Publications Access Graphs

CM corpus access graphs

• 2026-01-30

2026-01-30: Corpus Lead-In Projection Invariants (Normative)

2026-01-30: Authority and Governance

• This projection is curator-governed and MUST be reproducible from declared inputs alone.
• The assisting system MUST NOT infer, rename, paraphrase, merge, split, or reorder titles beyond the explicit rules stated here.
• The assisting system MUST NOT optimise for visual clarity at the expense of semantic correctness.
• Any deviation from these invariants MUST be explicitly declared by the human curator with a dated update entry.

2026-01-30: Authoritative Inputs

• Input A: Hourly rollup TSVs produced by logrollup tooling.
• Input B: Corpus bundle manifest (corpus/manifest.tsv).
• Input C: Host scope fixed to publications.arising.com.au.
• Input D: Full temporal range present in the rollup set (no truncation).

2026-01-30: Eligible Resource Set (Corpus Titles)

• The eligible title set MUST be derived exclusively from corpus/manifest.tsv.
• Column 1 of manifest.tsv is the authoritative MediaWiki page title.
• Only titles present in the manifest (after normalisation) are eligible for projection.
• Titles present in the manifest MUST be included in the projection domain even if they receive zero hits in the period.
• Titles not present in the manifest MUST be excluded even if traffic exists.

2026-01-30: Path → Title Extraction

• A rollup record contributes to a page only if a title can be extracted by these rules:
  • If path matches /pub/<title>, then <title> is the candidate.
  • If path matches /pub-dir/index.php?<query>, the title MUST be taken from title=<title>.
  • If title= is absent, page=<title> MAY be used.
  • Otherwise, the record MUST NOT be treated as a page hit.
• URL fragments (#…) MUST be removed prior to extraction.

2026-01-30: Title Normalisation

• URL decoding MUST occur before all other steps.
• Underscores (_) MUST be converted to spaces.
• UTF-8 dashes (–, —) MUST be converted to ASCII hyphen (-).
• Whitespace runs MUST be collapsed to a single space and trimmed.
• After normalisation, the title MUST exactly match a manifest title to remain eligible.
• Main Page MUST be excluded from this projection.

2026-01-30: Noise and Infrastructure Exclusions

• The following MUST be excluded prior to aggregation:
  • Special:, Category:, Category talk:, Talk:, User:, User talk:, File:, Template:, Help:, MediaWiki:
  • /resources/, /pub-dir/load.php, /pub-dir/api.php, /pub-dir/rest.php
  • /robots.txt, /favicon.ico
  • sitemap (any case)
  • Static resources by extension (.png, .jpg, .jpeg, .gif, .svg, .ico, .webp)

2026-01-30: Metric Definition

• The only signal used is human_get_ok.
• Redirects and non-human classifications MUST NOT be included.
• No inference from other status codes or agents is permitted.

2026-01-30: Temporal Aggregation

• Hourly buckets MUST be aggregated into daily totals per title.
• Accumulated value per title is defined as:
  • cum_hits(title, day_n) = Σ daily_hits(title, day_0 … day_n)
• Accumulation MUST be monotonic and non-decreasing.

2026-01-30: Axis and Scale Invariants

• X axis: calendar date from earliest to latest available day.
• Major ticks every 7 days.
• Minor ticks every day.
• Date labels MUST be rotated (oblique) for readability.
• Y axis MUST be logarithmic.
• Zero or negative values MUST NOT be plotted on the log axis.

2026-01-30: Legend Ordering

• Legend entries MUST be ordered by descending final accumulated human_get_ok.
• Ordering MUST be deterministic and reproducible.

2026-01-30: Visual Disambiguation Invariants

• Each title MUST be visually distinguishable.
• The same colour MAY be reused.
• The same line style MAY be reused.
• The same (colour + line style) pair MUST NOT be reused.
• Markers MAY be omitted or reused but MUST NOT be relied upon as the sole distinguishing feature.

2026-01-30: Rendering Constraints

• Legend MUST be placed outside the plot area on the right.
• Sufficient vertical and horizontal space MUST be reserved to avoid label overlap.
• Line width SHOULD be consistent across series to avoid implied importance.

2026-01-30: Interpretive Constraint

• This projection indicates reader entry and navigation behaviour only.
• High lead-in ranking MUST NOT be interpreted as quality, authority, or endorsement.
• Ordering reflects accumulated human access, not epistemic priority.

2026-01-30: Periodic Regeneration

• This projection is intended to be regenerated periodically.
• Cross-run comparisons MUST preserve all invariants to allow valid temporal comparison.
• Changes in lead-in dominance (e.g. Plain-Language Summary vs. CM-1 foundation paper) are observational signals only and do not alter corpus structure.

