{"as_of":"2026-08-13T00:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bd45635a774c36e46fa1c4dc91fe5bed75777e9101099c3cbd95f4dfc8dd3ffc","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T16:39:03.642101Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T12:09:13.131940Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2005.03191","last_updated":"2020-05-16T00:49:21Z","snapshot_observed_at":"2026-08-12T21:05:45.294996Z","submitted_at":"2020-05-07T01:03:18Z","title":"ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.03191","snapshot_observed_at":"2026-08-12T16:39:03.642101Z","title":"arXiv:2005.03191","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.13325","last_updated":"2024-11-20T13:47:41Z","snapshot_observed_at":"2026-08-12T18:53:26.284001Z","submitted_at":"2024-11-20T13:47:41Z","title":"TPCNet: Representation learning for HI mapping","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-12T16:39:03.642101Z"},"links":{"cited_paper":"/paper/2005.03191","citing_paper":"/paper/2411.13325"},"observation_digest":"sha256:68ad6cc38e4bdce6f40bbb39478e1dff38d4d987e60612366e32c2d3372422f8","observation_id":"343f01e8-c800-4431-b568-d25b3f9e3a0c","resolution":{"observed_at":"2026-08-12T16:39:03.642101Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.03191","last_updated":"2020-05-16T00:49:21Z","snapshot_observed_at":"2026-08-12T21:05:45.294996Z","submitted_at":"2020-05-07T01:03:18Z","title":"ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.03191","snapshot_observed_at":"2026-08-10T16:26:51.216685Z","title":"Contextnet: Improving convolutional neural networks for automatic speech recognition with global context","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2501.13230","last_updated":"2025-04-09T19:05:31Z","snapshot_observed_at":"2026-08-12T23:49:41.096115Z","submitted_at":"2025-01-22T21:30:49Z","title":"Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions","version":2},"reference_index":1994,"source":"pdf_text","source_observed_at":"2026-08-10T16:26:51.216685Z"},"links":{"cited_paper":"/paper/2005.03191","citing_paper":"/paper/2501.13230"},"observation_digest":"sha256:6bafdba6a6339046141e7aa271fd86f96cbc4da90d0cbcc82f0c822215c3c058","observation_id":"9423b4d5-1e81-40dc-b6b1-5435789f8ca4","resolution":{"observed_at":"2026-08-10T16:26:51.216685Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.03191","last_updated":"2020-05-16T00:49:21Z","snapshot_observed_at":"2026-08-12T21:05:45.294996Z","submitted_at":"2020-05-07T01:03:18Z","title":"ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context","version":3},"cited_work":{"arxiv_id":"2005.03191","doi":null,"metadata_source":"pith","pith_arxiv_id":"2005.03191","snapshot_observed_at":"2026-08-06T12:09:13.131940Z","title":"ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context","venue":"eess.AS","work_id":"fa259e90-14ef-4eed-adb6-9d5f2cebeca5","year":2020},"citing_paper":{"arxiv_id":"2507.22047","last_updated":"2025-07-29T17:50:59Z","snapshot_observed_at":"2026-08-06T12:09:11.167730Z","submitted_at":"2025-07-29T17:50:59Z","title":"The Interspeech 2025 Speech Accessibility Project Challenge","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-06T12:09:13.034354Z"},"links":{"cited_paper":"/paper/2005.03191","citing_paper":"/paper/2507.22047"},"observation_digest":"sha256:d58a4f208acd4a7b8c5ecdbbd0d7b0e936ac2fd8601f89e13eb7c829f6710c53","observation_id":"f0017b8a-b4d2-46de-ba37-83ae36bbc782","resolution":{"observed_at":"2026-08-06T12:09:13.207358Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2005.03191/citation-record","integrity":"/paper/2005.03191/integrity","json":"/paper/2005.03191/citation-record.json","paper":"/paper/2005.03191"},"outbound":[],"paper":{"arxiv_id":"2005.03191","last_updated":"2020-05-16T00:49:21Z","latest_version":3,"primary_category":"eess.AS","snapshot_observed_at":"2026-08-12T21:05:45.294996Z","submitted_at":"2020-05-07T01:03:18Z","title":"ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2005.03191."}