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Paper Citation Record · LEDGER

Issues with Neural Tangent Kernel Approach to Neural Networks

As of 11 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2501.10929.

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

pith.paper-citation-record.v1
2501.10929 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:54:37.714186Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved2
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 001c78d5-3628-4b07-b039-fa98a7daacec · outbound

This paper cites The recurrent neural tangent kernel.

Issues with Neural Tangent Kernel Approach to Neural Networks The recurrent neural tangent kernel

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:38.002358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T18:54:37.645276Z digest=sha256:e5e34a5b8aab920ef4ccfcc2c2a248b1cca356fe9a9fb4777ee840ab2cb5e8d0

Observation c49c155e-f9c7-4883-b9ed-35585e104f01 · outbound

This paper cites On Exact Computation with an Infinitely Wide Neural Net.

Issues with Neural Tangent Kernel Approach to Neural Networks On Exact Computation with an Infinitely Wide Neural Net

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T18:54:37.651128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:54:37.651128Z digest=sha256:fae917814543a0c5ba6083901755996028b68256bd1e80aa6ebf677ac0121310

Observation dc4416cc-eb1e-4d89-830c-1d0466ce4a63 · outbound

This paper cites On lazy training in differentiable programming // Advances in neural information processing systems.

Issues with Neural Tangent Kernel Approach to Neural Networks On lazy training in differentiable programming // Advances in neural information processing systems

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:37.985047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T18:54:37.656851Z digest=sha256:e730407c1549205c87273c739287b7f4fa38b57237a040a27a2b61b45cf6a874

Observation 9b869731-c73a-42fe-85c5-d6e7483478f7 · outbound

This paper cites Kernel methods for deep learning // Advances in neural information processing systems.

Issues with Neural Tangent Kernel Approach to Neural Networks Kernel methods for deep learning // Advances in neural information processing systems

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:37.968054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T18:54:37.661837Z digest=sha256:4b1fe8739f08b091d7e33ecfb8a9849fd15e653deb7fce6b927b816bddd0432e

Observation 1694bb84-3cf0-4f4b-ac67-34c887dac6f8 · outbound

This paper cites CMSC 828W: Foundations of Deep Learning.

Issues with Neural Tangent Kernel Approach to Neural Networks CMSC 828W: Foundations of Deep Learning

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:37.950251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T18:54:37.667436Z digest=sha256:14fe5927f7481cd66d2e3efe829a774201015c6edaf1038c18a7438592632e65

Observation 331890d9-8371-421f-9b22-7b30991961c8 · outbound

This paper cites The Database of AI Litigation.

Issues with Neural Tangent Kernel Approach to Neural Networks The Database of AI Litigation

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:37.931885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T18:54:37.672412Z digest=sha256:d776581b77f58e993db67849d29683919b0d0e9dddc2cc103770fe3cd5f6dff2

Observation 78edb749-f22e-4484-b0c7-79eb78c455e9 · outbound

This paper cites Infinite attention: NNGP and NTK for deep attention networks // International Conference on Machine Learning.

Issues with Neural Tangent Kernel Approach to Neural Networks Infinite attention: NNGP and NTK for deep attention networks // International Conference on Machine Learning

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:37.912745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T18:54:37.678115Z digest=sha256:5d6ba2608155f4b94394d905af9d2735fad7e7eed6baca01a73d93f1031460cb

Observation faa2938e-a538-4f31-b18f-1ec4881a1202 · outbound

This paper cites Neural tangent kernel: Convergence and generalization in neural networks // Advances in neural information processing systems.

Issues with Neural Tangent Kernel Approach to Neural Networks Neural tangent kernel: Convergence and generalization in neural networks // Advances in neural information processing systems

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:37.892468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T18:54:37.683102Z digest=sha256:9bd54f206ca5b769d5a7fa645d6f111ea5a86954a344d2b7d28c5b53a8dc1b46

Observation ba3ff269-05fe-42d3-a6a2-a042383aa845 · outbound

This paper cites Deep Neural Networks as Gaussian Processes.

Issues with Neural Tangent Kernel Approach to Neural Networks Deep Neural Networks as Gaussian Processes

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T18:54:37.688086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:54:37.688086Z digest=sha256:ea6aee02739bb9f03b9708eb25b2712255705f26310e8b97ab5b0e5ca6f8498a

Observation d9ac6c1e-9c8f-4238-a997-6b4f176944b9 · outbound

This paper cites Priors for infinite networks // Bayesian Learning for Neural Networks.

Issues with Neural Tangent Kernel Approach to Neural Networks Priors for infinite networks // Bayesian Learning for Neural Networks

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:37.873219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T18:54:37.693672Z digest=sha256:8306937bf7d7a392741c7ee5e86fdf3774dc72546bf3dbecc799bbb27a9b888c

Observation 4185f9a5-aa94-43d1-8a20-603eb0666b9a · outbound

This paper cites an unresolved cited work.

Issues with Neural Tangent Kernel Approach to Neural Networks Unresolved cited work

Reference 11

Resolution
parse uncertain
raw_fallback, observed 2026-08-10T18:54:37.854945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T18:54:37.698568Z digest=sha256:abc08e040c26f68ecaa7446e9e96e07558d8f75880eb2cc7580296993358506c

Observation fe3618af-af36-4b81-a5f2-6e4311328b57 · outbound

This paper cites Analyzing finite neural networks: Can we trust neural tangent kernel theory? // Mathematical and Scientific Machine Learning.

Issues with Neural Tangent Kernel Approach to Neural Networks Analyzing finite neural networks: Can we trust neural tangent kernel theory? // Mathematical and Scientific Machine Learning

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:37.837651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T18:54:37.704203Z digest=sha256:a1378f1534d97b5374943074a98f8983de614d34bf1a77470b238b94612a718e

Observation 39be91d6-6cca-4a17-b8d5-b3c4ffe2c0bf · outbound

This paper cites Reverse engineering the neural tangent kernel // International Conference on Machine Learning.

Issues with Neural Tangent Kernel Approach to Neural Networks Reverse engineering the neural tangent kernel // International Conference on Machine Learning

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:37.819704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T18:54:37.709278Z digest=sha256:d3008b85552a3d0afa8e3053451202626a1f9f0fb8b67649a7f3c0a5663233f1

Observation 7d6729e4-016c-47dd-8939-f3a0b4c602c4 · outbound

This paper cites Kernel ridge regression // Max Welling’s classnotes in machine learning.

Issues with Neural Tangent Kernel Approach to Neural Networks Kernel ridge regression // Max Welling’s classnotes in machine learning

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:37.800115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T18:54:37.714186Z digest=sha256:34fcdbd1140c43c653140a3fc1584faf4cc66f2a4c09c04019eb0f44999422f9

Pith citing papers

No inbound Pith citation observations are available.