Saved in:
| Hovedforfatter: | |
|---|---|
| Format: | Recurso digital |
| Sprog: | engelsk |
| Udgivet: |
Zenodo
2026
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| Fag: | |
| Online adgang: | https://doi.org/10.5281/zenodo.20355071 |
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Indholdsfortegnelse:
- <p><strong>Abstract</strong></p> <p><br>Trailstate is a lightweight, browser-native grammar for replayable AI provenance. It represents the shape of an AI answer route — retrieval, source scouting, conflict detection, question formation, narrowing, validation, synthesis, memory ingest, object grounding, and archive — as compact symbolic trailstates.</p> <p>ASCII Face Routing encodes these states as short ASCII/emoticon operators such as o-www-o, ovvv-o, x-vvv-x, q-vvv-p, n-vvv-n, 0-vvv-0, p-vvv-q, o-mmm-o, and u-vvv-u. A trailstate can be stored as JSON, embedded in a URL, replayed by a browser-native player, and linked to canonical repair pages when conflict appears.</p> <p>The contribution is the specific synthesis of URL-native route objects, compact ASCII face operators, replayable AI provenance, human-readable conflict glyphs, and machine-readable canonical domain infrastructure.</p>