{
  "counts": {
    "adjacent": 18,
    "core": 2,
    "errors": 0,
    "negative": 69,
    "total": 89
  },
  "date": "2026-09-21",
  "errors": [],
  "fresh_content_days": 21,
  "generated_at": "2026-09-21T20:05:58Z",
  "items": [
    {
      "age_days": 4,
      "arxiv_id": "2609.19814",
      "authors": [
        "Sirui Lu",
        "Ruixuan Deng",
        "Yanqiao Zhu",
        "Zhengfeng Ji"
      ],
      "content_date": "2026-09-17",
      "freshness": "fresh",
      "id": "arxiv:2609.19814",
      "kind": "paper",
      "label": "core",
      "matched_signals": [
        "autoformalization",
        "lean_formal_proving_agents"
      ],
      "published": "2026-09-17",
      "score": 6.5,
      "source": "arxiv-ai4math-core",
      "summary": "Landmark mathematical formalizations have taken specialist teams years to complete. We present FormalFlow, a system that coordinates AI proving agents under human supervision to address statement drift and proof composition in long-horizon formalization. Drawing on software engineering principles and practices, it uses a shared blueprint to guide nested planning, proving and review loops. Agents strengthen verification and review throughout formalization. We completed a machine-checked Lean 4 proof of the quantum soundness of the classical low individual-degree test, a core theorem underlying MIP* = RE. Developing the proof took 63 days; greater parallelism could further reduce this time. The final library contains 126,367 lines of Lean code, all generated by agents. The formalization corrects side conditions and intermediate errors while preserving the published final error bound under corrected assumptions. This work provides a verified foundation for quantum complexity and demonstrates a route to affordable verification of major research proofs by small teams.",
      "title": "Long-horizon autoformalization of a core theorem underlying MIP* = RE",
      "updated": "2026-09-17",
      "url": "https://arxiv.org/abs/2609.19814"
    },
    {
      "age_days": 5,
      "arxiv_id": "2609.19352",
      "authors": [
        "Robert Joseph George",
        "Will Adkisson",
        "Anima Anandkumar"
      ],
      "content_date": "2026-09-16",
      "freshness": "fresh",
      "id": "arxiv:2609.19352",
      "kind": "paper",
      "label": "core",
      "matched_signals": [
        "lean_formal_proving_agents",
        "mathlib_retrieval"
      ],
      "published": "2026-09-16",
      "score": 6.5,
      "source": "arxiv-ai4math-core",
      "summary": "We present FloatLib, a verified arbitrary-precision floating-point arithmetic library in Lean 4 that combines broad format coverage, machine-checked correctness, and efficient certified execution. To our knowledge, FloatLib is the first Lean library to unify IEEE binary and decimal arithmetic, arbitrary-width posits, P3109, and user-defined formats and rounding rules behind interchangeable certified software backends. Every certified backend is proved equal to a complete encoded specification, preserving signed zeros and exceptional values, while numerical theorems connect execution to real rounding, error bounds, and exactness. FloatLib combines exhaustive certified tables for small formats with verified word and limb kernels based on guard-and-sticky invariants and independently checked quotient candidates. Its posit development additionally proves standard rounding thresholds and exact quire accumulation within capacity for arbitrary widths. Across matched workloads, FloatLib achieves speedups of up to 1.46x over FLoPS and 116x over Universal, while remaining slower in some regimes such as binary arithmetic against MPFR. Independent conformance testing includes more than 102 million TestFloat evaluations with zero differences under the tested relation. We release the library, proofs, benchmarks, evaluation data, and guide as open source.",
      "title": "FloatLib: Verified Floating-Point Arithmetic in Lean",
      "updated": "2026-09-16",
      "url": "https://arxiv.org/abs/2609.19352"
    },
    {
      "age_days": 5,
      "arxiv_id": "2609.19126",
      "authors": [
        "Teng Zhang"
      ],
      "content_date": "2026-09-16",
      "freshness": "fresh",
      "id": "arxiv:2609.19126",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "general_ai_math_reasoning",
        "lean_formal_proving_agents"
      ],
      "published": "2026-09-16",
      "score": 4.9,
      "source": "arxiv-ai4math-core",
      "summary": "Very recently, Lech Mazur proved the celebrated Sendov conjecture, and Terence Tao subsequently distilled the main ideas of the proof in a blog post. In this paper, we establish a quantitative strengthening of Sendov's conjecture, namely the quadratic Tang--Zhang inequality. Let $p$ be a polynomial of degree $n\\ge2$ whose zeros lie in the closed unit disk, and let $ζ_1,\\ldots,ζ_{n-1}$ denote its critical points, counted with multiplicity. We prove that, for every zero $a$ of $p$, $$ \\sum_{j=1}^{n-1}\\frac{1}{|a-ζ_j|^2}\\ge n-1. $$ Moreover, equality holds if and only if $p(z)=c(z^n-ω)$ for some $c\\in\\mathbb C\\setminus\\{0\\}$ and $|ω|=1$. We also provide a Lean 4 formalization of the main results.",
      "title": "Beyond Sendov's conjecture: the quadratic Tang--Zhang inequality",
      "updated": "2026-09-16",
      "url": "https://arxiv.org/abs/2609.19126"
    },
    {
      "age_days": 6,
      "arxiv_id": "2609.19195",
      "authors": [
        "Cameron Beeley"
      ],
      "content_date": "2026-09-15",
      "freshness": "fresh",
      "id": "arxiv:2609.19195",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "general_ai_math_reasoning",
        "lean_formal_proving_agents"
      ],
      "published": "2026-09-15",
      "score": 4.9,
      "source": "arxiv-ai4math-core",
      "summary": "For a finite simple graph G, let alpha(G) denote its independence number and let l_avg(G) = (1 / |V(G)|) sum_{v in V(G)} alpha(G[N_G(v)]) be the average independence number of its open neighbourhoods. Written on the Wall II Conjecture 194 asserts that every simple connected graph on n > 1 vertices satisfying alpha(G) <= 1 + l_avg(G) has a Hamiltonian path. We give a four-parameter family of counterexamples. Its principal two-parameter subfamily satisfies the proposed inequality with equality: for every pair of integers s >= 1 and t >= 3 it has (s + 1)t^2 vertices, independence number t + 1, l_avg(G) = t, and minimum degree s, but has no Hamiltonian path. This entire infinite subfamily is machine-checked in Lean 4: one universally quantified theorem certifies its order, connectivity, independence number, average neighbourhood independence, minimum degree, conjecture hypothesis, and failure of traceability. Thus no fixed lower bound on the minimum degree repairs the conjecture. The case (s,t) = (1,3) has 18 vertices, but the formal certificate is parametric rather than a verification of that one graph alone.",
      "title": "Lean-Certified Infinite Counterexamples to Written on the Wall II Conjecture 194",
      "updated": "2026-09-15",
      "url": "https://arxiv.org/abs/2609.19195"
    },
    {
      "age_days": 3,
      "arxiv_id": "2609.22075",
      "authors": [
        "Jake Gonzales",
        "Arturo Flores Alvarez",
        "Yu-Ming Chen",
        "Aaron D. Ames",
        "Lillian J. Ratliff",
        "Manikantan Nambi"
      ],
      "content_date": "2026-09-18",
      "freshness": "fresh",
      "id": "arxiv:2609.22075",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "verifier_guided_reasoning"
      ],
      "published": "2026-09-18",
      "score": 3.5,
      "source": "arxiv-ai4math-core",
      "summary": "Safe whole-body control requires coordinating collision avoidance and balance under high-dimensional, nonlinear dynamics--making safety certificates difficult to design and reuse across behaviors. We present LIMBO, a framework for synthesizing a state-action control barrier function and distilling its safety structure into a task policy. LIMBO learns the safety certificate from black-box transitions and a state-based failure specification over residual actions around a frozen base controller, making Q-CBF synthesis tractable in the full control dimension while placing the certificate in the task policy's control space. During synthesis, the learned safety value drives risk-guided sampling near the estimated boundary of recoverability; during task learning, it serves as a teacher that provides action-level safety feedback, yielding a robust task policy and alleviating the need for an online safety filter at deployment. We demonstrate LIMBO on a 29-degree-of-freedom humanoid performing dodgeball avoidance and locomotion beneath low obstacles. Beyond scaling learned Q-CBFs to whole-body control, we show that risk-guided boundary sampling provides a theoretically grounded way to explore the edge of recoverability. Under the same safety specification, ceteris paribus, varying the sampling concentration produces strategies ranging from crouching to a novel backward-leaning limbo maneuver. In both settings, the learned policies transfer to hardware without online safety filtering, showing that learned safety synthesis scales to agile whole-body control.",
