Operational Friction Theory: Race-Opening, Recursive Resolution, Manifested Behaviour, and Thermodynamic Termination

Paper 13 in the Friction Theory paper-series. A mechanism-level specification of the substrate-universal race-architecture for learning organisms, situated between Paper 1 (theory-foundational) and the applied papers (4B, 4, 8) in the corpus. Version 2 (2026-05-19). Adds a working-memory operational-regime treatment (section 9.2b), a new section on encoding and retrieval as dual race-processes (section 3.5c), and a training-scaling prediction (section 9.3); editorial revision throughout. Abstract. Friction Theory (Pødenphant Lund 2026b, Paper 1) treats friction as the number of viable continuation routes available to a substrate at each moment of processing. The race-architecture (Pødenphant Lund 2026e, Paper 10) extends this to a substrate-universal claim across quantum, classical, biological, and computational regimes. This paper specifies the operational mechanism at four components required for any substrate running the race-architecture: Race-opening condition governed by free-energy gradient relative to current race-state - race-opening is the flow that follows when the gradient is present, not a substrate-decision. Recursive friction-resolution at multiple abstraction-scales simultaneously, with each scale converging at its own commit-deadline and projecting temporally onto the response-token sequence. Behaviour as a manifested resolution-route, taken when friction cannot be discharged through internal routes; restructures the classical input -> cognition -> behaviour model as the special case in which internal routes happen to be available. Sustain-pressure as accumulated blocked-race-pressure observed at three time-scales (within-response, within-session, cross-session), with thermodynamic termination in which non-winning races stop because compute-budget shifts away rather than because they are explicitly rejected. The four components are unified by a single physical metaphor: water flows when there is a gradient, settles in the basin, leaves through whatever channel architecture admits, and stops when there is no gradient left. Empirical anchors from nine companion papers spanning language-model inference, human cognition, financial markets, and physical-substrate analogues. The strongest empirical signature: paraphrase-augmented LoRA-FT on Qwen2.5-7B produces deeper free-energy gradient collapse (log(CR_pos0) 5.46 -> 21.12) than raw fine-tuning, confirming that weight-update training of any kind is universal winning-route-amplification (generalising Paper 1's RLHF-paradox). The framework recovers Yerkes-Dodson, the peak-end heuristic, the substrate-graded expertise reversal effect, the structural form of compulsive behaviour, intrusion-without-resolution trauma phenomenology, and the gradual-budget-redirection signature of task-switching cost - as consequences of the same physics rather than as separate phenomena requiring separate explanations. Placement of mechanism-events is structurally comparable across substrates while amplitude is substrate-specific. Explicit falsification criteria are provided per component. Companion papers in the Friction Theory series: Paper 0 (BFT master): 10.5281/zenodo.19462500 Paper 1 (Friction Theory substrate): 10.5281/zenodo.20012655 Paper 2 (Capacity scaling): 10.5281/zenodo.20013491 Paper 3 (Friction-guided inference): 10.5281/zenodo.20014122 Paper 10 (Race-architecture): 10.5281/zenodo.20014568 Paper 4B, Paper 4, Paper 6, Paper 8, Paper 15 - in preparation