Evidence-Inference Reconstruction: When The Evidence Is Recalled But The Reasoning Goes Wrong

arXiv:2609.33778 · cs.AI · Submitted 2026-09-27 · Read on arXiv

cs.AI

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Benchmark — 56× in this paper · explained in 2 episodes
• Exact Match — 27× in this paper
• Accuracy — 18× in this paper · explained in 1 episode
• Verification — 15× in this paper · explained in 2 episodes
• Trace — 9× in this paper · explained in 2 episodes
• Evidence-Inference Reconstruction — 7× in this paper
• Adaptation — 4× in this paper · explained in 1 episode
• RAG — 4× in this paper · explained in 3 episodes
• Verifier — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Retrieval-Augmented Generation — 2× in this paper
• Agentic Retrieval — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Multi-hop Reasoning — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes

Sources

• FAIR-RAG: Faithful Adaptive Iterative Refinement for Retrieval-Augmented Generation
• Track, Rank, Crack: Epistemic Working Memory Scales Multi-Hop Reasoning in Language Agents
• SSR: Socratic Self-Refine for Large Language Model Reasoning

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