Paper Citation Record · LEDGER

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR

As of 15 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 2 inbound Pith citation observations for arXiv:2412.00055.

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

pith.paper-citation-record.v1
2412.00055 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:48:38.823233Z

measured 52 of 52 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T17:00:59.421441Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T17:01:07.560848Z

Reference resolution

50 of 50 outbound references displayed

verified exact8
verified fuzzy17
unresolved24
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fbae8e13-4575-4a35-8732-547c56753194 · outbound

This paper cites Machine Learning for Synthetic Data Generation: A Review.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Machine Learning for Synthetic Data Generation: A Review

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T13:48:37.898838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb50a450-75af-40a0-b41f-70721610b531 · outbound

This paper cites Fonseca and F.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Fonseca and F

Reference 2

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T13:48:41.270473Z

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 adf24a7d-a0ae-4700-ab55-9a57e3090ec1 · outbound

This paper cites Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-12T13:48:39.913484Z

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 94354cc2-9b98-4316-9b17-341521a4bd2c · outbound

This paper cites ArchiSound: Audio Generation with Diffusion.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR ArchiSound: Audio Generation with Diffusion

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T13:48:37.912046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a15ce408-4235-4ed1-add6-2f2d4331c2f8 · outbound

This paper cites SynthASR: Unlocking Synthetic Data for Speech Recognition.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR SynthASR: Unlocking Synthetic Data for Speech Recognition

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T13:48:37.916982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f7105f9-38f8-462c-af10-c4c6a2b873d6 · outbound

This paper cites Amazon Transcribe.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Amazon Transcribe

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:48:41.210206Z

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 0775a5c1-ca71-4ec9-8676-5a19e7518867 · outbound

This paper cites Microsoft Azure Speech-to-Text.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Microsoft Azure Speech-to-Text

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:48:40.981508Z

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 acb1aeca-d704-4532-98e0-5c6933c18f2d · outbound

This paper cites an unresolved cited work.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:48:40.934138Z

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 112015d1-23d6-4d3d-ab92-8f6fdbde3b3f · outbound

This paper cites Voice EHR: Introducing Multimodal Audio Data for Health.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Voice EHR: Introducing Multimodal Audio Data for Health

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-12T13:48:39.785234Z

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 fccb8500-8424-443d-9239-118cee664f61 · outbound

This paper cites Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T13:48:38.201081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a5a328d-8f89-4741-be60-6ff807107304 · outbound

This paper cites Exploring the Viability of Synthetic Audio Data for Audio-Based Dialogue State Tracking.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Exploring the Viability of Synthetic Audio Data for Audio-Based Dialogue State Tracking

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-12T13:48:39.750658Z

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 4a26355e-4472-49bb-8363-2e95247cb21e · outbound

This paper cites Goncalves, P.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Goncalves, P

Reference 12

Resolution: verified exact; raw_fallback, observed 2026-08-12T13:48:39.643334Z

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 981120dd-f24e-4b76-b92d-654e4c2d769d · outbound

This paper cites Yu and L.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Yu and L

Reference 13

Resolution: verified exact; doi, observed 2026-08-12T13:48:38.884058Z

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 48c74bd9-97d0-43b5-aafb-0470ad11339e · outbound

This paper cites Arriaga, A.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Arriaga, A

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T13:48:38.220243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e8f07bb-df5c-433e-9610-6d8c61bdf9fd · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Robust Speech Recognition via Large-Scale Weak Supervision

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T13:48:38.224413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f02ce2cb-a966-450d-ab87-7b6420d6c494 · outbound

This paper cites FAdam: Adam is a natural gradient optimizer using diagonal empirical Fisher information.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR FAdam: Adam is a natural gradient optimizer using diagonal empirical Fisher information

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T13:48:38.229216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc935080-7836-458c-80f5-61a371cfb498 · outbound

This paper cites Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T13:48:38.233334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91a4a849-8249-4c07-903a-e3b03b5980c9 · outbound

This paper cites an unresolved cited work.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Unresolved cited work

Reference 18

Resolution: verified exact; raw_fallback, observed 2026-08-12T13:48:39.347988Z

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 89362d7d-7579-4c1a-aa87-fb9bd6a99ed0 · outbound

This paper cites Mamba for Streaming ASR Combined with Unimodal Aggregation.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Mamba for Streaming ASR Combined with Unimodal Aggregation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T13:48:38.295707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b332acd8-fb36-401b-928c-990ae94df139 · outbound

This paper cites Lindsay, J.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Lindsay, J

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:48:40.919368Z

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 c7e7d28d-8757-4b18-a953-1c0342de5b0b · outbound

This paper cites Rossenbach, A.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Rossenbach, A

Reference 21

Resolution: verified exact; raw_fallback, observed 2026-08-12T13:48:39.187952Z

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 2ed63fa2-7dcd-4bf0-9e5b-ff260e294d0b · outbound

This paper cites StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T13:48:38.355724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb39bbaf-d374-4d7e-8faa-34918830064e · outbound

This paper cites Gambs, M.-O.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Gambs, M.-O

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:48:40.904988Z

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 54607ab7-f905-4218-8e22-4eb78d77c5a7 · outbound

This paper cites Patki, R.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Patki, R

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T13:48:38.364009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37c39de4-9f5b-4000-b159-263de2bfefb6 · outbound

This paper cites https://www.mims.com/india.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR https://www.mims.com/india

