RePrompT: Recurrent Prompt Tuning for Integrating Structured EHR Encoders with Large Language Models
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Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/reprompt-recurrent-prompt-tuning-for-integrating-structured-ehr-encoders-with-large-language-models
- Observed
- 2026-04-21
- Fresh until
- 2026-05-05
- Coverage
- 50%
- Source count
- 3
- Stale after
- 2026-05-05
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- Last verified
- 2026-04-21
- References
- 0
- Sources
- 3
- Coverage
- 50%
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Agent Handoff
RePrompT: Recurrent Prompt Tuning for Integrating Structured EHR Encoders with Large Language Models
Canonical ID reprompt-recurrent-prompt-tuning-for-integrating-structured-ehr-encoders-with-large-language-models | Route /signal-canvas/reprompt-recurrent-prompt-tuning-for-integrating-structured-ehr-encoders-with-large-language-models
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/reprompt-recurrent-prompt-tuning-for-integrating-structured-ehr-encoders-with-large-language-modelsMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "reprompt-recurrent-prompt-tuning-for-integrating-structured-ehr-encoders-with-large-language-models",
"query_text": "Summarize RePrompT: Recurrent Prompt Tuning for Integrating Structured EHR Encoders with Large Language Models"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "RePrompT: Recurrent Prompt Tuning for Integrating Structured EHR Encoders with Large Language Models",
"normalized_query": "2604.17725",
"route": "/signal-canvas/reprompt-recurrent-prompt-tuning-for-integrating-structured-ehr-encoders-with-large-language-models",
"paper_ref": "reprompt-recurrent-prompt-tuning-for-integrating-structured-ehr-encoders-with-large-language-models",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Evidence Receipt
Route status: buildingClaims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: RePrompT: Recurrent Prompt Tuning for Integrating Structured EHR Encoders with Large Language Models
PDF: https://arxiv.org/pdf/2604.17725v1
Source count: 3
Coverage: 50%
Last proof check: 2026-04-21T02:39:24.229Z
Paper Conversation
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RePrompT: Recurrent Prompt Tuning for Integrating Structured EHR Encoders with Large Language Models
Canonical Paper Receipt
Last verification: 2026-04-21T02:39:24.229ZFreshness: fresh
Proof: unverified
Repo: missing
References: 0
Sources: 3
Coverage: 50%
- - repo_url
- - references
- - proof_status
- - proof verification has not been recorded yet
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Dimensions overall score 7.0
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