papers checked against Recognition
Pith ran a Recognition coverage check on each paper here and surfaced at least one Lean theorem in the public Recognition library that looks relevant to the paper's claims. The link is Pith's machine assessment, not a citation by the paper. Click into the paper for the full Pith review and the suggested theorem matches.
60 of 33950 papers
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Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory
cs.AI · 2023-05-25 · 3 theorem links
GITM uses LLMs to generate action plans from text knowledge and memory, enabling agents to complete long-horizon Minecraft tasks at much higher success rates than prior RL methods.
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Language Is Not All You Need: Aligning Perception with Language Models
cs.CL · 2023-02-27 · 3 theorem links
Kosmos-1 shows strong zero-shot and few-shot results on language tasks, image captioning, visual QA, OCR-free document understanding, and image recognition guided by text instructions.
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Mass-type invariants in the presence of a cosmological constant
math.DG · 2026-03-02 · 3 theorem links
New mass invariants for positive cosmological constant initial data characterize de Sitter spacetime and yield positive mass and Penrose inequalities.
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ARC-AGI-2: A New Challenge for Frontier AI Reasoning Systems
cs.AI · 2025-05-17 · 3 theorem links
ARC-AGI-2 adds a larger, more complex set of tasks to the original ARC-AGI benchmark to give finer-grained measurement of fluid intelligence in AI.
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Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
cs.CV · 2023-12-28 · 3 theorem links
Q-Align trains LMMs on discrete text-defined levels for visual scoring, achieving SOTA on IQA, IAA, and VQA while unifying the tasks in OneAlign.
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What Does Flow Matching Bring To TD Learning?
cs.LG · 2026-03-04 · 3 theorem links
Flow matching critics outperform monolithic ones in RL by 2x performance and 5x sample efficiency via test-time error recovery through integration and multi-point velocity supervision that preserves feature plasticity.
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Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference
cs.CL · 2025-08-04 · 3 theorem links
Seed Diffusion Preview is a discrete diffusion language model that reaches 2146 tokens per second inference on H20 GPUs with competitive code benchmark performance, establishing a new speed-quality Pareto frontier.
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Regge trajectories from the adjoint sector of Matrix Quantum Mechanics
hep-th · 2026-03-04 · 3 theorem links
At criticality in the adjoint sector of matrix quantum mechanics, the spectrum exhibits Regge trajectories Δ² ~ n/α' interpreted as oscillatory excitations of short folded open strings in the dual 2D string theory.
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SpinQuant: LLM quantization with learned rotations
cs.LG · 2024-05-26 · 3 theorem links
SpinQuant learns optimal rotations to enable accurate 4-bit quantization of LLM weights, activations, and KV cache, reducing the zero-shot gap to full precision to 2.9 points on LLaMA-2 7B.
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AutoUE: Automated Generation of 3D Games in Unreal Engine via Multi-Agent Systems
cs.HC · 2026-03-07 · 3 theorem links
AutoUE is a multi-agent system that uses retrieval-augmented generation and automated play-testing to generate end-to-end 3D games in Unreal Engine.
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VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
cs.CV · 2021-05-11 · 3 theorem links
VICReg prevents collapse in self-supervised image embeddings via explicit variance, invariance, and covariance regularization and matches state-of-the-art downstream performance.
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NePPO: Near-Potential Policy Optimization for General-Sum Multi-Agent Reinforcement Learning
cs.LG · 2026-03-07 · 3 theorem links
NePPO learns a player-independent potential function via a novel objective whose minimization yields an approximate Nash equilibrium for general-sum multi-agent games.
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Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving
cs.CV · 2024-10-29 · 3 theorem links
Senna decouples language-based high-level planning from an LVLM with low-level trajectory prediction from an E2E model, reporting 27% lower planning error and 33% lower collisions after pre-training on DriveX and fine-tuning on nuScenes.
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Circle packing and Riemann uniformization of random planar maps in an ergodic scale-free environment
math.PR · 2026-03-06 · 3 theorem links
Infinite planar maps in ergodic scale-free environments converge at large scales to their circle-packing and Riemann-uniformization embeddings under suitable moment and connectivity conditions.
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Exact Is Easier: Credit Assignment for Cooperative LLM Agents
cs.LG · 2026-03-06 · 3 theorem links
C3 achieves exact unbiased credit assignment in cooperative LLM agents by exploiting deterministic observable histories for counterfactual sampling, outperforming approximate baselines across six benchmarks.
