arxiv
PublishedOctober 28, 2026 at 4:00 AM
Trainable Boundary-Keeping Where No Formal Answer Exists: A Controlled Knock-In Study of Reward Training in Evidence-Sufficiency Judgment
Publisher summary· verbatim
arXiv:2610.35226v1 Announce Type: cross Abstract: Reasoning-tuned and reward-trained models are often assumed to verify more reliably because they reason longer or receive correctness signals. We test this in evidence-sufficiency judgment: deciding whether available information actually supports a c
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Originally published on arxiv ↗