Paper Citation Record · LEDGER

A Sampling Theory Perspective on Activations for Implicit Neural Representations

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.05427.

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

pith.paper-citation-record.v1
2402.05427 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:03:59.138816Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T19:53:11.507002Z

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 35f21656-14c4-4582-9d00-18308f8a72e7 · inbound

Robustifying Fourier Features Embeddings for Implicit Neural Representations cites this paper.

Robustifying Fourier Features Embeddings for Implicit Neural Representations A Sampling Theory Perspective on Activations for Implicit Neural Representations

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T19:15:58.753203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 926711d9-efa9-41ca-81fc-9004c6e536ce · inbound

VI3NR: Variance Informed Initialization for Implicit Neural Representations cites this paper.

VI3NR: Variance Informed Initialization for Implicit Neural Representations A Sampling Theory Perspective on Activations for Implicit Neural Representations

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T06:03:59.138816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eebc1126-34f3-47cf-9fd5-2b1e190b1730 · inbound

FLAIR: Frequency- and Locality-Aware Implicit Neural Representations cites this paper.

FLAIR: Frequency- and Locality-Aware Implicit Neural Representations A Sampling Theory Perspective on Activations for Implicit Neural Representations

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T18:59:58.057197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8db8ca9d-2273-4fd5-a0cc-688b131b0402 · inbound

Adaptive Local Frequency Filtering for Fourier-Encoded Implicit Neural Representations cites this paper.

Adaptive Local Frequency Filtering for Fourier-Encoded Implicit Neural Representations A Sampling Theory Perspective on Activations for Implicit Neural Representations

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:53:11.508456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0f85ab78-648e-4fde-aede-729a16b01414 · inbound

Implicit Neural Representations: A Signal Processing Perspective cites this paper.

Implicit Neural Representations: A Signal Processing Perspective A Sampling Theory Perspective on Activations for Implicit Neural Representations

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:00:04.229023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 471b7655-a3ac-4acc-9da9-3b846ccbc45a · inbound

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks cites this paper.

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks A Sampling Theory Perspective on Activations for Implicit Neural Representations

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T17:31:49.133289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.