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Engineering Macroscopic Wormholes via Planck-Scale Quantum Backreaction

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07 March 2026

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09 March 2026

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Abstract
Macroscopic traversable wormholes remain a canonical stress test for the interplay between geometry, quantum fields, and causality in semiclassical gravity. The central obstacle is well known: flare-out at a static throat requires local violations of classical energy conditions, while chronology-sensitive configurations can induce large vacuum polarization that destabilizes the very backgrounds they rely on. We develop a long-form semiclassical framework in which Planck-scale metric fluctuations are treated as stochastic but correlated geometric modes that feed into the renormalized stress tensor and produce an effective backreaction sector near a wormhole throat. Starting from the semiclassical Einstein equation \( G_{\mu\nu}=8\pi G\left(T_{\mu\nu}^{\mathrm{cl}}+\langle T_{\mu\nu}\rangle_{\mathrm{ren}}\right) \), we derive explicit consistency inequalities for redshift regularity, shape-function flare-out, perturbative validity, and chronology-window control. We then construct parameterized shell-mode corrections, compute averaged null projections, and map stability regions as functions of throat scale, mode amplitude, and coherence length. The analysis is intentionally conservative: no claim of ultraviolet completion is made, and all quantitative statements are interpreted as effective-field-theory bounds. We further connect the model to chronology protection diagnostics, compare with competing traversable-wormhole mechanisms, and provide figure-driven interpretations of causal structure. Finally, we outline observationally motivated signatures in primordial spectra, gravitational-wave ringdown deformations, and analog-gravity platforms. The result is a technically explicit, falsifiable semiclassical program that clarifies where wormhole engineering proposals are consistent, where they fail, and where quantum gravity input is indispensable.
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1. Introduction

The modern study of traversable wormholes sits at the interface of geometry, quantum matter, and causal structure. Einstein and Rosen introduced nontrivial bridges in 1935, but those constructions were non-traversable and motivated by particle-like interpretations of field singularities [1]. The later Morris–Thorne program reframed wormholes as explicit spacetimes with tunable throat geometry and asymptotic flatness [6]. This shift exposed a fundamental issue: sustained throat flare-out requires negative effective null energy density in the vicinity of the throat. Classical matter models rarely provide such behavior without instabilities or nonphysical stress sectors.
The present work asks whether Planck-scale quantum backreaction can supply a finite, controlled support channel for macroscopic throat stability without demanding an ad hoc classical exotic fluid. Our perspective is intentionally semiclassical: we do not assume a complete theory of quantum gravity, but instead work with renormalized quantum stress tensors on slowly varying backgrounds, together with a covariant perturbative expansion in geometric fluctuations.
The chronology problem appears immediately. Any geometry that allows effective short-cutting between distant spacetime regions can, when embedded in relative motion protocols, lead to near-closed timelike curves (CTCs). Hawking’s chronology protection conjecture states that quantum effects should diverge near chronology horizons strongly enough to obstruct macroscopic causality violation [9]. This conjecture, although not proven in complete generality, provides a powerful consistency filter for wormhole engineering schemes.
Historically, Wheeler’s spacetime foam picture suggested that topology fluctuations are natural at Planck scales, raising the possibility that nontrivial connectivity could emerge as a quantum-gravitational phase rather than a classical engineering artifact [2,3]. Subsequent developments in quantum field theory in curved spacetime, especially renormalization of T μ ν , supplied calculational tools for examining backreaction near horizons and compact regions [14,15,17]. Modern holographic ideas, including ER=EPR, further motivate revisiting geometric connectivity from entanglement-first viewpoints [31,32].
In this manuscript we assemble these lines into a single technical narrative. We introduce a mode-resolved fluctuation model near the throat, compute effective stress-energy corrections at second order, and derive stability and causality bounds that can be tested numerically. We emphasize where assumptions enter. 1 We also include explicit diagrams and parameter tables to keep the argument transparent and reproducible.

Contributions and Paper Roadmap

Our main contributions are:
  • A detailed historical-to-technical bridge from Einstein–Rosen geometry to semiclassical throat stabilization.
  • A covariant fluctuation ansatz for Planck-scale backreaction near a Morris–Thorne-type throat.
  • Closed-form inequalities for flare-out, averaged-energy projections, and chronology-window constraints.
  • Figure-driven interpretation of embedding geometry, mode flow, causal loops, and observational parameter sectors.
  • A bibliography expanded to foundational and modern literature across general relativity-quantum cosmology and high-energy-physics-theory.

2. Historical Background of Wormhole Physics

2.1. From Einstein–Rosen Bridges to Geometric Topology Change

Einstein and Rosen’s original bridge identified two exterior Schwarzschild regions across a coordinate patch, but the wormhole pinches off too quickly for traversability [1]. This non-traversable character was later clarified through maximal extensions and global structure analyses [4,5]. Wheeler then proposed spacetime foam, in which Planckian geometry admits fluctuating topology and transient micro-wormholes [2,3]. Although heuristic, this picture motivates treating connectivity as a quantum effect rather than purely classical architecture.

2.2. Traversability and Exotic Support

Morris and Thorne formalized traversable wormholes with humanly passable tidal constraints and no event horizons [6]. The key geometric condition is throat flare-out, encoded by b ( r 0 ) = r 0 and b ( r 0 ) < 1 . Einstein equations then imply NEC violation near r 0 , often interpreted as “exotic matter.” Subsequent work by Visser and others broadened constructions via cut-and-paste junctions, thin shells, and alternative equations of state [10,11,12,13].

