{"as_of":"2026-08-21T10:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d9cdea0d6177fefbc3b3dd382c53a86281baa5c75610c84f4782853d88a99d5f","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T13:36:26.078419Z","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":"2026-05-25T18:06:07.776254Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1805.03294","last_updated":"2018-05-08T21:27:04Z","snapshot_observed_at":"2026-08-17T04:32:03.760769Z","submitted_at":"2018-05-08T21:27:04Z","title":"Improved training of end-to-end attention models for speech recognition","version":1},"cited_work":{"arxiv_id":"1805.03294","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1805.03294","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Improved training of end-to-end attention models for speech recognition","venue":null,"work_id":"942e5862-1e2d-4c5b-96a8-3c4b30d253ed","year":2018},"citing_paper":{"arxiv_id":"1906.09426","last_updated":"2019-06-22T10:23:42Z","snapshot_observed_at":"2026-08-19T02:21:11.306871Z","submitted_at":"2019-06-22T10:23:42Z","title":"End-to-End ASR for Code-switched Hindi-English Speech","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-25T18:02:51.220425Z"},"links":{"cited_paper":"/paper/1805.03294","citing_paper":"/paper/1906.09426"},"observation_digest":"sha256:7f97ced7e274770b79c0b1f89e6018b0dc684fe68b49e55d8aa684ed4a3a95e4","observation_id":"d59b9b62-074e-43a4-9091-5b3905962562","resolution":{"observed_at":"2026-05-25T18:06:07.779842Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1805.03294","last_updated":"2018-05-08T21:27:04Z","snapshot_observed_at":"2026-08-17T04:32:03.760769Z","submitted_at":"2018-05-08T21:27:04Z","title":"Improved training of end-to-end attention models for speech recognition","version":1},"cited_work":{"arxiv_id":"1805.03294","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1805.03294","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Improved training of end-to-end attention models for speech recognition","venue":null,"work_id":"942e5862-1e2d-4c5b-96a8-3c4b30d253ed","year":2018},"citing_paper":{"arxiv_id":"1907.10726","last_updated":"2019-07-24T21:18:39Z","snapshot_observed_at":"2026-08-19T13:35:03.414933Z","submitted_at":"2019-07-24T21:18:39Z","title":"Cross-Attention End-to-End ASR for Two-Party Conversations","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-24T16:26:01.154655Z"},"links":{"cited_paper":"/paper/1805.03294","citing_paper":"/paper/1907.10726"},"observation_digest":"sha256:ccc6a3caaca1c5623218136a602c8be186a02b5ad59062a73f361a592c5082c7","observation_id":"106dcf1b-4172-44a4-b000-18e111519696","resolution":{"observed_at":"2026-05-24T16:26:15.856159Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1805.03294","last_updated":"2018-05-08T21:27:04Z","snapshot_observed_at":"2026-08-17T04:32:03.760769Z","submitted_at":"2018-05-08T21:27:04Z","title":"Improved training of end-to-end attention models for speech recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.03294","snapshot_observed_at":"2026-08-14T13:36:26.078419Z","title":"I RIE , R","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.04743","last_updated":"2019-08-13T17:03:24Z","snapshot_observed_at":"2026-08-21T03:29:32.190467Z","submitted_at":"2019-08-13T17:03:24Z","title":"IMS-Speech: A Speech to Text Tool","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T13:36:26.078419Z"},"links":{"cited_paper":"/paper/1805.03294","citing_paper":"/paper/1908.04743"},"observation_digest":"sha256:c24e3eb59d4454f67760db00722a467da7c8db1a0820529f67fca563cbf80c10","observation_id":"6c0d9ae5-2886-4d67-ae31-f95a027d22a4","resolution":{"observed_at":"2026-08-14T13:36:26.078419Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1805.03294","last_updated":"2018-05-08T21:27:04Z","snapshot_observed_at":"2026-08-17T04:32:03.760769Z","submitted_at":"2018-05-08T21:27:04Z","title":"Improved training of end-to-end attention models for speech recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.03294","snapshot_observed_at":"2026-08-14T13:01:10.242469Z","title":"Improved training of end-to-end attention models for speech recognition,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.07656","last_updated":"2019-12-01T03:30:37Z","snapshot_observed_at":"2026-08-15T17:47:51.175855Z","submitted_at":"2019-08-16T16:40:49Z","title":"Survey on Deep Neural Networks in Speech and Vision Systems","version":2},"reference_index":133,"source":"pdf_text","source_observed_at":"2026-08-14T13:01:10.242469Z"},"links":{"cited_paper":"/paper/1805.03294","citing_paper":"/paper/1908.07656"},"observation_digest":"sha256:9258bf0233db24bbda529ed114af2f4e838aee935ccffe860df3417f9e360b36","observation_id":"2e8fc9bb-f19f-4b15-9a50-510497bc4e36","resolution":{"observed_at":"2026-08-14T13:01:10.242469Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1805.03294","last_updated":"2018-05-08T21:27:04Z","snapshot_observed_at":"2026-08-17T04:32:03.760769Z","submitted_at":"2018-05-08T21:27:04Z","title":"Improved training of end-to-end attention models for speech recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.03294","snapshot_observed_at":"2026-08-06T15:22:59.735621Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.16020","last_updated":"2025-07-21T19:31:42Z","snapshot_observed_at":"2026-08-14T04:54:01.434550Z","submitted_at":"2025-07-21T19:31:42Z","title":"Micromobility Flow Prediction: A Bike Sharing Station-level Study via Multi-level Spatial-Temporal Attention Neural Network","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T15:22:59.735621Z"},"links":{"cited_paper":"/paper/1805.03294","citing_paper":"/paper/2507.16020"},"observation_digest":"sha256:b220fe39fd42188970d554330c08ab7f52be7c0c074b6e7e28a0eeb7b957b4ef","observation_id":"ba1b3eb5-9c22-4070-8a48-9edba2ccbff8","resolution":{"observed_at":"2026-08-06T15:22:59.735621Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1805.03294/citation-record","integrity":"/paper/1805.03294/integrity","json":"/paper/1805.03294/citation-record.json","paper":"/paper/1805.03294"},"outbound":[],"paper":{"arxiv_id":"1805.03294","last_updated":"2018-05-08T21:27:04Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-17T04:32:03.760769Z","submitted_at":"2018-05-08T21:27:04Z","title":"Improved training of end-to-end attention models 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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1805.03294."}