{"as_of":"2026-08-15T12:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:54e5935790585984a22ce2740851529be515cfac053d8a0a1258c19d72713c81","coverage":[{"denominator":44,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":44,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T22:10:37.551128Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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":"2026-08-11T22:10:37.383981Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-11T22:10:37.612176Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"cited_work":{"arxiv_id":"2412.03784","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.03784","snapshot_observed_at":"2026-08-11T22:10:37.612176Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","venue":"cs.SD","work_id":"fe2b1ebe-d28e-403e-9209-75fecbdc7c1b","year":2024},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.383981Z"},"links":{"cited_paper":"/paper/2412.03784","citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:3fd03c60aa11b73872a8f68a1bd3f250e9268007d64f5ec3a8fceba3c048f359","observation_id":"c950ad6b-a706-492a-8207-09ca327bd8de","resolution":{"observed_at":"2026-08-11T22:10:37.618015Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.03784/citation-record","integrity":"/paper/2412.03784/integrity","json":"/paper/2412.03784/citation-record.json","paper":"/paper/2412.03784"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"cited_work":{"arxiv_id":"2412.03784","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.03784","snapshot_observed_at":"2026-08-11T22:10:37.612176Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","venue":"cs.SD","work_id":"fe2b1ebe-d28e-403e-9209-75fecbdc7c1b","year":2024},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.383981Z"},"links":{"cited_paper":"/paper/2412.03784","citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:3fd03c60aa11b73872a8f68a1bd3f250e9268007d64f5ec3a8fceba3c048f359","observation_id":"c950ad6b-a706-492a-8207-09ca327bd8de","resolution":{"observed_at":"2026-08-11T22:10:37.618015Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:38.046155Z","title":"Severity 0 1 2 Total Number of Utterances 431 1950 186 2567 We employ the proposed method to the Korean Dysarthric Speech dataset 2","venue":null,"work_id":"2e5ece7a-f5b8-48de-95bf-f9d534b062cc","year":1950},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.392871Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:2c1a0245a35257bcb1c86f6650f5a9841165a148f0917b116955a5ddba528362","observation_id":"2585da39-a6e8-4817-908e-7d7c26e6ac22","resolution":{"observed_at":"2026-08-11T22:10:38.050876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:38.035583Z","title":"Ta- ble 2 describes features we extracted from ASR transcription","venue":null,"work_id":"8b01d67e-ca51-4190-8461-e021e4849912","year":null},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.396738Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:25156e09562cc6a5865e43df2266431f44cb3df33a5ee34db3555fd56edb68da","observation_id":"69b3dbbb-1cb6-4297-9ff8-e57c5db0872a","resolution":{"observed_at":"2026-08-11T22:10:38.039299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:38.024130Z","title":"Experimental Setup We used the same corpus to train the ASR system and au- tomatic severity classification model","venue":null,"work_id":"b1a9da75-849e-49cd-90e8-8b5faa65fb6f","year":null},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.400751Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:59b3941b20c83499da8821ce936d2b5a27f991b1c0b6b5d1bc544a91e6ee7295","observation_id":"8189a0bd-3619-48c9-a211-a81fe4523ec6","resolution":{"observed_at":"2026-08-11T22:10:38.028675Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:38.013117Z","title":"For example, as in Figure 1, our method could reveal the impact on severity through feature importance analysis aligned with clinical indicators","venue":null,"work_id":"fec7ff0b-8675-46fa-97e4-e12cd66b5ecd","year":null},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.405057Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:716018c00c49645b9547ceab05ee872d8e88fb32f46f8931d67232653e70551b","observation_id":"4960a964-c0a8-456b-b58a-284dcef8e474","resolution":{"observed_at":"2026-08-11T22:10:38.017405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.999945Z","title":"We