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Paper Citation Record · LEDGER

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation

As of 8 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2507.03033.

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

pith.paper-citation-record.v1
2507.03033 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:39:09.538889Z

measured 25 of 25 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T23:18:59.283834Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:24:01.722353Z

Reference resolution

24 of 24 outbound references displayed

  • verified exact3
  • verified fuzzy4
  • unresolved14
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9e0a809a-3bb7-4f56-8a41-d60b505f53f9 · outbound

This paper cites an unresolved cited work.

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:39:12.568832Z

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.

source=pdf_text observed=2026-08-06T20:39:07.624642Z digest=sha256:44abf08e3dbbbb467adda6e438db1c317942a70517f785f317457b7094c29006

Observation b3bc89ad-b88e-4a44-acab-b7c136d1ac3a · outbound

This paper cites Google's Med-PaLM and Med-PaLM 2 demonstrated that LLMs could achieve physician-level performance on medical question-answering tasks [8].

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation Google's Med-PaLM and Med-PaLM 2 demonstrated that LLMs could achieve physician-level performance on medical question-answering tasks [8]

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:12.384558Z

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.

source=pdf_text observed=2026-08-06T20:39:07.711365Z digest=sha256:87541aa4b9deba0357b35d0b151ce5bc13334c116d69f5a43ec4e7ea8e0278f6

Observation 64173515-681c-4045-85e6-a3641652b15d · outbound

This paper cites Fine-tuning was performed using PEFT with LoRA adaptation, implemented through the Unsloth library for accelerated training and merging.

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation Fine-tuning was performed using PEFT with LoRA adaptation, implemented through the Unsloth library for accelerated training and merging

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:12.173705Z

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.

source=pdf_text observed=2026-08-06T20:39:07.808333Z digest=sha256:4a4909eb6a20e22dd4619fc049e05e4066b6737dbe0c938ea30aa02821e4671b

Observation 52becebf-0e0c-43ec-881f-cf68d0939407 · outbound

This paper cites an unresolved cited work.

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:39:11.955592Z

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.

source=pdf_text observed=2026-08-06T20:39:07.902565Z digest=sha256:66e92dced34bed380270079b658fe486dcb1d806767aa53aa9c7706d8661dde9

Observation eb492e15-6e94-407d-820b-46097985c3bf · outbound

This paper cites an unresolved cited work.

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:39:11.751632Z

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.

source=pdf_text observed=2026-08-06T20:39:07.980133Z digest=sha256:889f87cbaf65ab92eb1f55a96cfc8b35163dff60cae82503683c51cff3efb9e8

Observation ad09480a-defb-4576-8bbb-4169c0fe537f · outbound

This paper cites an unresolved cited work.

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:39:11.601356Z

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.

source=pdf_text observed=2026-08-06T20:39:08.041328Z digest=sha256:d0768ac17cd52e748f82a387cca3042fe3527fcfeccbc29b953b37d46f524952

Observation 96b9eab2-410d-4e37-aa1a-8f47c88138ce · outbound

This paper cites an unresolved cited work.

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:39:11.416295Z

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.

source=pdf_text observed=2026-08-06T20:39:08.111315Z digest=sha256:a199f3606bad23ab43bc5ab70de6c037e655a2599f6a4e8063b726aacc258efb

Observation 513f6593-6713-4de6-a4e4-786433412dc1 · outbound

This paper cites an unresolved cited work.

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T20:39:08.155477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:39:08.155477Z digest=sha256:2e7fcf3d9a9bb10e28f278f0e5b522abd128bd0bbde168726bc2614b5cd24a82

Observation 62ad52ba-2d33-44d8-b442-4fc3d843d3d9 · outbound

This paper cites Allocation of Physician Time in Ambulatory Practice: A Time and Motion Study in 4 Specialties.

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation Allocation of Physician Time in Ambulatory Practice: A Time and Motion Study in 4 Specialties

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T20:39:08.243611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:39:08.243611Z digest=sha256:7626b0f95aca7185e5c090e8e85875fa3416920954ab90246c3ca3bd17a3fa59

Observation 404505fb-c568-45a2-b7b2-6c274e35b99d · outbound

This paper cites Impact of Electronic Health Record Use on Cognitive Load and Burnout Among Clinicians: Narrative Review.

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation Impact of Electronic Health Record Use on Cognitive Load and Burnout Among Clinicians: Narrative Review

Reference 10

Resolution
malformed identifier
no resolver link, observed 2026-08-06T20:39:08.333412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:39:08.333412Z digest=sha256:c0e22b4eef649593c96027829404bdb6e3bbc609979ae1f5d801650911595832

Observation 280a6cec-8fdc-4886-85c8-2d5bb2481619 · outbound

This paper cites Roles and Potential of Large Language Models in Healthcare: A Comprehensive Review.

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation Roles and Potential of Large Language Models in Healthcare: A Comprehensive Review

Reference 11

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T20:39:10.835791Z

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.

source=pdf_text observed=2026-08-06T20:39:08.419645Z digest=sha256:25cba2e243f23eacd17b6d80de8c1317e43623bb6b7b6747bb73c4630de4c0e4

Observation 5e53836c-f1b9-4d3d-8025-87a6451fef81 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation LoRA: Low-Rank Adaptation of Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T20:39:08.526392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:39:08.526392Z digest=sha256:9e39633b63778717a320c20ef92b9e4c27de14994e0ffff3650949c852ef15c7

Observation 45226fba-1e19-47b7-9140-4448ee23de25 · outbound

This paper cites Toward expert-level medical question answering with large language models.