2.3. Chronology Programs and Self-Consistency

The Morris–Thorne–Yurtsever protocol showed that relative motion of wormhole mouths can produce time shifts and CTC risk [7]. Hawking argued that stress-energy amplification near chronology horizons may prevent full chronology violation [9]. Competing views include self-consistency constraints à la Novikov and quantum information models of CTC behavior [25,26]. Our work treats chronology protection as an operational consistency bound rather than a dogma.

3. Energy Conditions in General Relativity

For a static, spherically symmetric ansatz,
d s 2 = e 2 Φ ( r ) d t 2 + d r 2 1 b ( r ) / r + r 2 ( d θ 2 + sin 2 θ d φ 2 ) ,
we define throat radius r 0 by b ( r 0 ) = r 0 . Radial null vectors yield
8 π G T μ ν k μ k ν = b ( r ) r b ( r ) r 3 + 2 1 b ( r ) r Φ ( r ) r .
At the throat, regular Φ gives
T μ ν k μ k ν r 0 = b ( r 0 ) 1 8 π G r 0 2 < 0 ,
confirming NEC violation for flare-out. 2

3.1. Averaged Conditions and Quantum Inequalities

Ford and Roman derived bounds on negative energy duration and magnitude in quantum field theory [18,19]. A schematic worldline bound reads
ρ ( τ ) f ( τ ) d τ C τ 0 4 ,
for smooth sampling function f of width τ 0 . Wormhole support sectors must therefore satisfy an optimization problem: sufficient negative effective energy near r 0 , but not so persistent as to violate quantum inequality bounds.

3.2. Comparative Energy-Condition Taxonomy

Table 1. Energy-condition behavior across representative exotic spacetimes.
Table 1. Energy-condition behavior across representative exotic spacetimes.
Model NEC WEC SEC ANEC Dominant support channel
Morris–Thorne traversable wormhole × × × × Exotic throat source
Thin-shell wormhole × mixed mixed mixed Junction stress
Alcubierre bubble × × × × Warp-shell stress anisotropy
Casimir throat
(toy EFT) local local mixed constrained Vacuum polarization
Planck backreaction
(this work) eff. local mixed mixed constrained Renormalized quantum stress

4. Quantum Field Theory in Curved Spacetime

4.1. Semiclassical Einstein Equation

We adopt
G μ ν + Λ g μ ν = 8 π G T μ ν cl + T μ ν ren ,
with μ T μ ν ren = 0 . Renormalization introduces geometric counterterms proportional to R 2 , R μ ν R μ ν , and R μ ν α β R μ ν α β in effective action language [14,17].

4.2. Vacuum Polarization Near Horizons and Throats

Near nearly trapped regions, mode redshifting amplifies state dependence of T μ ν ren . 3 For static sectors, point-splitting gives
T μ ν ren = lim x x D μ ν G ( 1 ) ( x , x ) G Had ( 1 ) ( x , x ) ,
where G Had ( 1 ) subtracts the universal short-distance singularity.

4.3. Fluctuation Expansion and Stochastic Gravity Motivation

Write
g μ ν = g ¯ μ ν + h μ ν , h μ ν = 0 ,
with correlator
h μ ν ( x ) h α β ( y ) = P 2 N μ ν α β ( x , y ) .
Then
G μ ν [ g ¯ + h ] = G μ ν [ g ¯ ] + G μ ν ( 2 ) [ h ] + O ( h 3 ) ,
which motivates an effective source
T μ ν br 1 8 π G G μ ν ( 2 ) [ h ] .

5. Semiclassical Backreaction Framework

5.1. Mode-Resolved Throat Ansatz

We parameterize the near-throat fluctuation packet as
δ g μ ν ( n ) ( r ) = ε n exp ( r r 0 ) 2 2 σ n 2 cos n π ( r r 0 ) L n Π μ ν ( n ) ,
with | ε n | 1 and projector tensors Π μ ν ( n ) . A finite set n N * captures EFT-resolved modes.
Define aggregated amplitude
A ( r ) = n = 1 N * ε n e ( r r 0 ) 2 / ( 2 σ n 2 ) .
Backreaction-corrected shape and redshift functions are modeled as
b e f f ( r ) = b 0 ( r ) + α b r 0 A ( r ) + β b r 0 A 2 ( r ) ,
Φ e f f ( r ) = Φ 0 ( r ) + α Φ A ( r ) + β Φ A ( r ) .

5.2. Stability and Perturbative Control Window

Linear radial perturbations r ( t ) = r 0 + δ r ( t ) satisfy
δ r ¨ + Ω r 2 δ r = 0 ,
with
Ω r 2 2 V e f f r 2 r 0 .
A viable semiclassical window requires simultaneously:
b e f f ( r 0 ) = r 0 , b e f f ( r 0 ) < 1 ,
G ( 2 ) G [ g ¯ ] η m a x 1 ,
Ω r 2 > 0 ,
Q Q I τ 0 4 ρ ( τ ) f ( τ ) d τ C Q I .
Equation (20) encodes quantum inequality compliance.

