{"as_of":"2026-08-10T07:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3f642bdf164b51aba8a79665577b4ea9de55d31767e64379f050b9e93617b418","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:14:10.731223Z","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":"2026-07-04T01:59:26.690851Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2010.10504","last_updated":"2022-07-20T22:31:00Z","snapshot_observed_at":"2026-07-06T10:06:22.268771Z","submitted_at":"2020-10-20T17:58:13Z","title":"Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition","version":2},"cited_work":{"arxiv_id":"2010.10504","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2010.10504","snapshot_observed_at":"2026-07-04T01:59:26.690851Z","title":"preprint arXiv:2010.10504 , year=","venue":null,"work_id":"704b6d9b-41d0-4e90-974d-8ffd623020b6","year":2010},"citing_paper":{"arxiv_id":"2309.16588","last_updated":"2024-04-12T09:38:33Z","snapshot_observed_at":"2026-08-07T09:40:32.614733Z","submitted_at":"2023-09-28T16:45:46Z","title":"Vision Transformers Need Registers","version":2},"reference_index":135,"source":"arxiv_source","source_observed_at":"2026-05-13T09:41:37.937046Z"},"links":{"cited_paper":"/paper/2010.10504","citing_paper":"/paper/2309.16588"},"observation_digest":"sha256:4348c4c897da2eade0233835042a24fe6b239d5cd3d6fec4edbf1457502798e5","observation_id":"f88df30a-06c3-407b-bcb2-d572eb1513ff","resolution":{"observed_at":"2026-05-13T09:41:38.220021Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.10504","last_updated":"2022-07-20T22:31:00Z","snapshot_observed_at":"2026-07-06T10:06:22.268771Z","submitted_at":"2020-10-20T17:58:13Z","title":"Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.10504","snapshot_observed_at":"2026-08-06T20:14:10.731223Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.03482","last_updated":"2025-07-04T11:19:47Z","snapshot_observed_at":"2026-08-09T04:28:43.543971Z","submitted_at":"2025-07-04T11:19:47Z","title":"OMAR-RQ: Open Music Audio Representation Model Trained with Multi-Feature Masked Token Prediction","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T20:14:10.731223Z"},"links":{"cited_paper":"/paper/2010.10504","citing_paper":"/paper/2507.03482"},"observation_digest":"sha256:fbde52d5395718f341803b7bed8a2f846f0853073d980d12a6701bab4cfd7456","observation_id":"64f6980f-7ad9-4342-a4ba-947767239bc0","resolution":{"observed_at":"2026-08-06T20:14:10.731223Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.10504","last_updated":"2022-07-20T22:31:00Z","snapshot_observed_at":"2026-07-06T10:06:22.268771Z","submitted_at":"2020-10-20T17:58:13Z","title":"Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.10504","snapshot_observed_at":"2026-08-05T10:16:12.143922Z","title":"Park, Wei Han, Chung-Cheng Chiu, Ruoming Pang, Quoc V","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.04393","last_updated":"2025-09-04T17:04:44Z","snapshot_observed_at":"2026-08-09T12:46:23.066946Z","submitted_at":"2025-09-04T17:04:44Z","title":"Contextualized Token Discrimination for Speech Search Query Correction","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-05T10:16:12.143922Z"},"links":{"cited_paper":"/paper/2010.10504","citing_paper":"/paper/2509.04393"},"observation_digest":"sha256:be96137dc14b48917cd30edb33a0fcb5ffd67fe5195b37fc6c49511e33bc353e","observation_id":"a93d609a-ea21-41e6-ba55-b07867f875dc","resolution":{"observed_at":"2026-08-05T10:16:12.143922Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.10504","last_updated":"2022-07-20T22:31:00Z","snapshot_observed_at":"2026-07-06T10:06:22.268771Z","submitted_at":"2020-10-20T17:58:13Z","title":"Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.10504","snapshot_observed_at":"2026-08-03T12:00:58.068320Z","title":"Pushing the limits of semi-supervised learning for automatic speech recognitio