{"as_of":"2026-08-18T20:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b5862d1e714acae6a06cfe149c5c1228bd01b1a5fa7c3d184450f3069f76781b","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":"2026-08-18T06:34:40.430872+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":"2026-08-07T10:54:04.670873Z","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":"2026-08-06T21:59:12.211066Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2209.00244","last_updated":"2023-04-24T08:46:31Z","snapshot_observed_at":"2026-08-16T16:35:29.407206Z","submitted_at":"2022-09-01T06:11:12Z","title":"MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.00244","snapshot_observed_at":"2026-08-07T10:54:04.670873Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.04081","last_updated":"2025-06-04T15:44:03Z","snapshot_observed_at":"2026-08-12T17:12:13.441692Z","submitted_at":"2025-06-04T15:44:03Z","title":"Point Cloud Quality Assessment Using the Perceptual Clustering Weighted Graph (PCW-Graph) and Attention Fusion Network","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T10:54:04.670873Z"},"links":{"cited_paper":"/paper/2209.00244","citing_paper":"/paper/2506.04081"},"observation_digest":"sha256:27d17a37458dcb89760e58c9413760f5abe6900e5429e6bf55b0812f7b25f9e6","observation_id":"4e183f61-4134-4d89-a7ef-07d215c5f060","resolution":{"observed_at":"2026-08-07T10:54:04.670873Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.00244","last_updated":"2023-04-24T08:46:31Z","snapshot_observed_at":"2026-08-16T16:35:29.407206Z","submitted_at":"2022-09-01T06:11:12Z","title":"MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment","version":2},"cited_work":{"arxiv_id":"2209.00244","doi":null,"metadata_source":"pith","pith_arxiv_id":"2209.00244","snapshot_observed_at":"2026-08-06T21:59:12.211066Z","title":"MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment","venue":"cs.CV","work_id":"ded8fee9-5918-4633-89ea-e3b7a9c740c4","year":2022},"citing_paper":{"arxiv_id":"2506.22902","last_updated":"2025-06-28T14:34:24Z","snapshot_observed_at":"2026-08-16T11:44:42.690911Z","submitted_at":"2025-06-28T14:34:24Z","title":"Point Cloud Compression and Objective Quality Assessment: A Survey","version":1},"reference_index":189,"source":"pdf_text","source_observed_at":"2026-08-06T21:59:07.357513Z"},"links":{"cited_paper":"/paper/2209.00244","citing_paper":"/paper/2506.22902"},"observation_digest":"sha256:d2c3d5126bdc72b0a7ad4ec4ee09626856d60921f866cb15d466caf8a9f3cceb","observation_id":"48e703a5-5dea-49f9-925a-f68e75627d16","resolution":{"observed_at":"2026-08-06T21:59:12.323958Z","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/2209.00244/citation-record","integrity":"/paper/2209.00244/integrity","json":"/paper/2209.00244/citation-record.json","paper":"/paper/2209.00244"},"outbound":[],"paper":{"arxiv_id":"2209.00244","last_updated":"2023-04-24T08:46:31Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T16:35:29.407206Z","submitted_at":"2022-09-01T06:11:12Z","title":"MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment"},"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 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.00244."}