nerve-wml is a research code base providing a substrate-agnostic Nerve Protocol reference implementation for the dreamOfkiki research program. Correctness and reproducibility of the Gate W / Gate M measurements cited in Paper 1 are our top priorities ; security is handled on a best-effort basis.
This policy applies to :
- The code in this repository (
hypneum-lab/nerve-wml) - The
MlpWMLandLifWMLsubstrate implementations and their sharedNerveProtocol - The measurement scripts (
scripts/run_w2_hard,scripts/merge_pilot) whose outputs are cited in the parent paper - The documentation in
docs/
It does not apply to dependencies (NumPy, PyTorch, surrogate-gradient libraries).
If you discover a security issue that could compromise :
- the determinism of the FlowProxyTask / HardFlowProxyTask runs under fixed seeds
- the integrity of the polymorphism-gap measurements cited in dreamOfkiki Paper 1 v0.2 §7.4
- silent numerical errors in
LifWMLspike-path integration - silent numerical errors in
MlpWMLgradient flow
please report it privately via one of these channels :
- Email :
clement@saillant.cc— subject starting with[SECURITY] - GitHub Private Vulnerability Reporting : https://github.com/hypneum-lab/nerve-wml/security/advisories/new
Please include :
- a description of the issue
- reproduction steps (seed, commit SHA, substrate variant)
- the measured value of the affected metric if applicable
- suggested mitigation if available
We aim to acknowledge reports within 5 business days and publish a fix within 30 days for critical issues. Reporters will be credited unless they prefer otherwise.
- General questions about the polymorphism gap on harder tasks — open a regular GitHub issue.
- Dependency vulnerabilities — report upstream.
- Licensing or byline questions — see
LICENSEandCONTRIBUTORS.md.
Expected threats : inadvertent reproducibility regressions and silent numerical invalidation of the measurements cited in the parent paper. Write-access abuse is outside the model ; review happens via PR discipline.