Reading map · 7 October 2026

OpenAI’s mathematics release,
with a way in.

Logic, programming languages, verification and complexity—plus results you can explain without importing an entire specialty.

62 selected families · 115 manuscripts
Screened against the complete catalogue: 372 families / 722 manuscripts.[2][4]

Read as newly released claims, not independently certified results. OpenAI says the collection contains results at different verification stages and that unformalized results may have issues.[2] This page is a reading selection, not peer review. Reported Lean coverage is linked with its actual scope; no Lean/Comparator build was run here.

62 families · 115 manuscripts

Logic, languages, verification & foundations

Prioritized for type theory, formal methods, resource bounds, arithmetic reasoning and computability. The final model-theory and set-theory entries are explicitly broader horizons.

Jump to one of these 21 families

Family 245 · Types & reduction · Start here

The closest match: a general normalization theorem for dependent typed λ-calculi, rather than merely another theorem formalized in Lean. Read this first. [4]

Keep the scope: System-wide weak normalization implies system-wide strong normalization. Not a claim about an individual weakly normalizing term. Full β-reduction includes annotations; βη is not covered.

Mathematical logic · 1 manuscript · Lean scope available ↗

Weak and strong normalization in pure type systems

Catalogue abstract · OpenAI [6]

We prove that every weakly β-normalizing pure type system is strongly β-normalizing. Both properties quantify over all legal expressions in all valid contexts, and reduction acts inside type annotations. No functionality hypothesis is required. This resolves the β-Barendregt–Geuvers–Klop conjecture.

What the repository says is formalized [121]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalization proves the $\beta$-Barendregt–Geuvers–Klop conjecture for pure type systems: if every legal expression in every valid context has some terminating $\beta$-reduction sequence, then every $\beta$-reduction sequence from every such expression terminates. Reduction is allowed inside type annotations, and the specification may have arbitrary sorts and nonfunctional axioms or rules.

Comparator statements and exact scope ↗

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Family 104 · Verification & games · Start here

Quantitative verification and synthesis: long-run resource or reward constraints combined with parity objectives. Start with mean-payoff/parity, then its ordinary mean-payoff dependency. [4]

Keep the scope: Quasipolynomial in the complete binary encoding, not polynomial time. The Lean scope lists the randomized ordinary-game theorem and a finite optimization counterexample, not the deterministic stochastic/parity extensions.

Theoretical computer science · 4 manuscripts · Lean scope available ↗

Mean-payoff parity games in quasipolynomial time

Catalogue abstract · OpenAI [8]

We give a uniform deterministic quasipolynomial-time algorithm for mean-payoff parity games. It computes all vertices from which a player can enforce both nonnegative liminf mean payoff and the parity condition, with arbitrary signed binary rewards and unrestricted binary priorities. The running time is $2^{O((\log(L+2))^2)}$ bit operations, where L is the complete input length.

3 companion / alternative papers — abstracts & PDFs

Turn-Based Stochastic Mean-Payoff Games in Deterministic Quasipolynomial Time

Catalogue abstract · OpenAI [7]

We give a uniform deterministic quasipolynomial-time algorithm for finite turn-based stochastic mean-payoff games with signed integer rewards and rational chance-transition probabilities encoded in binary. It computes exactly the vertices of nonnegative value, including value zero, for the expectation of the pathwise liminf mean payoff. The algorithm uses exact rational arithmetic and $2^{O((\log(L+2))^2)}$ bit operations, where L is the complete binary input length.

Deterministic quasipolynomial-time mean-payoff games

Catalogue abstract · OpenAI [9]

We give a deterministic algorithm that computes the complete zero-threshold winning set of a finite mean-payoff game with arbitrary signed integer edge weights encoded in binary. For total explicit input length L, it uses $2^{O((\log(L+2))^2)}$ bit operations. A reduction also computes the exact rational value at every vertex and globally optimal positional strategies for both players within the same quasipolynomial bound.

Randomized quasipolynomial-time mean-payoff games

Catalogue abstract · OpenAI [10]

We give a randomized algorithm that computes the complete zero-threshold winning set of a finite mean-payoff game with arbitrary signed integer edge weights encoded in binary. For total explicit input length L, it uses $2^{O((\log(L+2))^2)}$ bit operations on every random tape and is correct with probability at least 7/8. A polynomial-time check certifies the winning regions and positional strategies for both players or reports failure. Independent repetition therefore gives an always-correct algorithm with the same expected quasipolynomial bit bound.

What the repository says is formalized [122]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalization checks that a specified two-step execution of Truffet's elimination procedure terminates with a feasible but nonoptimal output. It is a finite counterexample to that proposed optimization step.

The formalized result gives one randomized algorithm for the complete zero-threshold winning set of every finite mean-payoff game with signed binary weights. It succeeds with probability at least $7/8$ and runs in quasipolynomial bit time on every random tape. Self-loops, parallel edges, and history-dependent strategies are allowed, and winning means a nonnegative liminf average payoff.

Comparator statements and exact scope ↗

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Family 129 · Automata & succinctness · Start here

A direct automata-theoretic result about the resource cost of determinization and complementation. The one-way-liveness construction is the natural starting point. [4]

Keep the scope: The alphabets grow. Do not read the state lower bounds as fixed-alphabet bounds, transition-table-size bounds, or a separation of L and NL.

Theoretical computer science · 2 manuscripts · Lean scope available ↗

An exponential two-way deterministic state lower bound for one-way liveness

Catalogue abstract · OpenAI [12]

One-way liveness on h points accepts a word of binary relations when their ordered product is nonempty. For every h ≥ 2, it has a nondeterministic automaton with $h+3$ states and no left moves, whereas every equivalent s-state two-way deterministic automaton satisfies $4(s+2)^2\ge2^{\lfloor(h-2)/31\rfloor}$. Partial transition rules, stay moves, and nonaccepting infinite computations are allowed. The alphabets are finite and grow with h, so the result rules out an alphabet-independent polynomial state bound for deterministic two-way simulation, already for one-way nondeterministic sources.

1 companion / alternative paper — abstracts & PDFs

An exponential state lower bound for two-way nondeterministic complementation

Catalogue abstract · OpenAI [11]

We prove that two-way nondeterministic finite automata cannot be complemented with a polynomial number of states independent of the alphabet. For each n ≥ 4 we construct an n-state automaton over a finite alphabet whose complement requires at least $\tfrac12 2^{\lfloor(n-4)/127\rfloor}-1$ states.

What the repository says is formalized [123]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The paper asks how many states are needed to complement or determinize two-way nondeterministic finite automata. The formalization gives, for every $n\ge4$, an explicit $n$-state automaton whose complement requires at least $\tfrac12 2^{\lfloor(n-4)/127\rfloor}-1$ states. For the same family of relational languages and every $n\ge131$, every equivalent deterministic two-way automaton requires at least $\tfrac12 2^{\lfloor(n-4)/127\rfloor}$ states.

The alphabet grows with $n$, so neither complementation nor determinization has a polynomial state bound uniform over alphabets. The model has two endmarkers, left, right, and stay moves, and acceptance by a finite run. The separate results about one-way liveness and the Sakoda–Sipser problem are outside this scope.

The formalization gives a family of one-way nondeterministic automata with $h+3$ states whose languages require exponentially many states for two-way deterministic recognition. For every $h\ge2$, a deterministic recognizer with $s$ states satisfies $2^{\lfloor(h-2)/31\rfloor}\le4(s+2)^2$ under both acceptance conventions considered in the paper; one convention has the sharper factor $4(s+1)^2$. The alphabet may grow with $h$, so no alphabet-independent polynomial simulation bound holds.

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Family 134 · Formal languages · Start here

With complement available, three nested Kleene stars suffice for every regular language. A compact, striking language-theory statement. [4]

Keep the scope: Generalized star height, not ordinary star height. No expression-size bound; whether height one always suffices remains unresolved. Start at bound 3, not the earlier 13 or 4.

Theoretical computer science · 3 manuscripts · Lean scope available ↗

Generalized Star Height at Most Three

Catalogue abstract · OpenAI [15]

Every regular language over a finite alphabet has generalized star height at most three, with complement taken in the same free monoid. We express finite-monoid computations using a prefix code of word pieces.

2 companion / alternative papers — abstracts & PDFs

Finite Monoid Computations and a Uniform Generalized Star-Height Bound

Catalogue abstract · OpenAI [13]

Every regular language over a finite alphabet has a generalized regular expression of star height at most thirteen over that same alphabet. We prove this uniform bound by representing finite monoid computations as affine updates and recovering them through twelve successive split constructions.

Generalized Star Height at Most Four

Catalogue abstract · OpenAI [14]

Every regular language over a finite alphabet has generalized star height at most four over that same alphabet. We give a complete construction using an affine correction that hides one interval product, a finite clock, and several scales for moving boundaries through periodic words.

What the repository says is formalized [124]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

Generalized star height measures the nesting of Kleene stars in regular expressions that also allow Boolean operations. The formalization proves that every regular language over a finite alphabet has a generalized expression over the same alphabet of star height at most three. This is stronger than the bound of thirteen in the accompanying finite-monoid paper. The selected statement asserts the uniform expression bound, without separately encoding every construction step of that paper.

The formalization proves that every regular language over a finite alphabet has a generalized regular expression over that same alphabet with star height at most three. Generalized expressions allow Boolean operations as well as concatenation and Kleene star. The bound of three implies the accompanying paper's bound of four; the selected statement concerns the expression bound itself.

Generalized star height measures the nesting of Kleene stars in regular expressions that also allow Boolean operations. The formalization proves that every regular language over a finite alphabet has a generalized regular expression over that same alphabet of star height at most three. Complements are taken in the same free monoid. This is the paper's uniform bound.

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Family 141 · Real arithmetic & complexity · Start here

Exact existential–universal real constraints fall in a fixed counting-hierarchy level, including circuit-encoded polynomials: especially relevant to arithmetic reasoning and solver foundations. [4]

Keep the scope: A complexity upper bound, not a practical SMT procedure. The existential fragment has an explicit C₂₆P bound in the paper; this is not polynomial time.

Theoretical computer science · 1 manuscript · No family Lean scope linked in this snapshot

Existential–universal real sentences in the counting hierarchy

Catalogue abstract · OpenAI [16]

We prove that the existential theory of the reals lies in the counting hierarchy. More generally, we show that the truth of existential–universal sentences over the reals can be decided in a fixed level of the counting hierarchy, even when the integer polynomials are given by arithmetic circuits.

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Family 004 · Arithmetic undecidability

No general algorithm decides rational solvability of integer-polynomial equations: the cleanest link between arithmetic constraints and computability. [4]

Keep the scope: The variable count is part of the input. Rational solvability differs from real solvability in 141. The elliptic-curve companion is a technical input, not another undecidability theorem.

Number theory · 2 manuscripts · No family Lean scope linked in this snapshot

Hilbert’s tenth problem over the rational numbers

Catalogue abstract · OpenAI [17]

We give a negative answer to Hilbert's tenth problem over the rational numbers: no algorithm decides whether a polynomial with integer coefficients has a rational zero. The number of variables is part of the input.

1 companion / alternative paper — abstracts & PDFs

A pointwise 2-converse for elliptic curves with rational two-torsion

Catalogue abstract · OpenAI [18]

We prove a pointwise 2-converse for elliptic curves over $\mathbf Q$ with nonzero rational two-torsion: if the $2^\infty$-Selmer corank is zero or one, then the analytic rank and Mordell–Weil rank equal that corank, and the Shafarevich–Tate group is finite. The result allows arbitrary reduction at 2.

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Family 242 · Computability & witnesses

Arbitrary recursively enumerable sets have polynomial encodings with exactly one auxiliary witness per member. Witness uniqueness does not make general existence decidable. [4]

Keep the scope: Witnesses are natural-number tuples. Lean covers the representation theorem, not a separately formalized promised-undecidability corollary.

Mathematical logic · 1 manuscript · Lean scope available ↗

Single-fold Diophantine representations

Catalogue abstract · OpenAI [19]

Every recursively enumerable set of natural-number tuples has a polynomial Diophantine representation with exactly one complete auxiliary tuple for each member. This proves the single-fold conjecture and, consequently, the finite-fold conjecture.

What the repository says is formalized [125]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The single-fold Diophantine conjecture asks whether every recursively enumerable set has a polynomial representation with a unique auxiliary witness for each member. The formalization establishes this for every recursively enumerable subset of $\mathbb N^n$, $n\ge1$: an integer polynomial has exactly one complete natural-number witness tuple for members and none for nonmembers.

The consequence that solvability remains undecidable under an at-most-one-solution promise is not separately formalized.

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Family 243 · Finite model theory

Language expressiveness: a polynomial-time linear-consistency query is not expressible by full choiceless polynomial time with counting; witnessed choice adds genuine power. [4]

Keep the scope: Unordered finite structures and a specific formalism—not the impossibility of every conceivable logic capturing P.

Mathematical logic · 2 manuscripts · Lean scope available ↗

Choiceless polynomial time with counting does not capture polynomial time

Catalogue abstract · OpenAI [20]

We prove that choiceless polynomial time with counting does not capture polynomial time on unordered finite structures, confirming the noncapture conjecture of Blass, Gurevich and Shelah. A linear-consistency query over 𝔽3 in a fixed binary vocabulary is decidable in polynomial time but not in the full counting formalism.

1 companion / alternative paper — abstracts & PDFs

Witnessed symmetric choice is strictly stronger than choiceless polynomial time with counting

Catalogue abstract · OpenAI [21]

We prove that witnessed symmetric choice strictly increases the expressive power of choiceless polynomial time with counting. A fixed sentence with one witnessed-choice occurrence defines a Boolean query on every finite input that is not definable in the original counting formalism.

What the repository says is formalized [126]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalized result separates polynomial time from choiceless polynomial time with counting. It gives an explicit query on finite structures with eight relations that is invariant under isomorphism and decidable in polynomial time, but is not definable in the stated hereditarily finite-set language with cardinality and polynomial bounds on stages and intermediate objects. The query applies to all finite inputs without a promise. The separate witnessed-symmetric-choice result is not included.

The formalization proves that witnessed symmetric choice strictly increases the expressive power of choiceless polynomial time with counting. It constructs one fixed sentence with exactly one witnessed-choice occurrence that gives a Boolean answer on every finite input, while no sentence of the original counting formalism defines the same class of inputs.

Comparator statements and exact scope ↗

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Family 241 · Computability

The relative-computability order of Turing degrees permits no nontrivial order-preserving relabeling. A simple statement at the foundations of computability. [4]

Keep the scope: The statement is accessible after defining Turing degrees; the proof is specialist recursion theory.

Mathematical logic · 1 manuscript · Lean scope available ↗

Rigidity of the Turing degrees

Catalogue abstract · OpenAI [22]

We prove that every order automorphism of the full partial order of Turing degrees is the identity, resolving the rigidity conjecture for the Turing degrees positively.

What the repository says is formalized [127]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The rigidity problem asks whether the ordering of Turing degrees by relative computability has any nontrivial automorphism. The formalized result gives a negative answer: every order automorphism of the full Turing degrees of subsets of $\mathbb N$ fixes every degree, with no definability or genericity assumption. The additional representation corollaries are not included.

