Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
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Page Freshness
Canonical route: /signal-canvas/are-common-substructures-transferable-riemannian-graph-foundation-model-with-neural-vector-bundles
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID are-common-substructures-transferable-riemannian-graph-foundation-model-with-neural-vector-bundles | Route /signal-canvas/are-common-substructures-transferable-riemannian-graph-foundation-model-with-neural-vector-bundles
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/are-common-substructures-transferable-riemannian-graph-foundation-model-with-neural-vector-bundlesMCP example
{
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"paper_ref": "are-common-substructures-transferable-riemannian-graph-foundation-model-with-neural-vector-bundles",
"query_text": "Summarize Are Common Substructures Transferable? Riemannian Graph Foundation Model with Neural Vector Bundles"
}
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"query": "Are Common Substructures Transferable? Riemannian Graph Foundation Model with Neural Vector Bundles",
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}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Are Common Substructures Transferable? Riemannian Graph Foundation Model with Neural Vector Bundles
PDF: https://arxiv.org/pdf/2606.03270v1
Source count: 3
Coverage: 50%
Last proof check: 2026-06-03T20:49:29.554Z
Signal Canvas receipt window
/buildability/are-common-substructures-transferable-riemannian-graph-foundation-model-with-neural-vector-bundles
Subject: Are Common Substructures Transferable? Riemannian Graph Foundation Model with Neural Vector Bundles
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Preparing verified analysis
Dimensions overall score 2.0
No public code linked for this paper yet.
{"file name": "input.pdf", "number of pages": 27, "author": "Li Sun; Zhenhao Huang; Yiding Wang; Qin Chen; Pietro Lio; Philip S. Yu"
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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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/are-common-substructures-transferable-riemannian-graph-foundation-model-with-neural-vector-bundles
Paper ref
are-common-substructures-transferable-riemannian-graph-foundation-model-with-neural-vector-bundles
arXiv id
2606.03270
Generated at
2026-06-03T20:49:29.554Z
Evidence freshness
fresh
Last verification
2026-06-03T20:49:29.554Z
Sources
3
References
0
Coverage
50%
Lineage hash
f63345ab0b8481f26d844c0d8b316acd9d6cbb869fcb6d03ef1edc75cc992672
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