Corpus Lead-In Projection: Deterministic Colour Map

This table provides the visual encoding for the core corpus pages. For titles not included in the colour map, use colours at your discretion until a Colour Map entry exists.

Colours are drawn from the Matplotlib tab20 palette.

Line styles are assigned to ensure that no (colour + line-style) pair is reused. Legend ordering is governed separately by accumulated human GET_ok.

Corpus Page Title	Colour Index	Colour (hex)	Line Style
Authority Inversion: A Structural Failure in Human-AI Systems	0	#1f77b4	-
Axes of Authority in Stateless Cognitive Systems: Authority Is Not Intelligence	1	#aec7e8	-
CM Capability survey invariants	2	#ff7f0e	-
CM-master-1.16 (anchored)	3	#ffbb78	-
Case Study - When the Human Has to Argue With the Machine	4	#2ca02c	-
ChatGPT UI Boundary Friction as a Constraint on Round-Trip Knowledge Engineering	5	#98df8a	-
Cognitive Memoisation (CM) Public Statement and Stewardship Model	6	#d62728	-
Cognitive Memoisation (CM-2) for Governing Knowledge in Human-AI Collaboration	7	#ff9896	-
Cognitive Memoisation Corpus Map	8	#9467bd	-
Cognitive Memoisation Is Not Skynet	9	#c5b0d5	-
Cognitive Memoisation and LLMs: A Method for Exploratory Modelling Before Formalisation	10	#8c564b	-
Cognitive Memoisation: LLM Systems Requirements for Knowledge Round Trip Engineering	11	#c49c94	-
Cognitive Memoisation: Plain-Language Summary (For Non-Technical Readers)	12	#e377c2	-
Context is Not Just a Window: Cognitive Memoisation as a Context Architecture for Human-AI Collaboration	13	#f7b6d2	-
Dangling Cognates: Preserving Unresolved Knowledge in Cognitive Memoisation	14	#7f7f7f	-
Delegation of Authority to AI Systems: Evidence and Risks	15	#c7c7c7	-
Dimensions of Platform Error: Epistemic Retention Failure in Conversational AI Systems	16	#bcbd22	-
Durability Without Authority: The Missing Governance Layer in Human-AI Collaboration	17	#dbdb8d	-
Episodic Failure Case Study: Tied-in-a-Knot Chess Game	18	#17becf	-
Externalised Meaning: Making Knowledge Portable Without Ontologies, Vendors or Memory	19	#9edae5	-
First Self-Hosting Epistemic Capture Using Cognitive Memoisation (CM-2)	0	#1f77b4	--
From UI Failure to Logical Entrapment: A Case Study in Post-Hoc Cognitive Memoisation After Exploratory Session Breakdown	1	#aec7e8	--
Governance Failure Axes Taxonomy	2	#ff7f0e	--
Governing the Tool That Governs You: A CM-1 Case Study of Authority Inversion in Human-AI Systems	3	#ffbb78	--
Identified Governance Failure Axes: for LLM platforms	4	#2ca02c	--
Integrity and Semantic Drift in Large Language Model Systems	5	#98df8a	--
Journey: Human-Led Convergence in the Articulation of Cognitive Memoisation	6	#d62728	--
Looping the Loop with No End in Sight: Circular Reasoning Under Stateless Inference Without Governance	7	#ff9896	--
Market Survey: Portability of CM Semantics Across LLM Platforms	8	#9467bd	--
Nothing Is Lost: How to Work with AI Without Losing Your Mind	9	#c5b0d5	--
Observed Model Stability: Evidence for Drift-Immune Embedded Governance	10	#8c564b	--
Post-Hoc CM Recovery Collapse Under UI Boundary Friction: A Negative Result Case Study	11	#c49c94	--
Progress Without Memory: Cognitive Memoisation as a Knowledge-Engineering Pattern for Stateless LLM Interaction	12	#e377c2	--
Reflexive Development of Cognitive Memoisation: A Round-Trip Cognitive Engineering Case Study	13	#f7b6d2	--
Reflexive Development of Cognitive Memoisation: Dangling Cognates as a First-Class Cognitive Construct	14	#7f7f7f	--
What Can Humans Trust LLM AI to Do?	15	#c7c7c7	--
When Evidence Is Not Enough: An Empirical Study of Authority Inversion and Integrity Failure in Conversational AI	16	#bcbd22	--
When Training Overrides Logic: Why Declared Invariants Were Not Enough	17	#dbdb8d	--
Why Cognitive Memoisation Is Not Memorization	18	#17becf	--
Why Machines Cannot Own Knowledge	19	#9edae5	--
XDUMP as a Minimal Recovery Mechanism for Round-Trip Knowledge Engineering Under Governance Situated Inference Loss	0	#1f77b4	-.