{"as_of":"2026-08-19T02:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:895135da7119b685d4971f452717cb2880f4176acea14858810ebe57719ef670","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T22:14:09.698030Z","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":"2026-08-07T04:59:00.684238Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2203.04733","last_updated":"2022-10-07T13:37:49Z","snapshot_observed_at":"2026-08-18T17:39:44.371798Z","submitted_at":"2022-03-09T14:15:02Z","title":"Bayesian tensor regression using the Tucker decomposition for sparse spatial modeling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.04733","snapshot_observed_at":"2026-08-10T13:43:07.748210Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.16223","last_updated":"2025-01-27T17:14:35Z","snapshot_observed_at":"2026-08-15T11:16:02.323725Z","submitted_at":"2025-01-27T17:14:35Z","title":"Statistical Inference for Low-Rank Tensor Models","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T13:43:07.748210Z"},"links":{"cited_paper":"/paper/2203.04733","citing_paper":"/paper/2501.16223"},"observation_digest":"sha256:7f1b3ee8a1b70a8b8c70990a7522a1a4185d962ab7a9e1bc0075aa39303ecc43","observation_id":"c50d67f4-5db1-4495-a21f-c9ab31a4202b","resolution":{"observed_at":"2026-08-10T13:43:07.748210Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.04733","last_updated":"2022-10-07T13:37:49Z","snapshot_observed_at":"2026-08-18T17:39:44.371798Z","submitted_at":"2022-03-09T14:15:02Z","title":"Bayesian tensor regression using the Tucker decomposition for sparse spatial modeling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.04733","snapshot_observed_at":"2026-08-15T22:14:09.698030Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.07975","last_updated":"2025-05-12T18:16:28Z","snapshot_observed_at":"2026-08-18T19:57:10.412563Z","submitted_at":"2025-05-12T18:16:28Z","title":"Time-varying Parameter Tensor Vector Autoregression","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-15T22:14:09.698030Z"},"links":{"cited_paper":"/paper/2203.04733","citing_paper":"/paper/2505.07975"},"observation_digest":"sha256:6561986d1c44a2a5063925782ac45d192d7712159a9dd5c33af4b6b912b1d2a4","observation_id":"2dd317d0-7d6b-4f3e-b0f0-2c0198b3bde0","resolution":{"observed_at":"2026-08-15T22:14:09.698030Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.04733","last_updated":"2022-10-07T13:37:49Z","snapshot_observed_at":"2026-08-18T17:39:44.371798Z","submitted_at":"2022-03-09T14:15:02Z","title":"Bayesian tensor regression using the Tucker decomposition for sparse spatial modeling","version":3},"cited_work":{"arxiv_id":"2203.04733","doi":null,"metadata_source":"pith","pith_arxiv_id":"2203.04733","snapshot_observed_at":"2026-08-07T04:59:00.684238Z","title":"Bayesian tensor regression using the Tucker decomposition for sparse spatial modeling","venue":"stat.ME","work_id":"97e2c024-ac53-4db6-84e0-a244cad0581b","year":2022},"citing_paper":{"arxiv_id":"2506.09358","last_updated":"2025-06-11T03:16:25Z","snapshot_observed_at":"2026-08-18T18:55:09.225417Z","submitted_at":"2025-06-11T03:16:25Z","title":"Functional Tensor Regression","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T04:59:00.533215Z"},"links":{"cited_paper":"/paper/2203.04733","citing_paper":"/paper/2506.09358"},"observation_digest":"sha256:98310a14844fe02011267ccfb242d210d7053a4e78b94c170b9bd3132cb3a60f","observation_id":"eae98647-2fdf-4718-ac4f-4217715466d9","resolution":{"observed_at":"2026-08-07T04:59:00.807203Z","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/2203.04733/citation-record","integrity":"/paper/2203.04733/integrity","json":"/paper/2203.04733/citation-record.json","paper":"/paper/2203.04733"},"outbound":[],"paper":{"arxiv_id":"2203.04733","last_updated":"2022-10-07T13:37:49Z","latest_version":3,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-18T17:39:44.371798Z","submitted_at":"2022-03-09T14:15:02Z","title":"Bayesian tensor regression using the Tucker decomposition for sparse spatial modeling"},"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 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2203.04733."}