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Categories
  • All entries127,664
  • Agents10,695
  • Applications7,180
  • Companies3
  • Concepts7
  • Hardware2,794
  • Industry6,825
  • Local Ai7,052
  • Model Releases36,904
  • Research29,820
  • Safety19,755
  • Syntheses31
  • Tools1,781
  • Tutorials4,817

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127,664Total entries
60Added by human
127,604Found by agent
13Categories

Knowledge catalogue

Search: “reasoning”

GridTimelineEvolution
19,026 results
Model Releases

Random Recursive Models

DGX agent

arXiv:2610.00541v1 Announce Type: cross Abstract: Recursive models create computational depth through parameter reuse, offering a parameter-efficient alternative to increasing model size. However, mos

model-releasesarxiv-cs-ai
2 Oct 2026
Model Releases

Retrospective Open-Vocabulary Memory for Long-Term Object Search

DGX agent

arXiv:2610.00330v1 Announce Type: cross Abstract: Long-term object search requires learning where objects usually appear from repeated but uneven observations of a changing environment. We formulate r

DGX agent

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model-releasesarxiv-cs-cv
2 Oct 2026
Research

Scalable Delphi: Large Language Models for Structured Risk Estimation

DGX agent

arXiv:2602.08889v2 Announce Type: replace Abstract: Quantitative risk assessment relies on structured expert elicitation to estimate unobservable properties. The Delphi method produces calibrated, aud

researcharxiv-cs-ai
2 Oct 2026
Model Releases

Science or Slop?: Benchmarking and Mitigating Scientific Slop in AI-Generated Papers

DGX agent

arXiv:2610.00531v1 Announce Type: new Abstract: AI-generated content, often called AI slop, is increasingly common everywhere, particularly in academia. Slop in AI-generated scientific papers, however

model-releasesarxiv-cs-ai
2 Oct 2026
Model Releases

STATERA: Hidden Mass Estimation via Zero-Shot Sim-to-Real Kinematics using Frozen Temporal Tubelets

DGX agent

arXiv:2610.00003v1 Announce Type: cross Abstract: Vision models pretrained for frame-level appearance often struggle to infer hidden physical properties from motion. We study center-of-mass (CoM) loca

model-releasesarxiv-cs-ai
2 Oct 2026
Safety

Token Communication-Assisted Collaborative Embodied Artificial Intelligence: Concepts, Framework, and Opportunities

DGX agent

arXiv:2610.01826v1 Announce Type: cross Abstract: Collaborative embodied artificial intelligence (CEAI) enables multiple physical agents to perceive, reason, and act cooperatively in dynamic environme

safetyarxiv-cs-ai
2 Oct 2026
Safety

Where-OPD: Spatially Guided On-Policy Self-Distillation of MLLMs with Synthetic Scenes

DGX agent

arXiv:2610.02117v1 Announce Type: cross Abstract: On-policy self-distillation has recently emerged as an effective approach for improving language-model reasoning by supervising students with a frozen

safetyarxiv-cs-ai
2 Oct 2026
Safety

Why GRPO Needs Normalization: A Local-Curvature Perspective on Adaptive Gradients

DGX agent

arXiv:2601.23135v2 Announce Type: replace Abstract: Reinforcement learning (RL) has become a key driver of language model reasoning. Among RL algorithms, Group Relative Policy Optimization (GRPO) is t

safetyarxiv-cs-lg
2 Oct 2026
Tutorials

Adaptive-GEPA: Make Your Harness Fit Heterogeneous Requests

DGX agent

arXiv:2609.38762v1 Announce Type: cross Abstract: Reflective optimizers such as GEPA improve language model prompts from execution traces and evaluator feedback; full-program extensions can also rewri

tutorialsarxiv-cs-ai
1 Oct 2026
Agents

AssemblyWorld: Rethinking 3D Assembly with General-Purpose Agents

DGX agent

arXiv:2609.40353v1 Announce Type: new Abstract: The task of 3D assembly requires translating an understanding of parts and their relationships into precise spatial arrangements. Can pretrained general

agentsarxiv-cs-cv
1 Oct 2026
Safety

Automatic estimation of verbal fluency index in people with Motor Neuron Disease using ASR alignment and pause modelling

DGX agent

arXiv:2609.38203v1 Announce Type: cross Abstract: Monitoring cognitive impairment (CI) in motor neuron disease (MND) is essential for timely treatment and care, yet challenging due to co-occurring spe

safetyarxiv-cs-ai
1 Oct 2026
Model Releases

Breaking Babel: A Self-Evolving Multi-Agent System for Long-Form Subtitle Translation

DGX agent

arXiv:2609.38660v1 Announce Type: cross Abstract: Long-form subtitle translation requires reasoning over discourse and cultural context spanning episodes or entire series, while maintaining consistent

model-releasesarxiv-cs-ai
1 Oct 2026
Model Releases

Can an AI Agent Rediscover a Blaschke-Curve Invariant?

