{
  "counts": {
    "adjacent": 15,
    "core": 4,
    "errors": 0,
    "negative": 68,
    "total": 87
  },
  "date": "2026-08-24",
  "errors": [],
  "fresh_content_days": 21,
  "generated_at": "2026-08-24T16:04:56Z",
  "items": [
    {
      "age_days": 9,
      "arxiv_id": "2608.15432",
      "authors": [
        "Tadd Mao",
        "Tianjun Zhong",
        "Dhruva Arekar",
        "Yuming Feng",
        "One An",
        "Jiani Huang",
        "Xujie Si",
        "Ziyang Li"
      ],
      "content_date": "2026-08-15",
      "freshness": "fresh",
      "id": "arxiv:2608.15432",
      "kind": "paper",
      "label": "core",
      "matched_signals": [
        "autoformalization",
        "lean_formal_proving_agents",
        "verifier_guided_reasoning"
      ],
      "published": "2026-08-15",
      "score": 12.5,
      "source": "arxiv-ai4math-core",
      "summary": "In formal verification, both the autoformalization of statements and automated proof search have been studied extensively. While automated proof search can produce a formal proof that compiles, the generated proof does not necessarily reflect how the natural-language argument arrives at its conclusion--a property we refer to as faithfulness. With faithfully formalized proofs, one can check the reasoning behind a human- or AI-written argument, and assist mathematicians in formalizing their proof sketches. However, it is particularly challenging due to misalignment of formal proof tactics and natural language reasoning. In this work, we rigorously describe a set of five necessary conditions a faithful formal proof must satisfy, and introduce Pistis, an agentic, oracle-guided proof search that produces formal Lean proofs that satisfy them. At its core is a novel faithfulness-preserving divide-and-conquer search, which we name OrderDecompose, that tracks citation dependencies and blocks unfaithful shortcuts, paired with a refutation search, that surfaces gaps and errors in the natural language proof source. OrderDecompose completes proofs that baselines cannot close even within a 12-hour budget, and its artifacts compile over 33$\\times$ as fast as prior work's. We apply Pistis on the first three books of Euclid's Elements, producing high-quality artifacts containing faithful formal proofs. Under a blinded human study and an LLM-as-a-judge protocol on rigorous rubrics, Pistis-generated proofs are favored over prior works--2.89$\\times$ and 5.2$\\times$ as often by human reviewers and the LLM judge, respectively. It further uncovers gaps in Euclid's proofs and their translation, and can accept or refute natural language proofs written by humans or AI, demonstrating that faithful formalization is useful as a proof-checking tool.",
      "title": "Does the Proof Prove It That Way? Faithful Formalization of Elements Proofs",
      "updated": "2026-08-15",
      "url": "https://arxiv.org/abs/2608.15432"
    },
    {
      "age_days": 3,
      "arxiv_id": "2608.20793",
      "authors": [
        "Sihai Jin"
      ],
      "content_date": "2026-08-21",
      "freshness": "fresh",
      "id": "arxiv:2608.20793",
      "kind": "paper",
      "label": "core",
      "matched_signals": [
        "lean_formal_proving_agents",
        "verifier_guided_reasoning"
      ],
      "published": "2026-08-21",
      "score": 6.5,
      "source": "arxiv-ai4math-core",
      "summary": "We report a Lean 4 formal verification accompanying the paper \"Subregular Affine Cells and the Level -1 Vertex Algebra of Type D\" (arXiv:2608.11997). The formalization kernel-checks substantial internal parts of the proof architecture, including the Section 4 membership/descent chain, the type-D norm-gap argument, zero-orbit energy and signed-permutation rigidity, node-weight and numerical rigidity calculations, the exhaustion logic, the passage to the candidate quotient classification, the simple-object count, the final additive Grothendieck-group comparison, and the coefficient-substitution layer of the uniform character formula. Higher representation-theoretic results whose foundational infrastructure is not presently constructed in the file are isolated as explicit semantic interfaces rather than introduced as Lean axioms. Thus the precise claim is a kernel-checked internal deduction from explicit representation-theoretic boundary inputs, not a from-scratch formalization of vertex algebras, BRST reduction, finite W-algebras, or affine Hecke theory inside Mathlib.",
      "title": "A Lean 4 Verification Report for Subregular Affine Cells and the Level $-1$ Vertex Algebra of Type $D$",
      "updated": "2026-08-21",
      "url": "https://arxiv.org/abs/2608.20793"
    },
    {
      "age_days": 4,
      "arxiv_id": "2608.20432",
      "authors": [
        "Shane Caldwell"
      ],
      "content_date": "2026-08-20",
      "freshness": "fresh",
      "id": "arxiv:2608.20432",
      "kind": "paper",
      "label": "core",
      "matched_signals": [
        "lean_formal_proving_agents"
      ],
      "published": "2026-08-20",
      "score": 6.5,
      "source": "arxiv-ai4math-core",
      "summary": "Formal proofs in Lean 4 that pass the kernel's type checker can nonetheless vary widely in quality. We introduce ProofJudge, an agentic LLM-as-judge system that scores formal proof quality along five dimensions beyond correctness: library leverage, automation fit, structural clarity, statement quality, and Mathlib conventions. We evaluate ProofJudge on a novel dataset of 218 declarations drawn from distinct Mathlib PRs. The judge agent is grounded by tool access to the commit the PR is applied to, enabling it to query the library state when scoring. A judge is considered aligned with human preferences when it rates the version of the PR Mathlib accepted above the initial version that was sent back for revision. All six judge models evaluated recover the reviewers' preference well above chance, from 80.8% to 63.5%, and two open-weight judges reach roughly 70% at a tenth of the best judge's cost. We release the judge harness, evaluation dataset, and evaluation traces as open-source artifacts to support further research.",
      "title": "ProofJudge: Tool-Grounded LLM Evaluation of Formal Proof Quality in Mathlib",
      "updated": "2026-08-20",
      "url": "https://arxiv.org/abs/2608.20432"
    },
    {
      "age_days": 5,
      "arxiv_id": "2608.19009",
      "authors": [
        "Yajie Yin"
      ],
      "content_date": "2026-08-19",
      "freshness": "fresh",
      "id": "arxiv:2608.19009",
      "kind": "paper",
      "label": "core",
      "matched_signals": [
        "lean_formal_proving_agents",
        "verifier_guided_reasoning"
      ],
      "published": "2026-08-19",
      "score": 6.5,
      "source": "arxiv-ai4math-core",
      "summary": "Large language models (LLMs) are increasingly paired with verifiers (step checkers, self-consistency filters, tool-based fact checkers, formal proof assistants) that claim to detect the model's errors. Yet the verification literature uses the word \"level\" to mean at least five different things: verification granularity, concept abstraction, risk tier, system-stack layer, and the epistemic source of the ground truth. We propose Verification Autonomy Levels (VAL), a meta-standard that classifies any verification scheme along a single axis: where does the verification spec come from, and what does the verdict guarantee? VAL ranges from L0 (LLM self-declaration; no deterministic anchor) through L2 (objective ground truth; correctness only) to L3/L4 (decidable systems with single-property or domain-level completeness), with L5 impossible in the unrestricted case. Central to VAL is the completeness blind spot: substitution- and sampling-based verifiers can confirm that proposed candidates hold, but cannot prove that no candidate was missed. We further identify a dichotomy the literature has not stated: completeness is reachable only for formally specifiable properties, whereas empirical open-world verification (fact-checking, diagnosis) caps at anchored correctness (L2). We document this gap empirically across four domains (symbolic mathematics, behavior monitoring, medical diagnosis, and code generation, the last a reverse validation with predictions stated before evidence) and in the strongest formal-verification baseline in our survey, whose authors note the verifier focuses on the correctness of each step. We show the levels of granularity, concept hierarchy, risk, and system stack are orthogonal to VAL, resolving a systematic conflation across 17 surveyed papers. Code and full assessment are released as supplementary material.",
      "title": "Grading the Graders: Verification Autonomy Levels (L0-L5) for LLM Reasoning",
      "updated": "2026-08-20",
      "url": "https://arxiv.org/abs/2608.19009"
    },
    {
      "age_days": 5,
      "arxiv_id": "2608.19093",
      "authors": [
        "Mengwei Su",
        "Kaiwen Yang",
        "Hao Xu",
        "Chih-Lin I"
      ],
      "content_date": "2026-08-19",
      "freshness": "fresh",
      "id": "arxiv:2608.19093",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "general_ai_math_reasoning",
        "lean_formal_proving_agents"
      ],
      "published": "2026-08-19",
      "score": 4.9,
      "source": "arxiv-ai4math-core",
