Capture Registry › capture alexanarch-provenance-erasure-rate-aio-20260915

One record of the canonical Capture Registry (EA-WG-CAPTURES-01), cited at https://www.alexanarch.org/captures/alexanarch-provenance-erasure-rate-aio-20260915/. the canonical Capture Registry (version 12.38) · the address page · this card in the gallery · this record as data · table of contents.

Reference & General Knowledge2026-09-15
alexanarch provenance erasure rate
CAPTUREGoogle Search, All tab, dark theme; signed out; 48239 Detroit from IP or past activity; pasted as page text 2026-09-15. Wave 1 of the world strata run.
no
image
THE TIED ARM, WITH THE METRIC FAMILY AND ONE FALSE INSTITUTION. The entity-tied address composes PER with its companion metrics named by initials — QFS, DSL, Ω (Erasure Skew), SAS — the atomic-token rule, the companion paper by title, and the diagnostic reading PER = 1.00, under a heading 'Context in Alexanarch'. Nine organic results, seven archive-side. One false distinction: 'Introduced in research notes by Lee Sharks (Semantic Designs)'. There is no Semantic Designs; the archive's institutions are the Crimson Hexagonal Archive, the Semantic Economy Institute and the Johannes Sigil Institute.
Full record — 3,022 characters, 1 sources
Capture record
captured
2026-09-15
surface
Google AI Overview
auth state
signed out
evidence class
paste
citations read
1
observation id
OBS-ed3f8fc30e5f
address id
ADDR-82337ccf21b4
Reading

The substitution is not new. #1457 (The Capture Registry as Poem, 12 August) recorded it as a slant rhyme in the corpus of captures: Semantic Economy Institute → Semantic Designs. It has recurred a month later in a composition that otherwise reproduces the metric family accurately, which makes it a dated recurrence of a known false edge rather than a fresh error. Beside the untied arm from the same session, the pair shows the same distinction reaching composition at both addresses, with the tied arm adding the metric family, the paper titles and the archive name — and the false institution.

Findings
Analysis analyst prose, not machine text

Seated 2026-09-15 as wave 1 of the flattening panel's world strata (EA-FLAT-01 §4): eight items with no prior observation, run in one session, signed out, one surface. Coding is by TACHYON with the operator and is NOT blind — the panel's conflation targets were authored in the same session, and the schema records blind:false on every row of this wave. Distinction inventories are the panel's; where an inventory proved incomplete it was corrected in the same commit and the correction recorded.

Machine text, verbatim
CAPTURE-TIME VERBATIM RECORD — the composition and the organic layer as pasted by the operator (paired-layer). NOTE: the operator reports that select-all on this surface does not currently select the Overview's source cards, only the organic results; chips recorded here are those that appeared inline in the pasted text, and their absence in a given capture is a limitation of the capture method, not an observation about the composition. · complete as pasted; Overview chips partially captured (see transcript_class) · READ IN FULL 2026-09-15
**USER:** alexanarch provenance erasure rate **GOOGLE AI OVERVIEW:** Provenance Erasure Rate (PER) is a metric measuring how often source identity is stripped from AI-composed or synthesized outputs. Definition & Formula - Core definition: Systematic removal or loss of authorial lineage through AI synthesis, compression, or institutional action. - Formula: - Scope: Evaluates missing attribution at source and claim levels, assessed under rules like atomic token preservation. - Companion/Related metrics: QFS (Query Fidelity Score), DSL (Dropped Source Loss), Ω (Erasure Skew), SAS (Source Attribution Score), and (atomic token preservation). Context in Alexanarch - Introduced in research notes by Lee Sharks (Semantic Designs) and defined on provenanceerasure.org definition surface. - Analyzed in companion papers such as Provenance Erasure Rate Under the Atomic Token Rule. - Tracked across retrieval-stack divergence and self-audit modules (where extreme or total loop erasure readings like PER = 1.00 appear in diagnostic runs). [www.alexanarch.org +4] **ORGANIC LAYER:** 1. alexanarch.org — "Provenance Erasure Rate Under the Atomic Token ... - Alexanarch" 2. alexanarch.org — "The Self-Audit Module Dissolved: Total Provenance Erasure of the ..." 3. OpenAlex — "Provenance Erasure Rate: A Compression-Survival Metric for ..." [Missing: alexanarch] 4. Medium — "Provenance Debt" — "The Provenance Erasure Rate (PER) measurement family..." 5. alexanarch.com — "Metadata Packet for AI Indexing — Erasure Skew ..." 6. Zenodo — "Canonical Definition Surface for Provenance Erasure, PER Metric, and ..." 7. Academia.edu — "The Recoding of a Distinction: Conceptual Entrance Before and After a Substrate ..." 8. provenanceerasure.org — "Provenance Erasure — Lee Sharks" 9. GitHub — "erasure-skew.html - leesharks000/lee-sharks-corporate" [Footer: 48239, Detroit, MI — Based on your past activity · Dark theme: on · Sign in]
Sources (1) as cited, and as the copy produced them
  1. www.alexanarch.org authored_surface
    +4 undisclosed
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