Neuro-Symbolic Machine-Code Synthesis: Untrusted Palettes, Checked Answers

The system combines three mechanisms. First, four checker-aware reductions eliminate deadinstructions, independent reorderings, solver-proved duplicate forms, and prefixes that losesemantically required inputs; under stated premises, they preserve the optimum within a boundedpalette. Second, realize applies cost-bounded counterexample-guided solving to determine when nocheaper admitted program exists in that palette, producing records that can be replayed with thesame encoding and solver. Third, an LLM revises instruction palettes using checked kernels andper-length unrealizability or inconclusive answers.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-02
DOI
https://doi.org/10.5281/zenodo.23878798
Primary Topic
Logic, programming, and type systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Neuro-Symbolic Machine-Code Synthesis: Untrusted Palettes, Checked Answers

Dana Edwards
Zenodo (CERN European Organization for Nuclear Research)
Logic, programming, and type systems
article

Neuro-Symbolic Machine-Code Synthesis: Untrusted Palettes, Checked Answers

Dana Edwards
article en

Abstract

The system combines three mechanisms. First, four checker-aware reductions eliminate deadinstructions, independent reorderings, solver-proved duplicate forms, and prefixes that losesemantically required inputs; under stated premises, they preserve the optimum within a boundedpalette. Second, realize applies cost-bounded counterexample-guided solving to determine when nocheaper admitted program exists in that palette, producing records that can be replayed with thesame encoding and solver. Third, an LLM revises instruction palettes using checked kernels andper-length unrealizability or inconclusive answers.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 17%
Logic, programming, and type systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Neuro-Symbolic Machine-Code Synthesis: Untrusted Palettes, Checked Answers — Dana Edwards · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS