{"as_of":"2026-08-09T13:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c395b1d2c8c8ed72b2da1cf97682c2857aa087ce5fa55458a702edba73f10be9","coverage":[{"denominator":24,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":24,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:39:09.538889Z","state":"measured"},{"denominator":25,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":25,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-29T23:18:59.283834Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-29T23:24:01.722353Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"cited_work":{"arxiv_id":"2507.03033","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.03033","snapshot_observed_at":"2026-06-29T23:24:01.722353Z","title":null,"venue":null,"work_id":"671db2da-d520-4862-baf7-02d07bf1cb58","year":2025},"citing_paper":{"arxiv_id":"2605.25273","last_updated":"2026-05-24T21:59:32Z","snapshot_observed_at":"2026-07-06T23:35:16.647496Z","submitted_at":"2026-05-24T21:59:32Z","title":"LLM-as-a-Judge in Healthcare: A Scoping Analysis of Applications, Methods, and Human Alignment","version":1},"reference_index":146,"source":"pdf_text","source_observed_at":"2026-06-29T23:18:59.283834Z"},"links":{"cited_paper":"/paper/2507.03033","citing_paper":"/paper/2605.25273"},"observation_digest":"sha256:78109231f5143abfc25becb3bf98aa99bc655fad47cb97b0cac9ef2d447c348f","observation_id":"af17c516-80b2-4a1f-8a5c-c77b44b26f00","resolution":{"observed_at":"2026-06-29T23:24:01.723646Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.03033/citation-record","integrity":"/paper/2507.03033/integrity","json":"/paper/2507.03033/citation-record.json","paper":"/paper/2507.03033"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:39:12.465165Z","title":null,"venue":null,"work_id":"b2fbb06e-caf6-4644-b302-ac8c1efa2177","year":null},"citing_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:07.624642Z"},"links":{"citing_paper":"/paper/2507.03033"},"observation_digest":"sha256:4ffc78582dabc795cbe54efa090ebd9dec501ef660fd8c402eb6f5a04f89c1b6","observation_id":"9e0a809a-3bb7-4f56-8a41-d60b505f53f9","resolution":{"observed_at":"2026-08-06T20:39:12.568832Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:39:12.288822Z","title":"Google's Med-PaLM and Med-PaLM 2 demonstrated that LLMs could achieve physician-level performance on medical question-answering tasks [8]","venue":null,"work_id":"c525bb92-3529-410f-bcb6-cd78b45f941f","year":null},"citing_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:07.711365Z"},"links":{"citing_paper":"/paper/2507.03033"},"observation_digest":"sha256:15f6b23c3b1fc782290360a65b678ef7c778557253843a776eb87a2d992da306","observation_id":"b3bc89ad-b88e-4a44-acab-b7c136d1ac3a","resolution":{"observed_at":"2026-08-06T20:39:12.384558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:39:12.062207Z","title":"Fine-tuning was performed using PEFT with LoRA adaptation, implemented through the Unsloth library for accelerated training and merging","venue":null,"work_id":"8f0cd0e8-2529-4df8-8b3b-d56d7798fab9","year":null},"citing_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:07.808333Z"},"links":{"citing_paper":"/paper/2507.03033"},"observation_digest":"sha256:41e5c5ab05929249b769472a0f4b20b4e37f7332b0a7b347e825bd7ec8cc7abe","observation_id":"64173515-681c-4045-85e6-a3641652b15d","resolution":{"observed_at":"2026-08-06T20:39:12.173705Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:39:11.860681Z","title":null,"venue":null,"work_id":"9cf0db52-1f8a-4dfd-8861-b5007ff4189c","year":null},"citing_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:07.902565Z"},"links":{"citing_paper":"/paper/2507.03033"},"observation_digest":"sha256:6a9ae08bee2478026f34d4e4ad6182965b1a129a012a69a4dac11fad02524317","observation_id":"52becebf-0e0c-43ec-881f-cf68d0939407","resolution":{"observed_at":"2026-08-06T20:39:11.955592Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:39:11.670519Z","title":null,"venue":null,"work_id":"fdd92d98-10be-40f4-becf-c7a991d2a8a4","year":2025},"citing_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:07.980133Z"},"links":{"citing_paper":"/paper/2507.03033"},"observation_digest":"sha256:fe61459c7f7615c183f5aecbca1b4