{"as_of":"2026-08-20T09:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3ae397180fe5f1f0588a953cd077ffcd8cb24ece12a1a7c62c07fd7f8c9637eb","coverage":[{"denominator":62,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":62,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T11:42:31.625421Z","state":"measured"},{"denominator":66,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":66,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:41:31.783306Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T06:41:25.957663Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.17851","snapshot_observed_at":"2026-08-15T20:41:31.783306Z","title":"Noisereduce: Domain general noise reduction for time series signals.arXiv preprint arXiv:2412.17851, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.783306Z"},"links":{"cited_paper":"/paper/2412.17851","citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:76d3bc004f7c97e21eaa3bf1a7588c0d94405b528836df03fe3bc44d00e00b15","observation_id":"d2d87e28-0e62-4c27-a5f8-f0dcc31e1f3f","resolution":{"observed_at":"2026-08-15T20:41:31.783306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"cited_work":{"arxiv_id":"2412.17851","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.17851","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"b0cacf79-9b69-462e-bb4f-54187c7cdf2e","year":2024},"citing_paper":{"arxiv_id":"2604.08405","last_updated":"2026-07-30T09:16:54Z","snapshot_observed_at":"2026-08-15T03:54:46.243030Z","submitted_at":"2026-04-09T16:03:24Z","title":"SyncBreaker:Stage-Aware Multimodal Adversarial Attacks on Audio-Driven Talking Head Generation","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-10T17:30:36.462567Z"},"links":{"cited_paper":"/paper/2412.17851","citing_paper":"/paper/2604.08405"},"observation_digest":"sha256:9a42ea8971bee292f834f2942ef18eb02919bab82cc9b5b4f5fdcd7627434774","observation_id":"eae4753e-c6cb-440c-a4e3-4daaff269246","resolution":{"observed_at":"2026-05-11T06:41:25.986809Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.17851","snapshot_observed_at":"2026-08-02T16:38:16.254894Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2604.08405","last_updated":"2026-07-30T09:16:54Z","snapshot_observed_at":"2026-08-15T03:54:46.243030Z","submitted_at":"2026-04-09T16:03:24Z","title":"SyncBreaker:Stage-Aware Multimodal Adversarial Attacks on Audio-Driven Talking Head Generation","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-02T16:38:16.254894Z"},"links":{"cited_paper":"/paper/2412.17851","citing_paper":"/paper/2604.08405"},"observation_digest":"sha256:88d2b54f07d17402c887a0c8879e602c9a877138c98e33798fe65d0ed29f4a45","observation_id":"f26f412b-381c-4e66-bc58-f02588fcd996","resolution":{"observed_at":"2026-08-02T16:38:16.254894Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.17851","snapshot_observed_at":"2026-08-14T04:19:14.434747Z","title":"Noisereduce: Domain general noise reduction for time series signals,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.10054","last_updated":"2026-08-10T17:53:14Z","snapshot_observed_at":"2026-08-18T11:41:43.584491Z","submitted_at":"2026-08-10T17:53:14Z","title":"Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T04:19:14.434747Z"},"links":{"cited_paper":"/paper/2412.17851","citing_paper":"/paper/2608.10054"},"observation_digest":"sha256:95dcd4005c3130b74afa2c9924925cd1654d05984aaaf4ae6d6c440128734258","observation_id":"7c817c01-19e3-46d0-9fa6-9fc9c1141e9b","resolution":{"observed_at":"2026-08-14T04:19:14.434747Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2412.17851/citation-record","integrity":"/paper/2412.17851/integrity","json":"/paper/2412.17851/citation-record.json","paper":"/paper/2412.17851"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:31.210366Z","title":null,"venue":null,"work_id":null,"year":1978},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.210366Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:b64e9cf7ef75b5a1a8b1b7f89f5f754972bc77590a89b166d297e36cb63bc4fc","observation_id":"1e1518f8-b245-44e4-a1ab-f0bfd7202055","resolution":{"observed_at":"2026-08-11T11:42:31.210366Z","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":"2026-08-11T11:42:33.741754