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Paper Citation Record · LEDGER

ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.16038.

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

pith.paper-citation-record.v1
2106.16038 v3

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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:12:00.882587Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:46:06.906722Z

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 b074bf56-f993-46f6-a99c-289ddd551941 · inbound

The Paradox of Poetic Intent in Back-Translation: Evaluating the Quality of Large Language Models in Chinese Translation cites this paper.

The Paradox of Poetic Intent in Back-Translation: Evaluating the Quality of Large Language Models in Chinese Translation ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-16T11:12:00.882587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:12:00.882587Z digest=sha256:2502d0e0182f4797617369729479cde78c2ab490899b8ce2b4cba9fd337c8e27

Observation ba45f72f-7e12-41e9-a74e-71e60e6dc5fc · inbound

MIXAR: Scaling Autoregressive Pixel-based Language Models to Multiple Languages and Scripts cites this paper.

MIXAR: Scaling Autoregressive Pixel-based Language Models to Multiple Languages and Scripts ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-22T00:22:10.536572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T15:50:48.162200Z digest=sha256:db0f98b8032681016b0dfdd38095e57d004316dbcec1349370ee1cb1637388aa