Data · dataset · 2026
Addendum to «Critical Analysis and Correction Plan for the ARC-22 Model»: Reproducibility Test Results
Listed in ZivaHub
<p dir="ltr">This addendum reports an independent reproducibility test of the ARC-22 model, based on the specification published in the critical paper (Kuul, 2026, DOI: 10.6084/m9.figshare.34013346).
Description
A Python parser was implemented according to the published rules and run on the ZL3b Voynich corpus (33,206 tokens) and the Timm–Schinner generated text (10,809 tokens). Three parser iterations were performed.
None reproduced the target values of CR = 44.38% (Voynich) and CR = 50.50% (generated): observed CR ranged from 37.79% to 63.96% (Voynich) and from 37.63% to 59.98% (generated). The specification is incomplete: slot priority rules, short-token handling, the 32nd kernel, and the formulas for H₂, ΔBPC and LZ77 are not given. Conclusion: ARC-22, as published, does not reproduce its own reported results and requires substantial revision and rebuilding.</p>
Links
Where it is published
- DOI doi.org/10.6084/m9.figshare.34016907.v1 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Computational linguistics · Corpus linguistics · Earth & Environmental Science · Humanities · Information systems philosophy, research methods and theory
- Inferred from text
- Text 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34016907 | 5 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].anzsrc:field:460909 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Information systems philosophy, research methods and theory'] |
| concepts[field].anzsrc:field:470403 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Computational linguistics'] |
| concepts[field].anzsrc:field:470404 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Corpus linguistics'] |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:humanities | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[modality].local:modality:text | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |