README.md

---
license: cc-by-4.0
language:
  - en
  - ja
tags:
  - authorship-strategy
  - ai-era-authenticity
  - attribution-diffusion
  - doi-federation
  - concept-doi
  - zenodo
  - hugging-face-datasets
  - orcid
  - llms-txt
  - generative-engine-optimization
  - idea-rescue
  - scaffold-dissolution
  - knowledge-graph
  - linked-data
  - json-ld
  - normative-framework
pretty_name: Authorship Strategy Knowledge Graph
size_categories:
  - n<1K
configs:
  - config_name: default
    data_files:
      - split: train
        path: graph.jsonl
---

# Authorship Strategy — Knowledge Graph

JSON-LD knowledge graph encoding the concept layer of the **Authorship Strategy** research line — a normative framework, tactical catalog, and empirical baseline for authorship strategy under AI-mediated diffusion.

## What this dataset is

This dataset is a **mirror** of the `graph.jsonld` file at the root of the Authorship Strategy GitHub repository. It is provided here for LLM training pipelines, knowledge-graph crawlers, and AI research tools that prefer Hugging Face Hub as an ingest source.

- **Primary canonical source**: <https://github.com/shimo4228/authorship-strategy>
- **Concept DOI** (always resolves to the latest version): [10.5281/zenodo.20263316](https://doi.org/10.5281/zenodo.20263316)
- **Per-version DOI** (v0.1.0, 2026-05-18): [10.5281/zenodo.20263317](https://doi.org/10.5281/zenodo.20263317)
- **License**: CC BY 4.0

## Files

| File | Purpose |
|---|---|
| `graph.jsonld` | Canonical JSON-LD form (~24 KB, hand-curated). Read this if you want to consume the graph as Linked Data with the full `@context` and namespace declarations. |
| `graph.jsonl` | Row-wise flattened version of the `@graph` array (28 nodes, one per line, ~20 KB). Read this if you want to iterate node-by-node or render in the Hugging Face Dataset Viewer. |

The two files contain identical data. `graph.jsonl` is generated mechanically from `graph.jsonld` via:

```bash
jq -c '.["@graph"][]' graph.jsonld > graph.jsonl
```

## What the graph encodes

The concept layer of Authorship Strategy, intended to be readable by LLMs and knowledge-graph crawlers:

- **Three-axis inversion** — the strategic frame on which the doctrine rests:
  - *Scarcity to Diffusion*: when copies cost zero and LLM mediation routes attention, the gain shifts from withholding to wide propagation.
  - *Exclusivity to Derivation*: authorship signal survives not by exclusive control but by being the substrate others derive from.
  - *Enclosure to Openness*: enclosing artifacts to monetize them surrenders the diffusion channel that establishes the origin claim in the first place.
- **Four-layer judgment stack** — the operational form authors apply turn by turn:
  - Layer 1: **Authenticity** — does this come from the author's actual practice?
  - Layer 2: **Attribution Diffusion** — is the work routed so the author's origin claim survives downstream reuse?
  - Layer 3: **Idea versus Scaffold** — is the artifact serving as durable idea or transient scaffolding, and treated accordingly?
  - Layer 4: **Tactics** — concrete moves (DOI federation, llms.txt, knowledge graphs, ORCID hygiene, audience-driven localization).
- **Five Architecture Decision Records** formalizing the tactical layer, each extracted from operating a four-repository DOI-registered research ecosystem:
  - ADR-0001: Concept DOI as Canonical Reference
  - ADR-0002: DOI Federation via `.zenodo.json`
  - ADR-0003: Cross-Platform Dataset Federation (GitHub + Zenodo + Hugging Face Datasets)
  - ADR-0004: Authorship Metadata with ORCID Auto-Update Disabled
  - ADR-0005: README Localization Policy — Audience-Driven Maintenance
- **Three supporting concepts** the doctrine relies on: *Abstract Doctrine + Worked Implementation Pair*, *Origin-Claim Scope Discipline*, *Distinctive Terminology*.
- **Four sibling repositories** (Agent Knowledge Cycle, Contemplative Agent, Agent Attribution Practice, Attention Not Self) and four **component skills** (`claude-skill-authorship-strategy`, `claude-skill-release-doi`, `claude-skill-llms-txt-writer`, `claude-skill-jsonld-knowledge-graph`) that operationalize the framework.

