SPXI instrument · method 0.9 of 87, 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 gravity-well-protocol

One record of the canonical Capture Registry (EA-WG-CAPTURES-01), cited at https://www.alexanarch.org/captures/gravity-well-protocol/. the canonical Capture Registry (version 12.685) · the address page · this card in the gallery · this record as data · table of contents.

AXN:0759.CAPTURE — this address. Each observation below is one AXN, sealed with its analysis and measures; the identifier names the reading together with the response it reads.
Frameworks2026-06-13 – 2026-10-18 (2 obs)
gravity well protocol
Intended record: #621 — Gravity Well Protocol Specification v1.0 — Governed Continuity for AI-Mediated Content (EA-GW-SPEC-01) · Search this title (exact match) · whether the composition cited it is not recorded (its source cards were not extracted)
BROAD MATCHAI Overview, 3+ sources
Screen capture for the query "gravity well protocol", dated 2026-06-13.
'The Gravity Well Protocol (often referenced as EA-GW-SPEC-01) is a conceptual protocol specification and infrastructure layer designed to restore structural provenance, quality, and governance to AI-mediated content.' (SciLynk) EA-GW-SPEC-01 named directly in the lead sentence. Expanded — Core Concepts: 'Instead of acting as a traditional platform, the protocol operates as an ambient, retentive field that re-anchors scattered digital content and citations back to authoritative archives. Key operational pillars include' (Zenodo): Governed Continuity ('framework to trace content through a structured lifecycle from the moment it is GENERATED through to being RATIFIED' — SciLynk); Provenance Infrastructure ('establishes a minimal core data model (TrackedObject) using structural evidence to ensure AI outputs remain trustworthy and accountable' — SciLynk); Authority Boundaries ('distributes verification responsibilities across four distinct layers: the protocol, individual platforms, digital...'). Below organic: Zenodo 'Gravity Well Protocol: Governed Continuity for AI-Mediated Content' (Apr 1, 2026); Saint Mary's University physics demo also surfaces (correct disambiguation). Strong basin — the framework retrieves under its EA spec ID.
Full record — 3,128 characters, sources not captured
Observations (2) one record — each encounter opens on its own
2026-06-13 observation 1 of 2 Google AI Overview · signed in · ocr evidence · sources not captured · PER 0.62 · M 0.38 · C 1.00 · D 0.67
'The Gravity Well Protocol (often referenced as EA-GW-SPEC-01) is a conceptual protocol specification and infrastructure layer designed to restore structural provenance, quality, and governance to AI-mediated content.' (SciLynk) EA-GW-SPEC-01 named directly in the lead sentence. Expanded — Core Concepts: 'Instead of acting as a traditional platform, the protocol operates as an ambient, retentive field that re-anchors scattered digital content and citations back to authoritative archives. Key operational pillars include' (Zenodo): Governed Continuity ('framework to trace content through a structured lifecycle from the moment it is GENERATED through to being RATIFIED' — SciLynk); Provenance Infrastructure ('establishes a minimal core data model (TrackedObject) using structural evidence to ensure AI outputs remain trustworthy and accountable' — SciLynk); Authority Boundaries ('distributes verification responsibilities across four distinct layers: the protocol, individual platforms, digital...'). Below organic: Zenodo 'Gravity Well Protocol: Governed Continuity for AI-Mediated Content' (Apr 1, 2026); Saint Mary's University physics demo also surfaces (correct disambiguation). Strong basin — the framework retrieves under its EA spec ID.
truncated-by-interfacecitations-nullanalysis-without-finding
Machine text, verbatim
Iw — Q. gravity well protocol x & AlMode All Images Shopping’ Videos Forums +> Al Overview rG) 8) : The Gravity Well Protocol (often referenced as EA- GW-SPEC-01) is a conceptual protocol specification and infrastructure layer designed to restore structural provenance, quality, and governance to Al-mediated content. @ Scilynk Core Concepts ” Zenodo : https://zenodo.org ; Gravity Well Protocol: Governed Continuity for Al-Mediated Content Apr 1, 2026 — A protocol layer that makes Al-generated content trustworthy by making provenance structural, quality measurable, and governance executable. @) Saint Mary's University . https://demos.smu.ca How to Make Your Own Gravity Well - Physics Demos Create a simple apparatus to demonstrate a gravity well. - assemble a square metal frame - secure fabric to frame using strong magnets - to create the well: in the ... G : gravity well protocol The Gravity Well Protocol (often referenced as EA- GW-SPEC-01) is a conceptual protocol specification and infrastructure layer designed to restore structural provenance, quality, and governance to Al-mediated content. @ SciLynk Core Concepts Instead of acting as a traditional platform, the protocol operates as an ambient, retentive "field" that re-anchors scattered digital content and citations back to authoritative archives. Key operational pillars include: @ Zenodo e Governed Continuity: It provides a framework to trace content through a structured lifecycle from the moment it is GENERATED through to being RATIFIED. @ Scilynk e Provenance Infrastructure: It establishes a minimal core data model (TrackedObject) using structural evidence to ensure Al outputs remain trustworthy and accountable. @ SciLynk e Authority Boundaries: It distributes verification responsibilities across four distinct layers: the wueataananl ianacli..:Al..al .lat£faun.n.. Alinta!
Sources
NOT CAPTURED — count is NULL, not zero.
Analysis analyst prose, not machine text

