Paper Citation Record · LEDGER

Pre-Training with Whole Word Masking for Chinese BERT

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1906.08101.

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

pith.paper-citation-record.v1
1906.08101 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:21:48.346346Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:06:20.192947Z

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 6761bf4b-ecd2-40d5-a7a1-99201cb76568 · inbound

NEZHA: Neural Contextualized Representation for Chinese Language Understanding cites this paper.

NEZHA: Neural Contextualized Representation for Chinese Language Understanding Pre-Training with Whole Word Masking for Chinese BERT

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T06:03:48.154856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71b484b2-40e1-4b1b-bc57-4a150379931a · inbound

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges cites this paper.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Pre-Training with Whole Word Masking for Chinese BERT

Reference 162

Resolution: unresolved; no resolver link, observed 2026-08-11T22:41:19.464739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16b9168d-af41-4f13-b83a-698be024157d · inbound

Social Cyber Geographical Worldwide Inventory of Bots cites this paper.

Social Cyber Geographical Worldwide Inventory of Bots Pre-Training with Whole Word Masking for Chinese BERT

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-09T22:18:53.435352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df24b87f-1c7a-4c80-b4eb-15864de69eca · inbound

AI for Regulatory Affairs: Balancing Accuracy, Interpretability, and Computational Cost in Medical Device Classification cites this paper.

AI for Regulatory Affairs: Balancing Accuracy, Interpretability, and Computational Cost in Medical Device Classification Pre-Training with Whole Word Masking for Chinese BERT

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:56.477508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11f71f53-f62c-4bff-bd79-c4fba212d4e6 · inbound

PL-CA: A Parametric Legal Case Augmentation Framework cites this paper.

PL-CA: A Parametric Legal Case Augmentation Framework Pre-Training with Whole Word Masking for Chinese BERT

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T16:21:48.346346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45287a32-f927-45c4-ace2-879b6ec447e4 · inbound

CNSocialDepress: A Chinese Social Media Dataset for Depression Risk Detection and Structured Analysis cites this paper.

CNSocialDepress: A Chinese Social Media Dataset for Depression Risk Detection and Structured Analysis Pre-Training with Whole Word Masking for Chinese BERT

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-18T08:06:06.176586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f4ec33c6-9ff9-4293-96f8-dc0731aeb64b · inbound

PortBERT: Navigating the Depths of Portuguese Language Models cites this paper.

PortBERT: Navigating the Depths of Portuguese Language Models Pre-Training with Whole Word Masking for Chinese BERT

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T23:06:20.194882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.