{"as_of":"2026-08-15T12:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9ff228ccc325956d2f970c1eb544229aba3b6059422ca318fc92e62b44b6d06f","coverage":[{"denominator":34,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":34,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T21:09:40.434882Z","state":"measured"},{"denominator":35,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":35,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T16:30:09.970487Z","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":"2026-08-06T16:30:10.025612Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"cited_work":{"arxiv_id":"2501.05948","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.05948","snapshot_observed_at":"2026-08-06T16:30:10.025612Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","venue":"cs.CL","work_id":"6bb17433-22ea-4481-b433-db2a077a2407","year":2025},"citing_paper":{"arxiv_id":"2507.13563","last_updated":"2026-06-23T14:05:34Z","snapshot_observed_at":"2026-08-06T16:19:41.670843Z","submitted_at":"2025-07-17T22:41:40Z","title":"Balalaika: Data-Centric, Prosody-Aware Annotation Pipeline for Russian Speech","version":3},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-06T16:30:09.970487Z"},"links":{"cited_paper":"/paper/2501.05948","citing_paper":"/paper/2507.13563"},"observation_digest":"sha256:96f8bf29db502434b79993f27dc6f089c4d58d35332db51fe6c158879d464e46","observation_id":"9225bad9-0390-4fd7-beb8-36858f5dd93a","resolution":{"observed_at":"2026-08-06T16:30:10.030902Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2501.05948/citation-record","integrity":"/paper/2501.05948/integrity","json":"/paper/2501.05948/citation-record.json","paper":"/paper/2501.05948"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.21437/interspeech.2022-10864","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:40.654155Z","title":null,"venue":null,"work_id":"9d68e332-b504-4c08-a750-13ceb3620118","year":2022},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.258428Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:61927e023147d88aef6fbfb29f15f6a9d8b6616436b796c2420808acddb26d8a","observation_id":"7ebaf1d5-6850-4ac4-b818-617290258c60","resolution":{"observed_at":"2026-08-10T21:09:40.658424Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:41.469522Z","title":null,"venue":null,"work_id":"a32eb398-4f3c-49b2-9fd6-383a21fed97b","year":2024},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.263445Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:f02603b77407e3103ac81c812f06610578cb9f82394f85bfeeb0080c675f716d","observation_id":"44b54249-63a8-4a3b-b8c9-f0747632a69c","resolution":{"observed_at":"2026-08-10T21:09:41.474460Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:41.457019Z","title":null,"venue":null,"work_id":"b10b5c1c-7d9c-4fe8-b933-e1c7674fb928","year":2006},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.267931Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:af1d67c77c3cd556f7b7da287fd4034e2fdf76a462669bbcb716684b44f6cf9f","observation_id":"11c1c8ee-f895-4703-bcf3-f432c4b0d534","resolution":{"observed_at":"2026-08-10T21:09:41.461550Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:40.273305Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.273305Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:31908b41a91ec23ca87e9bcd4419206cc87ca4b62ae2bba42cd5d9fcf9721082","observation_id":"099332af-93d6-4a88-9885-03cf853c3ddf","resolution":{"observed_at":"2026-08-10T21:09:40.273305Z","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":"2026-08-10T21:09:40.277954Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.277954Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:742e930c0395a11e150406980867fec97453bf22b10ac9ebf4ff1e9f9a1459bc","observation_id":"a1e62b4d-2c6d-4a88-a21a-51650def6429","resolution":{"observed_at":"2026-08-10T21:09:40.277954Z","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":"10.18653/v1/2020.iwslt-1.33","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:40.622639Z","title":null,"venue":null,"work_id":"7841c28b-43c0-4e7f-a958-137e2c152f5d","year":2020},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.283239Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:8f275c9e16d0bee2d2eae2395d51ba600deba2fc90a5376b7c9836cde5a8cb28","observation_id":"94e164c0-6633-43d5-9cd1-c03c7b8f04cc","resolution":{"observed_at":"2026-08-10T21:09:40.627699Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:40.288678Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.288678Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:a590f41bf5b9