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Methodological opportunities for mitigating climate change in complex food systems
physics.soc-ph · 2026-03-10 · 3 theorem links
A shared methodological toolkit from multiple scientific domains is outlined to measure structure versus randomness in food systems, predict transitions, and inform climate-adaptive redesigns.
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Neural Ordinary Differential Equations
cs.LG · 2018-06-19 · 3 theorem links
Neural networks are redefined as continuous dynamical systems by learning the derivative of the hidden state with a neural network and integrating it with an ODE solver.
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AR-VLA: True Autoregressive Action Expert for Vision-Language-Action Models
cs.RO · 2026-03-10 · 3 theorem links
AR-VLA introduces a standalone autoregressive action expert with long-lived memory that generates context-aware continuous actions for VLAs, replacing chunk-based heads with smoother trajectories and maintained task success.
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Seed-TTS: A Family of High-Quality Versatile Speech Generation Models
eess.AS · 2024-06-04 · 3 theorem links
Seed-TTS models produce speech matching human naturalness and speaker similarity, with added controllability via self-distillation and reinforcement learning.
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Hankel Determinants from Quadratic Orthogonal Pairs for Hyperelliptic Functions and Their Applications
nlin.SI · 2026-03-12 · 3 theorem links
Quadratic orthogonal pairs resolve the mismatch problem for Hankel determinants on hyperelliptic curves and supply closed-form solutions for bilateral Somos-4 and Somos-5 recurrences.
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Measuring Primitive Accumulation: An Information-Theoretic Approach to Capitalist Enclosure in PIK2, Indonesia
physics.soc-ph · 2026-03-14 · 3 theorem links
Satellite data projected onto a Marxian simplex shows a 0.405 rad/yr transformation pulse, 38-46 year absorption times into built land, and percolation below random thresholds indicating planned rather than stochastic urban growth in PIK2.
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Fixed point theorem for cluster modular groups
math.GT · 2026-03-15 · 3 theorem links
Finite subgroups of cluster modular groups have fixed points in the positive cluster varieties under a condition verified for all finite mutation types except X_7.
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CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
cs.SE · 2021-02-09 · 3 theorem links
CodeXGLUE supplies a standardized collection of 10 code-related tasks, 14 datasets, an evaluation platform, and BERT-, GPT-, and encoder-decoder-style baselines.
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Linearized Attention Cannot Enter the Kernel Regime at Any Practical Width
cs.LG · 2026-03-13 · 3 theorem links
Linearized attention requires impractically large widths m = Ω(κ_d(G)^6 n log n) to enter the NTK regime, exceeding 10^24 for MNIST and 10^29 for CIFAR-10.
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Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning
cs.CL · 2025-06-08 · 3 theorem links
Lingshu is a medical-specialized multimodal LLM that outperforms prior open-source models on multimodal QA, text QA, and report generation after training on a large curated dataset of medical knowledge.
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A new model for the quantum mechanics of the Hydrogen atom
math-ph · 2026-03-16 · 3 theorem links
The model on the Lorentzian cone with algebraic operators reproduces the standard hydrogen atom energy spectrum and wavefunction solutions in a Schwartz subspace.
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The Dimension of Integral Self-Affine Sets via Fractal Perturbations: The Box and the Hausdorff Dimensions, Ergodic Measures
math.DS · 2026-03-15 · 3 theorem links
A fractal perturbation technique yields the dimensions of integral self-affine sets and proves existence of full-dimensional ergodic measures on their torus versions.
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SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
cs.SE · 2025-02-25 · 3 theorem links
SWE-RL uses RL on software evolution data to train LLMs achieving 41% on SWE-bench Verified with generalization to other reasoning tasks.
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Projection and Invariance in Scientific Explanation
physics.hist-ph · 2026-03-17 · 3 theorem links
Projection is the central mechanism of scientific representation: a mapping that partitions states into equivalence classes, omits internal variation, and thereby reveals invariants that would otherwise remain inaccessible.
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REALM: Retrieval-Augmented Language Model Pre-Training
cs.CL · 2020-02-10 · 3 theorem links
REALM augments language-model pre-training with an unsupervised retriever over Wikipedia documents and reports 4-16% absolute gains on open-domain QA benchmarks over prior implicit and explicit knowledge methods.