      "title": "LIMBO: Learning and Internalizing Model-Free Barrier Objectives for Agile and Safe Whole-Body Control",
      "updated": "2026-09-18",
      "url": "https://arxiv.org/abs/2609.22075"
    },
    {
      "age_days": 3,
      "arxiv_id": "2609.21968",
      "authors": [
        "Ethan Keller"
      ],
      "content_date": "2026-09-18",
      "freshness": "fresh",
      "id": "arxiv:2609.21968",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "lean_formal_proving_agents"
      ],
      "published": "2026-09-18",
      "score": 3.5,
      "source": "arxiv-ai4math-core",
      "summary": "Moser's worm problem asks for a planar region of least area containing a congruent copy of every unit arc. We show that the infimum area $α$ among convex universal covers satisfies $0.239\\leα\\le0.24633\\ldots$, reducing the gap between the previous refereed bounds by over $75\\%$. For the lower bound, we choose four unit polygonal arcs and prove by finite subdivision that, however they are placed, their convex hull has area at least $0.239$. For the upper bound, we construct a quadrilateral of area $0.24633\\ldots$ and prove cover universality by showing that its support inequalities force uncovered arcs to have length greater than one. The full proof is formalized in Lean 4 and verified by the Lean kernel. Code and certificates are available at https://github.com/ethan-keller/moser-worm-improved-bounds.",
      "title": "Improved bounds for universal convex covers of unit arcs",
      "updated": "2026-09-18",
      "url": "https://arxiv.org/abs/2609.21968"
    },
    {
      "age_days": 3,
      "arxiv_id": "2609.22054",
      "authors": [
        "Askar Tsyganov",
        "Uliana Parkina",
        "Sergey Samsonov",
        "Maxim Rakhuba"
      ],
      "content_date": "2026-09-18",
      "freshness": "fresh",
      "id": "arxiv:2609.22054",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "lean_formal_proving_agents"
      ],
      "published": "2026-09-18",
      "score": 3.5,
      "source": "arxiv-ai4math-core",
      "summary": "We prove that, over any field, the bilinear complexity of multiplying a $3\\times 2$ matrix by a $2\\times m$ matrix is strictly greater than $24m/5$. In particular, every exact bilinear algorithm for multiplying a $3\\times 2$ matrix by a $2\\times 5$ matrix requires at least $25$ multiplications. Together with the Hopcroft-Kerr upper bound, this proves that the $\\langle 3,2,5\\rangle$ matrix multiplication tensor has rank exactly $25$. The proof has been formally verified in Lean 4, with the formalization available at https://github.com/fallnlove/mm325_proof.",
      "title": "A lower bound for $\\langle 3,2,m \\rangle$ matrix multiplication",
      "updated": "2026-09-18",
      "url": "https://arxiv.org/abs/2609.22054"
    },
    {
      "age_days": 4,
      "arxiv_id": "2609.20492",
      "authors": [
        "Maseeh Ghodsi"
      ],
      "content_date": "2026-09-17",
      "freshness": "fresh",
      "id": "arxiv:2609.20492",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "lean_formal_proving_agents"
      ],
      "published": "2026-09-17",
      "score": 3.5,
      "source": "arxiv-ai4math-core",
      "summary": "A Leech tree of order $n$ is a tree with positive integral edge weights whose $n(n-1)/2$ pairwise weighted distances are precisely $1,2,\\ldots,n(n-1)/2$. This paper gives a computer-assisted proof that no Leech tree of order $18$ exists. The argument has three layers. First, a development in Lean 4 verifies the structural facts used in the paper. These facts reduce every putative example to one of eight local configurations and justify several necessary conditions. Second, conventional mathematical arguments prove a component-pair whole-block exact-cover condition and the completeness of a recursive search. Third, exhaustive computations close all eight configurations. The computation records exact coverage, source and input hashes, terminal receipts, and checked exact-zero results. The structural layer is kernel-checked, but the search program, its execution, and the certificate checker have not been formalized in Lean. The result is therefore a computer-assisted proof, not an end-to-end Lean proof.",
      "title": "Nonexistence of a Leech Tree of Order 18: A Computer-Assisted Proof",
      "updated": "2026-09-17",
      "url": "https://arxiv.org/abs/2609.20492"
    },
    {
      "age_days": 4,
      "arxiv_id": "2609.19583",
      "authors": [
        "Chunhao Liao",
        "Hongxu Xu",
        "Xintong Zhou",
        "Yizhou Zhang",
        "Chengnian Sun"
      ],
      "content_date": "2026-09-17",
      "freshness": "fresh",
      "id": "arxiv:2609.19583",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "verifier_guided_reasoning"
      ],
      "published": "2026-09-17",
      "score": 3.5,
      "source": "arxiv-ai4math-core",
      "summary": "LLVM is the cornerstone of modern compilers, but its subtle intermediate representation (IR) semantics make transformations error-prone and necessitate formal verification. Alive2, a state-of-the-art translation validator based on satisfiability modulo theories, has achieved substantial success in automating the validation of LLVM transformations. However, it still faces scalability limitations, does not support symbolic bitwidths, and offers only bounded guarantees for loops. In contrast, interactive theorem provers such as Lean can address these cases but require substantial proof engineering. In this paper, we present Trivet, a framework combining large language models (LLMs) and Lean for automated translation validation of LLVM transformations. Trivet generates structured proof scaffolds based on source and target functions, automatically discharges obligations amenable to deterministic reasoning, and delegates transformationspecific obligations to LLMs. It produces refinement proofs or counterexample-based refutations, with every successful verdict checked by the Lean kernel. On 148 LLVM transformations, Trivet verifies or refutes 147, leaving one invalid case unresolved. Successful cases include 60 loop-free transformations with symbolic bitwidths, 27 cases from a restricted class of loop-containing transformations, and 10 complex valid fixed-bitwidth cases on which Alive2 times out. Compared with an unscaffolded baseline, scaffolding enables 26 additional proofs. On cases solved by both configurations, it reduces mean proof time by 75.9% and mean monetary cost by 88%.",
      "title": "LLVM Translation Validation Automated with Large Language Models and Lean",
      "updated": "2026-09-17",
      "url": "https://arxiv.org/abs/2609.19583"
    },
    {
      "age_days": 4,
      "arxiv_id": "2609.21093",
      "authors": [
        "Nameer Fawwaz Ahmed",
        "Cody Fleming",
        "Yasser Shoukry"
      ],
      "content_date": "2026-09-17",
      "freshness": "fresh",
      "id": "arxiv:2609.21093",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "lean_formal_proving_agents"
      ],
      "published": "2026-09-17",
      "score": 3.5,
      "source": "arxiv-ai4math-core",
      "summary": "As Urban Air Mobility (UAM) systems scale toward high-density operations, managing autonomous Unmanned Aerial Vehicle (UAV) traffic requires control frameworks that are both tractable and safety-critical. This paper presents a principled optimal control-theoretic foundation for routing in multi-destination UAM networks subject to vertiport capacity and flow constraints. We first model the network as a destination-conditioned Continuous-Time Markov Chain (CTMC) to capture the stochastic transitions between queueing, service, and flight states. To ensure tractability, we employ a mean-field fluid approximation and derive the underlying system dynamics as a set of coupled ordinary differential equations. A key contribution of this work is the formal proof of the positive invariance of the queue-free state space. We demonstrate that under specific underloaded conditions, a system initialized without queues will remain queue-free indefinitely. This result allows us to transform a complex, infinite-dimensional continuous-time optimal control problem into a tractable, finite-dimensional algebraic optimization. The resulting framework jointly optimizes for travel time and multi-hop efficiency while ensuring network-wide stability. We validate the approach by characterizing the steady-state flow equilibria and providing sufficient conditions for safe, congestion-free operation in large-scale mobility systems.",
      "title": "A Mean-Field Approach for Safe Routing of Multi-Destination Urban Air Mobility Networks",
      "updated": "2026-09-17",
      "url": "https://arxiv.org/abs/2609.21093"
