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Paper Citation Record · LEDGER

GPT or BERT: why not both?

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.24159.

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

pith.paper-citation-record.v1
2410.24159 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 2026-08-11T19:40:51.508725Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T19:40:52.802433Z

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 9bf6cc6b-4daa-4fe5-921b-5b78aebf6678 · inbound

Small Languages, Big Models: A Study of Continual Training on Languages of Norway cites this paper.

Small Languages, Big Models: A Study of Continual Training on Languages of Norway GPT or BERT: why not both?

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-11T19:40:52.812281Z

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=2026-08-11T19:40:51.508725Z digest=sha256:1b6b6e9456d0bcf33879e417fe1eb0e1c06e4903c1217a170ecd9e013af1ad3c

Observation 043bbcb7-c058-4583-ad5d-78f3c0bf2173 · inbound

Enhancing next token prediction based pre-training for jet foundation models cites this paper.

Enhancing next token prediction based pre-training for jet foundation models GPT or BERT: why not both?

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-03T18:42:09.889583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:42:09.889583Z digest=sha256:8b69d616074c63f03bfa2cdf717f868c08b7a3ba5e7f4a3e4610a1552d06c9c3