1. Conceptual Foundations
We propose a finite-resolution framework for defining local quantum subsystems in semiclassical gravity, organized around the Wheeler–DeWitt (WDW) constraint [
1]:
where the global state
is constrained rather than time-evolved and the operator
H encodes the gravitational constraints and diffeomorphism invariance. Physically, this implies that observables must be relational.
We adopt this framework in a weak sense to enforce background independence without requiring a global solution. Dynamics is treated as local statistical inference on causal diamonds
[
2], which serve as the fundamental units of accessible correlations [
3]. In the small-diamond regime, modular flow supplies the intrinsic local clock [
4,
5].
In this context, geometry does not evolve in external time but is inferred from entropic boundary correlations [
6,
7,
8,
9], a view recently advanced in [
10,
11,
12,
13]. This inference uses relative entropy as a local mismatch functional: on each diamond, it quantifies the distinguishability between the actual boundary-completed state and its geometric reference.
We begin by identifying the minimal architecture required for local, diffeomorphism-invariant physics. We identify the causal diamond (mandated by operational consistency) and treat its boundary as a finite-resolution register (boundary completion), which stores the minimal edge data needed to define a subregion algebra [
14]. We first establish that such a finite-capacity completion is a necessity for local subsystems. We then derive the specific topology of this hardware and the entropic cost of representing smooth continuum structure on discrete boundaries [
15,
16]. Finally, we show how this topology fixes a channel multiplicity
N (effective depth) [
17] and, upon calibration to Newton’s constant
G, a physical bandwidth
.
With
fixed, the theory becomes highly constrained: the same vacuum structure that yields semiclassical gravity also sets the scale of gauge/matter response, so disparate observables across the hierarchy become linked rather than independently adjustable (since we fixed both the stiffness normalization and the physical cutoff controlling the EFT coefficients [
18,
19]), as illustrated in
Appendix A,
Appendix B,
Appendix C and
Appendix D.
We formalize the minimal architecture as an axiomatic basis in the next section.
1.1. Axiomatic Basis: Minimal Architecture
We are not starting from a preferred lattice or field content; instead, we approach quantum gravity as a problem of local inference. We adopt the following minimal ingredients to define subsystems, clocks and regulated observables without having to assume a background structure:
Principle A: Operational Regions
Locality is defined operationally by the minimal covariant unit: a finite causal diamond [
2]. This geometry uniquely fixes the boundary interface where subsystem-defining information resides [
14].
P1 (Non-factorization): In gravity, the diffeomorphism-invariant physical Hilbert space cannot factorize across spatial subregions,
[
14]. In gravity, constraints prevent naive factorization; explicit boundary data are therefore required to strictly define the very notion of interiority and a unique subregion algebra [Forced].
P2 (Causal Diamonds): A finite experiment is a closed send–return loop between events
p (prepare/send) and
q (receive/read out), with
. The minimal covariant operational region is the causal diamond
[
2]. Because
is defined purely by causal relations, it fixes the subsystem region without choosing a foliation [Forced]. For minimality we restrict to the simply connected local closure: the maximal spatial slice is a 3-ball
with boundary cut
; nontrivial topology would introduce extra discrete labels and is excluded by the minimal-architecture premise [Closure].
P3 (Boundary Completion): Since the physical Hilbert space does not factorize across regions (P1), a well-defined subregion algebra
requires boundary completion. We implement this algebraically by adjoining edge observables that generate a nontrivial center
, encoding the gluing or charge data. Equivalently represented by an extended Hilbert space with edge modes, this center ensures that restriction and gluing operations are well-defined: compatible reduced descriptions are enforced by matching
on intersections [
14,
20] [Forced].
Principle C: Topological Quantization and Minimal Transport
Consistency forces boundary charge sectors to be topologically quantized rather than continuously tunable [
24]. Minimal isotropic routing then fixes the transport rule [
25], with smooth forces emerging as the effective continuum description.
P6 (Gauge Topology): We model boundary charge sectors by a bulk Chern–Simons theory whose boundary reduction is a WZW current algebra [
24,
26]. On a bounded region, Gauss-law constraints generate edge currents as the gauge-invariant completion of the subregion algebra [
14]. The associated level
quantizes these currents, replacing continuous field normalization with a discrete integer. This sets the fundamental stiffness unit that determines the matching-scale inverse coupling
in linear response [Closure].
P7 (Network Architecture): Minimal local screen architecture in 3D is constrained by two requirements:
Routing: A local transport layer must exist and be isotropic in three spatial dimensions, with inversion symmetry (no built-in handedness) [Forced]. We realize this with the minimal inversion-symmetric spanning set
, representing three independent antipodal pairs, fixing minimal coordination
and an octahedral (
) routing rule [Closure]. This establishes three independent spatial transport axes, over which isotropic accessibility counts sum linearly [Closure]. Routing is implemented in local orthonormal frames, as a global smooth tangent frame on
is obstructed (Hairy Ball Theorem) [Forced]. Similar discrete-isotropy constructions define relativistic dynamics in QCA frameworks [
25,
27,
28].
Payload: To admit local spinorial payloads (matter), the boundary algebra must lift local rotations from
to its universal cover
to admit projective representations [Forced]. The spinor lift selects
as the minimal rotation payload; since
is diffeomorphic to
, an
factor is the natural compact building block. We implement this minimal topological extension as a
Ising-type twist sector, contributing a quantum dimension
[
29], imposing a topological entropy of
(the half-bit cost of the spinor lift) [Closure].
Corollary (Port Symmetry ): The signed-axis routing implies a port redundancy of order , corresponding to independent sign configurations of the three transport axes. In regimes where only commuting phases remain stable (cannot resolve curvature), these sign labels act as redundant port labels, so phase volumes are quotiented by [Closure].
Corollary (Tip Anomaly ): Near the tips of the causal diamond, the screen cross-section becomes sub-resolution (P5), forcing a geometric mismatch between smooth modular flow and discrete routing [Forced]. We parameterize this irreducible overhead by a dimensionless scalar [Closure].
Corollary (Spectral Pixel): Axioms P6 and P7 specify a single unit: at finite resolution, a pixel is characterized by coupled spectral data
. The local gauge algebra
(P6) acts on the payload space
(P7) through the transport
D, making gauge and matter operationally inseparable. The entropic Hessian probes orthogonal pixel deformations (
Section 2) [Closure].
1.2. Screen Architecture, Resolution and Connectivity
Given Axioms P1–P7, this section defines the screen resolution scale and the effective capacity.
Location and Operational Definition
In quantum gravity, a local subsystem is not automatically defined, because the physical Hilbert space does not factorize across regions (P1) [
14,
30]. To define a consistent subregion algebra, we require boundary completion (P3) via edge modes [
14,
20] (independent of AdS/CFT). Therefore, the screen is not optional in our context; it is in fact the minimal structure required to define the very notion of interiority (interior subregion algebra). The screen is not a passive skin but an active register that must distinguish and update states when excitations cross the diamond boundary; we treat these crossings as discrete update events (null arrivals) along the null generators.