    },
    {
      "age_days": 5,
      "arxiv_id": "2609.18261",
      "authors": [
        "Pierre Senellart",
        "Anton Gnatenko"
      ],
      "content_date": "2026-09-16",
      "freshness": "fresh",
      "id": "arxiv:2609.18261",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "mathlib_retrieval"
      ],
      "published": "2026-09-16",
      "score": 3.5,
      "source": "arxiv-ai4math-core",
      "summary": "We show that descriptive complexity can serve as a foundation for formalizing computational complexity results in a proof assistant, by constructing a Lean library centered around the following concepts: decision problems are isomorphism-invariant predicates on finite structures; complexity classes are defined by their logical characterization; membership is shown by definability witnesses; hardness is shown by first-order reductions from a known hard problem. We also establish bridges to traditional machine models such as (non)deterministic Turing machines. The library proves 73 completeness results, on 68 problems or problem families, over 14 different classes; relations between the classes established inside the logic and not by machine simulation, among them NL = coNL and the Abiteboul-Vianu theorem; and unconditional lower bounds, among them $\\mathrm{FO}(\\leq) \\subsetneq \\mathrm{FO}(\\leq, \\mathrm{TC})$ and the failure of order-free FO(IFP) to capture PTIME.",
      "title": "Descriptive Complexity in Lean: Completeness by First-Order Reductions",
      "updated": "2026-09-16",
      "url": "https://arxiv.org/abs/2609.18261"
    },
    {
      "age_days": 5,
      "arxiv_id": "2609.19214",
      "authors": [
        "Ioannis Tsiokos"
      ],
      "content_date": "2026-09-16",
      "freshness": "fresh",
      "id": "arxiv:2609.19214",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "lean_formal_proving_agents"
      ],
      "published": "2026-09-16",
      "score": 3.5,
      "source": "arxiv-ai4math-core",
      "summary": "Socolar and Taylor asked for a single, simply connected three-dimensional prototile that forces nonperiodicity by shape alone, admitting no weakly nonperiodic tiling; the Schmitt-Conway-Danzer biprism and the three-dimensional Socolar-Taylor tile admit screw motions or a periodic stacking direction. We exhibit a rational polyhedral $3$-ball $Q$, which we call Chair44 (R44): a seven-cube chair whose $24$ exposed unit panels carry tiny square-pyramid features, and prove, as a proof submission, that $Q$ admits tilings of $\\mathbb{R}^3$ by congruent copies, reflections allowed, and that every such tiling has no translational period and a symmetry group of order at most $24$; every tiling is homochiral and carries a unique infinite hierarchy of nested supertiles. The solid was designed to a reading of the aperiodic-monotile phenomenon reached with the Six Birds emergence calculus (Section 3.3), and the construction turns on a single finite test, checked by machine: the tile's own contact rule survives coarsening, so that the decoded parent tiling obeys the tile's rule and no other. The proof combines a written geometric argument, that the features force every tiling onto a registered lattice, with exhaustive finite enumerations; the companion census is replayed by two independent implementations, every finite gate is kernel-checked in Lean 4 (modulo a named compiler hook per native_decide theorem), and the written geometric lemmas and the logical assembly are Lean theorems as well, so that the theorem is kernel-checked modulo the named compiler hooks; the written proofs remain as exposition.",
      "title": "A Strongly Aperiodic Monotile in Three Dimensions",
      "updated": "2026-09-16",
      "url": "https://arxiv.org/abs/2609.19214"
    },
    {
      "age_days": 3,
      "arxiv_id": "2609.21950",
      "authors": [
        "Shaosai Huang"
      ],
      "content_date": "2026-09-18",
      "freshness": "fresh",
      "id": "arxiv:2609.21950",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "general_ai_math_reasoning"
      ],
      "published": "2026-09-18",
      "score": 1.9,
      "source": "arxiv-ai4math-core",
      "summary": "LeBrun's Kähler realization $g_m$ of the Taub--NUT metric on $\\mathbb{C}^2$ is complete, Ricci-flat and not flat. Loi, Zedda and Zuddas proved that no multiple $αg_m$ admits a Kähler immersion into a finite- or infinite-dimensional complex projective space when $m>α/2$, and conjectured that the same holds for every $m>0$. We prove the conjecture. The restriction of the Kähler potential to the axis $z_2=0$ is governed by the Lambert $W$ function, so $\\exp(αΦ_m)$ has a finite radius of convergence as a power series in $|z_1|^2$ although it is real analytic on the whole half-line; the Vivanti--Pringsheim theorem forbids nonnegative Taylor coefficients, and Calabi's criterion fails. We state the mechanism, which Arezzo, Loi, Placini and Zedda recently used for radial metrics, as a general obstruction to Kähler immersions. In statistical terms the axis restriction of $g_m$ would be a natural exponential family with mean domain $(0,\\infty)$ and variance function $μ/(1+2mμ)$; the argument gives an elementary proof of the known fact, due to Bar-Lev, Bshouty and Enis, that no such family exists with variance function $μ/(1+cμ)$ for any $c>0$. The result confirms onemore case of the conjecture of Loi, Salis and Zuddas that Ricci-flat projectively induced Kähler metrics are flat. The analytic core of the proof has been machine-checked in Lean~4.",
      "title": "The Taub-NUT Metric Is Not Projectively Induced",
      "updated": "2026-09-18",
      "url": "https://arxiv.org/abs/2609.21950"
    },
    {
      "age_days": 4,
      "arxiv_id": "2609.20567",
      "authors": [
        "Yifeng Huang",
        "Kenny Lau",
        "Ken Ono"
      ],
      "content_date": "2026-09-17",
      "freshness": "fresh",
      "id": "arxiv:2609.20567",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "general_ai_math_reasoning"
      ],
      "published": "2026-09-17",
      "score": 1.9,
      "source": "arxiv-ai4math-core",
      "summary": "We prove the conjecture of Huang, Jiang, and Oblomkov (HJO) giving a geometric extension of the Rogers--Ramanujan and Andrews--Gordon identities for every torus-knot singularity $X^a=Y^b$ with coprime $1<a<b.$ For a prime power $q$, let $\\mathcal{NC}_n^{a,b}(\\mathbb F_q)$ denote the set of pairs of commuting nilpotent $n\\times n$ matrices $(A,B)$ over $\\mathbb F_q$ satisfying $A^a=B^b$. We establish the threefold equality between their normalized counts, the HJO $q$-series $Z_{a,b}$, and the explicit infinite product $P_{a,b}$: \\[ \\underbrace{\\vphantom{\\Bigg|} \\prod_{m\\geq1}(1-q^{-m}) \\Biggl(\\sum_{n=0}^{\\infty} \\frac{\\lvert\\mathcal{NC}_n^{a,b}(\\mathbb F_q)\\rvert} {\\lvert\\operatorname{GL}_n(\\mathbb F_q)\\rvert}\\Biggr) }_{\\text{point count}} = \\underbrace{\\vphantom{\\Bigg|}Z_{a,b}(q^{-1}) }_{\\text{\\(q\\)-series}} = \\underbrace{\\vphantom{\\Bigg|}P_{a,b}(q^{-1}) }_{\\text{infinite product}}. \\] Our main result is a stronger finite identity: the rank $N$ HJO sum equals $(q;q)_N$ times the generating function for balanced cylindric partitions with entries bounded by $N$. Taking $N\\to\\infty$ yields the HJO conjecture. The proof combines the compositional rational shuffle theorem of Bergeron--Garsia--Leven--Xin and Mellit with a multiplicativity theorem for slope operators and a determinantal model for bounded cylindric partitions, linked by a common $q$-difference equation. The finite identity and the HJO conjecture have been formalized in Lean by AxiomProver, conditional on two stated literature inputs.",
      "title": "Rogers--Ramanujan identities from the geometry of $X^a=Y^b$",
      "updated": "2026-09-17",
      "url": "https://arxiv.org/abs/2609.20567"
    },
    {
      "age_days": 4,
      "arxiv_id": "2609.19728",
      "authors": [
        "Yinfeng Zhu"
      ],
      "content_date": "2026-09-17",
      "freshness": "fresh",
      "id": "arxiv:2609.19728",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "general_ai_math_reasoning"
      ],
      "published": "2026-09-17",
      "score": 1.9,
      "source": "arxiv-ai4math-core",
      "summary": "We prove that a path maximizes the expected range of a uniformly chosen graph homomorphism into the integers, with one vertex pinned at zero, among all connected bipartite graphs of the same order. This establishes the expectation form of the Benjamini--Häggström--Mossel conjecture. The proof restricts and rescales a homomorphism on each bipartition class, then contracts the edges on which the resulting height function is constant. A quantitative estimate for the rank of these zero edges compensates for a parity term in the expected range of a simple random walk, allowing an induction on the number of vertices. We then prove that the BHM inequality implies the Loebl--Ne\\v set\\v ril--Reed inequality for uniformly chosen integer 1-Lipschitz functions on arbitrary connected graphs, and hence obtain the LNR conjecture as a corollary of BHM. The proof was obtained through interaction with OpenAI GPT-6 Astra and verified by the author. The main results have also been formalized and checked in Lean~4.",