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Family 133 · Finite structures & complexity

A bridge between finite-variable reasoning, graph equivalence and lower bounds. Start with the unconditional fixed-dimension lower-bound paper. [4]

Keep the scope: Keep fixed and input-supplied dimensions separate. The unconditional time bounds use specified sequential adjacency-matrix models.

Theoretical computer science · 4 manuscripts · Lean scope available ↗

Unconditional time lower bounds for Weisfeiler–Leman equivalence

Catalogue abstract · OpenAI [25]

For every sufficiently large fixed k, deciding whether two n-vertex graphs are k-Weisfeiler–Leman equivalent requires $n^{\Omega(k)}$ deterministic sequential time in the worst case. The bound holds at every sufficiently large graph order, even for simple connected uncolored graphs of diameter at most two, without a complexity assumption. Inputs are explicit adjacency matrices; the models are multitape Turing machines and sequential logarithmic-word RAMs with fixed polynomial-bit-time instructions. Both joint and separate replacement conventions are covered.

3 companion / alternative papers — abstracts & PDFs

Parity lifts and bounded-treewidth witnesses for Weisfeiler–Leman equivalence

Catalogue abstract · OpenAI [23]

For k ≥ 4, we construct two uncolored graphs that are k-dimensional Weisfeiler–Leman equivalent exactly when a prescribed finite-domain choice system has no compatible choice. The system has $k+1$ domains for joint refinement and k for separate-coordinate refinement. A successful choice is detected after two joint rounds or one separate round. Applied to sparse satisfiability, the reduction gives fixed-dimension $n^{\Omega(k)}$ time exclusions under positive-rate ETH, even for deciding equality of these early histograms.

The complexity of identifying a graph by Weisfeiler–Leman refinement

Catalogue abstract · OpenAI [24]

We prove that deciding whether Weisfeiler–Leman refinement of an input dimension identifies a given graph is EXPTIME-complete. The input is a nonempty finite simple uncolored graph in adjacency-matrix form and a positive binary-encoded dimension. Identification quantifies over every comparison graph.

Variable-dimension Weisfeiler–Leman equivalence on general and subcubic graphs

Catalogue abstract · OpenAI [26]

Deciding joint-update k-dimensional Weisfeiler–Leman equivalence is $\mathsf{EXPTIME}$-complete when the two graphs are given by explicit adjacency matrices and k ≥ 2 is encoded in binary. The result holds even for connected simple uncolored graphs of equal positive order and maximum degree at most three.

What the repository says is formalized [128]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalization gives the paper's parity-lift graph construction for every Weisfeiler–Leman dimension $k\ge4$, under both joint and separate conventions. From a finite choice system it constructs two equal-size uncolored graphs that are Weisfeiler–Leman equivalent exactly when the system has no successful compatible choice. The same equivalence holds for the pure variant.

A successful choice is detected by the specified early round: round two in the joint convention and round one in the separate convention. The graph-size bound is linear in the choice-system size with a factor depending on $k$. The paper's conditional running-time exclusions are outside these selected construction statements.

The formalization proves that deciding whether Weisfeiler–Leman refinement of a supplied dimension identifies a graph is EXPTIME-complete under polynomial-time many-one reductions. The input is a nonempty finite simple uncolored graph encoded by its adjacency matrix together with a positive binary-encoded dimension. Identification quantifies over every comparison graph, and the statement includes both the exponential-time upper bound and hardness.

The formalization proves an unconditional deterministic time lower bound for deciding $k$-dimensional Weisfeiler–Leman equivalence. For every sufficiently large fixed $k$, every deciding algorithm in the stated multitape Turing-machine or sequential logarithmic-word RAM model requires at least $n^{ck}$ worst-case time for all sufficiently large graph orders $n$, for one absolute $c>0$.

The bound covers both joint and separate replacement conventions and remains valid for explicit adjacency-matrix inputs restricted to simple connected uncolored graphs of diameter at most two.

The formalization proves EXPTIME-completeness of deciding joint-update $k$-dimensional Weisfeiler–Leman equivalence when $k\ge2$ is part of the input in binary and the graphs are encoded by explicit adjacency matrices. It proves both the general result and the restriction to connected simple uncolored graphs of equal positive order and maximum degree at most three. Completeness uses polynomial-time many-one reductions.

Comparator statements and exact scope ↗

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Family 103 · Space complexity

A space-resource headline: eliminate randomness from polynomial-time logarithmic-space decision computations without losing logarithmic space. [4]

Keep the scope: L = RL = BPL does not state L = NL or P = BPP. No Lean scope document is linked in this snapshot.

Theoretical computer science · 1 manuscript · No family Lean scope linked in this snapshot

Exact derandomization of logarithmic space: L = RL = BPL

Catalogue abstract · OpenAI [27]

We prove $\mathsf L=\mathsf{RL}=\mathsf{BPL}$, resolving the derandomization problem for polynomial-time randomized logarithmic space.

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Family 137 · Resource bounds

A particularly relevant time–space tradeoff: recover a capped one-tape computation's control/halting outcome using roughly T^(2/5) space. [4]

Keep the scope: One writable tape/head; polylogarithmic factors remain. Simulation time is unrestricted, and the final tape need not be materialized. Not a general multitape two-fifths theorem.

Theoretical computer science · 1 manuscript · No family Lean scope linked in this snapshot

Simulating One-Tape Time in Two-Fifths-Power Space

Catalogue abstract · OpenAI [28]

We show that a fixed deterministic Turing machine with one writable tape and head can be simulated in $O(T^{2/5}\mathop{\mathrm{polylog}}\nolimits (T+2))$ work-space bits when a binary time cap T ≥ 2 is supplied. The simulator computes the finite-control and halting outcome by time T; its running time is unrestricted. The result allows a fixed number of read-only input heads and requires a fixed accessor that supplies every initial writable and read-only symbol within distance T of the relevant head origin in polylogarithmic space. This improves the square-root space exponent for one-tape machines, answering Williams's question for this model.

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Family 116 · Symbolic algorithms

Symbolic computation and identity checking for noncommutative formulas, with matrix witnesses and explicit bit-complexity guarantees in the papers. [4]

Keep the scope: Not general commutative circuit PIT. Lean coverage varies: the rational hitting-point theorem does not separately assert its construction-time or dimension bounds.

Theoretical computer science · 3 manuscripts · Lean scope available ↗

One Rational Matrix Hitting Point for Noncommutative Formulas

Catalogue abstract · OpenAI [30]

We construct, in deterministic polynomial bit time, one tuple of rational matrices that detects every nonzero polynomial computed by a noncommutative division-free formula of a prescribed size. The matrices have dimension $O(ns^2)$ for n variables and formula size s, and the same tuple works over every field of characteristic zero.

2 companion / alternative papers — abstracts & PDFs

Uniform Matrix Hitting Points in Every Positive Characteristic

Catalogue abstract · OpenAI [29]

We construct a single matrix substitution that detects every nonzero size-s division-free noncommutative formula in n variables over every field of a given positive characteristic. One deterministic machine, given a promised prime p in binary and n, s in unary, outputs matrices over 𝔽p of dimension $O(n^3s^6)$ in polynomial bit time. The same tuple works with arbitrary extension-field coefficients, including in characteristic two. The construction also applies to the stated acyclic algebraic path programs.

Polynomial Hitting Lists for Noncommutative Rational Formulas

Catalogue abstract · OpenAI [31]

We construct, in deterministic polynomial bit time, a polynomial-size list of rational matrix tuples for noncommutative rational formulas over ℚ of bounded tree size. Every nonzero admissible formula has a defined, invertible value at one tuple, with no separate bounds on inverse nesting or rational constant heights. Matrix dimensions, entry bit lengths, and total output length are polynomially bounded.

What the repository says is formalized [129]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalization gives one explicit tuple of rational matrices that simultaneously detects every nonzero division-free noncommutative formula with at most $s$ gates in $n$ variables, for $n,s\ge1$. Evaluation at that tuple is a nonzero matrix over every characteristic-zero field.

The selected theorem states this universal hitting property. The paper's deterministic polynomial bit-construction bound and matrix-dimension bound $O(ns^2)$ are not separately asserted in it.

The formalized result constructs polynomial-size hitting lists for noncommutative rational formulas with rational constants, addition, multiplication, and inverse gates. Given the number of variables and a formula-size bound, one deterministic polynomial-time machine outputs rational matrix tuples of a common positive dimension. Every admissible nonzero formula within the size bound evaluates to an invertible matrix on some listed tuple. The matrix dimension, complete binary output length, and running time are all polynomially bounded.

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Family 124 · Scheduling

Exactly minimize completion time for unit jobs with precedence constraints on three identical processors: close to resource analysis and easy to explain. [4]

Keep the scope: Exactly three machines and unit-length, nonpreemptive jobs. Do not generalize to arbitrary job lengths or processor counts.

Theoretical computer science · 1 manuscript · Lean scope available ↗

A Polynomial-Time Algorithm for Three-Machine Unit-Job Scheduling

Catalogue abstract · OpenAI [32]

We give a uniform deterministic polynomial-time algorithm for scheduling unit-length jobs with arbitrary precedence constraints on three identical parallel machines. The algorithm constructs a schedule of minimum makespan and decides exactly whether all jobs can finish by a specified deadline. The proof reorganizes feasible schedules into intervals whose job sets have descriptions of bounded size. A dynamic program searches a family containing polynomially many such descriptions. Global boundary conditions and simplification of inherited information keep the descriptions bounded throughout the decomposition.

What the repository says is formalized [130]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalization gives a deterministic polynomial-time algorithm for scheduling nonempty collections of unit-length jobs with arbitrary acyclic precedence constraints on three identical parallel machines. It constructs a schedule of minimum makespan and decides exactly whether a valid specified deadline can be met. The algorithm is one fixed finite machine, and its running time is bounded by a polynomial in the binary input length.

Comparator statements and exact scope ↗

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Family 235 · SAT & probability

SAT meets probability: limiting thresholds, sharp hitting-time variance, and computability of the 3-SAT threshold. Start with the computability paper. [4]

Keep the scope: The catalogue credits Gaia Carenini with priority for threshold existence. The Θ(n) 3-SAT variance is a later companion; Lean still states the earlier O(n log n) upper bound. Computable is not efficiently computable.

Probability and statistical mechanics · 4 manuscripts · Lean scope available ↗

Computing the Random 3-SAT Threshold

Catalogue abstract · OpenAI [36]

The limiting satisfiability threshold of uniform random 3-SAT is a computable real. We credit Gaia Carenini [original ref. 4] with priority for resolving the satisfiability conjecture, which establishes the threshold's existence. We prove that one finite deterministic machine can approximate it to any prescribed accuracy. A deletion estimate gives explicit lower certificates, while a finite hierarchical approximation of the soft pressure gives upper certificates at every larger rational density. A fair search through these certificates halts without requiring a computable rate of finite-size convergence.

3 companion / alternative papers — abstracts & PDFs

A Limiting Satisfiability Threshold for Every Fixed Clause Size

Catalogue abstract · OpenAI [33]

For every fixed integer k ≥ 3, random k-SAT with independent uniformly signed clauses on distinct variables, sampled with replacement, has a finite positive limiting satisfiability threshold. We credit Gaia Carenini [original ref. 5] with priority for resolving the satisfiability conjecture. This paper gives an alternative proof, using concentration of a capped last satisfiable index and a comparison between different system sizes.

Linear Variance of the Random 3-SAT Hitting Time

Catalogue abstract · OpenAI [34]

For random 3-SAT on n Boolean variables, with independent uniformly signed clauses on three distinct variables sampled with replacement, we prove that the first unsatisfiable prefix has variance $\Theta(n)$. The upper bound removes the logarithmic loss in the earlier variance estimate; the matching lower bound follows from Wilson's transition-width theorem.

Variance of the Random k-SAT Hitting Time

Catalogue abstract · OpenAI [35]

Let Hn be the index of the first unsatisfiable prefix in random k-SAT on n variables, with independent uniformly signed clauses using k distinct variables and sampled with replacement. For every fixed k ≥ 4, we prove $\mathop{\mathrm{Var}}\nolimits (H_n)=\Theta_k(n)$. For k = 3, the variance is bounded below by a positive multiple of n and above by a constant multiple of $n\log n$; the companion paper on random 3-SAT sharpens this to $\Theta(n)$. The same upper bounds proved here hold after clipping at any fixed positive multiple of n.

What the repository says is formalized [131]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The random $k$-SAT threshold problem asks whether satisfiability changes at one limiting clause density. The formalization proves that every fixed integer $k\ge3$ has a finite positive threshold $\alpha_k$: for every fixed density $c<\alpha_k$, the satisfiability probability tends to one as the number of variables grows, while for every $c>\alpha_k$ it tends to zero. Clauses use distinct variables with independent uniform signs and are sampled independently with replacement. The statement makes no assertion at the threshold itself.

Let $H_n$ be the first unsatisfiable prefix length in random $k$-SAT with independent uniformly signed clauses on $k$ distinct variables, sampled with replacement. The formalization proves $\mathrm{Var}(H_n)=\Theta_k(n)$ for every fixed $k\ge4$. For $k=3$, it proves a positive linear lower bound and an $O(n\log n)$ upper bound. The same upper bounds hold after clipping at any fixed positive multiple of $n$, and linear lower bounds hold for sufficiently high clipping levels.

The linked supplements prove sharpness of the separate survival-lifetime and clause-replacement estimates used in the argument. They do not show that the logarithmic factor in the $k=3$ variance bound is necessary.

The formalization proves that the limiting threshold $\alpha$ for uniform random $3$-SAT is a computable positive real. Satisfiability tends to one at every fixed density below $\alpha$ and to zero at every fixed density above it. One deterministic machine produces a rational number $q_r$ for every requested precision $r$ with $|q_r-\alpha|\le2^{-r}$. No computable rate of finite-size convergence is assumed in the statement.

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Family 206 · Algebra & decidability

Recognizing which finite lattices arise as full congruence lattices of finite algebras is undecidable: finite algebra meets computability. [4]

Keep the scope: Reported Lean coverage is the colored-graph characterization, not undecidability or subgroup intervals. Not a new abstract-interpretation algorithm.

Algebra · 2 manuscripts · Lean scope available ↗

Finite congruence lattices: characterization and undecidability

Catalogue abstract · OpenAI [37]

We give an explicit colored-graph characterization of the finite nonempty lattices that occur as full congruence lattices of finite algebras, and prove that deciding this representation property is undecidable. In particular, the finite lattice representation problem has a negative answer. We also prove that recognition of full subgroup intervals in finite groups is undecidable.

1 companion / alternative paper — abstracts & PDFs

A negative solution to the finite lattice representation problem

Catalogue abstract · OpenAI [38]

We give a negative solution to the finite lattice representation problem. We prove that there is a finite nonempty lattice that is not the full congruence lattice of any finite nonempty algebra of any finite signature.

