{"as_of":"2026-08-08T17:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4b8208bccd8f66c134d644294ddcc852439f70ef8a151c51116a44e07b2fd4b8","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":"2026-08-07T15:23:02.217499Z","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":"2026-08-07T15:23:06.781613Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.16746","last_updated":"2025-03-20T23:15:12Z","snapshot_observed_at":"2026-08-07T16:47:51.453438Z","submitted_at":"2025-03-20T23:15:12Z","title":"Ordered Topological Deep Learning: a Network Modeling Case Study","version":1},"cited_work":{"arxiv_id":"2503.16746","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.16746","snapshot_observed_at":"2026-08-07T15:23:06.781613Z","title":"Ordered Topological Deep Learning: a Network Modeling Case Study","venue":"cs.LG","work_id":"98280ee3-6a27-498a-b4ae-851d1596e71d","year":2025},"citing_paper":{"arxiv_id":"2505.15405","last_updated":"2026-06-03T19:53:11Z","snapshot_observed_at":"2026-08-07T15:16:07.374027Z","submitted_at":"2025-05-21T11:47:40Z","title":"HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations","version":3},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T15:23:02.217499Z"},"links":{"cited_paper":"/paper/2503.16746","citing_paper":"/paper/2505.15405"},"observation_digest":"sha256:092a2a3e14d5a7a3fc7ac215c3773c4fe603c28febcd29be2bb7118ba18ae62a","observation_id":"a5ec754c-fb72-479c-9b8d-89d4c84911b9","resolution":{"observed_at":"2026-08-07T15:23:06.813585Z","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/2503.16746/citation-record","integrity":"/paper/2503.16746/integrity","json":"/paper/2503.16746/citation-record.json","paper":"/paper/2503.16746"},"outbound":[],"paper":{"arxiv_id":"2503.16746","last_updated":"2025-03-20T23:15:12Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T16:47:51.453438Z","submitted_at":"2025-03-20T23:15:12Z","title":"Ordered Topological Deep Learning: a Network Modeling Case Study"},"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:2503.16746."}