      "title": "Paths maximize the expected range of graph-indexed random walks",
      "updated": "2026-09-17",
      "url": "https://arxiv.org/abs/2609.19728"
    },
    {
      "age_days": 4,
      "arxiv_id": "2609.20690",
      "authors": [
        "Julius A. Zeiss"
      ],
      "content_date": "2026-09-17",
      "freshness": "fresh",
      "id": "arxiv:2609.20690",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "general_ai_math_reasoning"
      ],
      "published": "2026-09-17",
      "score": 1.9,
      "source": "arxiv-ai4math-core",
      "summary": "Godsil, Roberson, Šámal and Severini conjectured that the quantum chromatic number of the categorical product of two graphs equals the minimum of the quantum chromatic numbers of the factors. We disprove this conjecture: we construct explicit finite graphs $G,H$ with \\[ χ(G\\times H) \\leq 1538 < 1539 = \\min(χ_q(G),χ_q(H)).\\]The graphs are obtained from Zhu's counterexample to Hedetniemi's conjecture by using a base graph for which the Lovász theta number of the complement, and not only the fractional chromatic number, is large. The lower bound for the first factor is the theta bound. For the second factor we adapt Zhu's argument to projections that do not commute: the step that fixes the colors of a clique is replaced by identities between operators. Both lower bounds hold for colorings by projections in an arbitrary nonzero unital $C^*$-algebra. Hence the conjecture also fails for the spatial, approximate, commuting-operator and $C^*$-algebraic variants of the quantum chromatic number. We also give smaller counterexamples certified by exact integer data. The graph constructions, the certificates and the counterexample statements in the projective formulation are formalized in Lean~4.",
      "title": "A counterexample to the quantum Hedetniemi conjecture",
      "updated": "2026-09-17",
      "url": "https://arxiv.org/abs/2609.20690"
    },
    {
      "age_days": 5,
      "arxiv_id": "2609.18879",
      "authors": [
        "Ken Ono",
        "Ashvin Swaminathan"
      ],
      "content_date": "2026-09-16",
      "freshness": "fresh",
      "id": "arxiv:2609.18879",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "general_ai_math_reasoning"
      ],
      "published": "2026-09-16",
      "score": 1.9,
      "source": "arxiv-ai4math-core",
      "summary": "Browning and Sawin conjectured that random hypersurfaces with sign coefficients are smooth with probability tending to one as the degree grows. We prove this conjecture and obtain a quantitative bound. For each $n\\geq1$, a degree $d$ form in $n+1$ variables, with independent uniform coefficients in $\\{-1,1\\}$, defines a singular complex hypersurface with probability $O_n(d^{-1/2})$. The positive-dimensional singular loci occur with exponentially small probability. For $n\\geq3$, the same exponential bound holds for failure of absolute irreducibility. These results have been formalized in Lean by AxiomProver assuming existing literature.",
      "title": "On a conjecture of Browning and Sawin on random hypersurfaces with sign coefficients",
      "updated": "2026-09-16",
      "url": "https://arxiv.org/abs/2609.18879"
    },
    {
      "age_days": 5,
      "arxiv_id": "2609.18913",
      "authors": [
        "Tarun Kathuria"
      ],
      "content_date": "2026-09-16",
      "freshness": "fresh",
      "id": "arxiv:2609.18913",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "general_ai_math_reasoning"
      ],
      "published": "2026-09-16",
      "score": 1.9,
      "source": "arxiv-ai4math-core",
      "summary": "\\cite{mss2015} proved Weaver's discrepancy result existentially, resolving the Kadison--Singer conjecture . Finding such signs efficiently for general inputs remained an open algorithmic question. In the real-arithmetic model, we give a deterministic algorithm running in polynomial time with discrepancy at most $35\\sqrt\\varepsilon$. The algorithm walks from the origin of the hypercube to a vertex, fixing coordinates as they hit a face. Its potential measures a soft spectral edge of the discrepancy matrix perturbed by an operator-valued free semicircular element. The perturbation's covariance vanishes as the coefficients reach their endpoints. Inspired by the free interpolation approach of Bandeira, Boedihardjo, and van Handel \\cite{bbvh2023}, we combine Lehner's variational formula \\cite{lehner1999} with spectral Tsallis--$1/2$ regularization used in \\cite{allenZhuLiaoOrecchia2015} and \\cite{pesentivladu2026}. The resulting potential has a finite-dimensional SDP formulation, allowing the discrepancy and remaining covariance to be analyzed together. We analyze the optimizer's stability through the linearized Karush--Kuhn--Tucker (KKT) system of a regularized min--max problem, whose stationarity equations are related to the matrix Dyson equation \\cite{erdos2019}. This gives the movement rule: either a coordinate can move toward its nearer endpoint at small spectral cost, or a low-curvature direction orthogonal to the current coefficient vector allows further progress. Choosing the better sign of this direction controls discrepancy while increasing the squared distance from the origin. Upcoming work \\cite{kathuria2026higherRank} will address higher-rank Kadison-Singer and spectrally thin trees. Lean formalizations of our main discrepancy theorems have been completed and will be released shortly.",
      "title": "A Walk From Free Probability to Matrix Discrepancy II: Weaver's Problem and the Kadison-Singer Conjecture",
      "updated": "2026-09-16",
      "url": "https://arxiv.org/abs/2609.18913"
    },
    {
      "age_days": 5,
      "arxiv_id": "2609.18914",
      "authors": [
        "Tarun Kathuria"
      ],
      "content_date": "2026-09-16",
      "freshness": "fresh",
      "id": "arxiv:2609.18914",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "general_ai_math_reasoning"
      ],
      "published": "2026-09-16",
      "score": 1.9,
      "source": "arxiv-ai4math-core",
      "summary": "The Matrix Spencer conjecture asks whether any $n$ real symmetric matrices A_1,...,A_n \\in \\mathbb{R}^{m \\times m} of operator norm at most one admit a signing $x\\in\\{-1,1\\}^n$ such that the operator norm of the signed sum is at most O(\\sqrt{n \\log(2m/n)}) We give a randomized algorithm establishing this bound with polynomial runtime in the real-arithmetic model. We first prove the $O(\\sqrt n)$ bound for $m\\le n$, resolving the square case, and then obtain the rectangular bound by changing the regularizer. As in earlier algorithmic discrepancy methods \\cite{lovettmeka2012,bansalLaddhaVempala2022,pesentivladu2026}, we run a covariance-controlled random walk from the origin of the hypercube, rounding coordinates near its faces and keeping them fixed. Our potential measures a soft spectral edge of the evolving discrepancy matrix perturbed by an operator-valued free semicircular element. Inspired by the free interpolation approach of \\cite{bbvh2023}, we combine Lehner's variational formula for the free edge \\cite{lehner1999} with spectral Tsallis regularization \\cite{allenZhuLiaoOrecchia2015,pesentivladu2026}. This puts the discrepancy and remaining covariance in a single smooth optimization problem. The potential has a finite-dimensional semidefinite formulation. Stability of its optimizer, governed by equations related to the matrix Dyson equation \\cite{erdos2019}, lets us find a large subspace in which to move while controlling discrepancy. The square case uses the Tsallis--$1/2$ regularizer; the rectangular case uses a suitable generalized Tsallis power regularizer. Our companion paper \\cite{kathuria2026ks} applies these ideas to give an algorithmic proof of Weaver's discrepancy theorem, whose existence proof by [MSS15] resolved the Kadison--Singer conjecture \\cite{mss2015}.Lean formalizations of our main discrepancy theorems have been completed and will be released shortly.",
      "title": "A Walk From Free Probability to Matrix Discrepancy I: Matrix Spencer",
      "updated": "2026-09-16",
      "url": "https://arxiv.org/abs/2609.18914"
    },
    {
      "age_days": 4,
      "arxiv_id": "2609.19969",
      "authors": [
        "DeepSeek-AI",
        ":",
        "Anyi Xu",
        "B. Li",
        "Bangcai Lin",
        "Bing Xue",
        "BingCheng Xian",
        "Bingzheng Xu",
        "Bochao Wu",
        "Bowei Zhang",
        "Boyi Deng",
        "C. C. Yu",
        "Chao Jin",
        "Chaofan Lin",
        "Chen Dong",
        "Chenbing Wang",
        "Chenfan Feng",
        "Chengda Lu",
        "Chenggang Zhao",
        "Chengqi Deng",
        "Chengyuan Zhang",
        "Chenhao Xu",
        "Chenqi Zhao",
        "Chenze Shao",
