Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Pre-Training with Whole Word Masking for Chinese BERT
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1906.08101.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:29:56.477508Z
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 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 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.