{"as_of":"2026-08-04T06:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e2110a1e80623bb69207345a100d159a446512d0b2a738ef86675865523f5466","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":"2026-08-04T06:34:03.388597+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":"2026-08-01T04:48:12.543806Z","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":"2026-05-20T06:38:05.725724Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2604.09258","last_updated":"2026-05-27T08:05:02Z","snapshot_observed_at":"2026-07-12T23:23:17.075790Z","submitted_at":"2026-04-10T12:17:18Z","title":"Nexus: Same Pretraining Loss, Better Downstream Generalization via Common Minima","version":2},"cited_work":{"arxiv_id":"2604.09258","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.09258","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Nexus: Same Pretraining Loss, Better Downstream Generalization via Common Minima","venue":"cs.LG","work_id":"9c73d345-de8f-46c2-9647-ab1664386667","year":2026},"citing_paper":{"arxiv_id":"2605.20134","last_updated":"2026-05-19T17:18:32Z","snapshot_observed_at":"2026-07-06T23:30:44.092395Z","submitted_at":"2026-05-19T17:18:32Z","title":"TrajTok: Adaptive Spatial Tokenization for Trajectory Representation Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:20.078866Z"},"links":{"cited_paper":"/paper/2604.09258","citing_paper":"/paper/2605.20134"},"observation_digest":"sha256:3fbedbf065c2367aef5552c2fd9164a43218335ecf6bca6d8b16b1ae67b6542b","observation_id":"9fadbb3e-7830-4848-9d4f-d928fcc9f122","resolution":{"observed_at":"2026-05-20T06:38:05.727120Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2604.09258","last_updated":"2026-05-27T08:05:02Z","snapshot_observed_at":"2026-07-12T23:23:17.075790Z","submitted_at":"2026-04-10T12:17:18Z","title":"Nexus: Same Pretraining Loss, Better Downstream Generalization via Common Minima","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.09258","snapshot_observed_at":"2026-08-01T04:48:12.543806Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22444","last_updated":"2026-07-24T16:06:38Z","snapshot_observed_at":"2026-08-03T10:40:26.358263Z","submitted_at":"2026-07-24T16:06:38Z","title":"Hyperball May Not Be a Free Lunch","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-01T04:48:12.543806Z"},"links":{"cited_paper":"/paper/2604.09258","citing_paper":"/paper/2607.22444"},"observation_digest":"sha256:9be7bdf4bf7a3546cf2eb630775d4d29dbc74f6d0ea021838e90ffcb6b0ce7e4","observation_id":"1cc40edc-489b-4304-823d-386f82cf274b","resolution":{"observed_at":"2026-08-01T04:48:12.543806Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2604.09258/citation-record","integrity":"/paper/2604.09258/integrity","json":"/paper/2604.09258/citation-record.json","paper":"/paper/2604.09258"},"outbound":[],"paper":{"arxiv_id":"2604.09258","last_updated":"2026-05-27T08:05:02Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-12T23:23:17.075790Z","submitted_at":"2026-04-10T12:17:18Z","title":"Nexus: Same Pretraining Loss, Better Downstream Generalization via Common Minima"},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2604.09258."}