Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
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Page Freshness
Canonical route: /signal-canvas/can-large-language-models-self-correct-in-medical-question-answering-an-exploratory-study
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 can-large-language-models-self-correct-in-medical-question-answering-an-exploratory-study | Route /signal-canvas/can-large-language-models-self-correct-in-medical-question-answering-an-exploratory-study
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/can-large-language-models-self-correct-in-medical-question-answering-an-exploratory-studyMCP example
{
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"query": "Can Large Language Models Self-Correct in Medical Question Answering? An Exploratory Study",
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}Claims: 0
References: 31
Proof: Verification pending
Freshness state: computing
Source paper: Can Large Language Models Self-Correct in Medical Question Answering? An Exploratory Study
PDF: https://arxiv.org/pdf/2604.00261v1
Source count: 3
Coverage: 33%
Last proof check: 2026-04-02T20:56:02.684Z
Signal Canvas receipt window
/buildability/can-large-language-models-self-correct-in-medical-question-answering-an-exploratory-study
Subject: Can Large Language Models Self-Correct in Medical Question Answering? An Exploratory Study
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Preparing verified analysis
Dimensions overall score 3.0
No public code linked for this paper yet.
CLAIM MAP
No public claim map is available for this paper yet.
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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/can-large-language-models-self-correct-in-medical-question-answering-an-exploratory-study
Paper ref
can-large-language-models-self-correct-in-medical-question-answering-an-exploratory-study
arXiv id
2604.00261
Generated at
2026-04-02T20:56:02.684Z
Evidence freshness
stale
Last verification
2026-04-02T20:56:02.684Z
Sources
3
References
31
Coverage
33%
Lineage hash
c5d64c24a933a8b497768dbdc68bc1d9b47fee989e788b1682739625608ea387
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.
31 refs / 3 sources / Verification pending
repo_url
proof_status