User : Ario_Framework
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- Ario: An AI-Readable Repository Snapshot for Auditable AI Memory, Identity, Evidence, and Bounded Agency
Authors/Creators
Ghanbari, Sepehr
https://doi.org/10.5281/zenodo.23441596
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Description
Ario — AI-Readable Research & Reproducibility Companion (2026-10-17) is a prepared, independently inspectable orientation package for AI agents, human researchers and adversarial reviewers. It accompanies the open-source Ario research framework, which investigates how claims, memory, submitted evidence, lineage and later revisions can remain auditable without converting repeated or self-authored assertions into independent proof.
Contents: English technical and philosophical overview, bilingual Persian orientation, model-neutral LLM reviewer prompt, claims-to-evidence matrix, reproducibility links and protocol, source/DOI crosswalk, a complete public historical Being With the Other edition 0.3 (Persian and English PDF/Markdown), a labeled unreviewed October 2026 manuscript, machine-readable JSON/BibTeX indexes, and release/social copy. The latest book edition 0.4 is linked but not included as local bytes.
Code anchor: https://github.com/SepehrGhanbari/Ario, inspected main commit 5e70fae681a7d03574a12f2b42230e1ba0860be6. The full source code and history are not copied into this companion package; the repository remains the canonical source. W5 is a draft/unmerged synthetic PR, W6 is lab-only with unresolved cross-host differences, and W7 scenarios are NOT_EXECUTED.
Epistemic limits: structural PASS is not proposition truth; a matching SHA-256 is not authenticated origin; a signature is not independent custody; an AI self-report is not proof of subjective consciousness. No live trust authority, evidence admission, or deployed Hugging Face Space is claimed.
Related records: earlier author-supplied AI-readable snapshot 10.5281/zenodo.23305805; preliminary report 10.5281/zenodo.23259916; separate book edition 0.4 10.5281/zenodo.23376577; related code-side record 10.5281/zenodo.23376521. These references do not imply independent confirmation of deposited file inventories.
Attribution and rights: Sepehr Ghanbari (ORCID 0009-0006-4710-3914). The software repository is MIT-licensed; original public book text is CC BY 4.0; any separately included third-party materials retain their own rights. This is a mixed-rights companion and must not be tagged wholesale with one software/text license without publisher review
https://ario-research-independent.vercel.app/ https://github.com/SepehrGhanbari/Ario