Z","title":"Arneodo, T","venue":null,"work_id":"284b6097-0250-48bc-9ab8-2a59a154304c","year":2019},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.216976Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:996ffa8b64fa27ef2a934ca84edabe58a1efc586af2608d21c24165d468d932e","observation_id":"c482cafb-fcb8-4cd1-8fdd-e4618ff2d87f","resolution":{"observed_at":"2026-08-11T11:42:33.746744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:31.222126Z","title":"Beyreuther, R","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.222126Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:a67b5648ad79a96f3779cf04acd01b9dc8b2e6b333de6731f30b4266af135d7a","observation_id":"15499bb4-8bad-4f4c-b08b-2dfa64bc455d","resolution":{"observed_at":"2026-08-11T11:42:31.222126Z","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":"2026-08-11T11:42:33.723915Z","title":"Bhatt, S","venue":null,"work_id":"b47e7977-37e7-4ee1-9571-ed155e1db98c","year":2022},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.229175Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:f2f54deb7a5073939d0d73c161155e0c58b19f33571eb1b191824223a1994008","observation_id":"271aa048-384e-40ec-968e-725867e7b0fb","resolution":{"observed_at":"2026-08-11T11:42:33.729031Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.698897Z","title":null,"venue":null,"work_id":"9c0b969a-07f7-4729-bbf3-7546025b29a9","year":1979},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.233918Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:b57ca3c5e644e2bf4cc768b79dbbe7575c18fe22fd6c3cb8d7109f6ecaa0a6c8","observation_id":"ecc5294a-62b6-4336-9b6a-46bb8c1f2bb9","resolution":{"observed_at":"2026-08-11T11:42:33.706238Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:31.239201Z","title":null,"venue":null,"work_id":null,"year":1979},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.239201Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:e21559c07cb19fe2e9a1b6ede8624e4ba0616882416c0d402151df4ab53618ef","observation_id":"6a8cfdb2-b891-4d96-aa43-930c084d12db","resolution":{"observed_at":"2026-08-11T11:42:31.239201Z","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":"2026-08-11T11:42:33.681020Z","title":null,"venue":null,"work_id":"1c424eac-515b-42fd-8913-7a18cfa2cc00","year":2021},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.244280Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:0c0b7971d75aa93efbbdd05505aa4a6aad332b1b429b1083ef5115d31e3916c1","observation_id":"2f45918b-2832-42a3-9b51-ed411ee3974b","resolution":{"observed_at":"2026-08-11T11:42:33.685844Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.664307Z","title":null,"venue":null,"work_id":"4e1c52e9-deac-43d0-ae19-d764ffb5257f","year":2020},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.248973Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:3b6386ea166cde50b2e9d2f32d9a8c423ff6c39cc529fc852b296269d269a5e7","observation_id":"93351ac6-fe9a-4f20-96eb-eb5eb37dcc26","resolution":{"observed_at":"2026-08-11T11:42:33.668730Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.645523Z","title":null,"venue":null,"work_id":"579b3931-6a85-475f-bdae-cfe0892515b2","year":2024},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.255421Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:9e87b9199e6556eefe512d0039f7dd4613034da6e592abcd9640e626748f4f4b","observation_id":"973f40aa-fa73-490e-bd1b-6f72f51bea5b","resolution":{"observed_at":"2026-08-11T11:42:33.649763Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.12847","last_updated":"2020-09-06T14:32:59Z","snapshot_observed_at":"2026-08-18T11:37:08.888228Z","submitted_at":"2020-06-23T09:19:13Z","title":"Real Time Speech Enhancement in the Waveform