Pith. sign in

Paper Citation Record · LEDGER

Fourier Circuits in Neural Networks and Transformers: A Case Study of Modular Arithmetic with Multiple Inputs

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.09469.

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

pith.paper-citation-record.v1
2402.09469 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:51:12.545706Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T03:12:28.775466Z

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 fb542a59-e055-4bf5-b0c5-a5da46059bf9 · inbound

Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation cites this paper.

Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Fourier Circuits in Neural Networks and Transformers: A Case Study of Modular Arithmetic with Multiple Inputs

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-09T18:51:12.545706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:51:12.545706Z digest=sha256:ffc19e12738f736a1adc69af83f85aa073db5c68cf552d192330ca5744a73a4a

Observation b6892761-25c6-47f5-9fe8-51370119a235 · inbound

FoNE: Precise Single-Token Number Embeddings via Fourier Features cites this paper.

FoNE: Precise Single-Token Number Embeddings via Fourier Features Fourier Circuits in Neural Networks and Transformers: A Case Study of Modular Arithmetic with Multiple Inputs

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:12:28.778958Z

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=pdf_text observed=2026-05-23T03:07:37.363965Z digest=sha256:98faeb32727df98b5fd41bfe34c41a51b488a3adc1ee6482b48da41dc418ec13

Observation 7ba5a09e-d4d9-447a-bb1a-139e4e042d31 · inbound

Convergent Evolution: How Different Language Models Learn Similar Number Representations cites this paper.

Convergent Evolution: How Different Language Models Learn Similar Number Representations Fourier Circuits in Neural Networks and Transformers: A Case Study of Modular Arithmetic with Multiple Inputs

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T00:49:48.456285Z

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=2026-05-10T00:47:20.963501Z digest=sha256:c3d4733ac37da1c2fd61b6d25e92e608588c4057040a2559b164253a521686a2