Main Page
Mediawiki Site Statistics
| Files: | 399 | total |
| Pages: | 1,876 | total |
| Users: | 1 |
Metadata (Normative)
| Title: | Main_Page |
| Author: | Ralph B. Holland |
| version: | 1.5.0 |
| Update: | 2026-06-19T16:01Z 1.5.0 - corrected missing data on rollups graphs. 2026-06-18T20:03Z 1.4.0 - updated latest projections. 2026-06-11T23:22Z 1.3.0 - removed AtomFeed, Special:RecentChanges, Special:CiteThisPage, Special:WhatLinksHere, Special:Log and Update links - that were abused by mechanical crawlers. |
| Affiliation: | Arising Technology Systems Pty Ltd |
| Contact: | ralph.b.holland [at] arising.com.au |
| Publication Date: | 2025-12-23T13:00Z |
| Status: | Ongoing. |
The preceding metadata is CM-defined and constitutes the authoritative provenance record for this artefact.
All fields in that table (including artefact, author, version, date and reason) MUST be treated as normative metadata.
The assisting system MUST NOT infer, normalise, reinterpret, duplicate, or rewrite these fields. If any field is missing, unclear, or later superseded, the change MUST be made explicitly by the human and recorded via version update, not inferred.
As curator and author, I apply the Apache License, Version 2.0, at publication to permit reuse and implementation while preventing enclosure or patent capture. This licensing action does not revise, reinterpret, or supersede any normative content herein.
Authority remains explicitly human; no implementation, system, or platform may assert epistemic authority by virtue of this license.
Leads
See:
- (2025-12-17T22:21Z) — Category:Cognitive Memoisation
- Corpus Category Index
- (2025-12-22T19:10Z) — Cognitive Memoisation Corpus_Map
- Corpus Semantic Map
- (2026-01-30T01:55Z) — Publications Access Graphs
- Corpus Telemetry Projections - details and invariants
- (2026-03-20T02:07Z) — CM Mandate.
Overview
This corpus is about Governance, Round-Trip Knowledge Engineering and Epistemic Custody. It has been promoted under Apache 2.0 to prevent Patent enclosure and Classification - so the Corpus and derived and carried works may be disseminated in a Vendor and Platform neutral fashion. The corpus introduces the concepts of Memoisation and CM-2 Protocol as the "GedCom" for AI system/platform human-to-machine and machine-to-machine Knowledge interchange.
Frequent updates are made to this page.
I originally developed the web-traffic classification during the first 5 days after publication to see if I had any human readers, only to discover that human access was subsequently becoming buried in the noise made by machines.
This corpus was proudly developed with ChatGPT free and the author then enthusiastically jumped to the paid tier adoption to obtain reliable file upload and Project Context.
The development of the CM-2 corpus involved sustained experimentation with large language model platforms. These experiments exposed both stochastic behaviour (addressed normatively by CM-2) and systemic platform variations. The resulting observations informed the governance analysis and protocol design documented in this corpus.
These stochastic variations are well understood, but in colloquial language they are often aggregated by semantically summaries with terms and phrases such as:
- Groundhog day,
- Alice in Wonderland,
- Rabbit holes,
- Conversational Continuation,
- Delusion,
- Fabrication,
- Drift,
- Parroting,
- Authority Inversion,
- Normative Drift.
These Stochastic variations can be analysed with the newly released
- (2026-02-15T08:38Z) — Governance Axes as a Multi-Dimensional Lens
semantic scaffolding providing a taxonomy and orthogonal multi-dimensional graduated pressure instrumentation. Perhaps, one of the significant contributions of the corpus - because this scaffold can be used to analyse pressures in other domains, institutions and systems - and are not constrained to LLM.
Axes telemetry instrumentation can be activated within LLM systems - see:
- (2026-02-23T08:35Z) — Telemetry-Induced Constraint Salience: An Empirical Study in LLM Behavioural Compliance.
The entry point was the 2025-12-12 with the first publication on 2025-12-17.
The corpus is structured as a constructive demonstration of governed, corrigible knowledge infrastructure.
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 provenance.
Latest Telemetry Projections
There are large number of anonymous access, some of which I attribute to selected regions or other for remaining regions. The masquerade category aggregates agents that are masquerading as an admitted ai. Admitted identified agent traffic is verified as coming from the correct source.
Only pages marked category:public are accessible due to Category:Access Control.
2026-06-07T03:55Z
2026-06-04T00:00Z
Shutdown nginx and flushed the ipsets and ran ./checkbots across the entire log archive.
2026-06-01T17:54Z
The following anonymous constraint was lifted at 2026-06-01T17:54Z (3:54 am local) to see if some of the anonymous agents have given up since the first SYN rate showed a massive recovery at the tail where the nginx server was shut down for almost an hour to give me time to fix a bug in checkbots.pl which verifies User Agent strings. Post repair I identified agents masquerading as openai, one of which was from a Canberra static IP address, 3 from Telstra and 2 from Starlink addresses! Of course these were all blocked during the no anonymous access policy. A policy I put in place because anonymous traffic was not normal nor well-behaved web-crawler traffic.
The SYN rate telemetry is a counter of the first SYN from the IP address using the connection tracker in my corporate edge router.
In the centre of the rate-graph where the SYN gradient increases is where I applied the no anonymous access for the publications.arising.com.au virtual host. It took days before the agents gave up.
2026-05-28T22:00Z
Anonymous agent block.
From 2026-05-28T22:00Z to 2026-06-01T17:54Z this site only accepted verified white-listed agents. No anonymous access was permitted - and I watched the watchers try to scrape.
Geo blocking has also been active and SG is ALWAYS denied (irrespective) due to weakened governance as a result of the enacted SG Copyright Act 2021 statutory exceptions for AI.
Note that the corpus has been subjected to very heavy metadata extraction from anonymous agents within 5 days of publishing the first CM paper; this is not human traffic and not normal web-scraping traffic. I have included classifications and counter measures over time to watch this traffic. During this particular period of blocking all anonymous access I have been watching the attack rates.
Now the IP addresses are blocked until I flush the ipsets.
2026-05-01T21:53Z
The drop traffic is a result of the iptables chain match to ipsets.
The SYN rate and detection rate show that the server is being hit with traffic, and that traffic is rotating through IP address pools respectively.
Geo filtering and bot Verification were introduced to treat anonymous traffic and masquerading traffic respectively on 2026-04-17.
A new class of filter was introduced to drop anonymous access to metadata on 2026-04-23.
Geo filtering opened up on publications corpus 2026-04-28T26:00Z
Late pass spikes above baseline are due to local server traffic such as backup and archiving.
Governance
Various filters are in place to modify web-traffic and these filters have been adapted over time.
Signapore has one of the clearest statutory exceptions for AI training and text/data mining in the world. So I decided to block Singapore access.