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Paper Citation Record · LEDGER

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models

As of 22 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2606.26879.

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

pith.paper-citation-record.v1
2606.26879 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T05:01:08.274158Z

measured 23 of 23 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8600aeba-7883-4977-af88-10abb8205a7c · outbound

This paper cites Robust de-anonymization of large sparse datasets.

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models Robust de-anonymization of large sparse datasets

Reference 1

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source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:30c43fc4647798bdaef8ccdae257a693a2837d74c328a5d670d0069c5b921f88

Observation 5b41cae1-0685-41ea-90eb-bfc1abe54998 · outbound

This paper cites Synthetic data generation: State of the art in health care domain.Computer Science Review, 48:100546, 2023.

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models Synthetic data generation: State of the art in health care domain.Computer Science Review, 48:100546, 2023

Reference 2

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source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:1b354b2c97283692b4bd257fab5c5c8949b674072df758074eade6742d05ea3b

Observation 28b2ad2f-be7b-453d-8fcc-02682e0caab2 · outbound

This paper cites Pezoulas, Dimitrios I.

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models Pezoulas, Dimitrios I

Reference 3

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source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:817827816d40922d67a5ce301ac93fe2a0c3f964c4e5d39c39c02083b6b1d583

Observation ee8922e7-90fe-40b8-a220-9d21f38a80db · outbound

This paper cites A Review of Anonymization for Healthcare Data.

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models A Review of Anonymization for Healthcare Data

Reference 4

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verified exact
arxiv_id, observed 2026-06-29T18:43:51.476206Z

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.

source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:61fa8594a934bb91d3a19a73c0583124727c15318bb6069b09ee9e9e5da8efb8

Observation d2e1e7e7-fa7f-454e-8f8e-9d0e5674548a · outbound

This paper cites Artificial data pilot, 2025.

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models Artificial data pilot, 2025

Reference 5

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source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:d298ee2054ed58f9b65e7e63bc3c5f867258625843d7378162ffaddc19e8ba08

Observation 3e19c98f-a2e4-4cfb-ba4a-24bbb9fca4b5 · outbound

This paper cites Synthea: Synthetic patient population simulator, 2026.

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models Synthea: Synthetic patient population simulator, 2026

Reference 6

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source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:7bf822c9165bfee32eed1597fd4efd3ef28e57778bc2b76367fa21db9d6132ec

Observation 4af4e84b-d273-4ea7-94ad-3f49de5c00ab · outbound

This paper cites Agent hospital: A simulacrum of hospital with evolvable medical agents, 2025.

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models Agent hospital: A simulacrum of hospital with evolvable medical agents, 2025

Reference 7

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no resolver link, observed 2026-06-29T05:01:08.274158Z

Source-reported events for the cited work

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source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:2a980e92ccbfd8032ae2cc7cee96c7036c05a7ffb605ca17c3a38f7460b8f1f1

Observation 458e32a2-8540-41da-ad7d-9f99ac585dc8 · outbound

This paper cites Sdv (synthetic data vault) developer documentation, 2026.

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models Sdv (synthetic data vault) developer documentation, 2026

Reference 8

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no resolver link, observed 2026-06-29T05:01:08.274158Z

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source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:b330f2f7f25fd79cbec43ced942a1691dd3a211132eb73c207addc22e7ac5882

Observation b22b8643-2e83-4cea-8ba9-34f463f5eb2d · outbound

This paper cites Swpc synthea: Uk adaptation of the synthea synthetic patient generator, 2026.

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models Swpc synthea: Uk adaptation of the synthea synthetic patient generator, 2026

Reference 9

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source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:48ebffb4f90f56f7d1b624981196a386892f83058e54a7639f40187be5a0d12c

Observation 33814419-b3e1-4981-bd5b-406ec7cce1af · outbound

This paper cites Springer Nature Switzerland, 2024.

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models Springer Nature Switzerland, 2024

Reference 10

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no resolver link, observed 2026-06-29T05:01:08.274158Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:9ad168cf8a108c08d7940656aae0f4885076bb121f1a3592226e0c420e412462

Observation a9b2b5e4-1e87-4c25-bb0b-7b366bca0558 · outbound

This paper cites A comprehensive taxonomy of hallucinations in large language models, 2025.

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models A comprehensive taxonomy of hallucinations in large language models, 2025

Reference 11

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source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:c1131ce32ecb66a84b7ece547555ce4c21d4c9146b879c8f6fbe28f3fa948a1b

Observation 4896931e-f433-4d93-84a7-992e287757bf · outbound

This paper cites Medical hallucination in foundation models and their impact on healthcare.medRxiv, 2025.

