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Ouroboros Research Manuscript Archive

public-ci License: CC BY 4.0

The Ouroboros Project is a research program on AI systems that must reason about their own causal footprint, learn from action and failure, and carry auditable evidence into consequential decisions.

This repository is a source-manuscript archive. It is not the complete SOVEREIGN product, a model release, a production deployment, or a record of private training and customer systems.

Manuscripts

File Research object
paper1_reflexive_intelligence.tex Reflexive intelligence in observer-participant environments
paper2_reflexbench.tex Observer-depth evaluation and ReflexBench
paper2_reflexbench_chinaxiv.tex ReflexBench source variant
paper3_multi_reward_grpo.tex Multi-reward learning dynamics
paper4_ouroboros_v22.tex Ouroboros architecture manuscript
paper5_cognitive_lifecycle.tex Cognitive lifecycle and failure memory
paper6_cognitive_reward_topology.tex Cognitive reward topology

The two ReflexBench figure dependencies are included under figures/. The public CI compiles every listed manuscript and verifies CHECKSUMS.sha256. A passing build establishes source completeness for that commit; it does not validate the papers' scientific claims.

Submission and publication states can change independently of source files. Use the canonical public paper index and DOI records rather than badges or filenames:

Public and Private Boundary

Public manuscript source may describe concepts, definitions, formulas, experiments, and stated limitations. This repository does not release production orchestration, exact operational weights or thresholds, private prompts or datasets, tuning history, customer material, deployment automation, or unpublished research not present in the committed manuscripts.

The public release boundary is maintained at: https://github.com/mmjbds/mianzhang.org/blob/main/OPEN_SOURCE_BOUNDARY.md

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License

Author-created manuscript source is licensed under CC BY 4.0. Third-party style files, names, marks, figures, and other material retain their own terms. See CONTENT_AND_MEDIA_LICENSE.md.

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Public manuscript archive for reflexive intelligence, multi-reward learning, and bounded research claims.

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