Evidence · DiggingBeagle record
EchoFuzz public implementation
Public EchoFuzz implementation. Repository exposes LLM, dataset, fuzzer, prompts and utility components plus chain_guided.py and iteration_process.py, and links to the ICSE 2026 publication.
- Source role
- source code
Evidence record
Public EchoFuzz implementation. Repository exposes LLM, dataset, fuzzer, prompts and utility components plus chain_guided.py and iteration_process.py, and links to the ICSE 2026 publication.
Claim-level citations (1)
- supportsEchoFuzz used LLM-guided fuzzing to reach deeper smart-contract states: The EchoFuzz implementation is publicly available with LLM, dataset, fuzzer, prompt and orchestration components, and the repository links the ICSE 2026 paper.
Repository root and README, including LLM, dataset, fuzzer, prompts, chain_guided.py and iteration_process.py