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Paper Citation Record · LEDGER

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity

As of 7 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 0 inbound Pith citation observations for arXiv:2607.05546.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.05546 v1

Coverage vector

measured 87 of 87 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T06:01:25.773672Z

measured 87 of 87 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

87 of 87 outbound references displayed

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  • verified fuzzy0
  • unresolved87
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External citation measurements

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Outbound references

Observation 3b49233f-ad1a-4318-b783-7914e2431cdb · outbound

This paper cites SIAM Journal on Mathematics of Data Science , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity SIAM Journal on Mathematics of Data Science , volume=

Reference 1

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:a0252d8f7d7436220abdb12e0abfb03de8e8a8f7249a3a590c3a63ac42acd423

Observation c7febc6b-e9b7-4893-b563-c8da80094880 · outbound

This paper cites Annals of Statistics , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Annals of Statistics , volume=

Reference 2

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:69ad107d1ae99c2249bba7f46904ab056c109e2e5cbd3172b0c6cf791758cf12

Observation 179c81bf-0628-42a2-8444-3c2ea13a3dbe · outbound

This paper cites CSIAM Transactions on Applied Mathematics , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity CSIAM Transactions on Applied Mathematics , volume=

Reference 3

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:bef9f68d3318bd4ee119262ebd37a240708d98921fd8a451de5b146c74d4b5f4

Observation f9486d02-6d28-4f91-80a9-873cae929042 · outbound

This paper cites Calculus of Variations and Partial Differential Equations , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Calculus of Variations and Partial Differential Equations , volume=

Reference 4

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Observation 11b4856d-30a6-4b69-9a0b-8439b10b7ce1 · outbound

This paper cites Conference on Learning Theory , pages=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Conference on Learning Theory , pages=

Reference 5

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Observation 69db82a0-cbf4-4a68-9be5-dce2674557e3 · outbound

This paper cites an unresolved cited work.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Unresolved cited work

Reference 6

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Observation 7a2f4af1-4aef-4847-aae0-7a2282041927 · outbound

This paper cites Journal of the ACM (JACM) , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Journal of the ACM (JACM) , volume=

Reference 7

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Observation 52a34dc3-beb8-48f1-aba9-648de6483217 · outbound

This paper cites University of California, Irvine , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity University of California, Irvine , volume=

Reference 8

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:283886fd3b421704ecc89bd5a4f93a19c96004ee5046d6701a8deed0f19698ea

Observation 9f147a7b-6bee-4313-ba1c-a11fa2632339 · outbound

This paper cites IEEE transactions on Information Theory , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity IEEE transactions on Information Theory , volume=

Reference 9

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Observation 201d1294-29c9-4c74-87f9-7e2dbf57d4f4 · outbound

This paper cites International Conference on Computational Learning Theory , pages=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity International Conference on Computational Learning Theory , pages=

Reference 10

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Observation 2205a953-cd30-488d-a986-b858188b0681 · outbound

This paper cites Advances in neural information processing systems , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Advances in neural information processing systems , volume=

Reference 11

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Observation 42a4dfc8-542b-4236-bb21-9c0f622fd338 · outbound

This paper cites The Thirty Seventh Annual Conference on Learning Theory , pages=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity The Thirty Seventh Annual Conference on Learning Theory , pages=

Reference 12

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Observation 30c40a14-7deb-43cd-b0ab-cee3e942f2dc · outbound

This paper cites Journal of Machine Learning Research , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Journal of Machine Learning Research , volume=

Reference 13

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Observation e2a272c4-704a-44af-bd55-980f2c819fa5 · outbound

This paper cites Constructive Approximation , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Constructive Approximation , volume=

Reference 14

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Observation 2b1dac58-48d6-4864-9228-3fe19d118404 · outbound

This paper cites Journal of Machine Learning Research , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Journal of Machine Learning Research , volume=

Reference 15

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Observation 9bbc3628-455a-4dcd-b64b-da73607b6beb · outbound

This paper cites Applied and Computational Harmonic Analysis , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Applied and Computational Harmonic Analysis , volume=

Reference 16

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Observation fac10248-51dd-4311-bf7b-8f386f5a5290 · outbound

This paper cites , author=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity , author=

Reference 17

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:b7eaac8bf3660e1da5bf55543ec579ed519353dffcf559a575b238d95afcc735

Observation cfb5485c-b07d-48ea-b42e-dbdc83564c44 · outbound

This paper cites Applied and Computational Harmonic Analysis , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Applied and Computational Harmonic Analysis , volume=

Reference 18

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Observation 00124186-0228-4bef-9825-19a78268fd58 · outbound

This paper cites Deep Networks are Reproducing Kernel Chains.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Deep Networks are Reproducing Kernel Chains

Reference 19

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Observation eb4174c5-7225-4dd8-a88e-2b3090256a96 · outbound

This paper cites Proceedings of the American Mathematical Society , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Proceedings of the American Mathematical Society , volume=

Reference 20

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Observation c9a8da62-3b7e-45fd-80e9-91b5c3100dee · outbound

This paper cites The universal approximation power of finite-width deep ReLU networks.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity The universal approximation power of finite-width deep ReLU networks

Reference 21

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Observation 1b109f5c-1eaf-4ed9-8065-6dea6e8f7605 · outbound

This paper cites Journal of machine learning research , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Journal of machine learning research , volume=

Reference 22

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:9e0a69b5ed72ff263fc44e35002ede65e253ccdc0b17b9cf7c18e9e8ad3cd5ab

Observation 0c0e1bfd-0f98-4bd2-8e6d-8e65acb2c0f8 · outbound

This paper cites International Conference on Learning Representations , year=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity International Conference on Learning Representations , year=

Reference 23

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:96f3869bc99c5106a4679f7ff61089be82af8e12d1a30d62cf3f33da8ea68c26

Observation e3592864-bdbe-4499-b54c-ef130c9fad4f · outbound

This paper cites Representation Costs in Data Science: Foundations and the Quasi-Banach Spaces of Deep Neural Networks.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Representation Costs in Data Science: Foundations and the Quasi-Banach Spaces of Deep Neural Networks

Reference 24

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:8e375aac7cc95fda5f06fd8c472c733582f1d73c955ad8be8fafd6730be4b5b8

Observation 99e2569b-fd00-4ae1-aa6d-989fc7b185f8 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Advances in Neural Information Processing Systems , volume=

Reference 25

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:18950b4f2e0557d2c6e1d192ea11da2f07e8526daa65a4b9974fa8bbb07aca04

Observation 42efefe4-93e2-4920-8949-97a188d37104 · outbound

This paper cites 1991 , publisher=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity 1991 , publisher=

Reference 26

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:c9b292b70dea1489fdc359b998d20d47501d5579d353e2515ef007d5cc7b1f5f

Observation 4ee781c1-d31c-4f9d-8cd8-62d0d7d68900 · outbound

This paper cites Bulletin of the American Mathematical Society , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Bulletin of the American Mathematical Society , volume=

Reference 27

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Observation e7d6d876-fa4a-44aa-967d-a03f33353d30 · outbound

This paper cites 2021 , publisher=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity 2021 , publisher=

Reference 28

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Observation 541c80ae-15f6-442e-8c26-40209a238de1 · outbound

This paper cites Studia Mathematica , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Studia Mathematica , volume=

Reference 29

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Observation 8960531c-9249-419c-9f59-6561c6bc1bb9 · outbound

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Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Unresolved cited work

Reference 30

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Observation 55c14eef-ea4a-4435-a165-5ed31051534e · outbound

This paper cites Proceedings of the American Mathematical Society , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Proceedings of the American Mathematical Society , volume=

Reference 31

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Observation a8110cfd-6f99-41e8-9e5f-2e2b9ac88d07 · outbound

This paper cites Conference on Learning Theory , pages=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Conference on Learning Theory , pages=

