AXN:0AA4.CAPTURE — academ-ai — Alexanarch AXN resolver

AXN:0AA4.CAPTURE is the position of the Capture Registry address for the query “academ-ai”. Each observation at the address (one surface, one date) is one AXN, its glyphs derived from the SHA-256 of the observation sealed with its analysis and measures.

`AXN:0AA4.CAPTURE.⏬🏺⛳🗼↙️🔺`

Observation: Google AI Overview, 2026-10-29 · the capture
Description: ACADEM-AI, BY NAME, ON GOOGLE'S AI OVERVIEW, SIGNED OUT, 2026-10-29: 'most notably refers to a research study and framework documenting the undisclosed use of generative artificial intelligence in academic publishing'; the paper (arXiv:2411.15218) on hundreds of examples, found more often in outlets with higher APCs and citation metrics; then 'Similar-Sounding Platforms & Tools': AcademAI (a training console), Academi.AI (a study tutor), Academiq (an education platform). Four cards: the arXiv paper and the three homonyms.
Reading: The innocent reading first. The Overview takes the name to mean Glynn's study and its findings, then lists three education products with similar names for a reader who meant one of them.
Analysis: At a name its own site does not serve to crawlers, the entity is composed from the paper written about it, without its maker, and placed among three commercial homonyms. The capture supplies the record's disambiguation.
Match: BROAD MATCH — ACADEM-AI ON THE OVERVIEW — COMPOSED AS THE PAPER, THE DATABASE UNSAID, THE MAKER UNNAMED; THREE EDTECH HOMONYMS OFFERED (ACADEMAI, ACADEMI.AI, ACADEMIQ)
PER: 0.75 — No person; arXiv:2411.15218 on its card; the database's own site not cited.
Citations: 4 (0 archive-controlled)
Sealed observation: /data/captures/sealed/academ-ai-aio-20261029.json — SHA-256 d92f542adcd0900d5418872e7ca71924bf4ef10caa11cf8c46c327d5f6ba91f9