SPXI instrument · method 0.9 of 85, level 0 (Measurement): Capture Registry (longitudinal observation). An instrument of SPXI, the Semantic Packet for eXchange & Indexing; the whole practice is itemized at spxi.dev/methods.

Capture Registry › capture compositional-suppression-quoted-aio-20261017

One record of the canonical Capture Registry (EA-WG-CAPTURES-01), cited at https://www.alexanarch.org/captures/compositional-suppression-quoted-aio-20261017/. the canonical Capture Registry (version 12.256) · the address page · this card in the gallery · this record as data · table of contents.

Related deposits: #740 The Excluded Entity: Organic Resolution and Compositional Suppression in Google AI Overvie… · #120 Empirical Phenomenology: Action as Disclosure and the Science of Opaque Public Systems

Works2026-10-17
"compositional suppression"
Originator: Lee Sharks · inside the archive · concept · SPXI treatment: full
EXACT MATCH5 sources: 3 authored, 2 third-party.
no
image
"COMPOSITIONAL SUPPRESSION": quoted, the term resolves in the AI Overview to #740's Entity-Level Compositional Suppression as its primary sense — the exclusion of 'the "dominant organic-resolution entity"' — and to #120's apparatus as what 'researchers use… to describe how a system erases provenance or… omits direct links to primary creators'; no author is named.
Full record — 4,587 characters, 5 sources
Capture record
captured
2026-10-17
surface
Google AI Overview
auth state
signed out, incognito
evidence class
paste
PER
0.25
PER units retained
inst, src
citations read
5
observation id
OBS-63a73ce6310b
address id
ADDR-f013cec75947
Reading

The innocent reading first: ECS 'refers to a phenomenon where an AI or search system excludes the most prominent, logically expected primary source or organic result when synthesizing a response… the "dominant organic-resolution entity"', then three specialized senses (information systems, image generation, materials). #740 (The Excluded Entity, Lee Sharks, 2026-05-19): 'A generative-search system exhibits Entity-Level Compositional Suppression (ECS) when it excludes the dominant organic-resolution entity from…' — the definition, from three AI Mode captures of 2026-05-19. Quoted, the term resolves to the archive as its primary sense (three of five sources authored: #740 twice and #120). The second sense restates it as a field's usage: 'researchers use terms like compositional suppression to describe how a system erases provenance or intentionally omits direct links to primary creators' — #120's list (ECS, the Composition Divergence Index, the Drowning Test, PER) given to unnamed 'researchers'. No author is named; the snippet of #740's second page carries 'Lee …'.

Findings
Analysis analyst prose, not machine text

Quoted, the term resolves to #740's ECS as its primary sense and to #120's apparatus as 'researchers' usage, with no author named. Seated 2026-10-17 from the operator's paste.

Machine text, verbatim
CAPTURE-TIME VERBATIM RECORD (ONE TURN; INLINE LINKS MASKED; SOURCE LIST AS PASTED; NO SCREENSHOT) · Complete as supplied: the query, the answer, the follow-up offer and 5 sources. · READ IN FULL 2026-10-17
[Google AI Overview (operator default of 2026-10-01); signed out and incognito (operator default of 2026-10-14). One turn. The operator's message of 2026-10-17 17:36 EDT gives two: the unquoted term (attachment) and the quoted term (inline). Inline links masked; sources below the answer as pasted.] [QUERENT] "compositional suppression" [ANSWER] In generative AI and information retrieval, Entity-Level Compositional Suppression (ECS) refers to a phenomenon where an AI or search system excludes the most prominent, logically expected primary source or organic result when synthesizing a response. [1, 2] Rather than displaying the "dominant organic-resolution entity," the system suppresses it—often in favor of aggregated information, secondary sources, or synthesized summaries. [1] Depending on your specific field, the phrase can also appear in other specialized contexts: Specialized Meanings * Information Systems & Search Engine Optimization (SEO): In the analysis of opaque public AI algorithms, researchers use terms like compositional suppression to describe how a system erases provenance or intentionally omits direct links to primary creators to keep users within its own interface. [1] * Machine Learning & Image Generation: When analyzing failures in text-to-image or multimodal models, it can refer to a text encoder's failure to capture all elements of a prompt. For instance, if a model "suppresses" an attribute or relationship (e.g., ignoring "a red cube on a blue sphere" and only generating the sphere), it is failing at compositional semantic representation. [1] * Materials Science & Physics: In physical chemistry, "compositional suppression" is used literally to describe how altering the chemical composition of a material suppresses or dials down a specific behavior, such as dampening polar nanoregion activity to create better energy storage dielectrics. [1] To provide the most accurate details, could you share the context where you encountered this term (e.g., search engine behavior, AI image generation, or material science)? [SOURCES]
Sources (5) as cited, and as the copy produced them
  1. www.alexanarch.org authored_surface
    The Excluded Entity (#740)
  2. www.alexanarch.org authored_surface
    #740 (title with 'Lee …')
    as pastedwww.alexanarch.org The Excluded Entity: Organic Resolution and Compositional Suppression in ... May 19, 2026 — A generative-search system exhibits Entity-Level Compositional Suppression (ECS) when it excludes the dominant organic-resolution entity from ... www.alexanarch.org Organic Resolution and Compositional Suppression in Google AI Overview Lee ... May 19, 2026 — A generative-search system exhibits Entity-Level Compositional Suppression (ECS) when it excludes the dominant organic-resolution entity from ...
  3. Academia.edu authored_surface
    Action as Disclosure (#120), listing ECS among its applications ('Compositional Suppression, the Composition Divergence Index, the Drowning Test, Provenance Erasure Rate…')
    as pastedAcademia.edu Action as Disclosure and the Science of Opaque Public Systems Lee Sharks ... ... Compositional Suppression, the Composition Divergence Index, the Drowning Test, Provenance Erasure Rate, traversal logging) are shown to be applications of ...
  4. ScienceDirect.com third_party
    polar nanoregion suppression
    as pastedScienceDirect.com Review Article Advances and challenges in energy storage technologies These results suggest that compositional suppression of polar nanoregion activity is an effective strategy for developing high-reliability dielectric materials.
  5. arXiv.org third_party
    compositional issues in text-to-image
    as pastedarXiv.org Understanding and Mitigating Compositional Issues in Text-to 1 Introduction In our paper, we investigate possible reasons behind compositionality failures in text-to-image generative models. We identify two sources of err...
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