{"as_of":"2026-08-08T19:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c03eaae251e4c93a4c39a95e1d126458bd559bce527a4719ba4a86adb7f15265","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":"2026-08-07T14:01:03.996208Z","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":"2026-07-02T23:37:27.401428Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2205.15821","last_updated":"2022-07-26T11:52:50Z","snapshot_observed_at":"2026-07-06T13:15:54.743540Z","submitted_at":"2022-05-31T14:23:37Z","title":"Unsupervised Image Representation Learning with Deep Latent Particles","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.15821","snapshot_observed_at":"2026-08-07T14:01:03.996208Z","title":"Unsupervised image represen- tation learning with deep latent particles","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.20283","last_updated":"2025-05-26T17:58:32Z","snapshot_observed_at":"2026-08-07T13:53:24.612259Z","submitted_at":"2025-05-26T17:58:32Z","title":"Category-Agnostic Neural Object Rigging","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:03.996208Z"},"links":{"cited_paper":"/paper/2205.15821","citing_paper":"/paper/2505.20283"},"observation_digest":"sha256:2bab9948660fb00c97f28a4d8a9330b90d94a0d774467bdc73f3189b68412e66","observation_id":"073d133b-3f5b-441a-86df-9782cdc8e52d","resolution":{"observed_at":"2026-08-07T14:01:03.996208Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.15821","last_updated":"2022-07-26T11:52:50Z","snapshot_observed_at":"2026-07-06T13:15:54.743540Z","submitted_at":"2022-05-31T14:23:37Z","title":"Unsupervised Image Representation Learning with Deep Latent Particles","version":2},"cited_work":{"arxiv_id":"2205.15821","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.15821","snapshot_observed_at":"2026-07-02T23:37:27.401428Z","title":"Unsupervised image representation learning with deep latent particles.arXiv preprint arXiv:2205.15821,","venue":null,"work_id":"85439d55-6f65-4c35-bf40-2e8c7c471131","year":null},"citing_paper":{"arxiv_id":"2606.08775","last_updated":"2026-06-07T18:39:45Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-06-07T18:39:45Z","title":"Unifying Object-Centric World Models and Diffusion Policy: A Hierarchical Framework for Multi-Stage Robotic Tasks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-27T18:08:00.023503Z"},"links":{"cited_paper":"/paper/2205.15821","citing_paper":"/paper/2606.08775"},"observation_digest":"sha256:58ce84200c764982c728525a05b81d6ac4288c9e952c4a4a3c0b117378f9aaa2","observation_id":"199e5a29-0852-44df-8212-7dd175174731","resolution":{"observed_at":"2026-07-02T23:37:27.403104Z","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/2205.15821/citation-record","integrity":"/paper/2205.15821/integrity","json":"/paper/2205.15821/citation-record.json","paper":"/paper/2205.15821"},"outbound":[],"paper":{"arxiv_id":"2205.15821","last_updated":"2022-07-26T11:52:50Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T13:15:54.743540Z","submitted_at":"2022-05-31T14:23:37Z","title":"Unsupervised Image Representation Learning with Deep Latent Particles"},"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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.15821."}