{"as_of":"2026-08-12T07:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2c57e96db5aedcaaa70044dbe937f78ebff6be63e084ebd1cdc001770e388288","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":"2026-08-12T06:34:41.77262+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":"2026-08-10T21:48:53.026603Z","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":"2026-08-10T21:48:53.538004Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.12463","last_updated":"2023-05-21T14:03:49Z","snapshot_observed_at":"2026-08-10T18:57:59.279272Z","submitted_at":"2023-05-21T14:03:49Z","title":"Teaching the Pre-trained Model to Generate Simple Texts for Text Simplification","version":1},"cited_work":{"arxiv_id":"2305.12463","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.12463","snapshot_observed_at":"2026-08-10T21:48:53.538004Z","title":"Teaching the Pre-trained Model to Generate Simple Texts for Text Simplification","venue":"cs.CL","work_id":"530e1c9e-f688-4b11-8ca2-d47f01e576c1","year":2023},"citing_paper":{"arxiv_id":"2501.03857","last_updated":"2025-01-07T15:14:37Z","snapshot_observed_at":"2026-08-10T21:43:32.726963Z","submitted_at":"2025-01-07T15:14:37Z","title":"Progressive Document-level Text Simplification via Large Language Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T21:48:53.026603Z"},"links":{"cited_paper":"/paper/2305.12463","citing_paper":"/paper/2501.03857"},"observation_digest":"sha256:710cd52e2056f61b34cf5e506f682183889c87c6bf699097e78a65c3ac19e998","observation_id":"dd13f65c-d270-425c-919b-9780307a0ca3","resolution":{"observed_at":"2026-08-10T21:48:53.543324Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2305.12463/citation-record","integrity":"/paper/2305.12463/integrity","json":"/paper/2305.12463/citation-record.json","paper":"/paper/2305.12463"},"outbound":[],"paper":{"arxiv_id":"2305.12463","last_updated":"2023-05-21T14:03:49Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-10T18:57:59.279272Z","submitted_at":"2023-05-21T14:03:49Z","title":"Teaching the Pre-trained Model to Generate Simple Texts for Text Simplification"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2305.12463."}