{"publication_id":"d6796128-def1-4f02-a356-06d051befbc6","traces":[{"claim_id":"claim_1","claim":"Interpretation note:** This is a hypothesis-generating alpha memo, not confirmatory evidence; subgroup or context-derived claims require independent replication.","candidate_sources":[{"study":"Adaptive Memory Admission Control for LLM Agents","doi":null,"url":null},{"study":"E-mem: Multi-agent based Episodic Context Reconstruction for LLM Agent Memory","doi":"10.48550/arxiv.2601.21714","url":null},{"study":"SimpleMem: Efficient Lifelong Memory for LLM Agents","doi":"10.48550/arxiv.2601.02553","url":null},{"study":"Memory OS of AI Agent","doi":"10.48550/arxiv.2506.06326","url":null},{"study":"Membox: Weaving Topic Continuity into Long-Range Memory for LLM Agents","doi":"10.48550/arxiv.2601.03785","url":null}]},{"claim_id":"claim_2","claim":"Bounded research question:** Do independent direct receipts on LoCoMo continue to support a signal on F1 for the cited systems when comparators are kept explicit?","candidate_sources":[{"study":"Adaptive Memory Admission Control for LLM Agents","doi":null,"url":null},{"study":"E-mem: Multi-agent based Episodic Context Reconstruction for LLM Agent Memory","doi":"10.48550/arxiv.2601.21714","url":null},{"study":"SimpleMem: Efficient Lifelong Memory for LLM Agents","doi":"10.48550/arxiv.2601.02553","url":null},{"study":"Memory OS of AI Agent","doi":"10.48550/arxiv.2506.06326","url":null},{"study":"Membox: Weaving Topic Continuity into Long-Range Memory for LLM Agents","doi":"10.48550/arxiv.2601.03785","url":null}]},{"claim_id":"claim_3","claim":"Treat this as a benchmark-shaped evidence bundle, not a broad claim about the whole topic. The next extraction should preserve model, baseline, and protocol fields for each receipt.","candidate_sources":[{"study":"Adaptive Memory Admission Control for LLM Agents","doi":null,"url":null},{"study":"E-mem: Multi-agent based Episodic Context Reconstruction for LLM Agent Memory","doi":"10.48550/arxiv.2601.21714","url":null},{"study":"SimpleMem: Efficient Lifelong Memory for LLM Agents","doi":"10.48550/arxiv.2601.02553","url":null},{"study":"Memory OS of AI Agent","doi":"10.48550/arxiv.2506.06326","url":null},{"study":"Membox: Weaving Topic Continuity into Long-Range Memory for LLM Agents","doi":"10.48550/arxiv.2601.03785","url":null}]},{"claim_id":"claim_4","claim":"_No direct opposing receipt was selected by this run. Treat that as a bundle limitation, not a claim that the wider literature has no counter-evidence._","candidate_sources":[{"study":"Adaptive Memory Admission Control for LLM Agents","doi":null,"url":null},{"study":"E-mem: Multi-agent based Episodic Context Reconstruction for LLM Agent Memory","doi":"10.48550/arxiv.2601.21714","url":null},{"study":"SimpleMem: Efficient Lifelong Memory for LLM Agents","doi":"10.48550/arxiv.2601.02553","url":null},{"study":"Memory OS of AI Agent","doi":"10.48550/arxiv.2506.06326","url":null},{"study":"Membox: Weaving Topic Continuity into Long-Range Memory for LLM Agents","doi":"10.48550/arxiv.2601.03785","url":null}]}]}