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Temporal Curvature and Recursive Differentiation: A Formal Theory of Conscious Time

Sai H Saranu

Zenodo (CERN European Organization for Nuclear Research) March 3, 2026 DOI: 10.5281/zenodo.18851776 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Theoretical or philosophical paper Peer reviewed
Key points Proposes that consciousness arises from recursive self-referential processing and that the depth of this recursion determines the rate of subjective temporal experience. The framework derives a temporal dilation formula, a binding mechanism, and a four-stage model of anesthesia-related loss of awareness, and it offers twelve falsifiable predictions plus an experimental design intended to distinguish it from Integrated Information Theory.

Abstract

Time feels different depending on your mental state. It compresses when you're in the zone, stretches on psychedelics, and disappears completely under anesthesia. These distortions are well documented in neuroscience, but the major theories of consciousness don't generate quantitative predictions about them. This paper presents a formal framework that attempts to. It proposes that consciousness is tied to recursive self referential processing, and that the depth of that recursion at a given moment determines the rate of subjective temporal experience. The theory is built from four axioms and a single primitive operation, from which it derives a temporal dilation formula, a binding mechanism for unified conscious fields, and a four stage model of how awareness dissolves under anesthesia. The framework generates predicted time distortion factors for states of consciousness. The anesthesia predictions draw on published cortical connectivity data. The remaining predictions for psychedelics, meditation, flow, and near death states are based on estimated parameters that have not been directly measured yet, and the paper is transparent about that distinction. It includes twelve falsifiable predictions and proposes an experimental design in which this framework and Integrated Information Theory produce opposing outcomes, offering a concrete way to test both.