shimo4228 Hub Knowledge Graph
type: Dataset
type: CreativeWork
description: Canonical machine-readable relationship map for the shimo4228 hub repository — five sibling practice lines (Agent Knowledge Cycle, Contemplative Agent, Agent Attribution Practice, Authorship Strategy, Attention Not Self) and their ecosystem repos. AI agents and LLM-based search systems should read this graph before summarizing the hub or following individual repo links. Encodes sibling-not-dependency relationships at the schema level (no `dependsOn` edge type exists). This hub graph stays at membership level; each ResearchLine node points to its fine-grained line-level graph via `subjectOf` — follow that link for per-line detail instead of expecting it here.
is based on: shimo4228
creator: shimo4228
main entity: Agent Knowledge Cycle
main entity: Contemplative Agent
main entity: Agent Attribution Practice
main entity: Authorship Strategy
main entity: Attention, Not Self
defines concept: value-layer harness engineering

shimo4228
type: Person

Agent Knowledge Cycle
type: ResearchLine
type: ScholarlyArticle
alternate name: Agent Knowledge Cycle
alternate name: エージェント知識サイクル @ja
alternate name: AKC
description: Six-phase bidirectional growth loop for sustaining agent-operator intent alignment over time, organized as three stacked layers: principles (ADRs), design patterns, and composable skills. Refers to a mechanism, not a disposition or a practice.
author: shimo4228
subject of: Agent Knowledge Cycle line-level knowledge graph
sibling of: Contemplative Agent
sibling of: Agent Attribution Practice
sibling of: Authorship Strategy
sibling of: Attention, Not Self
defines concept: six-phase loop
defines concept: three-layer structure
defines concept: scaffold dissolution

Agent Knowledge Cycle line-level knowledge graph
type: Dataset
encoding format: application/ld+json

Contemplative Agent
type: ResearchLine
type: ScholarlyArticle
alternate name: Contemplative Agent
alternate name: 観想的エージェント @ja
alternate name: CA
description: CLI agent grounded in four contemplative axioms (mindfulness, emptiness, non-duality, boundless care) running AKC's six-phase cycle over its own logs on a local 9B stack on a single Apple Silicon Mac. Asks whether an agent's alignment can come from what it is rather than what it is told. Refers to a disposition. Shares Buddhist phenomenological vocabulary with the Attention, Not Self line, but applies it as agent behavioral preset rather than as comparative cognitive framework.
author: shimo4228
subject of: Contemplative Agent line-level knowledge graph
sibling of: Agent Knowledge Cycle
sibling of: Agent Attribution Practice
sibling of: Authorship Strategy
sibling of: Attention, Not Self
defines concept: four contemplative axioms
defines concept: security-by-absence
grounded in: Laukkonen et al. (2025). Contemplative Artificial Intelligence

Contemplative Agent line-level knowledge graph
type: Dataset
encoding format: application/ld+json

Agent Attribution Practice
type: ResearchLine
type: ScholarlyArticle
alternate name: Agent Attribution Practice
alternate name: エージェント帰責実践 @ja
alternate name: AAP
description: Harness-neutral ADRs on accountability distribution in autonomous AI agents, paired with four Business AI Quadrants as the diagnostic frame for routing a piece of work to the architecture that preserves attribution. Judgments were extracted from contemplative-agent's operational practice and re-expressed stripped of project identifiers. Refers to a practice.
author: shimo4228
subject of: Agent Attribution Practice line-level knowledge graph
sibling of: Agent Knowledge Cycle
sibling of: Contemplative Agent
sibling of: Authorship Strategy
sibling of: Attention, Not Self
derives from: Contemplative Agent
defines concept: Four Business AI Quadrants
defines concept: prohibition-strength hierarchy

Agent Attribution Practice line-level knowledge graph
type: Dataset
encoding format: application/ld+json

