All datasets / gjata-legacy
gjata-legacy/ess-mai-poc-002-ai-authority-entity
The declared licence (apache-2.0) is classified as permissive.
- Declared licence
- apache-2.0, from the tagEvidence: README.md at 80cd6cd
- Licence files
LICENSE, detected asapache-2.0Evidence: LICENSE at 80cd6cd- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Citation text from the card
The [review protocol](REVIEW_PROTOCOL.txt) gives precise questions, commands and a reporting template. Counterexamples, failed reproductions and justified corrections are welcome. Neither praise nor a review is required to use the licensed code. Contributions should receive accurate attribution for what they establish; a passing test is not an independent peer review. **Bledar Gjata** is the author of the proposed paradigm and architecture and directed this work. Implementation, analysis and documentation involved AI assistance, with human architectural direction and review, including shell inspection and recorded reproduction. Those activities are disclosed as the working method, not independent validation. Rust, C, hashes, HMAC, state machines, transactional storage and numerical reference models are established techniques; this package does not claim their invention. The authored ESS-MAI/AIGovern-Cyber source and capsule are released under [Apache-2.0](LICENSE). The vendored `sofars` code retains its [MIT license](native/vendor/sofars-0.6.1/LICENSE); other dependencies retain their respective licenses. See [NOTICE](NOTICE). - [POC002 GitHub repository](https://github.com/gjatalegacy-create/ESS-MAI-POC002-AI-Authority-Entity) - [POC002 Hugging Face dataset](https://huggingface.co/datasets/gjata-legacy/ess-mai-poc-002-ai-authority-entity) - [Versioned software DOI](https://doi.org/10.5281/zenodo.23813496) - [Companion preprint DOI](https://doi.org/10.5281/zenodo.23813625)
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dataset_licence({ "id": "gjata-legacy/ess-mai-poc-002-ai-authority-entity" })
signal: "permissive"
stated_licence: "apache-2.0"
sources: 0