Reference 32

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Observation 19af0853-2a9d-482b-a437-d9641840c7b4 · outbound

This paper cites International Conference on Learning Representations , year=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity International Conference on Learning Representations , year=

Reference 33

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Observation cb573edf-c063-46fc-aa05-24e0054962f9 · outbound

This paper cites Conference on learning theory , pages=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Conference on learning theory , pages=

Reference 34

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Observation 6dc8c452-291c-4f34-b9ee-66accc680963 · outbound

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Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity 2009 , publisher=

Reference 35

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Observation 9872ebe0-dbd3-4c16-aea5-88115e30f2d0 · outbound

This paper cites Advances in neural information processing systems , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Advances in neural information processing systems , volume=

Reference 36

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Observation 8534a89a-0f78-4ef3-a106-e855d14e279c · outbound

This paper cites Proceedings of the 58th Annual ACM Symposium on Theory of Computing , pages=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Proceedings of the 58th Annual ACM Symposium on Theory of Computing , pages=

Reference 37

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Observation d1a61ce7-b351-438c-8f18-9e02ebd98a5d · outbound

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Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Acta numerica , volume=

Reference 38

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Observation 70cfd5a0-1a46-48e9-9d87-fbf821c98dc8 · outbound

This paper cites Neural networks , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Neural networks , volume=

Reference 39

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Observation dd8500f0-5f99-4294-86df-bab4f259f002 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Advances in Neural Information Processing Systems , volume=

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Observation 72d52335-dc48-4a7c-bacb-30758d6d120e · outbound

This paper cites Advances in neural information processing systems , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Advances in neural information processing systems , volume=

Reference 41

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Observation 144ce489-757a-419d-be0d-684e448db3c4 · outbound

This paper cites Applied and Computational Harmonic Analysis , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Applied and Computational Harmonic Analysis , volume=

Reference 42

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Observation a94012b6-722c-4a0e-9f27-1001b017f2c4 · outbound

This paper cites Conference on learning theory , pages=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Conference on learning theory , pages=

Reference 43

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:bab8b1928470987df50120006754758546668b7359b1e1587cc3b5004a4987ac

Observation 3e36f815-523f-4367-b739-521306feacd4 · outbound

This paper cites Advances in neural information processing systems , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Advances in neural information processing systems , volume=

Reference 44

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:44992592481c96c85e20939881cfed1441f4f438ee83e5c607b7853ad8d8a3fd

Observation 15938f9c-4598-4ce1-9ee5-3356423d092c · outbound

This paper cites International Conference on Computational Learning Theory , pages=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity International Conference on Computational Learning Theory , pages=

Reference 45

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:171403073a08a0a924cabfb664442e4ce5769aa5aff0c06e9b372331f9389601

Observation 563ab211-6b6e-429f-b77a-24911b5debd6 · outbound

This paper cites Journal of machine learning research , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Journal of machine learning research , volume=

Reference 46

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:c180937055194c3bf906155d81bf3aa47e0202fd401095d9a16850e74dd10538

Observation a7891f06-2c62-4688-90c3-4edd660ac00f · outbound

This paper cites 1977 , publisher=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity 1977 , publisher=

Reference 47

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:5cf48f6dd57d12a3c0a29cc99f2c0f7f9a49730d74cc76973471a513b3461601

Observation 2c12cfc9-e5a0-4689-9ba5-998509f82032 · outbound

This paper cites , publisher =.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity , publisher =

Reference 48

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:9d42f506e13204470da819eaedaaa5ac6f8f9043cf453e82cab4d0472fced4fe

Observation 63bf2d9a-2716-4181-8dc8-a8abba376e7a · outbound

This paper cites IEEE Transactions on Information Theory , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity IEEE Transactions on Information Theory , volume=

Reference 49

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:366e417ac50af627310064a52ce11e02f9aec87f830e960f9b27464bf49251af