employed an ML model, which has feature-level interpretability and improved its performance","venue":null,"work_id":"4f7bedf7-facd-45ee-a8ae-1fd187f50a5c","year":null},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.409426Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:3407136bca0d9a5a4910d904decb3039743fc4de8a9dd50d17c4623f8cfce8c4","observation_id":"3cc1414c-0c2f-4790-ada7-32d698cc8933","resolution":{"observed_at":"2026-08-11T22:10:38.004870Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.989653Z","title":null,"venue":null,"work_id":"a973b104-5c69-4b92-9041-912dc2aed406","year":2022},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.413240Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:9f581e957f5e4067a22a5df89216e1a0215bcf80e07409c03dc4e4f85b42210c","observation_id":"60379fa1-addb-40ff-a80b-22e688bbd894","resolution":{"observed_at":"2026-08-11T22:10:37.993068Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.902550Z","title":"Acceptability and intelligibility of moderately dysarthric speech by four types of listeners,","venue":null,"work_id":"b04c229e-a09d-4919-8fdc-eb7c0350f5f6","year":2012},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.442306Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:58615b4657e650fee7d5155a88458bc11ca11cf6cf22779960e2e9757fdf728c","observation_id":"dc2734a5-6234-4573-a51f-e127b9dd0b5c","resolution":{"observed_at":"2026-08-11T22:10:37.906329Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.978116Z","title":"Improving the intelligibility of dysarthric speech,","venue":null,"work_id":"2b9a269a-71d5-4e69-94ea-0cc438bdaa06","year":2007},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.416802Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:8eb0aad3bbc5ef536fa0509ebcbae58a0be5e58b83b0fad142b7c1997aff0e61","observation_id":"e52f4b8c-e308-4b30-85d7-96dfcf8613ff","resolution":{"observed_at":"2026-08-11T22:10:37.982107Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.968080Z","title":"Patients’ experiences of disruptions associated with post-stroke dysarthria,","venue":null,"work_id":"d4c1f440-1363-487b-94ef-a979ec00e162","year":2008},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.420431Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:d4eabb00797b7e4dd0606523862829b885a505a6f5479d3c8034a9b9f1e29b3f","observation_id":"173982eb-9e9a-4c43-a022-68d0be791ae1","resolution":{"observed_at":"2026-08-11T22:10:37.971683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.957556Z","title":"A feasibility randomized controlled trial of readyspeech for people with dysarthria after stroke,","venue":null,"work_id":"a9d6942b-61f0-4391-b11c-b12177664dd1","year":2018},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.424018Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:ee321ae755fa23338a644c299e3119cd067af96e60ec161aaa4cc5a357da0423","observation_id":"b8a0417d-c8ab-4eef-9d4b-fc83d209d075","resolution":{"observed_at":"2026-08-11T22:10:37.961697Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.946312Z","title":"Socioeconomic status and stroke inci- dence, prevalence, mortality, and worldwide burden: an ecological analysis from the global burden of disease study 2017,","venue":null,"work_id":"a2c3eee6-8e53-4da6-b1d9-d22d452c98d6","year":2017},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.427844Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:dd0b2bcd375848086c69b562e1f41ebb992f9f2dea61b7f245ab27c4adbc8b91","observation_id":"bbe91cdb-437e-48d5-b03f-7eb636a21a79","resolution":{"observed_at":"2026-08-11T22:10:37.950441Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.934863Z","title":"Where the ear fits: A perceptual evaluation of motor speech disorders,","venue":null,"work_id":"1c323413-5b0c-4ddb-8c51-9710b6ad46cc","year":1992},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.431371Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:02075fbf750692f72289efb9544c756a90966c1ae4e40bd80ce09b97928c7927","observation_id":"c60a844a-6e2c-4430-83e4-cb18b2b6d116","resolution":{"observed_at":"2026-08-11T22:10:37.939231Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.923999Z","title":"Implementing speech supplementation strategies: effects on intelligibility and speech rate of individuals