{"as_of":"2026-08-14T10:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:22f0411ca7e2fe8fe2ec7aa9f4e096cd7d5cd098d8e99c703795adf6bc000548","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T19:16:40.303918Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2606.19125/citation-record","integrity":"/paper/2606.19125/integrity","json":"/paper/2606.19125/citation-record.json","paper":"/paper/2606.19125"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T19:16:40.303918Z","title":"Detecting Parkinson’s Disease Using V oice Recordings From Mobile Devices","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:4410dcbaa7d6e3731121124bd69ce4d8e49004715afe7d8de5353b501dbc5448","observation_id":"102ecc7b-0ca1-4025-ab9a-98f1cb735887","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Parkinson’s Disease [web page]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:3cec5ccff37c196718492eb94b111be7ab60049dae0dd351939e883b98082cbe","observation_id":"d4c3843f-9a9f-4df1-903d-e306ca33c2b8","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Accessed: 5 February 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:ead72b23001504d1cd23d916c634534e95a2c55e0011de3dd517e9454ed61d30","observation_id":"a16db75a-dcce-4890-8382-aef492f9d025","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Speech disorders in Parkinson’s disease: early diagnostics and effects of medication and brain stimulation","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:e7ae42e8b76f17b9718c0999756044fa809499e0ad5e7adf5e1f214ea716b1d1","observation_id":"250bda25-d9ec-4486-8c09-ccad9e8d7b9d","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Hypokinetic Dysarthria in Parkin- son’s Disease: A Narrative Review","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:d48f382e98143755ed4aaa42c9cabd83b8c57988c377ca2a6232ca450d3e4615","observation_id":"24a03968-c728-4177-86bf-5df944f0ed02","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Speech and language biomarkers for Parkinson’s disease prediction, early diagnosis and pro- gression","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:6db0077e2601555f11e589ce066c69995124948eb8919e21909c5be55df70d03","observation_id":"578bf038-44c8-429d-a112-40c6fa0e4845","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Parkinson’s disease","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:9376a6fb1bd4fc89ca57183d1eefd274ae91a728c29e074800039b8030ac37aa","observation_id":"f96fc25f-540a-439d-9df0-a51eb22c55b0","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Early treatment of Parkinson’s disease: Opportunities for managed care","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:9c3af54dd9e735ba29ed09a29ec913303968da84edcf81bd7b9c46572691d91d","observation_id":"1f4a214c-d12a-44b0-bd0c-6878a72d332a","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Machine learning for the diagnosis of Parkinson’s disease: A review of literature","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:048f86ac9d3ce499cca42a57e01c8863b863a4680af2f0442df99295c0edbfe2","observation_id":"55122d17-742d-480e-bff3-ed342c2e9b79","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Advances in Parkinson’s disease detection and as- sessment using voice and speech: A review of the articulatory and phona- tory aspects","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:f369e7cf233f8792f8332e2c9bfc432c610370b55c66f81306cdcb96b4e20842","observation_id":"d7177a15-58d6-4c7d-9383-ef70fbc3e87f","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Early detection of Parkinson’s disease through speech features and machine learning: A review","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:40007498ddf6aa3b3d72d3ae451e568d193e2e4167a563642a0a1e364fbe2bd1","observation_id":"846245f6-9c28-428a-a3a9-17ed36f4cc29","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Interpretable Parkinson’s Disease Detection Using Group-Wise Scaling","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:388bc6c4c601d1f5e9e1928878b3c4f43f58e1ad2e714d0e13777c38a36ed4ec","observation_id":"74c2088f-dd2c-43e2-bc21-c16adebf4e8f","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Use of machine learning and voice for multi- class classification of Parkinson’s disease, chronic obstructive pulmonary disease, and healthy controls","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:94545598eff48db53eee4ebf0c53100b4debdb05fa7e8e9bf35701cc0ab207cb","observation_id":"042ae728-58cf-47e2-8311-cff4d8f1d6e0","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Automated analysis of connected speech reveals early biomarkers of Parkinson’s disease in patients with rapid eye movement sleep behaviour