Beyond Output Correctness: Benchmarking and Evaluating Large Language Model Reasoning in Coding Tasks explores A benchmark and evaluator for LLM reasoning in coding tasks that improves accuracy and identifies limitations in existing methods.. Commercial viability score: 8/10 in LLM Evaluation.
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This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Page Freshness
Canonical route: /paper/beyond-output-correctness-benchmarking-and-evaluating-large-language-model-reasoning-in-coding-tasks
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID beyond-output-correctness-benchmarking-and-evaluating-large-language-model-reasoning-in-coding-tasks | Route /paper/beyond-output-correctness-benchmarking-and-evaluating-large-language-model-reasoning-in-coding-tasks
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/beyond-output-correctness-benchmarking-and-evaluating-large-language-model-reasoning-in-coding-tasksMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.12379"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "Beyond Output Correctness: Benchmarking and Evaluating Large Language Model Reasoning in Coding Tasks",
"normalized_query": "2604.12379",
"route": "/paper/beyond-output-correctness-benchmarking-and-evaluating-large-language-model-reasoning-in-coding-tasks",
"paper_ref": "beyond-output-correctness-benchmarking-and-evaluating-large-language-model-reasoning-in-coding-tasks",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
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Dimensions overall score 8.0
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