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Paper Citation Record · LEDGER

On the Activation Function Dependence of the Spectral Bias of Neural Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2208.04924.

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

pith.paper-citation-record.v1
2208.04924 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:41:34.654358Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:18:43.188955Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e6112ab4-4496-431c-8fc0-0b45d5fa43c4 · inbound

Leveraging KANs for Expedient Training of Multichannel MLPs via Preconditioning and Geometric Refinement cites this paper.

Leveraging KANs for Expedient Training of Multichannel MLPs via Preconditioning and Geometric Refinement On the Activation Function Dependence of the Spectral Bias of Neural Networks

Reference 2003

Resolution
unresolved
no resolver link, observed 2026-08-07T14:41:34.654358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:41:34.654358Z digest=sha256:d0ebd9b514f8841244b2fb4188d92b2120913bf3c3775821b4ebb83edefe26a2

Observation 4d4ab669-a0c5-4ab0-9107-8e9ce7c0d17b · inbound

Separated-Variable Spectral Neural Networks: A Physics-Informed Learning Approach for High-Frequency PDEs cites this paper.

Separated-Variable Spectral Neural Networks: A Physics-Informed Learning Approach for High-Frequency PDEs On the Activation Function Dependence of the Spectral Bias of Neural Networks

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T06:09:14.324832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T06:09:14.324832Z digest=sha256:0b09f3ea32f230d8c974ea34cd7d002196d64ea074df4ee2c7a857f92ab42a1b

Observation b695f1b5-4290-4f61-a778-3fca50a52bd1 · inbound

AR-KAN: Autoregressive-Weight-Enhanced Kolmogorov-Arnold Network for Time Series Forecasting cites this paper.

AR-KAN: Autoregressive-Weight-Enhanced Kolmogorov-Arnold Network for Time Series Forecasting On the Activation Function Dependence of the Spectral Bias of Neural Networks

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:22:49.100013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T19:22:44.376784Z digest=sha256:ba6586e48c2dd20a74602c434d952b6f6f276bf838b00e8d4fa65e565d19f346

Observation fa91dc51-7988-4739-901a-36e1bef3eba5 · inbound

A Practitioner's Guide to Kolmogorov-Arnold Networks cites this paper.

A Practitioner's Guide to Kolmogorov-Arnold Networks On the Activation Function Dependence of the Spectral Bias of Neural Networks

Reference 262

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T03:30:50.320869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T03:29:15.570760Z digest=sha256:19ed8925ddc1b731bdf74b8f68c414daec640fd9ee10a57bfc048039935559cc

Observation 062b27cd-cab1-4d11-a465-836e924b5a1c · inbound

On the Convergence Behavior of Preconditioned Gradient Descent Toward the Rich Learning Regime cites this paper.

On the Convergence Behavior of Preconditioned Gradient Descent Toward the Rich Learning Regime On the Activation Function Dependence of the Spectral Bias of Neural Networks

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T17:23:09.955119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T17:21:48.237907Z digest=sha256:80229fdf2bf113fc838884ad5567691d32c375ca40694ddcb0b8ee493d016b89

Observation fb9f6ce4-12c0-48f3-8e04-83549475b454 · inbound

Singularity Formation: Synergy in Theoretical, Numerical and Machine Learning Approaches cites this paper.

Singularity Formation: Synergy in Theoretical, Numerical and Machine Learning Approaches On the Activation Function Dependence of the Spectral Bias of Neural Networks

Reference 157

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T09:23:37.313698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T07:13:10.140500Z digest=sha256:a358421a89a24f75c035d4b82cc70cc7afd52c62ed7298d2e75f9a38056fc76e

Observation 226b10bf-79ed-41ee-9bf9-f7323359139a · inbound

Autocorrelation Reintroduces Spectral Bias in KANs for Time Series Forecasting cites this paper.

Autocorrelation Reintroduces Spectral Bias in KANs for Time Series Forecasting On the Activation Function Dependence of the Spectral Bias of Neural Networks

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T21:11:19.312879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T06:28:39.891209Z digest=sha256:1f9ddd2c845fbcbe030509842821d107c988c0b9faef183357c1f3cc5d12fe2d

Observation a0bf56e5-cd3c-4ba1-8609-0eb26257698f · inbound

RepNN: Tackling spectral bias in deep neural networks via parameter reparameterization cites this paper.

RepNN: Tackling spectral bias in deep neural networks via parameter reparameterization On the Activation Function Dependence of the Spectral Bias of Neural Networks

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:18:43.190543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T04:27:31.626339Z digest=sha256:94174693131e4e78999b0e0c61791bb3f0f37fa7cabc96357a33f0ac9ce69f04