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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=sha256:94a80467bf1126479fe9eaaf9111f1cea2a78f0a035c3651503267c97dd501bd

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:ebbe10dfb4419ab04da5ba8abe9a00457fb5addbd9bbcba333d1fcc73c4f7bdf

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=sha256:72edf94275c36253c79b493d9896c9a06f17b01b4ced9def0b17a17fd1f25df8

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=sha256:4210598d4a54ccb1adeadab647e281db7b1956601364dc5602640afad071842f

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:a2e52f8776b5ad5705a8c926556d794871dcd1fd3636a8a34353709b3544bc51

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=sha256:6032ab1767489377797756396d1080129fa70580c019c6b21c47755c57b7e6b8

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=sha256:2dd2565ee2301bf213c10b03d7eeb2d60e27da81a664bdc8d527483de2f932bf

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=sha256:849f0ea865c3b0ee6dc06ce785ad73676137659cc37ab1b0fc1da8ce3e528af4