Observation f8689e3c-93eb-40f0-8602-6c141ad8602e · outbound

This paper cites Computer Intensive Methods in Control and Signal Processing: The Curse of Dimensionality , pages=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Computer Intensive Methods in Control and Signal Processing: The Curse of Dimensionality , pages=

Reference 50

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:eb455d12db5100528fb42b5874b16a6cef918481df59cdfa37d02de2a5c947ca

Observation 7856a3e6-00ab-405b-8994-d76b7c39e048 · outbound

This paper cites Conference on learning theory , pages=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Conference on learning theory , pages=

Reference 51

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:acca8f37b88c7df82ad6bfc117ec68a9330c417f1664c6a3ca847a2f69281cf5

Observation 0aa0b29d-db0b-45ca-ad3a-0737b412f6fe · outbound

This paper cites Neural networks , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Neural networks , volume=

Reference 52

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:4c294c180d5e3b92f728d89e2fb4c3c41dec374461069138f72e353b239e6269

Observation ca06c092-fec3-4367-8b89-e86adb6ba55c · outbound

This paper cites Journal of Machine Learning Research , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Journal of Machine Learning Research , volume=

Reference 53

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:3649acd5249ab14ab54052dad883b355a6e60303323effc993fd6bd1614bba83

Observation a5de0f85-70bd-4b88-b394-0cf3f3e8aa43 · outbound

This paper cites Acta Mathematica , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Acta Mathematica , volume=

Reference 54

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:6a3db25e5073ece234c49570dd305d467b11d93582e0bb452d2d67d7b6fd6e67

Observation 571c2a77-2269-4b45-bdfe-3ef41fdc6a0e · outbound

This paper cites International Conference on Learning Representations (ICLR 2020) , year=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity International Conference on Learning Representations (ICLR 2020) , year=

Reference 55

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:bcf35afa1ca34e746f3a87524746c607b437c6d5d187773bc7c8cd0eb865b625

Observation e5a74f3e-8799-43e3-ab9a-c2897362bb42 · outbound

This paper cites IEEE Transactions on Information Theory , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity IEEE Transactions on Information Theory , volume=

Reference 56

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:3b69ac0074557914a5421db95f4ca425868f96595d31182ba9b8c6e6329929d6

Observation 916d646b-d79e-4bf0-8078-8cb7d017a4e4 · outbound

This paper cites Journal of Machine Learning Research , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Journal of Machine Learning Research , volume=

Reference 57

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:7aad8bda96c01748e8b8ccbd69184c552fce4295cfc4756118f1399158487300

Observation 6251b240-1b6f-497d-a9a2-a51b0f11ad3e · outbound

This paper cites Foundations of Computational Mathematics , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Foundations of Computational Mathematics , volume=

Reference 58

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:0208d7fdf5100f250aaffdfbe77457535c6489c297f08db662b1b4d056172bd6

Observation c9e132a0-b529-4362-ad97-bdfbe56e25ea · outbound

This paper cites an unresolved cited work.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Unresolved cited work

Reference 59

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:a5e4b37ca0c6e5d5a579ca952c0fc08c7234e98364172ba359eada7866f1da22

Observation e4019ca5-f9eb-439e-8b09-2f22cdad39cd · outbound

This paper cites Complexity, Statistical Risk, and Metric Entropy of Deep Nets Using Total Path Variation.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Complexity, Statistical Risk, and Metric Entropy of Deep Nets Using Total Path Variation

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:e568c970f13c1bc5cb20a10ce40a73c643da608b15f7df05f00c8a6bd8b1d116

Observation 3377b92f-5be4-4b2f-8f71-4b7bee2199c1 · outbound

This paper cites arXiv preprint arXiv:2410.06378 , year=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity arXiv preprint arXiv:2410.06378 , year=

Reference 61

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:a49cda150cb01ec8f3405588d46b1190cd2050aeff228a4e8769d36752f03343

Observation c18fac96-d452-4741-8bfd-48ec34ea1a2e · outbound

This paper cites Neural reproducing kernel Banach spaces and representer theorems for deep networks.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Neural reproducing kernel Banach spaces and representer theorems for deep networks

