Trailstate v0.2 — ASCII Face Routing Grammar: Browser-Native Replayable AI Provenance Routes
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2026
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| _version_ | 1866902027264589824 |
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| author | Eissens, Raynor |
| author_facet | Eissens, Raynor |
| contents | <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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20355071 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Trailstate v0.2 — ASCII Face Routing Grammar: Browser-Native Replayable AI Provenance Routes Eissens, Raynor Trailstate; ASCII Face Routing; AI provenance; replayable provenance; symbolic routing; AI observability; URL-native provenance; trailstate JSON; conflict-state bridging; machine-readable truth; GGTruth; browser-native provenance; cognitive route compression; AI trace visualization; semantic route glyphs <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> |
| title | Trailstate v0.2 — ASCII Face Routing Grammar: Browser-Native Replayable AI Provenance Routes |
| topic | Trailstate; ASCII Face Routing; AI provenance; replayable provenance; symbolic routing; AI observability; URL-native provenance; trailstate JSON; conflict-state bridging; machine-readable truth; GGTruth; browser-native provenance; cognitive route compression; AI trace visualization; semantic route glyphs |
| url | https://doi.org/10.5281/zenodo.20355071 |