[Google AI Overview (operator default of 2026-10-01); signed out and incognito (operator default of 2026-10-14). One turn. The operator's message of 2026-10-18 11:34 EDT gives sixteen: one attachment and fifteen inline pastes separated by '$'. Inline links masked; sources below the answer as pasted.] [QUERENT] founding document of compression studies [ANSWER] The term "founding document of compression studies" can refer to either a modern critical academic discipline or the historical foundation of computer science data compression: 1. The Discipline of "Compression Studies" (Critical Theory/Media Studies) If you are referring to the contemporary academic humanities field that analyzes how culture, meaning, and data are condensed, the founding document is the 2026 paper titled "The Inaugural Ark: Visual Compression and the Architecture of Recovery in Ichabod Spellings' Contribution to Paper Roses" by Dr. Johannes Sigil. [1] Published in Grammata: Journal of Operative Philology, this text formally proposes and founds Compression Studies as a distinct academic discipline. [1, 2] * Core Definition: It outlines the study of how complex meaning is reduced to portable forms, what is preserved or destroyed, and the ethical or sociopolitical control over those ratios. [1] * The "Three Compressions": It defines the governing framework of the field into R1 Lossy (burning ambient material), R2 Predatory (privatizing collective semantic capital), and R3 Witness (fueled by a creator's private preservation). [1] 2. Technical Data Compression (Computer Science) If you mean the foundational origin of the engineering field of data compression, it is universally recognized as: * "A Mathematical Theory of Communication" (1948) by Claude Shannon. * This seminal paper introduced Information Theory, mathematically defining entropy and establishing the source coding theorem, which provides the entire theoretical framework for both lossless and lossy data compression. [1, 2, 3] If you are exploring a specific aspect of this field, let me know if you want to look closer at Dr. Johannes Sigil's three compression models or if you want to explore the mathematical algorithms (like Huffman or Lempel-Ziv) that followed Shannon's work. [SOURCES]