cd05e9843f60c0b3a4e3089e86cb1ed1ff57fa041f1768eeddaf","observation_id":"df395ebe-2752-418c-8df1-e1483290f6aa","resolution":{"observed_at":"2026-08-10T21:09:40.288678Z","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":"2021.11574","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:41.301813Z","title":null,"venue":null,"work_id":"af6a5fa5-5304-4bce-8ffe-d131605c7da7","year":2021},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.301574Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:791ae5f10257cd37bafd3e94ecf0bae8c6ca0204bbdc0679de94e92f3dbf862f","observation_id":"4076630c-a8ef-4818-8056-3611fd612edf","resolution":{"observed_at":"2026-08-10T21:09:41.306580Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:41.442660Z","title":null,"venue":null,"work_id":"1e953e0d-4855-4acc-9ff4-f2a5ac1f7c4b","year":2021},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.307306Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:ac155a0e8264a280536bf9e37cebcdf97a7e7cbb3d52da42da4ea53155cb0ff8","observation_id":"957318b8-0b1a-4fd6-8ad4-fcb0246952d1","resolution":{"observed_at":"2026-08-10T21:09:41.447883Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:40.311816Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.311816Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:338509708791b66f7c6e64ca5c81926413a921a0558420fd9c96f8c86a7e1934","observation_id":"9adbb3ef-b0bc-4fdd-a3be-987c1186d9b9","resolution":{"observed_at":"2026-08-10T21:09:40.311816Z","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":"2026-08-10T21:09:41.430304Z","title":null,"venue":null,"work_id":"4611690a-4496-4a90-bb85-a69e045b7db4","year":2005},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.316919Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:ae55f3b5ea09aa1d35b879fa502e535756a8d251bb3bd9ae2d600e2bc2a8900c","observation_id":"6114ea10-2ea9-46dd-bb13-6bfc7afca59b","resolution":{"observed_at":"2026-08-10T21:09:41.434443Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:40.321942Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.321942Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:57c632cdbad716039895e7bfbb998a898c477bfd2238a6942981ab652208a3cb","observation_id":"7a932663-9e0b-4e52-9763-f63e9022cd60","resolution":{"observed_at":"2026-08-10T21:09:40.321942Z","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":"10.21437/interspeech.2020-1277","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:40.584640Z","title":null,"venue":null,"work_id":"8a732037-716f-4e7f-bb5e-194a7611c2dd","year":2020},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.327305Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:43463addb91a69ea4917b0480a1328c6dc66e85c00f91db71453681cae97ede5","observation_id":"0ca9c3e3-b89a-4321-afa6-468e0cd00448","resolution":{"observed_at":"2026-08-10T21:09:40.589572Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02943","last_updated":"2023-10-04T16:23:37Z","snapshot_observed_at":"2026-08-13T10:54:13.987933Z","submitted_at":"2023-10-04T16:23:37Z","title":"LibriSpeech-PC: Benchmark for Evaluation of Punctuation and Capitalization Capabilities of end-to-end ASR Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02943","snapshot_observed_at":"2026-08-10T21:09:40.332228Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.332228Z"},"links":{"cited_paper":"/paper/2310.02943","citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:1b896199d15c64b80d2b9cad4752623490fc1702bd8dd7995d7f29504f3956f5","observation_id":"61182af5-6434-466a-8a98-1da75a0b4920","resolution":{"observed_at":"2026-08-10T21:09:40.332228Z","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":"2026-08-10T21:09:40.337791Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.337791Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:17cb9fbdf2b36726dbb6756b448e3d842fa40ca553e323cb4a3960e90affd49b","observation_id":"c012c5b4-d9d1-46d5-8dbe-4213eab0348f","resolution":{"observed_at":"2026-08-10T21:09:40.337791Z","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":"2026-08-10T21:09:41.417951Z","title":null,"venue":null,"work_id":"635a6366-d3be-46dd-9e8a-00c13037b7d5","year":2023},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.342779Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:fac7f39535d694802cbaaea7ec267298e7a32c64e506ff57c19ccdae30477e2f","observation_id":"ec4ca5b4-87fd-4d7d-b254-3e0d48d2e7fc","resolution":{"observed_at":"2026-08-10T21:09:41.422645Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:40.347929Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.347929Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