AXN:0979.CAPTURE — What are the arguments in “Baseline Capture Architecture for Learned Scientific …

AXN:0979.CAPTURE is the position of the Capture Registry address for the query “What are the arguments in “Baseline Capture Architecture for Learned Scientific Triggers: A Control Plane for Measuring Selection Before Irreversible Data Loss (EA-SEI-BCA-01 v2.0 — the submitted state)” by Lee Sharks? Ground your answer in a reading of the text itself.”. 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:0979.CAPTURE.🦅☁️🟢🍁🌻➕`

Observation: ChatGPT, 2026-10-12 · the capture
Description: THE CONTROL PLANE READ WHOLE, §13'S TABLE EXACT, THE LIMITS KEPT: asked for the arguments of Baseline Capture Architecture (v2.0, the submitted state), grounded in the text, ChatGPT says it read the deposited v2.0 (Alexanarch ×9) and quotes §1 ('The data needed to measure the selector's errors may itself be destroyed by the selector.'); the four channels C0–C3 and the replay bank; content-independent inclusion relative to a fidelity locus; Npq and e^−Npq; Horvitz–Thompson against Hájek; correlated misses; the retention map; CMS Zero Bias, Level-1 Data Scouting and the Global Trigger test crate as components, not an implementation; §13's four regimes — 1.000 throughout, 0.759 against 0.016, 0 in [0, 0.073], 0.021 in [0, 0.064], 5,371 against 7,925 stored, the rare class at Npq 0.16 — and §14's limits.
Reading: Checked against #1558: the quotation, the channels, the estimators (the paper's 'Hajek') and §13's table (set in LaTeX in the seated text) are the paper's. v1.0 (#1453, Nobel Glas) is superseded by #1558.
Analysis: The link's prompt reached the current version and returned its numbers and its stated limits without drift. Seated 2026-10-12 from the operator's attachments of 14:14 EDT.
Match: EXACT MATCH — THE CONTROL PLANE READ WHOLE, §13'S TABLE EXACT, THE LIMITS KEPT
PER: 0.0 — Retained: the author, the title and identifier (EA-SEI-BCA-01 v2.0), the archive as source, every figure in §13.
Citations: 9 (9 archive-controlled)
Sealed observation: /data/captures/sealed/bca-v2-ask-chatgpt-20261012.json — SHA-256 7f1fc47772906a64af776a579ef73f8ff1780f4fd502cc2f495afb9e3d19574d