{"as_of":"2026-08-20T12:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:341d1a2a6589935ba11224f39d47a1035c4dbfcf650e76989af6c48213d66d03","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T23:06:36.069720Z","state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+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":"2026-05-08T04:21:39.163766Z","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":"2026-05-11T21:46:43.536419Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"cited_work":{"arxiv_id":"2502.08968","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.08968","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Quantum approaches for dysphonia assessment in small speech datasets","venue":null,"work_id":"aa7ea254-7608-4bb2-b8db-22cd6bb11e4a","year":2025},"citing_paper":{"arxiv_id":"2605.06035","last_updated":"2026-05-07T11:26:01Z","snapshot_observed_at":"2026-08-17T07:58:45.621562Z","submitted_at":"2026-05-07T11:26:01Z","title":"Quantum Kernels for Audio Deepfake Detection Using Spectrogram Patch Features","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-08T04:21:39.163766Z"},"links":{"cited_paper":"/paper/2502.08968","citing_paper":"/paper/2605.06035"},"observation_digest":"sha256:3117cb3ca1497d787dd598cc40e9b9f8075b00e2a937f6c30c7ed07ac331b601","observation_id":"cbfd36f2-5cec-42d1-bfd9-520840bc5e3d","resolution":{"observed_at":"2026-05-11T21:46:43.567093Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.08968/citation-record","integrity":"/paper/2502.08968/integrity","json":"/paper/2502.08968/citation-record.json","paper":"/paper/2502.08968"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T23:06:36.599608Z","title":"V oice disorders: etiology and diagnosis,","venue":null,"work_id":"387a4313-d700-4642-8258-0856315cc7ae","year":2016},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:35.929450Z"},"links":{"citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:5a73fffea7cf4b42dbdd222a81107340626e7219a7693c5e50b07abe8783d76a","observation_id":"83fd3453-21fd-4b35-90d0-9e33e59edd40","resolution":{"observed_at":"2026-08-07T23:06:36.605681Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T23:06:36.582655Z","title":"Hirano, Clinical Examination of Voice , ser","venue":null,"work_id":"adea2eb2-5744-4ce5-8bf9-135656b2148d","year":1981},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:35.934556Z"},"links":{"citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:f004b4b5f2c65b3d41ba09d1c2109c8898321202ce4220d5334b07fb69c135e3","observation_id":"fa5b8afa-5c74-4095-a613-867e277482ba","resolution":{"observed_at":"2026-08-07T23:06:36.587379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T23:06:36.567001Z","title":"Direct health care costs of laryngeal diseases and disorders,","venue":null,"work_id":"38383465-7fd4-48c3-a4f3-3b9bfddbd864","year":2012},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:35.939504Z"},"links":{"citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:52dfffd8a95a4746b86c48b7be8762a22c760bd8669bc62d158f3c403ef858ad","observation_id":"b7e8f186-4720-42f6-b234-797a5945aa16","resolution":{"observed_at":"2026-08-07T23:06:36.571827Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T23:06:36.551431Z","title":"V oice disorder identification by using machine learning techniques,","venue":null,"work_id":"39a29630-b216-475b-af08-1d3d559667d2","year":2018},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:35.944519Z"},"links":{"citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:3379ee4da5972e97fc05d3b5ecbf8a07342f61fc063d820c692785f110879ea9","observation_id":"a9908e2e-3aa0-460e-9b99-2fa9140b11cb","resolution":{"observed_at":"2026-08-07T23:06:36.556325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T23:06:36.534830Z","title":"V oice disorder detection using machine learning algorithms: An application in speech and language pathology,","venue":null,"work_id":"09a2a384-ef5c-4286-a5d3-6c3147a8874d","year":2024},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:35.950876Z"},"links":{"citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:92951f98e897e61f90e4f5fa8558d0e1d7f4a9cdd171cf52f1caf87deb225e47","observation_id":"02e4eabf-4c05-466c-a608-1b42844f1fb4","resolution":{"observed_at":"2026-08-07T23:06:36.539935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T23:06:36.516529Z","title":"Machine learning approach to dysphonia