with chronic severe dysarthria,","venue":null,"work_id":"96c651ca-94f7-42c3-a399-555d89b702d4","year":2003},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.435068Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:472ab1077f7be65faee3880797b89e8df77b11e20e523a514c224d0591f5cd83","observation_id":"5f5af256-ea9d-4efe-b02d-54d236c0ff0e","resolution":{"observed_at":"2026-08-11T22:10:37.928372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.913429Z","title":"Listener agreement for auditory-perceptual ratings of dysarthria,","venue":null,"work_id":"1d0d71bc-0940-40c1-a6bf-51045a04ad70","year":2007},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.438778Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:006693ecea6b88c4767ee459923a9150e9319c8dad801dd0ea2794240ca75b7d","observation_id":"932dc2a7-8531-426c-b2d6-34782c7b306f","resolution":{"observed_at":"2026-08-11T22:10:37.917303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.814134Z","title":"Classification of dysarthric speech according to the severity of impairment: an analysis of acoustic fea- tures,","venue":null,"work_id":"4901e72b-8f31-4bf5-a084-96c2f5332fab","year":2021},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.472645Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:c48072e919e6768ef81aeed56855f7320a61b6bb8ecb2bae09330ea0e7c8f4fc","observation_id":"071e6f30-4c7a-434c-90bb-37830f31e0ac","resolution":{"observed_at":"2026-08-11T22:10:37.817993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.891346Z","title":"Perceptual classification of motor speech disorders: The role of severity, speech task, and listener’s expertise,","venue":null,"work_id":"ffb28670-8a83-4972-b195-31a0d0d9a35e","year":2022},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.445766Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:94f11eeea2831749ad09cd560ef5aaeb80a997cedb1b1358312d1c6116ee2470","observation_id":"0b97a719-2cb8-4b23-95cb-39a50f97fb37","resolution":{"observed_at":"2026-08-11T22:10:37.895350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.879984Z","title":"Reliability of auditory- perceptual scaling of dysarthria,","venue":null,"work_id":"51de8f89-bb45-467c-badc-3cce75fa359f","year":1996},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.450056Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:d09c179548279d2f9ddb8144e7ff705858b5382bbe0591ffa12661a357e48ff2","observation_id":"5a36a6e1-7863-4717-b30c-fe80781da17c","resolution":{"observed_at":"2026-08-11T22:10:37.883777Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.868685Z","title":null,"venue":null,"work_id":"0d11791f-7851-43a4-a958-4fa95785603f","year":2023},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.454360Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:a7ce16b823c254fb07c01fbdf843e5c972655dc15af8eeb3dc4abdc098f0db30","observation_id":"1c2ed436-6e90-4c95-9358-b88d44186b0c","resolution":{"observed_at":"2026-08-11T22:10:37.872493Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.857035Z","title":"Automatic severity classification of dysarthric speech by using self-supervised model with multi-task learning,","venue":null,"work_id":"f6dad1b6-cbd8-46a4-87a0-370e5f9adf52","year":2023},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.457903Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:bdb21027c02e0ca764120a3444ff9bccd7b1abaee940a03e5552cbe7a354a6e0","observation_id":"0f4e4204-8a9f-44d6-9820-2fea1c5ec755","resolution":{"observed_at":"2026-08-11T22:10:37.861578Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.846277Z","title":"Adversarial- Free Speaker Identity-Invariant Representation Learn- ing for Automatic Dysarthric Speech Classification,","venue":null,"work_id":"ac5dfca1-6c22-4cb5-a89c-ee1d5467c49b","year":2022},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.462190Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:0663ec1b6c63f8aea7986b722e4f1930818f11302dd053289e00990601017791","observation_id":"bdaf8708-c5b7-4d53-98e9-32fa1e9b4a5b","resolution":{"observed_at":"2026-08-11T22:10:37.850252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:38.057549Z","title":"Inspired by these attributes, we designed two main categories of fea- tures: Pronunciation Correctness, and Structural