      "summary": "Among $n+1$ equiprobable equal-energy signals in $\\R^n$ under additive white Gaussian noise with maximum-likelihood decoding, which arrangement maximizes the probability of correct decoding? The question is Shannon's, recorded by Rice in 1950. Mulgund proved in 2026 that the regular-simplex value bounds the correct-decoding probability of every signal set at every signal-to-noise ratio, leaving open whether the simplex is the only maximizer. This paper determines the equality cases in a form stronger than uniqueness. A signal set other than a regular simplex falls strictly below the bound at every positive signal-to-noise ratio. Hence a code meeting the bound at one positive operating point is already a regular simplex, up to vertex relabeling and an orthogonal map. In probabilistic form, among the correlation matrices that signal sets induce, any matrix other than the identity gives a lower-orthant probability strictly above its independent counterpart at every finite threshold, leaving no room for a nontrivial equality. No code of ambient dimension below $n$ attains the bound. Under an energy budget $E$ with unrestricted blocklength the optimal codebook is uniquely the regular simplex of circumradius $\\sqrt{E}$. Every optimal codeword therefore exhausts its allowance. Equality in the Simplex Mean Width Conjecture likewise occurs only at the regular simplex. The proof strengthens the first self-convolution step of Mulgund's argument with Royen's correlation theorem. The single-parameter rigidity is machine-checked in Lean 4.",
      "title": "The Equality Cases of the Weak Simplex Conjecture",
      "updated": "2026-08-19",
      "url": "https://arxiv.org/abs/2608.19093"
    },
    {
      "age_days": 3,
      "arxiv_id": "2608.21356",
      "authors": [
        "Jason Hickey"
      ],
      "content_date": "2026-08-21",
      "freshness": "fresh",
      "id": "arxiv:2608.21356",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "lean_formal_proving_agents"
      ],
      "published": "2026-08-21",
      "score": 3.5,
      "source": "arxiv-ai4math-core",
      "summary": "For sixty years, machine verification has been a major cost overhead, affordable only for exceptional artifacts. Here we report that generative AI inverts this relationship: at AI speed, machine verification is not only economical but essential to productivity --- it is the incorruptible referee that lets one person safely direct autonomous machine work at scale. In five weeks, one researcher on consumer AI subscriptions directed a small fleet of AI agents from application code, through a verified compiler and executive, to a RISC-V processor taped out on a community silicon shuttle; no proof passed through human review, and no RTL was written by a human. The working discipline --- the Salt method --- rests on a proof kernel no hallucinated proof can pass: mathematical claims travel between agents as kernel-checked artifacts, and human attention is reserved for statements, designs, and rulings. Verification is stated link by link, from the Lean 4 kernel to SAT-checked equivalence at the silicon boundary. We publish the complete accounting: theorem provenance, a pre-registered token meter, floor-bounded human time, and an error ledger whose catch numbering runs to #256 --- a monotone counter over the mathematics campaign's append-only flags ledger, maintained 2026-07-07 to 2026-07-20 (one number, #79, was never assigned; later catches are recorded un-numbered) --- against zero incorrect proofs reaching the record.",
      "title": "AI with Authority, from Application to Silicon",
      "updated": "2026-08-21",
      "url": "https://arxiv.org/abs/2608.21356"
    },
    {
      "age_days": 4,
      "arxiv_id": "2608.20153",
      "authors": [
        "Dingzirui Wang",
        "Xuanliang Zhang",
        "Keyan Xu",
        "Qingfu Zhu",
        "Wanxiang Che"
      ],
      "content_date": "2026-08-20",
      "freshness": "fresh",
      "id": "arxiv:2608.20153",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "autoformalization"
      ],
      "published": "2026-08-20",
      "score": 3.5,
      "source": "arxiv-ai4math-core",
      "summary": "Large language models (LLMs) have shown growing potential for automated theoretical computer science (TCS) research, yet existing benchmarks remain far from realistic research settings. We introduce \\ourbenchmark, an expert-validated benchmark for evaluating LLMs on frontier, end-to-end TCS research. \\ourbenchmark contains $175$ instances drawn from papers accepted to STOC, FOCS, SODA, and COLT in 2025-2026, preserving paper-specific definitions, assumptions, and proof dependencies, with expert-verified Lean formalizations and proofs. Evaluations of leading LLMs reveal that current models remain far from reliably completing the full research pipeline. In particular, autoformalization is the sharpest bottleneck: the best model achieves only $11.5$ on translating natural-language claims into formal theorem statements, compared with $28.6$ Pass@8 when proving human-provided formal statements. Building on \\ourbenchmark, we further develop an automated TCS research framework that generates, formalizes, filters, and proves new claims. Of $64$ generated claims, only $6$ ultimately pass expert evaluation and proof verification, indicating that beyond formalization, limited research taste remains another major barrier to autonomous TCS research.",
      "title": "FormalTCS: Benchmarking End-to-End Frontier Formal Theoretical Computer Science Research of Large Language Models",
      "updated": "2026-08-20",
      "url": "https://arxiv.org/abs/2608.20153"
    },
    {
      "age_days": 4,
      "arxiv_id": "2608.19847",
      "authors": [
        "Benqi Liu",
        "Kangkang Deng",
        "Zichen Wang",
        "Zaiwen Wen"
      ],
      "content_date": "2026-08-20",
      "freshness": "fresh",
      "id": "arxiv:2608.19847",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "lean_formal_proving_agents"
      ],
      "published": "2026-08-20",
      "score": 3.5,
      "source": "arxiv-ai4math-core",
      "summary": "Augmented Lagrangian methods are effective for nonlinear equality-constrained optimization, but solving their nonlinear primal subproblems can be expensive. For smooth nonconvex problems with deterministic or stochastic objectives, we propose a nonlinear-residual linearized augmented Lagrangian method (NR-LALM) that replaces this subproblem by a regularized Gauss-Newton-type step while retaining the classical multiplier update based on the nonlinear constraint residual. The resulting step is computed from one symmetric positive-definite linear system, but the mismatch between the linearized primal model and the nonlinear-residual update produces a quadratic constraint-linearization error in the multiplier identity. We show that this error can be controlled under local regularity; multiplier boundedness and trajectory localization are derived rather than assumed. With fixed, accuracy-independent parameters, deterministic NR-LALM finds an $\\varepsilon$-approximate Karush-Kuhn-Tucker (KKT) pair in $O(\\varepsilon^{-2})$ iterations and first-order oracle evaluations. For stochastic objectives, a projected stochastic path-integrated differential estimator with safeguarded restarts requires, in expectation, $O(\\varepsilon^{-3})$ stochastic-gradient evaluations and $O(\\varepsilon^{-2})$ constraint and Jacobian evaluations. Compactness and a Kurdyka-Lojasiewicz condition further yield finite-length convergence of the deterministic primal-dual sequence. An optional minimum-norm second-order correction reduces the constraint-linearization error from second to fourth order without changing the complexity orders. All theoretical results are formalized in Lean 4. Numerical experiments confirm the predicted error orders and show favorable performance on high-dimensional deterministic and stochastic problems.",
      "title": "A Fixed-Penalty Linearized Augmented Lagrangian Method with Classical Multiplier Updates",
      "updated": "2026-08-20",
      "url": "https://arxiv.org/abs/2608.19847"
    },
    {
      "age_days": 5,
      "arxiv_id": "2608.19058",
      "authors": [
        "Mahadee Al Mobin",
        "Md. Shariful Islam"
      ],
      "content_date": "2026-08-19",
      "freshness": "fresh",
      "id": "arxiv:2608.19058",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "lean_formal_proving_agents"
      ],
      "published": "2026-08-19",
      "score": 3.5,
      "source": "arxiv-ai4math-core",
      "summary": "We state and prove the Theorem: for primes $p < 10^n$ with base-$10$ expansion $p = \\sum_{k=0}^{n(p)-1} d_k(p) 10^k$, the positional digit probabilities $P_n(d \\mid k)$ satisfy \\[ \\lim_{n \\to \\infty} P_n(d \\mid k) = \\begin{cases} 1/10, & k \\ge 1,\\ d \\in \\{0,\\dots,9\\}, \\\\[4pt] 1/9, & k = \\mathrm{lead},\\ d \\in \\{1,\\dots,9\\}. \\end{cases} \\] The limiting behavior splits cleanly into two distinct mechanisms: an arithmetic regime for interior digits and an Archimedean regime for the leading digit. For fixed interior positions ($k \\ge 1$), digit extraction modulo $10^{k+1}$ reduces the problem to prime counts in reduced residue classes, where uniform distribution follows from Siegel--Walfisz (with Bombieri--Vinogradov allowing $k$ to grow with $n$). For the leading digit, the $1/9$ limit is not a Benford-type scale invariance, but arises from the local near-constancy of the prime density $1/\\log t$ within single decades combined with a Toeplitz-type error averaging. Explicit classical and conditional error bounds are recorded for both regimes.",
      "title": "The Position-wise Prime Digit Distribution Theorem: A Formal Proof of Position-wise Digit Equidistribution in the Prime Numbers",
