Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1901.08746.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-31T00:35:18.371982Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T15:47:02.759608Z
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 949cd465-8716-400f-bde1-f21699836249 · inbound
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission cites this paper.
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T09:26:52.822723Z
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.
Observation 9ae506a5-cbba-40cc-a4d5-e7b2ed8f43b5 · inbound
Enhancing PIO Element Detection in Medical Text Using Contextualized Embedding cites this paper.
Enhancing PIO Element Detection in Medical Text Using Contextualized Embedding BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T15:47:02.763094Z
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.
Observation 780774f7-33c9-4808-9467-e599fe289ae5 · inbound
PubMedQA: A Dataset for Biomedical Research Question Answering cites this paper.
PubMedQA: A Dataset for Biomedical Research Question Answering BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T18:42:51.273566Z
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.
Observation 437931d8-c600-4d9c-804f-8f3ec17f763f · inbound
CodeBERT: A Pre-Trained Model for Programming and Natural Languages cites this paper.
CodeBERT: A Pre-Trained Model for Programming and Natural Languages BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Reference 8
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T21:04:26.292107Z
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.
Observation a530721a-431a-472f-9bba-c3b94c249ce5 · inbound
Deep Label-Wise Attentive Temporal Convolutional Networks Improve Medical Coding cites this paper.
Deep Label-Wise Attentive Temporal Convolutional Networks Improve Medical Coding BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T00:35:18.371982Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.