{"as_of":"2026-08-19T23:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5616b86af08649e22127165b0ec645aafbbc7baa756a61c032038f5d111988ca","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":"2026-08-19T06:32:44.657259+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":"2026-08-09T20:51:50.083012Z","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":"2026-08-09T20:51:50.130788Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1703.10931","last_updated":"2017-07-16T02:28:14Z","snapshot_observed_at":"2026-08-16T03:50:16.542483Z","submitted_at":"2017-03-31T15:05:45Z","title":"Sentence Simplification with Deep Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"1703.10931","doi":null,"metadata_source":"pith","pith_arxiv_id":"1703.10931","snapshot_observed_at":"2026-08-09T20:51:50.130788Z","title":"Sentence Simplification with Deep Reinforcement Learning","venue":"cs.CL","work_id":"6aae4abb-cb7c-4474-ace4-dce9f2fc6a5b","year":2017},"citing_paper":{"arxiv_id":"2501.19287","last_updated":"2025-01-31T16:48:38Z","snapshot_observed_at":"2026-08-17T18:19:11.023020Z","submitted_at":"2025-01-31T16:48:38Z","title":"Differentially Private In-context Learning via Sampling Few-shot Mixed with Zero-shot Outputs","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-09T20:51:50.083012Z"},"links":{"cited_paper":"/paper/1703.10931","citing_paper":"/paper/2501.19287"},"observation_digest":"sha256:73519e9dc01f684c05b4d0461b5821349b419eedf742637f73e098aeff3f13ec","observation_id":"66448881-1e02-4b6b-a7c9-17b2f172b21c","resolution":{"observed_at":"2026-08-09T20:51:50.136676Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1703.10931/citation-record","integrity":"/paper/1703.10931/integrity","json":"/paper/1703.10931/citation-record.json","paper":"/paper/1703.10931"},"outbound":[],"paper":{"arxiv_id":"1703.10931","last_updated":"2017-07-16T02:28:14Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T03:50:16.542483Z","submitted_at":"2017-03-31T15:05:45Z","title":"Sentence Simplification with Deep Reinforcement Learning"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1703.10931."}