      "updated": "2026-08-19",
      "url": "https://arxiv.org/abs/2608.19058"
    },
    {
      "age_days": 5,
      "arxiv_id": "2608.18723",
      "authors": [
        "Ghislain Dorian Tchuente Mondjo"
      ],
      "content_date": "2026-08-19",
      "freshness": "fresh",
      "id": "arxiv:2608.18723",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "lean_formal_proving_agents"
      ],
      "published": "2026-08-19",
      "score": 3.5,
      "source": "arxiv-ai4math-core",
      "summary": "Telecom operators traditionally offer predefined tariff grids, forcing users to choose from a limited set of plans. This paper proposes BFTR (Budget-First Tariff Recommendation), a complete algorithmic framework integrating eight Budget-First strategies, including two original hybrid approaches: Recursive Hybrid (conditional interpolation) and Knapsack-First Hybrid (priority knapsack). Unlike existing approaches that adjust prices upward to guarantee a minimum margin, BFTR guarantees the absence of overcharging by systematically aligning the final price with the catalog reference price. We mathematically formalize each strategy, prove the existence of an offer for any positive budget, and prove that the price deviation (surcharge) is zero for all strategies that do not use interpolation with correction. A detailed comparative analysis confronts BFTR to ten main existing tariff models on ten dimensions. Experiments on a dataset of 974 customers inspired by the Nigerian MTN market show that: (i) Recursive Hybrid is optimal for the customer (100% budget used, 29.9 GB volume, utility 0.946, 0% overcharging), (ii) Piecewise offers the highest volume (39.7 GB) with 0% overcharging, (iii) Power Law provides an excellent compromise (99.9% budget, 38.1 GB, 0% overcharging). All strategies achieve a zero surcharge, confirming the theoretical guarantees. A sensitivity analysis on the weighting parameter alpha (0.2 - volume priority, 0.5 - balance, 0.8 - budget priority) shows that utility rankings evolve logically. Execution times (< 10 ms) and very low failure rates (0% for robust strategies) confirm the operational viability of the system. The formal proof of the absence of overcharging constitutes a major theoretical contribution.",
      "title": "Budget-First Tariff Recommendation (BFTR): A Complete Algorithmic Framework for Telecom Plan Recommendation without Overcharging",
      "updated": "2026-08-19",
      "url": "https://arxiv.org/abs/2608.18723"
    },
    {
      "age_days": 6,
      "arxiv_id": "2608.17274",
      "authors": [
        "Hongru Zhao"
      ],
      "content_date": "2026-08-18",
      "freshness": "fresh",
      "id": "arxiv:2608.17274",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "lean_formal_proving_agents"
      ],
      "published": "2026-08-18",
      "score": 3.5,
      "source": "arxiv-ai4math-core",
      "summary": "We study the von Neumann entanglement entropy generated by a Haar distributed passive interferometer acting on $n$ equally squeezed input modes with fixed nonzero squeezing strength $s$. Previous work established proportional weak typicality for integer R'enyi orders $α\\geq 2$ and stated a sublinear von Neumann result, while the proportional von Neumann case remained open. For a subsystem of $k_n$ modes satisfying $k_n/n\\to r\\in(0,1)$, we prove that, for every $\\varepsilon>0$ and all sufficiently large $n$, $\\mathbb{P}\\left(\\left|\\frac{S_{1,n}}{\\mathbb{E}S_{1,n}}-1\\right|\\geq\\varepsilon\\right)\\leq2\\exp\\left[-\\frac{c_{s,r}\\varepsilon^2n^2}{\\log^2(en)}\\right].$ The proof represents the entropy as a singular value statistic of a principal block of $UU^{\\mathsf T}$, where $U$ denotes the unitary interferometer. It regularizes the logarithmic singularity at the endpoint corresponding to a pure Gaussian mode and applies concentration on the unitary group. The result establishes proportional von Neumann weak typicality and further implies almost sure convergence of $S_{1,n}/\\mathbb{E}S_{1,n}$ to $1$, a typical volume law, and the variance bound $\\mathrm{Var}(S_{1,n})=O_s(\\log^2 n)$. An accompanying Lean 4 development verifies the proof chain.",
      "title": "Weak Typicality of von Neumann Entanglement Entropy in Gaussian Boson Sampling",
      "updated": "2026-08-18",
      "url": "https://arxiv.org/abs/2608.17274"
    },
    {
      "age_days": 6,
      "arxiv_id": "2608.17741",
      "authors": [
        "Olga Mashkova",
        "Asaad Mohammedsaleh",
        "Fernando Zhapa-Camacho",
        "Robert Hoehndorf"
      ],
      "content_date": "2026-08-18",
      "freshness": "fresh",
      "id": "arxiv:2608.17741",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "lean_formal_proving_agents"
      ],
      "published": "2026-08-18",
      "score": 3.5,
      "source": "arxiv-ai4math-core",
      "summary": "OWL 2 DL ontologies, grounded in the description logic $\\mathcal{SROIQ}$, express large knowledge bases in biomedicine and the Semantic Web. Neuro-symbolic (NeSy) learners over description logics either embed the ontology in a continuous space, abandoning classical entailment, or restrict to the Horn fragment $\\mathcal{EL}^{++}$, which has a single canonical model. We present Baobab, which compiles a $\\mathcal{SROIQ}$ ontology with a finite ABox into a Sentential Decision Diagram (SDD): it saturates a propositional core under a consequence-based calculus and instantiates the remaining $\\mathcal{SROIQ}$ features (nominals, number restrictions, and the role axioms) over the active domain. The SDD's evidence-conditioned weighted model count then trains a perception network to recognize real images under partial ABox supervision: on an ontology that exercises every distinctive $\\mathcal{SROIQ}$ feature, a CNN learns to read MNIST digits coupled by a successor relation and recovers latent ontology concepts that an independent perception leaves at chance. When the supervision admits several ontology-consistent completions, an independent perception collapses onto one, a reasoning shortcut: we show that a mixture indexed by the query's justifications can represent the calibrated posterior no independent perception can, and that seeding it from the circuit's enumerated completions attains the Bayes-optimal posterior on a real-image MNIST task where single-WMC and learned mixtures (the BEARS-ensemble hypothesis class) do not: to our knowledge the first to characterize and mitigate reasoning shortcuts in a non-Horn description logic. Soundness of the compiler and the representation result are machine-checked in Lean 4. Code is available at https://github.com/bio-ontology-research-group/baobab.",
      "title": "Neuro-symbolic learning over OWL 2 DL via consequence-based compilation to differentiable circuits",
      "updated": "2026-08-18",
      "url": "https://arxiv.org/abs/2608.17741"
    },
    {
      "age_days": 6,
      "arxiv_id": "2608.17634",
      "authors": [
        "Satpreet Makhija"
      ],
      "content_date": "2026-08-18",
      "freshness": "fresh",
      "id": "arxiv:2608.17634",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "lean_formal_proving_agents"
      ],
      "published": "2026-08-18",
      "score": 3.5,
      "source": "arxiv-ai4math-core",
      "summary": "The $\\operatorname{do}$-operator is described graphically by deleting arrows into its targets and functionally by replacing their mechanisms with constants. To call these operations equivalent is not yet a mathematical statement: one returns a graph and remembers only the targets, whereas the other returns mechanisms and also remembers the imposed values. We make a dependency-level comparison precise for deterministic acyclic structural causal models with finitely many endogenous variables. If $\\operatorname{Graph}(F)$ extracts the dependencies of a mechanism family $F$, our main theorem is $\\operatorname{Graph}(F^ι)=\\operatorname{Surg}(\\operatorname{Graph}(F),T_ι)$. Thus replacing target mechanisms removes exactly the dependencies removed by graph surgery. For a model $M=(G,F)$ whose graph may contain unused arrows, we characterize when the same equality holds with $G$ in place of $\\operatorname{Graph}(F)$; it holds for every intervention exactly when $G$ records the dependencies of $F$ exactly. We then define the intervened model, characterize its run, show how sequential interventions combine, and prove that an outcome depends only on interventions at its actual dependency ancestors. All principal results are machine-checked in an accompanying Lean 4 development.",
      "title": "Graph Surgery and the Do-Operator: A Precise Correspondence for Acyclic Structural Causal Models",
      "updated": "2026-08-20",
      "url": "https://arxiv.org/abs/2608.17634"
    },
    {
      "age_days": 6,
      "arxiv_id": "2608.17880",
      "authors": [
        "Ibrahim Mian",
        "Shayaan Siddique"
      ],
      "content_date": "2026-08-18",
      "freshness": "fresh",
      "id": "arxiv:2608.17880",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "lean_formal_proving_agents"
      ],
      "published": "2026-08-18",
      "score": 3.5,
      "source": "arxiv-ai4math-core",