Prosody","venue":null,"work_id":"4d6bd51b-d92d-4dac-be5b-e5bbd68bfa61","year":null},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.388815Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:82062198b417cd95a49e955e1f5c38dfe563380518cc2e5015581ab3428034df","observation_id":"a4825f48-fd86-4f4a-b35f-5b2588d617bd","resolution":{"observed_at":"2026-08-11T22:10:38.061575Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.835175Z","title":"Grad-cam: Visual explanations from deep net- works via gradient-based localization,","venue":null,"work_id":"4260881a-6da6-4614-a5e9-c6a082d4ecf3","year":2017},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.465933Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:2651de72e2cd9c11e7f4b7061ceca0e250267a18b3d4c5f2cf6ed458d239e0f5","observation_id":"a7005c40-a01c-41cf-97af-c3795c78391e","resolution":{"observed_at":"2026-08-11T22:10:37.838871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.824666Z","title":"Dysarthric Speech Classification Using Glottal Features Computed from Non-words, Words and Sentences,","venue":null,"work_id":"72a02293-50cb-46c7-b1d9-098b00e9066f","year":2018},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.469210Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:1f9822a86d863691c50fcb19f295ec1d84e44c5da669ae81974668c3a6424b04","observation_id":"f57ec410-0816-4517-b95d-251049f6d11c","resolution":{"observed_at":"2026-08-11T22:10:37.828509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.802736Z","title":"Phonological features in discrimina- tive classification of dysarthric speech,","venue":null,"work_id":"bc5d7463-dad3-450b-9b09-7f433178ce55","year":2009},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.476192Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:9e124bb7b7db5343021b8cf9d650062d96faa5f45e4626203c0551402480b603","observation_id":"05285f9a-e6aa-41aa-81ff-10a890208f5b","resolution":{"observed_at":"2026-08-11T22:10:37.807036Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.792090Z","title":"Neurospeech: An open-source software for parkinson’s speech analysis,","venue":null,"work_id":"d48b4d11-b005-4f70-8705-f6d1e97e95ac","year":2018},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.479914Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:171d6b101c541e1557d8a4279aaee26aba8f9cf69293c882d597d2e515d22980","observation_id":"06f0294a-4311-4743-9314-8575c30c4071","resolution":{"observed_at":"2026-08-11T22:10:37.795891Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.781488Z","title":"On using the ua-speech and torgo databases to validate automatic dysarthric speech classification approaches,","venue":null,"work_id":"b92a2996-64d0-43c2-b3ec-4ebd0c34dd45","year":2023},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.483282Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:aa7af44025c746eb3b68b3650f4377a1fee3b6a0b160c78a5c55bc36e042e328","observation_id":"75ff072a-de0b-45a5-a25e-018697872aec","resolution":{"observed_at":"2026-08-11T22:10:37.785477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.770939Z","title":"Speech Intelligibility of Dysarthric Speech: Human Scores and Acoustic-Phonetic Features,","venue":null,"work_id":"dcfdd38a-2d53-4141-824c-903430959c61","year":2021},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.486834Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:69fd6817e4771322e0dce744783a120194484a4292b63ec119d3af467e44e73e","observation_id":"40d07147-5196-4f7a-ab59-94c5f2f11b7b","resolution":{"observed_at":"2026-08-11T22:10:37.774695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.760412Z","title":"Praat, a system for doing phonetics by computer,","venue":null,"work_id":"7976f704-0c1d-4c17-b8f1-59e848b3a4aa","year":2001},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.490835Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:d6545d5f7e23320c8ed5d2d44d3e51ac04ddcb103d660c648a3f77db0e2ef6d4","observation_id":"3136a729-49e3-4c7b-b977-8232dfb0997d","resolution":{"observed_at":"2026-08-11T22:10:37.764250Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.747052Z","title":"Duffy, Motor speech disorders: Substrates, differential diagnosis, and management, Elsevier, 