{"as_of":"2026-08-08T02:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3e1c5ec4b9c9af5f2401149fc5c2e3715b9519db8fe1744434aeae7e9e777565","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:23:38.607316Z","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":"2026-05-21T07:59:50.757597Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.18616","last_updated":"2024-11-27T18:58:52Z","snapshot_observed_at":"2026-08-03T12:37:12.165864Z","submitted_at":"2024-11-27T18:58:52Z","title":"Diffusion Self-Distillation for Zero-Shot Customized Image Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.18616","snapshot_observed_at":"2026-08-07T13:23:38.607316Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21911","last_updated":"2025-05-28T02:57:55Z","snapshot_observed_at":"2026-08-07T13:17:17.084584Z","submitted_at":"2025-05-28T02:57:55Z","title":"AlignGen: Boosting Personalized Image Generation with Cross-Modality Prior Alignment","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T13:23:38.607316Z"},"links":{"cited_paper":"/paper/2411.18616","citing_paper":"/paper/2505.21911"},"observation_digest":"sha256:7c00bd5585861afa4d6982e5ef2f1e033b0c6632549fae3115652cd906669da1","observation_id":"3f279121-3634-4c25-946a-b363d7ae17c6","resolution":{"observed_at":"2026-08-07T13:23:38.607316Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.18616","last_updated":"2024-11-27T18:58:52Z","snapshot_observed_at":"2026-08-03T12:37:12.165864Z","submitted_at":"2024-11-27T18:58:52Z","title":"Diffusion Self-Distillation for Zero-Shot Customized Image Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.18616","snapshot_observed_at":"2026-08-06T19:59:26.497596Z","title":"Diffusion self- distillation for zero-shot customized image generation.arXiv preprint arXiv:2411.18616, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.04218","last_updated":"2025-07-06T03:06:45Z","snapshot_observed_at":"2026-08-07T22:14:25.337254Z","submitted_at":"2025-07-06T03:06:45Z","title":"DreamPoster: A Unified Framework for Image-Conditioned Generative Poster Design","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T19:59:26.497596Z"},"links":{"cited_paper":"/paper/2411.18616","citing_paper":"/paper/2507.04218"},"observation_digest":"sha256:a473ba8f3948be7f8dad0255dde2f0124cabe8c04e0afd0bc89309b46ba5c3bf","observation_id":"51e9b465-8380-4271-b68f-2dc2aab08fd5","resolution":{"observed_at":"2026-08-06T19:59:26.497596Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.18616","last_updated":"2024-11-27T18:58:52Z","snapshot_observed_at":"2026-08-03T12:37:12.165864Z","submitted_at":"2024-11-27T18:58:52Z","title":"Diffusion Self-Distillation for Zero-Shot Customized Image Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.18616","snapshot_observed_at":"2026-08-05T21:57:28.300471Z","title":"Diffusion self-distillation for zero-shot customized image generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.07755","last_updated":"2025-08-11T08:36:29Z","snapshot_observed_at":"2026-08-05T21:57:27.511918Z","submitted_at":"2025-08-11T08:36:29Z","title":"Comparison Reveals Commonality: Customized Image Generation through Contrastive Inversion","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T21:57:28.300471Z"},"links":{"cited_paper":"/paper/2411.18616","citing_paper":"/paper/2508.07755"},"observation_digest":"sha256:91ea50328ee2e95a0bf20ac778ff1ab676c961799aaec0a07f68296ead7dd0b2","observation_id":"398db788-026d-4c71-9726-5c66d49ac0bb","resolution":{"observed_at":"2026-08-05T21:57:28.300471Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.18616","last_updated":"2024-11-27T18:58:52Z","snapshot_observed_at":"2026-08-03T12:37:12.165864Z","submitted_at":"2024-11-27T18:58:52Z","title":"Diffusion Self-Distillation for Zero-Shot Customized Image Generation","version":1},"cited_work":{"arxiv_id":"2411.18616","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.18616","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Diffusion self-distillation for zero-shot customized image generation","venue":null,"work_id":"b5301a77-2704-4b76-b316-890aa31e5544","year":2024},"citing_paper":{"arxiv_id":"2605.18678","last_updated":"2026-05-20T11:14:23Z","snapshot_observed_at":"2026-08-04T16:01:22.114748Z","submitted_at":"2026-05-18T17:18:24Z","title":"Lance: Unified Multimodal Modeling by Multi-Task Synergy","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-20T11:46:52.658984Z"},"links":{"cited_paper":"/paper/2411.18616","citing_paper":"/paper/2605.18678"},"observation_digest":"sha256:93e9a6eab8eb1b9a9bb08fee30b87b2a79a0fdf88b63149f8087685a1595c196","observation_id":"6195b372-37af-4e89-9d41-896c98b1ec6f","resolution":{"observed_at":"2026-05-20T11:48:14.888867Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.18616","last_updated":"2024-11-27T18:58:52Z","snapshot_observed_at":"2026-08-03T12:37:12.165864Z","submitted_at":"2024-11-27T18:58:52Z","title":"Diffusion Self-Distillation for Zero-Shot Customized Image Generation","version":1},"cited_work":{"arxiv_id":"2411.18616","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.18616","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Diffusion self-distillation for zero-shot customized image generation","venue":null,"work_id":"b5301a77-2704-4b76-b316-890aa31e5544","year":2024},"citing_paper":{"arxiv_id":"2605.18678","last_updated":"2026-05-20T11:14:23Z","snapshot_observed_at":"2026-08-04T16:01:22.114748Z","submitted_at":"2026-05-18T17:18:24Z","title":"Lance: Unified Multimodal Modeling by Multi-Task Synergy","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-21T07:56:34.034047Z"},"links":{"cited_paper":"/paper/2411.18616","citing_paper":"/paper/2605.18678"},"observation_digest":"sha256:5405a3b14ab60429ee63395f811cbde5eb987cc4d1f641153d11ff5f4a7cb8dc","observation_id":"bba7fdbd-3482-4775-b6ba-073f017e7ef1","resolution":{"observed_at":"2026-05-21T07:59:50.759531Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.18616/citation-record","integrity":"/paper/2411.18616/integrity","json":"/paper/2411.18616/citation-record.json","paper":"/paper/2411.18616"},"outbound":[],"paper":{"arxiv_id":"2411.18616","last_updated":"2024-11-27T18:58:52Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-03T12:37:12.165864Z","submitted_at":"2024-11-27T18:58:52Z","title":"Diffusion Self-Distillation for Zero-Shot Customized Image Generation"},"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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.18616."}