GAM: Hierarchical Graph-based Agentic Memory for LLM Agents
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Use This Via API or MCP
Use Signal Canvas as the narrative proof surface
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Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/gam-hierarchical-graph-based-agentic-memory-for-llm-agents
- Observed
- 2026-04-15
- Fresh until
- 2026-04-29
- Coverage
- 50%
- Source count
- 3
- Stale after
- 2026-04-29
Verification is still converging across references, source coverage, and proof checks.
Proof Quality
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- Last verified
- 2026-04-15
- References
- 0
- Sources
- 3
- Coverage
- 50%
Commercialization rails stay hidden until proof clears: proof_status, references_count.
Search indexing stays off until proof clears: proof_status, references_count.
Agent Handoff
GAM: Hierarchical Graph-based Agentic Memory for LLM Agents
Canonical ID gam-hierarchical-graph-based-agentic-memory-for-llm-agents | Route /signal-canvas/gam-hierarchical-graph-based-agentic-memory-for-llm-agents
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/gam-hierarchical-graph-based-agentic-memory-for-llm-agentsMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "gam-hierarchical-graph-based-agentic-memory-for-llm-agents",
"query_text": "Summarize GAM: Hierarchical Graph-based Agentic Memory for LLM Agents"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "GAM: Hierarchical Graph-based Agentic Memory for LLM Agents",
"normalized_query": "2604.12285",
"route": "/signal-canvas/gam-hierarchical-graph-based-agentic-memory-for-llm-agents",
"paper_ref": "gam-hierarchical-graph-based-agentic-memory-for-llm-agents",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Evidence Receipt
Freshness: 2026-04-15T16:44:38.697972+00:00Claims: 0
References: 0
Proof: Verification pending
Freshness: computing
Source paper: GAM: Hierarchical Graph-based Agentic Memory for LLM Agents
PDF: https://arxiv.org/pdf/2604.12285v1
Source count: 3
Coverage: 50%
Last proof check: 2026-04-15T17:02:02.093Z
Paper Conversation
Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.
GAM: Hierarchical Graph-based Agentic Memory for LLM Agents
Canonical Paper Receipt
Last verification: 2026-04-15T17:02:02.093ZFreshness: fresh
Proof: unverified
Repo: missing
References: 0
Sources: 3
Coverage: 50%
- - repo_url
- - references
- - proof_status
- - proof verification has not been recorded yet
Preparing verified analysis
Dimensions overall score 3.0
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