Pith. sign in

Paper Citation Record · LEDGER

Position: Open and Closed Large Language Models in Healthcare

As of 11 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2501.09906.

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

pith.paper-citation-record.v1
2501.09906 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:34:20.634277Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-14T20:39:36.114056Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T20:42:58.333557Z

Reference resolution

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b24a380d-add9-4b7d-9466-877bad5335e6 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Position: Open and Closed Large Language Models in Healthcare Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T19:34:20.597979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:34:20.597979Z digest=sha256:610b5573d6e96438a72e4150cec370189041ac02906509b98bab90615cf00ab8

Observation d0783fd9-d1e4-49d4-9965-5ab22b09f2ef · outbound

This paper cites Llemma: An Open Language Model For Mathematics.

Position: Open and Closed Large Language Models in Healthcare Llemma: An Open Language Model For Mathematics

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T19:34:20.601397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:34:20.601397Z digest=sha256:16adb153b58e28597ee68aaf6f2bfa4960dfc04d6e85e94b44b3791a3c12757d

Observation 5b0da82d-00ff-428c-9d00-8bcfd2c337f1 · outbound

This paper cites Ecosystem Graphs: The Social Footprint of Foundation Models.

Position: Open and Closed Large Language Models in Healthcare Ecosystem Graphs: The Social Footprint of Foundation Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T19:34:20.605233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:34:20.605233Z digest=sha256:4a09ccb2a32a78d0f1256b96106db39345205805bc294e96cee9629f0979b0aa

Observation 2eb1a8a7-f573-4dec-8644-4c5e961c433c · outbound

This paper cites Language Models are Few-Shot Learners.

Position: Open and Closed Large Language Models in Healthcare Language Models are Few-Shot Learners

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T19:34:20.608739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:34:20.608739Z digest=sha256:966f30eae38d18ee6ba16c1a596decf0c508f422beed5c68fdb6a832628f2b71

Observation 39ca388c-17ae-4771-9f15-5594b0fb49c9 · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality, march 2023.

Position: Open and Closed Large Language Models in Healthcare Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality, march 2023

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:34:20.746842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T19:34:20.612139Z digest=sha256:665c160f085a264d9860e701a18034137a45325d93f1a7a346d998e299eba00a

Observation 542c38e5-c6e6-4d66-be11-e7f6be77ffa4 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Position: Open and Closed Large Language Models in Healthcare Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:34:20.739551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T19:34:20.614769Z digest=sha256:de1d196413b68b87f40e3266cdeac0664e9bd1f2632885dea623d2084be9048f

Observation c6e567d6-75bf-4d7f-b6f2-b851371d1e14 · outbound

This paper cites Palm: Scaling language modeling with pathways.

Position: Open and Closed Large Language Models in Healthcare Palm: Scaling language modeling with pathways

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:34:20.731984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T19:34:20.617017Z digest=sha256:e027d08bb4a1e9db74bc29067ddde1f81102371123869bd20bfc71e4277faaba

Observation b09d1354-fbca-4f2f-b2b4-bff699645301 · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

Position: Open and Closed Large Language Models in Healthcare BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T19:34:20.619186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:34:20.619186Z digest=sha256:7868923f846ecd5fa92fffb85ddcb80d8fe275c34347cd17d4419c07a7de5588

Observation b71320f2-e3fd-4c67-a5ef-a9e569dad197 · outbound

This paper cites Gpt-4 technical report.

Position: Open and Closed Large Language Models in Healthcare Gpt-4 technical report

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:34:20.723943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T19:34:20.621347Z digest=sha256:c76607fc040b0a2e0abc137f0992bab00c66dda5f9e3acd53407dbe6d7a82480

Observation 79e59855-68e8-4955-9ef5-dd9ff7eb6f0d · outbound

This paper cites Language models are unsupervised multitask learners.

Position: Open and Closed Large Language Models in Healthcare Language models are unsupervised multitask learners

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:34:20.716354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T19:34:20.623344Z digest=sha256:58a7ef8cd9086caad438e89ae5b393598c32d0c9d264640f49686d99feaeb86b

Observation 4b645705-9e8b-4191-adfe-3cae9090bd05 · outbound

This paper cites Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J.

Position: Open and Closed Large Language Models in Healthcare Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T19:34:20.626020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:34:20.626020Z digest=sha256:23ee90ef816a8237a888b3bf850f6b7bf7193af63efab66b5cd68d4d8e6575d4

Observation 17175096-a116-4f21-8905-7d0ce99cf50e · outbound

This paper cites Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model.

Position: Open and Closed Large Language Models in Healthcare Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T19:34:20.627949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:34:20.627949Z digest=sha256:42c70aff82f5e6de649260b5608f0a12522fd82b6a2ce34a742ebb5d79231c26

Observation 6c81e140-9ca4-4f4f-95d5-0fe47c017bee · outbound

This paper cites The gradient of generative ai release: Methods and considerations.

Position: Open and Closed Large Language Models in Healthcare The gradient of generative ai release: Methods and considerations

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:34:20.704299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T19:34:20.630219Z digest=sha256:be69580d521937b2060d8fe41deb6f11e042ded7141fa85cd9f84de295298577

Observation fabf6c0f-185a-4bb8-9ca8-88f5067ad0e9 · outbound

This paper cites Alpaca: A strong, replicable instruction- following model.

Position: Open and Closed Large Language Models in Healthcare Alpaca: A strong, replicable instruction- following model

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:34:20.694907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T19:34:20.632172Z digest=sha256:218edf3d09f117a06a2539ab46e0e203310a1ee017adb9dc355c395312b69c8f

Observation 4d552b57-450f-4189-813c-8b48a68ed2da · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Position: Open and Closed Large Language Models in Healthcare LLaMA: Open and Efficient Foundation Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T19:34:20.634277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:34:20.634277Z digest=sha256:aaf166825dadfb4cdf2940e6367e0d47be16bbc4ba819336f7298c929057ce17

Pith citing papers

Observation 6c5febf4-a85c-4a5d-b610-051b248b7173 · inbound

Fine-Tuning Models for Automated Code Review Feedback cites this paper.

Fine-Tuning Models for Automated Code Review Feedback Position: Open and Closed Large Language Models in Healthcare

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:42:58.336647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-14T20:39:36.114056Z digest=sha256:6d1736e512edc85fb0385fd5071ebd094d06d5085e086e413dee65dc8c9dbc1d