        "Chuhao Wang",
        "Chuqi Zhang",
        "Damai Dai",
        "Dejian Yang",
        "Deli Chen",
        "Di Huang",
        "Di Wu",
        "Donghao Li",
        "Erhang Li",
        "Eric Fu",
        "F. Zhou",
        "Fangwei Zhou",
        "Fangyun Lin",
        "Fangzhou Yuan",
        "Feiyu Xia",
        "Fucong Dai",
        "Guangbo Hao",
        "Guanglin Li",
        "Guanting Chen",
        "Guoai Cao",
        "Guofan Fan",
        "Guolai Meng",
        "Guowei Li",
        "Haichuan Zhang",
        "Haiyang Ma",
        "Haiyang Shen",
        "Han Li",
        "Han Yu",
        "Han Zhang",
        "Hangyuan Deng",
        "Hanwei Xu",
        "Hanxiang Xu",
        "Hanxun Zhong",
        "Hao Guo",
        "Hao Jiang",
        "Hao Li",
        "Hao Qin",
        "Haodong Wen",
        "Haofen Liang",
        "Haofeng Huang",
        "Haohua Liu",
        "Haoling Zhang",
        "Haoming Luo",
        "Haoran Yang",
        "Haotian Xu",
        "Haotian Yuan",
        "Haoting Huang",
        "Haowen Luo",
        "Haoyang Cai",
        "Haoyu Chen",
        "Haozhe Ji",
        "Hengran Zhang",
        "Hengrui Wang",
        "Hengxu Wu",
        "Honghui Ding",
        "Hongxuan Tang",
        "Huadong Wang",
        "Huanqi Cao",
        "Huazuo Gao",
        "Hui Qu",
        "Hui Zeng",
        "J. Yang",
        "J. H. Jin",
        "J. H. Zhang",
        "J. X. Zou",
        "Jia Yu",
        "Jiahui Zhou",
        "Jiajun Chen",
        "Jialiang Huang",
        "Jialin Zhao",
        "Jiamin Tang",
        "Jian Zhou",
        "Jianan Tong",
        "Jianwen Li",
        "Jiaqi Zhu",
        "Jiarui Wang",
        "Jiasheng Ye",
        "Jiashi Li",
        "Jiaxin Xu",
        "Jiaying Ding",
        "Jibai Lu",
        "Jiewen Hu",
        "Jin Yan",
        "Jincheng Zhai",
        "Jingchang Chen",
        "Jingcheng Hu",
        "Jingli Zhou",
        "Jingsheng Xu",
        "Jingting Xiang",
        "Jingyan Yun",
        "Jingyang Yuan",
        "Jingyuan Cheng",
        "Jinhua Zhu",
        "Jinpeng Wang",
        "Jinyi Chen",
        "Jinyi Hu",
        "Jiping Yu",
        "Jueliang Guo",
        "Junbo Pei",
        "Junbo Sun",
        "Junguang Jiang",
        "Junjie Qiu",
        "Junkang Zhou",
        "Junqi Liu",
        "Junren Li",
        "Junxian Li",
        "Junxiao Song",
        "Junyi Guo",
        "Kai Dong",
        "Kaifeng Chen",
        "Kaige Gao",
        "Kang Guan",
        "Kangdong Yuan",
        "Ke Hong",
        "Ke Xu",
        "Kefan Zhao",
        "Kexin Ji",
        "Kexin Zhang",
        "Kexing Zhou",
        "Kuai Yu",
        "Lan Zhang",
        "Lean Wang",
        "Lecong Zhang",
        "Lei Wang",
        "Letian Gao",
        "Liang Zhao",
        "Liansheng Xu",
        "Lihua Guo",
        "Lingxiao Luo",
        "Lingyue Fu",
        "Litao Deng",
        "Litong Wang",
        "Liyue Zhang",
        "Longhao Chen",
        "Lu Chen",
        "Luotian Huang",
        "Luyao Ma",
        "Luyao Wang",
        "M. S. Di",
        "Max Mei",
        "Menghao Ye",
        "Miao Cui",
        "Mingchuan Zhang",
        "Minghua Zhang",
        "Minghui Tang",
        "Mingjing Zhang",
        "Mingqi Wei",
        "Mingshu Chen",
        "Mingxing Liu",
        "Mingxu Zhou",
        "Mingyu Xu",
        "Mingyu Yang",
        "Mingze Wang",
        "Muyang Chen",
        "Ni Shentu",
        "Ning Wang",
        "Niufang Ning",
        "Panpan Huang",
        "Peixin Cong",
        "Peiyi Wang",
        "Peiyuan Xin",
        "Pengfei Ren",
        "Pengfei Yan",
        "Pengle Zhang",
        "Qi Kang",
        "Qi Tang",
        "Qiancheng Wang",
        "Qiang Li",
        "Qihao Zhu",
        "Qingyang Li",
        "Qinyu Chen",
        "Qiushi Du",
        "Qizhou Guo",
        "Rongxian Xu",
        "Rui Ding",
        "Rui Hu",
        "Rui Tian",
        "Rui Yu",
        "Ruidong Zhu",
        "Ruifan Xu",
        "Ruihan Yang",
        "Ruihang Xia",
        "Ruijie Lu",
        "Ruilin Geng",
        "Ruipeng Hong",
        "Ruiqi Ge",
        "Ruisong Zhang",
        "Ruize Sun",
        "Ruizhe Pan",
        "Runji Wang",
        "Runqian Chen",
        "Runxin Xu",
        "Ruohong Tian",
        "Ruomeng Shen",
        "Ruoyu Zhang",
        "Ryan X.",
        "S. H. Liu",
        "Shanghao Lu",
        "Shangyan Zhou",
        "Shanhuang Chen",
        "Shaofei Cai",
        "Shaoheng Nie",
        "Shaoyuan Chen",
        "Shengding Hu",
        "Shengkai Lin",
        "Shengwen Ran",
        "Shengyu Liu",
        "Shengyuan Jia",
        "Shi Bai",
        "Shi Feng",
        "Shicheng Xu",
        "Shichun Liu",
        "Shiqiang Hu",
        "Shirong Ma",
        "Shiyu Wang",
        "Shiyuan Feng",
        "Shufan Gong",
        "Shuhan Lin",
        "Shuiping Yu",
        "Shunfeng Zhou",
        "Shuo Yang",
        "Shuomeng Wang",
        "Shuting Guo",
        "Shuting Pan",
        "Shuying Yu",
        "Sinuo Cao",
        "Siyi Lin",
        "Sizhe Chen",
        "Songyang Chen",
        "Songyang Zhou",
        "Tao Ni",
        "Tao Yun",
        "Tian Jin",
        "Tian Pei",
        "Tian Ye",
        "Tianle Lin",
        "Tianran Ji",
        "Tianyi Cui",
        "Tianyuan Yue",
        "Tingting Yu",
        "Tongrui Xiong",
        "Wangding Zeng",
        "Wei Liu",
        "Wei Zhang",
        "Weibin Xu",
        "Weihao Zeng",
        "Weilin Zhao",
        "Wen Liu",
        "Wenfeng Liang",
        "Wenjie Pang",
        "Wenjing Luo",
        "Wenjing Yao",
        "Wenjun Gao",
        "Wenkai Shao",
        "Wenkai Yang",
        "Wenli Zhang",
        "Wenlu Wang",
        "Wenlve Huang",
        "Wenqian Yan",
        "Wentao Zhang",
        "Xi Gao",
        "Xiang He",
        "Xiang Li",
        "Xiangli Li",
        "Xiangwen Wang",
        "Xiangying Zhang",
        "Xiankui Wei",
        "Xiao Bi",
        "Xiaodong Liu",
        "Xiaohan Wang",
        "Xiaojian Qu",
        "Xiaokang Chen",
        "Xiaokang Zhang",
        "Xiaotao Nie",
        "Xiaoyao Zou",
        "Xiaoyuan Li",
        "Xicheng Guo",
        "Xieting Chu",
        "Xin Cheng",
        "Xin Liu",
        "Xin Xie",
        "Xinbo Xu",
        "Xingchao Liu",
        "Xingchen Liu",
        "Xingkai Yu",
        "Xingyou Li",
        "Xintong Yao",
        "Xinyang Chen",
        "Xinyong Jiang",
        "Xinyu Yang",
        "Xinyu Yang",
        "Xu Chen",
        "Xuanyu Wang",
        "Xubei Zhong",
        "Xuecheng Su",
        "Xuejie Liu",
        "Xuheng Lin",
        "Xujie Fan",
        "Xuncheng Zhao",
        "Xuwei Fu",
        "Y. C. Yan",
        "Y. H. Jiang",
        "Y. T. Wu",
        "Y. W. M.",
        "Y. Z. Wang",
        "Yafei Gao",
        "Yang Yang",
        "Yang Zhang",
        "Yanru Ma",
        "Yanwen Huang",
        "Yao Li",
        "Yao Li",
        "Yao Meng",
        "Yao Zhao",
        "Yaofeng Sun",
        "Yaohui Wang",
        "Yaoyang Ye",
        "Yehang Yin",
        "Yexinrui Wu",
        "Yi Qian",
        "Yi Tao",
        "Yi Yu",
        "Yichao Zhang",
        "Yichen Jiang",
        "Yicheng Wang",
        "Yifan Ding",
        "Yifan Shi",
        "Yifeng Peng",
        "Yifeng Zhai",
        "Yijia Wu",
        "Yiliang Xiong",
        "Yilun Wang",
        "Ying He",
        "Ying Zhou",
        "Yingjia Luo",
        "Yinmin Zhong",
        "Yiping Wang",
        "Yisong Wang",
        "Yixiang Zhang",
        "Yixiao Chen",
        "Yixuan Tan",
        "Yixuan Wei",
        "Yiyang Ma",
        "Yiyao Yang",
        "Yiyuan Liu",
        "Yizai Cai",
        "Yizhen Wei",
        "Yizhi Wang",
        "Yonglun Yang",
        "Yongqi Zhuo",
        "Yongqiang Guo",
        "Yongtong Wu",
        "Yu Wu",
        "Yu Zhang",
        "Yuan Bian",
        "Yuan Cheng",
        "Yuan Ou",
        "Yuan Sun",
        "Yuanfan Xu",
        "Yuanhang Sun",
        "Yuanhao Li",
        "Yuchen Liu",
        "Yuchen Yao",
        "Yudong Han",
        "Yuduan Wang",
        "Yuhan Wu",
        "Yuhao Meng",
        "Yuheng Zou",
        "YuKun Li",
        "Yunchuan Wang",
        "Yunfan Xiao",
        "Yunfan Xiong",
        "Yupeng Chen",
        "Yuqian Cao",
        "Yuqian Wang",
        "Yuqing Chen",
        "Yushun Zhang",
        "Yutong Lin",
        "Yuwei Xiao",
        "Yuxian Gu",
        "Yuxiang Chen",
        "Yuxiang Huang",
        "Yuxiang Luo",
        "Yuxiang You",
        "Yuxin Chen",
        "Yuxin Xiang",
        "Yuxuan Liu",
        "Yuxuan Zhou",
        "Yuyang Zhou",
        "Yuzhe Guo",
        "Yuzhen Huang",
        "Yuzhuo Bai",
        "Z. Y. Z.",
        "Zanlin Ni",
        "Zehao Wang",
        "Zehua Zhao",
        "Zehui Ren",
        "Zejun Zhao",
        "Zhangli Sha",
        "Zhanying Wang",
        "Zhaochen Zhang",
        "Zhaoshuai Du",
        "Zhe Fu",
        "Zhean Xu",
        "Zhenda Xie",
