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Paper Citation Record · LEDGER

An Analysis on Large Language Models in Healthcare: A Case Study of BioBERT

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.07282.

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

pith.paper-citation-record.v1
2310.07282 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:36:27.713760Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T11:34:10.281692Z

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 6ae9ac28-5f51-427a-a48a-71215a213547 · inbound

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision cites this paper.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision An Analysis on Large Language Models in Healthcare: A Case Study of BioBERT

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-09T17:36:27.713760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:36:27.713760Z digest=sha256:367a86f6ffbdc1c63a6fcc36e25e2be61658455dd076fba2b164166edb31949d

Observation db18dd2e-22fc-43ba-921e-fd96c6a4c6d7 · inbound

Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription cites this paper.

Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription An Analysis on Large Language Models in Healthcare: A Case Study of BioBERT

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-09T11:34:10.286804Z

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.

source=pdf_text observed=2026-08-09T11:34:08.738889Z digest=sha256:a69130273ac5a2f3e5863fe5d876f99b51425f87dd923abd6cde001769de26d2