A query–response loop between two events
p and
q defines the causal diamond
(P2), which is bounded by a null surface (lightlike boundary) [
2]. The screen is the boundary completion on the causal diamond bifurcation surface (maximal-area waist), topologically
, defined covariantly for each operational window rather than as a fixed background surface. The screen is not a fixed object in the vacuum, but a relational boundary. Its stability across experiments arises from the consistency of overlapping diamonds.
Flux Convention
The screen interface is the waist defined by diamond topology (Axiom P2). When we translate a screen response coefficient into standard gauge parameters , we apply the usual flux normalization associated with unit-sphere interface.
Finite Resolution and Hardware Scales
Locality requires finite boundary capacity (P5). Because continuum QFT has divergent subregion entanglement and edge-mode contributions, the screen requires a regulator that makes microstates differing only below
indistinguishable to its algebra [
21,
31].
We implement this via a stretched-horizon regulator at proper distance
from the waist [
32], defining the coherency scale:
In the wedge limit, the vacuum state is KMS with respect to the boost generator (Bisognano–Wichmann) [
4]. At the regulator boundary, proper time
t relates to this dimensionless modular parameter
via the redshift factor
[
5]. Identifying the minimum resolvable proper time with the hardware scale (
) naturally forces the modular cutoff to unity (resolved modular update):
Finite bandwidth implies aliasing: any continuum field description below
is a reconstruction, not additional physical distinguishability. This resolution limit means the continuous
waist acts operationally as a finite set of distinguishable addresses (pixels) [
15].
Capacity Decomposition
This cutoff forces a physical distinction between breadth and depth. We define:
Address: One distinguishable spatial location on the boundary at resolution .
Breadth (): The number of addresses on a waist of area A, given by . This scales with geometry.
Depth (N): The effective multiplicity of independent response sectors per address. This is defined by exponentiating the additive entropy budget of the boundary completion () (not a literal integer Hilbert dimension).
Intuitively, N counts the effective number of distinct internal states (spin, charge, edge modes) available at a specific address. The twist (P7) supplies structural overhead rather than an independent channel. We therefore count addressable payload depth as .
Physically, these channels act as parallel structural elements. Gravitational stiffness is extensive: like strands in a cable, many channels in parallel renormalize the aggregate response (scaling with total channel count), distinguishing the macroscopic Planck stiffness from the intensive single-channel bandwidth (
) [
17,
18].
Assuming uniform bandwidth across payload channels, the per-update energy granularity is given as , an intensive energy unit for single-pixel saturation.
Connectivity and Routing
To enable 3D transport, the architecture requires a transport topology (router). Following Axiom P7, minimal isotropic routing in three spatial dimensions is generated by the signed basis , closed under inversion and permutation, implying coordination . This is the simplest connectivity required to treat all three spatial dimensions symmetrically. Connectivity decomposes into lateral adjacency on the screen and transverse coupling to the bulk.
This discrete structure induces a geometric conflict: the router defines a step-counting metric with an -type unit ball (octahedral neighborhood), whereas the continuum isotropic limit corresponds to an ball (sphere).
Intuitively, the bulk geometry implies spherical () symmetry, while the discrete register enforces octahedral () routing. This mismatch imposes an unavoidable digitization cost. Routing is implemented in local orthonormal frames, as a global smooth tangent frame on is topologically obstructed.
The choice of coordination (Axiom P7) is dictated by transport minimality. A tetrahedral lattice () lacks the antipodal symmetry required to support parity-symmetric derivatives (Dirac propagation). Conversely, higher coordinations () introduce spectral redundancies that shift the effective response coefficients, requiring additional ad-hoc projections to recover standard limits.
This mismatch is negligible at scales
(away from the tips) but becomes significant when the transverse size approaches the resolution scale, necessitating a tip anomaly correction [
33].
Implication for Dynamics
With the architecture (
,
, routing) fixed, the variational problem is well-posed: we must find the geometric reference
that is statistically indistinguishable from the fixed boundary data
on the local algebra. We require a functional that (i) vanishes if the reference matches the data and (ii) is monotonic under restriction to ensure compatible descriptions on diamond overlaps (Axiom P3). The canonical measure satisfying these requirements is the relative entropy
[
10,
34], which we identify as the coherency action in
Section 2.
Because the reference family lives on this fixed algebra and regulator, the channel capacity
N is not a tunable parameter but is strictly determined by the screen topology (calculated next). Furthermore, the presence of the fixed boundary regulator allows the local response to be organized into a controlled small-perturbation expansion (via the heat-kernel spectral method [
35]), naturally bridging the gap between information geometry and effective field theory.
1.3. Topological Budget: Deriving the Channel Multiplicity N
With the screen architecture set, we determine the depth N by summing the additive capacity costs implied by the minimal construction (P2–P5, P7). We distinguish three independent contributions (assuming minimality): the bulk surface topology (), the discretization overhead at the diamond tips and the payload twist sector.
Capacity costs are additive (entropy
S), while state counts are multiplicative. We map the total vacuum entropy budget to the channel multiplicity
N via integral geometry and information theory:
This is the standard translation from additive log-capacity bookkeeping to multiplicative state-space size. Since N represents an effective capacity rather than a literal integer eigenvalue, non-integer values are physically admissible.
Bulk Topology ()
The minimal boundary-completion log-capacity is an additive, diffeomorphism-invariant, scale-free functional of the cut
(P2) [
36]. In two dimensions, the canonical minimal choice is the Euler characteristic density (Gauss-Bonnet [
37]). Fixing the normalization to minimal unit weight:
This value is fixed topologically by
via Gauss–Bonnet [
37] and is metric independent.
Tip Anomaly ()
The tips
are geometric bottlenecks where null generators meet and the transverse cross-section approaches the resolution scale
(P5). When the cross-section is sub-resolution, transport is implemented by the discrete router (P7), so each modular cycle necessarily includes a finite number of routing junction events (discrete routing decisions) at the tips. We define the dimensionless tip overhead
as the normalized count of these unavoidable junction events per modular cycle (impedance overhead). Representing smooth
-isotropic modular flow by an
step-routing primitive then incurs an irreducible mismatch cost [
4,
34].
In the local KMS regime the modular flow has period
(P4), and minimal 3D isotropy partitions transport into three independent antipodal axes
(P7). Normalizing one unavoidable junction event per axis per modular cycle fixes:
The tip overhead enters additively as a bookkeeping cost for maintaining smooth modular ordering across a discrete junction; it is not a reduction of the channel count.
Twist Contribution ()
The payload closure (P7) necessitates a spinor lift (local
extension) to admit spinorial boundary representations. We model this minimal closure as a
twist sector with quantum dimension
[
29]. The additive overhead in the entropy budget (cost of the spinor lift) is:
This can be seen as a half-bit cost determined by the quantum dimension. Sensitivity scales as , hence . Larger non-Abelian sectors are excluded as they exceed the minimal lift required by the payload premise.
Resulting Channel Multiplicity (N)
Summing bulk, tip and twist contributions yields the total vacuum entropy:
Exponentiating this sum determines the topology-locked channel multiplicity per address:
Thus N quantifies the effective depth per address implied by the minimal screen topology, tip overhead and spinor-lift sector. These degrees of freedom are localized to the boundary completion and need not introduce additional light propagating fields in the infrared.
