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Source: paper_references, paper_reference_links, observed 2026-07-10T16:51:04.235933Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2607.07845.
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Source: paper_references, paper_reference_links, observed 2026-07-10T16:51:04.235933Z
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Pith citing papers itemized under the disclosed page cap.
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68 of 68 outbound references displayed
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks LeCun, I
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Geiger, S
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Becker, Y
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Atanasov, A
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Cohen, S
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Amari, Natural Gradient Works Efficiently in Learn- ing, Neural Computation10, 251 (1998)
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Martens, Deep learning via Hessian-free optimization, inProceedings of the 27th International Conference on International Conference on Machine Learning(Omni- press, 2010) p
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Hochreiter and J
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Unresolved cited work
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Foret, A
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Chaudhari, A
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Three Factors Influencing Minima in SGD
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks LeCun, J
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Hassibi and D
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Frantar, S
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Moosavi-Dezfooli, A
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Singla and S
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Garipov, P
Reference 22
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Weight-space symmetry in deep networks gives rise to permutation saddles, connected by equal-loss valleys across the loss landscape
Reference 23
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Ainsworth, J
Reference 24
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Unresolved cited work
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Empirical Analysis of the Hessian of Over-Parametrized Neural Networks
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Ghorbani, S
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Papyan, Measurements of Three-Level Hierarchical StructureintheOutliersintheSpectrumofDeepnetHes- sians, inProceedings of the 36th International Conference on Machine Learning, Vol
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Papyan, Traces of Class/Cross-Class Structure Per- vade Deep Learning Spectra, Journal of Machine Learn- ing Research21, 1 (2020)
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Arjevani and M
Reference 31
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Arjevani and M
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Pennington and P
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Karakida, S
Reference 34
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Karakida, S
Reference 35
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Emergent properties of the local geometry of neural loss landscapes
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Gradient Descent Happens in a Tiny Subspace
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Tanaka and D
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Marcotte, R
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Watanabe,Algebraic geometry and statistical learning theory, Vol
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Bernacchia, M
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Heskes, On “natural” learning and pruning in multi- layered perceptrons, Neural Computation12, 881 (2000)
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Kawaguchi, Deep Learning without Poor Local Min- ima, inAdvances in Neural Information Processing Sys- tems, Vol
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Karakida, S
Reference 54
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Krizhevsky,Learning multiple layers of features from tiny images, Tech
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Reference 56
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks independent compo- nents
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Observation 77a9a3a1-f990-4058-b503-15f3e43a5888 · outbound
Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Fukushima, Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position, Biological cybernetics36, 193 (1980)
Reference 59
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks LeCun, L
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks For all (k,n )∈{1,...,M}2, at least one of the two blocks in Eq
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks In this case one would naively obtainM2 generators
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks independent components
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Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks 15156–15172
Reference 68
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