Paper Citation Record · LEDGER

BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2404.18443.

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

pith.paper-citation-record.v1
2404.18443 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:57:25.571043Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T13:54:53.072448Z

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 20d14d60-5a00-4654-b790-056cee3a4ca3 · inbound

Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework cites this paper.

Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T19:57:25.571043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f91c4f3-1ac9-4036-a000-3af911776af9 · inbound

CliniQ: A Multi-faceted Benchmark for Electronic Health Record Retrieval with Semantic Match Assessment cites this paper.

CliniQ: A Multi-faceted Benchmark for Electronic Health Record Retrieval with Semantic Match Assessment BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-08T16:19:07.357028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 035af879-247c-4fbb-aa6f-767496230781 · inbound

R2MED: A Benchmark for Reasoning-Driven Medical Retrieval cites this paper.

R2MED: A Benchmark for Reasoning-Driven Medical Retrieval BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:54:53.075048Z

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.

Observation c07c9bdb-7766-4c8f-a89a-db01bd67f5b1 · inbound

A Multi-Task Evaluation of LLMs' Processing of Academic Text Input cites this paper.

A Multi-Task Evaluation of LLMs' Processing of Academic Text Input BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-05T19:49:52.531389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 996366ae-6382-4f80-9db8-bd9d4c9b7662 · inbound

Active Learning for Neurosymbolic Program Synthesis cites this paper.

Active Learning for Neurosymbolic Program Synthesis BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T17:44:13.170068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5c9709c-47f3-4954-b0fe-718707e715e5 · inbound

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays cites this paper.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T16:33:16.136080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b6dbb95-a47d-4254-b5ea-702d45696ab4 · inbound

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations cites this paper.

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:06:04.888724Z

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.