org card: brutal reference-style substrate description (taxonomy/corpus/earned-autonomy/advisories/Index)

README.md

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 title: README
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+emoji: 🐇
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 # NullRabbit Labs
 
-**Autonomous defence for decentralised networks.**
+Substrate for adversarial evaluation of decentralized infrastructure.
 
-NullRabbit Labs is the research arm of NullRabbit, a defensive security company building autonomous protection for blockchain validator infrastructure. We watch the outside of the perimeter: the network-layer attack surface that validator daemons expose to the open internet.
+**Taxonomy** — chain-agnostic vulnerability classes, mechanism-defined and contract-locked; each realized as chain-specific primitives.
 
-This organisation publishes the datasets, models, and interactive artefacts that come out of our research. Everything here is versioned, pre-registered, and audited on close.
+**Corpus** — wire-level, ground-truth-labelled captures of attack and benign traffic against real node software (public sample: [`nr-bundles-public`](https://huggingface.co/datasets/NullRabbit/nr-bundles-public)).
 
-## What we work on
+**Earned-autonomy framework** — [Zenodo 10.5281/zenodo.18406828](https://doi.org/10.5281/zenodo.18406828).
 
-- **Network-layer anomaly detection** against validator RPC, gossip, and consensus surfaces
-- **Bundle format** - an open, chain-agnostic representation of network traffic for security ML ([nr-bundle-spec](https://github.com/NullRabbitLabs/nr-bundle-spec))
-- **Earned autonomy framework** - governance layer for autonomous defensive systems ([Zenodo DOI 10.5281/zenodo.18406828](https://doi.org/10.5281/zenodo.18406828))
-- **Iterative leak-surface peeling** - pre-registered ML methodology for adversarially robust security models
+**Advisories** — each disclosed finding reproduced at wire level against the vulnerable node.
 
-## Coordinated disclosures
+**Index** — the reference for verifiable execution in decentralized infrastructure.
 
-NullRabbit's research feeds a coordinated-disclosure track. Published advisories sit on [nullrabbit.ai](https://nullrabbit.ai).
-
-- **NR-2026-001** - Agave RPC architectural findings (Solana), 2026-05-12
-- **NR-2026-002** - Sui Indexer-Alt findings, embargoed to 2026-06-20
-
-## Methodology
-
-Every model on this page is trained against a versioned, immutable corpus and a pre-registered design document. Audits run on close against sanity floors, per-feature audit trails, and falsification holdouts. Where an audit fires, training halts, the design is re-registered, and the prior version is retracted in writing.
-
-Corpus versions are increment-only. Published checkpoints reference the exact corpus version and pre-registration document used.
-
-## Links
-
-- Website - [nullrabbit.ai](https://nullrabbit.ai)
-- GitHub - [NullRabbitLabs](https://github.com/NullRabbitLabs)
-- X - [@NullRabbitLabs](https://x.com/NullRabbitLabs)
-- Earned autonomy paper - [Zenodo](https://doi.org/10.5281/zenodo.18406828)
-
-## Contact
+---
 
-Research enquiries: simon@nullrabbit.ai
+- [nullrabbit.ai](https://nullrabbit.ai)
+- [github.com/NullRabbitLabs](https://github.com/NullRabbitLabs)
+- [nr-bundle-spec](https://github.com/NullRabbitLabs/nr-bundle-spec)
+- [Zenodo 10.5281/zenodo.18406828](https://doi.org/10.5281/zenodo.18406828)