{"as_of":"2026-08-07T15:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dd59f38dea96aabee70767ed328c98d16d2204dfefd21ca1a4e687f3374856f0","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":"2026-08-07T06:34:17.273281+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":"2026-08-07T00:40:21.580050Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.10358","last_updated":"2025-03-13T13:39:24Z","snapshot_observed_at":"2026-07-06T20:51:59.624697Z","submitted_at":"2025-03-13T13:39:24Z","title":"ConceptGuard: Continual Personalized Text-to-Image Generation with Forgetting and Confusion Mitigation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.10358","snapshot_observed_at":"2026-08-07T00:40:21.580050Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.13045","last_updated":"2025-08-24T10:01:04Z","snapshot_observed_at":"2026-08-07T00:34:58.147767Z","submitted_at":"2025-06-16T02:27:25Z","title":"Continual Learning for Generative AI: From LLMs to MLLMs and Beyond","version":4},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:21.580050Z"},"links":{"cited_paper":"/paper/2503.10358","citing_paper":"/paper/2506.13045"},"observation_digest":"sha256:d8f94f590bbb8497d6def0679927b2e7634ebdb133b1af2b6bb373bb3ead4927","observation_id":"54f5bb62-8b7b-47b0-9505-c96193c5e4d1","resolution":{"observed_at":"2026-08-07T00:40:21.580050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2503.10358/citation-record","integrity":"/paper/2503.10358/integrity","json":"/paper/2503.10358/citation-record.json","paper":"/paper/2503.10358"},"outbound":[],"paper":{"arxiv_id":"2503.10358","last_updated":"2025-03-13T13:39:24Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T20:51:59.624697Z","submitted_at":"2025-03-13T13:39:24Z","title":"ConceptGuard: Continual Personalized Text-to-Image Generation with Forgetting and Confusion Mitigation"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2503.10358."}