Paper Citation Record · LEDGER

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis

As of 7 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 2 inbound Pith citation observations for arXiv:2507.01053.

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

pith.paper-citation-record.v1
2507.01053 v4

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T00:05:21.750651Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T01:31:07.031424Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

31 of 31 outbound references displayed

verified exact4
verified fuzzy24
unresolved1
parse uncertain1
malformed identifier1
metadata mismatch0

External citation measurements

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation da94be43-2746-4ad1-aa0b-76590b07dbc1 · outbound

This paper cites Electronic health records: then, now, and in the future.Yearbook of medical informatics, 25(S 01):S48–S61.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Electronic health records: then, now, and in the future.Yearbook of medical informatics, 25(S 01):S48–S61

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:05:47.815789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4378be2c-284e-4e83-9ecc-da86fe6cfcea · outbound

This paper cites an unresolved cited work.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-05-22T00:05:47.853781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b357b4b9-9beb-424a-b071-d2536dabcc9e · outbound

This paper cites Generative ai tracker.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Generative ai tracker

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:05:47.847104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 605f835d-4323-4497-9df6-feb07ea93534 · outbound

This paper cites Health system-scale language models are all-purpose prediction engines.Nature, 619(7969):357–362.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Health system-scale language models are all-purpose prediction engines.Nature, 619(7969):357–362

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:05:47.837952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 05f52292-82c4-429b-af5b-401ca109782b · outbound

This paper cites Abel, Mary Tolikas, and Jason M.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Abel, Mary Tolikas, and Jason M

Reference 5

Resolution: verified exact; doi, observed 2026-05-22T00:05:47.422735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 12c1b659-c012-4063-9964-869280aa450a · outbound

This paper cites Model context protocol (mcp).

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Model context protocol (mcp)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:05:47.840219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2773e2bb-4fd5-4f1c-91e8-046c3ee99a15 · outbound

This paper cites Celi, and Roger Mark.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Celi, and Roger Mark

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:05:47.827091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6ef8c678-c0e0-452e-bc8a-181af9e7bd6a · outbound

This paper cites Physiobank, physiotoolkit, and physionet: Components of a new research resource for complex physiologic signals.Circulation, 101(23):e215–e220.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Physiobank, physiotoolkit, and physionet: Components of a new research resource for complex physiologic signals.Circulation, 101(23):e215–e220

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:05:47.820718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 49ebe91e-787e-47df-98ca-ea5163329e4d · outbound

This paper cites EHRSQL 2024 Dataset – MIMIC-IV Test Set.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis EHRSQL 2024 Dataset – MIMIC-IV Test Set

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:05:47.810725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 56b9239c-1bc1-4acb-8761-2990baa33488 · outbound

This paper cites Mimic-iv clinical database demo (version 2.2).

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Mimic-iv clinical database demo (version 2.2)

Reference 10

Resolution: malformed identifier; doi_truncated, observed 2026-05-22T00:05:47.432853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bfbefece-c3a1-4398-8bf1-f2bccee39de7 · outbound

This paper cites Reisner, Gari Clifford, Li-wei Lehman, George Moody, Thomas Heldt, Tin H.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Reisner, Gari Clifford, Li-wei Lehman, George Moody, Thomas Heldt, Tin H

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:05:47.831187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6d36b574-051a-431e-9a9a-10a0f48e4043 · outbound

This paper cites Mimic-iv (version 2.2).

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Mimic-iv (version 2.2)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:05:47.833370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 70d9e5df-22a6-459c-af28-c236e6f14108 · outbound

This paper cites Sqlucid: Grounding natural language database queries with interactive explanations.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Sqlucid: Grounding natural language database queries with interactive explanations

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:05:47.835519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 205ca3df-f037-4a3f-9e52-3ba12c7cd0c1 · outbound

This paper cites Hl7 fhir standard, Accessed 2025.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Hl7 fhir standard, Accessed 2025

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:05:47.829168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e33d8dad-83b9-4332-b423-51963897a330 · outbound

This paper cites Mimic-iv on fhir: converting a decade of in-patient data into an exchangeable, interoperable format.Journal of the American Medical Informatics Association, 30(4):718–725.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Mimic-iv on fhir: converting a decade of in-patient data into an exchangeable, interoperable format.Journal of the American Medical Informatics Association, 30(4):718–725

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:05:47.798710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 58aab709-3f23-4e7b-94af-15931f32c0ba · outbound

This paper cites Standardized data: The omop common data model, Accessed 2025.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Standardized data: The omop common data model, Accessed 2025