Domain","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.12847","snapshot_observed_at":"2026-08-11T11:42:31.261843Z","title":"Defossez, G","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.261843Z"},"links":{"cited_paper":"/paper/2006.12847","citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:5cd0e483c403b03603e754d4f78d3b42fd3a2024d2b013cebbde9a06b6784b62","observation_id":"cbc7b3d0-2f48-4c38-964f-b4f017cc19c9","resolution":{"observed_at":"2026-08-11T11:42:31.261843Z","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":"10.1785/bssa0840020366","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:31.819586Z","title":null,"venue":null,"work_id":"8c8361f4-203f-4b6a-ae10-219c0129f2a7","year":1994},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.272393Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:fd7a04c01078d833400fbe8d75f887bda2890dc303e861f20ebd186f6450c4a6","observation_id":"e4b6d0e3-f1f0-43d6-8379-35c054745396","resolution":{"observed_at":"2026-08-11T11:42:31.828052Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.627627Z","title":"Ephraim and H","venue":null,"work_id":"851c7e13-1067-4cdf-9fae-479c35d78fad","year":1995},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.279765Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:b56962958ce18e892e2a66d07046408946f5a3a2c996dd999a2f144d8714de02","observation_id":"9afff20f-455e-4d2c-ad9a-49c7bd1a8da6","resolution":{"observed_at":"2026-08-11T11:42:33.633158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.609517Z","title":"Fleishman, D","venue":null,"work_id":"33a86286-ef74-4fc8-a525-05ef443b31aa","year":2023},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.284529Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:81835d5e76676b33417603339a95aa35a28e84f41e195051e19d0a6ea2aa343d","observation_id":"f02c3077-2887-4d9f-ad06-0cc6770830e5","resolution":{"observed_at":"2026-08-11T11:42:33.614787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.21437/interspeech.2019-1567","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:31.798163Z","title":null,"venue":null,"work_id":"53edc2aa-1d74-4a6b-94ec-383f54c7cfb8","year":2019},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.290776Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:d098a45a79f90b3fccc1612a7ac62d097df4116a3bbff76cde744a0c2164ab74","observation_id":"e459bd01-656a-415d-a003-42e942cd25bc","resolution":{"observed_at":"2026-08-11T11:42:31.803545Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:31.295479Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.295479Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:08c35582c4f37c292d0155802421032d7f42c4b9eb978b922040b55f4d0de69a","observation_id":"012876fb-cfb9-4f29-a7c7-3b54a25e76c3","resolution":{"observed_at":"2026-08-11T11:42:31.295479Z","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":"2002.57437","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:32.675880Z","title":"Hu and P","venue":null,"work_id":"23e3eb2e-5009-4bff-b5b1-ae5255d2e2f0","year":2002},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.303969Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:b80c6c0f43dc7414b7b45114d0d90152674a28c2b18bbea3bea5ddecdcb09a8c","observation_id":"19df7042-d8c0-4e22-8be8-1e4179f5315a","resolution":{"observed_at":"2026-08-11T11:42:32.684595Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:31.312558Z","title":"Hu and P","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.312558Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:7e78686f249879ee099444e11581d4c648c232febc6e838d8782ca49f9ccb406","observation_id":"87bc5d25-a5b8-4281-841d-ffd1ae0f7d49","resolution":{"observed_at":"2026-08-11T11:42:31.312558Z","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":"2026-08-11T11:42:33.595030Z","title":null,"venue":null,"work_id":"61bf3cfe-b42f-4ac8-93b4-d7bc8aaae7c7","year":2021},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.318574Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:58844bdc453e798918d069d70fb93a6363e6bebc0cc4b87d9e70cd1f96984f7c","observation_id":"0c449996-7318-46eb-8a26-fc012d7a019e","resolution":{"observed_at":"2026-08-11T11:42:33.600589Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.580077Z","title":"P.56:Objective measurement of active speech level, 1993","venue":null,"work_id":"e3fe3711-68fe-4da6-8d49-84d0f2f8c59b","year":1993},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.323537Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:c7f7c765840f2a4b3f8f9b9caf84118685a65afd2b815426c400466cbc4b03c1","observation_id":"1f779c52-063f-4c0b-af5d-b044853789ea","resolution":{"observed_at":"2026-08-11T11:42:33.585080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.558006Z","title":null,"venue":null,"work_id":"e0d73e9c-7112-4a0f-8f1d-7db1d24f7c22","year":2021},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.328837Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:76cb30a0799fe445d58d37bc011aea3b20410769d12e6e74e78be32677b5dc2e","observation_id":"1fc85338-d976-458e-9262-14ff81a8cb20","resolution":{"observed_at":"2026-08-11T11:42:33.564190Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.528320Z","title":"Lee, S.