What the repository says is formalized [132]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The finite lattice representation problem asks which finite lattices occur as the full congruence lattice of a finite algebra. The formalization proves the paper's colored-graph characterization: a finite nonempty lattice is representable exactly when it admits the specified finite nonempty graph witness, whose edge colors encode the required congruence relations. This selected theorem is the equivalence with the graph criterion; the paper's undecidability and subgroup-interval conclusions are outside it.

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Family 312 · Higher-categorical foundations

A higher-categorical neighbor of type theory: weak globular ∞-groupoids recover spaces' homotopy theory in the stated convention. [4]

Keep the scope: Not a theorem about a particular HoTT calculus. Lean covers elementary expansions, not the full homotopy comparison.

Topology · 1 manuscript · Lean scope available ↗

The Grothendieck homotopy hypothesis via elementary expansions

Catalogue abstract · OpenAI [39]

We prove the Grothendieck homotopy hypothesis for every Grothendieck coherator in the Ara–Henry convention: its weak globular infinity-groupoids recover the homotopy theory of spaces. We also resolve Henry's pushout conjecture, showing that elementary expansions preserve components and all homotopy groups of cellular infinity-groupoids.

What the repository says is formalized [133]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The Grothendieck homotopy hypothesis asks whether algebraic $\infty$-groupoids recover the homotopy theory of spaces. The formalized result is the elementary-expansion theorem used in this approach: for every Grothendieck coherator in the Ara–Henry convention and every boundary-cellular model, attaching an $(n+1)$-disk along its source $n$-face induces a weak equivalence.

The later semi-model structure and full comparison with the homotopy theory of spaces are not included.

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Family 317 · Higher-categorical foundations

Strict higher categories support model structures equivalent to spaces' homotopy theory in every stated dimension. [4]

Keep the scope: Specialist foundations reading involving the Street nerve and Quillen equivalences; not directly usable CBPV semantics.

Topology · 1 manuscript · Lean scope available ↗

Thomason Model Structures in Every Strict Higher Dimension

Catalogue abstract · OpenAI [40]

We prove the higher-dimensional Thomason model-structure conjecture of Ara and Maltsiniotis. For every $1\le n\le\infty$, the category of small strict globular n-categories admits a proper combinatorial model structure that is Quillen equivalent to simplicial sets. Its weak equivalences and fibrations are detected by the twice-extended Street nerve $\mathrm{Ex}^2N_n$, and the Quillen equivalence is given by $c_n\mathrm{Sd}^2\dashv\mathrm{Ex}^2N_n$. Thus strict higher categories model the homotopy theory of spaces in every positive finite dimension and in dimension ω.

What the repository says is formalized [134]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalization proves the higher-dimensional Thomason model-structure theorem for small strict globular $n$-categories in every positive finite dimension and in dimension $\omega$. Each category has the stated proper combinatorial model structure, Quillen equivalent to simplicial sets through the twice-subdivided categorification and twice-extended Street nerve adjunction.

The selected statements also identify weak equivalences by the Street nerve in all these dimensions. Thus the constructions model the homotopy theory of spaces throughout the stated range.

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Family 376 · Computability in dynamics

Compile a program into smooth fluid forcing so that a designated observation detects halting. A vivid computability statement outside discrete mathematics. [4]

Keep the scope: Externally forced flows and exact observations—not an unforced Navier–Stokes or blow-up theorem, nor a noise-robust physical computer. Companion papers have different forcing contracts.

Partial differential equations · 9 manuscripts · Lean scope available ↗

A Fixed Particle Test for Computation in a Forced Viscous Flow

Catalogue abstract · OpenAI [42]

We construct smooth external forces for incompressible Navier–Stokes flow on a fixed flat three-torus at any fixed positive computable viscosity, from zero initial velocity, such that a fixed particle enters a fixed open set exactly when a prescribed Turing machine halts. Every mixed derivative of the force and velocity is bounded and square-integrable in time in spatial supremum norm. The construction uses the machine's ordinary instructions, records their history in a third coordinate, and compensates for finer spatial gates by longer time steps.

8 companion / alternative papers — abstracts & PDFs

Finite Instructions and Solenoidal Shear Flows

Catalogue abstract · OpenAI [41]

We realize finite reciprocal affine instruction maps by smooth incompressible shear flows on a flat three-torus. Applied to a reversible one-head recorder with a finite transition table, this gives a complete machine-to-fluid construction: a fixed particle enters a fixed open strip exactly when a given machine halts, with zero initial velocity, zero pressure, and a solenoidal mean-zero force that is periodic after initialization. The construction acts on full closed rectangles and controls every intermediate trajectory. Separate heights resolve overlap between sources and targets, and an endpoint-size estimate controls all excursions independently of the reciprocal scaling factor.

Universal Computation with Eventually Stationary Navier–Stokes Forcing

Catalogue abstract · OpenAI [43]

At every fixed positive computable viscosity, we construct smooth mean-zero forces on the flat three-torus that become stationary after time one and make a fixed particle, initially in a fluid at rest, enter a fixed open set exactly when a prescribed Turing machine halts. The force has bounded derivatives of every order and a finite effective description. A reversible recording table is realized on whole planar rectangles by Hamiltonian motions, then driven by a mean-zero spatial clock. Separate choices give periodic forcing from time zero or a force whose derivatives are square-integrable in time.

Geometric Programs for Solenoidal Forcing

Catalogue abstract · OpenAI [44]

We construct smooth solenoidal mean-zero forces, periodic from time zero, for which a fixed particle on a flat three-torus reaches a fixed open strip exactly when a given machine halts. The initial fluid velocity and the pressure are zero. We also realize positive diagonal maps on coding sheets by incompressible shears, with explicit normal compensation for changes of planar area, and reciprocal maps on whole boxes of positive thickness. Complete local inverses, initialization rules, and intermediate trajectory bounds connect these geometric constructions to finite computations.

Prefix Instructions and Incompressible Flows

Catalogue abstract · OpenAI [45]

Finite prefix instructions may change area and erase information. We give explicit history processors and smooth incompressible motions that retain that information and realize every instruction on its full domain. A first application assigns each machine and finite input a smooth mean-zero force on the flat unit three-torus, at any fixed positive computable viscosity. The solution starts from rest; a fixed particle enters a fixed open strip exactly when the machine halts. The force repeats with period one after an initial loading interval. We then prove alternative realizations using full boxes, normal compensation, invariant planes, and a spatial clock. The constructions specify their initialization, comparison class, derivative bounds, and continuous-time observation. Exact formulas and effective cutoffs provide finite descriptions of the fields and all their derivatives.

Computation under Rapidly Vanishing Navier–Stokes Forcing

Catalogue abstract · OpenAI [46]

At any fixed positive computable viscosity, smooth forces can make a fixed fluid particle detect the halting of an arbitrary machine, starting from rest, while every mixed derivative of the force and velocity decreases faster than every inverse power of time. We give three complete memory constructions: compact moving curls, alternating fractional coordinates, and a periodic lattice on the flat three-torus. Each machine step takes one unit of physical time. The constructions retain earlier records at separated spatial scales and use an exact open detector with a shrinking signal.

Velocity-Field Detection of Computation in Forced Navier–Stokes Flows

Catalogue abstract · OpenAI [47]

We construct smooth forces for three-dimensional incompressible Navier–Stokes flow, from rest at any fixed positive computable viscosity, whose velocity field detects whether a prescribed machine halts. On the unit flat torus, a pointwise test of the third velocity component uses successively shorter stirring intervals in a fixed spatial region. On $\mathbb R^2\times\mathbb T$, an integral test uses an expanding array of translation regions and a force with globally bounded mixed derivatives. The vertical velocity solves an advection–diffusion equation: short bursts control its pointwise error in the first construction, and a moving cutoff controls the total escaped mass in the second.

Scalar Potentials and Slow Clocks for Forced Fluid Computation

Catalogue abstract · OpenAI [48]

We construct smooth forces of fixed compact spatial support for three-dimensional incompressible Navier–Stokes flow from rest whose particle at the origin detects halting by entering a fixed half-space. Every mixed derivative of the force and velocity decays at rate $O((1+t)^{-1-j})$ for time order j. Three scalar potentials lift a coded rectangle, perform its instruction, and lower its image; an unbounded logarithmic clock supplies the decay. We also realize area-changing prefix instructions on an invariant torus plane, and construct a planar Hamiltonian processor admitting periodic forcing, stationary forcing after startup, and a velocity-field detector through a companion diffusion theorem.

Incompressible Box Transport and Finite Computation

Catalogue abstract · OpenAI [49]

We realize finite positive diagonal affine maps of determinant one by effective smooth incompressible flows on neighborhoods of entire closed rational solid boxes. The source and target families are each disjoint, but may overlap each other. The construction uses localized curls, evacuation to storage and obstacle detours. A balanced three-stack recorder then assigns every machine and finite input a smooth Navier–Stokes force with one compact spatial support, periodic after a loading interval, at any fixed positive computable viscosity. The fluid starts at rest, and one fixed particle enters one fixed open cube exactly when the machine halts. Further constructions give fixed torus charts, periodicity from time zero, alternative history guards and bounded or slab observers. Onto slow clocks yield separate decaying forces. Each construction includes an all-time observation proof, effective derivative bounds and a stated pressure comparison class.

What the repository says is formalized [135]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalization realizes finite families of prescribed positive diagonal maps on coding sheets by smooth incompressible flows on a flat three-torus. At every positive computable viscosity, it supplies a solution starting from rest with zero pressure and a force that is divergence free, has spatial mean zero, and is one-periodic from time zero. Each map acts on every point of its source sheet, and the construction provides effective bounds for all mixed derivatives.

This selected statement covers the sheet programs. The paper's fixed-particle halting detector and its reciprocal maps on solid boxes are outside its scope.

The formalization proves that a fluid particle can detect arbitrary finite-machine halting using alternating-coordinate memory in smooth incompressible Navier–Stokes flows whose velocity and force decay faster than every inverse power of time, including every mixed derivative. For each fixed positive computable viscosity, the construction starts from rest and provides effective forces, unique material trajectories, and an exact equivalence between entering a fixed open detector and halting.

The velocity and force share one compact support for every machine and input. The solution-uniqueness assertion uses the stated energy comparison class.

The formalization constructs smooth forced three-dimensional Navier–Stokes flows from rest whose velocity fields detect whether a prescribed machine halts, at any positive computable viscosity. On the unit flat torus, halting is equivalent to the vertical velocity exceeding $1/2$ somewhere in a fixed observation strip. On $\mathbb R^2\times\mathbb T$, it is equivalent to the integral of the nonnegative vertical velocity over the observation half-plane times the circle exceeding $1/2$.

The torus force is confined to a fixed horizontal region. The cylindrical force has globally bounded mixed derivatives and compact horizontal support on every finite time interval. Both constructions have effective descriptions and uniqueness within their respective smooth solution-comparison classes.

The formalization realizes finitely many positive diagonal affine maps of determinant one between rational solid boxes by a smooth compactly supported divergence-free flow. Source boxes are pairwise disjoint and target boxes are pairwise disjoint, while overlap between the two families is allowed. Each map holds on a neighborhood of the entire source box, and the velocity is supported in the middle half of the time interval.

It also encodes every finite machine and input in a smooth, compactly supported incompressible Navier–Stokes flow on $\mathbb R^3$ starting from rest: the particle initially at $(4,0,0)$ enters the fixed open box $(-1,2)^3$ exactly when the machine halts. One velocity works for every viscosity $\nu>0$, with zero pressure and force $f_0+\nu f_1$. Velocity and force have bounded mixed derivatives and are one-periodic after time one; the repeated velocity depends only on the machine. The force is computable for computable $\nu$. Velocity is unique among smooth zero-data solutions with $u\in C_tH_x^2\cap C_t^1L_x^2$, bounded $u$ and $\nabla u$ on finite time intervals, and pressure modulo a function of time in $C_tH_x^1$.

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Family 240 · Model-theory horizon

A broader-logic horizon: eventual uniqueness of large models, with a companion counterexample to a proposed specific threshold. [4]

Keep the scope: Lean covers the CH threshold obstruction, not the eventual-categoricity theorem. These are different claims.

Mathematical logic · 2 manuscripts · Lean scope available ↗

Eventual categoricity for abstract elementary classes

Catalogue abstract · OpenAI [51]

We prove Shelah's eventual categoricity conjecture for abstract elementary classes in ZFC. For each infinite bound on the Löwenheim–Skolem number there is a uniform threshold such that categoricity in any one cardinal at or above that threshold implies categoricity in every cardinal at or above the same threshold.

1 companion / alternative paper — abstracts & PDFs

A CH obstruction to a prescribed categoricity threshold

Catalogue abstract · OpenAI [50]

Assuming the continuum hypothesis, we construct an abstract elementary class with Löwenheim–Skolem number ℵ0 that is categorical in every sufficiently large cardinal but has at least two nonisomorphic models of cardinality $\beth_{\omega_2}$. Thus categoricity does not transfer down to the proposed bound $\beth_{(2^{\aleph_0})^+}$, which equals $\beth_{\omega_2}$ under CH. Consequently, if ZFC is consistent, the prescribed-threshold form of Shelah's categoricity conjecture is not provable in ZFC.

What the repository says is formalized [136]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

Under the continuum hypothesis, the formalized result refutes the proposed transfer of categoricity down to the Hanf threshold. It gives an abstract elementary class in a countable relational language, with Löwenheim–Skolem number $\aleph_0$, that has two nonisomorphic models at $\beth_{\omega_2}=h(\aleph_0)$ but is categorical in every cardinal at least $\beth_{(2^{\aleph_1})^+}$.

No amalgamation, joint embedding, tameness, or absence-of-maximal-models assumption is imposed. The later canonical-point obstruction and the separate eventual-categoricity theorem are not included.

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Family 244 · Set-theory horizon

A crisp foundations separation: every surjective image can inject back into its source, yet Choice can still fail. [4]

Keep the scope: Relative consistency, assuming ZF is consistent. The separate formalized transitive-model construction has stronger ground-model hypotheses than the paper's preservation assertion.

Mathematical logic · 1 manuscript · Lean scope available ↗

The Partition Principle does not imply Choice

Catalogue abstract · OpenAI [52]

We prove that the Partition Principle does not imply the Axiom of Choice: if ZF is consistent, then so is ZF with the Partition Principle, Choice for ordinal-indexed families, and the negation of the Axiom of Choice. Separately, over every countable transitive model of ZFC, we construct a transitive symmetric model of this theory with the same ordinals and no new countable sequences of ground elements.

What the repository says is formalized [137]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The Partition Principle says that every surjection admits an injection in the reverse direction. The formalization proves the relative-consistency implication: if ZF is consistent, then so is ZF with the Partition Principle, Choice for ordinal-indexed families, and failure of the Axiom of Choice.

The linked model-construction result also constructs a transitive model of the Partition Principle without Choice from an externally countable transitive ground model satisfying the stated axioms, including Choice, and containing an internal strongly inaccessible cardinal. The paper's stronger transitive-model preservation assertions are outside that selected construction.

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Wider theoretical computer science

Selected complexity, algorithms, constraints, symbolic computation and quantum-computation results. Adjacent reading, not all equally close to programming-language research.

