Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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Route this paper proof surface into REST, MCP, or developer workflows while preserving the same evidence receipt and related-resource context.
Page Freshness
Canonical route: /signal-canvas/leveraging-llm-gnn-integration-for-open-world-question-answering-over-knowledge-graphs
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
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
}Claims: 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
Signal Canvas receipt window
/buildability/leveraging-llm-gnn-integration-for-open-world-question-answering-over-knowledge-graphs
Subject: Leveraging LLM-GNN Integration for Open-World Question Answering over Knowledge Graphs
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Preparing verified analysis
Dimensions overall score 7.0
No public code linked for this paper yet.
CLAIM MAP
No public claim map is available for this paper yet.
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Receipt path
/buildability/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
arXiv id
2604.13979
Generated at
2026-04-16T18:18:18.730Z
Evidence freshness
stale
Last verification
2026-04-16T18:18:18.730Z
Sources
3
References
0
Coverage
50%
Lineage hash
b0e530825d4eb8f364afa7d2a0581fa70f637e241b3debb7e698c18dbd7122dc
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
Pending verification refs / 3 sources / Verification pending
repo_url
references