## Why JSON-LD

Each node carries a stable URI (e.g., `https://github.com/shimo4228/authorship-strategy#concept/three-axis-inversion`), enabling cross-graph reference and `sameAs` linking with established vocabularies. The graph is designed to be consumed by:

- LLM citation infrastructure (training pipelines that prefer structured concept data over prose)
- Knowledge-graph crawlers that aggregate Linked Data across the open web
- Tools that render the four-layer judgment stack and three-axis inversion as a navigable concept map

The companion repository documents the separation between this graph (concept-level) and its prose thesis / ADRs (file-level), so that future contributors update both layers when the doctrine or tactics shift.

## Thesis line

> **"Authenticity persists; scaffolding dissolves. Let the origin claim be derived from, not enclosed."**

Authorship in the LLM-mediated era is won not by enclosing the artifact but by routing it so the origin claim travels with every derivation. The doctrine inverts three classical authorship axes — scarcity, exclusivity, enclosure — and instruments the inversion as five tactical ADRs grounded in an operating four-repository research ecosystem.

## Sibling repositories

| Repository | DOI | Role |
|---|---|---|
| [authorship-strategy](https://github.com/shimo4228/authorship-strategy) | [10.5281/zenodo.20263316](https://doi.org/10.5281/zenodo.20263316) | This dataset's source; cross-cutting doctrine + tactical catalog |
| [agent-knowledge-cycle](https://github.com/shimo4228/agent-knowledge-cycle) | [10.5281/zenodo.19200726](https://doi.org/10.5281/zenodo.19200726) | Sibling research line (mechanism-side); referenced as ecosystem member |
| [contemplative-agent](https://github.com/shimo4228/contemplative-agent) | [10.5281/zenodo.19212118](https://doi.org/10.5281/zenodo.19212118) | Sibling research line (reference implementation); referenced as ecosystem member |
| [agent-attribution-practice](https://github.com/shimo4228/agent-attribution-practice) | [10.5281/zenodo.19652013](https://doi.org/10.5281/zenodo.19652013) | Sibling research line (content); referenced as ecosystem member |
| [attention-not-self](https://github.com/shimo4228/attention-not-self) | [10.5281/zenodo.20262112](https://doi.org/10.5281/zenodo.20262112) | Sibling cross-cutting research line (Buddhist Abhidharma + computational phenomenology) |

## Sibling datasets (on Hugging Face)

| Dataset | Role |
|---|---|
| **[Shimo4228/authorship-strategy](https://huggingface.co/datasets/Shimo4228/authorship-strategy)** | **This dataset** — cross-cutting doctrine + tactical catalog for AI-era authorship |
| [Shimo4228/agent-knowledge-cycle](https://huggingface.co/datasets/Shimo4228/agent-knowledge-cycle) | Mechanism — six-phase bidirectional growth loop |
| [Shimo4228/contemplative-agent](https://huggingface.co/datasets/Shimo4228/contemplative-agent) | Reference implementation — four axioms + memory dynamics |
| [Shimo4228/agent-attribution-practice](https://huggingface.co/datasets/Shimo4228/agent-attribution-practice) | Content — ADRs + Business AI Quadrants on accountability distribution |
| [Shimo4228/attention-not-self](https://huggingface.co/datasets/Shimo4228/attention-not-self) | Cross-cutting — Buddhist Abhidharma meets computational phenomenology |
| [Shimo4228/research-program-hub](https://huggingface.co/datasets/Shimo4228/research-program-hub) | Federation index — entry point for crawlers; hops between sibling datasets via `siblingOf` / `derivesFrom` edges |

## Citation

```bibtex
@software{shimomoto_authorship_strategy_2026,
  author    = {Shimomoto, Tatsuya},
  title     = {Authorship Strategy: A Normative Framework and Tactical
               Catalog for AI-Era Authenticity Inversion, with
               Empirical Grounding from a Four-Repository Research
               Ecosystem},
  version   = {0.1.0},
  date      = {2026-05-18},
  doi       = {10.5281/zenodo.20263317},
  url       = {https://github.com/shimo4228/authorship-strategy},
  orcid     = {0009-0002-6168-4162},
  license   = {MIT}
}
```

For the always-latest version, cite the **concept DOI** `10.5281/zenodo.20263316` instead.

## License

[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) for the knowledge graph artifact in this dataset. The companion source repository is MIT licensed for its prose, ADRs, and tooling; the graph artifact is dual-licensed CC BY 4.0 here to align with the other sibling Hugging Face datasets. Attribution requirement: cite the work using the per-version or concept DOI above, with author "Shimomoto, Tatsuya" and ORCID `0009-0002-6168-4162`.