Jump to one of these 21 families

Family 102 · Approximation hardness

The approximation-complexity headline: Unique Games plus concrete hardness thresholds for Max-Cut, Vertex Cover, Min-UnCut and directed feedback vertex set. [4]

Keep the scope: NP-hardness does not settle P versus NP. The family includes independent direct hardness proofs, not merely conditional UGC consequences.

Theoretical computer science · 5 manuscripts · Lean scope available ↗

The Unique Games Theorem

Catalogue abstract · OpenAI [53]

We prove the Unique Games Conjecture. For every fixed $\varepsilon,\delta\in(0,1/2)$, we give a deterministic polynomial-time reduction from 3SAT to Unique Games over a fixed finite alphabet, with completeness at least $1-\varepsilon$ and soundness at most δ.

4 companion / alternative papers — abstracts & PDFs

A Direct Proof of Optimal Max-Cut Hardness

Catalogue abstract · OpenAI [54]

We prove that approximating Max-Cut on simple unweighted graphs within any fixed factor greater than the Goemans–Williamson constant is NP-hard.

The Factor-Two Hardness Threshold for Vertex Cover

Catalogue abstract · OpenAI [55]

We prove that minimum Vertex Cover is NP-hard to approximate within every fixed factor below two, even on simple unweighted graphs.

Constant-factor hardness of Min-UnCut

Catalogue abstract · OpenAI [56]

For every fixed C > 1, approximating Min-UnCut within factor C is NP-hard, even on simple undirected unweighted graphs.

Constant-factor hardness of directed feedback vertex set

Catalogue abstract · OpenAI [57]

Approximating minimum directed feedback vertex set within any fixed constant factor is NP-hard, even on unweighted digraphs.

What the repository says is formalized [138]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The Unique Games conjecture asks for hardness of distinguishing nearly satisfiable unique games from games of very small value. The formalized result gives, for every fixed $0<\varepsilon,\delta<1/2$, a deterministic polynomial-time reduction from binary 3SAT to nonempty unweighted simple bipartite unique games. Satisfiable inputs have value at least $1-\varepsilon$ and unsatisfiable inputs have value at most $\delta$. The alphabet is a fixed $\mathbb F_2^s$ depending only on the errors, and every constraint is a translation.

The formalized result establishes hardness of approximating Max-Cut beyond the Goemans–Williamson constant $\alpha_{\mathrm{GW}}$. For every fixed $\alpha_{\mathrm{GW}}<\alpha\le1$, it gives a deterministic polynomial-time reduction from binary 3SAT to a strictly separated Max-Cut gap on finite simple unweighted graphs. The reduction includes the explicit positive integer scaling used in the gap statement.

The formalized result gives the factor-two hardness threshold for Vertex Cover. For each integer $m\ge4$, a polynomial-time reduction from binary 3SAT produces simple unweighted graphs with cover density below $1/2+1/m$ on satisfiable inputs and above $1-1/m$ on unsatisfiable inputs. Consequently, any polynomial-time approximation with a fixed factor $1\le\alpha<2$ would give a polynomial-time decision algorithm for 3SAT. No assumption that $P\ne NP$ is built into the statement.

Min-UnCut minimizes the number of edges left uncut by a bipartition. The formalization constructs a deterministic reduction from encoded $3$-SAT formulas to finite simple unweighted Min-UnCut instances with arbitrarily large fixed multiplicative gaps. For every integer $K\ge2$, satisfiable formulas give optimum at most the output threshold, while unsatisfiable formulas give optimum strictly greater than $K$ times that threshold. Runtime and output length are polynomial for each fixed $K$, establishing hardness for every fixed approximation factor greater than one.

A directed feedback vertex set meets every directed cycle. The formalization proves hardness of approximating the minimum such set within any fixed constant factor. For every real factor $A\ge1$ and every language in NP, it constructs a polynomial-time gap reduction to unweighted directed graphs with the stated completeness and soundness separation. Thus a fixed-factor polynomial-time approximation would imply a polynomial-time algorithm for every NP language.

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Family 105 · CSP & PCP

A constraint-satisfaction milestone with perfect completeness: the satisfiable side really is satisfiable, not just nearly so. [4]

Keep the scope: The fixed alphabet depends on target soundness. These are 2-to-1 games, not the bijective constraints of Unique Games.

Theoretical computer science · 1 manuscript · Lean scope available ↗

Perfect completeness for 2-to-1 games

Catalogue abstract · OpenAI [58]

We prove the 2-to-1 Games Conjecture with perfect completeness. For every fixed rational $\delta\in(0,1)$, it is NP-hard to distinguish satisfiable 2-to-1 games from games of value at most δ, with a fixed alphabet and an explicitly listed unweighted multiset of constraints.

What the repository says is formalized [139]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalized result establishes perfect-completeness hardness for 2-to-1 games. For every fixed rational $0<\delta<1$, a deterministic polynomial-time reduction from binary 3SAT produces a nonempty unweighted game of value exactly $1$ on satisfiable inputs and at most $\delta$ on unsatisfiable inputs. Each constraint projection has exactly two preimages for each output label. The alphabet depends only on $\delta$, and the runtime is measured in the original input bit length.

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Family 106 · Graph algorithms

Even promised that a graph needs only three colors, finding a coloring with any fixed number of colors remains NP-hard. [4]

Keep the scope: A computational promise problem—not a statement that the promised graphs require more than three colors.

Theoretical computer science · 1 manuscript · Lean scope available ↗

Hardness of finding large independent sets in three-colorable graphs

Catalogue abstract · OpenAI [59]

We prove that, for every fixed $0\lt \delta\lt 1/3$, it is NP-hard to distinguish three-colorable graphs from graphs in which every independent set has fewer than δ times the number of vertices. Consequently, for every fixed integer c ≥ 3, finding a proper c-coloring of a three-colorable graph is NP-hard.

What the repository says is formalized [140]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalized result shows hardness of finding large independent sets even under a three-colorability promise. For every fixed $0<\delta<1/3$, a deterministic polynomial-time reduction maps binary 3SAT formulas to nonempty finite simple graphs. Satisfiable formulas produce three-colorable graphs; unsatisfiable formulas produce graphs whose largest independent set has fewer than $\delta$ times the number of vertices. The complete adjacency-matrix output is included in the runtime bound.

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Family 107 · Algebraic complexity

The matrix-multiplication headline, with separate complex square, rectangular, and all-field results. [4]

Keep the scope: ω ≤ 9/4 gives Oε(n^(9/4+ε)) arithmetic operations over ℂ. Not O(n^(9/4)) bit complexity, the same exponent over every field, or a practical BLAS replacement.

Theoretical computer science · 3 manuscripts · Lean scope available ↗

An Upper Bound of 9/4 for the Matrix Multiplication Exponent

Catalogue abstract · OpenAI [60]

We prove that the exponent of matrix multiplication over the complex numbers is at most 9/4.

2 companion / alternative papers — abstracts & PDFs

Complex Matrix Multiplication Below 2.258 and Rectangular Bounds

Catalogue abstract · OpenAI [61]

Over every field of characteristic zero, we prove that the square matrix-multiplication exponent satisfies ω < 2.258, the dual exponent satisfies α > 0.465, and $\omega(1,0.709,1)\lt 2.092$. The strict square and k = 0.709 rectangular bounds also hold over every field except possibly in one finite set of positive characteristics, in the arithmetic-operation model.

Staggered extraction for exact matrix multiplication over every field

Catalogue abstract · OpenAI [62]

We prove that the arithmetic exponent of square matrix multiplication over every fixed field satisfies ω < 2.371054886006746. This includes every positive characteristic.

What the repository says is formalized [141]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalized results bound the complex matrix-multiplication exponent by $\omega(\mathbb C)\le9/4$, the dual exponent by $\alpha>0.465$, and the rectangular exponent at aspect ratio $0.709$ by $\omega(\mathbb C;1,0.709,1)<2.092$. The dual exponent is the supremum of rectangular aspect ratios attainable with exponent $2$. The arithmetic model counts additions, subtractions, and multiplications in finite division-free programs, with arbitrary positive exponent slack. The square bound implies the paper's weaker $2.258$ headline bound.

The formalized result gives the unconditional bound $\omega(F)<2.371054886006746$ for every field $F$, including finite fields and fields of positive characteristic. The exponent counts additions, subtractions, and multiplications in finite division-free arithmetic programs, with arbitrary positive exponent slack. No numerical inequalities remain as hypotheses. The result concerns arithmetic complexity, rather than bit complexity or practical crossover sizes.

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Family 108 · Algebraic lower bounds

An algebraic lower bound linking permanent, determinant and branching-program representations: a counterweight to the many upper bounds. [4]

Keep the scope: A cubic border-determinantal lower bound, not a superpolynomial VP–VNP separation or a P-versus-NP resolution.

Theoretical computer science · 1 manuscript · Lean scope available ↗

A cubic lower bound for border determinantal complexity of the permanent

Catalogue abstract · OpenAI [63]

We prove that the complex border determinantal complexity of the $m\times m$ permanent is $\Omega(m^3)$, allowing arbitrary affine-linear determinant representations and coefficientwise limits. It also gives cubic lower bounds for exact determinantal complexity and for the numbers of vertices and edges in affine-linear algebraic branching programs, including coefficientwise limits with a fixed vertex or edge budget.

What the repository says is formalized [142]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalization proves a cubic lower bound for both exact and border determinantal representations of the complex $m\times m$ permanent. For $m\ge1408$, every affine-linear determinant representation of size $n$, including coefficientwise limits, satisfies $n\ge m^3/(5529600e)$.

A general supporting theorem applies to a polynomial in $d\ge2$ variables whose first nonzero homogeneous Taylor term has degree $r\ge2$ and no nonzero singular zero. Its exact and border determinantal sizes are at least $(r-1)(d-1)/(4e)$. The paper's algebraic-branching-program consequences are outside these statements.

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Family 109 · Bit complexity

Exact integer multiplication asymptotically beats n log n on a fixed multitape Turing machine: an elementary task with a delicate model-specific result. [4]

Keep the scope: The saving is κ = 2^(-182). The paper explicitly warns of extremely large constants and thresholds. Not a useful speedup at current input sizes.

Theoretical computer science · 1 manuscript · No family Lean scope linked in this snapshot

Integer multiplication below n log n

Catalogue abstract · OpenAI [64]

We give a deterministic algorithm that multiplies two n-bit integers in $O(n(\lg n)^{1-\kappa})$ worst-case time, with $\kappa=2^{-182}$, on one fixed finite-alphabet Turing machine with a fixed finite number of one-dimensional tapes. The algorithm is exact for every input length and disproves the $n\log n$ optimality conjecture of Schönhage and Strassen in this model.

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Family 112 · Circuit lower bounds

An explicit polynomial-time language needs more than a square-root-exponent gate count in depth-three OR–AND–OR circuits. [4]

Keep the scope: Restricted depth only. The theorem does not assert a fixed n^(1/2+ε) exponent, let alone an unrestricted circuit lower bound.

Theoretical computer science · 1 manuscript · Lean scope available ↗

Beyond the Square-Root Exponent for Depth-Three Boolean Circuits

Catalogue abstract · OpenAI [65]

We construct a language in deterministic polynomial time whose n-bit membership function requires $2^{\omega(\sqrt n)}$ gates in an unbounded-fan-in OR–AND–OR circuit. The bound holds at every sufficiently large input length and counts all gates, including the bottom layer.

What the repository says is formalized [143]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalized result gives one polynomial-time Boolean language whose exact depth-three OR–AND–OR circuit size eventually exceeds $2^{A\sqrt n}$ for every fixed $A>0$. The language and its polynomial-time algorithm are fixed before $A$ is chosen, while circuits may vary with the input length. Gates have unrestricted finite fan-in and sharing, with free input negations and constants. The result does not assert a fixed exponent $n^{1/2+\varepsilon}$ or a lower bound for unrestricted depth.

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Family 113 · Approximate counting

Counting ways to pair every vertex is harder than finding one pairing; this family gives a randomized relative-error scheme for general graphs. [4]

Keep the scope: Approximate randomized counting, not exact polynomial-time counting. Zero perfect matchings are detected with certainty.

Theoretical computer science · 2 manuscripts · Lean scope available ↗

A Fully Polynomial Randomized Approximation Scheme for Perfect Matchings in General Graphs

Catalogue abstract · OpenAI [66]

We give a fully polynomial randomized approximation scheme (FPRAS) for counting perfect matchings in arbitrary finite simple undirected graphs, resolving the general-graph perfect-matching approximation problem. The algorithm returns zero with certainty when no perfect matching exists. Otherwise, it achieves relative error ε with failure probability at most δ in worst-case bit time polynomial in the input length, $\varepsilon ^{-1}$, and $\log\delta^{-1}$.

1 companion / alternative paper — abstracts & PDFs

Entropy and Face Dimension of the Perfect-Matching Polytope

Catalogue abstract · OpenAI [67]

We prove the perfect-matching entropy conjecture of Anari, Oveis Gharan, and Vinzant. For every feasible vector x of perfect-matching edge marginals in a loopless labelled multigraph on $2m\ge2$ vertices, the maximum entropy $H(x)$ of a matching law with marginals x satisfies

$\displaystyle F(x)-(2-2/m)B(x)\le H(x)\le F(x),$

where $F(x)=-\sum_e x_e\log x_e$ and $B(x)=-\sum_e(1-x_e)\log(1-x_e)$. This bound holds throughout the polytope, including its boundary. We also prove the sharp bound $|\mathop{\mathrm{supp}}\nolimits x|-\dim F_x\le3m-2$, where Fx is the minimal face of the perfect-matching polytope containing x.

What the repository says is formalized [144]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalization gives a fully polynomial randomized approximation scheme for counting perfect matchings in every finite simple undirected graph. For rational $0<\varepsilon<1$ and $0<\delta<1/2$, it returns a nonnegative rational estimate with relative error at most $\varepsilon$ with probability at least $1-\delta$. If the graph has no perfect matching, every execution returns zero.

The algorithm is a fixed finite-alphabet randomized machine. Its worst-case running time is polynomial in the binary input length, $\varepsilon^{-1}$, and $\log(\delta^{-1})$, including on unsuccessful random tapes.

For feasible edge marginals $x$ of perfect matchings in a loopless multigraph on $2m$ vertices, let $F(x)=-\sum_e x_e\log x_e$, $B(x)=-\sum_e(1-x_e)\log(1-x_e)$, and let $H(x)$ be the maximum entropy of a matching law with those marginals. The formalization proves $F(x)-(2-2/m)B(x)\le H(x)\le F(x)$ for $m\ge1$, including boundary points of the polytope. It retains the earlier coefficient-eight entropy bound and the deterministic counting approximations with factors $512^n$ for loopless graphs and $2^{18n}$ with singleton loops.

A further statement identifies the exact face obtained by expanding a degree-three vertex into a triangle and shows that minimal faces are carried to minimal faces by the expansion. The paper's sharp global face-dimension bound is not part of that selected statement.

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Family 118 · Optimization gaps

A fractional bin-packing optimum can miss the actual optimum by arbitrarily many bins, even in the stated restricted instances. [4]

Keep the scope: Hardness of every fixed additive allowance, not nonexistence of multiplicative approximation schemes. Item sizes greater than 1/6 are already sufficient.