        "Zheng Liu",
        "Zhengyan Zhang",
        "Zhenhua Dong",
        "Zhewen Hao",
        "Zhibang Wang",
        "Zhibin Gou",
        "Zhicheng Ma",
        "Zhihao Li",
        "Zhihong Shao",
        "Zhihuan Huang",
        "Zhijie Li",
        "Zhirui Lu",
        "Zhixian Huang",
        "Zhixuan Chen",
        "Zhixuan Chen",
        "Zhixuan Pan",
        "Zhiyu Wu",
        "Zhizhou Ren",
        "Zhu He",
        "Zhuoshu Li",
        "Zhuping Zhang",
        "Zian Xu",
        "Zihao Wang",
        "Zihui Gu",
        "Zijia Zhu",
        "Zili Zhang",
        "Zilin Li",
        "Zilong Hou",
        "Zilong Lyu",
        "Ziqiao Wang",
        "Ziwei Xie",
        "Ziya Zhang",
        "Ziyi Gao",
        "Zizheng Pan",
        "Zonglin Li",
        "Zongqing Yao",
        "Zui Chen",
        "Zuofan Wu",
        "Chenchen Ling",
        "Chengyu Hou",
        "Chong Chen",
        "D. Li",
        "Di Qi",
        "Dongjie Ji",
        "Fang Wei",
        "Fanyi Xia",
        "Fei Xie",
        "Feiyi Tan",
        "Hailong Guo",
        "Haiyan Zhai",
        "Hui Zhou",
        "Huihui Tan",
        "Huijie Li",
        "Jia Luo",
        "Jia Song",
        "Jialu Cai",
        "Jian Liang",
        "Jiangting Zhou",
        "Jiaqi Gao",
        "Jiayi Shao",
        "Jie Chen",
        "Jieyu Yang",
        "Jin Chen",
        "Jingde Zhang",
        "Jingzi Zhou",
        "Jinqian Wang",
        "Jinyang Liu",
        "JinZhao Sun",
        "Junhua Ling",
        "Junmin Zheng",
        "Kaicheng Yang",
        "Ke Xu",
        "Le Su",
        "Leyi Xia",
        "Liangfeng Ding",
        "Lin Zhuo",
        "Linwang Ma",
        "Linyan Zhu",
        "Liyu Cai",
        "Luqi Yao",
        "M. K. Zhang",
        "Meng Li",
        "Miao Lin",
        "Miaojun Wang",
        "Min Zhang",
        "Mingming Li",
        "Mingming Wang",
        "Mingze Yin",
        "Minmin Han",
        "Nan Cao",
        "Ning Wang",
        "Ningxin Ma",
        "Panpan Wang",
        "Peihan Lin",
        "Peng Sun",
        "Peng Zhang",
        "Qian Ying",
        "Qiang Xiang",
        "Qiao Wang",
        "Qingmiao Mao",
        "Qiwei Jiang",
        "Rongli Jin",
        "Ruyi Chen",
        "Sha Tao",
        "Shangmian Sun",
        "Shaoqing Wu",
        "Shichao Zou",
        "Si Lei",
        "Tianyang Zhang",
        "Tianyu Sun",
        "Tingting Yin",
        "W. L. Xiao",
        "Wei An",
        "Wei Li",
        "Wei Wang",
        "Weiwei Lin",
        "Wenqing Hou",
        "X. Lin",
        "Xiangfei Meng",
        "Xianzhu Huang",
        "Xiao Peng",
        "Xiaoqian Li",
        "Xiaoting Zhang",
        "Xiaowen Sun",
        "Xiaoxiang Wang",
        "Xiaoyu Ye",
        "Xinrou Zhang",
        "Xinyu Zhang",
        "Xue Cao",
        "Xueyin Chen",
        "Yanan Zhou",
        "Yanhong Xu",
        "Yao Xia",
        "Yao Xu",
        "Yi Shao",
        "Yihong Zhang",
        "Yiling Ma",
        "Ying Tang",
        "Yining Lou",
        "Yiru Chen",
        "Yishi Piao",
        "Yixuan Chen",
        "Yong Xiong",
        "Yuchen Xuan",
        "Yuehan Yang",
        "Yuer Xu",
        "Yukun Zha",
        "Yunxian Ma",
        "Yuping Lin",
        "Yuting Yan",
        "Yutong Xie",
        "Yuwen Sheng",
        "Yuxuan Zhu",
        "Zekai Zhang",
        "Zhe Ju",
        "Zhenzhen Lin",
        "Zheren Gao",
        "Zheyang Sun",
        "Zhigang Yan",
        "Zhongyu Wu",
        "Zi Wang",
        "Zihua Qu",
        "Ziling Yan",
        "Ziyi Wan"
      ],
      "content_date": "2026-09-17",
      "freshness": "fresh",
      "id": "arxiv:2609.19969",
      "kind": "paper",
      "label": "adjacent",
      "matched_signals": [
        "seed_author:Junqi Liu"
      ],
      "published": "2026-09-17",
      "score": 1.7,
      "source": "arxiv-ai4math-core",
      "summary": "The widespread adoption of long-horizon agents has made model workloads increasingly input-heavy. Although prior work has substantially reduced the cost of long-context computation, prefill remains computationally expensive, and large KV caches continue to strain HBM and SSD capacity and data-transfer bandwidth. Together, these compute, storage, and bandwidth demands constitute the primary bottleneck to further lowering deployment costs. To address this challenge, we introduce DeepSeek-V4.1-Flash, a multimodal Mixture-of-Experts (MoE) model with 552B backbone parameters and support for contexts of up to one million tokens. With its Causal Encoder-Decoder (CED) architecture, the model activates 16B parameters per token during decode but only 8B parameters during prefill, substantially improving cost efficiency for agentic workloads. To push the limits of KV cache compression, DeepSeek-V4.1-Flash combines cross-layer KV cache reuse in Compressed Sparse Attention 2 (CSA2) with FP4 KV caching. These designs reduce its global KV cache footprint (always in HBM) to 890 bytes per token, roughly 1/4 of the corresponding footprint of DeepSeek-V4-Flash. Further, through a dedicated deployment optimization known as SWA Bounded Replay, DeepSeek-V4.1-Flash reduces its persistent KV cache footprint (always on SSD or in host memory) to roughly 1/8 of that of DeepSeek-V4-Flash. Despite its much smaller KV cache footprint, the model delivers substantially better performance than the baseline. In addition, we streamline the DeepSeek-V4 architecture and introduce several efficient architectural extensions. We pretrain DeepSeek-V4.1-Flash on a multimodal corpus comprising 45T tokens and conduct comprehensive post-training, yielding strong performance across diverse text-based and multimodal agentic scenarios. Model checkpoints are available at https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash.",
      "title": "DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression",
      "updated": "2026-09-17",
      "url": "https://arxiv.org/abs/2609.19969"
    },
    {
      "age_days": 0,
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      ],
      "content_date": "2026-09-18",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:f8c84fee3769",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-09-18",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: chore: upgrade to LLVM 23.1.1 (#15212)",
      "updated": "2026-09-18",
      "url": "https://github.com/leanprover/lean4/commit/f8c84fee37692279de48d799c4a035a87e399d69"
    },
    {
      "age_days": 3,
      "authors": [
        "Lean stage0 autoupdater"
      ],
      "content_date": "2026-09-18",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:a517d069ef6b",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-09-18",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: chore: update stage0",
      "updated": "2026-09-18",
      "url": "https://github.com/leanprover/lean4/commit/a517d069ef6b27089152afeb46f08311cbdb6924"
    },
    {
      "age_days": 3,
      "authors": [
        "David Thrane Christiansen"
      ],
      "content_date": "2026-09-18",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:92c86bace894",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-09-18",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: chore: bootstrapping for Verso parser rewrite (#15211)",
      "updated": "2026-09-18",
      "url": "https://github.com/leanprover/lean4/commit/92c86bace894377c38004564e54e142dabefb63b"
    },
    {
      "age_days": 3,
      "authors": [
        "Henrik Böving"
      ],
      "content_date": "2026-09-18",
      "freshness": "fresh",
      "id": "github:leanprover/lean4:cae2ad0faf37",
      "kind": "github_update",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-09-18",
      "repo": "leanprover/lean4",
      "score": 0.8,
      "source": "lean4-github",
      "summary": "Recent commit on leanprover/lean4.",
      "title": "leanprover/lean4: chore: block some more tests in fsanitize (#15214)",
      "updated": "2026-09-18",
      "url": "https://github.com/leanprover/lean4/commit/cae2ad0faf37fb803ae18a320b9ecd72737561a4"
    },
    {
      "age_days": 3,
      "arxiv_id": "2609.22077",
      "authors": [
        "Liudmyla Kryvonos",
        "Lukas Liehr",
        "Mitchell A. Taylor"
      ],
      "content_date": "2026-09-18",
      "freshness": "fresh",
      "id": "arxiv:2609.22077",
      "kind": "paper",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-09-18",
      "score": 0.5,
      "source": "arxiv-ai4math-core",
      "summary": "We study the energy minimization problem for eight points on the unit sphere. For the logarithmic and Coulomb energies, we show that the unique global minimizer up to congruence is a square antiprism with height characterized by a unique stationarity equation. The proof is computer-assisted and fully verified in Lean. After this, we consider generalizations of the result to other important energies. For the Riesz $s$-energies, we provide a Lean-verified, non-computer-assisted proof that the square antiprism with height depending on $s$ is the unique global minimizer for all sufficiently large $s$, and a computer-assisted proof that this in fact holds for all $s\\geq 0$. We also give examples of energies arising from completely monotonic potentials for which the square antiprism is not a global minimizer, answering in the negative a universality question of Cohn and Woo.",
