Paper Citation Record · LEDGER

Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2307.03042.

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

pith.paper-citation-record.v1
2307.03042 v3

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 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:33:20.151770Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T04:13:53.161022Z

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 575f7fcc-0e11-4ab1-b1fd-838a660c47ff · inbound

Data-Centric Foundation Models in Computational Healthcare: A Survey cites this paper.

Data-Centric Foundation Models in Computational Healthcare: A Survey Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain

Reference 95

Resolution: verified exact; arxiv_id, observed 2026-05-24T04:13:53.163470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7c32ee3e-572b-4ac6-84c9-2a518210e98a · inbound

Are Clinical T5 Models Better for Clinical Text? cites this paper.

Are Clinical T5 Models Better for Clinical Text? Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T20:20:59.415886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6f1f85c-0c00-47b5-805d-b354ea06e699 · inbound

How well can LLMs Grade Essays in Arabic? cites this paper.

How well can LLMs Grade Essays in Arabic? Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T12:46:06.487566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6310e21-0dfd-441a-b732-b1a6c51caa06 · inbound

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports cites this paper.

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T18:36:08.082526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73076859-32da-46ee-bc7e-c1aa8e8a89fc · inbound

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration cites this paper.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:20.151770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78865775-a7b6-4d8b-a38d-51be5ae4aba3 · inbound

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race cites this paper.

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:13:15.219580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.