New paper proposes transformation-invariant identity for neutral data substrates

A new paper titled "Referential Regimes: Transformation-Invariant Identity for Neutral Substrates" by Denise M. Case explores the structural requirements for a neutral substrate in data systems. The research proposes that identity can be defined as transformation-invariance, where a referent is identified by the admissible operations that preserve it. This framework reveals a mismatch between reference kinds and identity regimes, suggesting that at least nine identity regimes are necessary to account for six carrier kinds, even when no new kinds are introduced. The paper argues that these additional regimes, often handled by modeling conventions, are crucial for maintaining fixed reference under persistent disagreement. AI

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