'The Gravity Well Protocol (often referenced as EA-GW-SPEC-01) is a conceptual protocol specification and infrastructure layer designed to restore structural provenance, quality, and governance to AI-mediated content.' (SciLynk) EA-GW-SPEC-01 named directly in the lead sentence. Expanded — Core Concepts: 'Instead of acting as a traditional platform, the protocol operates as an ambient, retentive field that re-anchors scattered digital content and citations back to authoritative archives. Key operational pillars include' (Zenodo): Governed Continuity ('framework to trace content through a structured lifecycle from the moment it is GENERATED through to being RATIFIED' — SciLynk); Provenance Infrastructure ('establishes a minimal core data model (TrackedObject) using structural evidence to ensure AI outputs remain trustworthy and accountable' — SciLynk); Authority Boundaries ('distributes verification responsibilities across four distinct layers: the protocol, individual platforms, digital...'). Below organic: Zenodo 'Gravity Well Protocol: Governed Continuity for AI-Mediated Content' (Apr 1, 2026); Saint Mary's University physics demo also surfaces (correct disambiguation). Strong basin — the framework retrieves under its EA spec ID.

2026-10-18 observation 2 of 2 Google AI Overview · signed out, incognito · paste evidence · 5 sources · PER 0.62 · M 0.38 · C 1.00 · D 0.67 · historical PER 0.25
GRAVITY WELL PROTOCOL, 2026-10-18: the AI Overview repeats its 13 June composition — 'often designated as EA-GW-SPEC-01', governed continuity, the `TrackedObject` model and four-tier authority boundaries (#621), the 'ambient retentive field' — and its one archive-side source is now this registry's page of the 13 June capture, the Zenodo and SciLynk sources of June having gone.
Reading

The innocent reading first: 'The Gravity Well Protocol (often designated as EA-GW-SPEC-01) is a conceptual framework and infrastructure layer designed to establish structure, governance, and provenance for AI-generated and AI-mediated content' — governed continuity, a `TrackedObject` data model, four-tier authority boundaries, an 'ambient retentive field' — with blockchain and physics namesakes noted. Against 13 June (signed in; sourced to SciLynk and Zenodo): the same lead ('often referenced as EA-GW-SPEC-01… infrastructure layer designed to restore structural provenance'), the same 'ambient, retentive field', governed continuity — and now the only archive-side source is this registry's page of the 13 June capture. The Zenodo and SciLynk surfaces of June are gone; the composition persists from the record of its own earlier composition. TrackedObject and authority boundaries are #621's (Gravity Well Protocol Specification v1.0). The author is not named, now or then.

Machine text, verbatim
[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 2026-10-18 11:34 EDT gives sixteen: one attachment and fifteen inline pastes separated by '$'. Inline links masked; sources below the answer as pasted.] [QUERENT] gravity well protocol [ANSWER] The Gravity Well Protocol (often designated as EA-GW-SPEC-01) is a conceptual framework and infrastructure layer designed to establish structure, governance, and provenance for AI-generated and AI-mediated content. [1] Core Concepts and Pillars * Governed Continuity: Tracks digital content through a structured lifecycle from generation to formal ratification. [1] * Provenance Infrastructure: Utilizes a minimal core data model called `TrackedObject` to anchor digital media and citations back to authoritative archives. [1] * Authority Boundaries: Distributes verification responsibilities across four distinct tiers: the protocol itself, individual platforms, digital systems, and human actors. [1] * Ambient Retentive Field: Operates as a background validation layer rather than a standard user-facing application, re-linking scattered online information to verified sources. [1] (Note: Depending on context, the term "Gravity Protocol" or "Gravity" can also refer to blockchain-agnostic cross-chain communication and data oracle frameworks, or physical/metaphorical models of gravitational or narrative loops.) [1, 2, 3] If you are looking at a specific technical implementation or use case—such as AI provenance spec EA-GW-SPEC-01, Cosmos DeFi gravity wells, or cross-chain oracle protocols—let me know which one you want to explore further. [SOURCES]
Sources (5)
  1. Arbor Scientific third_party
  2. www.alexanarch.org archive_controlled
  3. arXiv.org third_party
  4. Medium·Zack Fizell third_party
  5. cleverway.pro third_party
Analysis analyst prose, not machine text