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation Toward expert-level medical question answering with large language models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T20:39:08.639078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:39:08.639078Z digest=sha256:95dc309e8c79021ff21cc94074ee903a2cc1c8cbe4df90e0d2a5a6fc468c27e9

Observation 15eb0885-6911-42d8-8481-31a0c5b9bb34 · outbound

This paper cites MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data.

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T20:39:08.708942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:39:08.708942Z digest=sha256:1d345c48b79cd098406772c27e1ef881a3700192bef7cd8c8e980eab06da7a6d

Observation 180ed773-ef88-4df6-a68e-9462df39d7dc · outbound

This paper cites The Sound of Healthcare: Improving Medical Transcription ASR Accuracy with Large Language Models.

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation The Sound of Healthcare: Improving Medical Transcription ASR Accuracy with Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T20:39:08.778374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:39:08.778374Z digest=sha256:49197bb554cd5f04e24b77ae323ba121efbf7dd1ef2add4950d72388844cf859

Observation fe3be04b-785b-4af4-9406-0457bbf1881c · outbound

This paper cites SpecialtyScribe: Enhancing SOAP note Scribing for Medical Specialties using LLMs.

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation SpecialtyScribe: Enhancing SOAP note Scribing for Medical Specialties using LLMs

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:11.222192Z

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.

source=pdf_text observed=2026-08-06T20:39:08.849397Z digest=sha256:cda77f8cbcb394106057c6e29be17926d51ddd6914a011f166c78494a757f13a

Observation 2953a495-4fd0-444f-8a3c-6135e7bf1cbc · outbound

This paper cites Federated machine learning in healthcare: A systematic review on clinical applications and technical architecture.

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation Federated machine learning in healthcare: A systematic review on clinical applications and technical architecture

Reference 17

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T20:39:10.506141Z

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.

source=pdf_text observed=2026-08-06T20:39:08.903393Z digest=sha256:a2dbee2b9b029e4bd22d9d8822e2652d66d0868172e4219f24a8e09c89db9c9f

Observation bfd443a7-53ab-4e53-a20c-7074030df5e4 · outbound

This paper cites KidneyTalk-open: No-code Deployment of a Private Large Language Model with Medical Documentation-Enhanced Knowledge Database for Kidney Disease.

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation KidneyTalk-open: No-code Deployment of a Private Large Language Model with Medical Documentation-Enhanced Knowledge Database for Kidney Disease

Reference 18

Resolution
verified exact
raw_fallback, observed 2026-08-06T20:39:10.238589Z

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.

source=pdf_text observed=2026-08-06T20:39:08.980762Z digest=sha256:dc96bb97768241553c6de3c83ad2063907702011cc049ab347a926bb43d4475c

Observation 3ce45698-4b6d-4ceb-bd8d-a454206e5d25 · outbound

This paper cites Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning.

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:39:09.950744Z

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.

source=pdf_text observed=2026-08-06T20:39:09.055615Z digest=sha256:d4430e68dfc72315c5fc3c6222e080b224572617ad6d3645867d454743e37d9c

Observation 85359d7b-680d-4049-82c5-2fb0ad53c672 · outbound

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

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation Rouge: A package for automatic evaluation of summaries

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:39:11.048414Z

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.

source=pdf_text observed=2026-08-06T20:39:09.148440Z digest=sha256:be17f334842be5e192e5cc8852b9b406eff8b9cb446b3cb49869b387de3e5a64

Observation ffca165e-7e72-4db0-892f-0b2616804f7d · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation BERTScore: Evaluating Text Generation with BERT

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T20:39:09.277230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:39:09.277230Z digest=sha256:e39b3f379a90d22b0c7be36d638881d04a165364249f3af792f25d71e9ca3c76

Observation 531449bd-5594-4489-b6d9-a368e974c07b · outbound

This paper cites BLEURT: Learning Robust Metrics for Text Generation.

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation BLEURT: Learning Robust Metrics for Text Generation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T20:39:09.350124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:39:09.350124Z digest=sha256:512b3f7781199fb4eebe8bce16729e8f9472dab56c5953194135d122e691d524

Observation 3616ca20-f9f8-422c-9f29-f93ec0050e1d · outbound

This paper cites Analyzing and interpreting data from likert-type scales.

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation Analyzing and interpreting data from likert-type scales

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T20:39:09.451300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:39:09.451300Z digest=sha256:f0a7cd09fa604c9637f6873098ef29aea5b1096c0b0124d6b29053c15b79bf05

Observation c2ce8435-c877-4252-8087-830504486c5e · outbound

This paper cites Human Evaluation and Correlation with Automatic Metrics in Consultation Note Generation.

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation Human Evaluation and Correlation with Automatic Metrics in Consultation Note Generation

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:39:09.753467Z

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.

source=pdf_text observed=2026-08-06T20:39:09.538889Z digest=sha256:57cf7ba935099f07b6d1618c2cca2e1ba0054309fdaa162f5275ae1038129887

Pith citing papers

Observation af17c516-80b2-4a1f-8a5c-c77b44b26f00 · inbound

LLM-as-a-Judge in Healthcare: A Scoping Analysis of Applications, Methods, and Human Alignment cites this paper.

LLM-as-a-Judge in Healthcare: A Scoping Analysis of Applications, Methods, and Human Alignment Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation

Reference 146

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:24:01.723646Z

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.

source=pdf_text observed=2026-06-29T23:18:59.283834Z digest=sha256:ceef1f6d152e5720b668316f53a33785fef8fa7c4903a70ba93a1e501616b81c