-H","venue":null,"work_id":"67ab26a8-b33a-4b5d-985a-839f24821b3a","year":2023},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.333299Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:2e16c2f1a7cb60e7aa32183b3085e18930fbc0b0e50fc180afbb8ffc25ff32eb","observation_id":"d1f4170b-36a5-40cf-a296-bc042c5d5f55","resolution":{"observed_at":"2026-08-11T11:42:33.535928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.508248Z","title":"Lee, S.-H","venue":null,"work_id":"18270cf6-eb08-4f4d-af77-3047a29fd08f","year":2023},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.337628Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:f9add469f838a0bd8619084ac1eb41dc809b1f07abcf5d08059d0b6648690a78","observation_id":"b8f7b8ff-a0cf-4c28-9bc4-e584f4c26c2b","resolution":{"observed_at":"2026-08-11T11:42:33.516562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.487089Z","title":"Li, P.-W","venue":null,"work_id":"7d374444-97e3-41d8-adae-83b285985294","year":2024},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.342072Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:1a57d5dd708521610bd1a4c42f91b54efd119f23b6922957881224840dded1d5","observation_id":"e57e88c1-e847-4e70-88d6-a24ec1b04ad7","resolution":{"observed_at":"2026-08-11T11:42:33.493563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.463880Z","title":null,"venue":null,"work_id":"71f73613-d29f-426d-8091-cb80601db963","year":2023},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.347284Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:f413a5915f498dc50dbc2e1ee3a0bb385268103eac925dfe6723fbd0ee364b2a","observation_id":"4429cc86-54e5-4d49-9199-11cc48353d9f","resolution":{"observed_at":"2026-08-11T11:42:33.468896Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:31.351718Z","title":"Lim and A","venue":null,"work_id":null,"year":1978},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.351718Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:11b0db46c3855ae6724022ea073c54d0e54ccfb720937f530dabb8aa1a2e38a3","observation_id":"46ed83b5-89a3-4220-b2c9-d834617b9060","resolution":{"observed_at":"2026-08-11T11:42:31.351718Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-11T11:42:33.440373Z","title":null,"venue":null,"work_id":"d595bb45-c38a-45ad-b430-4d1928de6032","year":1990},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.356289Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:9374e665834aac10f1b40b827fe5b383b6a2ef24fdea53ad2a6c579e3f520e48","observation_id":"8a287869-aef8-45dc-8673-a9bb3233d6b8","resolution":{"observed_at":"2026-08-11T11:42:33.447086Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.422151Z","title":null,"venue":null,"work_id":"527c0149-490a-4f0c-a580-39fade8e537e","year":2021},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.360664Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:9abf910c7f3e723dfdd205f1d170cbb4c14d26dff7692af1feceb20094bab6df","observation_id":"5c70f3cc-3c4d-4085-9d73-5e0cd445f076","resolution":{"observed_at":"2026-08-11T11:42:33.427512Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.405910Z","title":null,"venue":null,"work_id":"2bdf2d9f-be9e-4c42-811c-e29da43a8ff6","year":2013},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.367466Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:49666cc294178dd6cea34070c457a77faf10eb3e4b943bed146302059bd8bc73","observation_id":"1ebfa6f5-15ca-4530-87ae-56b03bbabc46","resolution":{"observed_at":"2026-08-11T11:42:33.411800Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.377337Z","title":null,"venue":null,"work_id":"542f0248-75f9-4dc6-8341-5239adf9927e","year":2007},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.372091Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:a8deac74b089