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Paper Citation Record · LEDGER

FactsR: A Safer Method for Producing High Quality Healthcare Documentation

As of 16 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2505.10360.

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

pith.paper-citation-record.v1
2505.10360 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:13:58.507862Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 352da6cd-5f0d-4214-af82-3baac04f67ab · outbound

This paper cites The process of clinical consultation is crucial to patient outcomes and safety: 10 quality indicators.

FactsR: A Safer Method for Producing High Quality Healthcare Documentation The process of clinical consultation is crucial to patient outcomes and safety: 10 quality indicators

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:13:58.759426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:13:58.426420Z digest=sha256:739440bc008ded191ee9c4fb445b5289170736e07d8f1064e68731c4776ff4b3

Observation 5741eba6-a39d-477e-988a-40528d4df09a · outbound

This paper cites The impact of electronic health record systems on clinical documentation times: A systematic review.

FactsR: A Safer Method for Producing High Quality Healthcare Documentation The impact of electronic health record systems on clinical documentation times: A systematic review

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:13:58.749124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:13:58.430675Z digest=sha256:b35e5b5cef202038c296b7c663b9937547c06c951c8929c695bc46db12e4182b

Observation a932af31-e7cd-4e6a-b31f-4107aa0842b7 · outbound

This paper cites Hart, Lorelle Martin, Julia Todd, and Nicole Hosking.

FactsR: A Safer Method for Producing High Quality Healthcare Documentation Hart, Lorelle Martin, Julia Todd, and Nicole Hosking

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:13:58.739232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:13:58.434326Z digest=sha256:7a853e977a729609c01cdbcd73fcf7763d049291475f6f717774b3dd7f12b8e6

Observation 758dde60-fa71-47c5-9568-23a385fae5db · outbound

This paper cites Ambient artificial intelligence scribes: utilization and impact on documentation time.

FactsR: A Safer Method for Producing High Quality Healthcare Documentation Ambient artificial intelligence scribes: utilization and impact on documentation time

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:13:58.729202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:13:58.438036Z digest=sha256:80d9b97feee55300f242441833477492ffb1b8b2160f8a41abce392cdc85bc0b

Observation 440e414d-aff6-4501-8596-5e47519cd2e0 · outbound

This paper cites Ambient artificial intelligence scribes to alleviate the burden of clinical documentation.

FactsR: A Safer Method for Producing High Quality Healthcare Documentation Ambient artificial intelligence scribes to alleviate the burden of clinical documentation

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:13:58.719123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:13:58.442440Z digest=sha256:da8ad0a765509238cd9ac26f61c18faa79d124648ea1ec2cbae9bf040b6e6eb4

Observation 9bdccde1-1ef4-40f8-902e-c18d775ee74d · outbound

This paper cites Enhancing clinical documentation with ambient artificial intelligence: a quality improvement survey assessing clinician perspectives on work burden, burnout, and job satisfaction.

FactsR: A Safer Method for Producing High Quality Healthcare Documentation Enhancing clinical documentation with ambient artificial intelligence: a quality improvement survey assessing clinician perspectives on work burden, burnout, and job satisfaction

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:13:58.709060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:13:58.446148Z digest=sha256:f070d1ef78fc448f6eead4edeff8f6604af61829a49f81cbf88c6f05254db1f0

Observation a4ab5be7-93eb-43b7-a77b-9589332dda6f · outbound

This paper cites Van Veen, C.

FactsR: A Safer Method for Producing High Quality Healthcare Documentation Van Veen, C

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:13:58.697160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:13:58.450844Z digest=sha256:241b725c1e461d18c3fdd27b9a64eacbeee13b36ff433d81b0c3334443cf1082

Observation 068d0c2d-cd58-45c1-8d89-b8daf151e7e7 · outbound

This paper cites Large Language Models with Temporal Reasoning for Longitudinal Clinical Summarization and Prediction.

FactsR: A Safer Method for Producing High Quality Healthcare Documentation Large Language Models with Temporal Reasoning for Longitudinal Clinical Summarization and Prediction

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T21:13:58.455050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:13:58.455050Z digest=sha256:b62c3182605d5ac36fd5041ce96484ead737f479d0a2c05445da25811a673353

Observation 6f99834d-992c-4644-a57a-3ecc30832701 · outbound

This paper cites an unresolved cited work.

FactsR: A Safer Method for Producing High Quality Healthcare Documentation Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:13:58.686336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:13:58.459406Z digest=sha256:2405bed747cffbb535a9d3759167d496f1349823b43398e59eb55ffb39d6a973

Observation d0ea9ca8-5b14-464a-9888-22e0b20a19b2 · outbound

This paper cites Inter-rater reliability and generalizability of patient note scores using a scoring rubric based on the usmle step-2 cs format.

FactsR: A Safer Method for Producing High Quality Healthcare Documentation Inter-rater reliability and generalizability of patient note scores using a scoring rubric based on the usmle step-2 cs format

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:13:58.675966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:13:58.463241Z digest=sha256:1259277eac57365cfe721a703f2762b711d190774d6cd6334daae3b315219ae1

Observation f49b8673-1b67-4a26-8aee-c60381b397d3 · outbound

This paper cites What disease does this patient have? a large-scale open domain question answering dataset from medical exams.