Defect Proxy ()
We also define an aggregate routing overhead per address,
. Given coordination
, the total defect budget per node is:
We use strictly as a compact proxy for persistent per-address routing overhead; it is not, by itself, a standalone cosmological identification.
Architectural Lock and Audit: We verify the structural rigidity of the parameters.
is the minimal additive valuation on the closed waist
; a
choice is excluded by gluing requirements (Axioms P2–P3). Similarly,
is fixed by the
modular cycle and three transport axes. This constant simultaneously sets the stiffness participation
(
Section 1) and the leakage normalization in the GKSL/Lindblad dynamics [
38,
39,
40] (
Section 2). Varying it would decouple these physical effects, turning a single hardware constant into two distinct knobs (
vs.
). As a geometric consistency check, the operational value matches the normalized Regge deficit
[
33], confirming that the discrete routing correctly approximates the curvature bottleneck.
With the hardware capacity N fixed by the minimal architecture, the remaining step is to calibrate the energy scale against Newton’s constant.
1.4. Constitutive Relation and Calibration
We now link the discrete channel structure to the macroscopic stiffness of spacetime. We use the reduced Planck mass throughout.
Constitutive Stiffness Relation
In the Einstein–Hilbert action [
41], the coefficient of curvature is the inverse gravitational constant. In the linear-response regime, the stiffness of the boundary scales with the number of effective channels [
17,
18]. Dimensional analysis at bandwidth
implies a single-channel coefficient
. Summing over
channels yields:
The factor
represents the coupling efficiency over the modular cycle, limited by sub-resolution routing at the tips; it is fixed by the router normalization (not tuned to match
G). This allows us to recover the Einstein–Hilbert stiffness by summing over finite channels, rather than discretizing a manifold or quantizing the graviton. This spectral reconstruction of the action shares a conceptual lineage with the spectral action principle [
42] and mirrors the species-bound logic, where gravitational strength is diluted by the number of active degrees of freedom [
17].
Section 2 will derive this structure from the Hessian of relative-entropic action principle.
Numerical Calibration
We calibrate the single-channel bandwidth
by matching this constitutive relation to the measured Newton constant
G. We first work with the reduced Planck mass to match the standard normalization of the Einstein-Hilbert action:
Substituting the constitutive law
and solving for the hardware scale yields:
is the single-channel bandwidth (UV cutoff) implied by the physical resolution .
This scale
represents the physical bandwidth limit of the algebra. This derived scale aligns with intermediate scales often invoked in neutrino seesaw models [
43] and plateau inflation [
44], fixing the vacuum cutoff near the onset of these sectors.
Scale Inversion ( vs )
The constitutive law implies the relation between the derived Planck length
and the physical hardware resolution
:
In this framework is the physical resolution scale, while is the effective stiffness scale implied by parallelization. Coarsening the vacuum geometry to the finite scale removes the need to take as a physical resolution scale without sacrificing the macroscopic rigidity required by GR.
Consistency Check: Area Law
We verify that this calibration preserves the Bekenstein–Hawking entropy structure [
45,
46]. For a horizon of area
A, the standard entropy (in natural units) is
. Substituting
:
where
represents the number of surface pixels; the entropy factors as surface addresses × effective depth. Converting to bits (
) and taking
gives
bits.
This consistency check is non-trivial. Although the result follows algebraically from the constitutive lock , it carries a distinct physical implication: the standard horizon entropy is realized as surface addresses () times effective depth (). The required information density is achieved via channel multiplicity, rather than by shrinking the physical pixel size to . This recovers the Bekenstein–Hawking scaling using the finite hardware resolution , without requiring the surface resolution itself to be .
Separation of Scales
This calibration links the macroscopic rigidity scale
to the resolution scale
through the derived depth
N. With
fixed, we define a per-address energy budget:
where the
factor treats the twist sector as structural overhead rather than data-carrying payload, so
counts addressable payload channels.
With the vacuum sector locked, we confront these inputs with observations. We test
N and
against cosmological boundary conditions (
Appendix A) and electroweak saturation scales (
Appendix B). Using the same hardware parameters, we derive gauge couplings via intensive susceptibilities (
Appendix C) and anchor lepton generations via topological accessibility (
Appendix D). Throughout,
N controls the extensive enhancement of gravitational stiffness, while
sets the intensive bandwidth (matching scale) governing gauge and mass response of the boundary algebra.
1.5. Emergent Time
In a Wheeler–DeWitt setting (
), time is a relational label obtained by conditioning on an internal clock (Page–Wootters) [
3]. For a partition
, the conditional state is
. In the small-diamond regime, modular flow supplies a canonical local ordering of correlations (P4) [
4,
5]. We take the modular parameter
as the intrinsic ordering variable (local clock). Proper time
t is then an emergent coarse-grained reparameterization, valid when many modular updates are aggregated (with
at the cutoff surface).
This aligns with the modular viewpoint emphasised in noncommutative geometry, where the modular automorphism group plays the role of intrinsic evolution on an algebra [
47]. Semiclassical Wheeler–DeWitt solutions admit a WKB form
. In the regime where modular flow is geometric, the phase functional
motivates the relative-entropic coherency principle.
The key point is that the time reference is strictly local to the chosen diamond. In the screen picture, modular time is the ordering of distinguishable boundary updates (a finite information resource). Although updates are discrete at resolution , coarse-graining over the deep channel bundle yields an effectively continuous time parameter at observational scales.
With the hardware configuration
fixed, these become locked inputs for the dynamical response analysis in
Section 2.
2. Coherency Action and Dynamics
With the screen architecture established in
Section 1, we turn to dynamics, viewing it not as the time-evolution of a global state
, but as the emergence of effective laws governing accessible correlations on a causal diamond [
7,
9,
16]. We treat dynamics as an inference problem [
48]: the reduced boundary state
is the primary data; spacetime geometry enters as the optimal reference description of that information. This perspective aligns with the thermodynamic paradigm of gravity [
6,
8] and recent developments in modified entropic cosmology [
10,
11,
12,
13,
49]. For fixed boundary data
on a finite-resolution screen [
28], we vary a semiclassical reference family
and select the model that minimizes relative entropy [
34,
49,
50].
Much like hydrodynamics organizes microscopic dynamics into constitutive laws, the coherency framework packages quantum corrections into effective response coefficients at the matching scale
, reinterpreting them as the response of the observation layer (the lens) rather than the object [
6].
Geometry is treated not as a fundamental field to quantize, but as the most economical description of boundary correlations. Because the algebra and resolution scale
are fixed, the variational space is locked and the response is constrained. Einstein gravity appears as a natural stiffness sector [
6,
51], while gauge forces and particle masses arise as intrinsic susceptibilities of the pixel algebra. The same physical scale sets the matching point for these couplings and the onset of saturation, linking the effective dynamics across sectors within a single boundary description [
18,
42,
52].