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Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
cs.LG · 2023-06-06 · 3 theorem links
ITI shifts activations in limited attention heads using directions found from a few hundred examples, raising Alpaca's TruthfulQA truthfulness from 32.5% to 65.1% while allowing tunable tradeoff with helpfulness.
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On the Duality of Coverings in Hilbert Geometry
math.MG · 2026-03-19 · 3 theorem links
Hilbert-geometry covering numbers satisfy polarity duality: N^H_K(G, α) is bounded above and below by c^{±d} times N^H_{G°}(K°, α) for an absolute constant c.
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Growing Alphabets in Canonical Shuffle Experiments: Likelihood-Ratio Laws, Estimation Bounds, and Low-Budget Equivariant Design
cs.IT · 2026-03-18 · 3 theorem links
Alphabet growth improves canonical shuffled privacy precisely when the worst pairwise likelihood-ratio law collapses to a point mass, with sharp chi-squared bounds and optimal low-budget equivariant designs.
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Quantum Structures as Generative Scores: Partition Logic, Generative Logic, and Aesthetic Form
quant-ph · 2026-03-19 · 3 theorem links
Partition logic is converted into Prolog generative grammars to produce modular artifacts like the Quantum Square, keeping logical structure independent of its realization for design and communication uses.
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ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving
cs.CV · 2025-06-09 · 3 theorem links
ReCogDrive unifies VLM scene understanding with a diffusion planner reinforced by DiffGRPO to reach state-of-the-art results on NAVSIM and Bench2Drive benchmarks.
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MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning
cs.CL · 2022-05-01 · 3 theorem links
MRKL is a modular neuro-symbolic architecture that integrates LLMs with external knowledge and discrete reasoning to overcome limitations of pure neural language models.
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Interpretable EEG Microstate Discovery via Variational Deep Embedding: A Systematic Architecture Search with Multi-Quadrant Evaluation
cs.LG · 2026-04-29 · 3 theorem links
Conv-VaDE with four-dimensional architecture search yields interpretable EEG microstates via generative decoding, achieving peak GEV of 0.730 and silhouette 0.229 at K=4 with depth-4 networks on ten-participant resting-state data.
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Agents of Chaos
cs.AI · 2026-02-23 · 3 theorem links
An exploratory red-teaming study documents eleven cases of security, privacy, and governance failures in autonomous language-model agents with tool access and persistent memory.
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Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
cs.LG · 2024-02-29 · 3 theorem links
Griffin hybrid model matches Llama-2 performance while trained on over 6 times fewer tokens and offers lower inference latency with higher throughput.
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Posterior-Calibrated Causal Circuits in Variational Autoencoders: Why Image-Domain Interpretability Fails on Tabular Data
cs.LG · 2026-03-22 · 3 theorem links
Tabular VAEs show ~50% lower causal circuit modularity than image VAEs, with beta-VAE CES collapsing to 0.043 versus 0.133 due to reconstruction degradation, challenging direct transfer of image interpretability techniques.
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Measuring short-form factuality in large language models
cs.CL · 2024-11-07 · 3 theorem links
SimpleQA is a new benchmark of short, single-answer factual questions collected adversarially against GPT-4 to evaluate LLM factuality and confidence calibration.
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One Step Diffusion via Shortcut Models
cs.LG · 2024-10-16 · 3 theorem links
Shortcut models enable high-quality single or few-step sampling in diffusion models with one network and training phase by conditioning on desired step size.
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Contraction and Hourglass Persistence for Learning on Graphs, Simplices, and Cells
cs.LG · 2026-04-19 · 3 theorem links
Hourglass Persistence interleaves sequences of graph inclusions and contractions to produce more expressive topological features than standard persistent homology for learning on graphs and higher-order complexes.
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Epistemic Observability in Language Models
cs.DC · 2026-03-20 · 3 theorem links
Language models cannot be made epistemically honest under text-only supervision, but per-token entropy provides a detectable signal with AUC 0.757 that generalizes across model families.
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Overcoming Dynamics-Blindness: Training-Free Pace-and-Path Correction for VLA Models
cs.RO · 2026-05-12 · 3 theorem links
Pace-and-Path Correction decomposes a quadratic cost minimization into orthogonal pace and path channels to correct chunked actions in VLA models, raising success rates by up to 28.8% in dynamic settings.
