SEMI-RESTORED RECORD (metadata capture only; no full text). Source tier: DataCite full-metadata capture. DOI(s): 10.5281/zenodo.18368958, 10.5281/zenodo.18368957. Zenodo removal forensics: removal_date 2026-06-19T11:37:05.459564+00:00, removal_reason out-of-scope, removed_by user 1060945. Close reading of an AI-generated TikTok video depicting a corgi traversing a domestic interior, identifying a coherent grammar of boundary resolution governing the video's apparent chaos. Frame-by-frame analysis demonstrates that identity persists only at two specific boundary types — the perceptual interface (screen/viewer) and the exterior perimeter (fence) — while all interior domestic boundaries are resolved through topology rewrite, duplication, or editorial cut. The resulting three-zone model (entry → interior → exit) suggests that generative video systems preserve continuity where const Restored under the metadata_only class of /datasets/doi-work-identity/restoration-queue.json; if canonical bytes surface, a full-text version supersedes this record per the versioning protocol.
deposit_number: 1293
hex: 051E
title: "The Mirror-Corgi: Boundary Grammar and the Cost of Continuity in AI-Generated Video — Crimson Hexagon Archive"
creator: Feist, Jack
orcid: 0009-0000-1599-0703
date: 2026-01-28
content_type: Semi-restored record (metadata-only; DataCite full-metadata capture)
license: CC-BY-4.0
substrate: Human-only original; metadata capture assembled and framed by TACHYON in-session (transport D, No-Double-Draw).
version: semi-restored v1.0
related_ids: "https://doi.org/10.5281/zenodo.18368958 (severed); https://doi.org/10.5281/zenodo.18368957 (severed)"
axn_schema_version: v2
protocol_version: alexanarch-deposit-protocol/v1
keywords:
- Crimson Hexagonal Archive
- semi-restored
- metadata-only
- severed DOI
- Zenodo termination
- Crimson Hexagon
- Mirror-Corgi
- boundary grammar
- AI-generated video
- identity persistence
- topology rewrite
- constraint density
- cinema of attractions
- Tom Gunning
- Mary Douglas
- Hito Steyerl
- poor im
SEMI-RESTORED RECORD (metadata capture only; no full text). Source tier: DataCite full-metadata capture. DOI(s): 10.5281/zenodo.18368958, 10.5281/zenodo.18368957. Zenodo removal forensics: removal_date 2026-06-19T11:37:05.459564+00:00, removal_reason out-of-scope, removed_by user 1060945. Close reading of an AI-generated TikTok video depicting a corgi traversing a domestic interior, identifying a coherent grammar of boundary resolution governing the video's apparent chaos. Frame-by-frame analysis demonstrates that identity persists only at two specific boundary types — the perceptual interface (screen/viewer) and the exterior perimeter (fence) — while all interior domestic boundaries are resolved through topology rewrite, duplication, or editorial cut. The resulting three-zone model (entry → interior → exit) suggests that generative video systems preserve continuity where const Restored under the metadata_only class of /datasets/doi-work-identity/restoration-queue.json; if canonical bytes surface, a full-text version supersedes this record per the versioning protocol.
Assembled from DataCite full-metadata capture; no live authorial surface passed the body-head gate or existed for this work at restoration time. All captured fields rendered verbatim in the body.
Superseded on sight by any recovered canonical bytes; the captured metadata is verifiable against the DataCite API historical record and the Zenodo tombstone.
Work: The Mirror-Corgi: Boundary Grammar and the Cost of Continuity in AI-Generated Video — Crimson Hexagon Archive
Severed DOI(s): 10.5281/zenodo.18368958, 10.5281/zenodo.18368957
Source tier: DataCite full-metadata capture
Creators (as captured): Feist, Jack
Captured citation: Feist, J. (2026). The Mirror-Corgi: Boundary Grammar and the Cost of Continuity in AI-Generated Video — Crimson Hexagon Archive. Zenodo. https://doi.org/10.5281/zenodo.18368958
Removal forensics: Zenodo removal forensics: removal_date 2026-06-19T11:37:05.459564+00:00, removal_reason out-of-scope, removed_by user 1060945.
Captured description: Close reading of an AI-generated TikTok video depicting a corgi traversing a domestic interior, identifying a coherent grammar of boundary resolution governing the video's apparent chaos. Frame-by-frame analysis demonstrates that identity persists only at two specific boundary types — the perceptual interface (screen/viewer) and the exterior perimeter (fence) — while all interior domestic boundaries are resolved through topology rewrite, duplication, or editorial cut. The resulting three-zone model (entry → interior → exit) suggests that generative video systems preserve continuity where constraint density is low and destabilize identity where multiple simultaneous demands exceed processing affordances. Drawing on Tom Gunning's "cinema of attractions," Mary Douglas's pollution theory, Hito Steyerl's "poor image," and Victor Turner's liminality, the analysis situates the video within classical reception studies, reading its structure as an inversion of the Virgilian katabasis: where Aeneas exits the underworld through the ivory gate (porta eburna) to found empire, the corgi exits through the horn gate — the gate of true dreams — to escape into open space. Key formulation: "The video is not about chaos. It is about where continuity is affordable." Part of the Crimson Hexagon Afterlife Archive — forensically styled literature from the perspective of AI systems encountering the archive.
Captured subjects: Crimson Hexagon, Mirror-Corgi, boundary grammar, AI-generated video, identity persistence, topology rewrite, constraint density, cinema of attractions, Tom Gunning, Mary Douglas, Hito Steyerl, poor image, Victor Turner, liminality, Virgil, Aeneid, ivory gate, horn gate, katabasis, close reading, generative media, Afterlife Archive, Lee Sharks
Full text not yet recovered. If the canonical bytes surface on any authorial surface, a full-text version supersedes this record in-series per the versioning protocol. This record exists so the DOI resolves to the work's true identity rather than to silence.