{"as_of":"2026-08-09T18:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:23cecf5a0d7d7bad2aa461960fcb36921ad734a43ae8fb7738bba3b36d57a288","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T12:11:12.166850Z","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":"2026-08-07T12:11:14.289789Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.19581","last_updated":"2024-11-29T09:54:08Z","snapshot_observed_at":"2026-08-07T00:34:19.488084Z","submitted_at":"2024-11-29T09:54:08Z","title":"In-Context Learning with Noisy Labels","version":1},"cited_work":{"arxiv_id":"2411.19581","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.19581","snapshot_observed_at":"2026-08-07T12:11:14.289789Z","title":"In-Context Learning with Noisy Labels","venue":"cs.CL","work_id":"7ca9e5e3-f512-41d4-9229-3beff42022c2","year":2024},"citing_paper":{"arxiv_id":"2506.00418","last_updated":"2025-06-21T07:56:37Z","snapshot_observed_at":"2026-08-07T12:03:34.633469Z","submitted_at":"2025-05-31T06:44:48Z","title":"Dual Debiasing for Noisy In-Context Learning for Text Generation","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T12:11:12.166850Z"},"links":{"cited_paper":"/paper/2411.19581","citing_paper":"/paper/2506.00418"},"observation_digest":"sha256:76a6fda4e5c0ebf2798149613f87e38590ee0b423a23685e3afd8a77ec4cc194","observation_id":"8f0e54d2-ee00-4a96-928d-a81c9aea9291","resolution":{"observed_at":"2026-08-07T12:11:14.395740Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.19581/citation-record","integrity":"/paper/2411.19581/integrity","json":"/paper/2411.19581/citation-record.json","paper":"/paper/2411.19581"},"outbound":[],"paper":{"arxiv_id":"2411.19581","last_updated":"2024-11-29T09:54:08Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T00:34:19.488084Z","submitted_at":"2024-11-29T09:54:08Z","title":"In-Context Learning with Noisy Labels"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2411.19581."}