{"as_of":"2026-08-18T23:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3a361c3855e1d415bb77f4c8bdd9a4965e0e75ee8e48904678f825584506488d","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":"2026-08-18T06:34:40.430872+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":"2026-08-05T13:16:50.687792Z","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":"2026-08-05T13:16:51.541421Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2101.11981","last_updated":"2021-01-28T13:17:46Z","snapshot_observed_at":"2026-08-16T18:49:22.684006Z","submitted_at":"2021-01-28T13:17:46Z","title":"Embedding Symbolic Temporal Knowledge into Deep Sequential Models","version":1},"cited_work":{"arxiv_id":"2101.11981","doi":null,"metadata_source":"pith","pith_arxiv_id":"2101.11981","snapshot_observed_at":"2026-08-05T13:16:51.541421Z","title":"Embedding Symbolic Temporal Knowledge into Deep Sequential Models","venue":"cs.AI","work_id":"b03dbbbc-6603-4f37-a950-008b595666f2","year":2021},"citing_paper":{"arxiv_id":"2509.00834","last_updated":"2026-05-29T15:13:57Z","snapshot_observed_at":"2026-08-17T00:24:44.897159Z","submitted_at":"2025-08-31T13:07:17Z","title":"Neuro-Symbolic Predictive Process Monitoring","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T13:16:50.687792Z"},"links":{"cited_paper":"/paper/2101.11981","citing_paper":"/paper/2509.00834"},"observation_digest":"sha256:d6c5e0fc37ccbfd4c7449f2ff9f5af147b8eb62e8f97b2d43b88c7391af94d91","observation_id":"5e968107-3e08-4804-a87f-9534f9d750eb","resolution":{"observed_at":"2026-08-05T13:16:51.570180Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2101.11981/citation-record","integrity":"/paper/2101.11981/integrity","json":"/paper/2101.11981/citation-record.json","paper":"/paper/2101.11981"},"outbound":[],"paper":{"arxiv_id":"2101.11981","last_updated":"2021-01-28T13:17:46Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-16T18:49:22.684006Z","submitted_at":"2021-01-28T13:17:46Z","title":"Embedding Symbolic Temporal Knowledge into Deep Sequential Models"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2101.11981."}