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/process-aware-ai-for-rainfall-runoff-modeling-a-mass-conserving-neural-framework-with-hydrological-process-constraints
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 process-aware-ai-for-rainfall-runoff-modeling-a-mass-conserving-neural-framework-with-hydrological-process-constraints | Route /signal-canvas/process-aware-ai-for-rainfall-runoff-modeling-a-mass-conserving-neural-framework-with-hydrological-process-constraints
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/process-aware-ai-for-rainfall-runoff-modeling-a-mass-conserving-neural-framework-with-hydrological-process-constraintsMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "process-aware-ai-for-rainfall-runoff-modeling-a-mass-conserving-neural-framework-with-hydrological-process-constraints",
"query_text": "Summarize Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrological Process Constraints"
}
}source_context
{
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"mode": "paper",
"query": "Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrological Process Constraints",
"normalized_query": "2603.25093",
"route": "/signal-canvas/process-aware-ai-for-rainfall-runoff-modeling-a-mass-conserving-neural-framework-with-hydrological-process-constraints",
"paper_ref": "process-aware-ai-for-rainfall-runoff-modeling-a-mass-conserving-neural-framework-with-hydrological-process-constraints",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrological Process Constraints
PDF: https://arxiv.org/pdf/2603.25093v1
Source count: Pending verification
Coverage: 17%
Last proof check: 2026-04-02T02:30:40.136Z
Signal Canvas receipt window
/buildability/process-aware-ai-for-rainfall-runoff-modeling-a-mass-conserving-neural-framework-with-hydrological-process-constraints
Subject: Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrological Process Constraints
Verdict
Watch
Preparing verified analysis
Dimensions overall score 5.0
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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Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
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/process-aware-ai-for-rainfall-runoff-modeling-a-mass-conserving-neural-framework-with-hydrological-process-constraints
Paper ref
process-aware-ai-for-rainfall-runoff-modeling-a-mass-conserving-neural-framework-with-hydrological-process-constraints
arXiv id
2603.25093
Generated at
2026-04-02T02:30:40.136Z
Evidence freshness
stale
Last verification
2026-04-02T02:30:40.136Z
Sources
0
References
0
Coverage
17%
Lineage hash
5073e2f00882504bb54fa267100bdd81abd7fa204a3679aaae3b04f4f7076e93
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
repo_url
references