Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T15:14:01.621776Z
Paper Citation Record · LEDGER
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View
As of 16 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 0 inbound Pith citation observations for arXiv:2608.01357.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
83 of 83 outbound references displayed
- verified exact3
- verified fuzzy31
- unresolved49
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 49f2c36c-921d-4302-863f-764703f74f2b · outbound
This paper cites Abramowitz and I.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Abramowitz and I
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:14:01.327022Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb493bb1-99fa-4634-ae96-c539f15f56cd · outbound
This paper cites Arcang´ eli, M.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Arcang´ eli, M
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:14:01.331877Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc80e775-9edb-482f-837a-07f2aaedb4de · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:14:01.335344Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb612364-5c56-4cd6-b7af-a30efbe646ad · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.600939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 432e34ec-3e82-42f5-aa55-808ceb826411 · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.591124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b304a560-0541-49d1-9630-05cbce741c06 · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.580409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 78e63a44-d7ef-4bbb-b760-a2763ff17231 · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.567753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0f4d581e-588f-4259-9b4b-157d2978c66e · outbound
This paper cites Bathe,Finite Element Procedures, Klaus-Jurgen Bathe, 2006.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Bathe,Finite Element Procedures, Klaus-Jurgen Bathe, 2006
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:02.557389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 91bffc4f-8e36-45e4-b17f-0fcf0f823a55 · outbound
This paper cites Bengio, Learning deep architectures for AI,Foundations and Trends in Machine Learning, 2(1) (2009), 1–127.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Bengio, Learning deep architectures for AI,Foundations and Trends in Machine Learning, 2(1) (2009), 1–127
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:02.546214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0874f619-755f-4bb2-ab29-7ef1529c27ef · outbound
This paper cites Bertoluzza, R.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Bertoluzza, R
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:02.529703Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9eb64b52-bada-473a-a32e-5f3ce5fce74c · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.517028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a3beac65-126c-47e4-8122-7671095365f0 · outbound
This paper cites Bungartz and M.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Bungartz and M
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:02.506858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9d992c1b-6f3c-4aba-a953-f2ee9ee09002 · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.495938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e31af6f5-495d-4250-bae6-cb834578c840 · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.485238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3da51618-5032-4bdc-b2ef-f07c6c534667 · outbound
This paper cites Cucker and S.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Cucker and S
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:02.474657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ce6f78d4-c713-4027-aeaa-af8ab35c5b18 · outbound
This paper cites Cucker and D.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Cucker and D
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:02.464170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 67b7d4be-7d48-494c-82c1-324a9f40834e · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.453369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 65b25045-49e6-4a45-b957-a79666121f1c · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.441610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 18e50840-26cd-452c-8c31-258a9bb178dd · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.429060Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 234a1ce5-83b2-4fcc-aa50-be09e6108b75 · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.415434Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 35cd0f17-ca8b-455d-a4b7-fbdd807d206e · outbound
This paper cites Eldan and O.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Eldan and O
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:02.401856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e4c352a5-4884-4ea2-99af-e2fb24fce5fa · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.386958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 921b60e6-fe0b-4edb-a736-8314e805592a · outbound
This paper cites Harvey, C.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Harvey, C
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:02.374772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 72503e03-0bc8-4b26-aee1-15273f14d9a6 · outbound
This paper cites Expressivity and Approximation Properties of Deep Neural Networks with ReLU$^k$ Activation.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Expressivity and Approximation Properties of Deep Neural Networks with ReLU$^k$ Activation
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:14:01.405600Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b299876-25f1-4f9a-a880-05546e1fd5f5 · outbound
This paper cites Deep Neural Networks with ReLU-Sine-Exponential Activations Break Curse of Dimensionality in Approximation on H\"older Class.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Deep Neural Networks with ReLU-Sine-Exponential Activations Break Curse of Dimensionality in Approximation on H\"older Class
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T15:14:01.808289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fdbcd207-6981-46ef-bece-9e25c408f69b · outbound
This paper cites Jin,The Finite Element Method in Electromagnetics, John Wiley & Sons, 2015.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Jin,The Finite Element Method in Electromagnetics, John Wiley & Sons, 2015
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:02.363995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 37f440d2-64b3-4c77-8ec3-092a3058ced3 · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.350063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 51612a28-29df-44af-bfa8-726b88223c6e · outbound
This paper cites General superconvergence for kernel-based approximation.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View General superconvergence for kernel-based approximation
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:14:01.421626Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 547dbcdb-8f37-4772-a293-db9dcdb98c1a · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 29
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.337818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f91daaa0-0efe-4715-87cf-f6309431f1f5 · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.327705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0d1650f8-3bea-41de-92ee-33d426c8c839 · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.317285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation de464df2-eab5-4828-9c53-b2e57da3bee0 · outbound
