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Paper Citation Record · LEDGER

Representing Numbers in NLP: a Survey and a Vision

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2103.13136.

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

pith.paper-citation-record.v1
2103.13136 v1

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 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-23T03:07:37.363965Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T03:12:28.619368Z

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 759eeac1-fb29-4236-9056-0ffb4e57c47d · inbound

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

FoNE: Precise Single-Token Number Embeddings via Fourier Features Representing Numbers in NLP: a Survey and a Vision

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:12:28.623918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T03:07:37.363965Z digest=sha256:d691abe701421be187ca1f666690eb2e16a055e76a7f905eaf8dba0e065e8d88

Observation 255defaf-8e5d-4bba-b4aa-d2bb5a712dc4 · inbound

Predicting Post-Traumatic Epilepsy from Clinical Records using Large Language Model Embeddings cites this paper.

Predicting Post-Traumatic Epilepsy from Clinical Records using Large Language Model Embeddings Representing Numbers in NLP: a Survey and a Vision

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:20:22.641546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T12:17:54.168604Z digest=sha256:c9ec72512e9e9cc4a107164ddbd28c02d4304715c82076d65ef3dd915a58ea7c