SlopFilter: A Portable Epistemic-Hygiene Protocol for AI-Generated Content

SlopFilter asks whether a model-generated statement has earned the status its language gives it. A usable answer keeps five things visible: what is claimed, what supports it, where the support came from, what inferential step connects support to claim, and what may happen to the output next. If one of those elements cannot be recovered, the answer is revised, labeled as partial, parked, or rejected. Fluency is never promotion evidence. The public method is sufficiently specified for manual use. A current software implementation exists, but its operator vocabulary, scoring architecture, flag registry, schemas, calibrated weights, thresholds, and misuse controls are private technical material. This paper does not disclose or validate those internals.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-30
DOI
https://doi.org/10.5281/zenodo.23068589
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
preprint
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SlopFilter: A Portable Epistemic-Hygiene Protocol for AI-Generated Content

E. M. Honeycutt III
Zenodo (CERN European Organization for Nuclear Research)
Explainable Artificial Intelligence (XAI)
preprint

SlopFilter: A Portable Epistemic-Hygiene Protocol for AI-Generated Content

E. M. Honeycutt III
preprint en

Abstract

SlopFilter asks whether a model-generated statement has earned the status its language gives it. A usable answer keeps five things visible: what is claimed, what supports it, where the support came from, what inferential step connects support to claim, and what may happen to the output next. If one of those elements cannot be recovered, the answer is revised, labeled as partial, parked, or rejected. Fluency is never promotion evidence. The public method is sufficiently specified for manual use. A current software implementation exists, but its operator vocabulary, scoring architecture, flag registry, schemas, calibrated weights, thresholds, and misuse controls are private technical material. This paper does not disclose or validate those internals.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Explainable Artificial Intelligence (XAI)
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