c521545399d562a0b5679d1abd9e224a071d78143005571e7ee1","observation_id":"8e2017d3-2462-4159-842d-268a0da07979","resolution":{"observed_at":"2026-08-11T11:42:33.389733Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.358700Z","title":"Lostanlen, J","venue":null,"work_id":"a440a4f2-b1ed-4cc2-b88c-abf22e3f3583","year":2018},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.378365Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:1426a630a127c4a4b5c1acc5fb0926d8524d8e58bc7a0e0ce17a845b3fa10509","observation_id":"5d70afcd-8d83-4cd6-be77-8f8addf026dd","resolution":{"observed_at":"2026-08-11T11:42:33.363808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.330712Z","title":"Macartney and T","venue":null,"work_id":"63c1d1d5-e516-4813-92f4-be6a0ec08b5c","year":null},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.388627Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:1a48d88377b5c6394ea47645f714a35b8ef599e3818f5a6d0df775ab6fc79d38","observation_id":"a4974f3f-ecbc-444c-8ac8-712b3a36dced","resolution":{"observed_at":"2026-08-11T11:42:33.336414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.314152Z","title":"Magland, J","venue":null,"work_id":"25e07db8-4585-4c46-bb54-a2766ba5287a","year":2020},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.402081Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:217103ce8127e572d04f62a03835f606489d950fd9d9f77426cf6975feaa3dad","observation_id":"47729dca-a5ce-49af-a3de-78cda18e0645","resolution":{"observed_at":"2026-08-11T11:42:33.320295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.293065Z","title":null,"venue":null,"work_id":"482e97d2-beff-4a7e-8c59-9ef2d013ea84","year":2024},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.409302Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:d501ccafe64e7ba56dd35848fb750319b9ca641f48557798f99d97a2cff9a39f","observation_id":"15df5936-0915-41b9-bc4e-0f8318a22d16","resolution":{"observed_at":"2026-08-11T11:42:33.298874Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.277626Z","title":"Mandala, S","venue":null,"work_id":"2fc9a677-a434-4949-adff-d8397a27daef","year":2023},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.419293Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:8515c94e547ffa7d5131f1416ac672756b88d23f65f71583d3b3bbcfde2135b5","observation_id":"04115a30-7d16-40f3-b568-ebe36212125b","resolution":{"observed_at":"2026-08-11T11:42:33.281880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.263128Z","title":"Mazzocconi, B","venue":null,"work_id":"7fc706d4-10dd-4619-b416-dc8ea738594e","year":2023},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.429271Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:391b90df10e266558ed6c9d1468ac42f1ae09d8de09d9ac0074ce70a50dcbb03","observation_id":"01607697-63e6-47fc-baaf-66d2c58154b1","resolution":{"observed_at":"2026-08-11T11:42:33.267498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.248709Z","title":"McEwen, K","venue":null,"work_id":"34e1eec6-d114-4b6e-af57-80f5b3dcdcaf","year":2023},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.435014Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:889e2dece1285d26e3fbf34b5fe5f48d83c7f7f9f19a1e98daa5c60f92732c0a","observation_id":"6b0d48d9-60db-4148-920b-6a18fc29a27b","resolution":{"observed_at":"2026-08-11T11:42:33.252951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.229006Z","title":"McGinn, S","venue":null,"work_id":"f8e2d78b-0dbb-4295-9fea-14aba060a6f1","year":2023},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.439608Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:8de6eb45885291d39ace0063f4782664777e20a5e821c6055e8419e3509aefbd","observation_id":"a873b97c-b07a-4ae6-b1a3-4ce1c1bcad40","resolution":{"observed_at":"2026-08-11T11:42:33.235146Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.210041Z","title":"Megela