2020","venue":null,"work_id":"82109763-98cf-4fc9-a58f-3e1f03343772","year":2020},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.495297Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:7a6479cbef9d4168906e3d8cf0542181a9127f51f1373ac25edf1afe397568eb","observation_id":"6c0d7c3b-c052-4dbd-a65a-b2be85b1f181","resolution":{"observed_at":"2026-08-11T22:10:37.751950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.736254Z","title":"Dysarthria evaluation,","venue":null,"work_id":"73492ac0-4910-4620-ac3f-8ad9387d4c74","year":2005},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.499003Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:00b3a6df9b5d83427d15be6396821fd24b1d4bf130aa3256852d4e7bf45d3602","observation_id":"75c5a230-9e2b-418e-8012-988a63f18e25","resolution":{"observed_at":"2026-08-11T22:10:37.739999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.04356","last_updated":"2022-12-06T18:46:04Z","snapshot_observed_at":"2026-08-15T12:11:16.120794Z","submitted_at":"2022-12-06T18:46:04Z","title":"Robust Speech Recognition via Large-Scale Weak Supervision","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.04356","snapshot_observed_at":"2026-08-11T22:10:37.503197Z","title":"Robust speech recognition via large-scale weak supervision,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.503197Z"},"links":{"cited_paper":"/paper/2212.04356","citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:48300e4da1549ad70eb9e522e1842a5bca58861218830809f2b40ebd8f768d44","observation_id":"15804d5b-cf57-414d-a574-0a7e7e20145f","resolution":{"observed_at":"2026-08-11T22:10:37.503197Z","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":"2026-08-11T22:10:37.725412Z","title":"Inappropriate pause detection in dysarthric speech using large-scale speech recognition,","venue":null,"work_id":"47adfc89-d61b-415e-b688-9ccd36a9c7b0","year":2024},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.507417Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:b76f20edd50c15f9190e72e02173128d55b5f4b8a5a14a64df46fe7f01e092c6","observation_id":"7c5e403b-7116-4c77-89d9-2ef4acabbb7c","resolution":{"observed_at":"2026-08-11T22:10:37.729186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.713785Z","title":"Bertscore: Evaluating text generation with BERT,","venue":null,"work_id":"bb7cf61f-e404-4ea3-b938-a1a99ed4a67b","year":2020},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.511100Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:1ce6392714fcbcd5eda810e4989ef6f2da43ce156f70a9013d01cc3d333e9b20","observation_id":"c0c8a49d-8321-41de-a645-04446931cacc","resolution":{"observed_at":"2026-08-11T22:10:37.718081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.702211Z","title":"BERT: pre-training of deep bidi- rectional transformers for language understanding,","venue":null,"work_id":"04446788-1a16-40cf-bfe1-cd86a6acb8a1","year":2019},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.514592Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:23ff93c32c778abf2765d488be765bc40019052c3f28b62ed5efea2eca02030b","observation_id":"ef1ba940-b063-4b69-849a-9489c5f8b063","resolution":{"observed_at":"2026-08-11T22:10:37.706132Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.10591","last_updated":"2022-09-21T18:33:33Z","snapshot_observed_at":"2026-08-13T23:58:42.949475Z","submitted_at":"2022-09-21T18:33:33Z","title":"Assessing ASR Model Quality on Disordered Speech using BERTScore","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.10591","snapshot_observed_at":"2026-08-11T22:10:37.519163Z","title":"As- sessing ASR model quality on disordered speech using bertscore,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.519163Z"},"links":{"cited_paper":"/paper/2209.10591","citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:de02725236d16952e038d72aa8af01ed431423a59decdff0e3433293bb24a48f","observation_id":"5bdd4b40-ec4a-4f64-a4b3-b7fda8d462b8","resolution":{"observed_at":"2026-08-11T22:10:37.519163Z","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":"2026-08-11T22:10:37.690032Z","title":"KLUE: korean language understanding evaluation,","venue":null,"work_id":"06cef896-cb45-4889-ae42-65739d2a161c","year":2021},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.523013Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:7664f5524d8715b5e31f98c99fb13850d6bf0dbea5afe4dc465f4bedc336fb83","observation_id":"8dd45ecf-61e1-414c-b7fc-fa532919ff4e","resolution":{"observed_at":"2026-08-11T22:10:37.694947Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.678594Z","title":"Ef- fect