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VeilSight — Persistence-Gated Glyph Extraction
VeilSight is a research prototype for detecting persistent symbolic structures ("glyphs") that emerge from entropy-rich natural video (smoke, fire, water, clouds).
This repository does not provide trained models or datasets.
The system is evaluated via behavioral invariants rather than accuracy metrics, focusing on persistence-constrained structure detection.
Resources
- GitHub (code + technical appendix):
https://github.com/05221975/veilsight-persistence-glyphs
License
Evaluation and research use only.
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