2.1. Entropic Variational Principle
The action of the system is the informational cost of representing the boundary state. We define the coherency action as the relative entropy between the fixed physical state
and the geometric reference family
[
34]:
We define the reference family
as the manifold of maximum-entropy states on the fixed boundary-completed algebra
:
Here is a modular generator parameterized by local background fields coupled to the operators.
Relative entropy is a cost functional. In the KMS setting it functions as a modular free energy (
) and ensures overlap consistency via monotonicity; this is the Araki relative entropy of the boundary von Neumann algebra [
34,
50,
53,
54].
Imposing stationarity, the physical configuration minimizes the divergence between the reference model and the boundary correlations. Since the vacuum
is a modular equilibrium state (P4), the first law of entanglement
ensures that first-order variations vanish (
); excitations and restoring forces are therefore controlled by second-order variations (Hessian). Technically, this corresponds to a weak Wheeler–DeWitt stance [
1]: the constraint generates local relational dynamics on finite operational windows [
3].
The variational problem is locked by the axioms: the region
O, the boundary-completed algebra
[
14] and the physical cutoff
(with
) are fixed, while
is determined by the global constraint. Only the reference generator
is varied within the maximum-entropy family [
34,
48,
50]. In contrast to formulations that rely on auxiliary multipliers to enforce consistency, we embed these constraints directly into the hardware. Since the vacuum represents an equilibrium state, first-order variations vanish by stationarity. In the continuum limit, the aggregate entropic cost recovers the familiar Lagrangian density [
35,
41]:
Remark on variational domain: We vary g at fixed container where: (i) for each g, the reference state (KMS/modular regime) is defined on the same boundary-completed algebra , so deforms the modular Hamiltonian and its correlators without altering the underlying degrees of freedom; (ii) the diamond structure is fixed relationally by invariant events rather than coordinate choice; and (iii) admissible variations are restricted to those that preserve the regulator placement at fixed proper distance from the bifurcation surface.
Geometric Hessian and Kubo–Mori Response
We extract the effective laws of the screen from the second variation (Hessian) of the coherency action on the fixed cutoff algebra . We organize deformations into three sectors: external metric deformations probing (stiffness/gravity), internal phase deformations probing (susceptibility/gauge), and scalar occupancy deformations probing (mass gap).
In the modular KMS vacuum
, first-order variations vanish at the locally optimal reference
. For an exponential reference family
, the Hessian of relative entropy equals the Kubo–Mori (quantum Fisher) metric [
22,
34,
55]:
Deformations couple through
, and the response kernel is the connected Kubo–Mori correlator:
Because
is a two-point kernel, scale separation
implies quasi-locality and admits a local derivative expansion [
35,
41,
52]. In a Lorentz-invariant, charge-neutral vacuum, symmetry and Ward identities suppress mixing between operators of different spin/charge at leading derivative order, so the Hessian is block-diagonal.
Physical content of the Hessian
In the KMS regime, the Hessian is a positive response kernel: its principal deformation directions (eigenmodes) measure the associated stiffness scales (inverse susceptibilities). In the quasi-local derivative expansion, the low-momentum stiffnesses fix the effective parameters: in the tensor block, in the vector block and mass-gap scales in the scalar block. Positivity guarantees stability in every physical direction; null directions, when present, encode redundancies/constraints.
We apply this Hessian framework to the tensor, vector and scalar sectors in the following sections.
2.2. Spectral Expansion and EFT Coefficients
We use the spectral trace [
52,
55] as a compact way to write the near-equilibrium coherency cost, not as an extra postulate. In the small-diamond KMS/modular regime, the first law of entanglement
implies stationarity at the vacuum equilibrium, so the leading nontrivial term in
is its quadratic response: the Hessian (second functional derivative) of relative entropy. Schematically, this is given by the Kubo–Mori (quantum Fisher) form [
22,
34]:
where
collects the geometric/gauge/matter sources entering
. With
, the Kubo–Mori kernel
is quasi-local, so this quadratic form reduces to a local derivative expansion in curvature and field strengths with coefficients set at the fixed bandwidth
. We encode that same expansion with a Laplace/Dirac-type operator
on the fixed boundary-completed structure, so that the heat-kernel coefficients of
match the local EFT series implied by the Kubo–Mori response.
To implement this encoding, we define a spectral trace using a positive operator
that packages the relevant geometric and gauge data and a smooth spectral window function
f that suppresses modes above
[
42,
52,
56]:
For smooth
f, standard heat-kernel asymptotics apply [
35,
47,
52,
57]. The trace also serves as a mode-counting tool for the resolvable degrees of freedom on the internal manifold via integrated spectral density. Viewing
f as a superposition of heat kernels via the Laplace transform:
The short-time asymptotics of
then yield the familiar local EFT series:
Locality and symmetry fix the operator basis (
). The non-universal content resides in the coefficients
, which depend on the detailed spectral data
and on the moments of the cutoff window
f. Edge completion and finite resolution contribute additional boundary terms to these coefficients [
35,
57].
Gravity represents the aggregate stiffness of the entire channel bundle (sum of the tension of parallel strands); it is extensive, receiving a channel enhancement . Conversely, gauge and matter terms are intensive: they encode phase/occupancy susceptibilities of the pixel algebra.
In the small-diamond/KMS regime,
is KMS with respect to the modular flow generated by
, so imaginary modular time is periodic with period
and supplies a thermal circle
[
4,
54]. Axiom P2 identifies the spatial part as two
halves glued across the waist,
. The corresponding minimal compact manifold for the spectral/heat-kernel trace is therefore
[
35]. Since the screen is a glued interface (P3) and transport is discrete (P7), the heat-kernel coefficients include interface and defect terms, in addition to the smooth bulk invariants. With a physical cutoff
(P5) and a fixed algebra (P3), this series is a controlled expansion rather than a removable regulator artifact [
18].
Quasi-locality at implies that, for fixed-amplitude fields on an operational domain , the integrated cost factorizes into a geometric volume times an intensive coupling. The total capacity of the boundary-completed algebra , when traced over the modular history , is the physical source of the integrated 4-volume of the operational domain.
In this view, spacetime volume counts resolved boundary updates. For a gauge sector, this implies:
The Einstein coefficient is extensive (enhanced by the aggregate spectral trace of the channel bundle), while gauge and mass parameters are intensive response properties defined at the matching scale . This correspondence explains why the 4D volume observed in GR is simply the integrated update count of a 2D boundary register. This factorization into volume times intensive coupling underlies the gauge and mass sector cost estimates derived in the following sections.
2.3. Tensor Sector: Gravity as Extensive Stiffness
This section identifies the leading low-momentum stiffness of the tensor block and matches it to the Einstein coefficient
. In the low-curvature regime
, the reaction of the screen to small deformations is governed by linear response [
6]. In the local Rindler limit, the modular Hamiltonian is generated by the local boost vector field
(Bisognano–Wichmann/Unruh) and admits a natural decomposition into bulk and boundary contributions [
4]:
Physically,
represents the diffeomorphism-invariant completion required by the boundary conditions (P1–P3) [
14]. In the semiclassical regime, the variation of this edge term reproduces the geometric entropy functional of the cut (area/Wald-type) [
21,
45]. This identification is controlled by scale separation
with
; thus
is effectively local in the EFT regime.
