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/curvature-aware-optimization-for-high-accuracy-physics-informed-neural-networks
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 curvature-aware-optimization-for-high-accuracy-physics-informed-neural-networks | Route /signal-canvas/curvature-aware-optimization-for-high-accuracy-physics-informed-neural-networks
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/curvature-aware-optimization-for-high-accuracy-physics-informed-neural-networksMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "curvature-aware-optimization-for-high-accuracy-physics-informed-neural-networks",
"query_text": "Summarize Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks",
"normalized_query": "2604.05230",
"route": "/signal-canvas/curvature-aware-optimization-for-high-accuracy-physics-informed-neural-networks",
"paper_ref": "curvature-aware-optimization-for-high-accuracy-physics-informed-neural-networks",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks
PDF: https://arxiv.org/pdf/2604.05230v1
Source count: Pending verification
Coverage: 0%
Last proof check: 2026-04-08T05:54:15.691Z
Signal Canvas receipt window
/buildability/curvature-aware-optimization-for-high-accuracy-physics-informed-neural-networks
Subject: Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Preparing verified analysis
Dimensions overall score 4.0
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/curvature-aware-optimization-for-high-accuracy-physics-informed-neural-networks
Paper ref
curvature-aware-optimization-for-high-accuracy-physics-informed-neural-networks
arXiv id
2604.05230
Generated at
2026-04-08T05:54:15.691Z
Evidence freshness
unknown
Last verification
2026-04-08T05:54:15.691Z
Sources
0
References
0
Coverage
0%
Lineage hash
f9086c1bdf6de71afa9cee475721bbbb80ada83cd42b90f495790093f5a7e985
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.
Verification pending / evidence receipt incomplete
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