FactsR: A Safer Method for Producing High Quality Healthcare Documentation What disease does this patient have? a large-scale open domain question answering dataset from medical exams

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:13:58.664729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:13:58.466549Z digest=sha256:1ce9e3ab514fbf05b34990a6c7ea665e282165bc1ffa6cca674341898656221b

Observation 98fd30d8-e75b-47bd-abde-f51f8f122a74 · outbound

This paper cites Large language models are zero-shot reasoners.

FactsR: A Safer Method for Producing High Quality Healthcare Documentation Large language models are zero-shot reasoners

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:13:58.653989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:13:58.470576Z digest=sha256:c4a8cf141b766677fca32f863699f6d672dbb350e9d02137504ebe832eb127d3

Observation 55ca2158-6777-48d7-99ba-622b6abdede2 · outbound

This paper cites Chi, Quoc V.

FactsR: A Safer Method for Producing High Quality Healthcare Documentation Chi, Quoc V

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:13:58.642584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:13:58.474552Z digest=sha256:378a9ad775a0fe66b19bdad280712c7ad7042157d88f6ca13674910ebb2e4b04

Observation 3f30b428-4233-46e5-9011-4065217b5445 · outbound

This paper cites S umm QA at MEDIQA -chat 2023: In-context learning with GPT -4 for medical summarization.

FactsR: A Safer Method for Producing High Quality Healthcare Documentation S umm QA at MEDIQA -chat 2023: In-context learning with GPT -4 for medical summarization

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:13:58.630875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:13:58.478063Z digest=sha256:b8d5be7527a239d0f39f1837aec96f650ec7f5071960d6229b953943cf017fac

Observation 3d5f8860-7f59-4142-b329-e751b2b0f99c · outbound

This paper cites What`s wrong? refining meeting summaries with LLM feedback.

FactsR: A Safer Method for Producing High Quality Healthcare Documentation What`s wrong? refining meeting summaries with LLM feedback

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:13:58.620351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:13:58.481962Z digest=sha256:9903f45b134633f1e50f6c3b7f6f60982b8019a6bf93328f29b1575f92152e6f

Observation f79bf973-eb86-4a4b-9346-18b4e73535e9 · outbound

This paper cites Fine-tuning large language models for specialized use cases.

FactsR: A Safer Method for Producing High Quality Healthcare Documentation Fine-tuning large language models for specialized use cases

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:13:58.609477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:13:58.485210Z digest=sha256:a8e1efca814338aa374873ad01539195e44b473168c020c39a6921a708118a49

Observation 4f593056-af66-4fc4-a79c-3ab275ef63bd · outbound

This paper cites (in press): Primock57: A dataset of primary care mock consultations.

FactsR: A Safer Method for Producing High Quality Healthcare Documentation (in press): Primock57: A dataset of primary care mock consultations

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:13:58.598422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:13:58.489094Z digest=sha256:37dac0ee446807812dbadd43b228b56e3b7bc6cfcdac4e778e4aae98381c87f7

Observation 4d765bda-f41d-4b9c-ba59-195f7f94f44c · outbound

This paper cites Expert evaluation of large language models for clinical dialogue summarization.

FactsR: A Safer Method for Producing High Quality Healthcare Documentation Expert evaluation of large language models for clinical dialogue summarization

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:13:58.587536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:13:58.492362Z digest=sha256:c145815255eb7f6274e3a07f99e33e0aeb96f6c4bd49e2066ca3aa144d92891e

Observation 1c17be2c-e8c8-40c6-9430-2de92962a868 · outbound

This paper cites LLM-based NLG Evaluation: Current Status and Challenges.

FactsR: A Safer Method for Producing High Quality Healthcare Documentation LLM-based NLG Evaluation: Current Status and Challenges

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T21:13:58.495617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:13:58.495617Z digest=sha256:934c1a3d24bcf6485a1b003bbed0240c0b3dbd925ce93cd19e76892caf2eda71

Observation 162e8470-4a77-4f3e-927c-6e0de2dc27c0 · outbound

This paper cites LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods.

FactsR: A Safer Method for Producing High Quality Healthcare Documentation LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T21:13:58.499336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:13:58.499336Z digest=sha256:f355b33a5b97616fc8df00556ae1bc173e72c7eaa1515aa87aabbdc333562c87

Observation b5ffe7ce-fb91-4cde-850f-972c64c2f1dd · outbound

This paper cites Survey on Evaluation of LLM-based Agents.

FactsR: A Safer Method for Producing High Quality Healthcare Documentation Survey on Evaluation of LLM-based Agents

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T21:13:58.503968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:13:58.503968Z digest=sha256:e47cd3f6918b605da45ef16260de05049606c456b5a58ccef357fb4f838e04b2

Observation aed00b1c-0865-4810-953c-96f93c6f57a8 · outbound

This paper cites HealthBench: Evaluating Large Language Models Towards Improved Human Health.

FactsR: A Safer Method for Producing High Quality Healthcare Documentation HealthBench: Evaluating Large Language Models Towards Improved Human Health

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T21:13:58.507862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:13:58.507862Z digest=sha256:0e5d9fbdf4c7d3fc64ccc6fbaf08ca09159f958760cbf242f5f3ed2633576222

Pith citing papers

No inbound Pith citation observations are available.