:acf3ddf13c25172da8101d6d00ba77a58ff774ea4d0c782763639e638b73fcb0","observation_id":"5150e9c7-80ad-4948-93bf-941f9e2c7d0a","resolution":{"observed_at":"2026-08-10T21:09:40.347929Z","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":"2026-08-10T21:09:41.405776Z","title":null,"venue":null,"work_id":"94374fa9-11fe-42f2-b08f-896836a08404","year":2022},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.352120Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:a13e127debb8a78ac128d6ed258f7f2afc26e3f0d181f24b08db32387baa03fc","observation_id":"7355e227-97bf-4569-bb28-561d7f18af7d","resolution":{"observed_at":"2026-08-10T21:09:41.409377Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.21437/interspeech.2017-1274","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:40.569191Z","title":null,"venue":null,"work_id":"f1ec9224-f29a-43e7-933f-2d1b931c55c8","year":2017},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.357114Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:92ea6d6298158cfdb0c81ca5f8c5ecc018baa57e8df59a531ad7f4a5805eeaaf","observation_id":"d722a6e2-0b02-48fe-86de-d79cb70df6d6","resolution":{"observed_at":"2026-08-10T21:09:40.574145Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:40.362216Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.362216Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:9b4180684942f3f8663649ca9db62835e67aedf3197559dbd7863f813843b64c","observation_id":"16cb0e26-0ab2-4935-958f-be129f572ff4","resolution":{"observed_at":"2026-08-10T21:09:40.362216Z","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":"2026-08-10T21:09:40.366745Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.366745Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:d0822b85765b49c9f6d5bd5648c837a970dc2b6a7d9d7906d07654e0f973ea50","observation_id":"23202a2a-94cc-4fa4-aa45-5302ce1aacf3","resolution":{"observed_at":"2026-08-10T21:09:40.366745Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.09841","last_updated":"2024-04-16T14:55:13Z","snapshot_observed_at":"2026-08-14T13:08:06.020991Z","submitted_at":"2024-04-15T14:48:43Z","title":"Anatomy of Industrial Scale Multilingual ASR","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.09841","snapshot_observed_at":"2026-08-10T21:09:40.371642Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.371642Z"},"links":{"cited_paper":"/paper/2404.09841","citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:ce6c5a0972bb543aba055b81f3c6267fedb4468b9db4d0449df970b18d0ac1c2","observation_id":"102151af-5362-4eb9-8830-5861184ade75","resolution":{"observed_at":"2026-08-10T21:09:40.371642Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1611.00068","last_updated":"2017-01-24T19:51:12Z","snapshot_observed_at":"2026-08-14T21:32:34.418760Z","submitted_at":"2016-10-31T22:42:02Z","title":"RNN Approaches to Text Normalization: A Challenge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.00068","snapshot_observed_at":"2026-08-10T21:09:40.376902Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.376902Z"},"links":{"cited_paper":"/paper/1611.00068","citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:0aee1cf2f67cb3076c9c280c93913b919a0f3301e822f8bd6de972b5560a542b","observation_id":"b0958115-1cde-4e3a-8aba-8411d1b3a7c2","resolution":{"observed_at":"2026-08-10T21:09:40.376902Z","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":"10.18653/v1/2020.nlpmc-1.8","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:40.555052Z","title":null,"venue":null,"work_id":"94393873-ba75-47bd-8163-6e938d9e43a6","year":2020},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.382809Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:0e5ee0a88df8699324f6b8a38175f9185ce0ff6dbe67835de0e5d3651b73593f","observation_id":"58018222-8bbc-42cc-9e88-76aca15c6291","resolution":{"observed_at":"2026-08-10T21:09:40.560085Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:40.387205Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.387205Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:2e1ce3b86eeb9bc3ecd13bc5b3b2613b26318716a2973dced359b0569764518f","observation_id":"145b44b3-d2f1-4fa9-833d-fd97125e094c","resolution":{"observed_at":"2026-08-10T21:09:40.387205Z","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":"10.18653/v1/d16-1225","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:40.499640Z","title":null,"venue":null,"work_id":"7f44aadd-9c17-4a31-ba69-4e36acdd7e8b","year":2016},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.392599Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:d7f30e0eb7119e092fadf