Theoretical computer science · 1 manuscript · Lean scope available ↗

Additive hardness and unbounded configuration gaps in bin packing

Catalogue abstract · OpenAI [68]

We disprove the Modified Integer Round-Up Conjecture for bin packing by constructing instances with arbitrarily large additive gaps between the configuration-LP value and the integral optimum. We also prove that, for every fixed nonnegative integer c, distinguishing instances that fit in B bins from those requiring more than $B+c$ bins is NP-hard. Both results hold with rational item sizes greater than 1/6, so each bin contains at most five items.

What the repository says is formalized [145]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalized results rule out a universal additive bound for the configuration linear program in bin packing. For every integer $c\ge0$, there are an integer $B$ and a rational instance with $5B$ items whose individual-copy and size-type configuration-LP values both equal $B$, but whose integral optimum is greater than $B+c$. Distinguishing a packing in $B$ bins from the absence of one in $B+c$ bins is NP-hard for each fixed $c$. A deterministic polynomial-time algorithm with a fixed absolute additive allowance exists exactly when $P=NP$; under that equality, an optimal algorithm is constructed.

Comparator statements and exact scope ↗

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Family 119 · Boolean information

Under independent bit-flip noise, retaining one original coordinate is optimal among Boolean one-bit summaries for the stated mutual-information objective. [4]

Keep the scope: Uniform independent input bits and symmetric noise—not a universal claim that compression or learned features are useless.

Theoretical computer science · 2 manuscripts · Lean scope available ↗

Sharp binary-information contraction on the discrete cube

Catalogue abstract · OpenAI [69]

We prove sharp contraction of the information carried by a binary channel under independent symmetric noise on a uniform discrete cube. At fixed initial information, a noisy coordinate retains the most information. The Boolean specialization resolves the Courtade–Kumar conjecture and gives an output-entropy refinement. We also establish a stronger mean-dependent entropy-production bound. The proof combines an explicit three-point optimizer for the local joining problem, two entropy capacities, and a common-output thinning inequality, followed by dimension induction and integration along the noise semigroup.

1 companion / alternative paper — abstracts & PDFs

Hellinger contraction with arbitrary Boolean output bias

Catalogue abstract · OpenAI [70]

We prove the Hellinger conjecture for Boolean functions on the uniform discrete cube, with arbitrary output bias. For a Boolean function of mean m and every $\rho\in[-1,1]$, the loss $\sqrt{1-m^2}-\mathbb E\sqrt{1-(T_\rho f)^2}$ is at most $1-\sqrt{1-\rho^2}$, with equality for signed coordinates. The proof combines asymmetric dimension induction, a calibrated noise-semigroup energy estimate, and finite exact arithmetic certificates. The Hellinger inequality also yields the Courtade–Kumar information bound.

What the repository says is formalized [146]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalization proves sharp contraction of the information carried by a binary channel under independent symmetric noise on a uniform discrete cube. At each fixed initial information level, a noisy coordinate channel attains the maximum retained information. It also proves the refined Boolean bound that accounts for output bias, with strict improvement for nonconstant biased outputs at nonzero noise correlation, and the selected mean-dependent entropy-production inequality.

For Boolean functions this includes the Courtade–Kumar inequality $I(f(X);Y)\le1-h_2(\varepsilon)$ in bits at crossover probability $0\le\varepsilon\le1/2$, where $h_2$ is binary entropy. A coordinate and its complement attain equality.

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Family 120 · Graph algorithms

Find an exact maximum matching in almost-linear randomized time, with a reduction for prescribed-degree factors. [4]

Keep the scope: Maximum cardinality, simple undirected graphs, and the stated word model. Success is probabilistic although the objective is exact.

Theoretical computer science · 1 manuscript · No family Lean scope linked in this snapshot

Almost-Linear-Time Maximum-Cardinality Matching in General Graphs

Catalogue abstract · OpenAI [71]

We prove that maximum-cardinality matching in a simple undirected graph with n vertices and m edges can be found by one uniform randomized algorithm in $(n+m)^{1+o(1)}$ time. The bound holds on every computation path in a logarithmic-word model, and the algorithm returns an explicit maximum matching with probability at least 2/3. An explicit reduction gives the same time and probability guarantees for deciding whether a simple host graph has a spanning subgraph with prescribed valid vertex degrees, and for finding one when it exists.

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Family 121 · String algorithms

Approximate edit distance within 1 + ε in almost-linear expected time for fixed accuracy: a familiar task with a clean statement. [4]

Keep the scope: Not exact edit distance or an accuracy-uniform linear bound. Unit edit costs and polynomially bounded integer alphabets matter.

Theoretical computer science · 1 manuscript · Lean scope available ↗

An Almost-Linear Approximation Scheme for Edit Distance

Catalogue abstract · OpenAI [72]

We give a uniform randomized approximation scheme for unit-cost edit distance. For every fixed rational $\varepsilon\in(0,1)$, it estimates the distance between arbitrary explicitly stored strings of total length N within a factor $1+\varepsilon$ with probability at least 2/3, in worst-case expected time $N^{1+o(1)}$ on a logarithmic-word RAM. The algorithm supports polynomially bounded integer alphabets and returns zero deterministically on equal strings.

What the repository says is formalized [147]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalization gives a randomized $(1+\varepsilon)$-approximation for unit-cost edit distance between explicitly stored integer strings, for every fixed rational $0<\varepsilon<1$. Its estimate is at least the true distance and at most $(1+\varepsilon)$ times it with probability at least $2/3$; equal strings return zero on every execution.

For total length at most $N$ and integer symbols bounded by a fixed polynomial in $N$, expected work is at most $(N+2)^{1+\eta}$ for every fixed $\eta>0$ and all sufficiently large $N$. Space is polynomially bounded on every execution.

Comparator statements and exact scope ↗

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Family 128 · String algorithms

Assemble strings into one string containing every input as a substring, within twice the shortest possible length. [4]

Keep the scope: The guarantee is for the constructed algorithm, not the classical maximum-overlap Greedy heuristic.

Theoretical computer science · 1 manuscript · Lean scope available ↗

A Polynomial-Time 2-Approximation for Shortest Common Superstring

Catalogue abstract · OpenAI [73]

We give a deterministic algorithm that, for every finite family of explicitly represented ordinary strings, outputs a common superstring of length at most twice the optimum in time polynomial in the total encoded input size, including symbol labels. The guarantee applies to the algorithm constructed here, not the classical maximum-overlap Greedy procedure.

What the repository says is formalized [148]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The shortest common superstring problem asks for the shortest string containing each input string as a contiguous substring. The formalized result gives one deterministic polynomial-time algorithm whose output is a common superstring of length at most twice the unrestricted optimum. It applies to every finite list of explicitly encoded strings, with running time measured in input bits and the approximation ratio measured in symbol length.

Comparator statements and exact scope ↗

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Family 130 · Arithmetic circuits

Exact Fourier arithmetic-operation counts below n log n, together with an earlier nonuniform circuit statement. [4]

Keep the scope: Unrestricted exact complex coefficients and supplied roots, not stable floating-point FFT cost. Lean covers the subsequential nonuniform result, not the all-length algorithm.

Theoretical computer science · 2 manuscripts · Lean scope available ↗

An explicit power saving for the exact discrete Fourier transform

Catalogue abstract · OpenAI [74]

We give a deterministic algorithm that computes the discrete Fourier transform at every length n in $O(n(\log n)^{1-10^{-13}})$ operations. The model uses exact complex arithmetic, unrestricted coefficients, specified Fourier roots, and unit-cost logarithmic-size indexing; scalar preparation and array organization are included.

1 companion / alternative paper — abstracts & PDFs

Finite tensor savings and exact Fourier circuits

Catalogue abstract · OpenAI [75]

We construct exact nonuniform Fourier circuits of size $o(n\log n)$ along an unbounded sequence of lengths, counting every addition, subtraction, and scalar multiplication. This refutes the $\Omega(n\log n)$ lower bound in the unrestricted complex linear-circuit model. The construction uses a finite tensor saving: a tensor power of some invertible nonmonomial complex matrix can be computed with fewer matrix calls than the standard tensor-axis algorithm on the same coordinates, when invertible monomial maps are allowed freely between calls.

What the repository says is formalized [149]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalized result gives exact discrete Fourier transforms with arbitrarily small normalized circuit cost along an unbounded sequence of lengths. For every $c>0$ and every cutoff $N_0\ge2$, some $n\ge N_0$ has a circuit computing the unnormalized DFT with fewer than $cn\log_2 n$ gates. Addition, subtraction, and multiplication by a predetermined complex scalar each cost one gate; diagonal scalings are charged. The result is subsequential, with no all-length, bounded-coefficient, conditioning, or bit-complexity claim.

Comparator statements and exact scope ↗

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Family 132 · Boolean complexity

How much more sensitive can a Boolean function be to coordinated blocks of bit flips than to single-bit flips? The quadratic upper-bound conjecture fails. [4]

Keep the scope: This refutes a quadratic strengthening, not the already established polynomial relation between sensitivity and block sensitivity.

Theoretical computer science · 1 manuscript · Lean scope available ↗

A superquadratic separation between sensitivity and block sensitivity

Catalogue abstract · OpenAI [76]

We disprove the quadratic strengthening of the Sensitivity Conjecture by constructing nonconstant total Boolean functions whose block sensitivity grows faster than any constant multiple of sensitivity squared. In fact, for some fixed α > 2, our examples have unbounded block sensitivity and satisfy $\mathop{\mathrm{bs}}\nolimits (f)\ge s(f)^\alpha$.

What the repository says is formalized [150]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalized result disproves a universal quadratic bound of block sensitivity by sensitivity for total Boolean functions. For every integer $d\ge1$, it constructs a nonconstant function with $\mathrm{bs}(f)/s(f)^2\ge2^d/(4(d+2)^2)$, making the ratio unbounded. The formalization also gives a fixed exponent $\alpha>2$ and a sequence with $s(f)^\alpha\le\mathrm{bs}(f,0)$ while the latter tends to infinity; here $\mathrm{bs}(f,0)$ is block sensitivity at the all-zero input.

Comparator statements and exact scope ↗

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Family 136 · Proofs & total search

Robust local verification for total search: an End-of-Line instance reduces to numerical constraints with quasilinear size overhead. [4]

Keep the scope: A PCP-for-PPAD reduction, not a polynomial-time solver for PPAD. Accuracy, allowed error fraction and assignment encodings are specified.

Theoretical computer science · 1 manuscript · No family Lean scope linked in this snapshot

The PCP-for-PPAD conjecture: a quasilinear reduction

Catalogue abstract · OpenAI [77]

We prove the quasilinear-size PCP-for-PPAD conjecture of Babichenko, Papadimitriou, and Rubinstein. There are fixed positive rational constants ε and δ and a deterministic polynomial-time reduction that transforms an End-of-Line instance of binary length N into a generalized circuit of total binary length $N(\log N)^{O(1)}$. From any rational assignment of polynomial encoding length that ε-satisfies all but a δ fraction of the gates, a solution to the original End-of-Line instance can be recovered in polynomial time, regardless of which gates fail. Such assignments always exist, with one fixed polynomial bound on their encoding length.

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Family 138 · Time–space algorithms

Worst-case Subset Sum below the meet-in-the-middle half-exponent, plus a separate low-space algorithm. [4]

Keep the scope: Randomized word-RAM algorithms on polynomial-bit integers. The low-space companion has a different time bound; do not combine both papers' best resources into one algorithm.

Theoretical computer science · 2 manuscripts · No family Lean scope linked in this snapshot

Subset Sum in Time $O(2^{0.49n})$

Catalogue abstract · OpenAI [78]

We give a uniform randomized classical algorithm for Subset Sum with bounded error and worst-case running time $O(2^{0.49n})$ on polynomial-bit inputs in a word-RAM model, where n is the number of input integers. The time bound holds on every random execution.

1 companion / alternative paper — abstracts & PDFs

A Low-Space Algorithm for Worst-Case Subset Sum

Catalogue abstract · OpenAI [79]

We give a uniform classical randomized decision algorithm for worst-case Subset Sum. Under every fixed polynomial bound on input-integer bit length, it uses $\mathop{\mathrm{poly}}\nolimits (n)2^{n/2}$ time and ordinary $O(2^{n/5})$ writable words of $O(n+b)$ bits, where b is the largest input bit length. Both resource bounds hold on every execution. The error is one-sided: the algorithm always rejects unsolvable instances and accepts each solvable instance with probability at least 2/3.

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Family 142 · Symbolic algorithms

Complete deterministic polynomial factorization over prime fields, with bit cost polynomial in degree and log p. [4]

Keep the scope: Polynomial factorization over 𝔽p, not integer prime factorization. The proof depends on the companion uniform Hecke zero-free theorem.

Theoretical computer science · 1 manuscript · No family Lean scope linked in this snapshot

Deterministic Polynomial Factorization over Prime Fields

Catalogue abstract · OpenAI [80]

We give a uniform deterministic polynomial-time algorithm for complete factorization over prime fields. For a prime p in binary and a nonzero polynomial $f\in\mathbf F_p[x]$ given by its dense coefficient list, the algorithm computes the irreducible factors and their multiplicities using a number of bit operations polynomial in $(\deg f+1)\log p$. The proof uses the uniform Hecke zero-free theorem from the companion paper Primitive roots for every admissible integer base.

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Family 274 · Quantum circuit complexity

A circuit lower bound at the classical/quantum boundary: shallow quantum circuits of the specified kind cannot compute parity with fixed worst-case advantage. [4]

Keep the scope: Constant depth, arbitrary one-qubit gates, unbounded Toffoli gates and polynomially many zero-initialized ancillas; other quantum models are not covered.

Mathematical physics · 2 manuscripts · Lean scope available ↗

Product-projection localization and the QAC0 parity lower bound

Catalogue abstract · OpenAI [81]

We prove that constant-depth quantum circuits with arbitrary one-qubit and unbounded-arity Toffoli gates cannot compute parity with any fixed positive worst-case advantage using polynomially many qubits. Ancillas start in zero, only one output qubit is measured, and all final garbage is unrestricted. This resolves Moore's parity conjecture in the measured-output model.

1 companion / alternative paper — abstracts & PDFs

Regular trajectories, pruning and quantum parity

Catalogue abstract · OpenAI [82]

We prove that constant-depth quantum circuits with arbitrary one-qubit gates and unbounded-arity Toffoli gates cannot compute parity with any fixed positive worst-case advantage using polynomially many total qubits. Ancillary qubits are initialized to $|0\rangle$, one output qubit is measured, and all other final registers may be discarded without restriction. This resolves Moore's parity conjecture in the measured-output model.

What the repository says is formalized [151]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalization rules out bounded-error parity computation by constant-depth quantum circuits with polynomially many zero-initialized ancillary qubits. For every fixed depth, polynomial bound on the total number of qubits, and $0<\varepsilon\le1/2$, every sufficiently large input length has an input on which the measured-output parity success probability is less than $1/2+\varepsilon$. A companion specialization gives success strictly below $2/3$. The formalization also includes the product-projection localization estimate supporting this bound.

