{"as_of":"2026-08-22T06:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:21500ca4cff558d3729ac435578e33b80cb0e79b81cc4a6428d13f2c90c9baf5","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":"2026-08-22T06:32:14.747728+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":"2026-08-15T17:09:11.007760Z","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":"2026-08-14T05:30:03.170771Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1805.11264","last_updated":"2018-05-29T06:45:02Z","snapshot_observed_at":"2026-08-21T23:45:46.808189Z","submitted_at":"2018-05-29T06:45:02Z","title":"Disentangling by Partitioning: A Representation Learning Framework for Multimodal Sensory Data","version":1},"cited_work":{"arxiv_id":"1805.11264","doi":null,"metadata_source":"pith","pith_arxiv_id":"1805.11264","snapshot_observed_at":"2026-08-14T05:30:03.170771Z","title":"Disentangling by Partitioning: A Representation Learning Framework for Multimodal Sensory Data","venue":"stat.ML","work_id":"32176a17-60bc-498c-8c2c-45e8920487d0","year":2018},"citing_paper":{"arxiv_id":"1909.01218","last_updated":"2019-09-03T14:36:19Z","snapshot_observed_at":"2026-08-21T11:12:29.638691Z","submitted_at":"2019-09-03T14:36:19Z","title":"Translating Visual Art into Music","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-14T05:30:03.046805Z"},"links":{"cited_paper":"/paper/1805.11264","citing_paper":"/paper/1909.01218"},"observation_digest":"sha256:228aaecff568e80fcaf0056ff49469c10e75b25cacf287116ff6157fc472eae0","observation_id":"8df4581b-c3c6-4ec1-baf3-722542e168c8","resolution":{"observed_at":"2026-08-14T05:30:03.177037Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1805.11264","last_updated":"2018-05-29T06:45:02Z","snapshot_observed_at":"2026-08-21T23:45:46.808189Z","submitted_at":"2018-05-29T06:45:02Z","title":"Disentangling by Partitioning: A Representation Learning Framework for Multimodal Sensory Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.11264","snapshot_observed_at":"2026-08-15T17:09:11.007760Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.17376","last_updated":"2025-08-24T14:16:22Z","snapshot_observed_at":"2026-08-19T22:27:25.145683Z","submitted_at":"2025-08-24T14:16:22Z","title":"ShaLa: Multimodal Shared Latent Space Modelling","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-15T17:09:11.007760Z"},"links":{"cited_paper":"/paper/1805.11264","citing_paper":"/paper/2508.17376"},"observation_digest":"sha256:6f896cf590b3fd1e5f733ad648554ca2743c2f003a3477569a86c4a88f690de8","observation_id":"6b3d5faa-05fc-431a-9015-43391944c9a3","resolution":{"observed_at":"2026-08-15T17:09:11.007760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1805.11264/citation-record","integrity":"/paper/1805.11264/integrity","json":"/paper/1805.11264/citation-record.json","paper":"/paper/1805.11264"},"outbound":[],"paper":{"arxiv_id":"1805.11264","last_updated":"2018-05-29T06:45:02Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-21T23:45:46.808189Z","submitted_at":"2018-05-29T06:45:02Z","title":"Disentangling by Partitioning: A Representation Learning Framework for Multimodal Sensory Data"},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1805.11264."}