bccae160d65eefb1317017457f148280ab9","observation_id":"eb492e15-6e94-407d-820b-46097985c3bf","resolution":{"observed_at":"2026-08-06T20:39:11.751632Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:39:11.511690Z","title":null,"venue":null,"work_id":"2c7b3dab-0198-4db0-a0b3-ad92ad837d26","year":null},"citing_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:08.041328Z"},"links":{"citing_paper":"/paper/2507.03033"},"observation_digest":"sha256:c954e8458783e738e9047bda503c7354b0d7dfa62fa1b1ed62c55b38f2453573","observation_id":"ad09480a-defb-4576-8bbb-4169c0fe537f","resolution":{"observed_at":"2026-08-06T20:39:11.601356Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:39:11.364236Z","title":null,"venue":null,"work_id":"31368410-cca9-4b8b-aa39-8a661a63c1c6","year":null},"citing_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:08.111315Z"},"links":{"citing_paper":"/paper/2507.03033"},"observation_digest":"sha256:f14db5bbe93754f76d615ff3a819c8914b78fdb3dc6f4757739deddf77efba74","observation_id":"96b9eab2-410d-4e37-aa1a-8f47c88138ce","resolution":{"observed_at":"2026-08-06T20:39:11.416295Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:39:08.155477Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:08.155477Z"},"links":{"citing_paper":"/paper/2507.03033"},"observation_digest":"sha256:7d66419876422c29ef664bf06529cd9b2df23316a14e73f2460c1e7a494fc186","observation_id":"513f6593-6713-4de6-a4e4-786433412dc1","resolution":{"observed_at":"2026-08-06T20:39:08.155477Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:39:08.243611Z","title":"Allocation of Physician Time in Ambulatory Practice: A Time and Motion Study in 4 Specialties","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:08.243611Z"},"links":{"citing_paper":"/paper/2507.03033"},"observation_digest":"sha256:6b422b60f9bd11d2248b58348ffd93e7ad4aa09e219fcd78280c09afa5481c41","observation_id":"62ad52ba-2d33-44d8-b442-4fc3d843d3d9","resolution":{"observed_at":"2026-08-06T20:39:08.243611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:39:08.333412Z","title":"Impact of Electronic Health Record Use on Cognitive Load and Burnout Among Clinicians: Narrative Review","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:08.333412Z"},"links":{"citing_paper":"/paper/2507.03033"},"observation_digest":"sha256:a85480511ef1c5af1733701036ef54697be9ca3fdc9f9b68a53532a98823738c","observation_id":"404505fb-c568-45a2-b7b2-6c274e35b99d","resolution":{"observed_at":"2026-08-06T20:39:08.333412Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2025.10086","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:39:10.734725Z","title":"Roles and Potential of Large Language Models in Healthcare: A Comprehensive Review","venue":null,"work_id":"27b4646f-a399-4148-af02-89dd5e8b1946","year":2025},"citing_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:08.419645Z"},"links":{"citing_paper":"/paper/2507.03033"},"observation_digest":"sha256:302f09a8865c6fe1555be017a83df7655e2bf0e6d2345f4a497615af1afb833f","observation_id":"280a6cec-8fdc-4886-85c8-2d5bb2481619","resolution":{"observed_at":"2026-08-06T20:39:10.835791Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-08-07T07:43:16.294957Z","submitted_at":"2021-06-17T17:37:18Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09685","snapshot_observed_at":"2026-08-06T20:39:08.526392Z","title":"Privacy preserving strategies for electronic health records in the era of large language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:08.526392Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2507.03033"},"observation_digest":"sha256:6a0c5ac61e959fa353186f5ff5905265c51280bb6ce2761cfd06d84ed3102670","observation_id":"5e53836c-f1b9-4d3d-8025-87a6451fef81","resolution":{"observed_at":"2026-08-06T20:39:08.526392Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:39:08.639078Z","title":"Toward expert-level medical question answering with large