Simmons, J","venue":null,"work_id":"d8bc4f69-1fce-4bca-90d2-e8c0e7de50c4","year":2008},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.446188Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:018a9c20411571d043915c1b2cd29b86da89075afaf9f4ed89249fb2aacff6c7","observation_id":"e3d7bc23-21a5-4cca-9611-e3768f67c944","resolution":{"observed_at":"2026-08-11T11:42:33.217430Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.192186Z","title":"Mehrish, N","venue":null,"work_id":"a74df0db-eae2-4bc1-896a-3bdfa4c4a8e0","year":2023},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.452942Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:932503874e6e1b5831d6c2edadc10a58225018e2bb31304b8037e9e87c3c4908","observation_id":"10c130e8-60ad-4c88-9066-72441f66b83d","resolution":{"observed_at":"2026-08-11T11:42:33.197043Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.173504Z","title":"Michaud, J","venue":null,"work_id":"4acf071d-adfa-4e37-b629-f4aa3572eed5","year":2023},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.457680Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:10f022487d4d55b104a9e1268a019db6976ebbd9352f1dee8d0a8eac6a05bea3","observation_id":"fea92846-9204-45d0-9634-965ad9038b5f","resolution":{"observed_at":"2026-08-11T11:42:33.182284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1703.09452","last_updated":"2017-06-09T11:34:06Z","snapshot_observed_at":"2026-08-14T21:09:40.825053Z","submitted_at":"2017-03-28T08:39:06Z","title":"SEGAN: Speech Enhancement Generative Adversarial Network","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.09452","snapshot_observed_at":"2026-08-11T11:42:31.461849Z","title":"Pascual, A","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.461849Z"},"links":{"cited_paper":"/paper/1703.09452","citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:0115e43a79c68483dbb35f8476800842279f3c01423b1fd4ce5c30568c3615ee","observation_id":"84545efd-feed-49bf-b8a9-2dc5e6a66a75","resolution":{"observed_at":"2026-08-11T11:42:31.461849Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:31.468721Z","title":null,"venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.468721Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:a4cf234cddaa7812fa8420692df18163b0720d70294306ccbbe6cae5ebfc842a","observation_id":"ff6651ad-ebd3-4554-a347-276a1b723a5c","resolution":{"observed_at":"2026-08-11T11:42:31.468721Z","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":"2026-08-11T11:42:33.156209Z","title":"Sainburg and T","venue":null,"work_id":"5f67393a-397c-4131-b77a-85747506007a","year":2021},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.476003Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:312c7e5801dd4582a5fe4c7eef1ba8532fd1ec53c46e9f16519569f3ddef91de","observation_id":"8a882a7c-7fc0-4c33-97f1-f20813adee62","resolution":{"observed_at":"2026-08-11T11:42:33.161710Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5281/zenodo.13947444","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:31.772748Z","title":"Sainburg and A","venue":null,"work_id":"061ce43e-f2fd-425d-8296-4b0edceccbae","year":2024},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.481191Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:943862dc0e55290d8b6f90359cda07850f19b9455e2df926ddca25acaefa8eb9","observation_id":"748494d0-4aee-4bf6-8ca7-1c8a1d6d6441","resolution":{"observed_at":"2026-08-11T11:42:31.780320Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.138397Z","title":"Sainburg, B","venue":null,"work_id":"e5a9d3e6-e648-4e1a-9c55-d6eca754294b","year":2019},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.492849Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:0dfbf540e6f832d473fd2064350f086d8beddbbeb97f6c230b81f4452f5a8766","observation_id":"93aca25e-74c2-45af-8e50-ca12625aa4e8","resolution":{"observed_at":"2026-08-11T11:42:33.143924Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.123018Z","title":"Sainburg, M","venue":null,"work_id":"ba46cd62-a50b-4849-977b-531e70b9d07e","year":2020},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.501986Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:316ac10c4462311b3bee0a781bf299fc347c36150e81096247726f16fc9bc8d4","observation_id":"a2c18a40-4c80-4d8e-adee-d9cb6c621f7f","resolution":{"observed_at":"2026-08-11T11:42:33.127531Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.101540Z","title":"Savitzky and