On the Limits of Flow and Transport Metrics Under Admissibility
Boundary paper: establishes structural limits on what flow and transport metrics can claim under admissibility constraints.
A research laboratory defining the structural preconditions under which systems may continue.
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Compressed Consciousness studies intelligence and structure as a physically constrained process—where coherence, compression, and the thermodynamic costIn this framework, "thermodynamic cost" refers to the irreducible dissipation incurred when enforcing admissible structure under finite resolution. It is not a state variable, but an emergent, path-dependent consequence of constraint enforcement. of enforcing admissible structure define what can exist.
A formal doctrine of admissibility, enforcement, and coherent intelligence.
The canonical map of admissibility. What exists, where it lives, how to read it.
Stage taxonomy, terms of use, and scopes governing access to the Constraint Program.
This work establishes admissibility as a physical property of constrained systems, independent of intelligence, cognition, or implementation.
Boundary paper: establishes structural limits on what flow and transport metrics can claim under admissibility constraints.
Identifies the irreducible thermodynamic cost implicit in any finite-resolution constraint system.
Introduces admissibility as a third evaluative criterion governing stability, boundedness, and transport under constraint.
Argues that finite resolution implies a nonzero admissible bandwidth and formalizes δ as coherence thickness (embedding-dependent values omitted).
Isolates the geometric substrate of admissible manifolds and critical loci, independent of enforcement or resolution.
Introduces a minimal Hamiltonian framework as a generative lens for admissibility and bounded continuation.
Frames time as observer-dependent substrate. Invariant boundaries emerge through exclusion of inadmissible configurations, not prescriptive rules.
Downstream applications of admissibility to AI, institutions, markets, and infrastructure.
Doctrinal Position
This program:
Fast-follow empirical or algorithmic work may explore adjacent questions, but does not extend or redefine the doctrinal framework unless explicitly stated.
Domain-specific phenomena (e.g. thought, neural systems, markets) are treated as illustrative instances, not doctrinal definitions. Empirical instantiations are derivative and non-authoritative.