Pith. sign in

Paper Citation Record · LEDGER

A Survey for Large Language Models in Biomedicine

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.00133.

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

pith.paper-citation-record.v1
2409.00133 v1

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 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:36:50.095293Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T13:28:19.047020Z

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 b3d656e5-3db9-4c45-be54-0e344ad5e87c · inbound

Position: Foundation Models Need Digital Twin Representations cites this paper.

Position: Foundation Models Need Digital Twin Representations A Survey for Large Language Models in Biomedicine

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-16T04:36:50.095293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:36:50.095293Z digest=sha256:a30e84bb66f4177ec50a40e9a07514b433ace5c68191bdd3f4f19316943df77f

Observation a588e854-b73d-44d1-adc3-15469f8276ad · inbound

Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions cites this paper.

Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions A Survey for Large Language Models in Biomedicine

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-15T23:45:43.828226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:45:43.828226Z digest=sha256:2ea537d0de4177971deb92d4f95f36e90bd26930072a1eca5721441427d13509

Observation 81c88182-97e3-48c4-9b1e-a318e62221ed · inbound

Learning Faster with Better Tokens: Parameter-Efficient Vocabulary Adaptation for Specialized Text Summarization cites this paper.

Learning Faster with Better Tokens: Parameter-Efficient Vocabulary Adaptation for Specialized Text Summarization A Survey for Large Language Models in Biomedicine

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:28:19.048528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-20T13:26:11.221267Z digest=sha256:67e312296726f73c478b63ebd749f57473ea1e33459406fe43aa436642513f91