Leveraging LLM-GNN Integration for Open-World Question Answering over Knowledge Graphs
Compared to this week’s papers
Verification pending
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/leveraging-llm-gnn-integration-for-open-world-question-answering-over-knowledge-graphs
- Observed
- 2026-04-16
- Fresh until
- 2026-04-30
- Coverage
- 50%
- Source count
- 3
- Stale after
- 2026-04-30
Verification is still converging across references, source coverage, and proof checks.
Proof Quality
One canonical proof ledger now drives the badge, counts, indexing, and commercialization gating.
- Last verified
- 2026-04-16
- 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
Leveraging LLM-GNN Integration for Open-World Question Answering over Knowledge Graphs
Canonical ID leveraging-llm-gnn-integration-for-open-world-question-answering-over-knowledge-graphs | Route /signal-canvas/leveraging-llm-gnn-integration-for-open-world-question-answering-over-knowledge-graphs
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/leveraging-llm-gnn-integration-for-open-world-question-answering-over-knowledge-graphsMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "leveraging-llm-gnn-integration-for-open-world-question-answering-over-knowledge-graphs",
"query_text": "Summarize Leveraging LLM-GNN Integration for Open-World Question Answering over Knowledge Graphs"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Leveraging LLM-GNN Integration for Open-World Question Answering over Knowledge Graphs",
"normalized_query": "2604.13979",
"route": "/signal-canvas/leveraging-llm-gnn-integration-for-open-world-question-answering-over-knowledge-graphs",
"paper_ref": "leveraging-llm-gnn-integration-for-open-world-question-answering-over-knowledge-graphs",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Evidence Receipt
Route status: buildingClaims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Leveraging LLM-GNN Integration for Open-World Question Answering over Knowledge Graphs
PDF: https://arxiv.org/pdf/2604.13979v1
Source count: 3
Coverage: 50%
Last proof check: 2026-04-16T18:18:18.730Z
Paper Conversation
Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.
Leveraging LLM-GNN Integration for Open-World Question Answering over Knowledge Graphs
Canonical Paper Receipt
Last verification: 2026-04-16T18:18:18.730ZFreshness: 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 7.0
GitHub Code Pulse
No public code linked for this paper yet.
Claim map
No public claim map is available for this paper yet.
Startup potential card
Related Resources
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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