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 "title": "Erasure Skew: A Measurement Program for the Power-Conditioning of Provenance Loss in Retrieval and Composition Systems",
 "creator": "Nobel Glas",
 "orcid": "0009-0000-1599-0703",
 "date": "2026-05-29",
 "description": "EA-GLAS-03 specifies Erasure Skew, Ω, as the association between source power and provenance retention. PER measures mean provenance loss; Ω asks whether retention rises with Retrieval Capital. Operationally, the default estimator is the regression slope of per-source retention on a declared power proxy, with permutation testing, degeneracy rules, source counts, and results reported both with and without the composing system’s self-framing.\n\nThe paper carefully distinguishes an estimator demonstration from field evidence. A seed-fixed synthetic test shows that two outputs can share the same PER while differing in Ω. The proposed “cheapest dangerous test” then pre-registers real-data questions: separability from PER, positive skew in multi-source composition, and ranking stability across independent scorers. It states explicit nulls, effect thresholds, and outcomes that would weaken or collapse the empirical claim.\n\nThe measure remains dependent on contestable steps: claim-to-source resolution, definition of required provenance, source aggregation, the RC proxy, and automated scoring. The paper says Ω detects orientation rather than motive or wrongdoing and that small-source outputs are undefined or high variance. No completed real-surface findings are reported here.",
 "content_type": "Empirical white paper / measurement specification",
 "license": "CC-BY-4.0",
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  "composition layer",
  "crimson hexagonal",
  "powerconditioning",
  "semantic economy",
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  "10.5281/zenodo.20271783",
  "10.5281/zenodo.20004379",
  "10.5281/zenodo.20290865"
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 "wiki_article": "**Erasure Skew** is a proposed provenance-fairness measure by Nobel Glas.\n\nWhere Provenance Erasure Rate measures how much attribution is lost, Erasure Skew measures whether the loss is associated with source power. It is estimated as the slope of per-source provenance retention on a declared power coordinate such as a Retrieval Capital proxy.\n\nA positive value means higher-power sources retain more attribution than lower-power sources. A value near zero means retention is not associated with power. The paper recommends permutation testing and reports the measure as undefined when there are too few sources or no variation in power.\n\nThe deposit demonstrates the estimator on synthetic data and pre-registers tests on real retrieval or summarization output. It does not report those field results and does not infer intent from a positive score.",
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