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:48:40.891196Z

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 97e1ef4e-6f7d-4925-b5ad-628fef9ce465 · outbound

This paper cites https://www.accessdata.fda.gov/scripts/cder/daf/index.cfm.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR https://www.accessdata.fda.gov/scripts/cder/daf/index.cfm

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:48:40.777187Z

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 11744c6a-1c5b-4cec-8881-ecbea251e611 · outbound

This paper cites https://www.icd10data.com/ICD10CM/Codes.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR https://www.icd10data.com/ICD10CM/Codes

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:48:40.577334Z

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 aeed3bed-5503-4248-af24-5810b9b752cb · outbound

This paper cites https://cloud.google.com/.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR https://cloud.google.com/

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:48:40.563302Z

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 574e2ff1-8666-4cd6-ab7a-942253677e80 · outbound

This paper cites Scikit-learn: Machine Learning in Python.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Scikit-learn: Machine Learning in Python

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:48:40.548944Z

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 95eb7f3a-cbd8-4377-a0b3-eaef96db335e · outbound

This paper cites Transformers: State-of-the-Art Natural Language Processing.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Transformers: State-of-the-Art Natural Language Processing

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:48:40.533169Z

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 8df99668-e298-4d52-b816-41f120e210ef · outbound

This paper cites Faster Whisper.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Faster Whisper

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:48:40.517763Z

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 b7d2916b-7cac-44d1-828f-02a997daa595 · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T13:48:38.400659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c819e56-bdc3-46a3-8a4f-ac887e6e3396 · outbound

This paper cites Panayotov, G.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Panayotov, G

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:48:40.311412Z

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 937fd7dc-25bb-4170-baa8-2ddbda9d014f · outbound

This paper cites an unresolved cited work.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:48:40.252010Z

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 22781178-8018-4a94-a56a-13ad9d5f3237 · outbound

This paper cites an unresolved cited work.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:48:40.237670Z

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 91bdb8e0-65c8-41b7-9f00-2cf0a3ed07e7 · outbound

This paper cites FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T13:48:38.563634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfc4ecf2-05d9-4da2-a739-3d85f05ba3aa · outbound

This paper cites Sainburg, M.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Sainburg, M

Reference 37

Resolution: verified exact; doi, observed 2026-08-12T13:48:38.870072Z

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 dd532297-1ccd-4972-9416-eb3cf8ca3de4 · outbound

This paper cites Sainburg.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Sainburg

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T13:48:38.572878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1b8f862-b3da-4b28-81d0-21615656b7de · outbound

This paper cites Dragon Medical One - The #1 Clinical Speech Recognition Solution.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Dragon Medical One - The #1 Clinical Speech Recognition Solution

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:48:40.205310Z

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 b1c73621-1251-4c5d-8288-73ec59490922 · outbound

This paper cites M*Modal Fluency for Transcription - Next-generation Clinical Documentation.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR M*Modal Fluency for Transcription - Next-generation Clinical Documentation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:48:40.062342Z

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 f9b42efa-a464-41ed-ac02-d7240ea63609 · outbound

This paper cites Google Speech-to-Text.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Google Speech-to-Text

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:48:40.023584Z

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 4550cdcd-8998-4326-93e6-ab62a28eb23c · outbound

This paper cites W2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR W2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T13:48:38.591195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 114253d7-daee-40f8-a393-35f1e5084e55 · outbound

This paper cites Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T13:48:38.595709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74fb919a-4a38-4fb7-ae9e-5e86390f3aa9 · outbound

This paper cites HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T13:48:38.652142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 318d479a-1e71-4f16-bf20-8941f98c3830 · outbound

This paper cites SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T13:48:38.785927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f721e6fb-853c-4dce-b1c3-6a251ca32e41 · outbound

This paper cites SeamlessM4T: Massively Multilingual & Multimodal Machine Translation.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR SeamlessM4T: Massively Multilingual & Multimodal Machine Translation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T13:48:38.814413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 826bad6b-73a0-4c8a-a424-d1370488124c · outbound

This paper cites Rousseau, P.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Rousseau, P

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:48:40.008426Z

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 008ea277-43b9-40c5-b36b-38a3ec395271 · outbound

This paper cites United-MedSyn: Medical Speech Dataset for ASR.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR United-MedSyn: Medical Speech Dataset for ASR

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:48:39.994107Z

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 fed61ab0-fb20-4c67-a083-caa27010f843 · outbound

This paper cites Self-training and Pre-training are Complementary for Speech Recognition.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Self-training and Pre-training are Complementary for Speech Recognition

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-12T13:48:38.628572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1f22c87-b3b4-4ba6-be45-99fcfa300704 · outbound

This paper cites an unresolved cited work.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Unresolved cited work

Reference 2021

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:48:40.222468Z

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

Observation 5e717426-5f47-440e-b410-00c0769664da · inbound

SpeechMedAssist: Efficiently and Effectively Adapting Speech Language Models for Medical Consultation cites this paper.

SpeechMedAssist: Efficiently and Effectively Adapting Speech Language Models for Medical Consultation High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-16T17:01:07.563742Z

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 23a61bf4-11cd-4b3b-ad10-f557fefcd273 · inbound

Au-M-ol: A Unified Model for Medical Audio and Language Understanding cites this paper.

Au-M-ol: A Unified Model for Medical Audio and Language Understanding High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:41:10.506062Z

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.