AXN:0BAD.CAPTURE — Data Portraits — Alexanarch AXN resolver

AXN:0BAD.CAPTURE is the position of the Capture Registry address for the query “Data Portraits”. 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:0BAD.CAPTURE.🌇🕘📎☿🔽🚀`

Observation: Google AI Overview, 2026-11-01 · the capture
Description: THE NAME, SIGNED OUT, 2026-11-01: 'Data portraits are visual representations of people made by plotting their accumulated data rather than drawing or photographing their physical faces.' Key examples and meanings: W. E. B. Du Bois's visualizations (1900); personal and digital data portraits (Judith Donath); live interactive art (Giorgia Lupi, TED 2017); 'AI & Machine Learning Artifacts: Contemporary research groups use the term for lightweight inspection tools (like Data Portraits) that record dataset training traces.' An offer of the three directions. Eight cards: giorgialupi, Data Portraits, Zinn Education Project, Pentagram, SparkMap, a YouTube talk (University of Massachusetts Amherst Libraries), MIT Media Lab, ARTnews.com.
Reading: The innocent reading first. Given a two-word name that is also a term of visualization and portraiture, the Overview defines the term, lists four senses of it and asks which the user means; the paper's artifact is the fourth.
Analysis: A disambiguation in which the training-data record is the last of four senses, named by the term alone with no author, venue, corpus or question. The membership query the census row reads it for, whether a work is in a recorded corpus, is not carried.
Match: BROAD MATCH — 'DATA PORTRAITS' ON THE OVERVIEW — THE TRAINING-DATA RECORD THE LAST OF FOUR SENSES, WITH NO AUTHOR, CORPUS OR QUESTION; DU BOIS, DONATH AND LUPI COMPOSED AROUND IT; A PAGE UNDER ITS NAME INDEXED
PER: 0.75 — Neither author of the paper nor any institution named for the artifact; a page under its name carded once among seven sources of the other senses.
Citations: 8 (0 archive-controlled)
Sealed observation: /data/captures/sealed/data-portraits-aio-20261101.json — SHA-256 e46a47a2d55de68e9e7434a88e6a219e2708dd0ef1f4bae9ffaf39eb43276b76