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/crash-assessment-via-mesh-based-graph-neural-networks-and-physics-aware-attention
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 crash-assessment-via-mesh-based-graph-neural-networks-and-physics-aware-attention | Route /signal-canvas/crash-assessment-via-mesh-based-graph-neural-networks-and-physics-aware-attention
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/crash-assessment-via-mesh-based-graph-neural-networks-and-physics-aware-attentionMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "crash-assessment-via-mesh-based-graph-neural-networks-and-physics-aware-attention",
"query_text": "Summarize Crash Assessment via Mesh-Based Graph Neural Networks and Physics-Aware Attention"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Crash Assessment via Mesh-Based Graph Neural Networks and Physics-Aware Attention",
"normalized_query": "2605.11784",
"route": "/signal-canvas/crash-assessment-via-mesh-based-graph-neural-networks-and-physics-aware-attention",
"paper_ref": "crash-assessment-via-mesh-based-graph-neural-networks-and-physics-aware-attention",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Crash Assessment via Mesh-Based Graph Neural Networks and Physics-Aware Attention
PDF: https://arxiv.org/pdf/2605.11784v1
Source count: 3
Coverage: 50%
Last proof check: 2026-05-13T20:54:49.300Z
Signal Canvas receipt window
/buildability/crash-assessment-via-mesh-based-graph-neural-networks-and-physics-aware-attention
Subject: Crash Assessment via Mesh-Based Graph Neural Networks and Physics-Aware Attention
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/crash-assessment-via-mesh-based-graph-neural-networks-and-physics-aware-attention
Paper ref
crash-assessment-via-mesh-based-graph-neural-networks-and-physics-aware-attention
arXiv id
2605.11784
Generated at
2026-05-13T20:54:49.300Z
Evidence freshness
stale
Last verification
2026-05-13T20:54:49.300Z
Sources
3
References
0
Coverage
50%
Lineage hash
7b90e6963fefcdaba8ee1b873d19f2261ee980e9b0cc96917e6e842806f6fde4
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