Considering perturbations about the vacuum in the local Rindler regime, we use the established result that imposing the entanglement first law,
, together with a geometric entropy functional, yields the Einstein equation at leading order [
6,
8,
51,
58]. As the first-law constraint cancels all linear variations at equilibrium, the leading dynamics are governed by the quadratic (Hessian) response around the vacuum. We apply this logic on the fixed cutoff algebra
.
Because the boundary entropy is strictly geometric in our construction (
) [
2], thermodynamic consistency of the modular vacuum implies that the low-curvature response lies in the Einstein universality class. Identifying gravity as the aggregate rigidity of these
parallel channels yields the constitutive relation [
9,
17]:
This corresponds to the extensive coefficient of the tensor sector: couples to , and diffeomorphism invariance selects R, with .
In the validity regime
, the resulting effective field equations take the standard form:
The remainder collects higher-derivative stiffness corrections (such as the sector), fixed by the same physical resolution scale.
2.4. Vector Sector: Gauge as Intrinsic Susceptibility
The vector response is controlled by the intensive spectral coefficient
, which defines the matching-scale coupling used in
Appendix C.
Gauge Susceptibility
Because the leading response is quadratic (governed by the Kubo–Mori kernel [
22]), we model perturbation as a weak background connection
coupling to the conserved edge current
required by the CS/WZW structure [
20,
59] (P6) through the modular generator
The corresponding quadratic coherency cost is then
where
is the Kubo–Mori kernel of the KMS vacuum (P4) on the fixed cutoff algebra
(P3). Ward identities enforce gauge invariance, so the leading local operator extracted from this response is
. The matching-scale coupling
is read off as the coefficient of the canonical term
in the quasi-local derivative expansion of
. This identifies the vector-block stiffness with
(or
), quantized by integer level
k.
This quadratic response defines the entropic susceptibility
[
22,
34,
55]. Finite capacity fixes the resolved modular interval
(P5). In the modular/KMS regime, the edge-current correlator on the modular circle takes the universal form
(standard cylinder normalization) [
4,
59]. Integrating the geometric kernel
over the resolved history
yields the hardware-determined susceptibility factor:
Finite resolution fixes
(
Section 1), so this factor is hardware-determined (
), not tuned.
The overall unit of current is fixed once by matching the quadratic response to the canonical EFT normalization of at the matching scale . After this single normalization choice, sector-to-sector differences enter only through k (P6) and through the charged sectors active at .
In linear response, independent charge sectors contribute additively to the quadratic cost; a sector is active at
if it produces resolved edge-current fluctuations within the modular bandwidth set by
(P5). With the synthesis of
flux convention (P2), finite capacity (P5), gauge topology (P6) and linear response, the screen yields the inverse coupling:
where
represents the effective edge level determined by P6.
This treats couplings as a property of the observation layer, not as the underlying dynamics. The screen fixes the matching value at through its quantized edge current normalization. Ordinary RG running below proceeds as usual.
Minimal Algebra and Current Normalization
The minimal inventory of gauge sectors is consistent with the finite algebra
used in spectral-action formulations of the Standard Model [
60,
61]. In the screen picture this decomposition is read operationally (phase/orientation/mixing roles of the pixel register). For non-abelian factors, stiffness is measured by standard Lie-algebra data such as the dual Coxeter number (
,
). For the minimal gauge inventory adopted here, the commuting phase sector has rank 4; the Cartan fixed point is therefore
.
We have shown that the framework naturally recovers the SM gauge inventory and identifies the non-abelian stiffness with
.
Appendix C implements this identification quantitatively to obtain gauge couplings.
2.5. Scalar Sector: Matter and Mass as Scalar Response (Occupancy Hessian)
While gauge dynamics probe the operational history on the base manifold
(P2, P4), fermion masses are controlled by internal accessibility (P5). We model this via a minimal compact fiber (homogeneous closure of the conformal frame bundle
(P5) [
62,
63]), where accessibility scales with the independent transport axes (P7).
We model the mass sector by coupling a scalar occupancy deformation to the gauge-invariant density operator . This sector is less universal than the gauge response. In the symmetry decomposition of the Kubo–Mori Hessian , the density operator is a Lorentz scalar, so mass resides in the scalar block through the correlator .
Axiom P7 requires the transport layer to carry a
grading, so the minimal payload admits spinor representations [
59]. Locality then singles out Dirac-type transport as the canonical propagator [
25], with a covariant derivative that couples the payload to both geometric address and gauge phase:
On a bounded region, charged operators are not gauge-invariant without their edge completion (P3/P6). The minimal localized charged excitation on is therefore a dressed composite. In the minimal closure we treat it as dipole-like, with pair energy ; any additional overhead is absorbed into a factor (we take unless stated) [Closure].
We now encode mass as a scalar occupancy deformation of the modular generator.
Generational Topology and Dilution Principle
Finite resolution organizes the spectrum into modes with distinct effective accessible volumes
. If a mode explores a larger volume, its local intensity (and therefore its overlap with a localized anchor) is diluted. With normalization
, the induced mass gap scales as:
Finite resolution (P5) and the modular clock (P4) imply a finite exploration budget. Near the diamond tips the geometry becomes sub-resolution, so the resolved boundary algebra behaves effectively as an open system with a coherence lifetime (tip leak time). Exploration proceeds within the internal gauge bundle (P6) and is characterized by a mixing time , set by the minimal routing primitive (P7): the modular interval required to spread a mode over the accessible phase space. Accessibility is classified by modular resolvability , ordering the regimes by stability.
Generations emerge as fixed points of modular dynamics, where the stability ratio determines the accessibility class and thus the mass m. This hierarchy follows a group-theoretic stratification of the internal manifold: the stable limit () resolves the global topology G (Generation 1); the transient regime () restricts accessibility to the tangent neighborhood of the local generator algebra (Generation 2); and the prompt limit () confines the state to the internal fiber’s commuting phase torus T (Generation 3). This descent is a spectral filtration where accessibility becomes a constrained resource: stable modes resolve the infrared composite scale , whereas prompt modes (decaying before hadronic dressing can manifest) default to the ultraviolet pixel budget . A 4th generation of matter is excluded as the filtration admits no further stable substructures.
Appendix D implements this filtration quantitatively and derives the lepton spectrum from it.
Finally, once masses are understood as occupancy stiffness in the scalar Hessian, finite resolution introduces an upper ceiling for localized excitations set by the per-address energy
.
Appendix B applies this logic quantitatively, treating the Higgs and Top Quark as near-ceiling modes.