disorder","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:48730789aff99e574e0974b0d3ecf99526bcef3b997c8c19ebe870482868a57b","observation_id":"12ade99a-f5f9-4231-8609-03fa90fc3c7c","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Detecting Parkinson’s disease from sustained phonation and speech signals","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:16c44480bc3c6bff7c39f9eb550c7a0706442c3d274ac28f947050d2a6b12dad","observation_id":"f953f504-196d-4b5c-9603-18ee34c0d7ec","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Things to Consider When Automatically Detecting Parkinson’s Disease Using the Phonation of Sustained V owels: Analysis of Methodological Issues","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:291dd578d6c436bfd7bf17414b0d45c42929b7e8eb2251be8dc59df0b591c2e3","observation_id":"fc11858e-92ba-4362-8cfd-24ff68a01e23","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Automatic Detection of Parkin- son’s Disease from Continuous Speech Recorded in Non-Controlled Noise Conditions","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:7fdac53c56ffab875053a6303f80083610e8cfae6225afac510b546c4ef3354d","observation_id":"02e69949-6d6f-467a-90e1-f145f398f98b","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Automatic Detection of Parkinson’s Disease in Running Speech Spoken in Three Different Languages","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:48a720a41a4287b491bea997e49cee8fc92e826ca03573658631175246320bb8","observation_id":"e613d93e-895e-476e-8077-f48f38c3bfd0","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Parkinson’s Disease Classification Framework Using V ocal Dynamics in Connected Speech","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:26a8e34ddc8689bf193712a6f7b887b6f6fbffaf9611ccdfdbeec68e51fd89d7","observation_id":"4c5f7fa5-70bd-40d5-85b7-0494bb3169b1","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"CNN-Based Identification of Parkinson’s Disease from Continuous Speech in Noisy Environments","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:4fdf552116431ae78bc769ab5e7dcc0376ff688ff97529b8ecce23938b36c424","observation_id":"3688178e-045a-447e-9ef9-dbbee7899e81","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Evaluating the Effectiveness of Pre-Trained Audio Embeddings for Classification of Parkinson’s Disease Speech Data","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:0b13ba856c445a866ee22838644ad559bab5a7231f64d2be80fc6b215660dd3e","observation_id":"61a77ec5-9036-489b-8f43-cb82befa0860","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Has machine learning over- promised in healthcare?: A critical analysis and a proposal for improved evaluation, with evidence from Parkinson’s disease","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:2a777f0fe240687d88b8e1944c6277ced3f7d0af1a18110b16109496a4db7c5f","observation_id":"b05890a8-6704-48b9-a547-92bb5d3295e5","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"NeuroV oz: a Castillian Spanish corpus of parkinsonian speech","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:fa4208fe983f16b569e5acd3917c4ca0391a8f24b201db6362c6d6c396713cf2","observation_id":"9d2ef622-4e8b-4e12-bd79-ddaa774b48ef","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"openSMILE: The Munich Versatile and Fast Open-Source Audio Feature Extractor","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:966034d360dc8681edea9e9e71f4478c1c2f9af8b78e6ed0ad3560564d18ddfe","observation_id":"bce9d91f-1f5f-48de-a46d-8a796d34735f","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for V oice Research and Affective Computing","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:ac2369d9ff389e26bb990c80fb42f491be7dabe79632d3b56215f5fbc00f87b6","observation_id":"dad71b38-f494-4272-8762-2970f0c54aa4","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Statistics; 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:3730cbd94ccbcff293d04d69816fee4574212983b0b7fe95485c21476bfe3100","observation_id":"20fb258a-755a-48ea-b6d7-e53586813ed1","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"How does Parkinson’s disease affect quality of life? A comparison with quality of life in the general population","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:0ea15cc2cff4444302980bb5bcf7ea1105dcb0cb129ac88ef89c01169ed0f1bc","observation_id":"c2f66392-1d1b-47e6-b5d2-4a0857899e09","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Defining Fundamental Frequency for Al- most Harmonic Signals","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:31db7f9bbc520bb9eed4c808387c48544e46dae018a4b9170e14e9defcdcdce1","observation_id":"4f5a7902-b98a-4c46-93dd-c8c5a346d787","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Estimating Inharmonic Signals with Optimal Transport