Paper Citation Record · LEDGER

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning

As of 15 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2507.07419.

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

pith.paper-citation-record.v1
2507.07419 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:48:18.824747Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

47 of 47 outbound references displayed

verified exact2
verified fuzzy26
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c656728-7205-4f5a-bd80-7baf505f64c4 · outbound

This paper cites & Ramasamy, R.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning & Ramasamy, R

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.777602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4ca02761-d3c4-459d-baf4-0d22eff34435 · outbound

This paper cites Medicine7, 88 (2024).

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning Medicine7, 88 (2024)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.744854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e2d5ec2f-dc67-4796-a180-3de23a641d6e · outbound

This paper cites & Hallowell, N.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning & Hallowell, N

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.712980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bdf929e2-c62f-4ae7-8786-58d0581a71aa · outbound

This paper cites L.et al.Reviewing the potential role of artificial intelligence in delivering personalized and interactive pain medicine education for chronic pain patients.J.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning L.et al.Reviewing the potential role of artificial intelligence in delivering personalized and interactive pain medicine education for chronic pain patients.J

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.694071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ac6b4d8f-328c-4ac5-a62e-12e9d7a7de4c · outbound

This paper cites About the blue button movement.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning About the blue button movement

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.679468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 010ab7f5-daca-4565-a971-0639ac1cbdf0 · outbound

This paper cites Artificial intelligence and health literacy—proceed with caution.Heal.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning Artificial intelligence and health literacy—proceed with caution.Heal

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.665225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 69a7674c-ebd0-4d4a-9855-6af0da02200f · outbound

This paper cites GPT-4 Technical Report.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning GPT-4 Technical Report

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T18:48:18.630418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de9e7c94-a221-4832-b7a0-bc56c4a9f3c3 · outbound

This paper cites H.et al.Performance of chatgpt on usmle: potential for ai-assisted medical education using large language models.PLoS digital health2, e0000198 (2023).

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning H.et al.Performance of chatgpt on usmle: potential for ai-assisted medical education using large language models.PLoS digital health2, e0000198 (2023)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.649584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4e33ae9e-2f2a-415f-9aa7-4bec9da239f6 · outbound

This paper cites an unresolved cited work.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:48:19.631756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 89ec5bd4-76f6-4eed-975f-3b097edcaab3 · outbound

This paper cites In Findings of the Association for Computational Linguistics: EMNLP 2024, 12609–12629 (2024).

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning In Findings of the Association for Computational Linguistics: EMNLP 2024, 12609–12629 (2024)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.615622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3fd126ba-ed93-40b9-a1e4-0c6e365901f9 · outbound

This paper cites & Cohen, T.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning & Cohen, T

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.599133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c64046b4-e8b0-4828-9b58-778d4e264e96 · outbound

This paper cites Readability Controllable Biomedical Document Summarization.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning Readability Controllable Biomedical Document Summarization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T18:48:18.652335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0da36209-515e-4b9a-aaf7-8ca0b9fe1af6 · outbound

This paper cites an unresolved cited work.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:48:19.582231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8689fd64-0598-4f37-a0ac-93bd5d88aea6 · outbound

This paper cites APPLS: Evaluating Evaluation Metrics for Plain Language Summarization.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning APPLS: Evaluating Evaluation Metrics for Plain Language Summarization

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:48:19.136693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a115faf5-412f-4f6f-8eef-0217a7255e57 · outbound

This paper cites Controllable Text Generation for Large Language Models: A Survey.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning Controllable Text Generation for Large Language Models: A Survey

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T18:48:18.665928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfdd5c1a-060a-4b56-887e-d40cd5f5b6ed · outbound

This paper cites & Albarrak, A.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning & Albarrak, A

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.563811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3eb96cfd-6c6e-4242-852c-42954930cf98 · outbound

This paper cites From General to Specific: Tailoring Large Language Models for Personalized Healthcare.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning From General to Specific: Tailoring Large Language Models for Personalized Healthcare

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:48:19.077462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4d5ea63e-12af-40cf-af8a-ecc1fdf88f32 · outbound

This paper cites Medicine7, 329 (2024).

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning Medicine7, 329 (2024)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.536061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f2b9614a-6036-459a-935b-c3e1816e8bda · outbound

This paper cites K., Glick, A.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning K., Glick, A

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.506480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5132db08-50c0-4189-8662-dfc3cff50eab · outbound

This paper cites & Paudyal, V.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning & Paudyal, V

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.484746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f6ad8fb1-3dcf-4464-9271-e856dc0e2cb9 · outbound

This paper cites (ed.)AHRQ Health Literacy Universal Precautions Toolkit(Agency for Healthcare Research and Quality, Rockville, MD, 2024), 3rd edn.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning (ed.)AHRQ Health Literacy Universal Precautions Toolkit(Agency for Healthcare Research and Quality, Rockville, MD, 2024), 3rd edn

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.449040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a9441e21-df69-4610-b249-6715bf24c185 · outbound

This paper cites an unresolved cited work.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:48:19.432274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1b1d2184-e28d-473f-9f21-20786f7a9e99 · outbound

This paper cites & Unger, J.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning & Unger, J

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.413751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e3bdd9e3-2a15-4caa-bb92-0d04ce48518a · outbound

This paper cites neural information processing systems33, 9459–9474 (2020).