M","venue":null,"work_id":"4a452776-1d6d-4588-9186-56d3dafc1c2e","year":1964},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.509243Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:8a90a6935f05eca1f864771305b9e89719fea4ecaf9c355f5d7589e8a5a1d15e","observation_id":"161722d7-6b2b-467f-9c2a-eaa47b6562bd","resolution":{"observed_at":"2026-08-11T11:42:33.110332Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.060222Z","title":null,"venue":null,"work_id":"46183dbc-5704-4ee0-a6aa-ed34468001ad","year":2018},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.519996Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:a91e1fe747551e08a93cdf3f75d88edd5f61cfa67fb77bcb6582dc7431917a4e","observation_id":"1b2029b0-2a56-43b9-a1ab-d20416175bf3","resolution":{"observed_at":"2026-08-11T11:42:33.072002Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.037653Z","title":"Spiller, N","venue":null,"work_id":"f5b70138-a151-4f20-812f-28f10be929c2","year":2024},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.528191Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:11e62996f4c63a3c2b50cab8567b944e1bcc7675072002044e3a918401759728","observation_id":"45ab37ff-def7-417b-bff9-2301017f6f2b","resolution":{"observed_at":"2026-08-11T11:42:33.043195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:33.021547Z","title":null,"venue":null,"work_id":"68b54ea0-1921-4ac9-a91a-0b0ebead828a","year":2021},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.535452Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:4d4df98d77a2e4e93909757e7cdcac7ad31130af8fa15b112ec0f060dc3d76db","observation_id":"edc6e4d4-7abd-4751-a517-0c4cf0fd2390","resolution":{"observed_at":"2026-08-11T11:42:33.027628Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:31.541082Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.541082Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:bb5a6f5a7050d34da72adc838b5a69883e1eef693fa375d0c9e7b9a90719b0ad","observation_id":"ab7359ab-017f-4677-a697-38d104527225","resolution":{"observed_at":"2026-08-11T11:42:31.541082Z","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":"2026-08-11T11:42:33.002520Z","title":null,"venue":null,"work_id":"47e1058e-d55e-4a6d-93e2-45e590c040cc","year":2018},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.545803Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:5439e434231d4d9b16f448ed19b80558e88139fe58271645d91964600b2233d1","observation_id":"bd604086-8f0c-4b29-bf7e-f1a43519251a","resolution":{"observed_at":"2026-08-11T11:42:33.009354Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.2312/gfz.nmsop-2","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:31.740225Z","title":"Trnkoczy","venue":null,"work_id":"961c5b46-4c34-429e-b2f2-a82476a3eb6d","year":2009},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.551707Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:e94fa72c9c478e46055985c2078bb9d6fb483594e0a0c72400f24bfe95238b05","observation_id":"c77d3c2a-3104-4bc4-8830-e4eb133559ac","resolution":{"observed_at":"2026-08-11T11:42:31.754286Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.15468/9u3zaq","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:31.705628Z","title":"Vellinga","venue":null,"work_id":"c789cfd2-264e-48ce-95ff-af70e3a481d5","year":2024},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.558789Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:7bd435ab4f108eb81603847c98f7c9bfcc4df03a1a4761c0a60568e3b8b6e0f8","observation_id":"d8d16518-2eb6-47a7-80a7-f65d8e441e12","resolution":{"observed_at":"2026-08-11T11:42:31.712587Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1111/j.1365-246x.1990.tb00544.x","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:31.677030Z","title":"Weber and J","venue":null,"work_id":"04f86c55-3ca8-4d85-a09b-4c22b5a0c395","year":1990},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.570071Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:d073fa93c39d9173c6cc89cff50736199051654e58040a02e1026e49ad042a18","observation_id":"e3ede871-3617-42b8-8aea-315065db1fe7","resolution":{"observed_at":"2026-08-11T11:42:31.687160Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:32.984196Z","title":null,"venue":null,"work_id":"60baf95b-13b9-4869-88c4-5e4e98dde2a3","year":2021},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.581802Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:bdb6542088ac134ce90a3ec7e630f9f1fea6cdffcd3350f0371aabac3e6fdd5f","observation_id":"0ec55dcd-1f76-4bb9-b50f-05f23a0ed3b3","resolution":{"observed_at":"2026-08-11T11:42:32.989353Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.16599","last_updated":"2020-11-21T03:34:48Z","snapshot_observed_at":"2026-08-17T09:43:02.957652Z","submitted_at":"2020-06-30T08:27:36Z","title":"Terahertz