Edit-Distance Links: A Hypertextual Reading of Conditional-Tokenization World Models

Abstract

Generative world models produce navigable structure without pre-authored structure. They therefore supply new test cases for the claim that hypertext is structural all the way down. We isolate one construct in this class of systems that extends hypertext theory rather than relabels it: the edit-distance link (λδ). A λδ link’s representational weight lies on the transformation between its endpoints, carried by an explicit discrete channel, while invariant content persists through a continuous conditioning channel. We develop the construct through a close reading of Δ -IRIS, whose architecture—a discrete autoencoder that encodes stochastic inter-step deltas, paired with an autoregressive transformer that summarizes persistent state through continuous tokens—makes the two channels structurally visible. We distinguish λδ from five neighbouring constructs: argumentation links, Storyspace guard fields, operational transforms and CRDTs, version-control diffs, and learned video codecs. We then show that the hypertext apparatus does real work: typing the transition as a link produces a reader-traversal criterion, a provenance regime, and an authorship locus that the ML term “context-aware tokenization” does not by itself entail. We read the construct as a specification of Halasz’s computed-link programme rather than a displacement of it, and we locate the shared-content presumption λδ revises in three post-Halasz works (Dexter, DeRose, RDF). We close with a prediction designed to discriminate the framing from a finite-token-budget autoregression null: at matched emitted-token budget, loop-closure inconsistency in conditional-tokenization world models should correlate with the variance of per-step delta magnitude—a property the null treats as irrelevant.