Heimdall automates translation of eBPF C programs to Rust with formal equivalence proofs for 94.1% of 102 tested programs using LLMs, static analysis, and Z3-based checking.
Llm-driven multi-step translation from C to rust using static analysis
10 Pith papers cite this work. Polarity classification is still indexing.
10
Pith papers citing it
representative citing papers
&inator is the first system to produce correct and precise Rust interfaces from C declarations via a constraint-based model of semantic equivalence and borrow checking.
Reboot translates six C interpreters (6k-23k LOC) to safe Rust with 1-11 interventions each, passing all original tests and 62-92% on new validation tests while removing memory vulnerabilities.
ORBIT achieves 100% compilation success and 91.7% test success on 24 mostly large programs from CRUST-Bench by using dependency-aware orchestration and iterative verification, outperforming prior static and baseline tools.
ENCRUST decouples C-to-Rust translation via ABI wrappers and agentic refinement to reduce unsafe constructs across 15 real programs while preserving full test correctness.
PtrTrans builds a Pointer Knowledge Graph with points-to flows, struct abstractions, and Rust annotations to guide LLMs toward project-level C-to-Rust translations that cut unsafe code by 99.9% and raise functional correctness by 29.3%.
SafeTrans achieves up to 80% successful C-to-Rust translations via LLM iterative repair on 2653 programs and two real projects, with some C vulnerabilities carrying over to the Rust output.
DepTrans uses reinforcement-aligned multi-task training and dependency-guided iterative refinement to raise repository-level C-to-Rust compilation success to 60.7% and computational accuracy to 43.5%.
LAC2R uses MCTS to systematically explore multiple LLM refinement trajectories for C-to-Rust translation and reports superior safety and correctness on small-scale benchmarks.
citing papers explorer
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Heimdall: Formally Verified Automated Migration of Legacy eBPF Programs to Rust
Heimdall automates translation of eBPF C programs to Rust with formal equivalence proofs for 94.1% of 102 tested programs using LLMs, static analysis, and Z3-based checking.
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&inator: Correct, Precise C-to-Rust Interface Translation
&inator is the first system to produce correct and precise Rust interfaces from C declarations via a constraint-based model of semantic equivalence and borrow checking.
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Mostly Automatic Translation of Language Interpreters from C to Safe Rust
Reboot translates six C interpreters (6k-23k LOC) to safe Rust with 1-11 interventions each, passing all original tests and 62-92% on new validation tests while removing memory vulnerabilities.
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ORBIT: Guided Agentic Orchestration for Autonomous C-to-Rust Transpilation
ORBIT achieves 100% compilation success and 91.7% test success on 24 mostly large programs from CRUST-Bench by using dependency-aware orchestration and iterative verification, outperforming prior static and baseline tools.
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ENCRUST: Encapsulated Substitution and Agentic Refinement on a Live Scaffold for Safe C-to-Rust Translation
ENCRUST decouples C-to-Rust translation via ABI wrappers and agentic refinement to reduce unsafe constructs across 15 real programs while preserving full test correctness.
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Project-Level C-to-Rust Translation via Pointer Knowledge Graphs
PtrTrans builds a Pointer Knowledge Graph with points-to flows, struct abstractions, and Rust annotations to guide LLMs toward project-level C-to-Rust translations that cut unsafe code by 99.9% and raise functional correctness by 29.3%.
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SafeTrans: LLM-assisted Transpilation from C to Rust
SafeTrans achieves up to 80% successful C-to-Rust translations via LLM iterative repair on 2653 programs and two real projects, with some C vulnerabilities carrying over to the Rust output.
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Dependency-Guided Repository-Level C-to-Rust Translation with Reinforcement Alignment
DepTrans uses reinforcement-aligned multi-task training and dependency-guided iterative refinement to raise repository-level C-to-Rust compilation success to 60.7% and computational accuracy to 43.5%.
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Search-Based Multi-Trajectory Refinement for Safe C-to-Rust Translation with Large Language Models
LAC2R uses MCTS to systematically explore multiple LLM refinement trajectories for C-to-Rust translation and reports superior safety and correctness on small-scale benchmarks.
- ReCodeAgent: A Multi-agent Workflow for Language-Agnostic Translation and Validation of Large-Scale Repositories