n,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2601.19919","last_updated":"2026-06-01T03:38:43Z","snapshot_observed_at":"2026-08-09T23:25:28.906145Z","submitted_at":"2026-01-08T08:05:30Z","title":"ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T12:00:58.068320Z"},"links":{"cited_paper":"/paper/2010.10504","citing_paper":"/paper/2601.19919"},"observation_digest":"sha256:fcd3cb61ba62eecfbbf8a2f370d0201544c629ecfaad86bba43c5f5c00d9245f","observation_id":"3b1ee6d2-3d86-4470-8032-10b3e767f42c","resolution":{"observed_at":"2026-08-03T12:00:58.068320Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.10504","last_updated":"2022-07-20T22:31:00Z","snapshot_observed_at":"2026-07-06T10:06:22.268771Z","submitted_at":"2020-10-20T17:58:13Z","title":"Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition","version":2},"cited_work":{"arxiv_id":"2010.10504","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2010.10504","snapshot_observed_at":"2026-07-04T01:59:26.690851Z","title":"preprint arXiv:2010.10504 , year=","venue":null,"work_id":"704b6d9b-41d0-4e90-974d-8ffd623020b6","year":2010},"citing_paper":{"arxiv_id":"2604.23077","last_updated":"2026-04-25T00:09:58Z","snapshot_observed_at":"2026-08-05T20:56:17.869894Z","submitted_at":"2026-04-25T00:09:58Z","title":"Adopting State-of-the-Art Pretrained Audio Representations for Music Recommender Systems","version":1},"reference_index":104,"source":"pdf_text","source_observed_at":"2026-05-08T07:17:42.922029Z"},"links":{"cited_paper":"/paper/2010.10504","citing_paper":"/paper/2604.23077"},"observation_digest":"sha256:a0a553faa6334e7e656f7ae30748560b93505fb30906a892c01419eefb3db800","observation_id":"bbe9dfa5-fcce-47f2-9ee4-c802b015bb37","resolution":{"observed_at":"2026-05-11T21:01:13.295845Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.10504","last_updated":"2022-07-20T22:31:00Z","snapshot_observed_at":"2026-07-06T10:06:22.268771Z","submitted_at":"2020-10-20T17:58:13Z","title":"Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition","version":2},"cited_work":{"arxiv_id":"2010.10504","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2010.10504","snapshot_observed_at":"2026-07-04T01:59:26.690851Z","title":"preprint arXiv:2010.10504 , year=","venue":null,"work_id":"704b6d9b-41d0-4e90-974d-8ffd623020b6","year":2010},"citing_paper":{"arxiv_id":"2606.10360","last_updated":"2026-06-10T02:35:34Z","snapshot_observed_at":"2026-08-06T23:03:49.090963Z","submitted_at":"2026-06-09T03:21:40Z","title":"ViP-VL: Vietnamese Self-supervised Speech Pretraining Model with Vector-Quantization Learning","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-27T12:09:32.426475Z"},"links":{"cited_paper":"/paper/2010.10504","citing_paper":"/paper/2606.10360"},"observation_digest":"sha256:dcdcfdb08bcf53e1a7c8fc2289a35a987e501c566e971d977d5486b89b1ac38a","observation_id":"680e46ee-f064-49bf-941f-5321f69532b5","resolution":{"observed_at":"2026-07-03T07:17:44.654564Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.10504","last_updated":"2022-07-20T22:31:00Z","snapshot_observed_at":"2026-07-06T10:06:22.268771Z","submitted_at":"2020-10-20T17:58:13Z","title":"Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition","version":2},"cited_work":{"arxiv_id":"2010.10504","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2010.10504","snapshot_observed_at":"2026-07-04T01:59:26.690851Z","title":"preprint arXiv:2010.10504 , year=","venue":null,"work_id":"704b6d9b-41d0-4e90-974d-8ffd623020b6","year":2010},"citing_paper":{"arxiv_id":"2606.18659","last_updated":"2026-06-17T04:00:06Z","snapshot_observed_at":"2026-07-30T02:31:06.367221Z","submitted_at":"2026-06-17T04:00:06Z","title":"Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-26T20:03:28.491546Z"},"links":{"cited_paper":"/paper/2010.10504","citing_paper":"/paper/2606.18659"},"observation_digest":"sha256:9f9a1e143db17d47f7200fcde9f8770cd46d5ee451cb960a0d8b7ff800a1bb19","observation_id":"a71b1d6b-c4c3-4976-b59f-32a318aad516","resolution":{"observed_at":"2026-07-04T01:59:26.693110Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2010.10504/citation-record","integrity":"/paper/2010.10504/integrity","json":"/paper/2010.10504/citation-record.json","paper":"/paper/2010.10504"},"outbound":[],"paper":{"arxiv_id":"2010.10504","last_updated":"2022-07-20T22:31:00Z","latest_version":2,"primary_category":"eess.AS","snapshot_observed_at":"2026-07-06T10:06:22.268771Z","submitted_at":"2020-10-20T17:58:13Z","title":"Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2010.10504."}