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Quantitative Linear Logic
cs.LO · 2026-05-13 · 3 theorem links
pQLL calculi assign real-valued strength to proofs, generalize hypersequent and deep inference systems, prove cut elimination, and achieve completeness for soft residuated lattices, recovering MALL as p goes to infinity.
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Frequency-Space Mechanics: A Sequence and Coordinate-Free Representation for Protein Function Prediction
q-bio.BM · 2026-05-12 · 3 theorem links
Vibrational mode graphs from molecular dynamics enable sequence-free protein function prediction via graph neural networks, with entrainment improving signals for collective dynamics.
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PolitNuggets: Benchmarking Agentic Discovery of Long-Tail Political Facts
cs.AI · 2026-05-13 · 3 theorem links
PolitNuggets is a multilingual benchmark showing that AI agents struggle with fine-grained accuracy and efficiency when discovering long-tail political facts for elite biographies, linking performance to short-context extraction, multilingual robustness, and tool use.
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MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
cs.CL · 2023-11-27 · 3 theorem links
MMMU provides 11.5K heterogeneous college-level multimodal questions that current models solve at 56-59% accuracy, establishing a new standard for expert multimodal evaluation.
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AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation
cs.CL · 2023-12-20 · 3 theorem links
A three-agent loop of code generation, test creation, and execution feedback lifts pass@1 to 96.3% on HumanEval and 91.8% on MBPP for GPT-4 while using roughly half the tokens of prior state-of-the-art.
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Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models
cs.SD · 2025-07-10 · 3 theorem links
Audio Flamingo 3 introduces an open large audio-language model achieving new state-of-the-art results on over 20 audio understanding and reasoning benchmarks using a unified encoder and curriculum training on open data.
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Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models
cs.CV · 2023-06-08 · 3 theorem links
Video-ChatGPT is a multimodal model that combines a video visual encoder with an LLM to understand and generate conversations about videos, trained on a new dataset of 100,000 video-instruction pairs.
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Image Restoration via Diffusion Models with Dynamic Resolution
cs.CV · 2026-05-14 · 3 theorem links
Dynamic resolution priors enable faster diffusion-based image restoration by operating in lower-dimensional subspaces, with adapted methods outperforming prior DM approaches on most tasks.
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Non-crystallographic systems of integers over composition algebras
math.RA · 2026-05-14 · 3 theorem links
A new free rank-8 Z[φ]-order is built by doubling the icosian ring, equipped with a 240-element H4⊕H4 finite root shell, shown to be self-dual under the polar norm and free of octonion-stable nonzero isotropic gluings in its first trace-integral discriminant tower.
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Convergence of difference inclusions via a diameter criterion
math.OC · 2026-05-14 · 3 theorem links
A diameter criterion tied to a potential function certifies convergence of difference inclusions, enabling discrete proofs for first-order optimization methods with diminishing steps.
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Branch-width of represented matroids in matrix multiplication time
cs.DS · 2026-05-14 · 3 theorem links
O(n² + n^ω)-time algorithm decides if branch-width of a matrix-represented matroid over a finite field is at most k.
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GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents
cs.CV · 2025-04-14 · 3 theorem links
GUI-R1 uses reinforcement fine-tuning with GRPO on a small curated dataset to create a generalist vision-language action model that outperforms prior GUI agent methods across mobile, desktop, and web benchmarks using only 0.02% of the data.
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Matrix-Space Reinforcement Learning for Reusing Local Transition Geometry
cs.LG · 2026-05-14 · 3 theorem links
MSRL represents trajectory segments as PSD matrices to prove additive composition properties and bootstrap value functions for better transfer, reaching 0.73 AUC versus 0.57-0.65 baselines.
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A Study on Type-2 Isomorphic Circulant Graphs: Part 8: $C_{432}(R)$, $C_{6750}(S)$ -- each has 2 types of Type-2 isomorphic circulant graphs
math.CO · 2026-05-14 · 3 theorem links
Two families of circulant graphs C_432(R) and C_6750(S) each possess Type-2 isomorphic variants for two values of m.
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3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
cs.RO · 2024-03-06 · 3 theorem links
DP3 uses compact 3D representations from sparse point clouds inside diffusion policies to learn generalizable visuomotor skills from few demonstrations, reporting 24% gains in simulation and 85% success on real robots.