{"as_of":"2026-08-16T02:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5b655b37de777cd77dd5b0dfbf48d6b16095d85ec3373664a846e38be4d5340b","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T04:41:58.816407Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T03:50:54.046343Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2004.04092","last_updated":"2020-10-11T23:33:10Z","snapshot_observed_at":"2026-08-04T18:37:50.618230Z","submitted_at":"2020-04-05T06:20:18Z","title":"Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.04092","snapshot_observed_at":"2026-08-12T04:41:58.816407Z","title":"Optimus: Organizing sentences via pre-trained modeling of a latent space","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2412.01169","last_updated":"2025-03-21T07:14:34Z","snapshot_observed_at":"2026-08-15T17:18:53.958468Z","submitted_at":"2024-12-02T06:13:01Z","title":"OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T04:41:58.816407Z"},"links":{"cited_paper":"/paper/2004.04092","citing_paper":"/paper/2412.01169"},"observation_digest":"sha256:a4ac619bc2562b9e7690efa5e2805c8c95b63ef8ec8f81bd1065da75323a9958","observation_id":"2687f756-f306-4d73-94af-7032742ed0eb","resolution":{"observed_at":"2026-08-12T04:41:58.816407Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.04092","last_updated":"2020-10-11T23:33:10Z","snapshot_observed_at":"2026-08-04T18:37:50.618230Z","submitted_at":"2020-04-05T06:20:18Z","title":"Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space","version":4},"cited_work":{"arxiv_id":"2004.04092","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2004.04092","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Optimus: Organizing sentences via pre-trained modeling of a latent space.arXiv preprint arXiv:2004.04092","venue":null,"work_id":"03ce7cfb-17b0-4742-be6b-c4b98314f23e","year":2004},"citing_paper":{"arxiv_id":"2605.07748","last_updated":"2026-05-08T13:54:34Z","snapshot_observed_at":"2026-08-11T03:56:10.286870Z","submitted_at":"2026-05-08T13:54:34Z","title":"TextLDM: Language Modeling with Continuous Latent Diffusion","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-11T02:16:34.725872Z"},"links":{"cited_paper":"/paper/2004.04092","citing_paper":"/paper/2605.07748"},"observation_digest":"sha256:dd21e081cf7a4b2213854a25bfbf6d95a4f6eb1d06daade6ab25db3816307fcd","observation_id":"cde88fe8-7e2b-411c-a7bc-02f1da96eb85","resolution":{"observed_at":"2026-05-11T03:50:54.049894Z","resolver_source":"arxiv_id","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/2004.04092/citation-record","integrity":"/paper/2004.04092/integrity","json":"/paper/2004.04092/citation-record.json","paper":"/paper/2004.04092"},"outbound":[],"paper":{"arxiv_id":"2004.04092","last_updated":"2020-10-11T23:33:10Z","latest_version":4,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-04T18:37:50.618230Z","submitted_at":"2020-04-05T06:20:18Z","title":"Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space"},"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 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2004.04092."}