{"as_of":"2026-08-09T00:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b4a719bf3f3ddcc1ccb90d90c051e66ee7e0241e13e153ddbdecd795979a28a9","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T05:59:18.079870Z","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":"2026-05-19T21:17:48.610605Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2101.06070","last_updated":"2021-01-15T11:39:09Z","snapshot_observed_at":"2026-08-02T20:54:16.093325Z","submitted_at":"2021-01-15T11:39:09Z","title":"Efficient Semi-Implicit Variational Inference","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.06070","snapshot_observed_at":"2026-08-07T05:59:18.079870Z","title":"Efficient semi-implicit variational inference","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.06778","last_updated":"2025-06-07T12:36:56Z","snapshot_observed_at":"2026-08-08T10:02:01.461211Z","submitted_at":"2025-06-07T12:36:56Z","title":"Continuous Semi-Implicit Models","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T05:59:18.079870Z"},"links":{"cited_paper":"/paper/2101.06070","citing_paper":"/paper/2506.06778"},"observation_digest":"sha256:71a5b5dcfb5e3e36f92b6ff279cbe6d8b90e429071e9f4c980a49221fc0e9764","observation_id":"9a5522d4-29f9-4231-9162-27bdeb1cf79f","resolution":{"observed_at":"2026-08-07T05:59:18.079870Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.06070","last_updated":"2021-01-15T11:39:09Z","snapshot_observed_at":"2026-08-02T20:54:16.093325Z","submitted_at":"2021-01-15T11:39:09Z","title":"Efficient Semi-Implicit Variational Inference","version":1},"cited_work":{"arxiv_id":"2101.06070","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2101.06070","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2101.06070 , year=","venue":null,"work_id":"1a54c9cc-55f5-4310-8dd2-19a85b3cc108","year":null},"citing_paper":{"arxiv_id":"2605.16570","last_updated":"2026-05-15T19:18:39Z","snapshot_observed_at":"2026-08-08T10:43:33.830932Z","submitted_at":"2026-05-15T19:18:39Z","title":"A Cubing Strategy for Identifying Stable Hyperparameter Regions for Uncertainty Quantification in Spatial Deep Learning","version":1},"reference_index":226,"source":"arxiv_source","source_observed_at":"2026-05-19T21:14:45.344663Z"},"links":{"cited_paper":"/paper/2101.06070","citing_paper":"/paper/2605.16570"},"observation_digest":"sha256:803aebf872b3fad014c769f1912232b48b0b6782761ae8b0f30101d63a976f50","observation_id":"3137f15d-fdd3-455b-85eb-9a5423c7581c","resolution":{"observed_at":"2026-05-19T21:17:48.613786Z","resolver_source":"arxiv_id","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/2101.06070/citation-record","integrity":"/paper/2101.06070/integrity","json":"/paper/2101.06070/citation-record.json","paper":"/paper/2101.06070"},"outbound":[],"paper":{"arxiv_id":"2101.06070","last_updated":"2021-01-15T11:39:09Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-02T20:54:16.093325Z","submitted_at":"2021-01-15T11:39:09Z","title":"Efficient Semi-Implicit Variational Inference"},"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 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2101.06070."}