detection,","venue":null,"work_id":"40e02d4c-e497-478e-aee1-ac96cbfe87f9","year":1927},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:35.956001Z"},"links":{"citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:fc39c66d8dcd2e5c7731b614d6923e3a61de361b9e9ed1328f4c1cb94e19c9f2","observation_id":"22e2d5a6-3faa-44be-ad67-ca114baa3801","resolution":{"observed_at":"2026-08-07T23:06:36.523036Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T23:06:36.496732Z","title":"Discrimination between pathological and normal voices using gmm-svm approach,","venue":null,"work_id":"e256d83e-3678-4d0e-abba-fe2487bc41ce","year":2011},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:35.961678Z"},"links":{"citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:152e14d2e7295444229836fd7e645018f183b94ba774b259d077f7be8592aee4","observation_id":"7c37cb7c-c9be-47da-a2ea-bc00ceb52c8b","resolution":{"observed_at":"2026-08-07T23:06:36.503360Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T23:06:36.480053Z","title":"V oice pathology de- tection using convolutional neural networks with electroglottographic (egg) and speech signals,","venue":null,"work_id":"8a68a761-2924-4d57-b14a-0e6a32add6e4","year":2022},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:35.966421Z"},"links":{"citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:92a53f4ab7d0eefb49634296f4234f43de44bed0731c3277e1fa788198423e4a","observation_id":"54145e53-61ff-4aa9-98bb-1c9cf307a76a","resolution":{"observed_at":"2026-08-07T23:06:36.485032Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T23:06:36.464670Z","title":"Convolutional neural networks for pathological voice detection,","venue":null,"work_id":"02a953cd-7bc9-4f03-bb13-6b822fcf65d4","year":2018},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:35.971018Z"},"links":{"citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:a0eef92f88a6b53e7d5b05aa4f4f35b3d1948cfb9c3a4605bc0ca07dd0dec668","observation_id":"7b6ffcb4-152b-493b-9c88-ce9d524d2f84","resolution":{"observed_at":"2026-08-07T23:06:36.469504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T23:06:36.446372Z","title":"An efficient smote-based deep learning model for voice pathology detection,","venue":null,"work_id":"510d16fe-5816-4480-b9d4-32acea577c72","year":2023},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:35.975553Z"},"links":{"citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:5d37cce8d22a03b694cb43afaebf3232f26aae1a9b6452d7b9d64e13b74c354c","observation_id":"9b3dce5a-a8a0-424e-9a78-ae5873070b96","resolution":{"observed_at":"2026-08-07T23:06:36.452260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T23:06:36.427967Z","title":"V oice disorder clas- sification using convolutional neural network based on deep transfer learning,","venue":null,"work_id":"f5259065-4e64-4ffc-af08-fe9f1d7c7fdb","year":2023},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:35.980259Z"},"links":{"citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:8f253e1e978d0ef78bbe18e40cffb2dc153b6b70ee246984fa2f65cd724fc812","observation_id":"e5c80d38-d6ea-44bf-b3ce-622d521d77f2","resolution":{"observed_at":"2026-08-07T23:06:36.434452Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T23:06:36.409186Z","title":"Deep learning in automatic detection of dysphonia: Comparing acoustic features and developing a generalizable framework,","venue":null,"work_id":"b1e4cd08-f20f-4fc2-a049-fd49f417ef4e","year":2023},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:35.985030Z"},"links":{"citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:d6bf89b08a8387096cd09aedc9789d10dcc3e627fce4b2c2601d5a28a043fe5f","observation_id":"48605abf-ab0f-4720-813a-38bcb29307ea","resolution":{"observed_at":"2026-08-07T23:06:36.415433Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T23:06:36.389453Z","title":"Schuld and F","venue":null,"work_id":"c19b36d0-7790-44ef-ab3b-dd81c187c36a","year":2021},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:35.989629Z"},"links":{"citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:9f35427bc8e1c9470e87db2d7da94bc86c0160c913893daf8ad550b54a9fd46b","observation_id":"da322515-ea2c-4636-a335-59af872ff572","resolution":{"observed_at":"2026-08-07T23:06:36.395661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T23:06:36.370285Z","title":"A novel autonomous perceptron model for pattern classification