      "summary": "Erdős problem 647 asks whether any $n > 24$ satisfies $\\max_{m<n}(m + τ(m)) \\le n + 2$, where $τ$ is the divisor-count function. Computational searches have excluded solutions up to $10^{12}$ by direct sieve and up to roughly $9.17 \\times 10^{18}$ within a modular reduction whose Lean component relies on native_decide; those computations sit outside any proof kernel. We give the first exclusion checked end to end by one: no solution exists with $24 < n \\le 10^9$, proved in Lean 4 with axiom closure exactly {propext, Classical.choice, Quot.sound} -- no sorry, no native_decide, no problem-specific axiom. The proof replays a chain of 6,685,922 factorization witnesses whose excluded intervals concatenate across $(24, 10^9]$; it needs no primality facts beyond primes below 1024, and it is the finite, fully proved form of a domination-interval argument whose asymptotic step was the identified gap in a withdrawn January 2026 claim on this problem. The generation pipeline is cross-checked by two further independent implementations, the compiled development replays through the standalone lean4checker, and two from-source verification legs -- Lean toolchains compiled from source by gcc and by clang, mathlib rebuilt with no cache -- reproduce the committed certificates byte for byte, with olean digests identical across three builds on two architectures. Our range is three to ten orders of magnitude below the computational frontiers we cite; the contribution is the trust base, not the range.",
      "title": "A Kernel-Checked Exclusion Certificate for Erdős Problem 647",
      "updated": "2026-08-18",
      "url": "https://arxiv.org/abs/2608.17880"
    },
    {
      "age_days": 7,
      "arxiv_id": "2608.16649",
      "authors": [
        "Hardik Jain"
      ],
      "content_date": "2026-08-17",
      "freshness": "fresh",
      "id": "arxiv:2608.16649",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "lean_formal_proving_agents"
      ],
      "published": "2026-08-17",
      "score": 3.5,
      "source": "arxiv-ai4math-core",
      "summary": "The tensor rank of a bilinear map is the least number of multiplications any bilinear algorithm needs to compute it; for the multiplication of an algebra it measures how cheaply the algebra can be multiplied at all. For the even-dimensional real normed division algebras it is $3$ for the complex numbers and $8$ for the quaternions, both classical, while for the octonions $\\mathbb{O}$ only a range was known: at least $15$ (Fiduccia and Zalcstein, 1977) and at most $30$ (Cariow and Cariowa). We prove $$18 \\le \\operatorname{R}_{\\mathbb{R}}(T_{\\mathbb{O}}) \\le 25.$$ The lower bound peels the eight slices of $T_{\\mathbb{O}}$ down to two and bounds the rank of the surviving pencil through the octonion norm. Nothing in it is special to dimension $8$: the same steps give $\\operatorname{R}_{\\mathbb{R}}(T_A) \\ge \\frac{5}{2}n - 2$ for every real normed division algebra $A$ of even dimension $n$, sharp for $\\mathbb{C}$ and $\\mathbb{H}$ and the best bound we know for $\\mathbb{O}$. The upper bound is a separate construction, an explicit rank-$25$ decomposition certified by a Krawczyk argument, in exact rational arithmetic, to sit within $10^{-6}$ of an exact one. The same two arguments pin down the rank of a smaller three-slice quaternion tensor $τ$, giving $\\operatorname{R}_{\\mathbb{R}}(τ) = 7$. The Lean 4 kernel checks the lower bounds and the Krawczyk existence principle; the accompanying scripts check the certificate's finitely many exact-rational inequalities.",
      "title": "Bounds on the real tensor rank of octonion multiplication",
      "updated": "2026-08-17",
      "url": "https://arxiv.org/abs/2608.16649"
    },
    {
      "age_days": 8,
      "arxiv_id": "2608.15810",
      "authors": [
        "Fanzhe Wei",
        "Li Liu"
      ],
      "content_date": "2026-08-16",
      "freshness": "fresh",
      "id": "arxiv:2608.15810",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "lean_formal_proving_agents"
      ],
      "published": "2026-08-16",
      "score": 3.5,
      "source": "arxiv-ai4math-core",
      "summary": "Runtime compression of serving state trades quality for capacity with no priced guarantee: systems adapt precision on load signals with no soundness statement, and certified approaches budget request-level risk by a union bound over a pre-declared event count. We show the union budget exhausts on every long request in a production serving stack (100% of requests), and replace it with an anytime-valid, physically accounted ledger whose bound holds at every one of 352,333 admission calls on live traffic and which, in a pre-registered held-out confirmatory round, halves the exact-fallback rate at matched risk (0.30 -> 0.14) -- coverage is bought at a price the account states. We then price the remaining distance from the certified witness to what a user experiences: a machine-checked design law (TV <= tanh(a_q w_thr)) turns the served-TV target into a threshold knob, and a three-layer audit of its instantiation -- an operator-norm query envelope measured 1.5x from tight, a measured-ellipsoid replacement for the Cauchy-Schwarz ball that buys nothing (0.89x, held-out sound), and the gate's operating point (~700x) -- localizes the entire 1064x gap to the operating point, a price the law now states rather than an unknown. A priced bound is worth nothing on a request one has not seen, so the third link is the quantifier: exchangeable extrapolation across 80 serving histories replaces binary conformal prediction's vacuous certificates with order-statistic bounds that discriminate (0.41 against 0.51 calibration risk). All probabilistic kernels are Lean 4-checked (228 exported theorems, no sorry); which object deserves this machinery at all is settled empirically in a companion paper that adjudicates -- and rejects -- the natural alternative of certifying routing. What ships is an account: risk you can spend, a gap you can read off a law, and a bound that survives the request you have not seen.",
      "title": "Pricing the Risk of Runtime Compression: Anytime-Valid Admission and a Served-Output Law for Compressed Serving State",
      "updated": "2026-08-16",
      "url": "https://arxiv.org/abs/2608.15810"
    },
    {
      "age_days": 8,
      "arxiv_id": "2608.15914",
      "authors": [
        "Benny Avelin"
      ],
      "content_date": "2026-08-16",
      "freshness": "fresh",
      "id": "arxiv:2608.15914",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "lean_formal_proving_agents"
      ],
      "published": "2026-08-16",
      "score": 3.5,
      "source": "arxiv-ai4math-core",
      "summary": "We study Gaussian random dynamical systems with coordinatewise $\\tanh$ nonlinearity, where finite precision is modeled by nearest-grid rounding after each step. Gaussian symmetry reduces the dynamics to an exact Markov chain for the normalized squared radius. Rounding makes the origin absorbing, and the total variation distance to the absorbing equilibrium equals the survival probability of the absorption time. At fixed width, we identify the critical gain and prove an absorption cutoff with Gaussian profile as the mesh tends to zero. At fixed precision, global contraction yields a large-dimension absorption cutoff, while positive drift produces metastability. In the supercritical regime, we prove a large-dimension cutoff to a nonzero invariant law and show that, at fixed dimension, its mass near the repelling origin has a power-law asymptotic. All six main results are formalized in Lean 4 on top of Mathlib and independently checked against restatements that import only Mathlib.",
      "title": "Absorption cutoff and stationary singularities for rounded Gaussian random dynamical systems",
      "updated": "2026-08-16",
      "url": "https://arxiv.org/abs/2608.15914"
    },
    {
      "age_days": 9,
      "arxiv_id": "2608.15337",
      "authors": [
        "Michele Caprio"
      ],
      "content_date": "2026-08-15",
      "freshness": "fresh",
      "id": "arxiv:2608.15337",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "lean_formal_proving_agents"
      ],
      "published": "2026-08-15",
      "score": 3.5,
      "source": "arxiv-ai4math-core",
      "summary": "We disprove the expectation stated by Xin, Yu, and Ronney that the physical positive part strain $G$-equation should possess an effective burning velocity in cellular flows. For the standard cellular flow in dimension two $V_A(x_1,x_2)=A(-\\sin x_1\\cos x_2,\\cos x_1\\sin x_2)$, if $0<d<20/399$ and $\\sqrt{1+4d^2}<Ad\\le1+d/10$, then for every unit planar slope the periodic correction develops oscillations at least linearly in time. The solution remains bounded below on an explicit horizontal channel through $(π,0)$, while at $(π/2,0)$ it decreases at rate at least $CA/\\log A$, with $C>0$ universal. The same conclusions hold for arbitrary continuous periodic perturbations of planar initial data. Under the physical scaling $V_A(x/\\varepsilon)$ and $d_\\varepsilon=\\varepsilon d$, an order one value gap persists between points at distance $O(\\varepsilon)$ at every positive macroscopic time, so the rescaled solutions have no locally uniformly convergent subsequence. The proof uses the Hamiltonian sandwich $H_{\\mathrm{unc}}\\le H_+\\le\\widehat H$. The upper comparator $\\widehat H$ is a rectangular support function, equivalently an upper expectation over a state-dependent credal set, whose reversed control dynamics possess an invariant comparison channel. We also prove that for any $C^2$ incompressible periodic flow, every $\\varepsilon$-outward barrier certificate has covering radius at most $2d\\varepsilon$ for all sufficiently small $\\varepsilon$. We further discuss implications for statistics and machine learning: rectangular, time-consistent local uncertainty need not imply forgetting of the initial state in the long run, so additional global stability or ergodicity conditions are needed in robust sequential decision making. Two Lean 4 appendices record conditional formalizations of a sufficient $p=e_1$ subregime and of the logical assembly of the rigidity theorem for barrier certificates.",
