{"as_of":"2026-08-07T01:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3d12cbf467d2bbfaed5abd50bdde73723f2f4dc19ef656c7de50cfeb4d6c80b1","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T00:30:12.153813Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-05T13:21:06.219289Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2012.05481","last_updated":"2021-12-29T10:38:00Z","snapshot_observed_at":"2026-07-06T10:22:25.341862Z","submitted_at":"2020-12-10T06:54:54Z","title":"Unified Streaming and Non-streaming Two-pass End-to-end Model for Speech Recognition","version":2},"cited_work":{"arxiv_id":"2012.05481","doi":null,"metadata_source":"pith","pith_arxiv_id":"2012.05481","snapshot_observed_at":"2026-07-05T13:21:06.219289Z","title":"Unified streaming and non-streaming two-pass end-to-end model for speech recognition","venue":"cs.SD","work_id":"b44c0f62-d70b-4a53-a835-ffd9e526c438","year":2020},"citing_paper":{"arxiv_id":"2601.20896","last_updated":"2026-04-23T07:03:51Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-01-28T08:56:11Z","title":"A Study of Data Selection Strategies for Pre-training Self-Supervised Speech Models","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-16T10:17:15.726726Z"},"links":{"cited_paper":"/paper/2012.05481","citing_paper":"/paper/2601.20896"},"observation_digest":"sha256:a3e9da42205de741e893294541d124b8008f6b0e5e2d613b72a7521ba6611053","observation_id":"c15b48dd-76b3-4ddd-be3e-19c2916165fc","resolution":{"observed_at":"2026-05-16T10:17:43.805945Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.05481","last_updated":"2021-12-29T10:38:00Z","snapshot_observed_at":"2026-07-06T10:22:25.341862Z","submitted_at":"2020-12-10T06:54:54Z","title":"Unified Streaming and Non-streaming Two-pass End-to-end Model for Speech Recognition","version":2},"cited_work":{"arxiv_id":"2012.05481","doi":null,"metadata_source":"pith","pith_arxiv_id":"2012.05481","snapshot_observed_at":"2026-07-05T13:21:06.219289Z","title":"Unified streaming and non-streaming two-pass end-to-end model for speech recognition","venue":"cs.SD","work_id":"b44c0f62-d70b-4a53-a835-ffd9e526c438","year":2020},"citing_paper":{"arxiv_id":"2604.18105","last_updated":"2026-06-18T09:00:08Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-20T11:21:06Z","title":"NIM4-ASR: Towards Efficient, Robust, and Customizable Real-Time LLM-Based ASR","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-10T03:48:14.211240Z"},"links":{"cited_paper":"/paper/2012.05481","citing_paper":"/paper/2604.18105"},"observation_digest":"sha256:74e59b0ebcf6d1da4884846449679b9d7d52ff86cbcd00626bab7f4e261d86d3","observation_id":"ac20fda9-1cab-4441-8df6-468ebed687c7","resolution":{"observed_at":"2026-05-11T12:21:05.877936Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.05481","last_updated":"2021-12-29T10:38:00Z","snapshot_observed_at":"2026-07-06T10:22:25.341862Z","submitted_at":"2020-12-10T06:54:54Z","title":"Unified Streaming and Non-streaming Two-pass End-to-end Model for Speech Recognition","version":2},"cited_work":{"arxiv_id":"2012.05481","doi":null,"metadata_source":"pith","pith_arxiv_id":"2012.05481","snapshot_observed_at":"2026-07-05T13:21:06.219289Z","title":"Unified streaming and non-streaming two-pass end-to-end model for speech recognition","venue":"cs.SD","work_id":"b44c0f62-d70b-4a53-a835-ffd9e526c438","year":2020},"citing_paper":{"arxiv_id":"2604.18105","last_updated":"2026-06-18T09:00:08Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-20T11:21:06Z","title":"NIM4-ASR: Towards Efficient, Robust, and Customizable Real-Time LLM-Based ASR","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-05T13:15:50.794969Z"},"links":{"cited_paper":"/paper/2012.05481","citing_paper":"/paper/2604.18105"},"observation_digest":"sha256:29d6f37087f4ab4686582e2fc7d7aa9416cae4c61e521818b5cb4c0d42f733d9","observation_id":"d5abe31f-6cd1-4942-b71c-8d865372d548","resolution":{"observed_at":"2026-07-05T13:21:06.222299Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.05481","last_updated":"2021-12-29T10:38:00Z","snapshot_observed_at":"2026-07-06T10:22:25.341862Z","submitted_at":"2020-12-10T06:54:54Z","title":"Unified