Trailstate v0.2 — ASCII Face Routing Grammar: Browser-Native Replayable AI Provenance Routes
Year: 2026
Type: report
Abstract: 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. 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. 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.
Author: Eissens, Raynor
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W7162194703
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