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ClaimNov is introduced, a fine-grained, interpretable claim-level novelty module that catches 97% of disguised papers at a 1.5% false-alarm rate, and cuts the LLM judge's false alarms from 11.8% to 1.5%.
StateMem is presented, a state-first memory method that explicitly tracks supersession and relational dependencies, and it is shown it improves current-state accuracy over the strongest same-backbone baseline and over the strongest memory system, while remaining competitive with the long-context baselines.
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