Incremental Computation for Efficient Programmable Inference in Probabilistic Programs

2026-06-05T08:52:06Zae20620918efca2a79be36e52570ee23a03efdb0d6e52de7b9ec251329cc16e6
F*LLM-steeringNaN-boxingRTL-generationRrHPattention-headscode-translationextractionhardware-correctnessincremental-computationlow-bit-taggingprobabilistic-programmingsecure-compilationside-channelstranslation-validationtype-taggingverified-proofvirtual-processor

What happened

This collection contains multiple PL/CS research papers with several security-relevant contributions. Notably, “Misquoted No More: Securely Extracting F* Programs with IO” (SEIO*) provides a machine-checked framework and proofs that extraction from verified F* programs preserves strong secure-compilation properties (Robust Relational Hyperproperty Preservation), improving trust in linking verified code with untrusted components. “CASS-RTL” shows an LLM-inference-time, attention-head based steering technique that measurably improves RTL generation correctness — relevant to hardware correctness,

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_pl
Record identifier
ae20620918efca2a79be36e52570ee23a03efdb0d6e52de7b9ec251329cc16e6
Enrichment time
2026-06-05T08:52:06Z
AI-assisted enrichment
Yes

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