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  3. CoDe-R: Refining Decompiler Output with LLMs via Rationale G
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CoDe-R: Refining Decompiler Output with LLMs via Rationale Guidance and Adaptive Inference

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Evidence Receipt

Freshness: 2026-04-15T16:44:08.417259+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: CoDe-R: Refining Decompiler Output with LLMs via Rationale Guidance and Adaptive Inference

PDF: https://arxiv.org/pdf/2604.12913v1

Repository: https://github.com/Theaoi/CoDe-R

Source count: 4

Coverage: 67%

Last proof check: 2026-04-15T16:58:17.412Z

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Paper Mode

CoDe-R: Refining Decompiler Output with LLMs via Rationale Guidance and Adaptive Inference

Overall score: 8/10
Lineage: b5c5cf486d5a…
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Canonical Paper Receipt

Last verification: 2026-04-15T16:58:17.412Z

Freshness: fresh

Proof: unverified

Repo: active

References: 0

Sources: 4

Coverage: 67%

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  • Paper mode pins trust state to the canonical paper kernel.
  • Workspace mode blends saved sources, prior evidence queries, and linked papers.

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Dimensions overall score 8.0

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