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README.md
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---
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license: cc-by-4.0
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---
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---
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license: cc-by-4.0
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pretty_name: Trismegistus Receipt-Bound AI Expert Partner Evaluation
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tags:
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- artificial-intelligence
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- ai-agents
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- evaluation
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- benchmarks
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- continuity
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- model-agnostic
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- research-paper
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- zenodo-doi
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---
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# Trismegistus: Receipt-Bound AI Expert Partner Evaluation
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Author: Dean Patterson, Renaissance Field Lite
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Zenodo DOI: [10.5281/zenodo.21417649](https://doi.org/10.5281/zenodo.21417649)
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Zenodo record: [https://zenodo.org/records/21417649](https://zenodo.org/records/21417649)
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## Summary
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Trismegistus is a receipt-bound AI Expert Partner architecture developed by
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Renaissance Field Lite to preserve continuity across research, coding, browser
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action, source review, outreach, and paid-work operations.
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The central contribution is a model-agnostic continuity and evaluation method:
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run a baseline route, run an architecture-on route, evaluate the same task under
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the same source and evidence gate, and preserve SQL, JSON, Markdown, media,
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benchmark, source, or browser receipts for review.
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This Hub package mirrors the DOI-backed public-safe paper bundle for AI-native
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discovery. The official archival publication is the Zenodo record above.
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## Paper Files
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- [`files/TRISMEGISTUS_RECEIPT_BOUND_AI_EXPERT_PARTNER_EVALUATION_ARXIV_CANDIDATE_2026-07-16.pdf`](files/TRISMEGISTUS_RECEIPT_BOUND_AI_EXPERT_PARTNER_EVALUATION_ARXIV_CANDIDATE_2026-07-16.pdf)
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- [`files/TRISMEGISTUS_WHITE_PAPER_PUBLIC_SAFE_2026-07-15.md`](files/TRISMEGISTUS_WHITE_PAPER_PUBLIC_SAFE_2026-07-15.md)
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## Figures
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- [`figures/figure_01_three_surface_architecture.png`](figures/figure_01_three_surface_architecture.png)
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- [`figures/figure_02_receipt_bound_operator_loop.png`](figures/figure_02_receipt_bound_operator_loop.png)
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- [`figures/figure_03_baseline_vs_architecture_on.png`](figures/figure_03_baseline_vs_architecture_on.png)
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- [`figures/figure_04_six_lane_field_curriculum.png`](figures/figure_04_six_lane_field_curriculum.png)
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## Public-Safe Boundary
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This package publishes public-safe paper materials only. It does not include
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private raw logs, credentials, browser profiles, local databases, biometric
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captures, unpublished security artifacts, or private operator-state material.
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The paper does not claim a completed AGI system, official public benchmark
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leaderboard result, clinical system, or peer-reviewed status. It claims a
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receipt-bound engineering method and identifies the current evidence, boundary,
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and next gate.
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## Citation
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```bibtex
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@misc{patterson2026trismegistus,
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author = {Patterson, Dean},
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title = {Receipt-Bound AI Expert Partner Evaluation: A Model-Agnostic Continuity Architecture for Baseline Versus Architecture-On Workflows},
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year = {2026},
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publisher = {Zenodo},
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doi = {10.5281/zenodo.21417649},
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url = {https://doi.org/10.5281/zenodo.21417649}
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}
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```
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