Beyond Output Correctness: Benchmarking and Evaluating Large Language Model Reasoning in Coding Tasks

Beyond Output Correctness: Benchmarking and Evaluating Large Language Model Reasoning in Coding Tasks | Signal Canvas | ScienceToStartup

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Canonical route: /signal-canvas/beyond-output-correctness-benchmarking-and-evaluating-large-language-model-reasoning-in-coding-tasks

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Proof freshness: stale
Proof status: unverified
Display score: 8/10
Last proof check: 2026-04-15
Score updated: 2026-04-15
Score fresh until: 2026-05-15
References: 0
Source count: 4
Coverage: 67%

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Agent Handoff

Canonical ID beyond-output-correctness-benchmarking-and-evaluating-large-language-model-reasoning-in-coding-tasks | Route /signal-canvas/beyond-output-correctness-benchmarking-and-evaluating-large-language-model-reasoning-in-coding-tasks

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curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/beyond-output-correctness-benchmarking-and-evaluating-large-language-model-reasoning-in-coding-tasks

MCP example

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source_context

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Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: Beyond Output Correctness: Benchmarking and Evaluating Large Language Model Reasoning in Coding Tasks

PDF: https://arxiv.org/pdf/2604.12379v1

Repository: https://github.com/MrLYG/CodeRQ-Bench

Source count: 4

Coverage: 67%

Last proof check: 2026-04-15T16:58:28.362Z

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Beyond Output Correctness: Benchmarking and Evaluating Large Language Model Reasoning in Coding Tasks

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