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/end-to-end-evaluation-and-governance-of-an-ehr-embedded-ai-agent-for-clinicians
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 end-to-end-evaluation-and-governance-of-an-ehr-embedded-ai-agent-for-clinicians | Route /signal-canvas/end-to-end-evaluation-and-governance-of-an-ehr-embedded-ai-agent-for-clinicians
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/end-to-end-evaluation-and-governance-of-an-ehr-embedded-ai-agent-for-cliniciansMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "end-to-end-evaluation-and-governance-of-an-ehr-embedded-ai-agent-for-clinicians",
"query_text": "Summarize End-to-End Evaluation and Governance of an EHR-Embedded AI Agent for Clinicians"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "End-to-End Evaluation and Governance of an EHR-Embedded AI Agent for Clinicians",
"normalized_query": "2604.27309",
"route": "/signal-canvas/end-to-end-evaluation-and-governance-of-an-ehr-embedded-ai-agent-for-clinicians",
"paper_ref": "end-to-end-evaluation-and-governance-of-an-ehr-embedded-ai-agent-for-clinicians",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: End-to-End Evaluation and Governance of an EHR-Embedded AI Agent for Clinicians
PDF: https://arxiv.org/pdf/2604.27309v1
Source count: 3
Coverage: 50%
Last proof check: 2026-05-01T15:05:02.808Z
Signal Canvas receipt window
/buildability/end-to-end-evaluation-and-governance-of-an-ehr-embedded-ai-agent-for-clinicians
Subject: End-to-End Evaluation and Governance of an EHR-Embedded AI Agent for Clinicians
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.
{"file name": "input.pdf", "number of pages": 19, "author": "Aaryan Shah; Andrew Hines; Alexia Downs; Denis Bajet; Paulius Mui; Fabiano Araujo; Laura Offutt; Aida Rutledge; Elizabeth Jimenez"
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/end-to-end-evaluation-and-governance-of-an-ehr-embedded-ai-agent-for-clinicians
Paper ref
end-to-end-evaluation-and-governance-of-an-ehr-embedded-ai-agent-for-clinicians
arXiv id
2604.27309
Generated at
2026-05-01T15:05:02.808Z
Evidence freshness
stale
Last verification
2026-05-01T15:05:02.808Z
Sources
3
References
0
Coverage
50%
Lineage hash
8d3a455890f61c7e0ce09acbca2cd934cf0aa6805c63ba247bde94b4271d9cb4
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