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Paper Citation Record · LEDGER

BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.18421.

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

pith.paper-citation-record.v1
2403.18421 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:00:00.169975Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T18:08:45.686200Z

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 d489b56c-99f3-4f88-8aed-6721e1e8cdc9 · inbound

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices cites this paper.

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:05:16.214995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:03:26.037233Z digest=sha256:33729ee6980c30c8efa692cd053dd0dacc277e2a251859c671b438bde09b279d

Observation d3a15b1a-4564-47af-bd88-55dc225f1487 · inbound

Towards EnergyGPT: A Large Language Model Specialized for the Energy Sector cites this paper.

Towards EnergyGPT: A Large Language Model Specialized for the Energy Sector BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-18T17:42:47.516113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T17:39:17.456350Z digest=sha256:c6988a03fcc213c85cd1bc06ad25dba260e8809d503f929917895295d9018204

Observation 3d7ec0f9-a267-47c8-9234-805336aa81ca · inbound

Generative Artificial Intelligence in Bioinformatics: A Systematic Review of Models, Applications, and Methodological Advances cites this paper.

Generative Artificial Intelligence in Bioinformatics: A Systematic Review of Models, Applications, and Methodological Advances BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-04T00:00:00.169975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:00:00.169975Z digest=sha256:05bc538fb7cc3b0587ab5c78d7389536059846a7ed9853ede10ad7e5874c93d8

Observation f86d9df5-da80-41ea-8f93-40d1eaebedf3 · inbound

From Token to Token Pair: Efficient Prompt Compression for Large Language Models in Clinical Prediction cites this paper.

From Token to Token Pair: Efficient Prompt Compression for Large Language Models in Clinical Prediction BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:47:27.380219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T06:44:04.493625Z digest=sha256:c003d413ab2f702c43f594292a2706d47134d3eb7d57e2d9fdf8c3ee7b828232

Observation cddea931-d44e-4395-88e4-0bd0d06104fd · inbound

Revisiting LLM Adaptation for 3D CT Report Generation: A Study of Scaling and Diagnostic Priors cites this paper.

Revisiting LLM Adaptation for 3D CT Report Generation: A Study of Scaling and Diagnostic Priors BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-03T18:08:45.688157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T03:21:31.374575Z digest=sha256:c483ebac35888ae8c685e77a6e850b7d37fa833f7593af8c9cb957cbed30efe6

Observation 02daba06-2825-450b-848b-4340214e24e4 · inbound

Discovery by Dreaming: Cross-Domain Recombination in Artificial Memory cites this paper.

Discovery by Dreaming: Cross-Domain Recombination in Artificial Memory BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T09:48:00.974261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:48:00.974261Z digest=sha256:3b7eb75564e9968010d0ccc59369b11da6eb831b3b7cac73c85387f2fc3d637f