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Paper Citation Record · LEDGER

Benchmarking large language models for biomedical natural language processing applications and recommendations

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2305.16326.

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

pith.paper-citation-record.v1
2305.16326 v5

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 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:23:18.906510Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:40:24.752962Z

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 35c9c40a-ee7d-4746-b6e7-a66fbf3380bc · inbound

Extracting Information in a Low-resource Setting: Case Study on Bioinformatics Workflows cites this paper.

Extracting Information in a Low-resource Setting: Case Study on Bioinformatics Workflows Benchmarking large language models for biomedical natural language processing applications and recommendations

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T10:23:18.906510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:23:18.906510Z digest=sha256:f12019686828746407a816b102c173ed1aa8947d62e027c4b9bc5de61d33aa80

Observation f788f32a-7f42-4862-ac0a-df7fdcdeaf42 · inbound

Diversity Over Quantity: A Lesson From Few Shot Relation Classification cites this paper.

Diversity Over Quantity: A Lesson From Few Shot Relation Classification Benchmarking large language models for biomedical natural language processing applications and recommendations

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T20:48:07.671288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:48:07.671288Z digest=sha256:3e34fce9e6df46c12c2f8ce49f8d65ce7362342314c7c04732f83c3a234413b6

Observation d1986f89-8064-48d5-85c9-a04f832843c6 · inbound

Can OpenAI o1 Reason Well in Ophthalmology? A 6,990-Question Head-to-Head Evaluation Study cites this paper.

Can OpenAI o1 Reason Well in Ophthalmology? A 6,990-Question Head-to-Head Evaluation Study Benchmarking large language models for biomedical natural language processing applications and recommendations

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T18:33:34.869877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:33:34.869877Z digest=sha256:48046141c3b1c21755220729d63b21fe9bc1ce68f77ba5b832ebd39367ced378

Observation 28edeeb4-31ab-4c99-a644-4632cc037651 · inbound

Automatic Evaluation of Healthcare LLMs Beyond Question-Answering cites this paper.

Automatic Evaluation of Healthcare LLMs Beyond Question-Answering Benchmarking large language models for biomedical natural language processing applications and recommendations

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-08T14:46:29.562681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:46:29.562681Z digest=sha256:1f2ea56f52693fc5117e6385eaa2645a08d1a7e94ed3516ff6a42fc05dd03c82

Observation 249da77e-0f45-467f-b066-d7c2c5120461 · inbound

TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification cites this paper.

TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification Benchmarking large language models for biomedical natural language processing applications and recommendations

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:45.400320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:45.400320Z digest=sha256:b2590aee8f67b2a93eea1becbc5ec763c1602786b1ebffa445a88503bfc5dc09

Observation 07fba180-5d02-45c9-a209-ea9c1d6a4e0f · inbound

Development of the user-friendly decision aid Rule-based Evaluation and Support Tool (REST) for optimizing the resources of an information extraction task cites this paper.

Development of the user-friendly decision aid Rule-based Evaluation and Support Tool (REST) for optimizing the resources of an information extraction task Benchmarking large language models for biomedical natural language processing applications and recommendations

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:40:24.853490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T00:40:23.512646Z digest=sha256:d6985de957ca3acaaa333f3aa77682625787ef077bb7206c4124ec5b9fb5f518