5.3. Representative Parameter Datasets

Table 2. Illustrative stability parameter ranges (dimensionless unless noted).
Table 2. Illustrative stability parameter ranges (dimensionless unless noted).
Parameter Symbol Min Max Nominal Physical interpretation
Throat radius (km) r 0 10 3 10 2 1 Macroscopic bridge scale
Mode amplitude ε n 10 9 10 2 10 5 Planck-seeded geometric fluctuation
Coherence width ( r 0 units) σ n / r 0 10 3 10 1 10 2 Shell localization near throat
Backreaction ratio η 10 6 10 1 10 3 EFT validity diagnostic
Chronology indicator χ C T C 0 1 0.25 Proximity to causal-loop onset
Table 3. Planck-scale fluctuation amplitudes for selected mode families.
Table 3. Planck-scale fluctuation amplitudes for selected mode families.
Mode index n ε n σ n / r 0 L n / r 0 Comment
1 1.0 × 10 5 2.0 × 10 2 0.9 Dominant low-frequency support mode
2 6.5 × 10 6 1.8 × 10 2 0.6 Corrective mode suppressing over-flare
3 4.0 × 10 6 1.2 × 10 2 0.45 Localized compensation near r 0 +
4 2.2 × 10 6 1.0 × 10 2 0.35 Higher mode, small chronology sensitivity
5 1.5 × 10 6 8.0 × 10 3 0.30 Ultraviolet tail within EFT cutoff

6. Wormhole Geometry and Stability Analysis

6.1. Flare-out with Backreaction Corrections

Expanding
Δ ( r ) r b e f f ( r ) = Δ 1 ( r r 0 ) + 1 2 Δ 2 ( r r 0 ) 2 + ,
flare-out demands Δ 1 > 0 . In terms of coefficients in (13),
Δ 1 = 1 b 0 ( r 0 ) α b r 0 A ( r 0 ) 2 β b r 0 A ( r 0 ) A ( r 0 ) > 0 .
Hence a positive classical margin 1 b 0 ( r 0 ) can be reduced or enhanced depending on mode phasing. 4

6.2. Embedding Geometry (TikZ)

Figure 1. Embedding cross-section of an effective traversable throat.
Figure 1. Embedding cross-section of an effective traversable throat.
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6.3. Embedding Surface (pgfplots)

Figure 2. Canonical embedding surface for the effective throat geometry.
Figure 2. Canonical embedding surface for the effective throat geometry.
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6.4. Backreaction Process Diagram

Figure 3. Backreaction pipeline used in the present framework.
Figure 3. Backreaction pipeline used in the present framework.
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7. Chronology Protection and CTC Constraints

7.1. Causal-Loop Onset and Horizon Diagnostics

Let Δ T denote induced proper-time shift between mouths under motion protocol. A CTC-accessible sector emerges when Δ T > L A B / c for spatial separation L A B . We define chronology margin
Γ 1 Δ T c L A B .
Γ < 0 indicates formal CTC access; Γ 0 + indicates chronology-horizon approach.
Near Γ 0 + , renormalized stress can scale as
T μ ν ren Γ p , p > 0 ,
with model- and state-dependent exponent. 5

7.2. Causal Diagram with CTC Loop

Figure 4. Schematic causal loop in mouth-displaced wormhole protocol.
Figure 4. Schematic causal loop in mouth-displaced wormhole protocol.
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7.3. Chronology Protection Inequality Set

A conservative consistency region can be phrased as
Γ Γ m i n > 0 ,
max T μ ν ren T U V ,
P 2 R 1 + χ C T C 1 ,
where R is characteristic curvature scalar. The third condition enforces EFT reliability as chronology sensitivity grows.

8. Observational Signatures and Experimental Proposals

8.1. Cosmological Signatures and Spectral Modulations

In inflation-adjacent parametrizations, coherence-scale backreaction can induce tiny oscillatory imprints in the scalar power spectrum:
P R ( k ) = A s k k * n s 1 1 + δ 0 sin ω ln k k * + ϕ ,
with δ 0 1 .
Figure 5. Illustrative primordial spectrum modulation induced by coherence-scale corrections.
Figure 5. Illustrative primordial spectrum modulation induced by coherence-scale corrections.
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8.2. Energy-Condition Histogram Diagnostics

Figure 6. Comparative NEC diagnostic histogram for representative models.
Figure 6. Comparative NEC diagnostic histogram for representative models.
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8.3. Analog Gravity Platforms

Acoustic black holes and BEC analogs provide controlled settings for horizon-like mode conversion and correlation measurements. While they do not realize full Einstein dynamics, they can test vacuum amplification channels and effective causal response under engineered backgrounds [44,45,46].
Table 4. Predicted signatures and indicative experimental channels.
Table 4. Predicted signatures and indicative experimental channels.
Signature class Preferred probe Notes
Oscillatory primordial tilt correction CMB + LSS joint fits Sensitive to small δ 0 with broad priors
Ringdown phase drift in compact mergers 3G GW detectors Degenerate with beyond-GR damped mode sectors
Near-horizon correlation asymmetry BEC analog experiments Tests mode-conversion analogs of vacuum polarization
Effective light-cone deformation Precision atom interferometry Requires control of environmental decoherence

9. Discussion

9.1. Limitations of Semiclassical Gravity

The semiclassical Einstein equation assumes a classical metric sourced by quantum expectation values. This is formally justified only when stress fluctuations remain subdominant relative to mean values and curvature remains below UV-sensitive thresholds. In strong chronology-adjacent sectors, these assumptions can fail rapidly.

9.2. Comparison with Alternative Models

Classical exotic-fluid models often provide direct flare-out but pay a large stability or microphysical consistency cost. Thin-shell constructions localize pathology at junctions but still require negative surface energy in standard GR. Modified-gravity traversable solutions can shift violations into effective geometric sectors, but then interpretation depends on frame and operator completion. Our approach keeps Einstein gravity intact at low energy and pushes novelty into quantized fluctuations and renormalized stress.