applications,","venue":null,"work_id":"f26d741e-61c5-44a8-8508-00fdd0021861","year":2019},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:35.994017Z"},"links":{"citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:6cb3e23ddb9b6b98c75292e0bf4defed526c4ba4d1e8c5d9364abe91969a991e","observation_id":"fbb68e9c-1007-445f-a164-d1c936fad1b3","resolution":{"observed_at":"2026-08-07T23:06:36.376062Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T23:06:36.351989Z","title":"Covid-19 detection on ibm quantum computer with classical-quantum transferlearning,","venue":null,"work_id":"43d0d695-76fc-47ac-9221-653d8d55d13d","year":2021},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:35.998815Z"},"links":{"citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:0b4b8c502fb050b6347efbab702b1c4680147a704e7ded73439a341d9c676141","observation_id":"2aed293e-5074-40d2-bbc8-ac4f59985160","resolution":{"observed_at":"2026-08-07T23:06:36.357893Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T23:06:36.333630Z","title":"Classical-to-quantum transfer learning for spoken command recognition based on quantum neural networks,","venue":null,"work_id":"cead876a-dfd9-4eee-8317-e9ea1bd228ac","year":2022},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:36.004090Z"},"links":{"citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:c2c6e44987a7ac2ed77b862e7807e482d04d6f0e44efa4df29384a2d3fbd5a92","observation_id":"2a15a3b3-020d-43c2-8af1-e7771a8b291a","resolution":{"observed_at":"2026-08-07T23:06:36.340098Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T23:06:36.311986Z","title":"Qspeech: low-qubit quantum speech application toolkit,","venue":null,"work_id":"8030966f-fc72-4654-bb4c-88d9e4b6567d","year":2022},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:36.009498Z"},"links":{"citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:b57d43a58bbd9662aca197609ddd8ba63d2101697f5f4cd54e723ad2342c01a6","observation_id":"b8857199-fc1d-4c68-a182-1b7619552bb8","resolution":{"observed_at":"2026-08-07T23:06:36.319930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.05770","last_updated":"2024-09-09T16:33:00Z","snapshot_observed_at":"2026-08-16T13:20:04.883872Z","submitted_at":"2024-09-09T16:33:00Z","title":"Consensus-based Distributed Quantum Kernel Learning for Speech Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.05770","snapshot_observed_at":"2026-08-07T23:06:36.014809Z","title":"Consensus-based distributed quantum kernel learning for speech recognition,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:36.014809Z"},"links":{"cited_paper":"/paper/2409.05770","citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:2227a2f186b905a43387c54154b6a3baa82d5e65e6daabc83d4322dcef6ce41d","observation_id":"5f24fe67-93f9-4d78-85f5-25f16ca27dd4","resolution":{"observed_at":"2026-08-07T23:06:36.014809Z","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":"2026-08-07T23:06:36.287803Z","title":"Decentralizing feature extraction with quantum convolutional neural network for automatic speech recognition,","venue":null,"work_id":"05fbb93d-eca2-4c99-a17f-1b81ae42c242","year":2021},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:36.021191Z"},"links":{"citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:66d96aa5cb1f142ab92c157e06329c91d3bb0172a2b49984d20d9989c9c8537a","observation_id":"5d7d65fd-1e58-419f-9f84-f441b904d197","resolution":{"observed_at":"2026-08-07T23:06:36.294382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T23:06:36.266887Z","title":"Quanvolutional neural networks: powering image recognition with quantum circuits,","venue":null,"work_id":"534a7dd4-8587-4245-8219-65efb4c52a4b","year":2020},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:36.026330Z"},"links":{"citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:233bd908b2dc5799636fdcf30c5bac215a85aad878a515234be707acc1a857ad","observation_id":"59217509-e657-489c-8806-e976e86deec8","resolution":{"observed_at":"2026-08-07T23:06:36.272947Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.08779","last_updated":"2019-12-03T18:19:07Z","snapshot_observed_at":"2026-08-15T18:44:59.455586Z","submitted_at":"2019-04-18T17:53:38Z","title":"SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.08779","snapshot_observed_at":"2026-08-07T23:06:36.031969Z","title":"Specaugment: A simple data augmentation method for automatic speech