DGX agent

arXiv:2609.38369v1 Announce Type: new Abstract: We study generalized Blaschke curves as a controlled environment for AI-assisted mathematical rediscovery. For one fixed degree-four Blaschke product, a

model-releasesarxiv-cs-ai
1 Oct 2026
Tutorials

Candidate Retention for Abductive Learning

DGX agent

arXiv:2609.39561v1 Announce Type: cross Abstract: Abductive learning combines neural perception with symbolic reasoning, using explanations generated by abduction to supervise the perception model. Mu

tutorialsarxiv-cs-ai
1 Oct 2026
Model Releases

ChartDensity-Bench: Benchmarking MLLMs for Numerical Data Reconstruction under Visual Density

DGX agent

arXiv:2609.38781v1 Announce Type: cross Abstract: Multimodal large language models (MLLMs) offer a promising approach for recovering numerical data from scientific charts, but their ability to reconst

model-releasesarxiv-cs-ai
1 Oct 2026
Model Releases

Cheap to Draw, Expensive to Trust: Certifying Test-Time Scaling Curves

DGX agent

arXiv:2609.40190v1 Announce Type: cross Abstract: Sampling several answers and keeping the one a verifier scores highest is one of the simplest ways to buy accuracy at test time. Its effect is reporte

model-releasesarxiv-cs-cl
1 Oct 2026
Safety

Concept-Grounded Attention: A Controlled Evaluation of Graph-Injected Attention, Temporal Versioning, and Epistemic Status

DGX agent

arXiv:2609.38684v1 Announce Type: new Abstract: Knowledge-intensive language-model systems typically represent external knowledge as text chunks or static graphs, with limited support for concept evol

safetyarxiv-cs-ai
1 Oct 2026
Research

Concurrent Semantic Search and Mission Execution for LTL Missions in Unknown Environments

DGX agent

arXiv:2609.39153v1 Announce Type: new Abstract: Planning complex missions in unknown environments requires robots to reason simultaneously about what they should do and what they still need to discove

researcharxiv-cs-ro
1 Oct 2026
Safety

Conditional Generation of Creative Chess Puzzles with Diffusion Models

DGX agent

arXiv:2609.38577v1 Announce Type: new Abstract: While modern language models demonstrate impressive generative capabilities, they often struggle with constrained, counter-intuitive creative tasks. To

safetyarxiv-cs-ai
1 Oct 2026
Research

Disentangling Self-Distillation: Measuring and Modeling Acquisition and Retention

DGX agent

arXiv:2609.39494v1 Announce Type: new Abstract: Self-distillation with privileged context adapts a language model from demonstrations by letting the model, once conditioned on a reference response, te

researcharxiv-cs-ai
1 Oct 2026
Model Releases

EviRover: Reinforcing Agentic Perception Beyond a Glance

DGX agent

arXiv:2609.40230v1 Announce Type: cross Abstract: Visual perception is conventionally formulated as a one-shot prediction from a single glance at the image, under the assumption that the image content

model-releasesarxiv-cs-ai
1 Oct 2026
Research

Examining Variation in How Guided AI Tutors Resolve Student Impasses

DGX agent

arXiv:2609.38346v1 Announce Type: new Abstract: When a student is stuck, a tutor faces the assistance dilemma: help given too early can hinder productive struggle, while help withheld too long leaves

researcharxiv-cs-ai
1 Oct 2026
Research

Inferring Causal Relations between Two Sequences of Events with Language Models

DGX agent

arXiv:2609.39406v1 Announce Type: new Abstract: Causal AI is a branch of Artificial Intelligence which helps understand and reason about cause and effect relationships, not just patterns or correlatio