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models Medical hallucination in foundation models and their impact on healthcare.medRxiv, 2025

Reference 12

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source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:d1b9d50f63ebd458da8dedc9720e620d59355d347bb9f08de264fa5e679bc457

Observation ffb86335-0eda-4e37-b4b2-0a213986cdfe · outbound

This paper cites an unresolved cited work.

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models Unresolved cited work

Reference 13

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no resolver link, observed 2026-06-29T05:01:08.274158Z

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source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:cec76c69f47824d09b71a82b726ff61dbdb64896182fc02b748d4da2dc7a3c26

Observation 75cb91e2-a657-4d68-888a-83dcb270d05f · outbound

This paper cites Smith, Nima PourNejatian, Anthony B.

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models Smith, Nima PourNejatian, Anthony B

Reference 14

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source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:f5b143622d71c3ddd82aff7fac22854a9cd04309f6b733248393a623b1dbe8b4

Observation 18883a39-7841-4e4e-99da-d8b01b48089b · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models, 2023.

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models Chain-of-thought prompting elicits reasoning in large language models, 2023

Reference 15

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source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:c44879ac4014d7474c6deb9f5e6aad1c181013c402a7d7d846cb7578c72ab7b7

Observation 4135ae20-9f26-402b-8744-f6dc98ab53a4 · outbound

This paper cites Hallucination Mitigation using Agentic AI Natural Language-Based Frameworks.

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models Hallucination Mitigation using Agentic AI Natural Language-Based Frameworks

Reference 16

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verified exact
arxiv_id, observed 2026-06-29T18:43:51.478979Z

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.

source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:60ad9eca2328c591a5674d287650bd8994a2533077ed14991f1f88e391bc884c

Observation 5ee7a3db-1b2e-4a49-aaa1-55665b9088df · outbound

This paper cites A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics.Information Fusion, 118:102963, 2025.

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics.Information Fusion, 118:102963, 2025

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:5d1e4f79edf8a2fc0a2dbb237efede6b359b6e75a4288574580032ac4bc32536

Observation 0db23f19-fcef-4cdf-9bda-62e6eaf1a766 · outbound

This paper cites Benchmarking retrieval-augmented generation for medicine, 2024.

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models Benchmarking retrieval-augmented generation for medicine, 2024

Reference 18

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source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:f4155da4da44dc16c05b9a4de0e417485c013a443522bd8feea0293830a18ad0

Observation d4f98a5d-9455-450c-8a79-946ab219f02b · outbound

This paper cites Reasoning-enhanced healthcare predictions with knowledge graph community retrieval, 2025.

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models Reasoning-enhanced healthcare predictions with knowledge graph community retrieval, 2025

Reference 19

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source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:0cbee7cc40c778e991f9640d2d882e8f5d38937ae781af660a33a5a942bc256a

Observation c2f2317f-8e86-45aa-b1d4-e1a025192e7d · outbound

This paper cites A survey on llm-as-a-judge, 2025.

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models A survey on llm-as-a-judge, 2025

Reference 20

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no resolver link, observed 2026-06-29T05:01:08.274158Z

Source-reported events for the cited work

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source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:dabd14c8c9e0e3c953ef32b59cd5b66223260febda5f9c22ef68e4b131373307

Observation 6afc7cad-4aec-46d8-984a-465d10cb35d7 · outbound

This paper cites Justice or prejudice? quantifying biases in llm-as-a-judge, 2024.

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models Justice or prejudice? quantifying biases in llm-as-a-judge, 2024

Reference 21

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source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:7358c0caa1b5b4c6c4ecf0727550c51088584c950c762ea9f25ea0633d799a96

Observation 3a742162-d064-4412-9b09-c770ce7e2fe9 · outbound

This paper cites typo: A python package to simulate typographical errors, 2023.

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models typo: A python package to simulate typographical errors, 2023

Reference 22

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no resolver link, observed 2026-06-29T05:01:08.274158Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:a4d90191a794f83a1c8d420457874e2f91c89db30baf7eb6f810bb20e374d8ac

Observation 4fc47145-9835-4a2a-98f3-ba2235fabd29 · outbound

This paper cites Evaluating gender bias in large language models in long-term care.BMC Medical Informatics and Decision Making, 25(1):274, 2025.

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models Evaluating gender bias in large language models in long-term care.BMC Medical Informatics and Decision Making, 25(1):274, 2025

Reference 23

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source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:42c2c593bcdfbb00178502d6bb80c2b8f9a448e77b2e8737ad6a1bbcae9fe62d

Pith citing papers

No inbound Pith citation observations are available.