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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 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 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:34:15.474252Z

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T01:03:26.037233Z digest=sha256:168e3885525cd307ab8f82cf234eea483a2e65cf704b4a0e92ab1300a0b89d55

Observation 1a5c6655-216d-4525-88ec-2f7ac2b97dfd · inbound

A Reward-driven Automated Webshell Malicious-code Generator for Red-teaming cites this paper.

A Reward-driven Automated Webshell Malicious-code Generator for Red-teaming BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T12:34:15.474252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:34:15.474252Z digest=sha256:e2e13adee96bb1670fc38ac787b910493138a6a31270ebee5db21654d8ed6f02

Observation 5e4aa49c-a6b7-4a2a-9fd0-a3f14cb7df98 · inbound

MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility cites this paper.

MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T12:14:47.705191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:14:47.705191Z digest=sha256:57e7053110231bade308db64192a302f4b3bd001d5c03b7a66514901b34c0f06

Observation fee3667e-5bb0-49ae-bfda-2c13a49ec6e6 · inbound

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray cites this paper.

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T05:24:50.783519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:24:50.783519Z digest=sha256:56d4f87aa4f724ec885070951280285fbd33be295681429147f7c3de1ca7ea21

Observation cc492815-43f0-428a-816e-f7a4c55ef160 · inbound

AI4Research: A Survey of Artificial Intelligence for Scientific Research cites this paper.

AI4Research: A Survey of Artificial Intelligence for Scientific Research BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-06T20:45:12.133608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:45:12.133608Z digest=sha256:6f27da53ed247aecd4250d552777e7e29b84638885fc3344a0de349edcf5189c

Observation 70dce0dd-fb53-48c1-85b8-1db8d60f87c5 · inbound

Disaster Informatics after the COVID-19 Pandemic: Bibliometric and Topic Analysis based on Large-scale Academic Literature cites this paper.

Disaster Informatics after the COVID-19 Pandemic: Bibliometric and Topic Analysis based on Large-scale Academic Literature BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T21:57:00.731160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:57:00.731160Z digest=sha256:9c8698a6d7756d9aae1e20d53c98602d1b5aa76c37088f58645ef01dab7741e7

Observation e01d200f-64f2-460e-9ccd-df269371953f · inbound

Constructing Ophthalmic MLLM for Positioning-diagnosis Collaboration Through Clinical Cognitive Chain Reasoning cites this paper.

Constructing Ophthalmic MLLM for Positioning-diagnosis Collaboration Through Clinical Cognitive Chain Reasoning BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T14:51:09.575442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:09.575442Z digest=sha256:f038bde405b863df32814a13f7c8d44f368f8951c39d534babd28a4ea907489d

Observation 7f0281f8-8381-4203-8979-dd61589937d0 · inbound

Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains cites this paper.

Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T17:02:38.989241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:02:38.989241Z digest=sha256:d46b2ba5cea3dd03b9a868b695d3f9b7871c4329f4295f04ef41a4a97446ed43

Observation 7a2ba3cc-ed35-4ff3-a74d-e1caa08ec532 · inbound

Survey of Specialized Large Language Model cites this paper.

Survey of Specialized Large Language Model BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T15:37:49.185330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:37:49.185330Z digest=sha256:9e447a69d569dd79f1b1ba562ebf8ef6887205234a89182214d24a70cd40b81f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T17:39:17.456350Z digest=sha256:b48bb559d9a80b4e65590334b942f5ffa6f34d3bfc1afe2612db2fcfe2719e81

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=sha256:7ebf407f1d4fe6c11c4f707f65de80db5688e4d20ea2c5b17b1a15c602415cd2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T06:44:04.493625Z digest=sha256:ddc8c0467b250f5c67f1dee771941d3aefc99ed2f086bbf6c34b9652bd7530db

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T03:21:31.374575Z digest=sha256:20027c654160fe482c524c1af3a20e2e2bb74a04bb80bad1b6af581bc3f7567c

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=sha256:70b8de5e3e6719ef81a5f82aa450e503123cccd455f3c6dfb0880a5bdce5a1c9