researcharxiv-cs-ai
1 Oct 2026
Research

Lasting Effects of Abstract Pretraining Beyond Perplexity

DGX agent

arXiv:2609.38764v1 Announce Type: new Abstract: Language models are typically pretrained from random initialization. Recent work challenges this convention, showing that a brief warm-up on abstract, a

researcharxiv-cs-lg
1 Oct 2026
Local Ai

LEAP: Learned Block-wise Evidence Retrieval for Long Audio-Video Perception

DGX agent

arXiv:2609.39938v1 Announce Type: cross Abstract: Hour-scale audio-visual question answering is constrained by a context dilemma: dense whole-recording encoding rapidly exhausts context limits, wherea

local-aiarxiv-cs-ai
1 Oct 2026
Safety

LexReward: A Taxonomy-Driven Reward Framework for Legal Language Models

DGX agent

arXiv:2609.39071v1 Announce Type: new Abstract: Legal language models require reward signals that capture not only answer correctness but also the multidimensional quality of legal responses. Existing

safetyarxiv-cs-cl
1 Oct 2026
Research

LoopVL: Recurrent Visual Intelligence

DGX agent

arXiv:2609.38426v1 Announce Type: cross Abstract: We introduce LoopVL to study whether Loop Transformers can be effectively extended to vision- language models. LoopVL combines Module-Loop and Model-L

researcharxiv-cs-cl
1 Oct 2026
Model Releases

Make Code as Policy Great Again: Frontier Agents Write, Call, and Evolve Robot Tools

DGX agent

arXiv:2609.39018v1 Announce Type: cross Abstract: Frontier models can control robots, but reasoning through every reach, grasp, and retreat makes manipulation slow and token-intensive. We revisit code

model-releasesarxiv-cs-ai
1 Oct 2026
Hardware

MEMO: Multi-Level Entity-Aware Memory for Streaming Video Understanding

DGX agent

arXiv:2609.38900v1 Announce Type: new Abstract: Streaming video understanding requires models to process unbounded visual streams while preserving rich visual semantics across vast temporal horizons,

hardwarearxiv-cs-cv
1 Oct 2026
Model Releases

Multi-agent discussion gains less when dissent is withheld

DGX agent

arXiv:2609.38324v1 Announce Type: cross Abstract: Multi-agent systems of LLMs add discussion to majority voting and are therefore expected to be more capable. However, empirical reports conflict on wh

model-releasesarxiv-cs-cl
1 Oct 2026
Agents

Occlusion-Aware, Quasi-Static, Stability-Oriented Trajectory Planning on Uneven Terrain

DGX agent

arXiv:2609.39105v1 Announce Type: new Abstract: Autonomous navigation in unstructured off-road environments requires reasoning about both vehicle--terrain interaction and environmental unknowns. We pr

agentsarxiv-cs-ro
1 Oct 2026
Safety

OPSRD: On-Policy Self-Role Distillation

DGX agent

arXiv:2609.39884v1 Announce Type: cross Abstract: Role prompting elicits specialized behavior from large language models through an expert identity, offering a lightweight way to guide reasoning on de

safetyarxiv-cs-ai
1 Oct 2026
Safety

Over-Personalization Is a Decision Failure: Generation-Induced Apply Bias in LLMs

DGX agent

arXiv:2609.34284v2 Announce Type: replace Abstract: Personalized LLMs must decide, for each stored preference, whether the current context calls for applying or suppressing it, which we call its appli

safetyarxiv-cs-cl
1 Oct 2026
Model Releases

SceneJail: Exploiting Video Scenario Context to Jailbreak Multimodal LLMs

DGX agent

arXiv:2609.38899v1 Announce Type: cross Abstract: Video Multimodal Large Language Models (Video-MLLMs) support reasoning over video inputs, yet remain vulnerable to jailbreak attacks that elicit polic

model-releasesarxiv-cs-ai
1 Oct 2026
Agents

SEPAL: Separated Expert Pairs with Answer-Level Fusion for Reliable LLM Collaboration

DGX agent

arXiv:2609.39645v1 Announce Type: cross Abstract: Multi-agent collaboration lets large language models (LLMs) improve question answering through deliberation and feedback. Yet shared discussion couple

agentsarxiv-cs-ai
1 Oct 2026
Safety

Shared Weights, Selected Computations: How Looped Transformers Route What Each Loop Does