      "title": "Energy minimization for eight points on the sphere",
      "updated": "2026-09-18",
      "url": "https://arxiv.org/abs/2609.22077"
    },
    {
      "age_days": 3,
      "arxiv_id": "2609.21279",
      "authors": [
        "Tarun Kathuria"
      ],
      "content_date": "2026-09-18",
      "freshness": "fresh",
      "id": "arxiv:2609.21279",
      "kind": "paper",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-09-18",
      "score": 0.5,
      "source": "arxiv-ai4math-core",
      "summary": "Let $A_1,\\ldots,A_N$ be positive semidefinite matrices of rank at most $r$, with $\\sum_iA_i=I$ and $\\|A_i\\|\\le\\varepsilon$. We prove that the original matrices admit signs with discrepancy $O(\\sqrt\\varepsilon\\log(2r))$, independently of their dimension and number which is a significantly stronger result than what was known existentially. We give a deterministic algorithm with polynomial real-arithmetic work, and a separate existence proof requiring no computational assumptions. This extends our companion paper on rank-one Kadison--Singer discrepancy. A concave matrix power interpolates between the trace source, which pays a factor $r$, and the sandwich source, whose density response is harder to control. We prove that source concavity controls this additional response in the same inverse-Sylvester metric as the optimized spectral potential. As an application, a single spanning tree can be chosen simultaneously $O(\\varepsilon\\log^2(2s))$-spectrally thin for $s$ positive edge weightings of a common graph, provided every edge has leverage at most $\\varepsilon$ in every weighting. The reduction preserves one common selection decision per edge. For incidence matrices with at most $t$ ones in every row and column, the diagonal specialization gives a deterministic walk on fractional colorings with discrepancy $O(\\sqrt t\\log(2t))$. The local-walk mechanism gives both existence and an efficient construction without using the Lovász local lemma. A Lean formalization of our existence proof has been completed and will be released shortly.",
      "title": "A Walk From Free Probability to Matrix Discrepancy III: Higher Rank Kadison-Singer and Spectrally Thin Trees",
      "updated": "2026-09-18",
      "url": "https://arxiv.org/abs/2609.21279"
    },
    {
      "age_days": 4,
      "arxiv_id": "2609.20805",
      "authors": [
        "Susanna Bertolini",
        "Enric Florit-Simon",
        "Lukas Liehr",
        "Mitchell A. Taylor"
      ],
      "content_date": "2026-09-17",
      "freshness": "fresh",
      "id": "arxiv:2609.20805",
      "kind": "paper",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-09-17",
      "score": 0.5,
      "source": "arxiv-ai4math-core",
      "summary": "We consider generalizations of the classical Fourier uniqueness theorem. First, we construct a family of uniformly discrete sets $Λ\\subset \\mathbb{R}$, of uniform density one, such that the exponential system $\\{e^{2πiλx} : λ\\in Λ\\}$ is complete in $L^p(S)$ for every $1 \\leq p < \\infty$ and every measurable set $S \\subset \\mathbb{R}$ with $|S| < 1$. We also show that no set that is asymptotically integer can have this universality property. Additionally, for every $v \\in (0,1)$, we construct a set of integer frequencies and uniform density $v$ whose exponential system is complete in $L^p(S)$ for every $1 \\leq p < \\infty$ and every measurable set $S \\subset [0,1]$ with $|S| < v$. Finally, we prove that the Sobolev regularity condition $α> \\frac12$ for the existence of uniformly discrete uniqueness sets for spectra with periodic weak gaps, considered by Olevskii and Ulanovskii, is sharp. Our findings admit extensions to higher dimensions and are verified in Lean.",
      "title": "Universal completeness of exponentials",
      "updated": "2026-09-17",
      "url": "https://arxiv.org/abs/2609.20805"
    },
    {
      "age_days": 4,
      "arxiv_id": "2609.20789",
      "authors": [
        "Zachary Robertson"
      ],
      "content_date": "2026-09-17",
      "freshness": "fresh",
      "id": "arxiv:2609.20789",
      "kind": "paper",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-09-17",
      "score": 0.5,
      "source": "arxiv-ai4math-core",
      "summary": "This article introduces mutual evaluation of a replicable task worker and a critic that incentivizes truthful reporting, both modeled as strategic agents. The critic chooses a finite-valued rule that induces an evaluation score on joint report laws. Their common payoff is analyzed through regret relative to the unrestricted critic envelope. The critic rule is distinct from the evaluation score. This class enables a peer-free information elicitation mechanism using conditionally independent replications of a worker on the same task. This replication-loop mechanism implements a type-agreement payoff using same-task replications and new-task samples. In contrast to the peer-prediction and scoring-rule literature, implementations are shown that produce unbiased Pearson and Shannon information scores without requiring peers, a ground-truth reference, or likelihood-ratio estimation. A valid binary critic also can be represented by shared finite type annotations of worker returns. One runtime restriction is that the number of required replicas is random and can depend on the critic rule. Other timing effects, such as commitment and reoptimization, yield distinct incentives, connecting the framework to variational peer prediction. This mechanism class illustrates why strategic considerations matter for both critic and worker agents.",
      "title": "Mutual Evaluation and Supervision without Peers",
      "updated": "2026-09-17",
      "url": "https://arxiv.org/abs/2609.20789"
    },
    {
      "age_days": 4,
      "arxiv_id": "2609.20005",
      "authors": [
        "Maxim Chupilkin"
      ],
      "content_date": "2026-09-17",
      "freshness": "fresh",
      "id": "arxiv:2609.20005",
      "kind": "paper",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-09-17",
      "score": 0.5,
      "source": "arxiv-ai4math-core",
      "summary": "People increasingly turn to AI chatbots for news and explanations of world events. But do they receive the same political answers when they ask in different languages? Here we show that the language of a question can change how the same AI systems assess the war in Ukraine. We ask GPT, Claude and Gemini to evaluate twenty statements about the war in 112 languages, collecting 67,200 responses. The balance between Russia-leaning and Ukraine-leaning responses differs across languages. When we group responses by countries' official languages, they follow a pattern resembling worldwide political divisions: relatively more Russia-leaning answers correspond to more favourable public views of Russia, less support for Ukraine in United Nations votes, and less aid to Ukraine. The broad pattern recurs across all three models and remains when individual statement pairs are removed. Our findings suggest a possible route through which information warfare may shape the text used to train AI models, which may in turn spread geopolitical biases.",
      "title": "Geopolitical Divisions Across Languages in Large Language Models",
      "updated": "2026-09-17",
      "url": "https://arxiv.org/abs/2609.20005"
    },
    {
      "age_days": 4,
      "arxiv_id": "2609.19740",
      "authors": [
        "Najiyya Younas",
        "Omar Abdulkader",
        "Yaser Ali Shah",
        "Muhammad Jawad Ikram",
        "Jebran Khan",
        "Amaad Khalil"
      ],
      "content_date": "2026-09-17",
      "freshness": "fresh",
      "id": "arxiv:2609.19740",
      "kind": "paper",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-09-17",
      "score": 0.5,
      "source": "arxiv-ai4math-core",
      "summary": "Recent innovations in deep learning have significantly enhanced the diagnosis of medical images, although they are based on the use of centralized data storage that pose severe threats to patient privacy and medical data security. To address this issue, this research proposes a Federated Learning (FL) model that is coupled with an optimized YOLOv8 network to detect the kidney stones on a computed tomography (CT) image and at the same time, protect privacy of the patients. The suggested system can help various medical organizations to jointly train a common model without exchanging the information about the patients. This is to ensure that data protection laws like GDPR and HIPAA are adhered to. The residual feature fusion and DropBlock regularization among other architectural improvements are also included in YOLOv8 to enhance detection robustness and minimize overfitting. Experimental analysis carried out on a distributed CT dataset demonstrated that the federated YOLOv8 model has a mAP at 50 of 0.733 and is able to keep the data confidential. Moreover, its lean design facilitates fast edge deployment and real-time inference across a clinical setting. Altogether, these findings indicate that Federated Learning is a safe and efficient solution to AI-assisted diagnosis in contemporary healthcare when combined with the use of sophisticated object detection models.",