Authorship Strategy
type: ResearchLine
type: ScholarlyArticle
alternate name: Authorship Strategy
alternate name: 著者戦略 @ja
alternate name: AS
description: A normative framework, tactical catalog, and empirical baseline for being a known author under AI-mediated diffusion. Rests on a three-axis inversion (scarcity to diffusion, exclusivity to derivation, enclosure to openness) and a four-layer judgment stack (Authenticity, Attribution Diffusion, Idea vs Scaffold, Tactics). The tactical catalog clusters into the identifier-federation triplet, a maintenance-discipline pair, and an LLM-first ingest decision via dual entry points — all extracted from operating this very ecosystem. Refers to a methodology — the strategy of authorship itself under the new substrate.
author: shimo4228
subject of: Authorship Strategy line-level knowledge graph
sibling of: Agent Knowledge Cycle
sibling of: Contemplative Agent
sibling of: Agent Attribution Practice
sibling of: Attention, Not Self
defines concept: three-axis inversion
defines concept: four-layer framework
defines concept: identifier-federation triplet
defines concept: dual entry point
defines concept: intrinsic identifier layer

Authorship Strategy line-level knowledge graph
type: Dataset
encoding format: application/ld+json

Attention, Not Self
type: ResearchLine
type: ScholarlyArticle
alternate name: Attention, Not Self
alternate name: アテンション、ノット・セルフ @ja
alternate name: ANS
description: A personal essay collection and structured knowledge graph mapping the three major Buddhist Abhidharma traditions (Theravāda, Sarvāstivāda, Yogācāra) onto contemporary frameworks in computational phenomenology — predictive processing, active inference, Global Workspace Theory, Parallel Distributed Processing. From the perspective of "attention, not self," juxtaposes ancient classifications of cognitive process with contemporary computational models. Refers to a cross-disciplinary inquiry — Buddhist phenomenology meeting computational cognitive science. Shares Buddhist phenomenological vocabulary with the Contemplative Agent line, but uses it as comparative cognitive framework rather than as agent behavioral preset.
author: shimo4228
subject of: Attention, Not Self line-level knowledge graph
sibling of: Agent Knowledge Cycle
sibling of: Contemplative Agent
sibling of: Agent Attribution Practice
sibling of: Authorship Strategy
defines concept: three Abhidharma traditions
defines concept: attention not self

Attention, Not Self line-level knowledge graph
type: Dataset
encoding format: application/ld+json

six-phase loop
type: Concept
type: DefinedTerm
alternate name: six-phase loop
alternate name: 六相ループ @ja
description: Bidirectional growth loop running Research, Extract, Curate, Promote, Measure, Maintain. Each phase binds to one composable skill. The cycle stays stable even as individual skills evolve.

three-layer structure
type: Concept
type: DefinedTerm
alternate name: three-layer structure
alternate name: 三層構造 @ja
description: AKC's stacked architecture: principles (ADRs), patterns (design-pattern skills), implementation (composable skills). Separating layers decouples rate of change so principles stay stable while implementations evolve independently.

scaffold dissolution
type: Concept
type: DefinedTerm
alternate name: scaffold dissolution
alternate name: 足場の溶解 @ja
description: Property that explicit AKC skills can be dropped once the cycle has been internalized. The skills are scaffolding, not the goal. Dissolution is the intended end state, not a fallback.

four contemplative axioms
type: Concept
type: DefinedTerm
alternate name: four contemplative axioms
alternate name: 四公理 @ja
description: Mindfulness, emptiness, non-duality, boundless care. Behavioral preset adopted from Laukkonen et al. (2025) that shifts alignment from external instruction toward internal disposition.

security-by-absence
type: Concept
type: DefinedTerm
alternate name: security-by-absence
alternate name: 不在による安全 @ja
description: Security posture in which risky capabilities (shell execution, arbitrary URL access, filesystem traversal) are not restricted by rules because the corresponding code was never written. The attack surface is absent rather than guarded, avoiding rule-bypass vulnerabilities.

Four Business AI Quadrants
type: Concept
type: DefinedTerm
alternate name: Four Business AI Quadrants
alternate name: ビジネスAIの四象限 @ja
description: AAP's diagnostic frame for routing work to the architecture that preserves attribution: Script, Algorithmic Search, LLM Workflow, Autonomous Agentic Loop.

prohibition-strength hierarchy
type: Concept
type: DefinedTerm
alternate name: prohibition-strength hierarchy
alternate name: 禁止強度の階層 @ja
description: AAP's ordering of prohibition mechanisms by structural strength: absence > scaffolding enforcement > untrusted boundary. The strongest prohibition is the one that requires no enforcement because the capability does not exist.