2.6. Saturation and Bandwidth Limits
As curvature approaches the physical bandwidth scale (
), the screen can no longer resolve finer geometric gradients, so a nonlinear modification becomes necessary. The leading correction compatible with the bandwidth ceiling (Axiom P5) is quadratic in curvature (
). We take
as the leading saturation correction by minimal closure: isotropic compression first saturates the scalar (trace) stiffness mode. This transitions the effective action to:
This structure places the high-curvature regime in the Starobinsky plateau universality class [
44]. We adopt the minimal closure
, linking saturation directly to the hardware scale. Because the
coefficient arises from the same channel bundle and spectral function as the Einstein term, its coupling is not an independent free parameter. It is locked to
and
via the ratio:
In this view, inflation is simply the elastic limit of the vacuum (onset of stiffness saturation when curvature attempts to exceed hardware resolution) [
64]. This fixes the plateau targets for
in terms of
(
Appendix A). By Axiom P5 (finite capacity), the spectrum has a fundamental ceiling (
Appendix B). Conversely, identifying the cosmic horizon as the infrared bandwidth limit allows us to derive the late-time vacuum acceleration scale from the same boundary logic (
Appendix D).
2.7. The Unified Coherency Action
Combining the tensor (gravity), vector (gauge) and scalar (mass) Hessian sectors with the first saturation correction (
), we obtain a unified coherency action. This result is valid as a derivative expansion for
, with the
term becoming dynamically relevant as
:
Here and m is the mass gap generated by the defect structure. The remainders are higher-dimension operators suppressed by , organized by the heat-kernel expansion.
This single action unifies three distinct response behaviors of the screen:
Macroscopic Rigidity (Extensive): Gravity is stiff because it is built from a large bundle of channels ().
Local Response (Intensive): Gauge susceptibility and occupancy stiffness are internal material properties of the pixel algebra.
Resolution Ceiling (Saturation): The system has a physical bandwidth. The term enforces the resolution scale .
These regimes are not separate theories stitched together; they are the same fixed hardware evaluated at different information densities.
2.8. Dynamical Evolution and Information Flow
To propagate the state
across a sequence of nested diamonds (e.g., during evaporation) and obtain a backreacting radiation flux, we require a dynamical update rule. At finite resolution (P5), this is an open process. In the adiabatic regime, we approximate the sequence of inferential updates by a continuous evolution in modular time
generated by a GKSL (Lindblad) equation [
39,
40]:
Here,
is the reduced state on the diamond algebra [
30], while the modular Hamiltonian
generates the intrinsic modular flow (P4). The parameter
acts as the local clock of this reduced algebra. In contrast,
t denotes the coarse-grained proper time of an external observer, related by the redshift
at the cutoff surface (
Section 1) [
5]. Thus,
is a derivative along the emergent relational clock of the operational window, not a fundamental time evolution of the global state
.
The unitary term represents the coherent modular drift; the dissipator (composed of jump operators and decay rates ) encodes irreversible information leakage. We identify with the modular components of resolved excitations: edge currents (P6) and gauge-invariant dressed spinorial (dipole-like) excitations (P7/P3), localized at the tip interface. The GKSL form guarantees complete positivity and trace preservation (). To preserve the local KMS equilibrium, we impose modular covariance, , and KMS detailed balance, .
Finite resolution acts as a coarse-graining filter on the diamond algebra. The stable pointer algebra is the fixed-point subalgebra . In the low-coherence limit, this structure loses ordering and becomes commuting (Cartan sector).
The dissipation strength is set by the tip anomaly (P7) , where suppresses unresolved frequencies . The dissipative contribution to the modular-energy flux, , acts as the radiated power in modular time, updating the background geometry ().
UV-Independence of the Macroscopic Law
In the adiabatic limit, tip-dominated dissipation implies a local power
. Applying the redshift from the cutoff (
, with surface gravity
) yields the macroscopic power:
Matching this to the semi-classical Hawking formula
[
46] implies the structural benchmark
. Using the energy balance
, we obtain the screen evaporation law:
The parameter represents the species-integrated emissivity at temperature .
UV-Safety and Lorentz Invariance
Other discrete theories fail to hide their lattice scale in the infrared. We instead impose
as an operational boundary bandwidth and let modular/KMS redshift plus CPTP contractivity wash it out of macroscopic laws, leaving only dimensionless response coefficients [
41]. This makes the finite-resolution screen UV-safe. Because the hardware scale
cancels out of the macroscopic law, the framework avoids the lattice curse common to discrete models; the discretization scale does not leave a preferred-frame imprint, thereby preserving Lorentz invariance in the infrared.
Also because cancels, the leading dynamics are determined by the topological routing cost and the active-channel factor . In this picture, the Hawking flux is determined by how the screen leaks information at its ports, not by the details of the discretization.
Information Preservation and Page-Curve Turnover
The information paradox is reinterpreted here as a bandwidth problem. Because the algebra is fixed and has finite capacity (P5), information is redistributed rather than destroyed. The apparent loss in semiclassical gravity is an artifact of , which assumes an infinite-density register.
To track global information, we embed the effective evolution into a moving-partition closure on a fixed total space . The shrinking horizon is modeled as a time-dependent reassignment of degrees of freedom from the active diamond algebra to the radiation algebra . The reassignment rate is tied to the decreasing pixel count , ensuring that as the screen capacity diminishes, the state remains pure. This provides a well-posed Page-curve turnover criterion.
2.9. Relation to Continuum Approaches
Our formulation complements continuum entropic programs like Bianconi’s [
10,
49] and related emergent gravity proposals [
11,
12]. We however impose a stricter structure by locking the operational hardware a priori. Interactions emerge as statistical responses of the screen, not independent inputs added to the geometry. Edge completion (P1–P3) and the physical cutoff
(P4–P5) anchor renormalization at a fixed scale, while the router–payload distinction (P7) makes the admissible transport part of the construction rather than an external assumption. This naturally enforces an extensive/intensive split between gravitational stiffness and local susceptibility.
Our construction also connects to spectral-action ideas in Non-Commutative Geometry (NCG), using the spectral trace to represent the mode-summed Kubo–Mori response [
47,
52]. Here, the cutoff is not a formal regulator
, but the operational bandwidth
fixed by the screen. As a result, the coefficients become matching-scale response properties rather than renormalization artifacts.
2.10. Recovery of Standard Limits
The effective action generates the standard equations of motion, with coefficients that are now structurally linked. For the gravitational sector, the equations include the standard higher-derivative contribution:
Einstein Regime (Extensive Linear Response): Stationarity of the coherency cost (dominated by the tensor Hessian) constrains the background geometry to the Einstein universality class [
6,
51]. The stiffness
is not arbitrary but set by the aggregate channel capacity
[
17]:
.
Dirac–YM Regime (Payload Transport): The spinor-lift grading (Axiom P7) mandates that matter be spinorial, while the vector and scalar Hessian blocks select Yang–Mills and Dirac kinetics as the minimal transport rules [
25]:
These forms represent the transport logic of the boundary algebra and fix the kinematics. While the Einstein sector follows from known logic [
6,
16], the simultaneous recovery of minimal Dirac/Yang–Mills transport from screen constraints is, to our knowledge, new in this setting. This advance is enabled by resolving the boundary microstructure (internal pixel algebra) rather than only its thermodynamic macrostate, allowing us to treat GR (from entanglement) and Dirac (from transport) as sibling outputs of the same inference engine.