Priors","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:a467deff948846f215b1cefb95e1ddea0ed51065f6ee77be6bf7fbdafeceb974","observation_id":"cd71f9fe-3a4b-4f1e-8815-d3ac84e4a889","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"V osk Speech Recognition Toolkit [web page]; 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:e9b2ce722b98ea4dc61292f0e5136b793a0f35a0e5741aea1ae6bc10b0d4a97e","observation_id":"aa2f9d77-7983-471d-a7a3-06119bb09252","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Introduction to Speech Processing: 2nd Edition","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:0a3b3d36d42058d473f7bd4eb0e5247ecf8398e3b573588339f05e82095ffd07","observation_id":"05131354-7b21-40ed-ab6c-c90a96b0446a","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Harmonic to Noise Ratio Measurement – Selection of Window and Length","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:8b41acf836d02a9a8bde2ddfae7aef7f372600318da93adcde3d2988e8172dbc","observation_id":"e216ab78-49ae-40cf-9ba6-47f2aa850c74","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Multi-Pitch Estimation","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:aaecfc4561b0121d04706ef379100e1bb0f0ff20f4c8e28bff05bde40c6488f2","observation_id":"91cd7564-b53b-4ea7-bcd6-4407cf145902","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Multiple Fundamental Frequency Estimation Based on Harmonicity and Spectral Smoothness","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:986cfac5b42790ad9179bd5b722ea533cf9c10f04c6db96a260c749e43845866","observation_id":"afb4332d-ebea-44e4-95d8-70e8058dd217","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Optimizing Parkinson’s Disease Prediction: A Comparative Analysis of Data Aggregation Methods Using Multiple V oice Recordings via an Automated Artificial Intelligence Pipeline","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:5903539adb759efd48e60298ec80288787b72418f65fd8ef3cef1cf792a98b93","observation_id":"f62767bf-3d0b-4f69-9b50-eb4d8b52e948","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Things to Consider When Automatically Detecting Parkinson’s Disease Using the Phonation of Sustained V owels: Analysis of Methodological Issues","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:cd3b133cbe6f6b5391bee62675c46097f13e7e5125b6886afefbcb373e33afea","observation_id":"1dfb2d27-95f0-46ad-82fd-b11e64247729","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Reliable AI via Age-Balanced Validation: Fair Model Selection for Parkinson’s Detection from V oice","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:fcc13bfd1acc15ef1848b8ac70e4b24147510ca1c84071a8108a224a4d1faeb5","observation_id":"7e3cd05d-acd4-4b6f-a395-4fd8c3a092c6","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"XGBoost: A Scalable Tree Boosting System","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:dd81c42a455ae8b9b7f8d41bfc8fa97d561a799ed268cccaa501da0403549ada","observation_id":"d52b6d32-79a1-41dd-8c47-4a6884c942d5","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Regularization and Variable Selection via the Elastic Net","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:0666d7dea40661fed0a5e1ba537c776a268263070c1a169284e1594c04891f77","observation_id":"83787911-7294-419b-892a-d39bfbe5a678","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Regularization Paths for Generalized Linear Models via Coordinate Descent","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:67b4b6e7fe64ad0fc07c88ba9846381757db047825ffdebc1472659144d368c4","observation_id":"f8d0c4bb-5fe6-41f9-ab00-c30a44a7e64c","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"Small Area Shrinkage Estimation","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:a1eef15615552f475a970b74baba80c1ecfcabc48c5af788fc1ce1e0ec41e915","observation_id":"56f8609d-ef47-4cf9-89f5-7f7d19f386a3","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","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":"2026-06-26T19:16:40.303918Z","title":"On Combining Classi- fiers","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-26T19:16:40.303918Z"},"links":{"citing_paper":"/paper/2606.19125"},"observation_digest":"sha256:765f25e77df45fe2f55c7a1cf734d93329737024867d90418b9670825c485e43","observation_id":"17c8ef91-ae29-4a77-9cda-6137bc1ce42c","resolution":{"observed_at":"2026-06-26T19:16:40.303918Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.19125","last_updated":"2026-06-17T14:37:30Z","latest_version":1,"primary_category":"eess.AS","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:37:30Z","title":"Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":42,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":42},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2606.19125."}