Reference 62

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:5f41b144fe7b5f17394ab6750b16833f42539527618cb108581c9ec8fa00662d

Observation 254fd966-c088-47b1-8d98-72b925f29fa0 · outbound

This paper cites Journal of Functional Analysis , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Journal of Functional Analysis , volume=

Reference 63

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:e59c9c563ae68890f1fe15ff49198774af0eee1d89d85da940e49c6d177d7e47

Observation 654fb494-1356-42f8-a06a-c49f1e603e3d · outbound

This paper cites Neural Networks , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Neural Networks , volume=

Reference 64

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:171a77b83de8fada81dc53329b472f99aa20f2cc6faede8c80c84fe7f460b847

Observation b36b7310-bf0b-4291-a968-11eb82af75a9 · outbound

This paper cites Constructive Approximation , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Constructive Approximation , volume=

Reference 65

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:5869b23eff15b3ff4e1450815b03568d53a5a62c70477b8faf47165c6d940aeb

Observation b90e73dc-cc07-424b-95cd-c99286254fef · outbound

This paper cites 1999 , publisher=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity 1999 , publisher=

Reference 66

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:e7b14abe8a6dfcd5d237318b0e3c650b6dc0bb9b9e487fa83597b220f0cc3bae

Observation 3bc68c82-a4bd-4b5e-a106-69934270d58d · outbound

This paper cites Oracle inequalities in empirical risk minimization and sparse recovery problems: Ecole D’Et.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Oracle inequalities in empirical risk minimization and sparse recovery problems: Ecole D’Et

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:0437bd4e19a901027379eb0377332370f173435712780452b39aff3400129eb6

Observation a632cd9b-2830-4ffb-a2d1-ae6df6f21148 · outbound

This paper cites Conference on learning theory , pages=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Conference on learning theory , pages=

Reference 68

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:43a6a0d3d406967939dcae8b73579c1f0c24d4eddb050e63158bd39643b2570b

Observation 506716e7-f981-42d1-8be6-95adbdacfb29 · outbound

This paper cites Bulletin of the American Mathematical Society , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Bulletin of the American Mathematical Society , volume=

Reference 69

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:7b308a0d498553dbc15867161908001bff1393996c237dd0113149ce7eb11420

Observation 770c1317-4b5c-4bac-9c51-9145fb5fe058 · outbound

This paper cites 2014 , publisher=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity 2014 , publisher=

Reference 70

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:7036cf5807df9629fb0cf2ad07b431cb013fc2b9ded2d4aaecf0facdb7be658a

Observation 14068184-168a-4073-8b51-cd5a4512173e · outbound

This paper cites Journal of the London Mathematical Society , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Journal of the London Mathematical Society , volume=

Reference 71

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:4a6140e257c1e8ff8a59eabe77ef3cd520e77b5795125561420f05b9118e804b

Observation f265706c-5e4c-4fc5-9fde-39f9e471e7ed · outbound

This paper cites Annals of Statistics , pages=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Annals of Statistics , pages=

Reference 72

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:747540cd3fd30cec1428ca87462e4f36b29e30e8c1beede65b486afff38d2afd

Observation a87b2c85-c26b-4085-99b8-2cbdcdb5e52f · outbound

This paper cites Israel Journal of Mathematics , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Israel Journal of Mathematics , volume=

Reference 73

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:e561b0a9394471f570e6139fd957610d894dd8de6076eee04c18d35ec94a9442

Observation c79b2ee1-d31b-4334-b9ca-6640bfcaa738 · outbound

This paper cites 1981 , publisher=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity 1981 , publisher=

Reference 74

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:b42cdb42c265da90b739daca84da90884eaa158b972fb8e3db60c7e4ed1dd710

Observation 3fdbb005-b728-4218-985f-a98a644fd8ce · outbound

This paper cites Journal of Approximation Theory , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Journal of Approximation Theory , volume=

Reference 75

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:a100ba56b75fa7b21fb24be529ec661534412b5fa91e884eebd3dcdcfd8a5b91