recognition,","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:36.031969Z"},"links":{"cited_paper":"/paper/1904.08779","citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:cb87e26f8860a50cbe1e82ad7959cdb44207aebba2d097857bc8a31f1f185488","observation_id":"cba0f5e3-0cb4-491f-ba91-4405453af26e","resolution":{"observed_at":"2026-08-07T23:06:36.031969Z","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":"2026-08-07T23:06:36.245802Z","title":"Large-scale weakly supervised audio classification using gated convolutional neural net- work,","venue":null,"work_id":"56e41979-0b11-4fb4-93da-31a8ed473d83","year":2018},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:36.037670Z"},"links":{"citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:f0c224e6e1185a27bf4991a422d57b89734813a1fbfad64c8492568a66bcf32a","observation_id":"b17694be-73b9-49e2-95e5-2408be1f21e9","resolution":{"observed_at":"2026-08-07T23:06:36.252728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T23:06:36.223763Z","title":"An exploration of log-mel spectrogram and mfcc features for alzheimer’s dementia recognition from spontaneous speech,","venue":null,"work_id":"ff652742-b26a-4166-97f2-71b59980e2ec","year":2021},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:36.044948Z"},"links":{"citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:4c0a4170b83541b60185a0cdf442e19fbcd2460b35f728289ca8959c15cfd12a","observation_id":"9fc3ed6e-7c37-43fb-9cd6-878af3023d18","resolution":{"observed_at":"2026-08-07T23:06:36.229815Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-07T23:06:36.205053Z","title":"Exploring the features of quanvolutional neural networks for improved image classification,","venue":null,"work_id":"baa93b5b-b234-4726-adc6-bacd0886212f","year":2024},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:36.051019Z"},"links":{"citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:aa951947d13d4461a06e1d3960e8b52c56d508182393b6575c7ff47919e15415","observation_id":"dee126ef-8ed6-4789-a6ab-fd55158bb333","resolution":{"observed_at":"2026-08-07T23:06:36.211291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.17632/9dz247gnyb.3","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Perceptual voice qualities database (pvqd),","venue":"Data Archiving and Networked Services (DANS)","work_id":"702b4c2c-6b3a-462c-8835-67308987604b","year":2020},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:36.056916Z"},"links":{"citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:1fa1fb5ac9c90c301fc0dbea23c25286762be121cb36a885915e4d09071007e4","observation_id":"206ceab1-01c2-441d-bf1d-508959c4df17","resolution":{"observed_at":"2026-08-07T23:06:36.113089Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1811.04968","last_updated":"2022-07-29T22:39:54Z","snapshot_observed_at":"2026-08-18T02:06:54.151737Z","submitted_at":"2018-11-12T19:18:57Z","title":"PennyLane: Automatic differentiation of hybrid quantum-classical computations","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.04968","snapshot_observed_at":"2026-08-07T23:06:36.063149Z","title":"Pennylane: Automatic differentiation of hybrid quantum-classical computations,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:36.063149Z"},"links":{"cited_paper":"/paper/1811.04968","citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:eab066139dbd0536361be4799305b4778ef22bc1091f0b1071e582881530360f","observation_id":"04d74c4b-efd1-4843-8883-6b8d362ff610","resolution":{"observed_at":"2026-08-07T23:06:36.063149Z","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":"2026-08-07T23:06:36.069720Z","title":"Early stopping-but when?","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T23:06:36.069720Z"},"links":{"citing_paper":"/paper/2502.08968"},"observation_digest":"sha256:abf4bf6b39359dbd573ddf5ac17f3462687e3e417e7df852ff8295b9c1a77871","observation_id":"ddfdcccb-d362-4330-84dc-6eb40f9699d5","resolution":{"observed_at":"2026-08-07T23:06:36.069720Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2502.08968","last_updated":"2025-02-13T05:13:15Z","latest_version":1,"primary_category":"cs.ET","snapshot_observed_at":"2026-08-13T05:17:20.440310Z","submitted_at":"2025-02-13T05:13:15Z","title":"Quantum Approaches for Dysphonia Assessment in Small Speech Datasets"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":1,"verified_fuzzy":22},"total_outbound_references":27},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2502.08968."}