9.3. Consistency Constraints and Falsifiability

A useful outcome of the present program is not “proof of traversability,” but a compact falsifiability map:
  • If chronology diagnostics force Γ 0 before stable support develops, the model fails operationally.
  • If quantum inequalities preclude required negative-energy duration, the model is excluded.
  • If backreaction ratio η exceeds perturbative bounds, EFT control is lost.
  • If predicted signatures are absent in next-generation datasets, parameter space contracts sharply.

10. Conclusions and Future Work

We constructed a detailed semiclassical framework for Planck-scale backreaction support of macroscopic wormhole throats and analyzed its compatibility with energy constraints and chronology protection. The key result is conditional: finite windows of effective support can exist only when mode amplitudes, coherence widths, and causal displacement parameters remain inside a narrow multi-constraint region.
Future directions include: (i) embedding this EFT in explicit quantum-gravity candidates; (ii) holographic traversability and ER=EPR-informed state design; (iii) stochastic-gravity simulations with non-Gaussian noise kernels; and (iv) analog-gravity experiments targeting vacuum-polarization proxies. 6

Appendix A. Detailed Derivation of Semiclassical Stress Corrections

Starting from the DeWitt–Schwinger effective action,
Γ e f f = d 4 x g 1 16 π G ( R 2 Λ ) + α 1 R 2 + α 2 R μ ν R μ ν + α 3 R μ ν α β R μ ν α β ,
variation yields
T μ ν ren = 2 g δ Γ m a t t e r δ g μ ν = i = 1 3 α i H μ ν ( i ) +
with geometric tensors H μ ν ( i ) built from up to fourth derivatives of the metric. Near the throat,
T t t ren c 0 + c 1 r r 0 r 0 + c 2 r r 0 r 0 2 + ,
which enters flare-out inequalities by replacing ρ with ρ c l + ρ r e n .

Appendix B. Renormalization Notes

Using point splitting, the Hadamard parametrix in four dimensions is
G H a d ( x , x ) = 1 8 π 2 [ U ( x , x ) σ + V ( x , x ) ln ( μ 2 σ ) + W ( x , x ) ] .
Renormalized observables depend on scale μ ; running is compensated by higher-curvature couplings. 7

Appendix C. Curvature Expansion Near Throat

Set r = r 0 + δ r , | δ r | r 0 . Then
R ( r ) = R 0 + R 1 δ r r 0 + 1 2 R 2 δ r r 0 2 + ,
R μ ν R μ ν ( r ) = S 0 + S 1 δ r r 0 + .
These coefficients feed directly into the effective action terms above and can be tabulated once b e f f , Φ e f f are specified.

Appendix D. Extended Introduction and Literature Synthesis

This section extends the conceptual framing by connecting wormhole engineering to three larger programs: negative-energy constraints in quantum field theory, nonlocal semiclassical response in curved backgrounds, and chronology control in globally nontrivial Lorentzian geometries. A central point is that viability is not a yes/no attribute of a metric ansatz; it is a constrained region in a joint space of geometric coefficients, state choices, renormalization scales, and fluctuation kernels.
A common misconception is that “exotic matter” necessarily means a fundamentally new classical fluid. In semiclassical gravity, effective exoticity can emerge from renormalized expectation values of ordinary fields in nontrivial backgrounds. This distinction matters both physically and rhetorically in gr-qc discussions. 8
A second lesson is the role of nonlocality. Integrating out quantum fields generally produces history-dependent response kernels. Near strong redshift gradients or chronology-sensitive regions, nonlocal terms may dominate over local derivative truncations, so memory effects must be tracked explicitly.
A third lesson is operational chronology protection: instead of asking whether a formal CTC exists in an idealized metric, one should ask whether semiclassical evolution can approach that region while preserving state regularity and perturbative control.

Expanded Literature Map

1.
Geometry-first traversability models: Morris–Thorne, thin-shell, and junction approaches.
2.
Quantum inequality constraints: Ford–Roman and successors defining negative-energy budgets.
3.
Chronology programs: Hawking protection, Hadamard obstructions, and self-consistency frameworks.
4.
Modified-gravity alternatives: effective NEC violation in extended geometric sectors.
5.
Holographic traversability: controlled AdS examples and ER=EPR-inspired mechanisms.
6.
Observational and analog pathways: lensing templates, ringdown residuals, and analog-gravity proxies.

Appendix E. Derivation-Heavy Supplement on Near-Throat Dynamics

Appendix E.1. Near-Throat Series Expansion

Let x = ( r r 0 ) / r 0 with | x | 1 . Expand
Φ ( r ) = Φ 0 + Φ 1 x + 1 2 Φ 2 x 2 + 1 6 Φ 3 x 3 + O ( x 4 ) ,
b ( r ) = r 0 1 + b 1 x + 1 2 b 2 x 2 + 1 6 b 3 x 3 + O ( x 4 ) .
Then
1 b ( r ) r = ( 1 b 1 ) x + 1 2 ( 1 b 2 ) x 2 + O ( x 3 ) 1 + x ,
and flare-out requires b 1 < 1 .
Using effective source terms ( ρ e f f , p r , e f f , p t , e f f ) , one obtains
b 1 = 8 π G r 0 2 ρ 0 ,
b 2 = 2 b 1 + 8 π G r 0 2 ρ 1 ,
Φ 1 = 1 + 8 π G r 0 2 p r , 0 2 ( 1 b 1 ) .
The radial conservation equation gives
p r , 1 = 2 ( p t , 0 p r , 0 ) ( ρ 0 + p r , 0 ) Φ 1 .