Streaming and Non-streaming Two-pass End-to-end Model for Speech Recognition","version":2},"cited_work":{"arxiv_id":"2012.05481","doi":null,"metadata_source":"pith","pith_arxiv_id":"2012.05481","snapshot_observed_at":"2026-07-05T13:21:06.219289Z","title":"Unified streaming and non-streaming two-pass end-to-end model for speech recognition","venue":"cs.SD","work_id":"b44c0f62-d70b-4a53-a835-ffd9e526c438","year":2020},"citing_paper":{"arxiv_id":"2606.08486","last_updated":"2026-06-07T07:15:34Z","snapshot_observed_at":"2026-07-06T23:47:57.376596Z","submitted_at":"2026-06-07T07:15:34Z","title":"TRADE: Transducer-Augmented Decoder for Speech LLM","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-06-27T18:40:19.688550Z"},"links":{"cited_paper":"/paper/2012.05481","citing_paper":"/paper/2606.08486"},"observation_digest":"sha256:199a8cd91201df36c00a3102a9760fc66d08b876b0bc4bccc83421e31d79206f","observation_id":"18b90027-1df9-4311-aadd-992dba7bb252","resolution":{"observed_at":"2026-07-02T22:47:25.701123Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.05481","last_updated":"2021-12-29T10:38:00Z","snapshot_observed_at":"2026-07-06T10:22:25.341862Z","submitted_at":"2020-12-10T06:54:54Z","title":"Unified Streaming and Non-streaming Two-pass End-to-end Model for Speech Recognition","version":2},"cited_work":{"arxiv_id":"2012.05481","doi":null,"metadata_source":"pith","pith_arxiv_id":"2012.05481","snapshot_observed_at":"2026-07-05T13:21:06.219289Z","title":"Unified streaming and non-streaming two-pass end-to-end model for speech recognition","venue":"cs.SD","work_id":"b44c0f62-d70b-4a53-a835-ffd9e526c438","year":2020},"citing_paper":{"arxiv_id":"2606.21268","last_updated":"2026-06-19T09:46:42Z","snapshot_observed_at":"2026-07-06T23:56:17.293417Z","submitted_at":"2026-06-19T09:46:42Z","title":"Online Predictive Coding for Dual-Mode Self-Supervised Speech Model","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-26T13:15:04.922107Z"},"links":{"cited_paper":"/paper/2012.05481","citing_paper":"/paper/2606.21268"},"observation_digest":"sha256:c26a835b6cdcc2fcce8e640309c7f87f408423b5e9bb97c06ec293e6646e0794","observation_id":"2cb1b489-1675-4243-9293-65dc665d5e53","resolution":{"observed_at":"2026-07-04T07:39:38.781197Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.05481","last_updated":"2021-12-29T10:38:00Z","snapshot_observed_at":"2026-07-06T10:22:25.341862Z","submitted_at":"2020-12-10T06:54:54Z","title":"Unified Streaming and Non-streaming Two-pass End-to-end Model for Speech Recognition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.05481","snapshot_observed_at":"2026-08-06T00:30:12.153813Z","title":"Unified streaming and non-streaming two-pass end-to-end model for speech recognition.arXiv preprint arXiv:2012.05481, 2020","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2608.01119","last_updated":"2026-08-02T09:27:51Z","snapshot_observed_at":"2026-08-06T23:25:36.518484Z","submitted_at":"2026-08-02T09:27:51Z","title":"JoyAI-Talker: Full-Duplex Speech Interactive Large Model Built for Empathetic Voice Agents","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T00:30:12.153813Z"},"links":{"cited_paper":"/paper/2012.05481","citing_paper":"/paper/2608.01119"},"observation_digest":"sha256:304d3324fd1e2da0732cd3b3564236074521f2bf7b59617fda814247b9417a2c","observation_id":"77d40865-6b3f-4ab8-9f6e-45ff83bf3fcc","resolution":{"observed_at":"2026-08-06T00:30:12.153813Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2012.05481/citation-record","integrity":"/paper/2012.05481/integrity","json":"/paper/2012.05481/citation-record.json","paper":"/paper/2012.05481"},"outbound":[],"paper":{"arxiv_id":"2012.05481","last_updated":"2021-12-29T10:38:00Z","latest_version":2,"primary_category":"cs.SD","snapshot_observed_at":"2026-07-06T10:22:25.341862Z","submitted_at":"2020-12-10T06:54:54Z","title":"Unified Streaming and Non-streaming Two-pass End-to-end Model for 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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2012.05481."}