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 longitudinal 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 Not peer reviewed.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.

CheungLLMKindling

N. Cheung, Kindling in neural systems: progressive adversarial sensitization during LLM alignment mirrors psychiatric progression. Scientific Reports (2026). Published online 14 August 2026. https://doi.org/10.1038/s41598-026-66139-3. A separate computational adaptation study; its tasks and protocol are not identified with the present mask process or clinical kindling.

Cheung068E

N. Cheung, 068e_kindling_v2.py. Complete version-2 source supplied for this analysis, undated. The header identifies the exported notebook 068E_Kindling_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:nesting, prop:harddiscontinuity, thm:parameterstability, thm:accuracystability, and prop:equaldensity. Different architectures and task laws are not automatically identified.

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 coherence, instruments, complete observational laws, and relative interpretive non-entailment. Its scalar and reduction carriers 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 inherited characteristic-coefficient 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: def:budget, lem:path, prop:counts, thm:ranking, thm:evaluation, prop:rng, thm:classicalboundary, prop:dynamic, thm:nodepilot, and prop:nontransfer. The present paper adds persistent structural state and feedback-aware certification.

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. The arXiv record lists Rodríguez-Rosario first.

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. Cited for operational history dependence after a causal break. Non-Markovianity does not by itself certify quantum memory.

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, instruments, trace distance, and diamond-norm interfaces.

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.

PyTorchArgsort

PyTorch Contributors, torch.argsort. Official PyTorch documentation. https://docs.pytorch.org/docs/main/generated/torch.argsort.html. The stable=True option preserves input order for equal values.

PyTorchRandom

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