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning neural information processing systems33, 9459–9474 (2020)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.398498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 97e437a6-e2c9-4bcd-b542-579818cd73b0 · outbound

This paper cites VeriFact: Verifying Facts in LLM-Generated Clinical Text with Electronic Health Records.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning VeriFact: Verifying Facts in LLM-Generated Clinical Text with Electronic Health Records

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T18:48:18.709970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19069386-94ad-45bf-9854-3a8820260219 · outbound

This paper cites Prompt-Based Length Controlled Generation with Reinforcement Learning.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning Prompt-Based Length Controlled Generation with Reinforcement Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T18:48:18.714746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f09dd33e-e5d6-4e26-9d47-ec3e91cb9b24 · outbound

This paper cites InFoBench: Evaluating Instruction Following Ability in Large Language Models.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning InFoBench: Evaluating Instruction Following Ability in Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T18:48:18.719781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3ac83ea-c24d-4459-82a3-77111cfd7ff4 · outbound

This paper cites Limitations of the LLM-as-a-Judge Approach for Evaluating LLM Outputs in Expert Knowledge Tasks.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning Limitations of the LLM-as-a-Judge Approach for Evaluating LLM Outputs in Expert Knowledge Tasks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T18:48:18.725005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba508122-5682-423b-a22a-6aaae424ea05 · outbound

This paper cites & Margetis, K.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning & Margetis, K

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.381506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bff9eff8-1830-47c1-8567-26ff7e21675c · outbound

This paper cites & Atun, R.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning & Atun, R

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.363678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a719a5aa-a8b9-4169-91c4-b46b326637e3 · outbound

This paper cites M., Schmerder, M.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning M., Schmerder, M

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.345112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ee11ecd5-f3ac-4c74-bfa6-946acc8283ab · outbound

This paper cites Shaping the future of ai in healthcare through ethics and governance.Humanit.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning Shaping the future of ai in healthcare through ethics and governance.Humanit

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.329033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e9deae70-8072-4964-8815-04da14fe83a9 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning Finetuned Language Models Are Zero-Shot Learners

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T18:48:18.747546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dccac3bf-6ccb-48b6-b3ba-65f2e98a1984 · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T18:48:18.752760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3e6cc89-e9f3-4cd2-81ce-63e5f087a945 · outbound

This paper cites an unresolved cited work.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:48:19.310667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fad9dd6a-3524-44b8-b0bd-dadd20b1ea1b · outbound

This paper cites ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T18:48:18.763238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e05485ac-2952-487f-860a-d0330a88a14a · outbound

This paper cites & Gurevych, I.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning & Gurevych, I

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.294986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 135ead32-0f56-4f2a-921b-d50a5957b361 · outbound

This paper cites InProceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 11733–11751 (2022).

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning InProceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 11733–11751 (2022)

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.276565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 177f071d-60b0-4324-9eff-6128d626dc58 · outbound

This paper cites InAMIA Annual Symposium Proceedings, vol.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning InAMIA Annual Symposium Proceedings, vol

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.259874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bc653d89-29ef-40e1-9a8d-e86935d3ce27 · outbound

This paper cites PAWS: Paraphrase Adversaries from Word Scrambling.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning PAWS: Paraphrase Adversaries from Word Scrambling

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T18:48:18.783052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bda526ea-4cd6-40c5-9beb-370653cd23a4 · outbound

This paper cites & Brockett, C.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning & Brockett, C

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.242264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3515dbe3-1785-403a-97b2-3b6045989439 · outbound

This paper cites A large annotated corpus for learning natural language inference.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning A large annotated corpus for learning natural language inference

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T18:48:18.793849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 039d004f-e002-4aac-b76a-1617f2dfe6f6 · outbound

This paper cites A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T18:48:18.800148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eed0b0c7-d6a4-44ba-99da-b12ec4311f6d · outbound

This paper cites Lessons from Natural Language Inference in the Clinical Domain.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning Lessons from Natural Language Inference in the Clinical Domain

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T18:48:18.806732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 177a0d4a-d696-4e53-90d8-0240b500443a · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning Rouge: A package for automatic evaluation of summaries

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T18:48:18.814273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b40d033-e7a4-418c-a6b0-ae65b023d065 · outbound

This paper cites & Zhu, W.-J.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning & Zhu, W.-J

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.214003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ba3bf8bf-9799-42b8-838a-3014975f8d66 · outbound

This paper cites x-ray" or even.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning x-ray" or even

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:19.196646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.