{"as_of":"2026-08-07T04:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:986930ea19f6a0c8d6514fd7c1e853b4a2262ff855f01704de9cbf67001a45df","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-23T16:36:02.895613Z","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":"2026-05-23T16:38:11.399235Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2005.04290","last_updated":"2020-05-08T21:04:36Z","snapshot_observed_at":"2026-07-06T09:18:53.374093Z","submitted_at":"2020-05-08T21:04:36Z","title":"Cross-Language Transfer Learning, Continuous Learning, and Domain Adaptation for End-to-End Automatic Speech Recognition","version":1},"cited_work":{"arxiv_id":"2005.04290","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2005.04290","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2005.04290 (2020)","venue":null,"work_id":"bd70a7ba-0e2b-400c-95c4-fd483d259a0e","year":2005},"citing_paper":{"arxiv_id":"2412.04497","last_updated":"2026-04-17T14:43:11Z","snapshot_observed_at":"2026-08-03T01:36:22.644152Z","submitted_at":"2024-11-30T00:10:56Z","title":"Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research","version":5},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-23T16:36:02.895613Z"},"links":{"cited_paper":"/paper/2005.04290","citing_paper":"/paper/2412.04497"},"observation_digest":"sha256:2e284f45d51505b3bc3ec08587b24e94e515d6453026e2d8ce6e1b5a4fa163f8","observation_id":"57faec51-d95a-4b72-bea0-6e15f23715d7","resolution":{"observed_at":"2026-05-23T16:38:11.402616Z","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":"2005.04290","last_updated":"2020-05-08T21:04:36Z","snapshot_observed_at":"2026-07-06T09:18:53.374093Z","submitted_at":"2020-05-08T21:04:36Z","title":"Cross-Language Transfer Learning, Continuous Learning, and Domain Adaptation for End-to-End Automatic Speech Recognition","version":1},"cited_work":{"arxiv_id":"2005.04290","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2005.04290","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2005.04290 (2020)","venue":null,"work_id":"bd70a7ba-0e2b-400c-95c4-fd483d259a0e","year":2005},"citing_paper":{"arxiv_id":"2604.06487","last_updated":"2026-04-07T21:41:16Z","snapshot_observed_at":"2026-08-01T19:23:38.360811Z","submitted_at":"2026-04-07T21:41:16Z","title":"Closing the Speech-Text Gap with Limited Audio for Effective Domain Adaptation in LLM-Based ASR","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T18:41:31.431567Z"},"links":{"cited_paper":"/paper/2005.04290","citing_paper":"/paper/2604.06487"},"observation_digest":"sha256:9343c20ebb7b78b223727a7a7c777bd5720b017597c5313240aa5304be8134a4","observation_id":"44fc9609-299b-4a01-9ac7-4be24844fe16","resolution":{"observed_at":"2026-05-11T00:05:52.078130Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2005.04290/citation-record","integrity":"/paper/2005.04290/integrity","json":"/paper/2005.04290/citation-record.json","paper":"/paper/2005.04290"},"outbound":[],"paper":{"arxiv_id":"2005.04290","last_updated":"2020-05-08T21:04:36Z","latest_version":1,"primary_category":"eess.AS","snapshot_observed_at":"2026-07-06T09:18:53.374093Z","submitted_at":"2020-05-08T21:04:36Z","title":"Cross-Language Transfer Learning, Continuous Learning, and Domain Adaptation for End-to-End 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":"2026-08-06T06:34:29.942622+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 2 inbound Pith citation observations for arXiv:2005.04290."}