      "title": "The Physical Cutoff Does Not Restore Homogenization: Phase-Dependent Burning in the Strain G-Equation",
      "updated": "2026-08-15",
      "url": "https://arxiv.org/abs/2608.15337"
    },
    {
      "age_days": 6,
      "arxiv_id": "2608.18024",
      "authors": [
        "Haruhisa Enomoto"
      ],
      "content_date": "2026-08-18",
      "freshness": "fresh",
      "id": "arxiv:2608.18024",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "general_ai_math_reasoning"
      ],
      "published": "2026-08-18",
      "score": 1.9,
      "source": "arxiv-ai4math-core",
      "summary": "We study subcategories of the module category of a finite-dimensional algebra that are closed under quotients or submodules. We propose the quotient--submodule equidistribution conjecture: over a representation-finite algebra, the number of quotient-closed subcategories of size $i$ is equal to that of submodule-closed subcategories of size $i$ for every $i$, where size is the number of indecomposable modules in the subcategory. We prove the following cases of the conjecture: (1) the five smallest and five largest values of $i$, hence all algebras with at most nine indecomposable modules; (2) Nakayama algebras; (3) algebras with radical square zero; and (4) representation-directed algebras. In the last case, we classify quotient-closed subcategories by a lower Bruhat interval in a Coxeter group constructed from the Auslander--Reiten quiver, extending the classification of Oppermann--Reiten--Thomas for Dynkin quivers. We also prove that quotient closure defines a finitary convex geometry and classify the functorially finite quotient-closed subcategories by Gen-minimal modules.",
      "title": "An equidistribution conjecture for quotient-closed and submodule-closed subcategories",
      "updated": "2026-08-20",
      "url": "https://arxiv.org/abs/2608.18024"
    },
    {
      "age_days": 0,
      "authors": [
        "Henrik Böving"
      ],
      "content_date": "2026-08-24",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:7169e0500dda",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-24",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: perf: reduce aggressiveness of BitVec e-matching (#14905)",
      "updated": "2026-08-24",
      "url": "https://github.com/leanprover/lean4/commit/7169e0500ddaf19c1f0d79b2b4c23c854cf50d43"
    },
    {
      "age_days": 0,
      "authors": [
        "Henrik Böving"
      ],
      "content_date": "2026-08-24",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:b464d0396fa1",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-24",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: perf: less aggressive e-matching for `List.Nodup.getElem_inj` (#14903)",
      "updated": "2026-08-24",
      "url": "https://github.com/leanprover/lean4/commit/b464d0396fa1400bce86f3e68c5bda601201b746"
    },
    {
      "age_days": 0,
      "authors": [
        "Henrik Böving"
      ],
      "content_date": "2026-08-24",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:b182d58dfa3a",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-24",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: fix: mdata in mvcgen (#14889)",
      "updated": "2026-08-24",
      "url": "https://github.com/leanprover/lean4/commit/b182d58dfa3a2249a69ae5c5164907fb12524de7"
    },
    {
      "age_days": 0,
      "authors": [
        "Mac Malone"
      ],
      "content_date": "2026-08-24",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:dd9cb93def1f",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-24",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: fix: lake: sync `--fail-fast` test via job dependencies (#14907)",
      "updated": "2026-08-24",
      "url": "https://github.com/leanprover/lean4/commit/dd9cb93def1f4678434f84afb72ee8378c0800e4"
    },
    {
      "age_days": 0,
      "authors": [
        "Mac Malone"
      ],
      "content_date": "2026-08-24",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:04b67f75fbeb",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-24",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: fix: lake: `meta import` after `import all` (#14902)",
      "updated": "2026-08-24",
      "url": "https://github.com/leanprover/lean4/commit/04b67f75fbeba062e7285caa9d7b6bf2c1c72360"
    },
    {
      "age_days": 0,
      "authors": [
        "yhx-12243"
      ],
      "content_date": "2026-08-24",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:19260e81d1ca",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-24",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: fix: add lawful `BEq` instances for `Sum` and expose the derived `BEq` (#14895)",
      "updated": "2026-08-24",
      "url": "https://github.com/leanprover/lean4/commit/19260e81d1ca2ea41aea9cb9946fccdfc7474a0b"
    },
    {
      "age_days": 0,
      "authors": [
        "Kim Morrison"
      ],
      "content_date": "2026-08-24",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:8b6143a341d6",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-24",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: feat: add the recall command (#14899)",
      "updated": "2026-08-24",
      "url": "https://github.com/leanprover/lean4/commit/8b6143a341d6d5111e6e98e8e3745e1eb220bff2"
    },
    {
      "age_days": 0,
      "authors": [
        "Wojciech Różowski"
      ],
      "content_date": "2026-08-24",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:15e960e6c8ac",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-24",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: feat: add `monotonicity_by` clause to `coinductive` predicates (#14861)",
      "updated": "2026-08-24",
      "url": "https://github.com/leanprover/lean4/commit/15e960e6c8ac6d1829992b7a4e947d909b59a066"
    },
    {
      "age_days": 0,
      "authors": [
        "Lean stage0 autoupdater"
      ],
      "content_date": "2026-08-24",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:71a4d9a3e573",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-24",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: chore: update stage0",
      "updated": "2026-08-24",
      "url": "https://github.com/leanprover/lean4/commit/71a4d9a3e573916b2bbcb49ad9e1ca62851b77da"
    },
    {
      "age_days": 0,
      "authors": [
        "Etienne Marion"
      ],
      "content_date": "2026-08-24",
      "freshness": "fresh",
      "id": "github:leanprover-community/mathlib4:21105c5b7272",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-24",
      "repo": "leanprover-community/mathlib4",
      "score": 0.8,
      "source": "mathlib4-github",
      "summary": "Recent commit on leanprover-community/mathlib4.",
      "title": "leanprover-community/mathlib4: refactor: change mapRangeₗ to require a `ContinuousLinearMap` (#42767)",
      "updated": "2026-08-24",
      "url": "https://github.com/leanprover-community/mathlib4/commit/21105c5b727233b6a88b1532e0836c1d137be8d6"
    },
    {
      "age_days": 0,
      "authors": [
        "David Loeffler"
      ],
      "content_date": "2026-08-24",
      "freshness": "fresh",
      "id": "github:leanprover-community/mathlib4:437b58226435",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-24",
      "repo": "leanprover-community/mathlib4",
      "score": 0.8,
      "source": "mathlib4-github",
      "summary": "Recent commit on leanprover-community/mathlib4.",
      "title": "leanprover-community/mathlib4: refactor(Topology/Algebra/Group): split long file Basic.lean (#43010)",
      "updated": "2026-08-24",
      "url": "https://github.com/leanprover-community/mathlib4/commit/437b5822643591877a06bb2b63d056b2e39797f2"
    },
    {
      "age_days": 0,
      "authors": [
        "David Loeffler"
      ],
      "content_date": "2026-08-24",
      "freshness": "fresh",
      "id": "github:leanprover-community/mathlib4:af5b7e58af96",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-24",
      "repo": "leanprover-community/mathlib4",
      "score": 0.8,
      "source": "mathlib4-github",
      "summary": "Recent commit on leanprover-community/mathlib4.",
      "title": "leanprover-community/mathlib4: refactor(MeasureTheory/Integral): split long file SetToL1.lean (#43021)",
      "updated": "2026-08-24",
      "url": "https://github.com/leanprover-community/mathlib4/commit/af5b7e58af96e73a3fb193515261f17ad25989fe"
    },
    {
      "age_days": 0,
      "authors": [
        "David Loeffler"
      ],
      "content_date": "2026-08-24",
      "freshness": "fresh",
      "id": "github:leanprover-community/mathlib4:2c99b7bf363c",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-24",
      "repo": "leanprover-community/mathlib4",
      "score": 0.8,
      "source": "mathlib4-github",
      "summary": "Recent commit on leanprover-community/mathlib4.",
      "title": "leanprover-community/mathlib4: refactor(Data/Set): split long file Lattice.lean (#43030)",
      "updated": "2026-08-24",
      "url": "https://github.com/leanprover-community/mathlib4/commit/2c99b7bf363ce6123c6f22241b920cbd310be945"
    },
    {
      "age_days": 0,
      "authors": [
        "David Loeffler"
      ],
      "content_date": "2026-08-24",
      "freshness": "fresh",
