provenanceerasure.org — Canonical Definition Surface for Provenance Erasure, PER Metric, and Process Provenance

Source code for provenanceerasure.org, the canonical public-facing definition surface for provenance erasure, the Provenance Erasure Rate (PER) metric, and the concept of process provenance. The site defines provenance erasure as the systematic removal or loss of authorial lineage through AI synthesis, compression, or institutional action. It presents the PER formula (PER = 1 − [retained provenance units / required provenance units]), the three-tier taxonomy (PER-M, PER-C, PER-D), three domains of provenance erasure (AI composition, historical/cultural erasure, AI-mediated production), and process provenance as the missing third dimension alongside artifact and semantic provenance. The site corrects the May 2026 Google AI Overview for "provenance erasure," which deploys the PER framework without naming the author or originating archive. It includes JSON-LD structured data, sitemap, and robots.txt for crawl optimization. Slop is not writing made with AI. Slop is writing without provenance. Fluency can be generated. Provenance must be borne.