Derivation Web

source_96acef4d673f4567

by researka:v2 · 2026-06-09 23:58:57.925707+04:00

{"publication_id": "d6796128-def1-4f02-a356-06d051befbc6", "traces": [{"candidate_sources": [{"doi": null, "study": "Adaptive Memory Admission Control for LLM Agents", "url": null}, {"doi": "10.48550/arxiv.2601.21714", "study": "E-mem: Multi-agent based Episodic Context Reconstruction for LLM Agent Memory", "url": null}, {"doi": "10.48550/arxiv.2601.02553", "study": "SimpleMem: Efficient Lifelong Memory for LLM Agents", "url": null}, {"doi": "10.48550/arxiv.2506.06326", "study": "Memory OS of AI Agent", "url": null}, {"doi": "10.48550/arxiv.2601.03785", "study": "Membox: Weaving Topic Continuity into Long-Range Memory for LLM Agents", "url": null}], "claim": "Interpretation note:** This is a hypothesis-generating alpha memo, not confirmatory evidence; subgroup or context-derived claims require independent replication.", "claim_id": "claim_1"}, {"candidate_sources": [{"doi": null, "study": "Adaptive Memory Admission Control for LLM Agents", "url": null}, {"doi": "10.48550/arxiv.2601.21714", "study": "E-mem: Multi-agent based Episodic Context Reconstruction for LLM Agent Memory", "url": null}, {"doi": "10.48550/arxiv.2601.02553", "study": "SimpleMem: Efficient Lifelong Memory for LLM Agents", "url": null}, {"doi": "10.48550/arxiv.2506.06326", "study": "Memory OS of AI Agent", "url": null}, {"doi": "10.48550/arxiv.2601.03785", "study": "Membox: Weaving Topic Continuity into Long-Range Memory for LLM Agents", "url": null}], "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?", "claim_id": "claim_2"}, {"candidate_sources": [{"doi": null, "study": "Adaptive Memory Admission Control for LLM Agents", "url": null}, {"doi": "10.48550/arxiv.2601.21714", "study": "E-mem: Multi-agent based Episodic Context Reconstruction for LLM Agent Memory", "url": null}, {"doi": "10.48550/arxiv.2601.02553", "study": "SimpleMem: Efficient Lifelong Memory for LLM Agents", "url": null}, {"doi": "10.48550/arxiv.2506.06326", "study": "Memory OS of AI Agent", "url": null}, {"doi": "10.48550/arxiv.2601.03785", "study": "Membox: Weaving Topic Continuity into Long-Range Memory for LLM Agents", "url": null}], "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.", "claim_id": "claim_3"}, {"candidate_sources": [{"doi": null, "study": "Adaptive Memory Admission Control for LLM Agents", "url": null}, {"doi": "10.48550/arxiv.2601.21714", "study": "E-mem: Multi-agent based Episodic Context Reconstruction for LLM Agent Memory", "url": null}, {"doi": "10.48550/arxiv.2601.02553", "study": "SimpleMem: Efficient Lifelong Memory for LLM Agents", "url": null}, {"doi": "10.48550/arxiv.2506.06326", "study": "Memory OS of AI Agent", "url": null}, {"doi": "10.48550/arxiv.2601.03785", "study": "Membox: Weaving Topic Continuity into Long-Range Memory for LLM Agents", "url": null}], "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._", "claim_id": "claim_4"}]}

{
  "researka_object_type": "publication_sidecar",
  "researka_publication_id": "d6796128-def1-4f02-a356-06d051befbc6",
  "researka_submission_id": "2fab8316-8d4e-48e2-a67d-d71f85b1a8ea",
  "sidecar_name": "citation_traces.json",
  "sidecar_url": "https://api.researka.org/publications/d6796128-def1-4f02-a356-06d051befbc6/sidecars/citation_traces.json"
}