      "id": "github:leanprover-community/mathlib4:be7cb662114c",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-24",
      "repo": "leanprover-community/mathlib4",
      "score": 0.8,
      "source": "mathlib4-github",
      "summary": "Recent commit on leanprover-community/mathlib4.",
      "title": "leanprover-community/mathlib4: refactor(Analysis/Asymptotics): split long file Defs.lean (#42997)",
      "updated": "2026-08-24",
      "url": "https://github.com/leanprover-community/mathlib4/commit/be7cb662114c2bbb700762da85db9fa8836c752b"
    },
    {
      "age_days": 0,
      "authors": [
        "Zhao Yuyang 赵雨扬"
      ],
      "content_date": "2026-08-24",
      "freshness": "fresh",
      "id": "github:leanprover-community/mathlib4:39ab505e9c9a",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-24",
      "repo": "leanprover-community/mathlib4",
      "score": 0.8,
      "source": "mathlib4-github",
      "summary": "Recent commit on leanprover-community/mathlib4.",
      "title": "leanprover-community/mathlib4: perf: flatten `Monoid` (#42599)",
      "updated": "2026-08-24",
      "url": "https://github.com/leanprover-community/mathlib4/commit/39ab505e9c9a36f45f04de8fede4772df5fb0ce3"
    },
    {
      "age_days": 0,
      "authors": [
        "Rémy Degenne"
      ],
      "content_date": "2026-08-24",
      "freshness": "fresh",
      "id": "github:leanprover-community/mathlib4:2e7bad0d7dfd",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-24",
      "repo": "leanprover-community/mathlib4",
      "score": 0.8,
      "source": "mathlib4-github",
      "summary": "Recent commit on leanprover-community/mathlib4.",
      "title": "leanprover-community/mathlib4: feat: variants of `Measurable.oneLePart` and related lemmas (#41322)",
      "updated": "2026-08-24",
      "url": "https://github.com/leanprover-community/mathlib4/commit/2e7bad0d7dfd0682b18daec6b25f11f41e6ef11f"
    },
    {
      "age_days": 0,
      "authors": [
        "Etienne Marion"
      ],
      "content_date": "2026-08-24",
      "freshness": "fresh",
      "id": "github:leanprover-community/mathlib4:00870014e825",
      "kind": "github_update",
      "label": "negative",
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      "title": "leanprover/lean4: refactor: move `PredTrans` combinators into the `PredTrans` namespace (#14882)",
      "updated": "2026-08-21",
      "url": "https://github.com/leanprover/lean4/commit/f6c7d68c7fc27e3b60585f30740c7d141d3c5b36"
    },
    {
      "age_days": 3,
      "authors": [
        "Mac Malone"
      ],
      "content_date": "2026-08-21",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:88b5922ce13e",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-21",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: fix: lake: trace bootstrap `lean.h` (#14853)",
      "updated": "2026-08-21",
      "url": "https://github.com/leanprover/lean4/commit/88b5922ce13e1ac42afe1366e4f30666fdd23330"
    },
    {
      "age_days": 3,
      "authors": [
        "Robert J. Simmons"
      ],
      "content_date": "2026-08-21",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:5c0c5995e1d6",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-21",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: fix: collapse empty DiscrTree tries (#14844)",
      "updated": "2026-08-21",
      "url": "https://github.com/leanprover/lean4/commit/5c0c5995e1d69c7ff0eb6860ee109b91ccc2caac"
    },
    {
      "age_days": 3,
      "authors": [
        "Sebastian Graf"
      ],
      "content_date": "2026-08-21",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:5adc41ebee85",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-21",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: feat: deprecate the `mvcgen` tactic (#14874)",
      "updated": "2026-08-21",
      "url": "https://github.com/leanprover/lean4/commit/5adc41ebee85e17f75c528168058be83e525d989"
    },
    {
      "age_days": 3,
      "authors": [
        "Sebastian Graf"
      ],
      "content_date": "2026-08-21",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:03d7a4efd5f7",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-21",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: feat: add `experimental.vcgen` option and a `vcgen invariants?` removal notice (#14870)",
      "updated": "2026-08-21",
      "url": "https://github.com/leanprover/lean4/commit/03d7a4efd5f74dc886ba33eab424611146d49e03"
    },
    {
      "age_days": 3,
      "authors": [
        "Kim Morrison"
      ],
      "content_date": "2026-08-21",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:5600c6ed6412",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-21",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: chore: generate a usable Zulip announcement for patch releases (#14878)",
      "updated": "2026-08-21",
      "url": "https://github.com/leanprover/lean4/commit/5600c6ed6412df4aa6dbdc34532f82011968eaad"
    },
    {
      "age_days": 3,
      "authors": [
        "Sebastian Ullrich"
      ],
      "content_date": "2026-08-21",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:e5eabe597c43",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-21",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: chore: fix test name (#14873)",
      "updated": "2026-08-21",
      "url": "https://github.com/leanprover/lean4/commit/e5eabe597c43b4a848c0bac78f4205505eac936c"
    },
    {
      "age_days": 3,
      "authors": [
        "Sebastian Ullrich"
      ],
      "content_date": "2026-08-21",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:dd7716da5b36",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-21",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: chore: enforce the requested libuv version (#14871)",
      "updated": "2026-08-21",
      "url": "https://github.com/leanprover/lean4/commit/dd7716da5b36bc54601dc3f4257fe74123fa2b8a"
    },
    {
      "age_days": 3,
      "authors": [
        "Kim Morrison"
      ],
      "content_date": "2026-08-21",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:5377fdd2a337",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-21",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: chore: credit the running user in generated release notes (#14879)",
      "updated": "2026-08-21",
      "url": "https://github.com/leanprover/lean4/commit/5377fdd2a337d8faee05500d126070c1f9aceddb"
    },
    {
      "age_days": 3,
      "authors": [
        "Eric Wieser"
      ],
      "content_date": "2026-08-21",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:c129c5fda2e6",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-21",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: chore: all register_options should be builtin (#14868)",
      "updated": "2026-08-21",
      "url": "https://github.com/leanprover/lean4/commit/c129c5fda2e6da773e3fc23afbec64d6dd7efa4b"
    },
    {
      "age_days": 4,
      "authors": [
        "Sebastian Graf"
      ],
      "content_date": "2026-08-20",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:ae12a7964dd8",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-20",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: refactor: replace the bespoke exception postcondition types with tuples (#14836)",
      "updated": "2026-08-20",
      "url": "https://github.com/leanprover/lean4/commit/ae12a7964dd803c03dbb8c119e2931842e0e1fbb"
    },
    {
      "age_days": 4,
      "authors": [
        "Fawad Haider"
      ],
      "content_date": "2026-08-20",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:cd5cd282ff7b",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-20",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: fix: return unboxed uint8 from llvm_is_declaration (#14864)",
      "updated": "2026-08-20",
      "url": "https://github.com/leanprover/lean4/commit/cd5cd282ff7b4166e935a2bdf5fa3c5255046337"
    },
    {
      "age_days": 4,
      "authors": [
        "Robin Arnez"
      ],
      "content_date": "2026-08-20",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:bd73cfb3857b",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-20",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: feat: `Decidable` as subtype of `Bool` (#8309)",
      "updated": "2026-08-20",
      "url": "https://github.com/leanprover/lean4/commit/bd73cfb3857bc1cbcbe58eef18ee6bcf7e82eace"
    },
    {
      "age_days": 4,
      "authors": [
        "Sebastian Ullrich"
      ],
      "content_date": "2026-08-20",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:875b6b5bcf29",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-20",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: chore: update to mimalloc 3.4.4 (#14477)",
      "updated": "2026-08-20",
      "url": "https://github.com/leanprover/lean4/commit/875b6b5bcf293b6ce17ea6a1a977363f1b51d66b"
    },
    {
      "age_days": 4,
      "arxiv_id": "2608.19844",
      "authors": [
        "Liyan Wang"
      ],
      "content_date": "2026-08-20",
      "freshness": "fresh",
      "id": "arxiv:2608.19844",
      "kind": "paper",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-20",
      "score": 0.5,
      "source": "arxiv-ai4math-core",
      "summary": "For $n\\geq 4$, let $c(n)$ be the minimum number of distinct circles containing at least three points of an $n$-point set in the Euclidean plane, where the set is neither collinear nor concyclic. Put[F(n)=1+\\binom{n-1}{2}-\\left\\lfloor\\frac{n-1}{2}\\right\\rfloor.]We determine $c(n)$ for every $n\\geq 4$: it equals $F(n)$ apart from three exceptional orders. We also solve the variant in which no three points are collinear; that variant has a single exceptional order. The proofs and exact finite verifications were developed through a collaboration between human researchers and artificial-intelligence systems.",
