Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:04:10.268111Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2505.20050.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:04:10.268111Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:04:07.019100Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T14:04:10.433541Z
37 of 37 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation f91674d5-eda7-4798-9766-90c26ae24362 · outbound
MVP: Multi-source Voice Pathology detection These conditions impact daily communication, work performance, and overall quality of life
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2072e6af-5b7b-4eb2-9f73-39b5e0300b9e · outbound
MVP: Multi-source Voice Pathology detection MVP: Multi-source Voice Pathology detection
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 443fcaf6-a9f0-4b75-a372-2877f25a659c · outbound
MVP: Multi-source Voice Pathology detection Unresolved cited work
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e1649364-a8b6-4763-b4a3-9e8f27a2400f · outbound
MVP: Multi-source Voice Pathology detection The IFF-TE method with fine-tuned backbones achieves the highest AUC scores: 95.8% (SVD), 96.3% (A VFAD), and 93.6% (IPV)
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b9aa9644-4897-4582-8934-ae42d875d389 · outbound
MVP: Multi-source Voice Pathology detection Unresolved cited work
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4e34f836-ff39-48c3-8b7a-cef73d869475 · outbound
MVP: Multi-source Voice Pathology detection 1555 11/10/2022, PE00000013), is partially supported by the ”D.A.R.E
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ff733609-af81-43f0-ad56-3e2550c00570 · outbound
MVP: Multi-source Voice Pathology detection V oice disorders identification using hybrid approach: Wavelet analysis and multilayer neural networks,
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 32df5cf3-8608-492f-800e-b043e2e7252d · outbound
MVP: Multi-source Voice Pathology detection Prevalence of voice disorders in teachers and the general population,
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 5fbdc248-d5a3-4169-9ffe-ea7f1977d731 · outbound
MVP: Multi-source Voice Pathology detection V oice disor- ders in the general population: prevalence, risk factors, and occu- pational impact,
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d23183eb-17d3-4a40-b7f2-60fe1c914060 · outbound
MVP: Multi-source Voice Pathology detection The rapidly evolving scenario of acoustic voice analysis in otolaryngology,
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation cff09788-b274-4982-a68d-b583fc40739d · outbound
MVP: Multi-source Voice Pathology detection Basics of voice disorders,
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a4a7bc53-8539-4af7-af58-8922a77db4be · outbound
MVP: Multi-source Voice Pathology detection Delayed otolaryn- gology referral for voice disorders increases health care costs,
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 33f563fa-350f-4143-a544-57318d6179ac · outbound
MVP: Multi-source Voice Pathology detection V oice disorder analysis: a transformer-based approach,
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation dc5fd69d-861d-47db-8c29-ce26c4718de3 · outbound
MVP: Multi-source Voice Pathology detection Dysarthric speech trans- former: A sequence-to-sequence dysarthric speech recognition system,
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation cd6e6537-c958-4b54-bcd3-b41885e63390 · outbound
MVP: Multi-source Voice Pathology detection Byovoz automatic voice condition analysis system for the 2018 femh challenge,
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0d7084e6-bdf4-4588-9f18-1e17ea5367ba · outbound
MVP: Multi-source Voice Pathology detection V oice disorder classi- fication using convolutional neural network based on deep transfer learning,
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 90f507da-e5e9-4a80-b4d2-5717db3f8480 · outbound
MVP: Multi-source Voice Pathology detection A voice disease detec- tion method based on mfccs and shallow cnn,
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 37e4aef2-046f-467f-9369-02c85e3ec641 · outbound
MVP: Multi-source Voice Pathology detection Hybrid cnn-lstm model with efficient hyper- parameter tuning for prediction of parkinson’s disease,
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation fa2e5fc9-4ae8-43f5-a736-c43428e6efc9 · outbound
MVP: Multi-source Voice Pathology detection V oice pathology detection using convolutional neural networks with electroglotto- graphic (egg) and speech signals,
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 047ab1f9-e6a8-4b6e-bfbd-592a5469b49b · outbound
MVP: Multi-source Voice Pathology detection Automatic voice disorder detection using self- supervised representations,
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1306f0c5-32e0-4865-bfa3-1ea03f0fce45 · outbound
MVP: Multi-source Voice Pathology detection Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units,
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f549c45e-e7c5-4d8e-bb79-818e0341a60a · outbound
MVP: Multi-source Voice Pathology detection E2e-dasr: End-to-end deep learning-based dysarthric automatic speech recognition,
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 47570ecb-5a29-4356-9187-dd737a2a731b · outbound
MVP: Multi-source Voice Pathology detection Detecting dementia from speech and transcripts using transformers,
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation feddd022-633c-4a46-9317-d87c6215aeec · outbound
MVP: Multi-source Voice Pathology detection Exploiting foundation models and speech enhancement for parkinson’s disease detection from speech in real-world operative conditions,
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 697e5ec1-27f3-4bb7-b089-2d9cecbb4e36 · outbound
MVP: Multi-source Voice Pathology detection Bilingual dual-head deep model for parkinson’s disease detec- tion from speech,
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e1e0556c-c9e0-468b-ba15-2a63ab848046 · outbound
MVP: Multi-source Voice Pathology detection V ocal fold nodules: A disorder of phonation organs or auditory feedback?
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 799daeb0-6521-484e-a6cc-53bb65211b0b · outbound
MVP: Multi-source Voice Pathology detection A pattern recognition approach to spasmodic dysphonia and mus- cle tension dysphonia automatic classification,
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 85874805-f3ac-4265-aeaa-6108fabe2539 · outbound
MVP: Multi-source Voice Pathology detection Film: Visual reasoning with a general conditioning layer,
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6565f05a-06bf-45e5-af6d-bee612ec9422 · outbound
MVP: Multi-source Voice Pathology detection Benchmarking representations for speech, music, and acoustic events,
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 04ef52e3-aa3b-44b0-b904-14c10a2a6926 · outbound
MVP: Multi-source Voice Pathology detection voc2vec: A foundation model for non-verbal vocalization,
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 79cdd7de-e444-4641-bd83-98471a3bde32 · outbound
MVP: Multi-source Voice Pathology detection Lib- rispeech: an asr corpus based on public domain audio books,
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b94ff173-a0e3-4a22-875d-4574c0718986 · outbound
MVP: Multi-source Voice Pathology detection Audio set: An ontology and human-labeled dataset for audio events,
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9029c72-fea9-4fb8-a8b2-c8470b5b1377 · outbound
MVP: Multi-source Voice Pathology detection Vision-language multimodal fusion in dermato- logical disease classification,
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c5ccecbb-e4ed-48db-b0e4-58ee6094c084 · outbound
MVP: Multi-source Voice Pathology detection Gated Multimodal Units for Information Fusion
Reference 34
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dce4ada7-b072-483c-8322-4d953e5db2ed · outbound
MVP: Multi-source Voice Pathology detection wav2vec 2.0: A framework for self-supervised learning of speech representa- tions,
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6c62db55-fcf4-450e-b113-cc0402b3d159 · outbound
MVP: Multi-source Voice Pathology detection Exploring asr-based wav2vec2 for automated speech disorder as- sessment: Insights and analysis,
Reference 37
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 381a3a04-5dda-44c1-8d7a-7996824ef8ac · outbound
MVP: Multi-source Voice Pathology detection For the TE fusion strategy, we set L = 2 transformer encoder layers, which provides an effective balance between model complexity and representational power
Reference 64
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2072e6af-5b7b-4eb2-9f73-39b5e0300b9e · inbound
MVP: Multi-source Voice Pathology detection MVP: Multi-source Voice Pathology detection
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.