Microscopic Arrow of Time: Finite resolution enforces structural irreversibility. Near the diamond tips, the transverse cross-section becomes sub-resolution at scale
(Axiom P5), forcing an effective split
. Tracing out sub-pixel modes (
) induces a Completely Positive Trace-Preserving (CPTP) map
. Since relative entropy is contractive,
, the coherency action is monotonic along the induced open evolution. Physically, integrating out
yields a Feynman–Vernon noise kernel (
) [
40,
65]. Most theories have to assume an arrow of time; here it is a direct consequence of finite-resolution boundaries.
3. Geometric Origin of Constants and Cosmological Dynamics
This chapter serves as a compact summary of the framework quantitative predictions. The derivations themselves are not carried out here; they are provided in the
Appendix A, where each sector applies the same two ingredients established in
Section 1 and
Section 2: a fixed screen architecture defined by the seven axioms (P1–P7) with minimal natural closures, and a single dynamical engine (identifying the physical action as relative entropy, governed by the linear response of a boundary-completed algebra in the modular/KMS regime).
The objective of this chapter is to demonstrate, in a central location, the numerical implications of these ingredients. In the proposed framework, the fundamental parameters of nature (particle masses, coupling strengths, cosmological parameters) are not arbitrary numbers that must be fitted to data. Once the channel multiplicity (N) is fixed by pure entropic geometry and the resolution () is calibrated by our sole dimensional input (G), these quantities appear as the necessary operating settings of the screen itself.
The scope of the predictions may appear unusually broad. In standard practice, these sectors are treated as distinct domains. However, we present these results here as a single Result Ledger because they are derived from the same fixed hardware. In the framework, the same pair that limits ultraviolet curvature during inflation also dictates the infrared leakage of the vacuum and the pixel budget of the Higgs. To split these results into separate reports would obscure the mechanism, transforming derived necessities into a series of unexplained numerical coincidences.
To ensure transparency, the ledger (
Table 1) explicitly lists the specific Axioms (P1–P7) and the minimal closures for each result. Furthermore, note that each appendix concludes with model compression audits that itemize the inputs, closures, outputs and falsifiers for the specific sector. From just one dimensional input (
G) and seven natural geometric axioms, we recover 26 observational targets across sixty orders of magnitude, suggesting that the entire physical hierarchy is the output of a single, unified architecture.
3.1. Result Ledger (Model Predictions vs. Observations)
Class [X, Y]: Entries carry [X, Y], where X specifies the comparator class (M=Measured, I=Inferred, S=SM/RGE, B=Bound, H=Heuristic) and Y specifies the audit class (P=Primary/Direct, D=Dependent/ Algebraic, E=Exploratory).
Derivation Basis: Lists the axioms (P#) and Minimality Closures (C#) used. Entries using an empirical anchor for precision are also given in square brackets.
Axioms (P1–P7): P1 (Non-factorization); P2 (Causal Diamonds); P3 (Boundary Completion); P4 (Modular Locality); P5 (Finite Capacity); P6 (Gauge Topology); P7 (Network Architecture, Routing, Payload)
Closures (minimality assumptions): [C1] No-hierarchy Saturation (); [C2] Minimal Decoherence (); [C3] Minimal Leakage (); [C4] Distinguishability Threshold (); [C5] Dimensional Dilution (); [C6] Minimal Structural Entropy (); [C7] Uniform Phase RMS; [C8] Minimal Dressing (); [C9] Effective Running + Cavity Geometric Factor (); [C10] Minimal Internal Manifold (); [C11] Minimal Tangent Algebra (); [C12] Minimal Rank 4 Inventory (); [C13] Signed-Axis Redundancy (); [C14] Standard Weak Scaling ().
3.2. Derivation Summary and Insights
The architectural foundation is established in
Section 1. Rather than tuning independent sectors for inflation, forces and mass, we start from a single operational object: a causal diamond equipped with a boundary-completed algebra (edge completion) to make local subsystems well-defined [
2,
14,
20], a finite bandwidth
and a channel multiplicity
N. As such, we did not try to quantize the graviton; instead, we discretize the gravitational stiffness (and thus information capacity) of the boundary [
6,
18]. We determined the constants (
) in
Section 1 using established entropic geometry to fix the topology and capacity of the screen [
7,
10,
16]. Those two constants carry most of the load: the single-channel bandwidth
sets saturation and activation thresholds, while the channel multiplicity
N sets collective averaging and stiffness [
17]. As a result, the same architecture simultaneously controls inflationary amplitudes, coupling strengths and mass gaps.
The dynamical engine in
Section 2 relies on a specific identification: we treat the physical action not as a postulate, but as a relative-entropic mismatch functional [
34,
58]. By identifying the Hessian of this relative entropy (Kubo–Mori metric) with the system linear response [
22,
50], we derive the matter sectors from geometry. Operationally, this Hessian naturally organizes into orthogonal tensor, vector and scalar blocks: tensor stiffness fixes
, vector stiffness fixes couplings (
) and scalar susceptibility fixes mass gaps. Finite resolution also makes the modular update an open-system coarse-graining [
39,
40], so fixed-point structure and spectral counting become physical properties rather than artifacts. The heat-kernel expansion then provides the map from these response kernels to effective parameters at the matching scale [
35].
Cosmology: Capacity Saturation and Entropic Response (
Appendix A)
In the ultraviolet, finite resolution makes high curvature a saturation problem: as , the response cannot grow indefinitely and the effective dynamics falls into the plateau universality class. In our language, the inflaton is not a new field; it is the scalar response mode of the stiffness sector as curvature approaches the bandwidth ceiling, with setting the scalaron scale through the minimal saturation identification. The scalar amplitude becomes a hardware diagnostic: the curvature readout averages over N parallel channels, so the variance scales as , turning into a channel-count statistic. The resulting plateau relations then fix once is set by a coherence budget tied to the router.
In the deep infrared, the same open-system machinery is used: leakage redshifts to an channel. This reflects the redshift-cancellation mechanism: the microscopic scale drops out, leaving only a dimensionless utilization ratio (active channels vs. ports), so the vacuum fraction reduces (in the minimal closure) to . Late-time growth suppression and acceleration floor are treated as coherence and noise limits of the same boundary, with phenomenology closures stated transparently.
Electroweak Saturation and Mass Generation (Appendix B)
The key split is extensive versus intensive response. The Planck scale reflects collective stiffness of many channels in parallel (); the electroweak scale reflects the intensive single-pixel budget . Here, the Higgs plays the role of the screen’s electroweak register, the minimal boundary structure needed to define and normalize the charge basis. The top mass is simply the first fermionic excitation that saturates a single-pixel unitary step (Nyquist phase domain) once dressing is imposed. This yields a compact set of matching-scale locks () and derived relations such as and in the observed range, without introducing new mass parameters at the screen level. This recasts the hierarchy problem in geometric terms: gravity is weak because it is extensive (shared by N channels), while electroweak thresholds are intensive (per pixel).
