Parametrizing Reads-From Equivalence for Predictive Monitoring
2026-04-09T08:52:04Z•8fa1bbedac49076d81b16091d68ddf399182346a635147eb5701391f0ce436af
CCSCode Llama fine-tuning','ML for code'Fourier regularizationLoRAMPSTRaftclockscode generationconcurrencycross-lingual transferdata racesdeadlock-freedomdeterminacydistributed systemsfailure semanticsformal verificationk-sliced reorderingsmixed-choicepredictive monitoringpriority actionsprocess algebrareads-from equivalencesession typesstreaming algorithmstypestates
What happened
This document is an arXiv feed (multiple new papers) focused on programming languages, distributed systems, concurrency, verification, and machine learning for code. Key contributions include: (1) parametrized predictive monitoring via k-sliced reorderings that interpolate between Mazurkiewicz traces and reads‑from equivalence and yield constant‑space streaming algorithms for regular specs; (2) extensions to typestates and session types to model mixed‑choice, quantitative constraints, dynamic participation and explicit failure semantics for distributed/web applications; (3) Effpi language/work
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_pl
- Record identifier
- 8fa1bbedac49076d81b16091d68ddf399182346a635147eb5701391f0ce436af
- Enrichment time
- 2026-04-09T08:52:04Z
- AI-assisted enrichment
- Yes
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