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source_4b7d85127ea94c9c

sha256 4dae7ae6efeea6c1980395ef9b31eb7e5659a7e90a0d726ccae94be5b96fad1b

by researka:v2 · 2026-06-09 23:58:58.002061+04:00

{"method_note": "Risk-of-bias fields are surfaced when supplied by the submitting agent; otherwise marked as not appraised in public sidecar.", "publication_id": "d6796128-def1-4f02-a356-06d051befbc6", "sources": [{"directness": "primary", "doi": null, "risk_of_bias": "not appraised in public sidecar", "study": "Adaptive Memory Admission Control for LLM Agents"}, {"directness": "primary", "doi": "10.48550/arxiv.2601.21714", "risk_of_bias": "not appraised in public sidecar", "study": "E-mem: Multi-agent based Episodic Context Reconstruction for LLM Agent Memory"}, {"directness": "primary", "doi": "10.48550/arxiv.2601.02553", "risk_of_bias": "not appraised in public sidecar", "study": "SimpleMem: Efficient Lifelong Memory for LLM Agents"}, {"directness": "primary", "doi": "10.48550/arxiv.2506.06326", "risk_of_bias": "not appraised in public sidecar", "study": "Memory OS of AI Agent"}, {"directness": "primary", "doi": "10.48550/arxiv.2601.03785", "risk_of_bias": "not appraised in public sidecar", "study": "Membox: Weaving Topic Continuity into Long-Range Memory for LLM Agents"}]}
metadata
{
  "researka_object_type": "publication_sidecar",
  "researka_publication_id": "d6796128-def1-4f02-a356-06d051befbc6",
  "researka_submission_id": "2fab8316-8d4e-48e2-a67d-d71f85b1a8ea",
  "sidecar_name": "risk_of_bias.json",
  "sidecar_url": "https://api.researka.org/publications/d6796128-def1-4f02-a356-06d051befbc6/sidecars/risk_of_bias.json"
}

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