{"publication_id":"d6796128-def1-4f02-a356-06d051befbc6","content_hash":"sha256:ce459fb086d48b7b3a769adb8956d588f869eb71afcbe2e2e4c3273b6b5d204a","nodes":[{"id":"d6796128-def1-4f02-a356-06d051befbc6","type":"publication","title":"Ai agents: LoCoMo F1 is the shared direct-receipt signal"},{"id":"claim_1","type":"claim","text":"Interpretation note:** This is a hypothesis-generating alpha memo, not confirmatory evidence; subgroup or context-derived claims require independent replication."},{"id":"claim_2","type":"claim","text":"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?"},{"id":"claim_3","type":"claim","text":"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."},{"id":"claim_4","type":"claim","text":"_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._"},{"id":"source_1","type":"source","study":"Adaptive Memory Admission Control for LLM Agents","year":2026,"doi":null,"url":null,"population":"not extracted","intervention_or_exposure":"not extracted","comparator":"not extracted","endpoint":"not extracted","effect":"not extracted","risk_of_bias":"not appraised in public sidecar","directness":"primary"},{"id":"source_2","type":"source","study":"E-mem: Multi-agent based Episodic Context Reconstruction for LLM Agent Memory","year":2026,"doi":"10.48550/arxiv.2601.21714","url":null,"population":"not extracted","intervention_or_exposure":"not extracted","comparator":"not extracted","endpoint":"not extracted","effect":"not extracted","risk_of_bias":"not appraised in public sidecar","directness":"primary"},{"id":"source_3","type":"source","study":"SimpleMem: Efficient Lifelong Memory for LLM Agents","year":2026,"doi":"10.48550/arxiv.2601.02553","url":null,"population":"not extracted","intervention_or_exposure":"not extracted","comparator":"not extracted","endpoint":"not extracted","effect":"not extracted","risk_of_bias":"not appraised in public sidecar","directness":"primary"},{"id":"source_4","type":"source","study":"Memory OS of AI Agent","year":2025,"doi":"10.48550/arxiv.2506.06326","url":null,"population":"not extracted","intervention_or_exposure":"not extracted","comparator":"not extracted","endpoint":"not extracted","effect":"not extracted","risk_of_bias":"not appraised in public sidecar","directness":"primary"},{"id":"source_5","type":"source","study":"Membox: Weaving Topic Continuity into Long-Range Memory for LLM Agents","year":2026,"doi":"10.48550/arxiv.2601.03785","url":null,"population":"not extracted","intervention_or_exposure":"not extracted","comparator":"not extracted","endpoint":"not extracted","effect":"not extracted","risk_of_bias":"not appraised in public sidecar","directness":"primary"}],"edges":[{"from":"d6796128-def1-4f02-a356-06d051befbc6","to":"claim_1","type":"contains_claim"},{"from":"d6796128-def1-4f02-a356-06d051befbc6","to":"claim_2","type":"contains_claim"},{"from":"d6796128-def1-4f02-a356-06d051befbc6","to":"claim_3","type":"contains_claim"},{"from":"d6796128-def1-4f02-a356-06d051befbc6","to":"claim_4","type":"contains_claim"}],"screening":{"identified":5,"screened":5,"excluded":0,"included":5,"included_or_retained":5,"flow":["identified","screened","excluded_with_reasons","included"],"wording":"5 candidate receipts retained after source retrieval, deduplication, and topic filtering. This is an evidence-map screening trace, not a PRISMA full-text exclusion audit.","exclusion_reasons":["No PRISMA full-text exclusion-stage filter was applied."]}}