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cs.AI2026

Trust the Edge, Doubt the Arrow: Auditing Validation Signals for Text-Mined Clinical Causal Knowledge Graphs

Su Lan, Shicheng Zhou, Yiqi Wang +3

Clinical causal retrieval-augmented generation systems increasingly use knowledge graphs (KGs) mined from notes, yet extracted assertions remain candidates that require audit for p…

cs.AI2026

MAP-Graph: Provenance-Aware Shared Memory for Multi-Agent Workflows

Yiqi Wang, Zihao Yan, Jiaqi Zhang +5

Shared memory helps language-model agents reuse information across long workflows, yet relevant evidence may not be admissible for a particular agent or action. Because restriction…

cs.AI2026

From Faulty Memories to Corrected Actions: Dependency-Guided Rollback Repair for Memory-Augmented Agents

Caili Yu, Yiqi Wang, Jiaqi Zhang +5

Persistent memory lets language model agents reuse information across sessions, but it also makes errors durable: a poisoned, stale, or misattributed record can alter reasoning, to…

cs.AI2026

MemTX: Transactional Belief Commit for Stateful Agent Memory

Xiaoyang Li, Yiqi Wang, Haohui Lu +5

LLM agents increasingly coordinate through persistent shared memory: one agent's write becomes another agent's premise, and eventually a tool call with real side effects. Current a…

cs.AI2026

CogniFold: Always-On Proactive Memory via Cognitive Folding

Suli Wang, Yiqun Duan, Yu Deng +6

Existing agent memory remains predominantly reactive and retrieval-based, lacking the capacity to autonomously organize experience into persistent cognitive structure. Toward genui…