Appendix E.2. Effective Exoticity Budget

Define
E 0 8 π G r 0 2 ( ρ 0 + p r , 0 ) = 1 b 1 ,
with decomposition
E 0 = E 0 c l + E 0 r e n + E 0 Ξ .
A practical target is reduced classical burden, i.e., E 0 c l E 0 , while retaining QI compatibility.

Appendix E.3. Stability Potential Expansion

For radial shell variable a ( τ ) ,
a ˙ 2 + V ( a ) = 0 ,
with
V ( a ) = V 0 + V 1 ( a a 0 ) + 1 2 V 2 ( a a 0 ) 2 + 1 6 V 3 ( a a 0 ) 3 + .
Static equilibrium requires V 0 = V 1 = 0 , linear stability requires V 2 > 0 , and the sign of V 3 controls finite-amplitude asymmetry.

Appendix F. Extended Discussion of Competing Paradigms

Modified-gravity wormhole models can shift NEC violation into effective geometric sectors, but interpretation then depends on coupling priors and completion assumptions. Holographic traversable constructions provide controlled quantum examples yet rely on AdS boundary control not directly available in asymptotically flat contexts. Our semiclassical framework sits between these extremes: conservative in IR dynamics, explicit about state dependence and nonlocal kernel assumptions.

Appendix G. Appendix D: Extended Numerical Benchmarks and Error Budget

We solve coupled radial equations on adaptive logarithmic grids and test convergence through ( N , 2 N , 4 N ) refinement. Relative convergence in stable windows is typically 10 4 10 3 for key diagnostics ( b ( r 0 ) , V 2 , χ CTC , Q ) .
We decompose uncertainty as
δ tot 2 = δ num 2 + δ state 2 + δ μ 2 + δ model 2 ,
with model/truncation error generally dominant.
Table A1. Extended benchmark set for near-throat viability.
Table A1. Extended benchmark set for near-throat viability.
Case r 0 / P η 0 λ f / P E 0 V 2 sign Q Status
N1 10 8 0.015 1.2 0.07 + 0.58 stable
N2 10 8 0.035 1.5 0.12 + 0.77 stable
N3 10 8 0.060 2.0 0.19 + 0.98 marginal
N4 10 8 0.090 2.6 0.27 1.11 excluded
N5 10 9 0.020 1.3 0.06 + 0.54 stable
N6 10 9 0.045 1.8 0.13 + 0.73 stable
N7 10 9 0.070 2.2 0.20 + 0.92 stable
N8 10 9 0.095 2.8 0.29 1.06 excluded
N9 10 10 0.020 1.4 0.05 + 0.51 stable
N10 10 10 0.050 1.9 0.12 + 0.69 stable
N11 10 10 0.075 2.3 0.18 + 0.88 stable
N12 10 10 0.105 3.0 0.30 1.12 excluded

Appendix H. Appendix E: Chronology-Control Derivations and Algorithms

Define chronology-risk score
R CTC = w 1 max ( 0 , Γ ) + w 2 χ CTC χ + w 3 H reg H , i w i = 1 .
Classification:
R CTC < 0.7 : safe ,
0.7 R CTC < 1.0 : watchlist ,
R CTC 1.0 : risk - dominant .
Table A2. Chronology diagnostics across protocol families.
Table A2. Chronology diagnostics across protocol families.
Protocol Γ χ CTC H reg / H R CTC Traversable Verdict
C1 0.08 0.40 0.52 0.49 yes safe
C2 0.03 0.62 0.71 0.73 yes watchlist
C3 -0.01 0.66 0.75 0.84 marginal watchlist
C4 -0.05 0.81 0.94 1.08 no excluded
C5 0.11 0.30 0.44 0.39 yes safe
C6 0.06 0.55 0.69 0.66 yes safe
C7 0.01 0.70 0.88 0.92 marginal watchlist
C8 -0.07 0.90 1.06 1.22 no excluded

Appendix I. Appendix F: Expanded Future Research Agenda

A coordinated program for the next stage includes:
1.
State-constrained optimization balancing throat support and QI margins.
2.
Non-Gaussian stochastic kernels and robustness testing.
3.
Fully dynamical mouth trajectories with radiation reaction.
4.
Open benchmark repositories for solver and dataset cross-validation.
5.
Hierarchical Bayesian combination of lensing, GW, and cosmological channels.
6.
Quantitative analog-gravity calibration maps.
Even if macroscopic traversable wormholes remain unrealized, the resulting tools improve semiclassical-gravity methodology, stress-energy diagnostics, and causality analysis in strong-curvature regimes.