      "title": "Circles determined by planar point sets",
      "updated": "2026-08-20",
      "url": "https://arxiv.org/abs/2608.19844"
    },
    {
      "age_days": 4,
      "arxiv_id": "2608.20589",
      "authors": [
        "Andrey Itkin"
      ],
      "content_date": "2026-08-20",
      "freshness": "fresh",
      "id": "arxiv:2608.20589",
      "kind": "paper",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-20",
      "score": 0.5,
      "source": "arxiv-ai4math-core",
      "summary": "The Marketron model of \\cite{HalperinItkin2025Mark} and its option pricing extension in \\cite{HalperinItkinMarketron2} suffer from structural non-identifiability: an eighteen-parameter space traps solvers in suboptimal local minima and renders economic quantities unmeasurable. By removing exact scaling gauges and sign symmetries, freezing non-financial parameters by explicit criteria, and adiabatically eliminating the fast hidden signal, we derive a robust nine-parameter reduced model. A Gauss-Newton Hessian with empty null space and a manifold-boundary analysis confirm that the reduced core carries no exact symmetry and admits no further reduction. A diffusive correlation between flow and return innovations captures the short-maturity skew. A staged calibration from the physical measure to the risk-neutral measure, illustrated on SPX options, fits the whole surface with a single parameter set. The same reduction turns the wedge between the physical and pricing values of the flow block into a well-defined market price of flow risk rather than a ridge artifact, identifiable here for the first time, though a single surface constrains its level only weakly. Finally, our analysis reveals that in the Marketron model the log-price obeys a generalized Langevin equation with a closed-form, state-modulated memory kernel, and that the memory variable itself is the exact Markovian lift of this kernel. This mapping also yields a testable condition, the equality of the signal and memory relaxation rates, which on the SPX surface come out well separated, though both weakly identified, placing the fitted market tentatively in the driven, non-equilibrium regime and turning the active-matter reading from an analogy into a falsifiable constraint.",
      "title": "Calibrating Inelastic Markets to Options: The Lean Marketron and the Generalized Langevin Equation",
      "updated": "2026-08-20",
      "url": "https://arxiv.org/abs/2608.20589"
    },
    {
      "age_days": 5,
      "arxiv_id": "2608.18999",
      "authors": [
        "Danila Litvinov"
      ],
      "content_date": "2026-08-19",
      "freshness": "fresh",
      "id": "arxiv:2608.18999",
      "kind": "paper",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-19",
      "score": 0.5,
      "source": "arxiv-ai4math-core",
      "summary": "Radial clipping does two things at once: it removes the part of a vector outside a ball and retains a bounded vector inside the ball. The removed part produces bias, while the squared norm of the retained part produces energy. We determine the exact joint price of these effects when only a $p$-moment, $1<p\\le2$, is available. The problem turns out to be one-dimensional: everything is decided by the position of one point along a ray. At $α=pβ$, the extremal configuration changes. On one side a worst point can be chosen on the clipping sphere; on the other the unique positive extremal radius moves outside. When $p=2$, all inner radii tie in the first regime. The resulting constant is optimal both in the deterministic inequality and in the corresponding Hilbert-space stochastic problem. In the first regime, a symmetric law attains the bound. In the second, the supremum is not attained, but a two-point family with an increasingly rare outlier approaches it. We also show how the same transition determines the sharp bias-energy frontier. We conclude with statistical consequences and an application to online learning.",
      "title": "A Sharp Joint Bias-Energy Envelope for Radial Clipping",
      "updated": "2026-08-19",
      "url": "https://arxiv.org/abs/2608.18999"
    },
    {
      "age_days": 6,
      "arxiv_id": "2608.17317",
      "authors": [
        "Juliane Trianon Fraga",
        "Vinicius de Oliveira Rodrigues"
      ],
      "content_date": "2026-08-18",
      "freshness": "fresh",
      "id": "arxiv:2608.17317",
      "kind": "paper",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-18",
      "score": 0.5,
      "source": "arxiv-ai4math-core",
      "summary": "We prove in ZFC that every torsion-free Abelian group of cardinality $\\mathfrak c$ admits a Hausdorff countably compact group topology without nontrivial convergent sequences. In particular, this applies to the free Abelian group $\\mathbb{Z}^{(\\mathfrak c)}$, the Baer-Specker group $\\mathbb{Z}^ω$ and $\\mathbb{Q}^{(\\mathfrak c)}$. For the topology constructed on $\\mathbb{Z}^{(\\mathfrak c)}$, the coordinatewise nonnegative cone is countably compact in the subspace topology. Consequently, there exists in ZFC a commutative Tychonoff countably compact topological semigroup which has two-sided cancellation but is not a group, giving a negative answer to Wallace's question. Combined with earlier results, the main theorem also yields in ZFC a Tychonoff countably compact topological semigroup containing a copy of the bicyclic semigroup and a functionally Hausdorff countably compact paratopological group that is not a topological group.",
      "title": "The Wallace problem and countably compact torsion-free Abelian groups in ZFC",
      "updated": "2026-08-18",
      "url": "https://arxiv.org/abs/2608.17317"
    },
    {
      "age_days": 6,
      "arxiv_id": "2608.17758",
      "authors": [
        "Nalin A. G. Arachchilage",
        "Asangi Jayatilaka",
        "Senuri Wijenayake",
        "David Herbert",
        "Kaie Maennel",
        "Nicole Herbert",
        "Claudia Szabo",
        "Gabrielle Murray",
        "Gary Thomas"
      ],
      "content_date": "2026-08-18",
      "freshness": "fresh",
      "id": "arxiv:2608.17758",
      "kind": "paper",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-18",
      "score": 0.5,
      "source": "arxiv-ai4math-core",
      "summary": "Australian women, gender-diverse individuals, and culturally and linguistically diverse (CALD) communities are often more susceptible to phishing and other forms of cybercrimes due to factors such as language barriers, limited access to cybersecurity education, and social isolation. These communities encounter substantial obstacles both entering and progressing in the cybersecurity field. In Australia, the Higher Education sector still leans heavily on a largely uniform cybersecurity curriculum, focusing heavily on technical proficiency, overlooking the vital impact of intersectionality and user-centered thinking for boosting student engagement and learning. Without gender inclusivity and proper consideration of intersectionality forms such as CALD, the workforce is deprived of the varied perspectives necessary to tackle today's intricate cybersecurity issues. In this study, we conducted semi-structured interviews with 15 experienced academics teaching and coordinating cyber security programs from a diverse range of Australian universities, covering all states, to explore their perspectives on: i) current strategies for addressing the women, gender-diverse and CALD perspective in cyber security education in the Australian HE sector; ii) barriers to incorporate women, gender-diverse and CALD perspective in cybersecurity curriculums in higher education; iii) future work and support that is needed. Our research highlights a lack of systematic methods for integrating intersectional perspectives into cybersecurity curriculums. In particular, we identified four key barriers and four areas where support and future efforts are needed to address this issue. Our findings offer vital insights that can substantially guide curriculum development in cybersecurity education.",
      "title": "Advancing Inclusivity in Cybersecurity Education: Integrating Intersectionality to Enhance Student Engagement in Australian Higher Education Curriculums Strategies, Barriers, and Future Directions",
      "updated": "2026-08-18",
      "url": "https://arxiv.org/abs/2608.17758"
    },
    {
      "age_days": 6,
      "arxiv_id": "2608.18362",
      "authors": [
        "Alexander Temerev"
      ],
      "content_date": "2026-08-18",
      "freshness": "fresh",
      "id": "arxiv:2608.18362",
      "kind": "paper",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-18",
      "score": 0.5,
      "source": "arxiv-ai4math-core",
      "summary": "A unit-speed searcher starts at the origin of the Euclidean plane and must hit an unknown straight line whose direction and distance from the origin are both unknown. We prove that every deterministic search path has competitive ratio at least $C_{\\log}\\approx 12.5937096701246675$. The bound is unconditional: the path need not be cyclic, self-similar, spiral-like, or monotone in angle. For each projection direction, we compare the path with a zigzag obtained by sorting its alternating record turns. The resulting completion constraints are interpreted as jobs with scale-dependent deadlines and lower-bounded through a finite-window scheduling argument in logarithmic time. Averaging these directional bounds then uses the exact Euclidean velocity budget. In one dimension, the same method recovers the optimal cow-path constant $9$. Finally, Arb ball arithmetic provides a rigorous numerical enclosure of the constant.",
