{"as_of":"2026-08-09T09:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0e7e524b46c61d6fa6e4b3b7cbc12c76bf6670b1783cd7dbf87a0e3026e60675","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T12:41:21.944497Z","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":"2026-05-10T14:20:30.577207Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.10983","last_updated":"2024-07-20T15:56:18Z","snapshot_observed_at":"2026-08-03T06:15:46.117810Z","submitted_at":"2024-03-16T17:30:15Z","title":"OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.10983","snapshot_observed_at":"2026-08-07T12:41:21.944497Z","title":"Omg: Occlusion-friendly personalized multi- concept generation in diffusion models.arXiv preprint arXiv:2403.10983, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23758","last_updated":"2025-05-29T17:59:46Z","snapshot_observed_at":"2026-08-08T23:25:14.933706Z","submitted_at":"2025-05-29T17:59:46Z","title":"LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:21.944497Z"},"links":{"cited_paper":"/paper/2403.10983","citing_paper":"/paper/2505.23758"},"observation_digest":"sha256:7d8ff37d6d88fda03b3a8653f218756b5fe0fa7a906ffa82f8c6731b68b98c24","observation_id":"605f47db-ab50-486d-8943-098706447e41","resolution":{"observed_at":"2026-08-07T12:41:21.944497Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.10983","last_updated":"2024-07-20T15:56:18Z","snapshot_observed_at":"2026-08-03T06:15:46.117810Z","submitted_at":"2024-03-16T17:30:15Z","title":"OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models","version":2},"cited_work":{"arxiv_id":"2403.10983","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.10983","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"30dccf1b-f8b6-470e-bf59-6d48f7867848","year":2024},"citing_paper":{"arxiv_id":"2604.13863","last_updated":"2026-04-15T13:29:08Z","snapshot_observed_at":"2026-08-02T17:57:41.943762Z","submitted_at":"2026-04-15T13:29:08Z","title":"PostureObjectstitch: Anomaly Image Generation Considering Assembly Relationships in Industrial Scenarios","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-10T14:16:40.509571Z"},"links":{"cited_paper":"/paper/2403.10983","citing_paper":"/paper/2604.13863"},"observation_digest":"sha256:c9b62e1d51686745f1eea8b9334b220d2398c5b483bf45c4515f918204509c26","observation_id":"43e58457-0c96-4898-b289-be2fac7ee5de","resolution":{"observed_at":"2026-05-10T14:20:30.580137Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2403.10983/citation-record","integrity":"/paper/2403.10983/integrity","json":"/paper/2403.10983/citation-record.json","paper":"/paper/2403.10983"},"outbound":[],"paper":{"arxiv_id":"2403.10983","last_updated":"2024-07-20T15:56:18Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-03T06:15:46.117810Z","submitted_at":"2024-03-16T17:30:15Z","title":"OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.10983."}