26473bcecc640b2aa22899f3b809016c22c0df6852d","observation_id":"6385d5d7-3a3b-46a7-b427-b83182b2767d","resolution":{"observed_at":"2026-08-10T21:09:40.504050Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:40.398239Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.398239Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:05ea84d7c131df36dfb463460a390777fd2cb10da95bba6974f6ea8342165b6b","observation_id":"144ce3ff-7990-4ffd-850d-6953e9686a4f","resolution":{"observed_at":"2026-08-10T21:09:40.398239Z","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":"10.21437/interspeech.2015-240","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:40.485047Z","title":null,"venue":null,"work_id":"9509a784-74f9-455f-bd17-4d7569841b1c","year":2015},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.402174Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:ed77c6e5302ac9199e51c71f19cbecf4e63cc0c85aa1b8dd733a5b17fa600348","observation_id":"0ff8d280-761f-4c5c-a1ce-e4578a05c180","resolution":{"observed_at":"2026-08-10T21:09:40.490590Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:40.407073Z","title":"Ronny Huang, Mingqing Chen, and Rajiv Mathews","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.407073Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:652ae0f43d484b672cdba1da52b038247fdbad78d99d618639953f4f9df5862e","observation_id":"f01ea96d-31ed-48a9-9483-9ee14b0a4c5d","resolution":{"observed_at":"2026-08-10T21:09:40.407073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.05055","last_updated":"2021-05-17T16:55:21Z","snapshot_observed_at":"2026-08-10T18:44:22.723656Z","submitted_at":"2021-04-11T17:09:49Z","title":"NeMo Inverse Text Normalization: From Development To Production","version":2},"cited_work":{"arxiv_id":"2104.05055","doi":null,"metadata_source":"pith","pith_arxiv_id":"2104.05055","snapshot_observed_at":"2026-08-10T21:09:40.673165Z","title":"NeMo Inverse Text Normalization: From Development To Production","venue":"cs.CL","work_id":"8fe65acd-887a-4e9a-9f3a-18b755bfcd2c","year":2021},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.412709Z"},"links":{"cited_paper":"/paper/2104.05055","citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:b41c2b270f75db9a51380aa53c068d6d8cc3094df0962313e103d353dea359e7","observation_id":"2d9b9e1b-9759-45da-a5cc-a4bc0240f555","resolution":{"observed_at":"2026-08-10T21:09:40.680254Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:40.418843Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.418843Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:693e51ac6a000dd97110f57e837969143a80992c1e58f339af570270dece4840","observation_id":"97bbeefb-60b9-4713-8268-5c1df3221700","resolution":{"observed_at":"2026-08-10T21:09:40.418843Z","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":"10.21437/interspeech.2018-1096","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:40.467639Z","title":null,"venue":null,"work_id":"125f72e1-0b0e-4002-b7fd-755004cadf6f","year":2018},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.423890Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:16251058214c497a95ef0372882ae64017f73eda9c99564895f10906a5e45580","observation_id":"1212e7bf-5d13-4832-8ddb-c18a1a4df479","resolution":{"observed_at":"2026-08-10T21:09:40.473651Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:40.428820Z","title":"URL: \" 'urlintro :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.428820Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:c4941087440712cd6039c212003fcdaa2102c7e1b63d92abeac538d842464e51","observation_id":"855e843f-52ef-4193-848a-05e5f6dd5ce8","resolution":{"observed_at":"2026-08-10T21:09:40.428820Z","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":"2026-08-10T21:09:40.434882Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-10T21:09:40.434882Z"},"links":{"citing_paper":"/paper/2501.05948"},"observation_digest":"sha256:e3f799c4347c79d330fe63ac7e83b2d21ecca54cf8404d70b5ea0459afe8aa16","observation_id":"baaa35f2-674e-4480-9fd7-8a582f66d925","resolution":{"observed_at":"2026-08-10T21:09:40.434882Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2501.05948","last_updated":"2025-01-10T13:21:33Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-14T13:09:13.716043Z","submitted_at":"2025-01-10T13:21:33Z","title":"Universal-2-TF: Robust All-Neural Text Formatting for ASR"},"reference_resolution":{"displayed":34,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":24,"verified_exact":9,"verified_fuzzy":0},"total_outbound_references":34},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2501.05948."}