Rewrite System Showdown: Stochastic Search vs. EqSat
2026-05-20T08:51:59Z•ce5e5d4bb743635d370a4dba12116fc8812b2ff515f684b004a49fe04b9750b9
2-counter-machineCypherDRReduceMAPE-KMCQANeo4jTuring-completeactor-languagesadjoint-logiccode-guided-reasoningdependency-reconstructiondependent-linear-typese-graphsequality-saturationfault-tolerancegraph-programminggrassroots-cryptocurrencylinear-logicmailbox-typesprogram-optimizationprogram-reductionself-healingsmall-language-modelsstochastic-searchtype-systems
What happened
A collection of recent arXiv Computer Science / Programming Languages and related submissions covering diverse topics: an empirical comparison of equality-saturation (e-graphs) versus stochastic search for rewrite-based program optimization; a formal proof that Cypher 25 (Neo4j) is Turing-complete via 2-counter machine simulation; Code-Guided Reasoning (CGR) for improving small LMs on MCQA with executable Python scaffolds; new work on ordered adjoint logic and cut elimination; a MAPE-K based self-healing framework for web apps with strong detection and recovery metrics; DRReduce, a language-gn
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_pl
- Record identifier
- ce5e5d4bb743635d370a4dba12116fc8812b2ff515f684b004a49fe04b9750b9
- Enrichment time
- 2026-05-20T08:51:59Z
- AI-assisted enrichment
- Yes
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