M$^\star$: Every Task Deserves Its Own Memory Harness
2026-04-15T08:52:07Z•fa327e929d491ac16617eab9353276b983e7d62fea5be15378bfd952f5b04938
constrained-random-generationdeterministic-memory-managementdifferential-privacydimensional-type-systemevolutionary-searchformal-verificationgeometric-algebragpu-parallelismheap-manipulationhyper-separation-logichyperpropertieslarge-language-modelslinear-algebraic-hypervisorlogical-relationsmemory-systemsnon-interferenceprivacy-filtersprobabilistic-separation-logicprogram-hypergraphprogram-synthesisproperty-based-testingsession-typessparse-vector-techniquetask-specific-memorytype-systems
What happened
Collection of recent PL/AI research from arXiv (Apr 2026) covering: M* — an evolved, task-specific Python ‘memory program’ framework for LLM agents that jointly optimizes schema, storage logic, and workflows; undecidability results for higher-order polyregular function equivalence; a probabilistic higher-order separation logic for modular verification of differential privacy (implemented in Coq/Coq-like/Rocq and demonstrating verification of DP primitives such as Sparse Vector and privacy filters); Hyper Separation Logic for reasoning about hyperproperties with arbitrary quantifier alternation
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_pl
- Record identifier
- fa327e929d491ac16617eab9353276b983e7d62fea5be15378bfd952f5b04938
- Enrichment time
- 2026-04-15T08:52:07Z
- AI-assisted enrichment
- Yes
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