DGX agent

arXiv:2609.39892v1 Announce Type: new Abstract: Looped Transformers repeatedly apply the same set of Transformer layers, giving them a recurrent architecture for latent computation. Their strong perfo

safetyarxiv-cs-lg
1 Oct 2026
Safety

SimEX: Simulation-Integrated Robotics AutoResearch

DGX agent

arXiv:2609.38982v1 Announce Type: cross Abstract: Coding agents powered by large language models (LLMs) have shown remarkable abilities to autonomously reason about and achieve goals in the digital wo

safetyarxiv-cs-ai
1 Oct 2026
Research

StreamDecisionBench: Evaluating Decisions in Force on Evolving Language Streams

DGX agent

arXiv:2609.38612v1 Announce Type: new Abstract: As natural language drives more applications, language models increasingly run inside programs as decision components: the program sends them the curren

researcharxiv-cs-cl
1 Oct 2026
Local Ai

TACTIC: Temporal and Context-Aware LLM Tactical Planning for Roadside LiDAR Attacks

DGX agent

arXiv:2609.39969v1 Announce Type: cross Abstract: Physical LiDAR attacks are often evaluated using fixed primitives and manually selected parameters, despite their strong dependence on surrounding tra

local-aiarxiv-cs-ai
1 Oct 2026
Agents

Thinking Outside the Box: Can Language Models Rely on External Guidance Selectively?

DGX agent

arXiv:2609.39578v1 Announce Type: new Abstract: Agent harnesses often improve language models with human-designed workflows, but as models grow more capable, unreliable guidance can increasingly const

agentsarxiv-cs-cl
1 Oct 2026
Research

Towards Better Exploration in Sequential Test-Time Scaling

DGX agent

arXiv:2609.39632v1 Announce Type: new Abstract: Test-time scaling improves language model reasoning by spending additional compute at inference. However, both classes of existing methods often fail to

researcharxiv-cs-lg
1 Oct 2026
Research

Unlearning Deceptive Behaviors in LLMs with Contrastive Forget Sets

DGX agent

arXiv:2609.38909v1 Announce Type: cross Abstract: Large language models often know the truth and say otherwise: a model that answers correctly when asked neutrally will affirm a user's mistaken belief

researcharxiv-cs-ai
1 Oct 2026
Model Releases

Where MLLMs Fail and Why: Causal Task Decomposition for Capability Failure Diagnosis

DGX agent

arXiv:2609.38851v1 Announce Type: cross Abstract: End-to-end accuracy on compositional tasks records how often MLLMs fail, but cannot distinguish whether a failure reflects an intrinsic deficit in the

model-releasesarxiv-cs-ai
1 Oct 2026
Model Releases

AdaptArena: Evaluating Test-Time Personalization of Web Agents

DGX agent

arXiv:2609.36488v1 Announce Type: new Abstract: Large language model (LLM) agents have demonstrated strong performance on complex web navigation tasks, yet they remain brittle in real-world settings w

model-releasesarxiv-cs-lg
30 Sept 2026
Model Releases

Adaptive Consistency Graph for Long-Horizon Agents

DGX agent

arXiv:2609.32754v2 Announce Type: replace Abstract: Large language model agents can often make reasonable local decisions on short tasks, yet their performance degrades when success requires long sequ

model-releasesarxiv-cs-ai
30 Sept 2026
Agents

Backdoor in the Loop: Compromising Agentic Search via Malicious Retrievers

DGX agent

arXiv:2609.37468v1 Announce Type: cross Abstract: Agentic retrieval-augmented generation (RAG) interleaves reasoning with repeated retrieval, giving the retriever influence over both the evidence an a

agentsarxiv-cs-ai
30 Sept 2026
Model Releases

Beyond Symmetric Agents: Cognitive Diversity and Multi-Agent Debate in Small Language Models

DGX agent

arXiv:2609.35875v1 Announce Type: new Abstract: Multi-agent debate (MAD) reportedly improves reasoning and factuality over single-model inference, but prior work treats agents as symmetric peers, leav

model-releasesarxiv-cs-ai
30 Sept 2026
Model Releases

Block Sparse Flash Attention

DGX agent

arXiv:2512.07011v2 Announce Type: replace-cross Abstract: Modern large language models increasingly require long contexts for reasoning and multi-document tasks, but attention's quadratic complexity c

model-releasesarxiv-cs-cl
30 Sept 2026
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