      "title": "Federated Learning Framework for Privacy-Preserving Kidney Stone Detection",
      "updated": "2026-09-17",
      "url": "https://arxiv.org/abs/2609.19740"
    },
    {
      "age_days": 5,
      "arxiv_id": "2609.19234",
      "authors": [
        "Julian Alfredo Mendez",
        "Timotheus Kampik"
      ],
      "content_date": "2026-09-16",
      "freshness": "fresh",
      "id": "arxiv:2609.19234",
      "kind": "paper",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-09-16",
      "score": 0.5,
      "source": "arxiv-ai4math-core",
      "summary": "This paper presents the AR fairness metamodel, a framework designed to represent, analyze, and compare different fairness scenarios. The metamodel considers key elements, such as agents, resources, and their attributes, and enables the systematic definition and comparison of various fairness measures. We provide examples involving both discrete and continuous measures, including equality, equity, group fairness, individual fairness, the Gini index, the Theil index, Jain's fairness index, and a detailed fairness measure for Australia's Child Care Subsidy. We also explore relationships among group fairness, individual fairness, and envy-freeness, supported by formal proofs. At the conceptual modeling level, our approach builds on the Tiles framework, which offers modular components that can be connected to capture diverse fairness definitions. The goal is to make AR-based fairness definitions practical and adaptable across contexts, providing a clear way to define, compare, and evaluate them. An implementation of the Tiles framework is available as an open-source tool, and can support fairness modeling and evaluation across a wide range of applications.",
      "title": "The AR Fairness Metamodel: A Structured Framework for Fairness Measures",
      "updated": "2026-09-16",
      "url": "https://arxiv.org/abs/2609.19234"
    },
    {
      "age_days": 5,
      "arxiv_id": "2609.19285",
      "authors": [
        "Marco Tonin",
        "Michele Tizzoni",
        "Bruno Lepri",
        "Esteban Moro"
      ],
      "content_date": "2026-09-16",
      "freshness": "fresh",
      "id": "arxiv:2609.19285",
      "kind": "paper",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-09-16",
      "score": 0.5,
      "source": "arxiv-ai4math-core",
      "summary": "Residential and social sorting along political lines structure Americans' daily interactions, often limiting encounters with opposing viewpoints. Here, we combine high-resolution anonymized mobility data from 11 major U.S. metropolitan areas with precinct-level voting results to quantify and examine individuals' experienced partisan segregation in urban areas. We find that residential context provides a strong baseline for political exposure, but experienced partisan segregation is also shaped by everyday mobility behavior, since individuals living in similar residential environments can experience different levels of partisan segregation depending on their daily routines. In particular, individuals who travel farther encounter more politically diverse environments, especially in highly segregated areas, indicating that mobility range moderates the relationship between residential and experienced segregation, while exploring a wider range of places does not reduce partisan segregation and may even reinforce it. Moreover, place segregation largely reflects political geography, yet categories of points of interest have distinct segregation patterns, with community places and social businesses tending to attract more left-leaning visitors, reflecting visitation patterns rather than local accessibility alone. Our findings show that experienced partisan segregation extends beyond residential geography and is also associated with the mobility behavior and visitation patterns that structure people's daily lives.",
      "title": "Experienced partisan segregation across patterns of mobility behavior in US cities",
      "updated": "2026-09-16",
      "url": "https://arxiv.org/abs/2609.19285"
    },
    {
      "age_days": 5,
      "arxiv_id": "2609.19479",
      "authors": [
        "Daniel O. Martínez-Rivillas",
        "Arthur F. Ramos",
        "Ruy J. G. B. de Queiroz"
      ],
      "content_date": "2026-09-16",
      "freshness": "fresh",
      "id": "arxiv:2609.19479",
      "kind": "paper",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-09-16",
      "score": 0.5,
      "source": "arxiv-ai4math-core",
      "summary": "We present a typed two-dimensional $λ$-calculus whose equality evidence is \\emph{computational}: a path between two terms is an explicit finite sequence of one-step conversions (the $β$- and $η$-contractions, the congruences, and the structural rules), and every property of paths is proved \\emph{by recursion over that sequence}, with any step as a base case --- in deliberate contrast with Martin-Löf type theory, where identity is generated by reflexivity alone and all properties go through the non-computational $J$-eliminator. The higher structure is imported from the $2β$- and $2η$-conversions of the theory of an arbitrary higher $λ$-model: we obtain 2-dimensional coherence laws, computable naturality of homotopies (via inductive homotopies and their explicit evaluations), a 2-dimensional path type with transport, and a parity invariant that proves the system consistent and \\emph{really intensional}: the $β$- and $η$-contractions are provably distinct evidence, while in the native syntax of Idris (core MLTT) they are identified by definitional equality. Commutative diagrams accompany the main constructions, and the theory is fully formalized in Idris 2. A parallel Lean formalization is published in the Palomar registry \\cite{palomar2026lean}. A philosophical reading closes the paper: constructivism in the BHK sense, proof-relevant intensionality, and the boundary between syntax and semantics, drawn relative to MLTT and HoTT.}",
      "title": "A Theory of a Two-Dimensional Typed Lambda Calculus",
      "updated": "2026-09-16",
      "url": "https://arxiv.org/abs/2609.19479"
    },
    {
      "age_days": 5,
      "arxiv_id": "2609.18722",
      "authors": [
        "Shuxing Yang",
        "Rui Zhao",
        "Junyao Wu",
        "Yize Wang",
        "Wenhao Li",
        "Fujia Chen",
        "Taowen Deng",
        "Shenzhan Hong",
        "Yaqi Li",
        "Zichen Li",
        "Jincheng Mi",
        "Yuang Pan",
        "Kaihao Zhu",
        "Junjie Yang",
        "Hongsheng Chen",
        "Yihao Yang"
      ],
      "content_date": "2026-09-16",
      "freshness": "fresh",
      "id": "arxiv:2609.18722",
      "kind": "paper",
      "label": "negative",
      "matched_signals": [],
      "published": "2026-09-16",
      "score": 0.5,
      "source": "arxiv-ai4math-core",
      "summary": "We prove that the tensor rank of $3\\times3$ matrix multiplication over $\\mathbb F_2$ is at least $21$. The structural proof, independently developed by Qiushi Engine, converts occupation constraints on a single tensor factor into algebraic relations coupling all three factors. Certified quotient-rank bounds and finite geometry force any hypothetical $20$-term decomposition to have first-factor matrix-rank profile $(16,1,3)$. The ranks of the corresponding split-flattened summands therefore sum to $27$, exactly the rank of the full split flattening. Equality in rank subadditivity forces their images to form a direct sum; normalization by the inverse flattening then makes the summands pairwise annihilating idempotents. An explicit product identity for matrix multiplication implies that at most one first factor can be invertible, contradicting the three forced by the profile. The same obstruction constrains $22$-term decompositions attaining the split-rank bound. The complete proof, including the finite quotient bounds, is formalized in Lean. The accompanying research trajectory records Qiushi Engine's long-horizon autonomous research, from numerical experiments and quotient constructions to the structural proof.",
      "title": "A Structural Proof of the Lower Bound 21 for $3\\times3$ Matrix Multiplication over $\\mathbb F_2$",
      "updated": "2026-09-16",
      "url": "https://arxiv.org/abs/2609.18722"
    }
  ],
  "lookback_days": 21,
  "schema": "ai4math-radar-run-v1",
  "timezone": "America/Los_Angeles"
}