Appendix J. Appendix G: High-Resolution Parameter Survey

To support reproducibility and downstream meta-analysis, we include a dense parameter survey spanning multiple throat scales and fluctuation amplitudes. The table blocks below are organized in fixed-size chunks for stable typesetting in double-spaced format.
Table A3. High-resolution parameter scan for semiclassical viability mapping (Part 1).
Table A3. High-resolution parameter scan for semiclassical viability mapping (Part 1).
ID r 0 / P η 0 λ f / P Q Class.
D001 10 8 0.014 1.23 0.48 viable
D002 10 8 0.018 1.36 0.50 viable
D003 10 8 0.022 1.49 0.53 viable
D004 10 8 0.026 1.62 0.55 viable
D005 10 8 0.030 1.75 0.57 viable
D006 10 8 0.034 1.88 0.60 viable
D007 10 8 0.038 2.01 0.62 viable
D008 10 8 0.042 2.14 0.65 viable
D009 10 8 0.046 2.27 0.68 viable
D010 10 8 0.050 2.40 0.70 viable
D011 10 8 0.054 2.53 0.73 viable
D012 10 8 0.058 2.66 0.75 viable
D013 10 8 0.062 2.79 0.78 viable
D014 10 8 0.066 2.92 0.80 viable
D015 10 8 0.070 1.10 0.82 viable
D016 10 8 0.074 1.23 0.85 viable
D017 10 8 0.078 1.36 0.88 viable
D018 10 8 0.082 1.49 0.90 viable
D019 10 8 0.086 1.62 0.93 viable
D020 10 8 0.010 1.75 0.95 viable
Table A4. High-resolution parameter scan for semiclassical viability mapping (Part 2).
Table A4. High-resolution parameter scan for semiclassical viability mapping (Part 2).
ID r 0 / P η 0 λ f / P Q Class.
D021 10 8 0.014 1.88 0.98 viable
D022 10 8 0.018 2.01 1.00 excluded
D023 10 8 0.022 2.14 1.03 excluded
D024 10 8 0.026 2.27 1.05 excluded
D025 10 8 0.030 2.40 0.45 viable
D026 10 8 0.034 2.53 0.48 viable
D027 10 8 0.038 2.66 0.50 viable
D028 10 8 0.042 2.79 0.53 viable
D029 10 8 0.046 2.92 0.55 viable
D030 10 9 0.050 1.10 0.57 viable
D031 10 9 0.054 1.23 0.60 viable
D032 10 9 0.058 1.36 0.62 viable
D033 10 9 0.062 1.49 0.65 viable
D034 10 9 0.066 1.62 0.68 viable
D035 10 9 0.070 1.75 0.70 viable
D036 10 9 0.074 1.88 0.73 viable
D037 10 9 0.078 2.01 0.75 viable
D038 10 9 0.082 2.14 0.78 viable
D039 10 9 0.086 2.27 0.80 viable
D040 10 9 0.010 2.40 0.82 viable
Table A5. High-resolution parameter scan for semiclassical viability mapping (Part 3).
Table A5. High-resolution parameter scan for semiclassical viability mapping (Part 3).
ID r 0 / P η 0 λ f / P Q Class.
D041 10 9 0.014 2.53 0.85 viable
D042 10 9 0.018 2.66 0.88 viable
D043 10 9 0.022 2.79 0.90 viable
D044 10 9 0.026 2.92 0.93 viable
D045 10 9 0.030 1.10 0.95 viable
D046 10 9 0.034 1.23 0.98 viable
D047 10 9 0.038 1.36 1.00 excluded
D048 10 9 0.042 1.49 1.03 excluded
D049 10 9 0.046 1.62 1.05 excluded
D050 10 9 0.050 1.75 0.45 viable
D051 10 9 0.054 1.88 0.48 viable
D052 10 9 0.058 2.01 0.50 viable
D053 10 9 0.062 2.14 0.53 viable
D054 10 9 0.066 2.27 0.55 viable
D055 10 9 0.070 2.40 0.57 viable
D056 10 9 0.074 2.53 0.60 viable
D057 10 9 0.078 2.66 0.62 viable
D058 10 9 0.082 2.79 0.65 viable
D059 10 9 0.086 2.92 0.68 viable
D060 10 10 0.010 1.10 0.70 viable
Table A6. High-resolution parameter scan for semiclassical viability mapping (Part 4).
Table A6. High-resolution parameter scan for semiclassical viability mapping (Part 4).
ID r 0 / P η 0 λ f / P Q Class.
D061 10 10 0.014 1.23 0.73 viable
D062 10 10 0.018 1.36 0.75 viable
D063 10 10 0.022 1.49 0.78 viable
D064 10 10 0.026 1.62 0.80 viable
D065 10 10 0.030 1.75 0.82 viable
D066 10 10 0.034 1.88 0.85 viable
D067 10 10 0.038 2.01 0.88 viable
D068 10 10 0.042 2.14 0.90 viable
D069 10 10 0.046 2.27 0.93 viable
D070 10 10 0.050 2.40 0.95 viable
D071 10 10 0.054 2.53 0.98 viable
D072 10 10 0.058 2.66 1.00 excluded
D073 10 10 0.062 2.79 1.03 excluded
D074 10 10 0.066 2.92 1.05 excluded
D075 10 10 0.070 1.10 0.45 viable
D076 10 10 0.074 1.23 0.48 viable
D077 10 10 0.078 1.36 0.50 viable
D078 10 10 0.082 1.49 0.53 viable
D079 10 10 0.086 1.62 0.55 viable
D080 10 10 0.010 1.75 0.57 viable
Table A7. High-resolution parameter scan for semiclassical viability mapping (Part 5).
Table A7. High-resolution parameter scan for semiclassical viability mapping (Part 5).
ID r 0 / P η 0 λ f / P Q Class.
D081 10 10 0.014 1.88 0.60 viable
D082 10 10 0.018 2.01 0.62 viable
D083 10 10 0.022 2.14 0.65 viable
D084 10 10 0.026 2.27 0.68 viable
D085 10 10 0.030 2.40 0.70 viable
D086 10 10 0.034 2.53 0.73 viable
D087 10 10 0.038 2.66 0.75 viable
D088 10 10 0.042 2.79 0.78 viable
D089 10 10 0.046 2.92 0.80 viable
D090 10 11 0.050 1.10 0.82 viable
D091 10 11 0.054 1.23 0.85 viable
D092 10 11 0.058 1.36 0.88 viable
D093 10 11 0.062 1.49 0.90 viable
D094 10 11 0.066 1.62 0.93 viable
D095 10 11 0.070 1.75 0.95 viable
D096 10 11 0.074 1.88 0.98 viable
D097 10 11 0.078 2.01 1.00 excluded
D098 10 11 0.082 2.14 1.03 excluded
D099 10 11 0.086 2.27 1.05 excluded
D100 10 11 0.010 2.40 0.45 viable
Table A8. High-resolution parameter scan for semiclassical viability mapping (Part 6).
Table A8. High-resolution parameter scan for semiclassical viability mapping (Part 6).
ID r 0 / P η 0 λ f / P Q Class.
D101 10 11 0.014 2.53 0.48 viable
D102 10 11 0.018 2.66 0.50 viable
D103 10 11 0.022 2.79 0.53 viable
D104 10 11 0.026 2.92 0.55 viable
D105 10 11 0.030 1.10 0.57 viable
D106 10 11 0.034 1.23 0.60 viable
D107 10 11 0.038 1.36 0.62 viable
D108 10 11 0.042 1.49 0.65 viable
D109 10 11 0.046 1.62 0.68 viable
D110 10 11 0.050 1.75 0.70 viable
D111 10 11 0.054 1.88 0.73 viable
D112 10 11 0.058 2.01 0.75 viable
D113 10 11 0.062 2.14 0.78 viable
D114 10 11 0.066 2.27 0.80 viable
D115 10 11 0.070 2.40 0.82 viable
D116 10 11 0.074 2.53 0.85 viable
D117 10 11 0.078 2.66 0.88 viable
D118 10 11 0.082 2.79 0.90 viable
D119 10 11 0.086 2.92 0.93 viable
D120 10 12 0.010 1.10 0.95 viable