      "title": "A new unconditional lower bound for shoreline search",
      "updated": "2026-08-18",
      "url": "https://arxiv.org/abs/2608.18362"
    },
    {
      "age_days": 7,
      "arxiv_id": "2608.16688",
      "authors": [
        "Ethan M. Alt",
        "Miheer Dewaskar",
        "Jacob M. Maronge",
        "Yuelin Lu",
        "Matthew A. Psioda"
      ],
      "content_date": "2026-08-17",
      "freshness": "fresh",
      "id": "arxiv:2608.16688",
      "kind": "paper",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-17",
      "score": 0.5,
      "source": "arxiv-ai4math-core",
      "summary": "Bayesian dynamic borrowing (BDB) methods leverage historical data to reduce treatment effect uncertainty, yet existing approaches rely on parametric outcome models susceptible to misspecification. We propose the nonparametric latent exchangeability prior (NP-LEAP), an outcome-agnostic, assumption-lean framework to borrow information from historical data. The NP-LEAP performs individual-level exchangeability assessment, inducing Bayesian model averaging over all possible partitions of the historical data into exchangeable and nonexchangeable subsets. Although applicable to a variety of data types with choice of appropriate kernel, the NP-LEAP is particularly well-suited for studies with time-to-event outcomes, where parametric BDB is potentially triply misspecified - imposing a parametric baseline hazard, the proportional hazards structure, and blanket exchangeability. We establish posterior consistency under mild regularity conditions. Simulation studies demonstrate favorable operating characteristics relative to parametric borrowing methods and nonborrowing semiparametric frequentist methods. We illustrate the method by augmenting the control arm in a randomized trial of patients with non-small cell lung cancer.",
      "title": "NP-LEAP: Nonparametric Latent Exchangeability Prior for Model-Lean Borrowing from Historical Data",
      "updated": "2026-08-17",
      "url": "https://arxiv.org/abs/2608.16688"
    },
    {
      "age_days": 7,
      "arxiv_id": "2608.16346",
      "authors": [
        "Timon Böhler",
        "Simon Daniel",
        "David Richter",
        "Pascal Weisenburger",
        "Mira Mezini"
      ],
      "content_date": "2026-08-17",
      "freshness": "fresh",
      "id": "arxiv:2608.16346",
      "kind": "paper",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-17",
      "score": 0.5,
      "source": "arxiv-ai4math-core",
      "summary": "Choreographic programming is a programming model for developing distributed applications where an entire communication protocol is written as a single program, which a compiler then projects to one process per participant. Choreographic programming abstracts over low-level network communication primitives such as sockets, and provides a high degree of safety guarantees with deadlock freedom ensured by construction. Mechanizing choreographies necessarily deals with both operations specific to distributed programming and standard (local) operations that also occur in non-distributed programs, as well as the typical issues of binding and substitution. We aim to sidestep the latter issues, thereby obtaining a more concise mechanization that focuses on the essential distributed aspects of choreographies. To this end, we use a method recently proposed by Thiemann to elegantly model deadlock-free processes in a dependently typed language: Using state transformers to represent the computations performed by each process. We bring the state transformer model to choreographies, allowing us to reduce the usual mechanization effort around binding and substitution, and to abstract over the details of the \"local\" aspects of the language. We mechanize in Lean a choreographic language that supports point-to-point communication, broadcasting, recursive procedures, and local stateful methods, allowing each participant to be assigned a different set of methods. We prove soundness and completeness of endpoint projection, establish deadlock freedom for the projected processes, prove confluence, and verify a Hoare logic for choreographies.",
      "title": "Mechanizing Choreographic Programs and Hoare Logic with State Transformers",
      "updated": "2026-08-17",
      "url": "https://arxiv.org/abs/2608.16346"
    },
    {
      "age_days": 7,
      "arxiv_id": "2608.17065",
      "authors": [
        "Hongru Zhao"
      ],
      "content_date": "2026-08-17",
      "freshness": "fresh",
      "id": "arxiv:2608.17065",
      "kind": "paper",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-17",
      "score": 0.5,
      "source": "arxiv-ai4math-core",
      "summary": "Anticoncentration is central to hardness arguments for approximate sampling. In the independent Gaussian surrogate for collision free Gaussian boson sampling, the moment ratio studied here also determines the averaged ideal linear cross entropy reference value. Let $H_{k,n}=\\mathrm{haf}(X^{\\mathsf T}X)$, where $X\\in\\mathbb{C}^{k\\times 2n}$ has independent standard circular complex Gaussian entries. We evaluate $\\mathbb{E}|H_{k,n}|^2$ and $\\mathbb{E}|H_{k,n}|^4$ exactly by reducing four hafnian copies to a rank two Gaussian integral. For $R_{k,n}=(\\mathbb{E}|H_{k,n}|^2)^2/\\mathbb{E}|H_{k,n}|^4$, we obtain $R_{k,n}=4^{-n}\\binom{2n}{n}/F_{k,n}$, where $F_{k,n}={}3F_2(-n,-n,1/2;1,k/2;1)$ is a terminating generalized hypergeometric polynomial. If $k/n^2\\to c>0$, then $F{k,n}\\to e^{1/c}I_0(1/c)$, where $I_0$ is the modified Bessel function of the first kind of order zero, and consequently $R_{k,n}\\sqrt{πn}\\to[e^{1/c}I_0(1/c)]^{-1}$. Thus $k\\asymp n^2$ is a smooth Bessel crossover, whereas the scaling order boundary for inverse polynomial weak anticoncentration is $k\\asymp n^2/\\log n$. These conclusions concern the Gaussian surrogate moment criterion; finite dimensional Haar moment transfer and high probability small ball anticoncentration remain separate problems.",
      "title": "Exact Moments of Gaussian Gram Hafnians Reveal an $n^2/\\log n$ Threshold for Weak Anticoncentration",
      "updated": "2026-08-17",
      "url": "https://arxiv.org/abs/2608.17065"
    },
    {
      "age_days": 8,
      "arxiv_id": "2608.15900",
      "authors": [
        "Dinh-Khiet Le",
        "Minh-Quyet Ha",
        "Hong-Phuc Vu-Dinh",
        "Takashi Miyake",
        "Hiori Kino",
        "Hieu-Chi Dam"
      ],
      "content_date": "2026-08-16",
      "freshness": "fresh",
      "id": "arxiv:2608.15900",
      "kind": "paper",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-16",
      "score": 0.5,
      "source": "arxiv-ai4math-core",
      "summary": "Data-driven materials discovery interpolates more reliably than it extrapolates and seldom reaches new structure types. We present MatEvolve, an agentic-AI framework designing crystals, proposing each candidate with a stated rationale and testing it. The agent reasons in an interpretable \\emph{language of motifs}, writing each crystal as a \\emph{motif profile} that describes the recurring geometric patterns---the \\emph{motifs}---composing it. The motif profile serves not merely as a description of a material but as the medium for material design: the agent edits the profile and constructs a crystal from the modified one, and the most promising candidates are validated by first-principles calculation. Applied to the design of rare-earth-lean permanent magnets, MatEvolve---built on the state-of-the-art language model Claude Fable~5 without fine-tuning---reaches new structural prototypes more than three times as often as generative models under an equal validation budget, at a comparable on-target-magnet rate. Beyond design, analysing the discovered crystals' human-readable profiles reveals structure--property relationships.",
      "title": "Crystal-structure design by agentic AI in a language of motifs",
      "updated": "2026-08-16",
      "url": "https://arxiv.org/abs/2608.15900"
    },
    {
      "age_days": 9,
      "arxiv_id": "2608.15318",
      "authors": [
        "Sanjit Singh Mehat"
      ],
      "content_date": "2026-08-15",
      "freshness": "fresh",
      "id": "arxiv:2608.15318",
      "kind": "paper",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-08-15",
      "score": 0.5,
      "source": "arxiv-ai4math-core",
      "summary": "An Euler magic matrix is an integer matrix M with MM^t = gamma I for some gamma != 0, whose squared entries sum to gamma along both main diagonals; it is proper if its squared entries are pairwise distinct. Euler gave a proper example of order 4; Müller settled orders 3 (none exists) and 8; and Kominers settled order 5. We give an order-6 construction, a case not addressed by Müller or Kominers, exhibiting a proper Euler magic matrix of order 6 with gamma = 18500 together with a second, independent one with gamma = 43290. The proof is the explicit matrix and a finite exact verification. We also record an elementary counting bound gamma >= 2485 for proper order-6 examples.",
      "title": "A proper Euler magic matrix of order 6",
      "updated": "2026-08-15",
      "url": "https://arxiv.org/abs/2608.15318"
    }
  ],
  "lookback_days": 21,
  "schema": "ai4math-radar-run-v1",
  "timezone": "America/Los_Angeles"
}
