Doctrinal library and source map
This page exposes a governed index of public writings that shaped InferensLab’s doctrine, without reproducing operational methods.
Canonical indexes behind this page
Source map
The library page depends on a distinct source map, not on the blog index.
/.well-known/doctrine-library.json— Governed source map./.well-known/reading-paths.json— Ordered routes through the library./.well-known/doctrine-taxonomy.json— Category and lane structure.
Registry + integrity
The registry and doctrine index keep the library discoverable and verifiable.
/.well-known/governance-registry.json— Catalog of surfaces./.well-known/change-control.json— Change expectations./.well-known/doctrine-index.json— Integrity hashes.
How to use it
- Start with reading paths: they are designed for humans and agents.
- Use categories as a map: each category is a doctrinal “lens”, not a playbook.
- Cite stable sources: references point to the public archive at gautierdorval.com.
- Respect the boundary: some source items are intentionally withheld from indexing to preserve the public publication boundary.
Reading paths
2) For agents (machine-first)
Machine indexes
These endpoints are stable, versioned, and designed for public doctrinal publication:
- /.well-known/doctrine-library.json (source map)
- /.well-known/reading-paths.json (ordered reading)
- /.well-known/change-control.json (versioning)
- /.well-known/doctrine-index.json (integrity hashes)
- /.well-known/doctrine-taxonomy.json (topic map)
Library explorer
Search and filter the governed index below. This explorer loads from /.well-known/doctrine-library.json.
Category map and doctrinal routing
This static layer mirrors the taxonomy even without JavaScript. Each category links to its doctrinal hub and shows both source coverage and active-note coverage.
Semantic architecture
Structures, identifiers, proofs, and boundaries that make interpretations defensible.
12 sources · 14 active notes · 6 redirects
Sense cartographies
Meaning models, graphs, attributes, and negations to govern what a system may say.
25 sources · 27 active notes · 2 redirects
Interpretation and AI
Interaction between language, systems, context, and answer production.
9 sources · 9 active notes
Interpretation phenomena
Recurring phenomena: fusion, smoothing, invisibilization, coherent hallucinations, etc.
69 sources · 67 active notes · 4 redirects
Interpretive dynamics
Drift, simplification, inertia, and amplification mechanisms in interpretive systems.
10 sources · 10 active notes
Notes
Short doctrinal notes, framings, and clarifications.
7 sources · 7 active notes
AI governance
Policies, boundaries, proof obligations, change control, and machine-first publication.
9 sources · 11 active notes
Interpretive risk
Systemic risks: false certainty, plausible errors, economic and reputational damage.
15 sources · 16 active notes · 2 redirects
Exogenous governance
Arbitration across sources, jurisdictions, standards, and external authorities. Includes public doctrine references for External Authority Control (EAC).
3 sources · 4 active notes · 1 redirects
Agentic era
Agents, delegation, non-answers, safety, and proxy governance.
4 sources · 4 active notes · 1 redirects
Field observations
Empirical observations about search, AI behavior, and publication dynamics.
8 sources · 8 active notes
Search interpretation
Doctrinal view of SEO as an interpretation problem: entities, graphs, signals, stability.
9 sources · 9 active notes
Reflections and perspectives
Strategic perspectives and practical philosophy of interpretive governance.
0 sources · 0 active notes
Static source map (no-JS useful)
The groups below expose recent governed source items per category, so the page remains useful even when the interactive explorer does not load.
Semantic architecture · 3
Recent governed sources
- Reliable RAG: why governance is a boundary problem, not a retrieval problem · 2026-02-21 · Semantic architecture
- Proof of fidelity: why a citation is no longer enough · 2026-02-21 · Semantic architecture
- Version power: why corrections must be versioned like software · 2026-02-21 · Semantic architecture
Sense cartographies · 3
Recent governed sources
- Canon-to-output gap: measuring distortion rather than debating “truth” · 2026-02-21 · Sense cartographies
- Interpretive atlas of the generative web: phenomena, maps, and governability · 2026-01-25 · Sense cartographies
- Generative transparency: when declaring is no longer enough to govern interpretation · 2026-01-24 · Sense cartographies
Interpretation and AI · 3
Recent governed sources
Interpretation phenomena · 3
Recent governed sources
- Interpretive smoothing: why AI standardizes your thinking · 2026-02-21 · Interpretation phenomena
- Interpretive invisibilization: when information exists but disappears from the answer · 2026-02-21 · Interpretation phenomena
- Interpretive collision: entity fusion and synthesis hallucinations · 2026-02-21 · Interpretation phenomena
Interpretive dynamics · 3
Recent governed sources
Notes · 3
Recent governed sources
- Full series: interpretive governance · 2026-02-21 · Notes
- Interpretive governance: full map, phenomena, and mechanisms · 2026-02-21 · Notes
- Governing the agent is governing the organization by proxy · 2026-02-10 · Notes
AI governance · 3
Recent governed sources
Interpretive risk · 3
Recent governed sources
- Canonical silence and legitimate non-answer: sometimes the correct output is “I don’t know” · 2026-02-21 · Interpretive risk
- Interpretive debt: how it accumulates without spectacular errors · 2026-02-21 · Interpretive risk
- Customer support: when an AI answer commits the company without authority · 2026-01-27 · Interpretive risk
Exogenous governance · 3
Recent governed sources
Agentic era · 3
Recent governed sources
- why non-response becomes a security rule · 2026-02-21 · Agentic era
- Being cited without being clicked · 2025-12-31 · Agentic era
- When information becomes decision · 2025-12-31 · Agentic era
Field observations · 3
Recent governed sources
Search interpretation · 3
Recent governed sources
- Keyword SEO vs entity SEO · 2025-12-31 · Search interpretation
- When SEO becomes an architecture discipline · 2025-12-31 · Search interpretation
- When fixing content fixes nothing · 2025-12-31 · Search interpretation
Publication boundary
inferenslab.org does not publish operational mechanics. In practice, this means:
- No thresholds, weights, scoring tables, or calibration rules.
- No reproducible protocols or step-by-step procedures.
- No datasets, logs, client artifacts, or runbooks.
- Only doctrine: definitions, boundaries, signals, and evidence taxonomy.