Gauge Couplings as Entropic Stiffness (Appendix C)
Gauge couplings are read as vector-sector stiffness: the quadratic coherency cost of a background connection on the fixed algebra. Two ingredients make this rigid. First, the finite modular history fixes the integration window. Concretely, the universal modular kernel integrated over the resolved history produces a fixed susceptibility factor (with set by hardware), so the result is a protocol feature of the screen rather than a regulator choice. Second, topological quantization (P6) replaces continuous normalization freedom by integer levels k. Once the continuum normalization is fixed, microscopic details collapse into integer data (levels and inventory counts), which is why coupling ratios become discrete locks rather than adjustable parameters. The same spectral heat-kernel machinery used for EFT coefficients then provides a global static estimate of as a spectral sum on the fixed history manifold.
Lepton Mass Spectrum via Spectral Filtration (Appendix D)
Generations arise as stable accessibility limits under finite-coherence coarse-graining. The generation barrier is algebraic: under the open modular update, the stable fixed-point algebra abelianizes as coherence shrinks, so accessible structure reduces in the canonical sequence . This gives a precise criterion and organizes the hierarchy as the standard group-theoretical Lie filtration realized operationally. In the global limit, accessibility reduces to a volume count on the minimal internal closure and yields the rigid ratio; in the tangent limit it reduces to generator content; in the commuting limit it reduces to Cartan phase volume modulo router redundancy. Where an empirical anchor is used (notably ), it is marked explicitly and used to precision-test a dimensionless geometric ratio rather than to tune the architecture.
Unification Across Scales
The ledger is best read as a controlled change of regime with information density. At low curvature, the extensive channel bundle yields Einstein stiffness. At intermediate densities, the intensive pixel budget partitions into electroweak thresholds. Near the bandwidth ceiling, stiffness saturates and produces plateau inflation. In the deep infrared, maintenance and decoherence effects of an open boundary dominate. The same pair therefore links UV saturation (inflation), mid-scale thresholds () and IR maintenance (leakage) without introducing separate sector scales. The compactness of the results comes from consistency: instead of tuning the model for each problem, we commit to a single architecture and let it dictate the physics across all scales.
4. Conclusions and Outlook
This paper proposes a finite-resolution Coherency Screen as the minimal boundary ontology needed to define local physics in a diffeomorphism-invariant quantum theory. We work in a Wheeler–DeWitt setting () where the global state is constrained rather than time-evolved. In such a framework, the central operational problem is not to "quantize the graviton", but to make a local subsystem well-defined when gravitational Hilbert spaces do not factorize cleanly across subregions.
4.1. Architectural Foundation: Discretizing Capacity
The architectural foundation is established in
Section 1. Rather than tuning independent sectors for inflation, forces, and mass, we start from a single operational object: a causal diamond equipped with a boundary-completed algebra to make local subsystems well-defined.
The fundamental discretization in this framework is not a lattice of spacetime points. It is a count of independent coherency channels carried by the regulated boundary degrees of freedom. In the spirit of Heisenberg on the archipelago of Helgoland, we discretize the gravitational stiffness, not coordinates, rendering the gravitational variational principle well defined.
The key master equation is the topology-locked channel multiplicity (screen depth):
Concretely,
N is the effective number of independent coherency channels (parallel strands) available per screen pixel to store and transmit the boundary edge data that keeps the vacuum geometry stable. The constitutive relation connects the macroscopic stiffness
to the microscopic bandwidth
via this channel count:
This fixes the fundamental resolution scale of the screen to:
This result encodes a clear interpretation: is the single-channel bandwidth (physical resolution), while is the collective stiffness enhanced by parallelization across channels. Gravity is extensive in channel depth; gauge response is intensive and does not scale with N. This recasts the hierarchy problem in geometric terms: gravity is weak because it is extensive (diluted over N channels), while electroweak thresholds are intensive (set by the single-pixel energy ).
4.2. Axiomatic Basis
The framework is built from seven screen-natural axioms that formalize what is needed for local physics in constrained gravity: non-factorization, operational locality on causal diamonds, edge completion, modularity (KMS), finite capacity, gauge topology (quantized edge structure) and discrete isotropy (minimal transport). In the screen context, these are not ad hoc additions; they are the minimal operational requirements to define subsystems, clocks and regulated observables without having to assume a background structure.
4.3. Dynamical Engine and Hessian Response
The dynamical engine in
Section 2 relies on a specific identification: we treat the physical action not as a postulate, but as a relative-entropic mismatch functional. By identifying the Hessian of this relative entropy (Kubo–Mori metric) with the system linear response, we derive the matter sectors directly from geometry.
Operationally, this Hessian naturally organizes into orthogonal blocks: tensor stiffness fixes
, vector stiffness fixes couplings (
) and scalar susceptibility fixes mass gaps. Furthermore, finite resolution makes the modular update an open-system coarse-graining described by GKSL (Lindblad) evolution. This ensures that fixed-point structures and spectral counting become physical properties rather than regulator artifacts. This dissipative mechanism provides a concrete leakage channel in the deep IR, with the tip anomaly setting the structural scale of dissipation utilized in
Appendix A.
4.4. Cross-Sector Locking and Model Rigidity
Once Newton’s constant G fixes the overall stiffness scale, the remaining outputs are determined by discrete screen structure and regulator choices.
A useful way to express this rigidity is to adopt coherency units by setting . In these units, the structure is fixed by discrete screen data and the variational protocol; conventional units are recovered by the single conversion set by G. This is a highly non-trivial reduction of parametric freedom: a broad set of observables becomes a consistency web rather than independent inputs.
At low curvature, the extensive channel bundle yields Einstein stiffness. At intermediate densities, the intensive pixel budget partitions into electroweak thresholds. Near the bandwidth ceiling, stiffness saturates and produces plateau inflation.
In this view, the inflationary scalar amplitude is simply a hardware diagnostic: the curvature readout averages over N parallel channels, so the variance scales as , turning the observed amplitude () into a simple channel-count statistic. Similarly, particle generations arise not from arbitrary replication, but because the stable fixed-point algebra abelianizes as coherence shrinks, forcing the accessible structure to descend the group-theoretical Lie filtration sequence .
For each prediction, the ledger states the specific Axioms (P1–P7) and minimal Closures used. Furthermore, each topic appendix concludes with a Model Compression Audit to prevent parameter choices from being disguised as structural predictions.
4.5. Context and Outlook
This work builds on established entropic routes to gravity, edge-mode treatments of local algebras and spectral methods for organizing the relative-entropic action. Our contribution is to treat the boundary hardware as fixed upstream and to use a single relative-entropic variational protocol, implemented through the Hessian of second variations (Kubo–Mori response), to link tensor, vector and scalar response across scales, producing correlated outputs rather than sector-by-sector inputs.
We conclude with a final reflection: In this framework, the perceived reality is the most efficient geometric description of boundary correlations. It is not an extra structure added to quantum mechanics; it is the reference description that minimizes the coherency cost under the fixed state space and bandwidth of a finite-resolution screen. Instead of tuning the model for each problem, we commit to a unique architecture and let it dictate the physics across all scales. The resulting physics is therefore not a matter of arbitrary tuning, but a consequence of what a finite-capacity, boundary-completed quantum theory can represent consistently. In this sense, the observed universe emerges as the coherent expression of a unified operational information architecture.