Incremental Computation for Efficient Programmable Inference in Probabilistic Programs
2026-06-05T08:52:06Z•ae20620918efca2a79be36e52570ee23a03efdb0d6e52de7b9ec251329cc16e6
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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