Race All the Way Down, Race All the Way Up: A Unifying Vocabulary for Bounded-Commit Dynamics Across Quantum, Classical, Biological, and Computational Substrates

Pødenphant Lund, T. (2026e) · Preprint · Live on Zenodo

Seven phenomena spanning ~40 orders of magnitude in characteristic timescale (qubit decoherence (10−15s), Drude electron transport (10−14s), chemical kinetics (10−9s), stochastic resonance (10−3s), Margolus-Levitin, encoding-friction (103s), Yerkes-Dodson (103-5s)) are conjectured to be organisable under one race-structural vocabulary. The inverted-U is kernel-conditional: monotone-survival kernels yield a single peak, while non-monotone kernels yield bimodal or U-shaped profiles. The Schwinger-Keldysh formalism admits a race-axiomatisation under three assumptions; falsification criterion specified. The cross-substrate mapping is an open hypothesis under active investigation, not an established result.

DOI10.5281/zenodo.20014567
Target venueSynthese (primary) / European Journal for Philosophy of Science / Philosophy of Science
Statusv4.1 live on Zenodo; v4.2 in preparation; open research program
Length~18,500 words
AuthorTomas Pødenphant Lund [ORCID]

TL;DR

Scope note: Friction Theory (Paper 1) is established for biological, cognitive, and computational substrates. This paper investigates whether FT's mathematical scaffolding extends to physics-scope substrates (quantum measurement, classical mechanics, thermodynamics). This is open research, not established FT content; Papers 1–6 do not depend on its results.

"Decision" in resource-bounded probabilistic systems is treated not as a mental or agentive primitive but as a recurring structural phenomenon described in shared vocabulary: the resolution of competing processes racing toward commit under a finite-time budget. The central structural prediction is kernel-conditional: a system satisfying R1 (parallel candidates) + R2 (bounded resources) + R3 (irreversible commit) with a monotone-survival kernel exhibits a single-peaked inverted U on its evaluation-to-commit rate; non-monotone kernels can instead yield bimodal or U-shaped profiles (the Wallace counterexample, treated as a scope-condition rather than a refutation). In the monotone case: too low a rate yields no information processing; too high a rate yields noise-dominated commit; only the intermediate rate maximises information throughput.

Seven apparently independent physical and cognitive phenomena are conjectured to be organisable under this single race-structural vocabulary, spanning forty orders of magnitude in characteristic timescale:

  1. Qubit decoherence-window
  2. Ohm's law / Drude electron transport
  3. Chemistry / biochemistry molecular kinetics
  4. Stochastic resonance
  5. Margolus-Levitin energy-density trade-off
  6. Encoding-friction in learning
  7. Yerkes-Dodson arousal-performance curve
Phenomenon Timescale (s) Substrate Race variable Peak / optimum Above-optimum failure mode
Qubit decoherence-window10−15Quantum (superconducting / atomic)Phase-coherent commit rateCoherence-decoherence trade-offPremature einselection / noise commit
Drude electron transport (Ohm)10−14Solid-state conductorCarrier scattering rateMean free path / scattering balanceResistance-dominated regime
Molecular kinetics10−9Chemistry / biochemistryEncounter-to-reaction rateDiffusion-reaction balanceDiffusion-limited or runaway reaction
Stochastic resonance10−3Noisy nonlinear oscillatorNoise amplitudeSignal-noise constructive interferenceNoise washes out signal
Margolus-Levitin boundvaries (energy-set)Any computational substrateEnergy densityMax ops per jouleThermodynamic dissipation cap
Encoding-friction (learning)103Biological neural / artificial neuralEncoding rate per factTrace-cut depth optimumTrace collapse / overwriting
Yerkes-Dodson103-5Whole-organism behaviourArousal levelMid-arousal performance peakHypo- or hyperarousal degradation

"Race all the way down, race all the way up" is offered as a shared structural vocabulary across scales, not a claim that the substrates are identical: the same bounded-commit description recurs across different observables.

The paper then refines the three race-rules R1–R3 to a five-axiom formulation (A1–A5), and shows that the Schwinger-Keldysh formalism admits this race-axiomatisation under three assumptions: A1–A5 can be read onto the closed-time-path generating functional of a bipartite quantum system with einselected pointer basis and Markovian environment. Within the same formalism the following are exhibited as parameter-regimes:

...as parameter-regimes of one formalism. The CR-signal in large language models is treated separately as a substrate-mapping that provides empirical access to the race description, an empirical anchor rather than a regime of the formalism. The organisational point is that classical and quantum "decisions" can be described in the same bounded-commit vocabulary, not that they are metaphysically the same.

Substrate-agnostic clock-rate is bounded by Margolus-Levitin (maximum commit-rate) and commit-cost by Landauer (minimum energy per bit). Three hard problems (interference, linearity vs. nonlinearity, reversibility) are engaged honestly: the framework relocates rather than solves the measurement problem, from "why does superposition collapse?" to "why does race resolve?", the same problem in a new coordinate system, with potential tractability gains identified in §7.

The paper proposes no new physics; it presents existing mathematics (Martin-Siggia-Rose, Schwinger-Keldysh, Feynman-Vernon, Zurek einselection, Noether) organised under race as a lens, with concrete empirical anchor in LLM-substrate measurement and the kernel-conditional inverted-U pattern across seven substrate scales.

Falsification criterion: an identifiable system with R1+R2+R3 architecture and without an inverted U on its evaluation rate would falsify the structural core.

Candidate test systems for the falsification criterion Engineered race system evaluation rate → FPGA / ASIC drift-diffusion array Should show inverted-U. Counter-example candidate evaluation rate → Race-system with no inverted-U would falsify the framework. Non-race control evaluation rate → Strict-sequential deterministic system No race — outside the prediction's scope. Candidates: configurable spiking-neuron arrays; deterministic non-racing controllers; race-systems with infinite-resource (R2-violating) regimes.
Concrete falsification-test design. The prediction is that the middle panel (a verifiable R1+R2+R3 system without an inverted-U) cannot be constructed. Engineered race substrates (FPGA-based drift-diffusion arrays, configurable spiking-neuron chips) are the practical test substrate: they let R1+R2+R3 be enforced by construction and the inverted-U then read off the evaluation-rate vs. correctness curve.

Companion papers

Cite

Pødenphant Lund, T. (2026e). Race All the Way Down, Race All the Way Up: A Unifying Vocabulary for Bounded-Commit Dynamics Across Quantum, Classical, Biological, and Computational Substrates [Preprint]. Zenodo. https://doi.org/10.5281/zenodo.20014567