{"as_of":"2026-08-15T08:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:70d161f165a71c212e0edaadb9d8435402f9c8298c55c6682c7ac608a4d8ecd1","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"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":"2026-08-10T19:06:00.124312Z","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":"2026-08-10T19:06:00.356221Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2202.01157","last_updated":"2022-08-23T16:36:04Z","snapshot_observed_at":"2026-08-15T06:04:45.169329Z","submitted_at":"2022-02-02T17:32:59Z","title":"Error Correction in ASR using Sequence-to-Sequence Models","version":2},"cited_work":{"arxiv_id":"2202.01157","doi":null,"metadata_source":"pith","pith_arxiv_id":"2202.01157","snapshot_observed_at":"2026-08-10T19:06:00.356221Z","title":"Error Correction in ASR using Sequence-to-Sequence Models","venue":"cs.CL","work_id":"a8d211a1-6b16-47e5-a85e-b08235e04ebf","year":2022},"citing_paper":{"arxiv_id":"2501.10734","last_updated":"2025-01-18T11:53:22Z","snapshot_observed_at":"2026-08-12T11:20:02.697287Z","submitted_at":"2025-01-18T11:53:22Z","title":"GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T19:06:00.124312Z"},"links":{"cited_paper":"/paper/2202.01157","citing_paper":"/paper/2501.10734"},"observation_digest":"sha256:eb9c43b8df493248762569d3469801d6325b18f2af275cb1426e8a06a17be5be","observation_id":"c759d999-62ac-45fd-8d85-c3cc39705293","resolution":{"observed_at":"2026-08-10T19:06:00.364179Z","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/2202.01157/citation-record","integrity":"/paper/2202.01157/integrity","json":"/paper/2202.01157/citation-record.json","paper":"/paper/2202.01157"},"outbound":[],"paper":{"arxiv_id":"2202.01157","last_updated":"2022-08-23T16:36:04Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-15T06:04:45.169329Z","submitted_at":"2022-02-02T17:32:59Z","title":"Error Correction in ASR using Sequence-to-Sequence Models"},"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":"2026-08-15T06:32:42.880941+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 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2202.01157."}