Systematic LLM Translation of Legacy Scientific Code to Differentiable Frameworks: Application to a Land Surface Model
arXiv 2606.07681•c348c4c6c9233a19e975da8b3b8d69e5e2db49e4117e5d666a4bba4e80626dec
AI-paired-engineeringCLM-mlFortranJAXLLMLLM-agentsLLM-judgesSWE-MarathonWindows-IOCTLauditabilitycherry-pick-overridecode-first-peer-reviewcommitment-controlcorpus-datasetdifferentiable-programmingdille-tooldriver-attack-surfaceexecutable-artifactskernel-securitylong-horizon-benchmarksrandom-forestreward-hackingself-verificationsilent-semantic-faultsstatic-analysis
Paper metadata
- arXiv ID
- 2606.07681
- Version
- Not specified by this published record
- Category
- Computer Science — Software Engineering (cs.SE)
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Evidence and limitations
- Source ID
- arxiv_cs_se
- Record identifier
- c348c4c6c9233a19e975da8b3b8d69e5e2db49e4117e5d666a4bba4e80626dec
- Enrichment time
- 2026-06-09T08:51:54Z
- AI-assisted enrichment
- Yes
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