{"as_of":"2026-08-14T00:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:44df8063f9e32989f81325959187e0ef08affd3bf80dd1cdc845507484a02bde","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T13:40:52.766875Z","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":"2026-08-12T13:40:53.145730Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.10046","last_updated":"2024-08-19T14:38:27Z","snapshot_observed_at":"2026-08-12T23:01:23.550451Z","submitted_at":"2024-08-19T14:38:27Z","title":"Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning","version":1},"cited_work":{"arxiv_id":"2408.10046","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.10046","snapshot_observed_at":"2026-08-12T13:40:53.145730Z","title":"Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning","venue":"cs.LG","work_id":"c1c6c3d5-37a3-4598-981c-f1d7238784c8","year":2024},"citing_paper":{"arxiv_id":"2411.16064","last_updated":"2025-05-27T12:46:03Z","snapshot_observed_at":"2026-08-12T13:32:53.538867Z","submitted_at":"2024-11-25T03:28:09Z","title":"Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation","version":4},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T13:40:52.766875Z"},"links":{"cited_paper":"/paper/2408.10046","citing_paper":"/paper/2411.16064"},"observation_digest":"sha256:d57afb5585d7adf1fc2d3751165828181aa97b8f44166d203d489466b4a991d9","observation_id":"9c9c8690-7510-4aab-bdce-618a7e1f0f19","resolution":{"observed_at":"2026-08-12T13:40:53.155533Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2408.10046/citation-record","integrity":"/paper/2408.10046/integrity","json":"/paper/2408.10046/citation-record.json","paper":"/paper/2408.10046"},"outbound":[],"paper":{"arxiv_id":"2408.10046","last_updated":"2024-08-19T14:38:27Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-12T23:01:23.550451Z","submitted_at":"2024-08-19T14:38:27Z","title":"Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2408.10046."}