Observation f5578a20-06fb-4461-a493-be28ebe3d336 · outbound

This paper cites 1999 , publisher=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity 1999 , publisher=

Reference 76

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:9927797edc284ae3270c190cec33c8a9f41382aca55f8335cbda855e226b575c

Observation 23a6b8b2-d564-42a9-b903-5b4a9dc1c7b9 · outbound

This paper cites , year =.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity , year =

Reference 77

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:8a45b8f00bec9a0e9e4598e2bec40bf7c9e8e34fa2e62fe3dc9d9ed3e7e2d4e3

Observation 63ebbd19-bee6-42eb-a6d9-fe658e9dae68 · outbound

This paper cites 2018 , publisher=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity 2018 , publisher=

Reference 78

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:4084223c12809e1d15465a12ea154c58a1f4e65e27985a975f009f14db2219b4

Observation 1c803686-665b-48c7-bb07-bcf85aed08f0 · outbound

This paper cites 2005 , publisher=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity 2005 , publisher=

Reference 79

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:74c7fbe962e6907216702f068a65633992c73959e2c5905b1ec8adf77918403f

Observation aa8584ca-cfec-403d-889f-ab0a9cd22850 · outbound

This paper cites 2006 , publisher=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity 2006 , publisher=

Reference 80

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:13ca06eb71031eb843dbb2e75775894bd282f6ba3fe54b42c0eafe96a28b50bc

Observation e79048e5-451f-47a3-bf1e-27f33b3b7e84 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Advances in Neural Information Processing Systems , volume=

Reference 81

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no resolver link, observed 2026-07-11T06:01:25.773672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:3977384c0f6c4056d4a8f988ddcfa52380e636b1498a3ac1abc0e1a7698a37f3

Observation 6913b2d9-2e28-4b04-bc89-547930ff2e01 · outbound

This paper cites Journal of Approximation Theory , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Journal of Approximation Theory , volume=

Reference 82

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no resolver link, observed 2026-07-11T06:01:25.773672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:87ba2aa05f9328c51f3010ac83b6c4e5a0798019a18ff1e7c6ff1cb25710b506

Observation 2045f070-0aee-46c8-be4a-24feb367f319 · outbound

This paper cites 2000 , publisher=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity 2000 , publisher=

Reference 83

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no resolver link, observed 2026-07-11T06:01:25.773672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:e28b8c237cb676b2e215ef20d903a83e270b867490f0b44c839961670fb4bc72

Observation c19a0d79-96ff-42a7-b124-619c3f8a9e29 · outbound

This paper cites 2007 , publisher=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity 2007 , publisher=

Reference 84

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no resolver link, observed 2026-07-11T06:01:25.773672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:659b4ed8f1b2e15ea4cf6e99fa78bbd2b5b40f03b617678540af76eb44ff3fb7

Observation d93c01ec-4548-4f9d-9bb7-e532d65c59aa · outbound

This paper cites 2017 , publisher=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity 2017 , publisher=

Reference 85

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no resolver link, observed 2026-07-11T06:01:25.773672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:644f445dc1627777158d3bf0d40dd4d4d784acf57ebf89e55e78a752bfb64b75

Observation 8b2a1e9d-ac4c-4099-b75c-0714678dd05c · outbound

This paper cites Advances in neural information processing systems , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Advances in neural information processing systems , volume=

Reference 86

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no resolver link, observed 2026-07-11T06:01:25.773672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:0ad4b773c6a6cb0f4ff0cc5aa9eaaf2c4a4f6110b85f62355b623c8ee1058374

Observation 29132d20-2c76-4628-9c5d-c8ae478fa1af · outbound

This paper cites Journal of Complexity , volume=.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Journal of Complexity , volume=

Reference 87

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no resolver link, observed 2026-07-11T06:01:25.773672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:78222cd85f41db9491b67557646c49a3cd543ccaa9021489f811157508bad433

Pith citing papers

No inbound Pith citation observations are available.