References

CheungPruning

N. Cheung, Phased pruning in neural networks recapitulates selectivity–fragility trade-offs in brain development. Scientific Reports (2026). Published online 13 July 2026. https://doi.org/10.1038/s41598-026-62244-5. Computational motivation, not a universal density or biological correspondence theorem.

CheungModes

N. Cheung, Divergent mechanisms of antidepressant efficacy: a unified computational comparison of synaptogenesis, stabilization, and tonic inhibition in a model of depression. Cureus 18, no. 3 (2026), e105040. Published 11 March 2026. https://doi.org/10.7759/cureus.105040. No clinical ranking is imported as a mathematical premise.

CheungCliff

N. Cheung, The synaptic pruning cliff: threshold-like network fragility under internal stress and efficient recovery in a computational model of depression. Preprints.org, version 1, posted 13 January 2026. Not peer reviewed. https://doi.org/10.20944/preprints202601.0805.v1.

CheungOCD

N. Cheung, Structural synaptogenesis superior to functional modulation in a pruning-based recurrent network model of OCD. Frontiers in Computational Neuroscience 20 (2026), 1799705. Published 20 July 2026. https://doi.org/10.3389/fncom.2026.1799705. A separate computational task and model; not validation of the present probe battery or a clinical treatment hierarchy.

Cheung068G

N. Cheung, 068g_cognitive_impact_v2.py. Complete version-2 source supplied for this analysis, undated. Its header identifies the exported notebook 068G_Cognitive_Impact_v2.ipynb. The supplied snapshot defines the static audit. No executed reproduction or artifact checksum is asserted.

CheungPsy01A

N. Cheung, Psy01-A: Phased magnitude pruning in task-gated ReLU networks: cue certificates, stability, and conditional selectivity–fragility trade-offs. Undated manuscript, Psy01-A.tex, supplied in full. Relevant records include thm:cueobstruction, thm:globalstress, thm:parameterstability, thm:accuracystability, and prop:harddiscontinuity. Its architecture and perturbation interface are not identified with the present GRU.

CheungPsy02A

N. Cheung, Psy02-A: Conditional scalar-carrier bounds and operational separation: a mathematical framework for evaluating Orch-OR hypotheses. Undated manuscript, Psy02-A.tex, supplied in full. Relevant records concern dephasing, instruments, complete-record identification, and interpretive boundaries. Its scalar and reduction models are not imported here.

CheungPsy02B

N. Cheung, Psy02-B: Quantitative viability and identifiability of a branch-matched reduction pilot: complete records, collective mass energies, and a self-contained interface to the inherited analytic problem. Undated manuscript, Psy02-B-v2.tex, version 2, supplied in full. Relevant records: thm:process, thm:overlap, prop:dynamic, and thm:sampling. Its analytic I3/J2 and admission obligations remain outside this paper.

CheungPsy03A

N. Cheung, Psy03-A: Structural repair, noise adaptation, and dynamical modulation in pruned networks: intervention budgets, classical certificates, and a separately defined quantum extension. Undated manuscript, Psy03-A.tex, supplied in full. Relevant records: cor:stress, thm:ranking, thm:evaluation, prop:rng, thm:classicalboundary, prop:dynamic, and prop:nontransfer.

CheungPsy03B

N. Cheung, Psy03-B: Irreversible structural memory and threshold-triggered feedback in pruned networks: longitudinal certificates and a quantum–classical extension. Undated manuscript, Psy03-B-v1.tex, version 1, supplied in full. Relevant records: cor:capacity, prop:reset, thm:conditional, prop:fixeddesign, thm:paired, and thm:operationalmemory. Its feed-forward perturbation equation is not the present recurrent interface.

PyTorchGRU

PyTorch Contributors, GRUCell. Official PyTorch main documentation. https://docs.pytorch.org/docs/main/generated/torch.nn.modules.rnn.GRUCell.html. Cited for the reset-gated hidden affine convention, tensor dimensions, and GRU cell interface. The implementation version must be recorded in an executed reproduction.

Hoeffding

W. Hoeffding, Probability inequalities for sums of bounded random variables. Journal of the American Statistical Association 58, no. 301 (1963), 13–30. https://doi.org/10.1080/01621459.1963.10500830. Conditional applications fix the relevant history and preserve the stated boundedness and independence hypotheses.

FujiiNakajima

K. Fujii and K. Nakajima, Harnessing disordered-ensemble quantum dynamics for machine learning. Physical Review Applied 8 (2017), 024030. https://doi.org/10.1103/PhysRevApplied.8.024030. Earlier author manuscript: Harnessing disordered quantum dynamics for machine learning, arXiv:1602.08159v2 (2016). https://arxiv.org/abs/1602.08159v2. Cited as a quantum-reservoir precedent, not as an advantage theorem for the present pilot.

Whitfield

J. D. Whitfield, C. A. Rodríguez-Rosario, and A. Aspuru-Guzik, Quantum stochastic walks: a generalization of classical random walks and quantum walks. Physical Review A 81 (2010), 022323. https://doi.org/10.1103/PhysRevA.81.022323. https://arxiv.org/abs/0905.2942. The journal author order is used.

PollockMarkov

F. A. Pollock, C. Rodríguez-Rosario, T. Frauenheim, M. Paternostro, and K. Modi, Operational Markov condition for quantum processes. Physical Review Letters 120 (2018), 040405. https://doi.org/10.1103/PhysRevLett.120.040405. https://arxiv.org/abs/1801.09811. Operational history dependence is not automatically a quantum-memory resource.

PollockProcess

F. A. Pollock, C. Rodríguez-Rosario, T. Frauenheim, M. Paternostro, and K. Modi, Non-Markovian quantum processes: complete framework and efficient characterization. Physical Review A 97 (2018), 012127. https://doi.org/10.1103/PhysRevA.97.012127. https://arxiv.org/abs/1512.00589.

GKS

V. Gorini, A. Kossakowski, and E. C. G. Sudarshan, Completely positive dynamical semigroups of $N$-level systems. Journal of Mathematical Physics 17 (1976), 821–825. https://doi.org/10.1063/1.522979.

Lindblad

G. Lindblad, On the generators of quantum dynamical semigroups. Communications in Mathematical Physics 48 (1976), 119–130. https://doi.org/10.1007/BF01608499.

Watrous

J. Watrous, The Theory of Quantum Information. Cambridge University Press, 2018. Author's manuscript: https://cs.uwaterloo.ca/ watrous/TQI/. Cited for finite channels, measurements, trace distance, state discrimination, and reference-stable channel norms.

PyTorchRandom

PyTorch Contributors, Reproducibility. Official PyTorch documentation. https://docs.pytorch.org/docs/main/notes/randomness.html. Environment- and version-specific software guidance, not a proof of statistical independence or biological validity.