{"as_of":"2026-08-08T09:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f1c37658daf25d5a1dd8010a8bb7a4d712045ff37be829b7e3f92d13c3bbc960","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T10:50:50.197955Z","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":"2026-08-07T10:50:50.234625Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.10703","last_updated":"2023-05-18T04:30:09Z","snapshot_observed_at":"2026-07-06T15:29:01.076710Z","submitted_at":"2023-05-18T04:30:09Z","title":"ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval","version":1},"cited_work":{"arxiv_id":"2305.10703","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.10703","snapshot_observed_at":"2026-08-07T10:50:50.234625Z","title":"ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval","venue":"cs.CL","work_id":"41429e62-95d6-4237-8bc8-e68fb03ed68a","year":2023},"citing_paper":{"arxiv_id":"2506.04172","last_updated":"2025-06-04T17:15:19Z","snapshot_observed_at":"2026-08-07T10:44:14.455669Z","submitted_at":"2025-06-04T17:15:19Z","title":"Does Prompt Design Impact Quality of Data Imputation by LLMs?","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T10:50:50.197955Z"},"links":{"cited_paper":"/paper/2305.10703","citing_paper":"/paper/2506.04172"},"observation_digest":"sha256:e2d35b613b093b87d88f4c342fdc6404772b1f9f9b27c19cd4721e68e84e85a2","observation_id":"3cec156f-e529-41ae-98f2-827691a458ce","resolution":{"observed_at":"2026-08-07T10:50:50.345359Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2305.10703/citation-record","integrity":"/paper/2305.10703/integrity","json":"/paper/2305.10703/citation-record.json","paper":"/paper/2305.10703"},"outbound":[],"paper":{"arxiv_id":"2305.10703","last_updated":"2023-05-18T04:30:09Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T15:29:01.076710Z","submitted_at":"2023-05-18T04:30:09Z","title":"ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2305.10703."}