of speech rate for sentences on speech intelligibil- ity,","venue":null,"work_id":"a25004f8-c158-45bf-9f92-22871fcca189","year":2014},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.526788Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:31964108c5ab280327cf3e3a6f8e7338366d684a4fd5c82d3225926ca2aa271c","observation_id":"7fd47091-bfba-40d4-8f78-21fea6b15784","resolution":{"observed_at":"2026-08-11T22:10:37.682718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.06505","last_updated":"2020-03-13T23:10:39Z","snapshot_observed_at":"2026-08-13T20:52:10.714829Z","submitted_at":"2020-03-13T23:10:39Z","title":"AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.06505","snapshot_observed_at":"2026-08-11T22:10:37.530337Z","title":"Autogluon-tabular: Robust and accurate automl for structured data,","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.530337Z"},"links":{"cited_paper":"/paper/2003.06505","citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:780431d0d8157bd2787ad1b382aa391defd563f41da6f290638b56fd2cac2d1f","observation_id":"fa83d160-99a7-46b6-bdfb-49cb10b986c6","resolution":{"observed_at":"2026-08-11T22:10:37.530337Z","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":"2026-08-11T22:10:37.666933Z","title":"Decoupled weight decay regularization,","venue":null,"work_id":"b9d9be05-2e3a-4161-b21d-03948258f8d2","year":2017},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.534451Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:aef470d8119b8f695504d01c3544d0313b2b31201eb267da0ea3dc4b4d247c61","observation_id":"af444272-2145-449e-955f-7eda3d28b233","resolution":{"observed_at":"2026-08-11T22:10:37.671218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.655232Z","title":"Cross-lingual dysarthria severity classi- fication for english, korean, and tamil,","venue":null,"work_id":"273133ef-8133-4a32-bd67-cc88af1e2324","year":2022},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.538429Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:e06e8ea4609a137dadc57f3c1d7ce4e81d875278432649f395cdde312c713e6a","observation_id":"772ef90a-41f6-4c8b-8fbb-946fbe759e6f","resolution":{"observed_at":"2026-08-11T22:10:37.659800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:10:37.543202Z","title":"In- troducing Parselmouth: A Python interface to Praat,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.543202Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:b8a98663607550b479fdccb48538649f01ec65a3415b970c7eaeb4ebfd85645b","observation_id":"6ba0d7db-3a81-4ff1-a118-642c6396f3b6","resolution":{"observed_at":"2026-08-11T22:10:37.543202Z","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":"2026-08-11T22:10:37.637271Z","title":"wav2vec 2.0: A framework for self-supervised learning of speech representations,","venue":null,"work_id":"1052503c-34ef-4338-bb42-72bd0b999e23","year":2020},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.547082Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:df56eb66fa48f4609f07386708ddb8fc56ae8c25b85b9ab2d7253c5aefe5b7a9","observation_id":"d9fc652e-c816-4499-ad0e-4476f851ace4","resolution":{"observed_at":"2026-08-11T22:10:37.641116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T22:10:37.625459Z","title":"Whisper Features for Dysarthric Severity-Level Classification,","venue":null,"work_id":"3a2b34aa-4083-44fa-a0f5-a0c94c201c3e","year":2023},"citing_paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T22:10:37.551128Z"},"links":{"citing_paper":"/paper/2412.03784"},"observation_digest":"sha256:30dd60ea7faee6929d1cc23168b499100bc3383e5e5b34e0496d13d75b544d82","observation_id":"030bead7-b50e-40ab-a08f-ea70a8b2de5d","resolution":{"observed_at":"2026-08-11T22:10:37.629898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.03784","last_updated":"2024-12-05T00:12:53Z","latest_version":1,"primary_category":"cs.SD","snapshot_observed_at":"2026-08-11T22:03:46.379136Z","submitted_at":"2024-12-05T00:12:53Z","title":"Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech"},"reference_resolution":{"displayed":44,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":36},"total_outbound_references":44},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2412.03784."}