Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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Page Freshness
Canonical route: /signal-canvas/neural-scalable-symbolic-search-framework-for-complex-logical-queries-with-multiple-free-variables
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 neural-scalable-symbolic-search-framework-for-complex-logical-queries-with-multiple-free-variables | Route /signal-canvas/neural-scalable-symbolic-search-framework-for-complex-logical-queries-with-multiple-free-variables
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/neural-scalable-symbolic-search-framework-for-complex-logical-queries-with-multiple-free-variablesMCP example
{
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"arguments": {
"mode": "paper",
"paper_ref": "neural-scalable-symbolic-search-framework-for-complex-logical-queries-with-multiple-free-variables",
"query_text": "Summarize Neural Scalable Symbolic Search Framework for Complex Logical Queries with Multiple Free Variables"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Neural Scalable Symbolic Search Framework for Complex Logical Queries with Multiple Free Variables",
"normalized_query": "2605.25985",
"route": "/signal-canvas/neural-scalable-symbolic-search-framework-for-complex-logical-queries-with-multiple-free-variables",
"paper_ref": "neural-scalable-symbolic-search-framework-for-complex-logical-queries-with-multiple-free-variables",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Neural Scalable Symbolic Search Framework for Complex Logical Queries with Multiple Free Variables
PDF: https://arxiv.org/pdf/2605.25985v1
Repository: https://github.com/HKUST-KnowComp/NS3_KDD2026
Source count: 4
Coverage: 67%
Last proof check: 2026-05-27T00:04:10.485Z
Signal Canvas receipt window
/buildability/neural-scalable-symbolic-search-framework-for-complex-logical-queries-with-multiple-free-variables
Subject: Neural Scalable Symbolic Search Framework for Complex Logical Queries with Multiple Free Variables
Verdict
Preparing verified analysis
Dimensions overall score 0.0
{"file name": "input.pdf", "number of pages": 12, "author": "Weizhi Fei; Hang Yin; Zihao Wang; Shukai Zhao; Wei Zhang; Yangqiu Song"
Implication not extracted yet.
partial
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
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/neural-scalable-symbolic-search-framework-for-complex-logical-queries-with-multiple-free-variables
Paper ref
neural-scalable-symbolic-search-framework-for-complex-logical-queries-with-multiple-free-variables
arXiv id
2605.25985
Generated at
2026-05-27T00:04:10.485Z
Evidence freshness
stale
Last verification
2026-05-27T00:04:10.485Z
Sources
4
References
0
Coverage
67%
Lineage hash
42275263f93cfc68d885580064b75d92666ad6d82734975447907fae52047e17
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 / 4 sources / Verification pending
references
proof_status