Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
BERT_SE: A Pre-trained Language Representation Model for Software Engineering
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2112.00699.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:51:55.893326Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T04:51:56.586728Z
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 1779ce12-38b2-46f7-bafb-1500382699da · inbound
Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations cites this paper.
Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations BERT_SE: A Pre-trained Language Representation Model for Software Engineering
Reference 68
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-12T04:51:56.591955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.