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Paper Citation Record · LEDGER

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

As of 13 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 2026-08-13T06:32:02.005865+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=sha256:8605ed5fa40c8fb1e98b1ef714949f0afbb93de02e199598acf697da3d0d174a

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=sha256:68d2fe1da7a9f33344649c9d0cc8f7caf85a8ea755d788317676d8ad23b41780

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=sha256:89a58980ffa8c4c5f7b9653368542364beb82c596a7f4a1157420a3944096d2a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:f523fa177a99af6da1b1921cf5b3204a3c1c41a4b2e1a4c65835ef8c54c4a02e

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=sha256:151f863d3fc24e66ac4fe898d7d79140fdb62a174f81f6f64706d33e6594d905

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:397b11cc55a0e873f40439f9b8f40c2e8c5218c97dd3be07b54af3fd78c62514

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

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source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:218db6b22a3adcaf8517956240f760a97ec4de682d95b0bf4d515b289f4f4b9f

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:c7c7cf6fc27a67a59c9b9224b1f2375dd2a213c4062ccf2b36f2393f77dc77be

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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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:d0fd62fd9b3493a59394efe5e082ac076b50a83425643eddef9c10466fc6cf69

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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source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:90e2c365ee9238f734703c8b4e74958fee1cdf1f1657e96579ff684f90a8934a

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:decb503fd91594cc6e15ef3887cb0acd319d796013d3d778ea9922b1db204021

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=sha256:659027acf922a32443743a8365b2fe30beca5bb35bacd16f869ed1cb87321969

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:ac1fb6a02cc9c13f99f968d53ffd2562d254c33d2c10d14744b88262add9bba0

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:aa1d08fd5226bfaa9a9a4bd2695ed968b5ad4d6fa4cfb8c0c688b2649e12fc44

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:ac1ca43ef6b426f14db7f87d46837b79ca89fdae19a76410949b1d303d9f3238

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:af529cd55bb5c9a689ee9b903c3f8bb89da1d831ab84c3c3de2adc5785bc49f9

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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source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:f348ba47e708ab65e3e685fe96180157a7f809952bfc43a08bc73eb304fd5614

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:aee7e76249da67ecf4fa9bd253c71209ee36a05fcdde29b0c21db4d9ea6b9a92

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:ed6a50261dd7ee56895350cf7c6fd5872861459a72be9953190de9d721f7db8b

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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source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:304826bb0edbaec875be6ad4267dfa9958df49f77106531631dade9f2447e445

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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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=sha256:3d525d7f78152a3b97c6cf278ca462d23be86f9b3a6f9e6f104d96e525175487

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:597d1dd08f467ae98b0b5215e0213c7d3040f9d676096c39743d34220debea1b

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:01:08.274158Z digest=sha256:9c75ef9598266a477805d31ac15065e40caaeac66652f121e3e845bd37686bae

Pith citing papers

No inbound Pith citation observations are available.