This paper cites Koltchinskii, Rademacher penalties and structural risk minimization,IEEE Transactions on Information Theory,47(5) (2001), 1902–1914.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Koltchinskii, Rademacher penalties and structural risk minimization,IEEE Transactions on Information Theory,47(5) (2001), 1902–1914
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:02.307341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 85e85b82-c6ee-4f9c-960a-b38f408a5f26 · outbound
This paper cites K˚ urkov´ a and M.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View K˚ urkov´ a and M
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:02.296827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8581f05a-47a3-4315-9c6c-3b43e1373c38 · outbound
This paper cites K˚ urkov´ a and M.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View K˚ urkov´ a and M
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:02.285690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2c9c5dcb-cdd3-4d11-924e-043e9d948451 · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.274756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6a544930-f0a1-4d68-9b13-588da45883c4 · outbound
This paper cites Lewicki and G.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Lewicki and G
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:02.264547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f2e488af-be4d-4bf4-8feb-f3cc76c65946 · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 37
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.253574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c5ea7eb1-6caf-400b-bef6-48cb52c7f067 · outbound
This paper cites Integral Representations of Sobolev Spaces via ReLU$^k$ Activation Function and Optimal Error Estimates for Linearized Networks.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Integral Representations of Sobolev Spaces via ReLU$^k$ Activation Function and Optimal Error Estimates for Linearized Networks
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:14:01.456811Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00d8785d-b656-4506-ad9d-afdcc1454de9 · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.243401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a63f6124-7376-4db0-8c77-67da60dca8f2 · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.233101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 13da4122-bad2-43d6-ad42-1398cb662d67 · outbound
This paper cites Maiorov and A.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Maiorov and A
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:02.222715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 05eb8b09-0272-4be6-ae16-ae7feb9511ce · outbound
This paper cites Mao and D.-X.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Mao and D.-X
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:02.212358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 16399f6a-1d92-4278-8d22-ee22e6a7279e · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.200428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 82f6f3f7-6e4a-4be2-ba5a-a089481a7afc · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.187982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 42fc2396-7249-427c-87a4-60d7591c6d33 · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.174671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 06f0a1c5-27ba-45e4-b8c9-56a936b47b5b · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 46
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.164203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a72357db-239b-4ba1-b901-35dfc3f8dce4 · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.154848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ea4f9546-0d03-4954-ae39-7ae5eca6ab08 · outbound
This paper cites Moaveni,Finite Element Analysis: Theory and Application with ANSYS, 3rd ed., Pearson Education India, 2011.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Moaveni,Finite Element Analysis: Theory and Application with ANSYS, 3rd ed., Pearson Education India, 2011
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:02.144222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a197e54b-9d20-4d89-aaee-8df31303aff5 · outbound
This paper cites Mohri, A.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Mohri, A
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:02.132792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation eee8f72d-534a-4b02-80c1-59f045b4d76a · outbound
This paper cites Montanelli and Q.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Montanelli and Q
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:02.121147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 02c87742-193b-42b7-a14a-5d608378e388 · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.110429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 16b351e9-0a1b-4405-b086-59c3d1a9be4f · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.099318Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c9664bbe-efdf-4a97-b066-bee16e70ea7c · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.086296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bd3f6054-3f59-4db4-816d-14613233b707 · outbound
This paper cites Poggio, H.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Poggio, H
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:02.074599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 786aab64-a9c4-4c4d-be33-f2b2a721463d · outbound
This paper cites Reddy,An Introduction to the Finite Element Method, 1993.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Reddy,An Introduction to the Finite Element Method, 1993
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:02.061748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9147bb7a-d091-43cc-9b50-68e14bd2a1a3 · outbound
This paper cites Schaback, Improved error bounds for scattered data interpolation by radial basis functions, Mathematics of Computation,68(225) (1999), 201–216.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Schaback, Improved error bounds for scattered data interpolation by radial basis functions, Mathematics of Computation,68(225) (1999), 201–216
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:02.049887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dbd8a644-8458-4b24-9230-98adc22a022c · outbound
This paper cites Schaback, Superconvergence of kernel-based interpolation,Journal of Approximation The- ory,235(2018), 1–19.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Schaback, Superconvergence of kernel-based interpolation,Journal of Approximation The- ory,235(2018), 1–19
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:02.038494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c40e4fe8-6a1e-403d-8588-1f29fecff3c7 · outbound
This paper cites Deep Network Approximation Characterized by Number of Neurons.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Deep Network Approximation Characterized by Number of Neurons
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:14:01.521184Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b18ff21-6aae-4ec0-a39a-8f6a5111676d · outbound