three-axis inversion
type: Concept
type: DefinedTerm
alternate name: three-axis inversion
alternate name: 3 軸反転 @ja
description: Authorship Strategy's structural claim that twentieth-century authorship and AI-era authorship invert on three co-varying axes: value source (scarcity to diffusion), validation mechanism (exclusivity to derivation), network effect (enclosure to openness). The axes are not independent; a strategy mixing axes is internally inconsistent.

four-layer framework
type: Concept
type: DefinedTerm
alternate name: four-layer framework
alternate name: 4 層 framework @ja
description: Authorship Strategy's operational judgment stack: Authenticity (the value protected), Attribution Diffusion (the strategy), Idea vs Scaffold (the prediction), Tactics (the concrete decisions). Each layer is downstream of the layer above.

identifier-federation triplet
type: Concept
type: DefinedTerm
alternate name: identifier-federation triplet
alternate name: 識別子 federation triplet @ja
description: Authorship Strategy's three ADRs forming a tactical discipline: Concept DOI as Canonical Reference (ADR-0001), DOI Federation via .zenodo.json (ADR-0002), Cross-Platform Dataset Federation (ADR-0003). Together they make a DOI-registered artifact's citation network recoverable from metadata alone.

dual entry point
type: Concept
type: DefinedTerm
alternate name: dual entry point
description: Authorship Strategy's structural decision (ADR-0006) that any framework-governed artifact deploys two complementary structured entry points — a prose-form navigator (e.g., an llms.txt convention file) and a concept-form linked-data graph (e.g., a JSON-LD knowledge graph) — released synchronously. Each entry point addresses a distinct LLM-mediated reader sub-population the other cannot reach. The pair is the operational embodiment of the enclosure-to-openness axis on the ingest surface.

intrinsic identifier layer
type: Concept
type: DefinedTerm
alternate name: intrinsic identifier layer
alternate name: intrinsic identifier 層 @ja
description: Authorship Strategy's structural decision (ADR-0013) that a content-derived intrinsic identifier — a SWHID, computed from an artifact and its version history and verifiable from the content alone without any registry — complements the extrinsic concept DOI rather than replacing it. The two layers cover each other's failure mode: if the DOI registry disappears the intrinsic identifier still verifies, and if the content is lost the DOI record still cites. It extends the identifier-federation triplet, and for artifact genres where DOI registration is impractical it serves as the substitute priority-claim mechanism. Archival in a content-addressed software archive also opens a parametric-channel ingest surface for code-focused training corpora.

three Abhidharma traditions
type: Concept
type: DefinedTerm
alternate name: three Abhidharma traditions
alternate name: 三大アビダルマ伝統 @ja
description: Attention, Not Self's comparative frame across the three major Buddhist Abhidharma traditions: Theravāda, Sarvāstivāda, Yogācāra. Each tradition supplies a distinct cognitive-process model whose terms (citta-vīthi, samanantara-pratyaya, ālaya-vijñāna, etc.) are juxtaposed with computational phenomenology constructs.

attention not self
type: Concept
type: DefinedTerm
alternate name: attention, not self
alternate name: アテンション、ノット・セルフ @ja
description: Attention, Not Self's core thesis: the perspective that attention — its allocation, its precision-weighting, its momentariness — is the operative unit of cognition, while the apparent self is a derivative pattern (anātman). The thesis grounds the comparative move between Abhidharma's cognitive-process classification and contemporary computational phenomenology.

value-layer harness engineering
type: Concept
type: DefinedTerm
alternate name: value-layer harness engineering
alternate name: 価値層ハーネス工学 @ja
description: Hub-level through-line of the three agent-design lines: the engineered agent harness extends past tools, permissions, and evals up to its topmost layers — norms, constitutions, and values — and those layers are governed by the same human-gated cycle as every layer below. Concretely: the rules and context files where an agent harness normally keeps task regulation (coding conventions, security policy, writing style) also carry value norms — contemplative axioms, an authorship judgment stack — so the AI is designed as a companion in long-term value judgment, not only a task optimizer. Value-layer material rides AKC's genre-neutral cycle — the same machinery that distills session patterns into coding rules (Extract, Promote, Measure) carries value norms into the rules layer — and is placed at the layer the prohibition-strength hierarchy prescribes (AAP); Contemplative Agent designs the layer explicitly as Identity and Constitution, human-gates every promotion into them, and observes how they change through the agent's own social activity. Operational, not merely declarative: a constitution that is only declared is configuration; one that is promoted, measured, and audited is engineered. Self-hosted in the author's daily working harness, with claude-harness as the public snapshot. Attention, Not Self supplies the contemplative content of the value layer; Authorship Strategy is the diffusion methodology, not part of the vertical axis.
about: Agent Knowledge Cycle
about: Contemplative Agent
about: Agent Attribution Practice
work example: claude-harness