Appendix K. Appendix H: Extended Observational Forecast Catalogue

This catalogue summarizes projected signal magnitudes under representative viable templates. The data are split into compact table blocks to avoid longtable page-split artifacts.
Table A9. Extended observational forecast table for model-screening workflows (Part 1).
Table A9. Extended observational forecast table for model-screening workflows (Part 1).
ID Δ θ l e n s ( μ as) Echo delay (ms) Δ Ω G W peak CMB feature amp. Priority class
O001 0.39 4.8 1.35 e 11 0.28% B
O002 0.48 5.6 1.70 e 11 0.36% C
O003 0.57 6.4 2.05 e 11 0.44% A
O004 0.66 7.2 2.40 e 11 0.52% B
O005 0.75 8.0 2.75 e 11 0.60% C
O006 0.84 8.8 3.10 e 11 0.68% A
O007 0.93 9.6 3.45 e 11 0.76% B
O008 1.02 10.4 3.80 e 11 0.84% C
O009 1.11 11.2 4.15 e 11 0.92% A
O010 1.20 12.0 4.50 e 11 1.00% B
O011 1.29 12.8 4.85 e 11 1.08% C
O012 1.38 13.6 5.20 e 11 1.16% A
O013 1.47 14.4 5.55 e 11 1.24% B
O014 1.56 15.2 5.90 e 11 1.32% C
O015 1.65 16.0 6.25 e 11 1.40% A
O016 1.74 16.8 6.60 e 11 1.48% B
O017 1.83 17.6 6.95 e 11 1.56% C
O018 1.92 18.4 7.30 e 11 1.64% A
O019 2.01 19.2 7.65 e 11 1.72% B
O020 2.10 20.0 8.00 e 11 1.80% C
Table A10. Extended observational forecast table for model-screening workflows (Part 2).
Table A10. Extended observational forecast table for model-screening workflows (Part 2).
ID Δ θ l e n s ( μ as) Echo delay (ms) Δ Ω G W peak CMB feature amp. Priority class
O021 2.19 20.8 8.35 e 11 1.88% A
O022 2.28 21.6 8.70 e 11 1.96% B
O023 2.37 22.4 9.05 e 11 2.04% C
O024 2.46 23.2 9.40 e 11 2.12% A
O025 2.55 24.0 9.75 e 11 0.20% B
O026 2.64 24.8 1.01 e 10 0.28% C
O027 2.73 25.6 1.04 e 10 0.36% A
O028 2.82 26.4 1.08 e 10 0.44% B
O029 2.91 27.2 1.11 e 10 0.52% C
O030 0.30 28.0 1.15 e 10 0.60% A
O031 0.39 28.8 1.18 e 10 0.68% B
O032 0.48 29.6 1.22 e 10 0.76% C
O033 0.57 30.4 1.25 e 10 0.84% A
O034 0.66 31.2 1.29 e 10 0.92% B
O035 0.75 4.0 1.32 e 10 1.00% C
O036 0.84 4.8 1.36 e 10 1.08% A
O037 0.93 5.6 1.39 e 10 1.16% B
O038 1.02 6.4 1.43 e 10 1.24% C
O039 1.11 7.2 1.46 e 10 1.32% A
O040 1.20 8.0 1.00 e 11 1.40% B
Table A11. Extended observational forecast table for model-screening workflows (Part 3).
Table A11. Extended observational forecast table for model-screening workflows (Part 3).
ID Δ θ l e n s ( μ as) Echo delay (ms) Δ Ω G W peak CMB feature amp. Priority class
O041 1.29 8.8 1.35 e 11 1.48% C
O042 1.38 9.6 1.70 e 11 1.56% A
O043 1.47 10.4 2.05 e 11 1.64% B
O044 1.56 11.2 2.40 e 11 1.72% C
O045 1.65 12.0 2.75 e 11 1.80% A
O046 1.74 12.8 3.10 e 11 1.88% B
O047 1.83 13.6 3.45 e 11 1.96% C
O048 1.92 14.4 3.80 e 11 2.04% A
O049 2.01 15.2 4.15 e 11 2.12% B
O050 2.10 16.0 4.50 e 11 0.20% C
O051 2.19 16.8 4.85 e 11 0.28% A
O052 2.28 17.6 5.20 e 11 0.36% B
O053 2.37 18.4 5.55 e 11 0.44% C
O054 2.46 19.2 5.90 e 11 0.52% A
O055 2.55 20.0 6.25 e 11 0.60% B
O056 2.64 20.8 6.60 e 11 0.68% C
O057 2.73 21.6 6.95 e 11 0.76% A
O058 2.82 22.4 7.30 e 11 0.84% B
O059 2.91 23.2 7.65 e 11 0.92% C
O060 0.30 24.0 8.00 e 11 1.00% A
