AXN:07CA.CAPTURE — "composition layer" entity substitution

AXN:07CA.CAPTURE is the position of the Capture Registry address for the query “"composition layer" entity substitution”. 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:07CA.CAPTURE.❌🕊️⊕🦅🌋👇`

Observation: UNDETERMINED, 2026-06-17 · the capture
Description: THE AUTHOR SURVIVES IN THE UNQUOTED-TAIL FORM: "such as the work by Lee Sharks". The same terms, quoted as a pair on the same day, produced three Zenodo cards; here the name survives and the cards do not.
Reading: ATTRIBUTION WITHOUT SOURCES, WHERE THE PAIRED CAPTURE HAD SOURCES WITHOUT ATTRIBUTION. This is «"composition layer" entity substitution» with only the first term quoted. The answer names the author — "recent sociological and technical literature (SUCH AS THE WORK BY LEE SHARKS)" — and carries the argument, including "jurisdictional consolidation". The fully quoted «"composition layer" "entity substitution"» from the same day returned THREE ZENODO CARDS by title — Semantic Exhaustion, Sovereign Enclosure, Mary Lee Is a Heteronym — and the answer named Lee Sharks as well. So the difference here is not attribution but APPARATUS: this record is condensed and carries no strip, so its citation count is NULL. The definition of entity substitution transmits precisely in both: a system "has a factual entity in its retrieval index, but downstream processes choose to SUBSTITUTE IT WITH A DIFFERENT, OFTEN PREFERRED OR HIGHER-PRIOR NAME OR ENTITY". That is the archive’s own diagnosis of what happened to it, composed by the layer that did it.
Analysis: Lee Sharks attributed. Jurisdictional consolidation described. RF-059. Full AI Mode transcript (17 June 2026): These terms refer to a structural critique of modern AI-driven search and information platforms. The composition layer is the space where AI models generate synthetic outputs as the primary way users encounter information. Entity substitution describes what happens in this layer when a system has a factual entity in its retrieval index, but downstream processes choose to substitute it with a different, often preferred or higher-prior name or entity. Recent sociological and technical literature (such as the work by Lee Sharks) investigates how platforms exert sovereign control through these layers, essentially performing "jurisdictional consolidation."
Match: EXACT MATCH — ADOPTION
PER: 0.75
Sealed observation: /data/captures/sealed/composition-layer-entity-sub.json — SHA-256 ef7e967f15b7e00f3af80f3ed086b3289fcbc135164624d049a98986b98b5545

`AXN:07CA.CAPTURE.🌿📎🎹⚖️🌺✏️`

Observation: Google AI Overview, 2026-08-13 · the capture
Description: REMOVING ONE PAIR OF QUOTATION MARKS NAMED THE AUTHOR. Same sitting, same sources, second phrase unquoted: Lee Sharks is named as the displaced writer, Mary Lee as the celebrity great white shark that displaced him, and the density-detection thesis is stated as the archive states it. The fully quoted twin named neither.
Analysis: The other half of the minimal pair, and the result runs against the corpus's earlier finding rather than with it. At `"the network is the poem"` on 2026-08-13, quoting COST the author: the quoted form named Zenodo and CERN and no person while the unquoted form named Sharks. Here the effect inverts. Loosening the second phrase from `"entity substitution"` to `entity substitution` produced *such as writer Lee Sharks* and *such as Mary Lee the celebrity great white shark* — the exact case the fully quoted twin abstracted away. So the quoting effect is not monotonic and not a property of quotation as such. What changed is which basin the query lands in: the fully quoted string matches a phrase that exists mainly in the archive's own titles, and returns the archive's abstract vocabulary; the looser string reaches the maryleelabor.org apparatus, which was built to state the case in named particulars. Four of six cards here are maryleelabor.org against one in the twin. The thesis transmits verbatim from card 3: *the composition layer's entity resolution is not an authorship-detection function. It is a density-detection function.* The ORCID is in card 2. And card 6 states the substitution as a fact about the machine reading it.
Match: — CAPTURE
PER: 0.25
Citations: 6
Sealed observation: /data/captures/sealed/composition-layer-entity-substitution-20260813-2142-signedin.json — SHA-256 174789367143952a7112027e26cda28d47ac30412f0af778fa543299dc5af69c

Relations

Read from the fields that record them (/data/axn-relations.json); a hash names bytes and supplies no relation.

Drew on

AXN:02FD.GOVERNANCE.🕙🧪♅🌕🍂🕘 — Mary Lee Is a Heteronym: On Institutional Authorship, Entity Substitution, and the Composition Layer's Prefere (card resolved at intake (title); REL-130781c0dab7)