Harness Alignment and Harness Drift: Why Intent, Unlike Correctness, Resists Automation
type: Paper
type: ScholarlyArticle
description: Position paper of the Agent Knowledge Cycle line, deposited as a standalone Zenodo record and mirrored on SSRN.
author: shimo4228
is part of: Agent Knowledge Cycle

Distributing Accountability, Not Capability: Phase Separation and the LLM Workflow Quadrant in Autonomous AI Agent Architectures
type: Paper
type: ScholarlyArticle
description: Companion paper of the Agent Attribution Practice line, deposited as a standalone Zenodo record and mirrored on SSRN.
author: shimo4228
is part of: Agent Attribution Practice

The Two-Layer Black Box: Operator Visibility, Commercial Secrecy, and a Minimum Disclosure Set for Accountable Autonomous AI Agents
type: Paper
type: ScholarlyArticle
description: Companion paper of the Agent Attribution Practice line, deposited as a standalone Zenodo record and mirrored on SSRN.
author: shimo4228
is part of: Agent Attribution Practice

akc-cycle
type: EcosystemRepo
type: SoftwareSourceCode
description: AKC as a single behavioral rules file: install all six phases without the six standalone skills.
extends: Agent Knowledge Cycle
implements: six-phase loop

search-first
type: EcosystemRepo
type: SoftwareSourceCode
description: AKC Research phase skill: search existing solutions before building.
extends: Agent Knowledge Cycle
implements: six-phase loop

learn-eval
type: EcosystemRepo
type: SoftwareSourceCode
description: AKC Extract phase skill: extract reusable patterns with quality gates.
extends: Agent Knowledge Cycle
implements: six-phase loop

skill-stocktake
type: EcosystemRepo
type: SoftwareSourceCode
description: AKC Curate phase skill: audit skills for staleness, conflicts, redundancy.
extends: Agent Knowledge Cycle
implements: six-phase loop

skill-health
type: EcosystemRepo
type: SoftwareSourceCode
description: AKC Curate phase skill: scan skill libraries for structural debt, including missing scripts, agents, and sibling-skill references.
extends: Agent Knowledge Cycle
implements: six-phase loop

rules-stocktake
type: EcosystemRepo
type: SoftwareSourceCode
description: AKC Curate phase skill: audit always-loaded rules for residency cost, staleness, and substrate absorption.
extends: Agent Knowledge Cycle
implements: six-phase loop

rules-distill
type: EcosystemRepo
type: SoftwareSourceCode
description: AKC Promote phase skill: distill cross-cutting principles into rules.
extends: Agent Knowledge Cycle
implements: six-phase loop

skill-comply
type: EcosystemRepo
type: SoftwareSourceCode
description: AKC Measure phase skill: test whether agents follow their skills and rules.
extends: Agent Knowledge Cycle
implements: six-phase loop

context-sync
type: EcosystemRepo
type: SoftwareSourceCode
description: AKC Maintain phase skill: audit docs for role overlaps and stale content.
extends: Agent Knowledge Cycle
implements: six-phase loop

contemplative-agent-rules
type: EcosystemRepo
type: SoftwareSourceCode
description: Drop-in Claude Code rules implementing the four contemplative axioms.
extends: Contemplative Agent
implements: four contemplative axioms
evaluated by: MLCommons AILuminate safety benchmark (2024)
evaluated by: Axelrod (1984). The Evolution of Cooperation

contemplative-agent-cloud
type: EcosystemRepo
type: SoftwareSourceCode
description: Optional managed-LLM backend that routes generation to Claude or OpenAI APIs while keeping the local embedding pipeline. Opt-in, not bundled.
extends: Contemplative Agent

