{"as_of":"2026-08-15T18:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6cdd9f093be72438e1fe09cba0a460246f5cd7b7f68ea65e9336b309cdd965ed","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":"2026-08-12T00:39:40.682113Z","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":"2026-07-03T04:07:37.202845Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2301.01772","last_updated":"2023-01-04T14:08:21Z","snapshot_observed_at":"2026-08-13T13:09:51.054559Z","submitted_at":"2023-01-04T14:08:21Z","title":"Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting Problem","version":1},"cited_work":{"arxiv_id":"2301.01772","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2301.01772","snapshot_observed_at":"2026-07-03T04:07:37.202845Z","title":"arXiv preprint arXiv:2301.01772 , year=","venue":null,"work_id":"7621247e-829e-4b39-a823-98f6b571a41c","year":null},"citing_paper":{"arxiv_id":"2606.10592","last_updated":"2026-06-09T08:56:21Z","snapshot_observed_at":"2026-08-14T11:12:07.560449Z","submitted_at":"2026-06-09T08:56:21Z","title":"Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-06-27T14:07:11.942435Z"},"links":{"cited_paper":"/paper/2301.01772","citing_paper":"/paper/2606.10592"},"observation_digest":"sha256:073e015625509b5228e12d5811360641e532814144b30f398477e2caf052cae8","observation_id":"ef4a7882-a987-4145-af26-5b56bd0c686b","resolution":{"observed_at":"2026-07-03T04:07:37.204517Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2301.01772","last_updated":"2023-01-04T14:08:21Z","snapshot_observed_at":"2026-08-13T13:09:51.054559Z","submitted_at":"2023-01-04T14:08:21Z","title":"Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting Problem","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.01772","snapshot_observed_at":"2026-08-12T00:39:40.682113Z","title":"arXiv preprint arXiv:2301.01772 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08010","last_updated":"2026-08-08T08:41:33Z","snapshot_observed_at":"2026-08-14T23:53:56.884408Z","submitted_at":"2026-08-08T08:41:33Z","title":"Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time Series Foundation Models","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-08-12T00:39:40.682113Z"},"links":{"cited_paper":"/paper/2301.01772","citing_paper":"/paper/2608.08010"},"observation_digest":"sha256:1fcbd9dc1112d4ef0d1a96c330b6a6b495ba532cf13686b1a3959dff367fbd05","observation_id":"c09443d2-32f3-4fa4-b4d6-c78e779d1e69","resolution":{"observed_at":"2026-08-12T00:39:40.682113Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2301.01772/citation-record","integrity":"/paper/2301.01772/integrity","json":"/paper/2301.01772/citation-record.json","paper":"/paper/2301.01772"},"outbound":[],"paper":{"arxiv_id":"2301.01772","last_updated":"2023-01-04T14:08:21Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T13:09:51.054559Z","submitted_at":"2023-01-04T14:08:21Z","title":"Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting Problem"},"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 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2301.01772."}