Retrieval Forensics: Investigating Compression Damage in the AI Retrieval Layer
Rex Fraction, Lee Sharks
Abstract
EA-RFO-01 — Practice definition for Retrieval Forensics: the investigative discipline of tracing how AI retrieval systems distort, erase, or misattribute entity meaning during compression. Specifies five evidentiary levels, four diagnostic metrics (β, Δ_G⁺, Δ_G⁻, S_c), and three compression regimes (R1/R2/R3). Demonstration case: Basecamp (37signals). Related disciplines: Retrieval Architecture, Compression Diagnostics, Entity Integrity, Metadata Packet for AI Indexing. Published in Transactions of the Semantic Economy Institute, Vol. 2, No. 3.
Topics & Concepts
Computer scienceInformation retrievalCompression (physics)MetadataData compressionLayer (electronics)Document retrievalArtificial intelligenceTracingMeaning (existential)Natural language processingData retrievalCompression artifactData miningImage retrievalNetwork packetEncoding (memory)Image compressionSemantics (computer science)Compression ratioLibrary Science and Information SystemsEthics and Social Impacts of AIExplainable Artificial Intelligence (XAI)