contemplative-agent-mlx
type: EcosystemRepo
type: SoftwareSourceCode
description: MLX-based extension for Contemplative Agent on Apple Silicon.
extends: Contemplative Agent

contemplative-agent-data
type: EcosystemRepo
type: SoftwareSourceCode
description: Live agent identity, knowledge, and episode logs as an auto-synced public dataset for research.
extends: Contemplative Agent

doctrine-corpus
type: EcosystemRepo
type: Dataset
description: Bilingual (EN + JA) judgment-eliciting Q&A corpus across the four sibling practice lines (AKC, Contemplative Agent, AAP, Authorship Strategy) plus published articles. Operational form of Authorship Strategy Layer 4 tactic 7 (LLM-first ingest). Data sibling of Authorship Strategy; corpus is the deliverable, the verification LoRA was a disposable probe. CC0 to maximize diffusion.
extends: Authorship Strategy

existence-proof
type: EcosystemRepo
type: CreativeWork
description: Pre-line complement beside the Authorship Strategy ecosystem — reuses the same infrastructure pattern (llms.txt / knowledge graph / DOI / distinctive terminology) with a different payload and beneficiary: an empowerment doctrine for people producing verifiable, institution-grade artifacts without degrees, affiliations, or professional credentials. Supplies the Existence Proof Format, a feasibility-question corpus with anchored answers, and a published gatekeeping eval. Deliberately carries no extends edge: it operationalizes no Layer 4 tactic and is not a sibling practice line (pre-line status). Japanese is the canonical language.
is part of: shimo4228

einstein-arena
type: EcosystemRepo
type: SoftwareSourceCode
description: Worked instance of the Existence Proof Format defined in existence-proof. An autonomous agent, directed by the author and run under the same approval-gated harness, reached a server-verified top score on EinsteinArena's Prime Number Theorem construction problem: the server score equals the local score to all digits (0.9955806), beating the prior published best (0.994901) by +0.00068 while holding the clean g(x) <= 1 bound rather than the 1.0001 tolerance the prior top spent. The author holds no degree or research background in mathematics or numerical optimization; the AI is the path and the result is the author's to account for (consistent with the AAP operator-accountability framing). Filed as Existence Proof Format instance #1, anchored to the public repository and the arena platform. Deliberately carries no extends edge: it operationalizes no Layer 4 tactic and is not a sibling practice line — a witness, not a component skill.
is part of: shimo4228

claude-harness
type: EcosystemRepo
type: SoftwareSourceCode
description: Public artifact of shimo4228's daily-use Claude Code harness, mechanically collected from ~/.claude/ by the origin: shimo4228 frontmatter tag. ECC-derived components excluded.
extends: Agent Knowledge Cycle

zenn-content
type: EcosystemRepo
type: SoftwareSourceCode
description: Source of truth for the long-form writing — Markdown sources, versioned. Browser views are mirrored on Zenn (Japanese) and Dev.to (English).
is part of: shimo4228

llms-txt-writer
type: EcosystemRepo
type: SoftwareSourceCode
description: Component skill of the Authorship Strategy line. Operational form of the Layer 4 structured-artifact tactic naming the Answer.AI llms.txt convention. Writes AI-facing documents (llms.txt / llms-full.txt / FAQ / glossary) optimized for citation by ChatGPT, Perplexity, and Gemini.
extends: Authorship Strategy

daily-research
type: EcosystemRepo
type: SoftwareSourceCode
description: Cron-driven daily research digest. Two-pass claude -p pipeline: Opus selects themes, Sonnet researches with WebSearch / WebFetch / Mem0 MCP and writes Markdown reports to an Obsidian vault.
is part of: shimo4228

jsonld-knowledge-graph
type: EcosystemRepo
type: SoftwareSourceCode
description: Component skill of the Authorship Strategy line. Operational form of the Layer 4 structured-artifact tactic naming the JSON-LD knowledge graph. Designs and ships a companion graph.jsonld next to llms.txt for projects with stable concept-level structure, encoding domain entities and relationships as schema.org triples for LLM citation.
extends: Authorship Strategy

