CM Knowledge Engineering works

The curated corpus artefacts are marked Category:Cognitive_Memoisation and Category:public.

overview

• (CM public announcement) Cognitive Memoisation (CM) Public Statement and Stewardship_Model
• (CM plain language) Cognitive Memorisation: Plain-Language Summary (For Non-Technical Readers)
• (CM plain journey) Journey: Human-Led Convergence in the Articulation of Cognitive Memoisation
• (CM modelling) Cognitive Memoisation and LLMs: A Method for Exploratory Modelling Before Formalisation
• (CM-1 main paper) Progress Without Memory: Cognitive Memoisation as a Knowledge-Engineering Pattern for Stateless LLM Interaction
• (CM-2 main paper) Cognitive Memoisation (CM-2) for Governing Knowledge in Human-AI Collaboration
• (CM-2 first self-hosting) First Self-Hosting Epistemic Capture Using Cognitive Memoisation (CM-2)
• (CM-2 Normative Architecture) CM-2 Normative Architecture
• (CM-2 Normative Architecture first self-hosting: via Gemini search!) Serendipitous_Self-Hosting: When the CM-2 Normative Architecture Unexpectedly Held in Gemini
• (CM corpus guide) Cognitive Memoisation: corpus_guide
• (CM access graphs) Publications Access Graphs

governance

See

• Category:Governance:
• Category:Governance Lens:
  • (salience effects) Telemetry-Induced Constraint Salience: An Empirical Study in LLM Behavioural Compliance
  • (new) Governance Axes as a Multi-Dimensional Lens - cross-domain graded pressure analysis of systemic and institutional governance using orthogonal multi-dimensional axes.

    (supersedes Identified Governance Failure Axes: for LLM platforms)

  • Governance_Failure_Axes_Taxonomy - introduction of the taxonomy used for discussion and analysis
  • (superseded paper) Identified Governance Failure Axes: for LLM platforms - Axes emergence from the Failure (extreme) state

    see Governance Axes as a Multi-Dimensional Lens

Note that pre-release and placeholder publications are unavailable - under access control.
The Access Controls are explained at train:Category:Access_Control.
Papers may be un-curated and marked Category:private.

The corpus is designed to be corrigible: all artefacts are held under explicit human authorship and governance, with preserved provenance and an authorised mechanism for correction, revision, or withdrawal over time. (See Why_Machines_Cannot_Own_Knowledge for the governance rationale underlying this corrigibility requirement.)

The corpus is structured as a constructive demonstration of governed, corrigible knowledge infrastructure.

curator note

Licensing precedence for all artefacts is anchored to the timestamp of the first recorded Mediawiki version (UTC) and recorded in the metadata as Publication date. Subsequent revisions do not alter licensing precedence and are tracked separately as version provenance; not all version provenance is required to persist. Mediawiki versioning is used mainly for bot updates.

All papers in this category are published on a rolling basis. For licensing and precedence purposes, each paper’s publication date corresponds to its first recorded public revision (UTC). Subsequent edits do not alter publication status.