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Paper Citation Record · LEDGER

CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2109.05729.

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

pith.paper-citation-record.v1
2109.05729 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T09:13:24.365852Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T20:26:09.604522Z

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 c6739f84-3608-41be-95e0-e2c9869409ba · inbound

Evaluating Non-English Developer Support in Machine Learning for Software Engineering cites this paper.

Evaluating Non-English Developer Support in Machine Learning for Software Engineering CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation

Reference 143

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:26:09.610795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-08T09:13:24.365852Z digest=sha256:705ab33b061407b8ee2fb6a126422dd432d3bd457479f58107a648cea5a86155