Paper Citation Record · LEDGER

Towards the Spectral bias Alleviation by Normalizations in Coordinate Networks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.17834.

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

pith.paper-citation-record.v1
2407.17834 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:13:09.805384Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T06:29:10.202416Z

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 55be846a-9843-443e-aa79-921f5c9ae41e · inbound

On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations cites this paper.

On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations Towards the Spectral bias Alleviation by Normalizations in Coordinate Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T20:29:38.340044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2896fa2a-c8be-43bf-ba16-a23c221cd07a · inbound

Learning Turbulent Flows with Generative Models: Super-resolution, Forecasting, and Sparse Flow Reconstruction cites this paper.

Learning Turbulent Flows with Generative Models: Super-resolution, Forecasting, and Sparse Flow Reconstruction Towards the Spectral bias Alleviation by Normalizations in Coordinate Networks

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T16:13:09.805384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a9353d2-df6d-466b-ac95-269ce0824e1c · inbound

NSTR: Neural Spectral Transport Representation for Space-Varying Frequency Fields cites this paper.

NSTR: Neural Spectral Transport Representation for Space-Varying Frequency Fields Towards the Spectral bias Alleviation by Normalizations in Coordinate Networks

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-17T06:29:10.205725Z

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.

Observation b2d14899-876a-48df-b945-bd7b6fd1ed9c · inbound

Scaling Implicit Fields via Hypernetwork-Driven Multiscale Coordinate Transformations cites this paper.

Scaling Implicit Fields via Hypernetwork-Driven Multiscale Coordinate Transformations Towards the Spectral bias Alleviation by Normalizations in Coordinate Networks

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:54:08.585201Z

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.