{"as_of":"2026-08-24T02:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b586e1a42947f129f0f6e44e8c721f21b7673a32383491669ff49802437633f1","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":"2026-08-23T06:30:58.430688+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":"2026-08-10T20:52:51.383915Z","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":"2026-08-10T20:52:52.014389Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.05036","last_updated":"2024-08-21T10:22:09Z","snapshot_observed_at":"2026-08-18T16:03:46.590469Z","submitted_at":"2024-06-07T15:58:12Z","title":"TimeSieve: Extracting Temporal Dynamics through Information Bottlenecks","version":3},"cited_work":{"arxiv_id":"2406.05036","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.05036","snapshot_observed_at":"2026-08-10T20:52:52.014389Z","title":"TimeSieve: Extracting Temporal Dynamics through Information Bottlenecks","venue":"cs.LG","work_id":"728b0195-1605-4643-81e2-b7668974ba98","year":2024},"citing_paper":{"arxiv_id":"2501.06907","last_updated":"2025-01-12T19:27:51Z","snapshot_observed_at":"2026-08-17T08:59:08.530241Z","submitted_at":"2025-01-12T19:27:51Z","title":"Deep Learning and Foundation Models for Weather Prediction: A Survey","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-10T20:52:51.383915Z"},"links":{"cited_paper":"/paper/2406.05036","citing_paper":"/paper/2501.06907"},"observation_digest":"sha256:76b2235ca6d949cbcd8647b2b47df46bac858f9a692a5d438bd7501313532139","observation_id":"61de62ad-238a-4db2-b7c0-7068f2c289c5","resolution":{"observed_at":"2026-08-10T20:52:52.019983Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.05036/citation-record","integrity":"/paper/2406.05036/integrity","json":"/paper/2406.05036/citation-record.json","paper":"/paper/2406.05036"},"outbound":[],"paper":{"arxiv_id":"2406.05036","last_updated":"2024-08-21T10:22:09Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T16:03:46.590469Z","submitted_at":"2024-06-07T15:58:12Z","title":"TimeSieve: Extracting Temporal Dynamics through Information Bottlenecks"},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2406.05036."}