This paper cites Deep Network with Approximation Error Being Reciprocal of Width to Power of Square Root of Depth.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Deep Network with Approximation Error Being Reciprocal of Width to Power of Square Root of Depth
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T15:14:01.759042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 033542be-cc05-449c-b0f9-80f05991f87f · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 60
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.026196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6ba1842e-135b-4bea-801e-429a564f9830 · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 61
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.011717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 868c4cd2-1a19-472d-8349-5892e2e5831c · outbound
This paper cites Optimal Approximation of Zonoids and Uniform Approximation by Shallow Neural Networks.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Optimal Approximation of Zonoids and Uniform Approximation by Shallow Neural Networks
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:14:01.538697Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 433e8fb9-3496-4615-8384-1dcac5add4be · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 63
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:02.000786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b3ba7bb7-7b1a-4429-a777-9a3ab9760348 · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 64
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:01.991122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9dbc038d-8331-4cbf-81ef-4ed70a3f6697 · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 65
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:01.980398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a6b53c54-5c5d-4990-922e-6fc5109ac1bb · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 66
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:01.969879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation eed532c4-4cce-4492-b9eb-d16dca4cfbe5 · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 67
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:01.960004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d070e93b-1a89-4f1e-947c-343ea6596f07 · outbound
This paper cites Sloan and V.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Sloan and V
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:01.950719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 64176712-47d3-4c94-aa9f-79f74de6bcbb · outbound
This paper cites Stoer, R.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Stoer, R
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:01.941788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 69470c44-e779-4bc7-8002-fad89e432eed · outbound
This paper cites S¨ uli and D.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View S¨ uli and D
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:01.931773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 16d6c833-80f4-4b5a-b64d-abbb2205bc10 · outbound
This paper cites Szeg˝ o,Orthogonal Polynomials, vol.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Szeg˝ o,Orthogonal Polynomials, vol
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:01.921365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 52f7024a-59de-43c4-bd32-31a1e449f7a6 · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 72
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:01.911241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 09ce994f-eafe-4bc0-8ace-bb0fe34d056d · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 73
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:01.896650Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e53e5cdb-e873-41b2-87ab-af6f149afd8d · outbound
This paper cites an unresolved cited work.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Unresolved cited work
Reference 74
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:14:01.885807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cb8a23c0-b1e3-4926-becb-7739e5edb229 · outbound
This paper cites Wendland and C.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Wendland and C
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:01.873074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 67b72d8d-ac71-493a-b846-b68f6d4868d7 · outbound
This paper cites Wenzel, Sharp inverse statements for kernel approximation: superconvergence and satura- tion,arXiv preprint arXiv:2601.01808, 2026.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Wenzel, Sharp inverse statements for kernel approximation: superconvergence and satura- tion,arXiv preprint arXiv:2601.01808, 2026
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:14:01.597147Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 162c109b-eb1f-437e-a571-6714d94373ee · outbound
This paper cites Xu, Iterative methods by space decomposition and subspace correction,SIAM Review,34(4) (1992), 581–613.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Xu, Iterative methods by space decomposition and subspace correction,SIAM Review,34(4) (1992), 581–613
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:01.862737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 34ac7f0c-acf1-4871-ac39-e4d3abd7e083 · outbound
This paper cites The Finite Neuron Method and Convergence Analysis.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View The Finite Neuron Method and Convergence Analysis
Reference 78
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:14:01.604888Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35b66c45-bdae-49cc-9930-920cc05a868b · outbound
This paper cites Nearly Optimal Approximation Rates for Deep Super ReLU Networks on Sobolev Spaces.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Nearly Optimal Approximation Rates for Deep Super ReLU Networks on Sobolev Spaces
Reference 79
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:14:01.608610Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3c705b8-5ec8-4e97-a307-cb4816e33f0b · outbound
This paper cites Optimal rates of approximation by shallow ReLU$^k$ neural networks and applications to nonparametric regression.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Optimal rates of approximation by shallow ReLU$^k$ neural networks and applications to nonparametric regression
Reference 80
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T15:14:01.659841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0628b4a4-f128-430c-bc83-a9f9be61e083 · outbound
This paper cites Yarotsky, Optimal approximation of continuous functions by very deep ReLU networks, in Conference on Learning Theory, PMLR, 2018, 639–649.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Yarotsky, Optimal approximation of continuous functions by very deep ReLU networks, in Conference on Learning Theory, PMLR, 2018, 639–649
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:01.851936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4bca685f-1aef-402f-9f13-221c48ac3213 · outbound
This paper cites Yarotsky and A.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Yarotsky and A
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:01.841342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ea5dc48c-a3df-4e42-9ca4-d506ff7f92f1 · outbound
This paper cites Zhang, Z.
Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View Zhang, Z
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:14:01.830371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.