Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision

Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/fine-grained-approaches-for-confidence-calibration-of-llms-in-automated-code-revision

stale

Proof freshness: stale
Proof status: unverified
Display score: 4/10
Last proof check: 2026-04-10
Score updated: 2026-04-09
Score fresh until: 2026-05-09
References: 86
Source count: 3
Coverage: 83%

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 fine-grained-approaches-for-confidence-calibration-of-llms-in-automated-code-revision | Route /signal-canvas/fine-grained-approaches-for-confidence-calibration-of-llms-in-automated-code-revision

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/fine-grained-approaches-for-confidence-calibration-of-llms-in-automated-code-revision

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "fine-grained-approaches-for-confidence-calibration-of-llms-in-automated-code-revision",
    "query_text": "Summarize Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision",
  "normalized_query": "2604.06723",
  "route": "/signal-canvas/fine-grained-approaches-for-confidence-calibration-of-llms-in-automated-code-revision",
  "paper_ref": "fine-grained-approaches-for-confidence-calibration-of-llms-in-automated-code-revision",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 0

References: 86

Proof: Verification pending

Freshness state: computing

Source paper: Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision

PDF: https://arxiv.org/pdf/2604.06723v1

Repository: https://github.com/hongyi-tom/FinegrainedCalibrationACR

Source count: 3

Coverage: 83%

Last proof check: 2026-04-10T00:16:04.502Z

Signal Canvas receipt window

Not build-ready: Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision

/buildability/fine-grained-approaches-for-confidence-calibration-of-llms-in-automated-code-revision

Ignoreblocked

Subject: Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision

Verdict

Ignore

Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision

Use Signal Canvas as the narrative proof surface

Use this Signal Canvas via API or MCP

Signal Canvas proof surface