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Paper Citation Record · LEDGER

Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.09370.

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

pith.paper-citation-record.v1
2407.09370 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:02:17.480424Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T08:47:50.423673Z

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 0b9c8182-960b-4e86-a81f-3278f5ed6c74 · inbound

What are you sinking? A geometric approach on attention sink cites this paper.

What are you sinking? A geometric approach on attention sink Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T05:02:17.480424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:02:17.480424Z digest=sha256:5a13f64db68571c8466ffa583a31abdc374fed4092474cf7e13097110b31a38c

Observation ab001058-3b06-4bdf-adc3-63ba313e4fca · inbound

Fourier Features Let Agents Learn High Precision Policies with Imitation Learning cites this paper.

Fourier Features Let Agents Learn High Precision Policies with Imitation Learning Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-07-03T08:47:50.424860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-27T10:42:50.638059Z digest=sha256:99e2e533495c4bd8767dc770ebe92972d3d93408ffc30d8b3ebe735f6972f415