{"as_of":"2026-08-13T14:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5e93ef1d9d57a3d291149964e4db653d2f033f164a275d75e33924b1263766c8","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":"2026-08-13T06:32:02.005865+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":"2026-08-06T21:19:31.740390Z","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":"2026-07-04T07:39:39.265819Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.11440","last_updated":"2024-08-21T08:51:00Z","snapshot_observed_at":"2026-08-12T23:00:08.628535Z","submitted_at":"2024-08-21T08:51:00Z","title":"LAHAJA: A Robust Multi-accent Benchmark for Evaluating Hindi ASR Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.11440","snapshot_observed_at":"2026-08-06T21:19:31.740390Z","title":"LAHAJA: A robust multi-accent benchmark for evaluating hindi ASR systems,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00534","last_updated":"2025-07-01T07:53:39Z","snapshot_observed_at":"2026-08-10T05:00:59.802389Z","submitted_at":"2025-07-01T07:53:39Z","title":"NIRANTAR: Continual Learning with New Languages and Domains on Real-world Speech Data","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T21:19:31.740390Z"},"links":{"cited_paper":"/paper/2408.11440","citing_paper":"/paper/2507.00534"},"observation_digest":"sha256:2216cea69bdadf2dfc746a1a0f89ad23562ffd730a1b1d886d2a85b2e190957b","observation_id":"0f00a550-0de4-493b-b82a-2b4902142ced","resolution":{"observed_at":"2026-08-06T21:19:31.740390Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.11440","last_updated":"2024-08-21T08:51:00Z","snapshot_observed_at":"2026-08-12T23:00:08.628535Z","submitted_at":"2024-08-21T08:51:00Z","title":"LAHAJA: A Robust Multi-accent Benchmark for Evaluating Hindi ASR Systems","version":1},"cited_work":{"arxiv_id":"2408.11440","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.11440","snapshot_observed_at":"2026-07-04T07:39:39.265819Z","title":"Lahaja: A robust multi-accent benchmark for evaluating hindi asr systems,","venue":null,"work_id":"78c84d93-6e2a-4f0c-9ba6-27b74142338d","year":2024},"citing_paper":{"arxiv_id":"2606.09345","last_updated":"2026-06-08T11:12:28Z","snapshot_observed_at":"2026-08-02T23:20:23.226332Z","submitted_at":"2026-06-08T11:12:28Z","title":"A study on the impact of region specific data on the performance of Indic ASR","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-27T15:06:19.198758Z"},"links":{"cited_paper":"/paper/2408.11440","citing_paper":"/paper/2606.09345"},"observation_digest":"sha256:554fb99b521380ea2ebecdbf355a8d70a0e3e68512132d67b93e52d358c2fce0","observation_id":"c29acb22-befc-4a2b-ac6c-dfa141b02878","resolution":{"observed_at":"2026-07-03T03:37:35.604469Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.11440","last_updated":"2024-08-21T08:51:00Z","snapshot_observed_at":"2026-08-12T23:00:08.628535Z","submitted_at":"2024-08-21T08:51:00Z","title":"LAHAJA: A Robust Multi-accent Benchmark for Evaluating Hindi ASR Systems","version":1},"cited_work":{"arxiv_id":"2408.11440","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.11440","snapshot_observed_at":"2026-07-04T07:39:39.265819Z","title":"Lahaja: A robust multi-accent benchmark for evaluating hindi asr systems,","venue":null,"work_id":"78c84d93-6e2a-4f0c-9ba6-27b74142338d","year":2024},"citing_paper":{"arxiv_id":"2606.21408","last_updated":"2026-06-19T13:20:16Z","snapshot_observed_at":"2026-08-05T01:38:43.388624Z","submitted_at":"2026-06-19T13:20:16Z","title":"Vaani Benchmark V1.0: An Inclusive Multimodal Benchmark Dataset for Hindi","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-26T13:07:37.187581Z"},"links":{"cited_paper":"/paper/2408.11440","citing_paper":"/paper/2606.21408"},"observation_digest":"sha256:b3ea5759be07f42ddbaebb870787941f21af626c853143c680a2745d98d65d29","observation_id":"346d81ab-4f2f-4f35-a297-9b305bd280a1","resolution":{"observed_at":"2026-07-04T07:39:39.268103Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2408.11440/citation-record","integrity":"/paper/2408.11440/integrity","json":"/paper/2408.11440/citation-record.json","paper":"/paper/2408.11440"},"outbound":[],"paper":{"arxiv_id":"2408.11440","last_updated":"2024-08-21T08:51:00Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-12T23:00:08.628535Z","submitted_at":"2024-08-21T08:51:00Z","title":"LAHAJA: A Robust Multi-accent Benchmark for Evaluating Hindi ASR Systems"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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:2408.11440."}