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4342 papers explained. Page 7 of 218.
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arXiv:2609.26175
· explained 2026-09-26
EADC: Evaluation of Advanced and Deep-level Compliance in Large Language Models
arXiv:2609.20543
· explained 2026-09-26
Language-model groups overstate
arXiv:2609.20449
· explained 2026-09-26
The Organization of Inference: Information, Resource Constraints, and AI Production
arXiv:2609.20271
· explained 2026-09-26
AI-Driven Real-Time Relay Optimisation in Smart Urban NR-V2X Networks via Learning-to-Optimise Graph Neural Networks
arXiv:2609.20349
· explained 2026-09-26
A Qualitative Model for Reasoning about Path and Support
arXiv:2609.20358
· explained 2026-09-26
Generating Heterogeneous 3D Geological Microstructures from 2D
arXiv:2609.20732
· explained 2026-09-26
Q A on Any Spreadsheet Requires Interpreting Its Grid Structure
arXiv:2609.20261
· explained 2026-09-26
When AI Agents Commit: Cognitive Serializability Across Data, Evidence, Policy, and Authority
arXiv:2609.20301
· explained 2026-09-26
AgentPProf: Semantic Profiler for Long Horizon AI Agents
arXiv:2609.20658
· explained 2026-09-26
Ownership in AI-Assisted Everyday Tasks
arXiv:2609.20474
· explained 2026-09-26
How Do Agent Harnesses Create Value? Planning Information and Release Control in Stateful LLM Agents
arXiv:2609.30264
· explained 2026-09-26
AD-WM: Action-Discriminative World Models for Counterfactual Model Predictive Control
arXiv:2609.26550
· explained 2026-09-25
JEV-as-a-Judge: Accept When Confident, Escalate When Unsure
arXiv:2609.26779
· explained 2026-09-25
CliffCompaction: Cost-Efficient Compaction for Long-Horizon Coding Agents
arXiv:2609.26461
· explained 2026-09-23
Reproducible AI Requires Reproducible Randomness
arXiv:2609.26193
· explained 2026-09-23
Identifying Intelligent Processes via Online Sequential Testing
arXiv:2509.13351
· explained 2026-09-23
Teaching LLMs to Plan: Logical Chain-of-Thought Instruction Tuning for Symbolic Planning
arXiv:2609.26261
· explained 2026-09-23
Coding Agents are Strong Prompt Optimizers
arXiv:2609.26428
· explained 2026-09-23
The Source of Disturbance Matters: External, Internal, and Control-Generated Noise in Adaptive Regulation
arXiv:2609.26207
· explained 2026-09-23
RCShift: Certifying When Partial Linkage Suffices for Finite-Sample Decisions
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