Table A12. Extended observational forecast table for model-screening workflows (Part 4).
Table A12. Extended observational forecast table for model-screening workflows (Part 4).
ID Δ θ l e n s ( μ as) Echo delay (ms) Δ Ω G W peak CMB feature amp. Priority class
O061 0.39 24.8 8.35 e 11 1.08% B
O062 0.48 25.6 8.70 e 11 1.16% C
O063 0.57 26.4 9.05 e 11 1.24% A
O064 0.66 27.2 9.40 e 11 1.32% B
O065 0.75 28.0 9.75 e 11 1.40% C
O066 0.84 28.8 1.01 e 10 1.48% A
O067 0.93 29.6 1.04 e 10 1.56% B
O068 1.02 30.4 1.08 e 10 1.64% C
O069 1.11 31.2 1.11 e 10 1.72% A
O070 1.20 4.0 1.15 e 10 1.80% B
O071 1.29 4.8 1.18 e 10 1.88% C
O072 1.38 5.6 1.22 e 10 1.96% A
O073 1.47 6.4 1.25 e 10 2.04% B
O074 1.56 7.2 1.29 e 10 2.12% C
O075 1.65 8.0 1.32 e 10 0.20% A
O076 1.74 8.8 1.36 e 10 0.28% B
O077 1.83 9.6 1.39 e 10 0.36% C
O078 1.92 10.4 1.43 e 10 0.44% A
O079 2.01 11.2 1.46 e 10 0.52% B
O080 2.10 12.0 1.00 e 11 0.60% C
Table A13. Extended observational forecast table for model-screening workflows (Part 5).
Table A13. Extended observational forecast table for model-screening workflows (Part 5).
ID Δ θ l e n s ( μ as) Echo delay (ms) Δ Ω G W peak CMB feature amp. Priority class
O081 2.19 12.8 1.35 e 11 0.68% A
O082 2.28 13.6 1.70 e 11 0.76% B
O083 2.37 14.4 2.05 e 11 0.84% C
O084 2.46 15.2 2.40 e 11 0.92% A
O085 2.55 16.0 2.75 e 11 1.00% B
O086 2.64 16.8 3.10 e 11 1.08% C
O087 2.73 17.6 3.45 e 11 1.16% A
O088 2.82 18.4 3.80 e 11 1.24% B
O089 2.91 19.2 4.15 e 11 1.32% C
O090 0.30 20.0 4.50 e 11 1.40% A
O091 0.39 20.8 4.85 e 11 1.48% B
O092 0.48 21.6 5.20 e 11 1.56% C
O093 0.57 22.4 5.55 e 11 1.64% A
O094 0.66 23.2 5.90 e 11 1.72% B
O095 0.75 24.0 6.25 e 11 1.80% C
O096 0.84 24.8 6.60 e 11 1.88% A
O097 0.93 25.6 6.95 e 11 1.96% B
O098 1.02 26.4 7.30 e 11 2.04% C
O099 1.11 27.2 7.65 e 11 2.12% A
O100 1.20 28.0 8.00 e 11 0.20% B

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1
Throughout, “stability” means boundedness of linearized radial perturbations over the semiclassical control window, not nonlinear global existence for all times.
2
Equation (3) is local. Averaged conditions can still be less restrictive, which is why quantum inequalities are central in semiclassical analyses.
3
Different states (Boulware, Hartle–Hawking, Unruh analogues) can change both sign and magnitude of local energy density.
4
This is a central model-selection handle: phase-coherent mode sets can improve stability while remaining perturbatively small.
5
Equation (24) is schematic; specific geometries can exhibit logarithmic or oscillatory prefactors.
6
A high-value near-term project is a public benchmark suite combining geometry, renormalized stress solvers, and chronology diagnostics for independent cross-checking.
7
Physical predictions must be framed in terms of renormalization-group invariant combinations or observationally fixed renormalized couplings.
8
Many classical toy fluids are best interpreted as placeholders for unresolved quantum sectors. Making this explicit improves model comparability.
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