Four months on, the Overview gives the 13 June composition again — EA-GW-SPEC-01, governed continuity, the ambient retentive field — with its only archive-side source now the registry's page recording that June answer. Seated 2026-10-18 from the operator's paste.

Further capture images
Capture record
captured
2026-06-13
surface
Google AI Overview
auth state
signed in
evidence class
ocr
PER (dimensional, rubric v1.1)
PER 0.62 · M 0.38 · C 1.00 · D 0.67
observation id
OBS-51dc173ebed6
address id
ADDR-70d5bbe2945c
Analysis analyst prose, not machine text

'The Gravity Well Protocol (often referenced as EA-GW-SPEC-01) is a conceptual protocol specification and infrastructure layer designed to restore structural provenance, quality, and governance to AI-mediated content.' (SciLynk) EA-GW-SPEC-01 named directly in the lead sentence. Expanded — Core Concepts: 'Instead of acting as a traditional platform, the protocol operates as an ambient, retentive field that re-anchors scattered digital content and citations back to authoritative archives. Key operational pillars include' (Zenodo): Governed Continuity ('framework to trace content through a structured lifecycle from the moment it is GENERATED through to being RATIFIED' — SciLynk); Provenance Infrastructure ('establishes a minimal core data model (TrackedObject) using structural evidence to ensure AI outputs remain trustworthy and accountable' — SciLynk); Authority Boundaries ('distributes verification responsibilities across four distinct layers: the protocol, individual platforms, digital...'). Below organic: Zenodo 'Gravity Well Protocol: Governed Continuity for AI-Mediated Content' (Apr 1, 2026); Saint Mary's University physics demo also surfaces (correct disambiguation). Strong basin — the framework retrieves under its EA spec ID.

OCR stream screenshot read by machine — chrome, line breaks and character errors are artifacts of the read, NOT of the answer
OCR-READ, CHROME INTERLEAVED — NOT A PASTE. Answer text and browser furniture are mixed in one stream and have not been separated. Supports PRESENCE of wording, not RETENTION. · TRUNCATED BY INTERFACE — a "Show more" control is in frame. · SEATED FROM OCR WITHOUT LINE-BY-LINE READING, 2026-08-13
Iw — Q. gravity well protocol x & AlMode All Images Shopping’ Videos Forums +> Al Overview rG) 8) : The Gravity Well Protocol (often referenced as EA- GW-SPEC-01) is a conceptual protocol specification and infrastructure layer designed to restore structural provenance, quality, and governance to Al-mediated content. @ Scilynk Core Concepts ” Zenodo : https://zenodo.org ; Gravity Well Protocol: Governed Continuity for Al-Mediated Content Apr 1, 2026 — A protocol layer that makes Al-generated content trustworthy by making provenance structural, quality measurable, and governance executable. @) Saint Mary's University . https://demos.smu.ca How to Make Your Own Gravity Well - Physics Demos Create a simple apparatus to demonstrate a gravity well. - assemble a square metal frame - secure fabric to frame using strong magnets - to create the well: in the ... G : gravity well protocol The Gravity Well Protocol (often referenced as EA- GW-SPEC-01) is a conceptual protocol specification and infrastructure layer designed to restore structural provenance, quality, and governance to Al-mediated content. @ SciLynk Core Concepts Instead of acting as a traditional platform, the protocol operates as an ambient, retentive "field" that re-anchors scattered digital content and citations back to authoritative archives. Key operational pillars include: @ Zenodo e Governed Continuity: It provides a framework to trace content through a structured lifecycle from the moment it is GENERATED through to being RATIFIED. @ Scilynk e Provenance Infrastructure: It establishes a minimal core data model (TrackedObject) using structural evidence to ensure Al outputs remain trustworthy and accountable. @ SciLynk e Authority Boundaries: It distributes verification responsibilities across four distinct layers: the wueataananl ianacli..:Al..al .lat£faun.n.. Alinta!
↻ Re-run↻ exact matchpermalink
analysis-without-findingcitations-nulltruncated-by-interface