The formalized result supplies the polynomial-size parity consequence of the paper. For every fixed circuit depth and polynomial bound on the number of qubits, all sufficiently large input lengths have an input on which any such circuit computes measured-output parity with probability strictly below $2/3$. Ancillary qubits start at zero. The formalization also contains the general positive-advantage parity bound and its product-projection localization estimate; regular-trajectory propagation and pruning are not separate formalized statements here.

Comparator statements and exact scope ↗

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Family 279 · Exact quantum computation

Upgrade quantum factoring from bounded error to exact probability-one success with one fixed finite gate set and polynomial worst-case resources. [4]

Keep the scope: An ideal exact quantum-circuit result—not a classical factoring algorithm, nor a noise-tolerant implementation claim.

Mathematical physics · 1 manuscript · Lean scope available ↗

Exact quantum factoring over a fixed finite gate set

Catalogue abstract · OpenAI [83]

We give a polynomial-time uniform quantum circuit family that outputs the complete prime factorization of every integer N ≥ 2 with probability one. A fixed finite set of bounded-arity gates suffices, and both the gate count and the number of qubits have polynomial worst-case bounds in the input length.

What the repository says is formalized [152]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalization constructs a polynomial-time uniform quantum circuit family that outputs the complete prime factorization of every integer $N\ge2$ with probability exactly one. The circuits use one fixed finite set of bounded-arity gates, and both the gate count and number of qubits have polynomial worst-case bounds in the bit length of $N$. The probability-one conclusion is exact, rather than an asymptotic or bounded-error guarantee.

Comparator statements and exact scope ↗

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Family 284 · Query complexity

Nearly quartic quantum query speedups for total Boolean functions match the exponent of the general upper bound. [4]

Keep the scope: Query complexity with unrestricted computation between queries, not a universal quartic running-time speedup.

Mathematical physics · 1 manuscript · No family Lean scope linked in this snapshot

A Nearly Quartic Separation Between Randomized and Quantum Query Complexity

Catalogue abstract · OpenAI [84]

We construct total Boolean functions with a nearly quartic separation between bounded-error randomized and quantum query complexity. Writing these complexities as $\mathrm R(f)$ and $\mathrm Q(f)$, the examples rule out every universal bound $\mathrm R(f)=O((1+\mathrm Q(f))^\alpha)$ with α < 4. Thus the known quartic upper bound has the optimal exponent, disproving the conjectured cubic bound. Both complexities count worst-case bit queries with error at most 1/3 on every input.

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Statements worth sharing outside the specialty

A deliberately selective tour of elementary, visual, recreational and undergraduate-level statements. Accessible refers to understanding the result—not necessarily following the proof.

Jump to one of these 20 families

Family 005 · Elementary statement

The alternating sum 1 − 1/9 + 1/25 − 1/49 + … is not a fraction of integers. One sentence states the whole result. [4]

Keep the scope: Irrationality, not transcendence. An accessible statement does not make the proof elementary.

Number theory · 1 manuscript · Lean scope available ↗

Catalan's constant is irrational

Catalogue abstract · OpenAI [85]

We prove that Catalan's constant $G=\sum_{j\geq0}(-1)^j/(2j+1)^2$ is irrational.

What the repository says is formalized [153]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalization proves that Catalan's constant $G=\sum_{j=0}^{\infty}(-1)^j/(2j+1)^2$ is irrational. This is the mathematical assertion in the paper's title.

Comparator statements and exact scope ↗

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Family 012 · Elementary statement

Compare the largest prime factors of consecutive integers: each ordering occurs with density one half, with a stronger independence law behind it. [4]

Keep the scope: An asymptotic distribution statement, not literal independence at every finite cutoff.

Number theory · 1 manuscript · Lean scope available ↗

The joint Dickman law for consecutive integers

Catalogue abstract · OpenAI [86]

Let $P^+(n)$ denote the largest prime factor of n. We prove that $\log P^+(n)/\log n$ and $\log P^+(n+1)/\log n$ are asymptotically independent in ordinary natural density, with Dickman marginals. This resolves the Erdős–Pomerance joint Dickman conjecture positively and implies that the ordering $P^+(n)\lt P^+(n+1)$ has natural density 1/2.

What the repository says is formalized [154]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

Let $P^+(n)$ be the largest prime factor of $n$. The formalization proves the joint Dickman law in ordinary natural density: for every $0<a,b<1$, the density of integers satisfying $P^+(n)\le n^a$ and $P^+(n+1)\le n^b$ tends to $\rho(1/a)\rho(1/b)$, where $\rho$ is the Dickman function.

It also proves that each of the orderings $P^+(n)<P^+(n+1)$ and $P^+(n+1)<P^+(n)$ has natural density $1/2$.

Comparator statements and exact scope ↗

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Family 013 · Elementary statement

The primes cannot be exactly all pairwise sums from two nontrivial sets of nonnegative integers—even after finitely many edits to the primes. [4]

Keep the scope: Inverse Goldbach is not Goldbach's usual conjecture about expressing even integers as sums of two primes.

Number theory · 1 manuscript · Lean scope available ↗

The additive indecomposability of the primes

Catalogue abstract · OpenAI [87]

We prove Ostmann's inverse Goldbach conjecture: no set differing from the primes by finitely many elements can be written as $A+B$, where A and B are sets of nonnegative integers with at least two elements each.

What the repository says is formalized [155]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalization proves Ostmann's inverse Goldbach conjecture. For any two sets $A,B$ of nonnegative integers, each containing at least two elements, the symmetric difference between their sumset $A+B$ and the set of primes is infinite. Thus no set differing from the primes by only finitely many elements can be decomposed as such a sumset. The linked statements include the full result and its two-infinite-summands case.

Comparator statements and exact scope ↗

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Family 017 · Calculus-level statement

How exceptionally well can fractions approximate π? No exponent strictly better than two works infinitely often. The Flint–Hills trigonometric series follows as a consequence. [4]

Keep the scope: Not a uniform c/q² lower bound, nor bounded continued-fraction coefficients. The denominator threshold is non-effective; the series consequence is outside the reported Lean statement.

Number theory · 1 manuscript · Lean scope available ↗

The irrationality exponent of pi is 2

Catalogue abstract · OpenAI [88]

We prove the conjecture that the irrationality exponent of π is 2. As a consequence, the classical Flint–Hills series $\sum_{n\ge1}1/(n^3\sin^2 n)$ converges, with angles in radians.

What the repository says is formalized [156]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalization proves that the irrationality exponent of $\pi$ is exactly two. For every $\nu>2$, all sufficiently large positive denominators $q$ satisfy $|\pi-p/q|\ge q^{-\nu}$ for every integer numerator $p$. It also states the exact supremum characterization using infinitely many rational approximations.

The paper's convergence consequence for the Flint–Hills series is outside this selected statement.

Comparator statements and exact scope ↗

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Family 021 · Elementary statement

If an integer has k distinct prime factors, every sufficiently long interval—of quadratic order in k—contains a number coprime to it. [4]

Keep the scope: The abstract actually gives the stronger k²/(log log(3k))² bound. It does not identify the optimal order of growth.

Number theory · 1 manuscript · Lean scope available ↗

A quadratic bound for Jacobsthal's function

Catalogue abstract · OpenAI [89]

Let $h(k)$ be the least integer such that every interval of $h(k)$ consecutive integers contains an integer coprime to any prescribed positive integer having at most k distinct prime divisors. We prove $h(k)\ll k^2/(\log\log(3k))^2$, giving an affirmative answer to Jacobsthal's quadratic-bound question.

What the repository says is formalized [157]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

Let $h(k)$ be the least interval length that guarantees an integer coprime to any prescribed positive modulus with at most $k$ distinct prime factors. The formalization proves the paper's strengthened Jacobsthal bound $h(k)\le Ck^2/(\log\log(3k))^2$ for one absolute $C>0$ and every $k\ge1$. Intervals may begin at any signed integer. The earlier quadratic bound is also retained as a separate statement; the optimal order of growth is not determined.

Comparator statements and exact scope ↗

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Family 025 · Elementary statement

Every proper positive fraction with denominator b can be written as a sum of only O(log log b) distinct unit fractions, and that worst-case order is best possible. [4]

Keep the scope: This bounds the number of terms, not the sizes of the denominators or a practical algorithm's running time.

Number theory · 1 manuscript · Lean scope available ↗

Short Egyptian fractions

Catalogue abstract · OpenAI [90]

We prove a conjecture of Erdős: for every sufficiently large integer b, every rational number $a/b$ with $1\le a\lt b$ is a sum of $O(\log\log b)$ distinct positive unit fractions, with an absolute implied constant. This order is best possible when the numerator varies. We also show that both the number of expansions of 1 with exactly k distinct terms and the least integer at least 2 that never occurs as a denominator in such an expansion grow doubly exponentially in k: their double logarithms have order k.

What the repository says is formalized [158]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

An Egyptian-fraction expansion writes a rational number as a sum of distinct unit fractions. The formalization proves that every $a/b$ with $1\le a<b$ has such an expansion and that the largest minimum length at denominator $b$ is $\Theta(\log\log b)$. If $F(k)$ counts exact $k$-term expansions of $1$, it also proves $\log\log F(k)=\Theta(k)$ and bounds every denominator in such an expansion.

Every integer $m\ge2$ occurs as a denominator in an expansion of $1$, with length eventually at most $(257/\log2+\varepsilon)\log\log m$ for every $\varepsilon>0$; padding can preserve that denominator. If $v(k)$ is the least integer at least $2$ absent from all exact $k$-term expansions of $1$, then eventually $e^{e^{k/600}}\le v(k)\le1+k^{2^{k-1}}$, and $\liminf_{k\to\infty}\log\log v(k)/k\ge\log2/257$.

Comparator statements and exact scope ↗

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Family 028 · Visual statement

Imagine hopping between prime points in the Gaussian-integer grid: no fixed maximum jump length lets you visit distinct primes forever. [4]

Keep the scope: A Gaussian prime is a prime in ℤ[i], not simply a grid point with prime coordinates. The uniform component-size bound is nonexplicit.

Number theory · 1 manuscript · Lean scope available ↗

Bounded-Step Walks on Gaussian Primes

Catalogue abstract · OpenAI [91]

We prove the Gaussian moat conjecture: no infinite walk through distinct Gaussian primes can have bounded steps. More strongly, for each fixed finite step bound, the connected components of the Gaussian-prime graph have uniformly bounded size. This bound applies to every starting prime, including primes on the coordinate axes, and is nonexplicit. The proof constructs a finite periodic sieve obstruction using geometric sampling and information-theoretic estimates.

What the repository says is formalized [159]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The Gaussian moat problem asks whether an infinite walk through distinct Gaussian primes can have bounded step lengths. The formalized result gives a negative answer for every real step bound $D$. More strongly, one finite bound depending only on $D$ limits the size of every connected component of the bounded-step graph and the length of every injective bounded-step walk. Axis primes and all associates are included. No explicit function of $D$ is supplied.

Comparator statements and exact scope ↗

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Family 074 · Geometric statement

A set containing a unit line segment in every direction in four-dimensional space must have full Hausdorff dimension. Start with the four-dimensional paper. [4]

Keep the scope: Full dimension does not mean positive volume. The three-dimensional companion concerns the stronger maximal-operator estimate.

Real and complex analysis · 2 manuscripts · No family Lean scope linked in this snapshot

Every four-dimensional Kakeya set has full Hausdorff dimension

Catalogue abstract · OpenAI [93]

We prove the four-dimensional Hausdorff-dimension Kakeya conjecture: every subset of ℝ4 containing a unit line segment in every direction has Hausdorff dimension four. No compactness or regularity assumption is imposed on the set or its witnessing line family.

1 companion / alternative paper — abstracts & PDFs

The Kakeya maximal conjecture in three dimensions

Catalogue abstract · OpenAI [92]

We prove the Kakeya maximal conjecture in three dimensions. For every ε > 0, the maximal average over unit tubes of radius δ maps $L^3(\mathbb R^3)$ to $L^3(S^2)$ with norm at most $C_\varepsilon\delta^{-\varepsilon}$.

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Family 090 · Visual statement

For a broad specified class of repulsive energies, the triangular arrangement beats every other planar arrangement at the same density. [4]

Keep the scope: Nonnegative completely monotone functions of squared distance, with the stated density/energy conventions—not every conceivable force law. Companion papers treat renormalized energies separately.

Convex and metric geometry · 4 manuscripts · Lean scope available ↗

Universal optimality of the triangular lattice

Catalogue abstract · OpenAI [95]

We prove universal energy minimality for the triangular lattice in the plane. Among locally finite configurations of centered density one, it minimizes the lower limit of centered-ball energy averages for every nonnegative completely monotone function of squared distance, including when the energy is infinite. We also prove triangular minimality for planar logarithmic and Riesz renormalized energies, with $0\lt s\lt 2$ in the Riesz case, and the corresponding jellium minima. The proof uses sharp Gaussian Fourier bounds, positive mixtures, and heat-kernel comparison.

3 companion / alternative papers — abstracts & PDFs

An atomic certificate for triangular-lattice universal optimality

Catalogue abstract · OpenAI [94]

We prove that the density-one triangular lattice minimizes the lower energy per particle for every nonnegative completely monotone function of squared distance, among all locally finite planar configurations of centered disk density one. The comparison includes infinite energies. The proof constructs sharp Gaussian Fourier minorants using an atomic interpolation certificate.

A sharp Fourier certificate for planar circle packing

Catalogue abstract · OpenAI [96]

We resolve the planar Cohn–Elkies sharpness conjecture: the two-point Fourier bound attains the optimal circle-packing density $\pi/(2\sqrt3)$. We construct a radial Schwartz certificate and prove its global sign conditions using rigorous interval arithmetic and analytic estimates. The same certificate recovers the classical uniqueness of the triangular packing among periodic equality cases.

Triangular minimality for planar Coulomb renormalized energy

Catalogue abstract · OpenAI [97]

We prove the Sandier–Serfaty conjecture: the triangular lattice of covolume one minimizes planar Coulomb renormalized energy over all admissible curl-free fields with a unit uniform background. Combined with Bétermin and Sandier's asymptotic formula, this also proves the Brauchart–Hardin–Saff conjecture for the linear term of optimal ordered-pair logarithmic energy on the unit two-sphere. The proof uses a direct Voronoi-cell comparison with rigorous interval arithmetic.

What the repository says is formalized [160]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalization proves that the density-one triangular lattice minimizes lower energy per particle among all locally finite planar configurations of centered-disk density one, for every nonnegative completely monotone function of squared distance. Infinite energies are allowed in the comparison.

It also constructs sharp radial Schwartz minorants for every Gaussian potential: each minorant lies below the Gaussian, has nonnegative real Fourier transform, agrees with the Gaussian at nonzero triangular-lattice points, and vanishes on nonzero dual-lattice points after Fourier transformation. For the stated parameter range, the formalization includes the explicit atomic interpolation construction.

