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Paper Citation Record · LEDGER

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

As of 20 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 2026-08-20T06:33:59.587034+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=sha256:9ba9465e4b11e825687edc6f5c3a19af8e3ace382a777488af841e1d2726fee1

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:ee464ee64526b1d54065af7dc226f9938670b12f10f214b46055f7a7248c2a58

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:a58a1c9aa6c2d869588100feb9428cdbc57db7da5d607d2ccdaa168b1be48d8e

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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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:427afe66d383af944ad31c4d529e104381a1ea55eb6f2ab78f92ec4372abe207

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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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=sha256:908b8eed4650d700705462ef245fbc60cd2c5fa884abcf8e757d9c8fd3bac759

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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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:f23bc4dd9c2aed88305674bed705da390d382bfedb58af4830743d1961ecfced

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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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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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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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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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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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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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:9645df490e854f08925cdbecb13b676e481e5e4ca46c49f4ce894d2d088a2b04

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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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:cf5b69ca50cb97b237da3cf468d8e9d3d5852861ee1c11d04f1889dd67b4c45a

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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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:1293da85060e5e12f3fbad8f3f35d2c86ffdc969d84c43e85d244a648be114d6

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=sha256:8fe92a3bb525cf6344193e3b426a0b562525a4f21a5e0245a87255f546ee3920

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=sha256:83ecc132d65af81e2d7d2c68fcb315f6e82b98dc97bad9fce6d9101234dd5364

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:a677182a206b661196663ab46551091f3da6bfbf13b64196d7d23f82420a444f

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:f24f36cd72cb0d71ac9468a3fb08c9a4032a90ae21913303ed9b35889ccd6dd3

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:dc2080d15fe39be2e92ff03322ac2fdd952829440db690790e7915950ff3327b

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:fe90e4bbbc16a4653336e2c19db81f9189a78d444f029d42925238edc25f8bae

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=sha256:8d2e6a1b1b45c23ec7156bfe3f7e16654f6c06771e565a7079e4a68055729368

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=sha256:2e409446ead810fb3b77e582a260c536a10133ae9dd989c7c61e96da57cd8809

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=sha256:1a295f026cb13164c9d2195aeda1e4bd26185cf9bfdffd1855fc41ca3a3f3099

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=sha256:7d3a291a65e2d70b2c3af0246cda409d583d0401144c266a736bef8546917f65

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:aaeda07744e1eb60e46b2aecaa52a519f52dacb92fa9b40ef7b48ee07a327cc9

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:f4b7acb01b4e29a47689b275b2f3be0e06a2998e1afbffe1bccfe1dbfd69f93b

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=sha256:2b3d20e850a704f775ff5356afdf97b3c51ca78c79e19d2b04f5f1966072b131

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=sha256:52c760f7ac7115fa3f2e6fe6ac69c8e95580c77958e812bd0930859512696057

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=sha256:964e408c429980324c7347e0cebf170c1e7effbf0502d9f3fcc18800c963a0c0

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:a0ccdcbe4681108bddb6d54248248d898f08cb5dc894f46fe5896e7408ead0d2

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=sha256:382df96ff50587f87c6cd598003c86a1f1ede7eade81a29fe2369a921f8993c9

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

Reference 60

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:e524981fc60f8f2c1e25fa6c064ee04bade2f1eae0917a703a7f4fac74723c0b

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=sha256:7c144ca87b3a974610586a9dabe7b37ef9d65c913b609ba4121ac6c6e0bb4e30

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=sha256:096a0954c0c67645750847e747ba5c6569b44b7787c04b2f6b51e0894e423e53

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:bbba0f58e5e4abc2208194dac2a29da4177b67d127c96da83cf793461e3e4217

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=sha256:9aa628dd3986d6508ca3de5f074cd8417dd721a74453e75415733d6100c4efba

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=sha256:2db965b637c43638f084b7dccc69be6172811224fa08da376ff2625872cdc9ca

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=sha256:8dccb9a669308a32828d8a819f0fd75c39f3445316ea62edd506254f80deb74f

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

Reference 67

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source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:1d13e9becfd6d14131c37ecd5c7230c15c56890571f0768686ea3772481820e0

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=sha256:2e3066083adecaf6cf97a11a01c55078f22aa7c7aa807f767a6279489dc71440

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:ad8df11df8734afbb7f290cca04a215edbb591bfcc5ebfa9b271358b46411789

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=sha256:6ef6c9dfa665742b7057aec602525a81b71909b05ed3c51effaf94622a4cb793

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:de7513fdf51d179cb64e16757b16022e9930d1f7a62d2b271ce697ba2dee1a11

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=sha256:1779d68e5c781b558baf1013b8f2aa2096b9741b2a7ec79eb9ecd6e13c2b462f

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=sha256:505c0807afcd52944e9158a93a4607b8d93f656a17b864ec4e5fa02087b70797

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=sha256:1d28fbc83033a54b03716e3d7cc765c24d526319db24dd0a60a0c6a73aedbd2d

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=sha256:019a4ae292cbb649d82d7781108f7cb1bf73dc0044c17cee35cf69b1414ad2d7

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=sha256:0dfd45d87a8cde72888308f685de01b56ab2696c091db9a56c77e025dc81030b

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=sha256:87ba571e847827d5c50ded143b3cf84836470393b43db0bcdf523701c64160e9

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:fabb1b7df91cf4f5277b73af1ae8063c014967e271f016e832a99cc7307a722b

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=sha256:9f138bcc427a556e0267880182375d201a0a632982bf023b2d5d847784b1502c

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:f700f33224ea360c18f1db1f589f761b755a9140cf62980a2a9cfeb0e86f5b6e

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=sha256:776d2cf180aba205eea9375cdfa3450ba3c680b3170f53c11655ef0529257661

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=sha256:2632dbaef60d4102de638bb42f68fda37802339f1a34546777516e279c5dd128

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=sha256:3dfca58fee4d09e4d574f2ede70fcca2a074b064d8ea0c51fbdf84848398e68c

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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unresolved
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:d3f9c0a745c3622fd4d5c4490c9c54abebf66004f419ffdcb740f41fa65efcda

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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unresolved
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=sha256:148474adcadcf146daba909ff1a1041ab2ec888791b8b1bc937ac4925d9d655a

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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unresolved
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=sha256:519ae9ef9bb689477b6e6684f5b9ae23c4541d5628abff7b61b5aa61810cad1a

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=sha256:73b003531840a3b4d23a80fb15bc2d13b3cb0fa4e9337a5665f3b3c7caa1340d

Pith citing papers

No inbound Pith citation observations are available.