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:05:47.822932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aaa54dfa-93b4-4ff2-99c7-7a636e182e77 · outbound

This paper cites Text-to-sql generation for question answering on electronic medical records.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Text-to-sql generation for question answering on electronic medical records

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:05:47.796211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cae9a8e7-8605-4e2d-b938-fb1cd79986e8 · outbound

This paper cites Ehrsql: A practical text-to-sql benchmark for electronic health records.Advances in Neural Information Processing Systems, 35:15589–15601.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Ehrsql: A practical text-to-sql benchmark for electronic health records.Advances in Neural Information Processing Systems, 35:15589–15601

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:05:47.801350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 30439d13-48cb-406f-8a00-470071578e5e · outbound

This paper cites Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls.Advances in Neural Information Processing Systems, 36.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls.Advances in Neural Information Processing Systems, 36

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:05:47.818014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4427af31-23d0-4dd4-85a2-463651436fb8 · outbound

This paper cites Spider: A large-scale human-labeled dataset for complex and cross-domain text-to-sql tasks.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Spider: A large-scale human-labeled dataset for complex and cross-domain text-to-sql tasks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:05:47.849501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation df7f622a-2c6a-4492-a4e7-342e9466f1c4 · outbound

This paper cites Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-22T00:05:47.457876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7c1e4f1f-6ec4-4a5d-9095-ff8c963c2429 · outbound

This paper cites Biomedsql: Text-to-sql for scientific reasoning on biomedical knowledge bases.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Biomedsql: Text-to-sql for scientific reasoning on biomedical knowledge bases

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:05:47.444984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8fefdd03-4a47-41b5-8252-5f9e89d64bf0 · outbound

This paper cites Overview of the EHRSQL 2024 shared task on reliable text-to-SQL modeling.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Overview of the EHRSQL 2024 shared task on reliable text-to-SQL modeling

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:05:47.842636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2ee99a85-60a1-4958-a65a-9f88e657659f · outbound

This paper cites Sql injection prevention cheat sheet.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Sql injection prevention cheat sheet

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:05:47.825057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e64e63a1-2c9b-49df-8685-b91ace5faf92 · outbound

This paper cites Model context protocol (mcp) in pharma.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Model context protocol (mcp) in pharma

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:05:47.808156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 77664f49-457b-4ad2-b40d-180b95d69ab0 · outbound

This paper cites Future of industrial automation: Trends and predictions for mcp server adoption in smart manufacturing.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Future of industrial automation: Trends and predictions for mcp server adoption in smart manufacturing

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:05:47.844941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c1f77e87-1b31-4638-9b04-7b03f084a43e · outbound

This paper cites an unresolved cited work.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Unresolved cited work

Reference 27

Resolution: parse uncertain; raw_fallback, observed 2026-05-22T00:05:47.803482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b46d83a5-c925-421f-b38f-07dbb7ec4181 · outbound

This paper cites EHRSQL-2024 GitHub Repository.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis EHRSQL-2024 GitHub Repository

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:05:47.805980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 29a6ea8e-5b76-4551-adf8-f53574288c4c · outbound

This paper cites Evaluating Cross-Domain Text-to-SQL Models and Benchmarks.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Evaluating Cross-Domain Text-to-SQL Models and Benchmarks

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:05:47.452562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5a486ac8-996e-4621-8017-3f4f97e80c04 · outbound

This paper cites AmbigQA: Answering ambiguous open-domain questions.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis AmbigQA: Answering ambiguous open-domain questions

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:05:47.813118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 71350252-fc4d-4080-b835-5d2ab9d34932 · outbound

This paper cites Large language models encode clinical knowledge.Nature, 620(7972):172–180.

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis Large language models encode clinical knowledge.Nature, 620(7972):172–180

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:05:47.851768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation a0afb4f6-3b3f-4ed3-9f41-0f2186b82b88 · inbound

Coding-Free and Privacy-Preserving Agentic Framework for Data-Driven Clinical Research cites this paper.

Coding-Free and Privacy-Preserving Agentic Framework for Data-Driven Clinical Research M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis

Reference 23

Resolution: malformed identifier; arxiv_id, observed 2026-05-11T09:16:00.783687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 965b92a8-13c8-4d30-9b9b-ca62bd81c8e9 · inbound

ClinQueryAgent: A Conversational Agent for Population Health Management cites this paper.

ClinQueryAgent: A Conversational Agent for Population Health Management M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-21T01:33:56.146203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.