{"as_of":"2026-08-06T19:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:43c80b3278cfb732719e8da32fa2be3b145cf9c99b0563ce3225edf2cf8779d3","coverage":[{"denominator":4,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-13T08:53:07.449867Z","state":"measured"},{"denominator":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"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":[],"links":{"evidence":"/evidence","html":"/paper/2605.27374/citation-record","integrity":"/paper/2605.27374/integrity","json":"/paper/2605.27374/citation-record.json","paper":"/paper/2605.27374"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.13923","last_updated":"2025-02-19T18:00:14Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-19T18:00:14Z","title":"Qwen2.5-VL Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.13923","snapshot_observed_at":"2026-07-13T08:53:07.449867Z","title":"https://www.midjourney.com/ Accessed: August 3, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.27374","last_updated":"2026-04-08T06:36:54Z","snapshot_observed_at":"2026-07-13T08:53:02.035948Z","submitted_at":"2026-04-08T06:36:54Z","title":"ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-13T08:53:07.449867Z"},"links":{"cited_paper":"/paper/2502.13923","citing_paper":"/paper/2605.27374"},"observation_digest":"sha256:f258a35bcfa7768e0993878b04663b27ee1272755590d7043d9a0fe9bfd055e9","observation_id":"1d825506-27cf-4655-a063-1336db737801","resolution":{"observed_at":"2026-07-13T08:53:07.449867Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-07-13T08:53:07.449867Z","title":"InAnnual Conference on Neural Informa- tion Processing Systems (NeurIPS)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.27374","last_updated":"2026-04-08T06:36:54Z","snapshot_observed_at":"2026-07-13T08:53:02.035948Z","submitted_at":"2026-04-08T06:36:54Z","title":"ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-13T08:53:07.449867Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2605.27374"},"observation_digest":"sha256:6b051d9d37a0d3f4657b05dedd0a4734c2ab2856db905e1f1ff57ac18ce66126","observation_id":"59c6ff41-157d-45c6-ae69-af1f108ba187","resolution":{"observed_at":"2026-07-13T08:53:07.449867Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.06673","last_updated":"2024-12-09T17:11:50Z","snapshot_observed_at":"2026-07-06T20:04:01.034597Z","submitted_at":"2024-12-09T17:11:50Z","title":"ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.06673","snapshot_observed_at":"2026-07-13T08:53:07.449867Z","title":"InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recog- nition, pages 8228–8238","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.27374","last_updated":"2026-04-08T06:36:54Z","snapshot_observed_at":"2026-07-13T08:53:02.035948Z","submitted_at":"2026-04-08T06:36:54Z","title":"ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-13T08:53:07.449867Z"},"links":{"cited_paper":"/paper/2412.06673","citing_paper":"/paper/2605.27374"},"observation_digest":"sha256:ff1f5a00bf7ddcd39067804f5c41706d5a0ce2a8d35f873e0aea7e84b94bc235","observation_id":"f9b83be8-c696-47eb-8e19-0c08e7c9a01d","resolution":{"observed_at":"2026-07-13T08:53:07.449867Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17279","last_updated":"2024-05-20T12:16:30Z","snapshot_observed_at":"2026-07-06T17:36:01.939242Z","submitted_at":"2024-02-27T07:51:06Z","title":"Diffusion Models for Generative Outfit Recommendation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17279","snapshot_observed_at":"2026-07-13T08:53:07.449867Z","title":"InAnnual Conference on Neural Information Processing Sys- tems (NeurIPS)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.27374","last_updated":"2026-04-08T06:36:54Z","snapshot_observed_at":"2026-07-13T08:53:02.035948Z","submitted_at":"2026-04-08T06:36:54Z","title":"ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-13T08:53:07.449867Z"},"links":{"cited_paper":"/paper/2402.17279","citing_paper":"/paper/2605.27374"},"observation_digest":"sha256:f3bce485be97eaaf980bb74c7700b41bac95b916def58fc5f144a7249fde0e9a","observation_id":"9e4cc174-aa49-41aa-8a74-bde3d026a210","resolution":{"observed_at":"2026-07-13T08:53:07.449867Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2605.27374","last_updated":"2026-04-08T06:36:54Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-13T08:53:02.035948Z","submitted_at":"2026-04-08T06:36:54Z","title":"ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment"},"reference_resolution":{"displayed":4,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":4},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2605.27374."}