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Source: paper_references, paper_reference_links, observed 2026-08-03T04:54:27.290302Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 100 of 233 outbound references and 0 inbound Pith citation observations for arXiv:2602.04078.
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Source: paper_references, paper_reference_links, observed 2026-08-03T04:54:27.290302Z
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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
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100 of 233 outbound references displayed
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Principles of Lipschitz continuity in neural networks Unresolved cited work
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Principles of Lipschitz continuity in neural networks Absil, R
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Principles of Lipschitz continuity in neural networks Amerehi and P
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Principles of Lipschitz continuity in neural networks Unresolved cited work
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Principles of Lipschitz continuity in neural networks Gemini: A Family of Highly Capable Multimodal Models
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Principles of Lipschitz continuity in neural networks Applebaum
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Principles of Lipschitz continuity in neural networks Arjovsky, A
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Principles of Lipschitz continuity in neural networks Arjovsky, S
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Principles of Lipschitz continuity in neural networks Unresolved cited work
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Principles of Lipschitz continuity in neural networks Aumann and Y
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Principles of Lipschitz continuity in neural networks Layer Normalization
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Principles of Lipschitz continuity in neural networks Unresolved cited work
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Principles of Lipschitz continuity in neural networks Bansal, X
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Principles of Lipschitz continuity in neural networks Unresolved cited work
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Principles of Lipschitz continuity in neural networks Unresolved cited work
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Principles of Lipschitz continuity in neural networks Behrmann, W
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Principles of Lipschitz continuity in neural networks Bereska and S
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Principles of Lipschitz continuity in neural networks Binder, G
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Principles of Lipschitz continuity in neural networks Unresolved cited work
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Principles of Lipschitz continuity in neural networks Brown, B
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Principles of Lipschitz continuity in neural networks Unresolved cited work
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Principles of Lipschitz continuity in neural networks Carlini and D
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Principles of Lipschitz continuity in neural networks Castin, P
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Principles of Lipschitz continuity in neural networks Unresolved cited work
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Principles of Lipschitz continuity in neural networks Chaudhari, A
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Principles of Lipschitz continuity in neural networks Chen and R
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Principles of Lipschitz continuity in neural networks Unresolved cited work
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Principles of Lipschitz continuity in neural networks Unresolved cited work
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Principles of Lipschitz continuity in neural networks Norm-preserving Orthogonal Permutation Linear Unit Activation Functions (OPLU)
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Principles of Lipschitz continuity in neural networks Chowdhery, S
Reference 31
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Principles of Lipschitz continuity in neural networks Cisse, P
Reference 32
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Principles of Lipschitz continuity in neural networks Unresolved cited work
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Principles of Lipschitz continuity in neural networks Unresolved cited work
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Principles of Lipschitz continuity in neural networks Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
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Principles of Lipschitz continuity in neural networks Coates, A
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Principles of Lipschitz continuity in neural networks Unresolved cited work
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Principles of Lipschitz continuity in neural networks Unresolved cited work
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Principles of Lipschitz continuity in neural networks Damian, E
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Principles of Lipschitz continuity in neural networks DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
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Principles of Lipschitz continuity in neural networks Devaguptapu, D
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Principles of Lipschitz continuity in neural networks Devlin, M.-W
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Principles of Lipschitz continuity in neural networks Unresolved cited work
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Principles of Lipschitz continuity in neural networks An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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Principles of Lipschitz continuity in neural networks Dugas, Y
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Principles of Lipschitz continuity in neural networks Dunford and J
Reference 46
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Principles of Lipschitz continuity in neural networks Edelman and N
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Principles of Lipschitz continuity in neural networks Elsken, J
Reference 48
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Principles of Lipschitz continuity in neural networks Ethics guidelines for trustworthy AI , 2019
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Principles of Lipschitz continuity in neural networks Regulation (EU) 2024/1689 of the european parliament and of the council on harmonised rules on artificial intelligence ( AI Act ), 2024
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Principles of Lipschitz continuity in neural networks Unresolved cited work
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Principles of Lipschitz continuity in neural networks Fazlyab, A
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Principles of Lipschitz continuity in neural networks Fazlyab, T
Reference 53
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Principles of Lipschitz continuity in neural networks Flatow and D
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Principles of Lipschitz continuity in neural networks Unresolved cited work
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Principles of Lipschitz continuity in neural networks Frenay and M
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Principles of Lipschitz continuity in neural networks Gamba, H
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Principles of Lipschitz continuity in neural networks Ghorbani, J
Reference 58
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Principles of Lipschitz continuity in neural networks Ghosh, H
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Principles of Lipschitz continuity in neural networks Golowich, A
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Principles of Lipschitz continuity in neural networks Gonon, N
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Principles of Lipschitz continuity in neural networks Goodfellow, J
Reference 63
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Principles of Lipschitz continuity in neural networks Goodfellow, Y
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Principles of Lipschitz continuity in neural networks Grosse and J
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Principles of Lipschitz continuity in neural networks Gulrajani, F
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Principles of Lipschitz continuity in neural networks Unresolved cited work
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Principles of Lipschitz continuity in neural networks Hein and M
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Principles of Lipschitz continuity in neural networks Hendrycks and T
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Principles of Lipschitz continuity in neural networks Gaussian Error Linear Units (GELUs)
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Principles of Lipschitz continuity in neural networks Hinton, N
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Principles of Lipschitz continuity in neural networks Hochreiter and J
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Principles of Lipschitz continuity in neural networks Ilyas, S
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Principles of Lipschitz continuity in neural networks Jastrzębski, Z
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Principles of Lipschitz continuity in neural networks Karatzas and S
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Principles of Lipschitz continuity in neural networks Khromov and S
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Principles of Lipschitz continuity in neural networks Adam: A Method for Stochastic Optimization
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