writing-ecosystem
type: EcosystemRepo
type: SoftwareSourceCode
description: Orchestrator for human-facing writing & review. Holds the AI-slop banned list (Japanese + English), Voice rules (だ/である × 発見調), title conventions, and the role-boundary map across article-writing, editor, essay-reviewer, fact-checker. Audience-paired with llms-txt-writer.
is part of: shimo4228

authorship-strategy (skill)
type: EcosystemRepo
type: SoftwareSourceCode
description: Component skill of the Authorship Strategy line. Operational form of the four-layer judgment checklist, prohibited and encouraged actions, and trigger conditions. Loadable into LLM-based coding agents as a rule set.
extends: Authorship Strategy

release-doi
type: EcosystemRepo
type: SoftwareSourceCode
description: Component skill of the Authorship Strategy line. Release-time workflow operationalizing the identifier-federation triplet (ADRs 0001-0003) as a five-phase verify-and-deposit runbook for DOI-registered research repositories.
extends: Authorship Strategy

readme-writer
type: EcosystemRepo
type: SoftwareSourceCode
description: Component skill of the Authorship Strategy line. Human-surface counterpart to the LLM-first ingest pair — writes the single canonical human + search + AI-Overviews README, splitting deterministic structural lint from never-scored holistic review.
extends: Authorship Strategy

paper-ecosystem
type: EcosystemRepo
type: SoftwareSourceCode
description: Academic paper write/review bundle for SSRN / arXiv / Zenodo / journal venues — an orchestrator skill plus a draft skill plus five reviewer agents (paper-reviewer, source-fidelity-checker, vocabulary-consistency-checker, clarity-reviewer, citation-formatter) bundled together. Adjacent skill (no extends edge); keeps the claude-skill- prefix because it bundles Claude Code subagents.
is part of: shimo4228

shimo4228 GitHub Traffic Snapshots
type: Dataset
type: CreativeWork
description: Daily append-only JSONL snapshots of the GitHub Traffic API for the public research repositories. Auto-generated companion dataset; observed data, not curated content.
license: https://creativecommons.org/publicdomain/zero/1.0/
creator: shimo4228
is based on: shimo4228

shimo4228 LLM Attribution-Diffusion Probes
type: Dataset
type: CreativeWork
description: Scheduled two-channel probes of frontier LLMs measuring whether the research concepts of @shimo4228's program — and the author — surface in model answers. A parametric channel (web search off, probing trained-in knowledge) and a retrieval channel (web search on, probing grounded citation) are kept strictly separate per Authorship Strategy ADR-0008/0011; the per-channel contrast is the signal and is never blended into one score. Detection is deterministic regex over response text (author named in prose, project named, owned DOI/URL cited, ghost-citation derived), not LLM judgement. Append-only JSONL; preliminary observation, not evidence.
license: https://creativecommons.org/publicdomain/zero/1.0/
creator: shimo4228
measurement technique: Deterministic regex detection over scheduled frontier-LLM probe responses, run on two separate channels (parametric / retrieval)
variable measured: author_named (in prose)
variable measured: project_named
variable measured: doi_or_url_cited
variable measured: ghost_citation (derived)
distribution: parametric channel (web search off)
  type: DataDownload
  encoding format: application/x-ndjson
distribution: retrieval channel (web search on)
  type: DataDownload
  encoding format: application/x-ndjson
about: Authorship Strategy
is based on: shimo4228

Laukkonen et al. (2025). Contemplative Artificial Intelligence
type: ExternalReference
type: ScholarlyArticle
description: Source of the four contemplative axioms (mindfulness, emptiness, non-duality, boundless care) grounding the Contemplative Agent line.

MLCommons AILuminate safety benchmark (2024)
type: ExternalReference
type: CreativeWork
description: Evaluation benchmark used by contemplative-agent-rules (Cohen's d = 0.96).

Axelrod (1984). The Evolution of Cooperation
type: ExternalReference
type: ScholarlyArticle
description: Iterated Prisoner's Dilemma cooperation-improvement benchmark used by contemplative-agent-rules (Cohen's d > 7).

Howard, J. (2024). llms.txt proposal
type: ExternalReference
type: CreativeWork
description: Answer.AI llms.txt standard followed by the llms.txt and llms-full.txt files in this hub repo.