The planar Cohn–Elkies sharpness conjecture asks whether the two-point Fourier method attains the optimal circle-packing density. The formalization constructs a radial Schwartz function $f$ on $\mathbb R^2$ with $\widehat f(0)=1$, $f(0)=2/\sqrt3$, $\widehat f$ real and nonnegative everywhere, and $f(x)\le0$ whenever $\|x\|\ge1$. These are the sharp Fourier certificate conditions yielding density $\pi/(2\sqrt3)$. The separate uniqueness statement for periodic equality cases is outside this selected theorem.

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Family 155 · Visual statement

A single finite tile can fill three-dimensional space by translation, yet has no fully periodic translational tiling. [4]

Keep the scope: Translations only; fully periodic means a full-rank lattice of periods. Do not replace that with the stronger claim that every tiling has no period at all.

Combinatorics · 1 manuscript · Lean scope available ↗

A translational tile with no fully periodic tiling in dimension three

Catalogue abstract · OpenAI [98]

We construct a finite translational tile in ℤ3 that admits tilings but no fully periodic tiling. Its unit-cube thickening has the same property in ℝ3, even when arbitrary real translations are allowed. This gives a negative resolution of the periodic tiling conjecture in dimension three.

What the repository says is formalized [161]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The periodic-tiling question asks whether a finite tile that tiles a lattice must admit a periodic tiling. The formalized counterexample is a finite tile in $\mathbb Z^3$ that tiles but has no complement invariant under a finite-index subgroup. Its unit-cube thickening also tiles $\mathbb R^3$ almost everywhere but admits no fully periodic tiling, even with arbitrary real translation vectors. The result also establishes that dimension three is the least lattice dimension where this failure occurs.

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Family 156 · Geometric statement

Some nine-dimensional bounded shapes cannot be covered by ten pieces each of smaller diameter. A very short question with a geometric counterexample. [4]

Keep the scope: Diameter measures the most distant pair, not volume. The example is a compact set, not necessarily a solid convex body.

Combinatorics · 1 manuscript · Lean scope available ↗

A nine-dimensional counterexample to Borsuk's covering assertion

Catalogue abstract · OpenAI [99]

The compact set of rank-one orthogonal projectors on ℝ4, with the Frobenius metric, cannot be covered by ten sets of strictly smaller diameter. It therefore gives a counterexample to Borsuk's conjecture in dimension nine.

What the repository says is formalized [162]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

Borsuk's conjecture predicts that every bounded subset of $\mathbb R^d$ can be covered by $d+1$ sets of strictly smaller diameter. The formalized counterexample is the compact set of rank-one orthogonal projectors onto lines in $\mathbb R^4$, with the Frobenius metric. It lies in the nine-dimensional affine space of trace-one symmetric matrices, has diameter $\sqrt2$, and cannot be covered by ten arbitrary sets of smaller diameter.

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Family 158 · Elementary / visual statement

Color every point of the plane so that points exactly one unit apart differ: five colors do not suffice; the remaining possibilities are six and seven. [4]

Keep the scope: Arbitrary color classes, not only measurable ones. This is the unit-distance graph of the whole plane, not the planar-graph four-color theorem.

Combinatorics · 1 manuscript · Lean scope available ↗

The Euclidean plane is not five-colorable

Catalogue abstract · OpenAI [100]

We prove that every coloring of the Euclidean plane with five colors has a monochromatic unit-distance pair, with no regularity assumption on the color classes. Consequently, the chromatic number of the plane is either six or seven.

What the repository says is formalized [163]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The Hadwiger–Nelson problem asks for the fewest colors needed to color the plane so that points at distance one have different colors. The formalized results prove that five colors do not suffice and that seven colors do suffice. The lower bound applies to arbitrary colorings, with no measurability or continuity assumption; the upper bound includes every boundary point of the coloring regions.

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Family 159 · Calculus-level statement

If the reciprocals of a set of positive integers have divergent sum, that set contains arbitrarily long equally spaced finite sequences. [4]

Keep the scope: Every finite length, not one infinite arithmetic progression. Lean covers this consequence, not the paper's quantitative progression-free bound.

Combinatorics · 1 manuscript · Lean scope available ↗

Quasipolynomial Bounds for Arithmetic Progressions

Catalogue abstract · OpenAI [101]

We prove Erdős's conjecture that every set of positive integers with divergent reciprocal sum contains arithmetic progressions of every finite length. More quantitatively, for every fixed k ≥ 3, we show

$\displaystyle r_k(N)\le C_kN\exp\bigl(-c_k(\log N)^{\varepsilon_k}\bigr)$

with $C_k,c_k,\varepsilon_k\gt 0$, where $r_k(N)$ is the largest size of a subset of $\{1,\ldots,N\}$ with no nonconstant k-term arithmetic progression.

What the repository says is formalized [164]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

Erdős's reciprocal-sum conjecture asks whether every set of positive integers with divergent reciprocal sum contains arithmetic progressions of every finite length. The formalization proves this statement: for every requested length, such a set contains a progression with positive common difference.

The selected theorem is the reciprocal-sum consequence. The paper's quantitative upper bound for the largest progression-free subset of $\{1,\ldots,N\}$ is outside this statement.

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Family 164 · Elementary statement

However you finitely color the positive integers, you can find a set of any requested finite size whose nonempty subset sums and products all share one color. [4]

Keep the scope: Arbitrarily large finite sets, not a single infinite set with all the same properties.

Combinatorics · 1 manuscript · No family Lean scope linked in this snapshot

Monochromatic finite sums and products in the positive integers

Catalogue abstract · OpenAI [102]

We prove Hindman's finite sums and products conjecture: for every finite coloring of the positive integers and every positive integer k, there is a k-element set whose nonempty subset sums and nonempty subset products all have the same color.

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Family 165 · Visual statement

Exactly how many crossings must remain when drawing all connections between n points—or between two groups of points? Both classical formulas are claimed. [4]

Keep the scope: Ordinary topological crossing number with continuous edge arcs, not necessarily straight-line drawings.

Combinatorics · 2 manuscripts · Lean scope available ↗

The crossing number of complete graphs

Catalogue abstract · OpenAI [103]

We prove the Harary–Hill conjecture: for every positive integer n, the ordinary crossing number of the complete graph Kn is

$\displaystyle \frac14\left\lfloor\frac n2\right\rfloor \left\lfloor\frac{n-1}{2}\right\rfloor \left\lfloor\frac{n-2}{2}\right\rfloor \left\lfloor\frac{n-3}{2}\right\rfloor.$

1 companion / alternative paper — abstracts & PDFs

The crossing number of complete bipartite graphs

Catalogue abstract · OpenAI [104]

We prove the Zarankiewicz crossing-number conjecture, resolving Turán's brickyard problem. For all positive integers m, n, the ordinary crossing number of the complete bipartite graph $K_{m,n}$ is

$\displaystyle \left\lfloor\frac m2\right\rfloor \left\lfloor\frac{m-1}{2}\right\rfloor \left\lfloor\frac n2\right\rfloor \left\lfloor\frac{n-1}{2}\right\rfloor.$

What the repository says is formalized [165]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalized result proves Hill's proposed formula for the crossing number of the complete graph: for every $n\ge3$, $\mathrm{cr}(K_n)=\frac14\lfloor n/2\rfloor\lfloor(n-1)/2\rfloor\lfloor(n-2)/2\rfloor\lfloor(n-3)/2\rfloor$. It proves the lower bound and constructs a matching two-page drawing. Crossings are spatial points, so repeated crossings of one edge pair count separately.

Zarankiewicz's crossing-number conjecture predicts $\mathrm{cr}(K_{m,n})=\lfloor m/2\rfloor\lfloor(m-1)/2\rfloor\lfloor n/2\rfloor\lfloor(n-1)/2\rfloor$. The formalized result proves this equality for every positive $m,n$ and constructs a drawing attaining it. Crossings are counted as spatial points for continuous simple edge paths, including repeated crossings between the same pair of edges.

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Family 173 · Elementary statement

Every finite directed graph without loops or opposite edge pairs has some vertex with at least as many distinct second-step neighbors as immediate neighbors. [4]

Keep the scope: Directed distance exactly two: exclude the vertex and its first neighbors. Do not count paths with multiplicity; sinks are allowed.

Combinatorics · 1 manuscript · Lean scope available ↗

A proof of Seymour’s second-neighborhood conjecture

Catalogue abstract · OpenAI [105]

We prove that every nonempty finite oriented graph has a vertex with at least as many vertices at directed distance two as at directed distance one. This resolves Seymour's second neighborhood conjecture positively.

What the repository says is formalized [166]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

Seymour's second-neighborhood conjecture asserts that every nonempty finite oriented graph has a vertex with at least as many second out-neighbors as first out-neighbors. The formalized result proves this assertion, where the second neighborhood consists of vertices at directed distance exactly two. The initial vertex and first neighbors are excluded from that count, and sinks are included.

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Family 187 · Recreational statement

On an empty square grid, Maker can force the six-cell Snaky shape within 21 of its own moves despite an adversary claiming a cell between turns. [4]

Keep the scope: Maker–Breaker play, with only Maker seeking the shape. Not the strong game where both players seek it; 21 is an upper bound, not a proved optimum.

Combinatorics · 1 manuscript · Lean scope available ↗

Snaky in 21 Maker moves

Catalogue abstract · OpenAI [106]

We prove that Maker can achieve the Snaky hexomino within 21 actual Maker moves against arbitrary legal Breaker play on the initially empty infinite square board. The same bound holds on a $17\times17$ square; in fact, Maker can confine its claims to a fixed 251-cell board.

What the repository says is formalized [167]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

In the Snaky Maker–Breaker game, the players alternately claim cells of $\mathbb Z^2$, and Maker seeks a translated, rotated, or reflected copy of the six-cell Snaky shape. The formalization gives a legal strategy that wins within $21$ actual Maker moves against every legal Breaker play from the empty infinite board. The selected theorem checks disjointness and the move counts throughout play; it does not impose the paper's smaller finite-board restriction.

The linked supplements reconstruct the older $35$-move appendix's finite recursive certificate and prove four conditional winning templates from partial positions, assuming the required Maker cells are present and Breaker avoids the corresponding finite envelope.

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Family 238 · Probability statement

A specific shuffle randomizes the entire permutation of a power-of-two deck in a number of physical shuffles proportional to log(deck size). [4]

Keep the scope: The Thorp shuffle, not ordinary riffle shuffling. Constants vary across companion proofs; the result is asymptotic mixing order, not a practical shuffle count for a standard deck.

Probability and statistical mechanics · 12 manuscripts · Lean scope available ↗

Optimal-order mixing of the Thorp shuffle

Catalogue abstract · OpenAI [107]

We prove that the Thorp shuffle on $2^d$ cards mixes in $\Theta(d)$ complete shuffles. The full permutation law after $1600d$ shuffles converges to uniform in total variation as $d\to\infty$, uniformly over the initial deck, while a support count gives a lower bound of $2d-O(1)$.

11 companion / alternative papers — abstracts & PDFs

Random coordinate frames and partial permutation laws

Catalogue abstract · OpenAI [108]

For the Thorp shuffle on $2^d$ cards, we prove that the worst-start total-variation distance after $32800d$ physical shuffles tends to zero as $d\to\infty$. Combining our fixed-list estimate with the companion Fourier transfer improves this bound to $512d$ shuffles. These results follow from bounds on partially observed permutation laws in random coordinate frames.

From partial permutation information to Fourier bounds

Catalogue abstract · OpenAI [109]

We show how information about partial permutations controls full permutation laws. Let n tend to infinity through multiples of eight. If the images of a uniformly chosen $7n/8$ labels approach the uniform injection law in average total variation, and the sign mean tends to zero, then the product of two independent permutations with the given law converges to uniform on Sn.

Conditional information under deterministic coordinate sweeps

Catalogue abstract · OpenAI [110]

We bound the information remaining after paths of specified cards in the Thorp shuffle on $n=2^d$ cards have been observed. After a fixed number of deterministic coordinate sweeps, the joint endpoint law of further cards is close to uniform on the available positions, on average over the observed paths, provided a fixed positive fraction of labels lies outside both lists. Combined with a Fourier transfer, these bounds give full-deck mixing after $2048d$ physical shuffles.

Conditional permutations in a revealed switching environment

Catalogue abstract · OpenAI [111]

Fix half the labels in a Thorp shuffle on $2^d$ positions and reveal their complete trajectories. We prove that, after an explicit absolute number of coordinate sweeps, the conditional permutation of the remaining labels approaches uniform in expected total variation as $d\to\infty$, uniformly in the initial layout. The resulting constructions give full-deck mixing in a constant multiple of d physical shuffles.

Routing densities and representation contraction for Thorp sweeps

Catalogue abstract · OpenAI [112]

For $N=2^d$ cards, we prove that an absolute number of coordinate sweeps of the Thorp shuffle brings the full permutation law to total-variation distance tending to zero from uniform. The mixing time therefore has optimal order $\Theta(\log N)$ in physical shuffles.

Row–column symmetry and contraction of coordinate sweeps

Catalogue abstract · OpenAI [113]

We prove that the Thorp shuffle on $N=2^d$ labeled cards has full-permutation total-variation mixing time $\Theta(\log N)$ in physical shuffles. An absolute number of coordinate sweeps suffices for the upper bound.

Random-subspace tests and trace smoothing for coordinate sweeps

Catalogue abstract · OpenAI [114]

We prove that an absolute number of coordinate sweeps of the Thorp shuffle on $n=2^d$ positions brings the full permutation to total-variation distance at most $\frac12n^{-5}$ from uniform, uniformly over the initial deck. Thus $O(d)$ physical shuffles suffice, which is optimal in order.

Compatibility entropy and the spectrum of a Thorp sweep

Catalogue abstract · OpenAI [115]

We prove that the Thorp shuffle on $n=2^d$ cards mixes in $\Theta(d)$ physical shuffles. After a sufficiently large fixed number of coordinate sweeps, the total-variation distance of the full permutation from uniform tends to zero as $d\to\infty$.

Signed tensor densities and diagram budgets for the Thorp shuffle

Catalogue abstract · OpenAI [116]

We prove that a fixed number of coordinate sweeps of the Thorp shuffle on $2^d$ cards makes the squared L2 distance of the full permutation density from uniform tend to zero as $d\to\infty$. In particular, the total-variation mixing time is $\Theta(d)$ physical shuffles.

Conditional coordinate sweeps and analytic transfer

Catalogue abstract · OpenAI [117]

For coordinate sweeps with near-uniform line laws and line sizes among powers of two in a suitable fixed interval, we prove a Schatten-moment bound after conditioning on any feasible collection of prescribed card trajectories. An analytic transfer to binary sweeps then shows that a fixed number of sweeps mixes the Thorp shuffle on $2^d$ cards in $O(d)$ physical steps, matching the order of the support lower bound.

A strict four-row permanent inequality and permutation moments

Catalogue abstract · OpenAI [118]

We prove a permanent inequality with exponent strictly below two for laws on S4 sufficiently close to uniform and with exactly uniform coordinate marginals. Applied to a four-row recursion, it shows that an absolute number of coordinate sweeps brings the full permutation of the Thorp shuffle on $N=2^d$ cards to total-variation distance tending to zero from uniform as $N\to\infty$. Thus the mixing time has the optimal order $O(\log N)$ in physical shuffles.

