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Paper Citation Record · LEDGER

Semiparametric M-estimation with overparameterized neural networks

As of 20 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 2 inbound Pith citation observations for arXiv:2504.19089.

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

pith.paper-citation-record.v1
2504.19089 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:11:40.866770Z

measured 17 of 17 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:05:07.433082Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:46:15.201724Z

Reference resolution

15 of 15 outbound references displayed

  • verified exact1
  • verified fuzzy4
  • unresolved9
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 440de344-0d29-4303-b3c9-819df446d5c6 · outbound

This paper cites an unresolved cited work.

Semiparametric M-estimation with overparameterized neural networks Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-16T06:11:41.181231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:11:40.777225Z digest=sha256:2b5e461d9c76abc5823e0358c4c16eb1e69220b159009bd3ddcee461789e89e9

Observation b3a1154d-d7a1-497d-8a40-7b3952b10d7c · outbound

This paper cites an unresolved cited work.

Semiparametric M-estimation with overparameterized neural networks Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-16T06:11:41.049360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:11:40.861238Z digest=sha256:bcc980836c425734186cc5afa5364f905635d4002048817481891896348b28f6

Observation 8c820c18-817f-4f1c-bf7b-d753a96ea690 · outbound

This paper cites Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS.

Semiparametric M-estimation with overparameterized neural networks Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS

Reference 3

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unresolved
no resolver link, observed 2026-08-16T06:11:40.789662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:11:40.789662Z digest=sha256:ca7380d2fb1aaead231e339d02f2eb7127429e8f950adbbceb076e4deaa40bd8

Observation 23b110e2-8cba-4495-b410-c355cd39b10b · outbound

This paper cites Uniform Generalization Bounds for Overparameterized Neural Networks.

Semiparametric M-estimation with overparameterized neural networks Uniform Generalization Bounds for Overparameterized Neural Networks

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-16T06:11:40.915223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:11:40.838894Z digest=sha256:77e05c351da1c90b60754e811d55c2c436d3a1923b4677ec0f2afd65029a9c9b

Observation 79b2e77e-d03d-4d42-9771-f654a93af6e2 · outbound

This paper cites Van der Vaart, A.

Semiparametric M-estimation with overparameterized neural networks Van der Vaart, A

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:11:41.105001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:11:40.844843Z digest=sha256:05e0f71e80a334c4e42c862b7d516d64a71f3cdf6991b32495edc002767fca6c

Observation 6c8353cd-63cf-42e5-9d9e-59034d2b5256 · outbound

This paper cites and Liang, Y.

Semiparametric M-estimation with overparameterized neural networks and Liang, Y

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:11:41.127288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:11:40.817675Z digest=sha256:84e655d6d51630965cf8d4f0770a9491ec80b126bc58fdc28a6ba0cb0310f4ea

Observation d61bc626-7567-4141-9fb3-427860fc3eff · outbound

This paper cites Deep ReLU network approximation of functions on a manifold.

Semiparametric M-estimation with overparameterized neural networks Deep ReLU network approximation of functions on a manifold

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T06:11:40.824983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:11:40.824983Z digest=sha256:91583b3788c6217e201a7be362734fe5395e904baef13066cec46a79d019b7a6

Observation 2da9434c-f53e-43d3-8536-d5fd8da7e7b0 · outbound

This paper cites semipa rametric estimation with overpa- rameterized neural network.

Semiparametric M-estimation with overparameterized neural networks semipa rametric estimation with overpa- rameterized neural network

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:11:41.085140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:11:40.850191Z digest=sha256:eab2c9f5e36b1d3c6808de04fd378c0e05d41361b2246e8fba9e542cc7e16359

Observation 99ea1e37-d718-4d51-887e-e4c1cded5458 · outbound

This paper cites an unresolved cited work.

Semiparametric M-estimation with overparameterized neural networks Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-16T06:11:41.030877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:11:40.866770Z digest=sha256:dc6e077cd86878fb3344d06e9809c08c020cdcb5711867316cc62ba14fcae1d0

Observation 57b56c12-ffcd-4173-bdfd-9e35141dc546 · outbound

This paper cites an unresolved cited work.

Semiparametric M-estimation with overparameterized neural networks Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-16T06:11:41.146774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:11:40.802998Z digest=sha256:a8857f9c79544f4bdef2652404a420e68ca8228125a94a8cfef2add81aa03bcb

Observation 6df897fe-d078-44d2-989d-e3ba8303ebb1 · outbound

This paper cites Breaking the Curse of Dimensionality with Convex Neural Networks.

Semiparametric M-estimation with overparameterized neural networks Breaking the Curse of Dimensionality with Convex Neural Networks

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-16T06:11:40.783726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:11:40.783726Z digest=sha256:bf5a8f64f952b6e33478af332e59a0124794ebe4b01ed918b868a7c851871d78

Observation 19bf3701-ea41-40a4-bced-69058e5babaa · outbound

This paper cites Generalization Ability of Wide Neural Networks on $\mathbb{R}$.

Semiparametric M-estimation with overparameterized neural networks Generalization Ability of Wide Neural Networks on $\mathbb{R}$

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-16T06:11:40.810803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:11:40.810803Z digest=sha256:61c843f603955f0e80d7726d70cc1116248cd233baaa3f62ff463131561d0b68

Observation 5a84d59e-3728-469a-9456-97356fd94016 · outbound

This paper cites Hu, T., Wang, W., Lin, C., and Cheng, G.

Semiparametric M-estimation with overparameterized neural networks Hu, T., Wang, W., Lin, C., and Cheng, G

Reference 131

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:11:41.164754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:11:40.797474Z digest=sha256:23b35796f3e1d93461b230e9dfd24a87554f9c42ebd5595980115ca495a3df36

Observation 4d280951-f3a4-4884-94a8-a2ac4a580a8f · outbound

This paper cites W., and Wang, J.-L.

Semiparametric M-estimation with overparameterized neural networks W., and Wang, J.-L

Reference 1375

Resolution
malformed identifier
raw_fallback, observed 2026-08-16T06:11:41.067187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:11:40.855800Z digest=sha256:7faa23c678eed902ad7682ff3e18c609a271457b5cd96f80c78a3bb8cb61e466

Observation 6ca873dc-fa9e-4101-9ade-9d20281d0b7e · outbound

This paper cites Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality.

Semiparametric M-estimation with overparameterized neural networks Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality

Reference 1897

Resolution
unresolved
no resolver link, observed 2026-08-16T06:11:40.832462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:11:40.832462Z digest=sha256:799fa8c0c14a0829aeb552a3b1293a6ad48e00fc94fa0d222087ba784eed06a0

Pith citing papers

Observation b4c6c89c-e296-4451-abf6-57509cd51863 · inbound

Deep Semiparametric Partial Differential Equation Models cites this paper.

Deep Semiparametric Partial Differential Equation Models Semiparametric M-estimation with overparameterized neural networks

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T22:05:07.433082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:05:07.433082Z digest=sha256:a3b76d16f556d84962b14b7604a164d55445573523cd4486ee4355b7d385ba9d

Observation 1b96a7d1-e053-4e42-b69d-729b30d9f7da · inbound

Statistical Inference on Gradient Flows cites this paper.

Statistical Inference on Gradient Flows Semiparametric M-estimation with overparameterized neural networks

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:46:15.203207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-28T16:26:55.468917Z digest=sha256:4cf1ece4b01b4c7212e57203753d761eebd9257db65268e74d1e4d5d06766aec