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Paper Citation Record · LEDGER

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1901.08746.

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

pith.paper-citation-record.v1
1901.08746 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:41:20.756311Z

measured 0 of 1 external citation measurements

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:fbe3c79eb685940675a897769a387df9852bd8f7896c0365f063d53d360c9933

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-25T15:46:41.284029Z digest=sha256:075ad348556e2cbcb48ad6dea5f4ef42b47a57ea677861c7031f2830bb732b67

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-23T18:42:51.182937Z digest=sha256:d2357ce997dd66cd95097d747a495d52197747249dec2ad961d07ac11ba5b624

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:8153b771c0b4da39c4606fee35cbb40e06dc5c94b1bf77ebc367769abca30274

Observation b82f5173-6d81-4be2-a510-98a7a5961e9d · inbound

JEBS: A Fine-grained Biomedical Lexical Simplification Task cites this paper.

JEBS: A Fine-grained Biomedical Lexical Simplification Task BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:20.756311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:41:20.756311Z digest=sha256:8c74531baad375d34ed15fe19a10ce4d7f964f42ddfe05e08191524c17c9e25f

Observation 706a40f3-b7b4-4b42-a4c8-a2c82a13fe0b · inbound

Optimising Language Models for Downstream Tasks: A Post-Training Perspective cites this paper.

Optimising Language Models for Downstream Tasks: A Post-Training Perspective BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Reference 119

Resolution
unresolved
no resolver link, observed 2026-08-06T22:44:44.170540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:44:44.170540Z digest=sha256:0dcb5a7ba6c9b50645c104e81429de676b023d7fa6c80577db39beb27cb18f6f

Observation 52619873-62f2-4ae5-b7e8-ee5e7cf14f71 · inbound

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification cites this paper.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T18:28:39.281242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:28:39.281242Z digest=sha256:f0cd30cb58fa40bfce91817f9963f5140a079a500e315cd0d7635b5e4fc8b95e

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.

source=arxiv_source observed=2026-07-31T00:35:18.371982Z digest=sha256:7748ef69c2bc1c5ae0dbb82810cecc7e71b476524c9738c73cc17c943092bf9d