What the repository says is formalized [168]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The formalization proves optimal-order mixing of the Thorp shuffle on $2^d$ cards. After $1600d$ complete shuffles, the full permutation law converges in total variation to uniform as $d\to\infty$, uniformly over initial decks. Together with the support lower bound of $2d-O(1)$, this gives mixing time $\Theta(d)=\Theta(\log(2^d))$.

The linked supporting results include frame and conditional-list estimates, regular trace and spectral bounds, signed moments, and full-density $L^2$ control. They also bound reciprocal Specht-dimension sums and give the eight-block Fourier estimate used in the mixing argument.

The formalized supporting result turns bounds on partial-permutation cosets into Fourier bounds. Partition a finite set into $b\ge1$ nonempty blocks, and let $f\ge0$ be a subprobability weight on its symmetric group whose left-coset masses for each block subgroup are at most $B$. For every irreducible unitary representation of dimension $D$ and every $u>0$, both the squared Hilbert–Schmidt norm and squared operator norm of its Fourier transform are at most $bB\,C(u)D^{-1+(u+2)/b}$, where $C(u)$ is the stated symmetric-group degree constant.

The paper's asymptotic conclusion about the product of two random permutations is outside this selected finite estimate.

The formalized results give averaged conditional mixing for half-permutations in the revealed-path model and full-deck mixing for the Thorp shuffle. In particular, the full-deck total-variation distance tends to zero after $16040400d$ steps on $2^d$ cards, uniformly over deterministic initial decks. The conditional estimate is averaged over the actual outside-path law, rather than asserted for each individual environment. The formalization also includes the associated overlay, reset minorization, and two-color conditional constructions.

The formalization covers nine routing and representation estimates for Thorp sweeps: adaptive operator and fourth-trace bounds, Casimir moments, dense truncation, sparse contact, harmonic-cycle contraction, smoothing, and three tail or sparse-saving estimates. They bound routing-density deviations and Fourier operators in dense and sparse regimes, including exponential savings in the level scale and representation dimension.

The conditional high-height estimate requires a sufficiently large cutoff height $J$ that exceeds twice the number $s$ of coordinates in the fixed low block, so $J>2s$. These are the earlier nine statements associated with the paper; its changed later statements and six other result blocks are outside this scope.

The formalization proves uniform representation bounds for one coordinate sweep of the Thorp shuffle. For each irreducible representation of dimension $D$, it chooses a weight between $D^{3/4}$ and $D$ and a Schatten exponent bounded by one absolute constant so that the weighted Schatten moment is at most one. The sweep's operator norm is consequently at most $D^{-c}$ for one absolute $c>0$.

The supporting row–column estimate bounds the total squared overlap over all multiplicity copies on an occupied board, with explicit dependence on the row and column representation dimensions, the global dimension, the number of missing cells, and the number of rows or columns containing the global Young diagram. The paper's full physical-mixing conclusion is outside these selected representation estimates.

The formalization proves a uniform trace-smoothing estimate for coordinate sweeps of the Thorp shuffle on $2^d$ cards. One absolute sweep parameter works for every $d\ge1$: the regular trace is at most $1+(2^d)^{-10}$, and the full permutation law after the corresponding fixed number of sweeps is within $\tfrac12(2^d)^{-5}$ of uniform in total variation, for every initial deck. Thus the selected upper bound uses $O(d)$ physical shuffles.

The formalized result is the weighted compatibility theorem for balanced $A\times D$ rectangles, with $n=AD$ and $\sqrt n/2\le A,D\le2\sqrt n$. For arbitrary nonnegative weights on the row and column permutation groups, the normalized compatibility average is bounded by $\exp(C_0n^{54/100})$ times the product of the marginal $L^{1/\theta}$ factors, where $\theta=1-L/\log\sqrt n>0$ and the constants are absolute. Compatibility means injectivity in every original column. The bounded regular-moment and other moment/rank conclusions are not included.

The formalization gives signed representation estimates for coordinate sweeps of the Thorp shuffle. For every signed occurrence of a Young diagram of size $2^d$, it bounds the logarithm of a fixed-order weighted sweep moment by a small multiple of the signed partition entropy plus an explicit remainder-size budget. The moment order is uniform over the diagrams and decompositions after the two small coefficients are fixed.

The linked supporting angle bound controls the overlap of row, column, and global signed-type projections on an occupied rectangle, with explicit entropy, dimension, and missing-cell factors. These selected estimates support the paper's full-density argument; the full $L^2$ and total-variation mixing conclusion is outside them.

The formalized binary-sweep theorem gives a universal power contraction in every irreducible representation: for sufficiently large $d$, the averaged sweep on $2^d$ slots has operator norm at most $D^{-g}$ in representation dimension $D$, for some $g>0$. The sign expectation is zero, and a fixed number of independent sweeps approaches uniform in total variation from every initial deck. A separate conditional moment estimate covers allowed power-of-two grids and disjoint coordinate-respecting trajectories, with its stated feasibility premise. Physical-shuffle law identification is not included.

The formalization proves the paper's strict four-row permanent inequality. There are constants $4/30$ such that every probability law on $S_4$ within total-variation distance $\varepsilon$ of uniform, and with exactly uniform coordinate marginals, satisfies the permanent bound by the product of the four $L^p$ row norms for every nonnegative matrix. The exponent and neighborhood are uniform over those laws. The Thorp mixing consequence is outside this selected statement.

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Family 322 · Undergraduate analysis

If a distance-preserving bijection identifies two normed spaces' unit spheres, it extends uniquely to a real-linear isometry of the entire Banach spaces. [4]

Keep the scope: Some undergraduate analysis is needed. The conclusion is real-linear; even for complex spaces it is not necessarily complex-linear.

Functional analysis · 1 manuscript · Lean scope available ↗

A positive solution to Tingley’s problem

Catalogue abstract · OpenAI [119]

Every surjective isometry between the unit spheres of real Banach spaces extends uniquely to a surjective real-linear isometry, giving an affirmative solution to Tingley's problem. If distances between different radii are not preserved, we realize the positive maximal defect in a possibly enlarged pair of Banach spaces. We then align extremal chords using common supports and Darbo's fixed-point theorem and obtain a contradiction from support and convexity estimates.

What the repository says is formalized [169]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

Tingley's problem asks whether a surjective isometry between the unit spheres of Banach spaces extends to a linear isometry of the spaces. The formalized result gives a unique surjective real-linear isometric extension for arbitrary nonzero real Banach spaces, with no finite-dimensionality, separability, reflexivity, or convexity assumptions. For complex spaces viewed as real spaces, the conclusion is real linearity rather than complex linearity.

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Family 369 · PDE intuition

The slowest nonconstant Neumann mode on a smooth bounded simply connected planar region has its extrema on the boundary—an exact version of the hot-spots picture. [4]

Keep the scope: A statement about first positive Neumann eigenfunctions, not arbitrary temperatures at every time. Smoothness and simple connectedness matter; the theorem also excludes interior critical points.

Partial differential equations · 1 manuscript · Lean scope available ↗

Strict hot spots and absence of interior critical points on smooth simply connected planar domains

Catalogue abstract · OpenAI [120]

We prove the strict hot spots conjecture for smooth bounded simply connected planar domains. More precisely, every nonzero eigenfunction for the first positive Neumann eigenvalue has nonvanishing gradient in the interior, so all its global maxima and minima lie on the boundary. This holds even when the eigenvalue is multiple.

What the repository says is formalized [170]

Verbatim scope note; a report of repository coverage, not a build or proof audit performed for this page.

The strict hot-spots conjecture asks whether extrema of a first nonconstant Neumann eigenfunction occur only on the boundary. The formalization proves the stronger interior statement on every nonempty smooth bounded simply connected planar domain: every nonzero eigenfunction in the first positive Neumann eigenspace has nonvanishing gradient throughout the interior. Consequently all global maxima and minima lie on the boundary. The conclusion applies to every eigenfunction even when the eigenvalue is multiple.

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What was selected—and what was checked

Sources and numbered references
  1. OpenAI release announcement — 6 October 2026
  2. Repository README and verification caveat
  3. Complete family overview
  4. Manuscript map and catalogue abstracts
  5. Formalization catalogue
  6. Weak and strong normalization in pure type systems
  7. Turn-Based Stochastic Mean-Payoff Games in Deterministic Quasipolynomial Time
  8. Mean-payoff parity games in quasipolynomial time
  9. Deterministic quasipolynomial-time mean-payoff games
  10. Randomized quasipolynomial-time mean-payoff games
  11. An exponential state lower bound for two-way nondeterministic complementation
  12. An exponential two-way deterministic state lower bound for one-way liveness
  13. Finite Monoid Computations and a Uniform Generalized Star-Height Bound
  14. Generalized Star Height at Most Four
  15. Generalized Star Height at Most Three
  16. Existential–universal real sentences in the counting hierarchy
  17. Hilbert’s tenth problem over the rational numbers
  18. A pointwise 2-converse for elliptic curves with rational two-torsion
  19. Single-fold Diophantine representations
  20. Choiceless polynomial time with counting does not capture polynomial time
  21. Witnessed symmetric choice is strictly stronger than choiceless polynomial time with counting
  22. Rigidity of the Turing degrees
  23. Parity lifts and bounded-treewidth witnesses for Weisfeiler–Leman equivalence
  24. The complexity of identifying a graph by Weisfeiler–Leman refinement
  25. Unconditional time lower bounds for Weisfeiler–Leman equivalence
  26. Variable-dimension Weisfeiler–Leman equivalence on general and subcubic graphs
  27. Exact derandomization of logarithmic space: L = RL = BPL
  28. Simulating One-Tape Time in Two-Fifths-Power Space
  29. Uniform Matrix Hitting Points in Every Positive Characteristic
  30. One Rational Matrix Hitting Point for Noncommutative Formulas
  31. Polynomial Hitting Lists for Noncommutative Rational Formulas
  32. A Polynomial-Time Algorithm for Three-Machine Unit-Job Scheduling
  33. A Limiting Satisfiability Threshold for Every Fixed Clause Size
  34. Linear Variance of the Random 3-SAT Hitting Time
  35. Variance of the Random k-SAT Hitting Time
  36. Computing the Random 3-SAT Threshold
  37. Finite congruence lattices: characterization and undecidability
  38. A negative solution to the finite lattice representation problem
  39. The Grothendieck homotopy hypothesis via elementary expansions
  40. Thomason Model Structures in Every Strict Higher Dimension
  41. Finite Instructions and Solenoidal Shear Flows
  42. A Fixed Particle Test for Computation in a Forced Viscous Flow
  43. Universal Computation with Eventually Stationary Navier–Stokes Forcing
  44. Geometric Programs for Solenoidal Forcing
  45. Prefix Instructions and Incompressible Flows
  46. Computation under Rapidly Vanishing Navier–Stokes Forcing
  47. Velocity-Field Detection of Computation in Forced Navier–Stokes Flows
  48. Scalar Potentials and Slow Clocks for Forced Fluid Computation
  49. Incompressible Box Transport and Finite Computation
  50. A CH obstruction to a prescribed categoricity threshold
  51. Eventual categoricity for abstract elementary classes
  52. The Partition Principle does not imply Choice
  53. The Unique Games Theorem
  54. A Direct Proof of Optimal Max-Cut Hardness
  55. The Factor-Two Hardness Threshold for Vertex Cover
  56. Constant-factor hardness of Min-UnCut
  57. Constant-factor hardness of directed feedback vertex set
  58. Perfect completeness for 2-to-1 games
  59. Hardness of finding large independent sets in three-colorable graphs
  60. An Upper Bound of 9/4 for the Matrix Multiplication Exponent
  61. Complex Matrix Multiplication Below 2.258 and Rectangular Bounds
  62. Staggered extraction for exact matrix multiplication over every field
  63. A cubic lower bound for border determinantal complexity of the permanent
  64. Integer multiplication below n log n
  65. Beyond the Square-Root Exponent for Depth-Three Boolean Circuits
  66. A Fully Polynomial Randomized Approximation Scheme for Perfect Matchings in General Graphs
  67. Entropy and Face Dimension of the Perfect-Matching Polytope
  68. Additive hardness and unbounded configuration gaps in bin packing
  69. Sharp binary-information contraction on the discrete cube
  70. Hellinger contraction with arbitrary Boolean output bias
  71. Almost-Linear-Time Maximum-Cardinality Matching in General Graphs
  72. An Almost-Linear Approximation Scheme for Edit Distance
  73. A Polynomial-Time 2-Approximation for Shortest Common Superstring
  74. An explicit power saving for the exact discrete Fourier transform
  75. Finite tensor savings and exact Fourier circuits
  76. A superquadratic separation between sensitivity and block sensitivity
  77. The PCP-for-PPAD conjecture: a quasilinear reduction
  78. Subset Sum in Time $O(2^{0.49n})$
  79. A Low-Space Algorithm for Worst-Case Subset Sum
  80. Deterministic Polynomial Factorization over Prime Fields
  81. Product-projection localization and the QAC0 parity lower bound
  82. Regular trajectories, pruning and quantum parity
  83. Exact quantum factoring over a fixed finite gate set
  84. A Nearly Quartic Separation Between Randomized and Quantum Query Complexity
  85. Catalan's constant is irrational
  86. The joint Dickman law for consecutive integers
  87. The additive indecomposability of the primes
  88. The irrationality exponent of pi is 2
  89. A quadratic bound for Jacobsthal's function
  90. Short Egyptian fractions
  91. Bounded-Step Walks on Gaussian Primes
  92. The Kakeya maximal conjecture in three dimensions
  93. Every four-dimensional Kakeya set has full Hausdorff dimension
  94. An atomic certificate for triangular-lattice universal optimality
  95. Universal optimality of the triangular lattice
  96. A sharp Fourier certificate for planar circle packing
  97. Triangular minimality for planar Coulomb renormalized energy
  98. A translational tile with no fully periodic tiling in dimension three
  99. A nine-dimensional counterexample to Borsuk's covering assertion
  100. The Euclidean plane is not five-colorable
  101. Quasipolynomial Bounds for Arithmetic Progressions
  102. Monochromatic finite sums and products in the positive integers
  103. The crossing number of complete graphs
  104. The crossing number of complete bipartite graphs
  105. A proof of Seymour’s second-neighborhood conjecture
  106. Snaky in 21 Maker moves
  107. Optimal-order mixing of the Thorp shuffle
  108. Random coordinate frames and partial permutation laws
  109. From partial permutation information to Fourier bounds
  110. Conditional information under deterministic coordinate sweeps
  111. Conditional permutations in a revealed switching environment
  112. Routing densities and representation contraction for Thorp sweeps
  113. Row–column symmetry and contraction of coordinate sweeps
  114. Random-subspace tests and trace smoothing for coordinate sweeps
  115. Compatibility entropy and the spectrum of a Thorp sweep
  116. Signed tensor densities and diagram budgets for the Thorp shuffle
  117. Conditional coordinate sweeps and analytic transfer
  118. A strict four-row permanent inequality and permutation moments
  119. A positive solution to Tingley’s problem
  120. Strict hot spots and absence of interior critical points on smooth simply connected planar domains
  121. Formalization scope · family 245
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