HingeMem: Boundary Guided Long-Term Memory with Query Adaptive Retrieval for Scalable Dialogues explores HingeMem introduces a boundary-guided long-term memory system for dialogues with query-adaptive retrieval, improving efficiency and accuracy for extended interactions.. Commercial viability score: 6/10 in Dialogue Memory Systems.
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This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Freshness
Canonical route: /paper/hingemem-boundary-guided-long-term-memory-with-query-adaptive-retrieval-for-scalable-dialogues
Proof data is outside the preferred freshness window.
Proof Quality
One canonical proof ledger now drives the badge, counts, indexing, and commercialization gating.
Commercialization rails stay hidden until proof clears: proof_status.
Search indexing stays off until proof clears: proof_status.
Agent Handoff
Canonical ID hingemem-boundary-guided-long-term-memory-with-query-adaptive-retrieval-for-scalable-dialogues | Route /paper/hingemem-boundary-guided-long-term-memory-with-query-adaptive-retrieval-for-scalable-dialogues
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/hingemem-boundary-guided-long-term-memory-with-query-adaptive-retrieval-for-scalable-dialoguesMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.06845"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "HingeMem: Boundary Guided Long-Term Memory with Query Adaptive Retrieval for Scalable Dialogues",
"normalized_query": "2604.06845",
"route": "/paper/hingemem-boundary-guided-long-term-memory-with-query-adaptive-retrieval-for-scalable-dialogues",
"paper_ref": "hingemem-boundary-guided-long-term-memory-with-query-adaptive-retrieval-for-scalable-dialogues",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
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Dimensions overall score 6.0
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