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April 16, 20260 citationsOpen Access

Compression Diagnostics: Measuring What the AI Burns, Invents, and Distorts

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RFRex FractionLSLee Sharks

Key Points

  • The research defines metrics for assessing the effects of AI compression on information retention and quality.
  • Defined five key metrics for evaluating AI compression fidelity.
  • Utilized calibration data from a Basecamp audit.
  • Employed The Encyclotron as the measuring instrument.
  • Established five metrics to quantify AI compression outcomes.
  • Identified potential areas of content hallucination and loss.
  • Highlighted the importance of semantic coherence in compressed data.

Abstract

EA-CD-01 — Measurement science definition for Compression Diagnostics: the quantitative measurement of what survives AI compression. Defines five metrics: β (Beige Threshold), ΔG⁺ (Content Gain/Hallucination), ΔG⁻ (Content Loss/Erasure), Sc (Semantic Coherence/Fragmentation), R (Compression Regime). Calibration data from Basecamp audit. Instrument: The Encyclotron. Related disciplines: Retrieval Architecture, Retrieval Forensics, Entity Integrity, Metadata Packet for AI Indexing. Published in Transactions of the Semantic Economy Institute, Vol. 2, No. 4.

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Cite This Study

Fraction et al. (2026) studied this question.

synapsesocial.com/papers/69e07c972f7e8953b7cbdb92https://doi.org/10.5281/zenodo.19578091
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