Literate Execution
2026-05-01T08:52:03Z•95374893ab8cbe718aaa03c112c009a237ef1087dc0210b078d0eb19e4ebfbcb
LLMsPyTorchconstrained-decodingdataflowdynamic-testingfloating-point-analysisformal-methodsfuzzinggraph-compilerperformance-optimizationprogram-analysisprogram-slicingprovenancesecurity-testingstatic-analysisverifiable-reasoning
What happened
Collection of recent CS/PL papers covering programming languages, program analysis, AI-augmented testing, and formal methods. Key contributions include: 'Literate Execution' (integrating provenance, visualisation, and documentation into executable traces); Sliceformer (dataflow-aware pretraining and constrained decoding for more accurate static program slicing); a systematic survey of adaptive and AI-augmented security testing that identifies a structural–adaptive fragmentation and outlines a unified research agenda; GraphMend (source-level transformations to eliminate FX graph breaks in PyTor
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_pl
- Record identifier
- 95374893ab8cbe718aaa03c112c009a237ef1087dc0210b078d0eb19e4ebfbcb
- Enrichment time
- 2026-05-01T08:52:03Z
- AI-assisted enrichment
- Yes
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