Pith. sign in

Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:46:29.562681Z

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 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=sha256:0df9617f16e45ee9cf3e8cbf1a612928f0d8698602dd4256b8ac153c0c0e05ca

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:fa00a450fad8fc28d8ddc59f8ac595ab03630f97ef1139423d8686f70d3c6792

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

source=pdf_text observed=2026-08-07T00:40:23.512646Z digest=sha256:e91a006e4871528b3ab4cfc300e4952141b7d4817bebb7e33a8eaf2f1c6a9799