language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:08.639078Z"},"links":{"citing_paper":"/paper/2507.03033"},"observation_digest":"sha256:cbd87fc47ebb89a2cc7d38592823d12492599ab83f589c9812d86997e100bd20","observation_id":"45226fba-1e19-47b7-9140-4448ee23de25","resolution":{"observed_at":"2026-08-06T20:39:08.639078Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08247","last_updated":"2025-03-18T21:31:51Z","snapshot_observed_at":"2026-08-07T23:01:40.564640Z","submitted_at":"2023-04-14T11:28:08Z","title":"MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08247","snapshot_observed_at":"2026-08-06T20:39:08.708942Z","title":"MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:08.708942Z"},"links":{"cited_paper":"/paper/2304.08247","citing_paper":"/paper/2507.03033"},"observation_digest":"sha256:32285c500352e3b06061630ce08fc275e6fbbf4153d899f78bb22a98d94e6078","observation_id":"15eb0885-6911-42d8-8481-31a0c5b9bb34","resolution":{"observed_at":"2026-08-06T20:39:08.708942Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.07658","last_updated":"2024-02-12T14:01:12Z","snapshot_observed_at":"2026-08-02T10:53:18.315975Z","submitted_at":"2024-02-12T14:01:12Z","title":"The Sound of Healthcare: Improving Medical Transcription ASR Accuracy with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.07658","snapshot_observed_at":"2026-08-06T20:39:08.778374Z","title":"The Sound of Healthcare: Improving Medical Transcription ASR Accuracy with Large Language Models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:08.778374Z"},"links":{"cited_paper":"/paper/2402.07658","citing_paper":"/paper/2507.03033"},"observation_digest":"sha256:59c3bbb550392029f1e60b9728fdb19196afb6426a9d67bfdea6ef4c5981bab1","observation_id":"180ed773-ef88-4df6-a68e-9462df39d7dc","resolution":{"observed_at":"2026-08-06T20:39:08.778374Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:39:11.134626Z","title":"SpecialtyScribe: Enhancing SOAP note Scribing for Medical Specialties using LLMs","venue":null,"work_id":"482eb490-d2dd-4063-a8c0-b12afdf6588d","year":2025},"citing_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:08.849397Z"},"links":{"citing_paper":"/paper/2507.03033"},"observation_digest":"sha256:985bbb190a0c8ed155c43d2032d675d5609dd1622b9f38c7e4d35077f047994c","observation_id":"fe3be04b-785b-4af4-9406-0457bbf1881c","resolution":{"observed_at":"2026-08-06T20:39:11.222192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.10141","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:39:10.439152Z","title":"Federated machine learning in healthcare: A systematic review on clinical applications and technical architecture","venue":null,"work_id":"d2c9509b-7d7a-43e3-8f42-c6c2fa4bdf23","year":2024},"citing_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:08.903393Z"},"links":{"citing_paper":"/paper/2507.03033"},"observation_digest":"sha256:adeebbf5fa7c88110d8c367eb209076fe55a0f6f89d4a22731a943bc565cd872","observation_id":"2953a495-4fd0-444f-8a3c-6135e7bf1cbc","resolution":{"observed_at":"2026-08-06T20:39:10.506141Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2503.04153","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:39:10.180769Z","title":"KidneyTalk-open: No-code Deployment of a Private Large Language Model with Medical Documentation-Enhanced Knowledge Database for Kidney Disease","venue":null,"work_id":"b9178c77-c4ac-43a6-9f6c-dff627fa74aa","year":2025},"citing_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:08.980762Z"},"links":{"citing_paper":"/paper/2507.03033"},"observation_digest":"sha256:921ed20651530762cc67bb075e5a75c11ff2644cadf35036ae3c83052b950a94","observation_id":"bfd443a7-53ab-4e53-a20c-7074030df5e4","resolution":{"observed_at":"2026-08-06T20:39:10.238589Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.08954","last_updated":"2025-02-13T04:35:55Z","snapshot_observed_at":"2026-08-07T23:03:57.522115Z","submitted_at":"2025-02-13T04:35:55Z","title":"Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning","version":1},"cited_work":{"arxiv_id":"2502.08954","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.08954","snapshot_observed_at":"2026-08-06T20:39:09.872353Z","title":"Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning","venue":"cs.CL","work_id":"7ecc4c10-8923-4a84-b4d1-5d337f2fb686","year":2025},"citing_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:09.055615Z"},"links":{"cited_paper":"/paper/2502.08954","citing_paper":"/paper/2507.03033"},"observation_digest":"sha256:ee6eb32b140a367c69e430c91d0183e9e0c9302ad31be86ea0b0d76c64dc1602","observation_id":"3ce45698-4b6d-4ceb-bd8d-a454206e5d25","resolution":{"observed_at":"2026-08-06T20:39:09.950744Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:39:10.916323Z","title":"Rouge: A package for automatic evaluation of summaries","venue":null,"work_id":"4312143e-8dd6-46b9-b0f8-0d5ba66ae274","year":2004},"citing_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:09.148440Z"},"links":{"citing_paper":"/paper/2507.03033"},"observation_digest":"sha256:c13b68f01a1e9ad7d4c20ea0850fb04eb6b7e0281cbbe12d266fa1b65f8a0ea7","observation_id":"85359d7b-680d-4049-82c5-2fb0ad53c672","resolution":{"observed_at":"2026-08-06T20:39:11.048414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.09675","last_updated":"2020-02-24T18:59:28Z","snapshot_observed_at":"2026-07-29T15:42:51.774083Z","submitted_at":"2019-04-21T23:08:53Z","title":"BERTScore: Evaluating Text Generation with BERT","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.09675","snapshot_observed_at":"2026-08-06T20:39:09.277230Z","title":"Bertscore: Evaluating text generation with bert","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:09.277230Z"},"links":{"cited_paper":"/paper/1904.09675","citing_paper":"/paper/2507.03033"},"observation_digest":"sha256:7656efe9d7c1007bc920a91dbc2fcedb86a43b5593e3efea04a86b3e02854d4b","observation_id":"ffca165e-7e72-4db0-892f-0b2616804f7d","resolution":{"observed_at":"2026-08-06T20:39:09.277230Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.04696","last_updated":"2020-05-21T16:53:47Z","snapshot_observed_at":"2026-08-08T18:39:53.307653Z","submitted_at":"2020-04-09T17:26:52Z","title":"BLEURT: Learning Robust Metrics for Text Generation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.04696","snapshot_observed_at":"2026-08-06T20:39:09.350124Z","title":"BLEURT: Learning robust metrics for text generation","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:09.350124Z"},"links":{"cited_paper":"/paper/2004.04696","citing_paper":"/paper/2507.03033"},"observation_digest":"sha256:f048207438ff272c2eb4c0305191a8624503e9dd94c9ec5160847f2bc74134f8","observation_id":"531449bd-5594-4489-b6d9-a368e974c07b","resolution":{"observed_at":"2026-08-06T20:39:09.350124Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:39:09.451300Z","title":"Analyzing and interpreting data from likert-type scales","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:09.451300Z"},"links":{"citing_paper":"/paper/2507.03033"},"observation_digest":"sha256:96393ed0d1e9ce5c942163746de1e736abc0c5f8608cb2fce8378fb8c2d04da1","observation_id":"3616ca20-f9f8-422c-9f29-f93ec0050e1d","resolution":{"observed_at":"2026-08-06T20:39:09.451300Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.00447","last_updated":"2022-04-01T14:04:16Z","snapshot_observed_at":"2026-07-06T12:55:42.060550Z","submitted_at":"2022-04-01T14:04:16Z","title":"Human Evaluation and Correlation with Automatic Metrics in Consultation Note Generation","version":1},"cited_work":{"arxiv_id":"2204.00447","doi":null,"metadata_source":"pith","pith_arxiv_id":"2204.00447","snapshot_observed_at":"2026-08-06T20:39:09.676548Z","title":"Human Evaluation and Correlation with Automatic Metrics in Consultation Note Generation","venue":"cs.CL","work_id":"1e8f65d1-65ad-4506-ac65-71469583a5bb","year":2022},"citing_paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:09.538889Z"},"links":{"cited_paper":"/paper/2204.00447","citing_paper":"/paper/2507.03033"},"observation_digest":"sha256:d1e76731e67bea1e91bb260817317de25d94f57371aac6672fdaf92c6340e7b4","observation_id":"c2ce8435-c877-4252-8087-830504486c5e","resolution":{"observed_at":"2026-08-06T20:39:09.753467Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.03033","last_updated":"2025-07-03T01:51:49Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-08T21:01:23.125756Z","submitted_at":"2025-07-03T01:51:49Z","title":"Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation"},"reference_resolution":{"displayed":24,"state_counts":{"malformed_identifier":1,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":14,"verified_exact":3,"verified_fuzzy":4},"total_outbound_references":24},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2507.03033."}