Pulse Shaping Using Diffractive Surfaces","version":2},"cited_work":{"arxiv_id":"2006.16599","doi":null,"metadata_source":"pith","pith_arxiv_id":"2006.16599","snapshot_observed_at":"2026-08-11T11:42:32.213274Z","title":"Terahertz Pulse Shaping Using Diffractive Surfaces","venue":"physics.optics","work_id":"eda65a5e-0d0f-4720-89ea-552642ed107a","year":2020},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.589304Z"},"links":{"cited_paper":"/paper/2006.16599","citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:771ae0b5da03f31671109ac8a3eed88b55a6b9c1078ff694af3677c0d17e2715","observation_id":"ba46c563-61dd-4db7-880c-1b3ef46f62b3","resolution":{"observed_at":"2026-08-11T11:42:32.221331Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2018.28707","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:32.028681Z","title":"Zheng and X.-L","venue":null,"work_id":"8eca59ef-33df-44ac-8eb2-5836969e048f","year":2019},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.595325Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:9f458abfd3761e07b6517b2785863adef58eeee2e3f66f921230103c98202680","observation_id":"65aa2248-bd57-4b46-b324-577257e646a1","resolution":{"observed_at":"2026-08-11T11:42:32.193326Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:31.600100Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.600100Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:eb4e8c38c45bca973e9021271c49f44e23272b2eb2501fb204f643b85a9fe069","observation_id":"de2356f7-db72-4c42-ad29-e824d23c9bee","resolution":{"observed_at":"2026-08-11T11:42:31.600100Z","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":"2026-08-11T11:42:32.955670Z","title":null,"venue":null,"work_id":"24f6b601-fc60-4099-8af7-e40c09bc02bd","year":2019},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.617855Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:7a2511b8b869cf9567466af02bd34bd934c4e823ea12b02c1795e7d0ec594729","observation_id":"f4bdcd1b-6c6a-4e4e-8e6c-2c2901a5af6f","resolution":{"observed_at":"2026-08-11T11:42:32.962422Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:42:31.625421Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.625421Z"},"links":{"citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:60196b6589d366d0d2749d5533cff4adba0fb70c5b0e304e8bee47951668cb1c","observation_id":"da9023e0-ede1-4e44-a08f-5cc8a3e9124e","resolution":{"observed_at":"2026-08-11T11:42:31.625421Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1811.11307","last_updated":"2018-11-27T23:11:05Z","snapshot_observed_at":"2026-08-14T17:52:21.281756Z","submitted_at":"2018-11-27T23:11:05Z","title":"Improved Speech Enhancement with the Wave-U-Net","version":1},"cited_work":{"arxiv_id":"1811.11307","doi":null,"metadata_source":"pith","pith_arxiv_id":"1811.11307","snapshot_observed_at":"2026-08-11T11:42:32.398597Z","title":"Improved Speech Enhancement with the Wave-U-Net","venue":"cs.SD","work_id":"e884ded5-ce26-4490-b440-ceaec9593e41","year":2018},"citing_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-11T11:42:31.395725Z"},"links":{"cited_paper":"/paper/1811.11307","citing_paper":"/paper/2412.17851"},"observation_digest":"sha256:5f8a6e365969840f7001bba49bdbd628d58e782cadac3d45ae1f67ccefc990d4","observation_id":"2b41740c-fcfa-4219-89cc-ca9fd6214723","resolution":{"observed_at":"2026-08-11T11:42:32.403626Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","latest_version":1,"primary_category":"eess.SP","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals"},"reference_resolution":{"displayed":62,"state_counts":{"malformed_identifier":2,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":28,"verified_exact":8,"verified_fuzzy":22},"total_outbound_references":62},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 4 inbound Pith citation observations for arXiv:2412.17851."}