{"as_of":"2026-08-10T20:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:454a7c3b13491f2d61cdaa35f481a22045b6e69adace11da432049a1a8e0edfe","coverage":[{"denominator":61,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":61,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T22:28:28.954807Z","state":"measured"},{"denominator":61,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":61,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2607.15752/citation-record","integrity":"/paper/2607.15752/integrity","json":"/paper/2607.15752/citation-record.json","paper":"/paper/2607.15752"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:21.894862Z","title":null,"venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:21.894862Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:7d22f4d6e1c5e75a449c3b80f159574584981eb96f58c4ebf137964a33739db4","observation_id":"6eaba29f-927e-428f-b262-25ce12ac1a09","resolution":{"observed_at":"2026-08-01T22:28:21.894862Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16609","last_updated":"2023-09-28T17:07:49Z","snapshot_observed_at":"2026-08-09T21:25:20.369782Z","submitted_at":"2023-09-28T17:07:49Z","title":"Qwen Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16609","snapshot_observed_at":"2026-08-01T22:28:21.964760Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:21.964760Z"},"links":{"cited_paper":"/paper/2309.16609","citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:3ac3f63f98ebc73ccaacd5d313a2a048f913f71b895c5d7909afac904497e611","observation_id":"094184d5-cd44-4775-a970-1fff0457311c","resolution":{"observed_at":"2026-08-01T22:28:21.964760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:22.094752Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:22.094752Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:780c048ebde591c5859e44254cd0c12010faddd20b55394acbdc0cf54063cd07","observation_id":"636f4ff7-6fb8-4825-848c-6635ee1c9b7b","resolution":{"observed_at":"2026-08-01T22:28:22.094752Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:22.290009Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:22.290009Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:b39c47400371925ea87969f01c90ef9edb862cc9b3f6df68476f97d91fec79aa","observation_id":"a9f60c32-2d53-4c87-b6af-6225c71d177c","resolution":{"observed_at":"2026-08-01T22:28:22.290009Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:22.426219Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:22.426219Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:fbe45cb0f1b972168bd6691c0322a79305be9d464fdf5e4f99bb1476a38e0fd4","observation_id":"2f7631be-b37c-4732-a8ee-37fee38707ac","resolution":{"observed_at":"2026-08-01T22:28:22.426219Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:22.554741Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:22.554741Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:4f745fa898c15f7e933eefefd0eeca482309c9253f3549022a4947619515347f","observation_id":"a736b4fc-5447-43c4-a634-57aeafa34a5a","resolution":{"observed_at":"2026-08-01T22:28:22.554741Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:22.892557Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:22.892557Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:1e697b6b58229c9676151fc4468f733996a63fbec6d23ba2af65e4954b5ca25e","observation_id":"0bf4af33-7901-4be9-8c91-fe02c07f3b21","resolution":{"observed_at":"2026-08-01T22:28:22.892557Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:23.024817Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:23.024817Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:0e858830d4782a6c3354c4f17ab60d768973e0e8625bb66029dce9c4850cfce5","observation_id":"6ce28529-d9a6-4766-8061-fb39343ec6a4","resolution":{"observed_at":"2026-08-01T22:28:23.024817Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:23.234743Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:23.234743Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:42cb1a431036f6113e73dc9dcec80a75e7697f8b418e4cd752d38c0db4ab8211","observation_id":"c1d71aca-a1c0-4d97-8f0b-845f61c30991","resolution":{"observed_at":"2026-08-01T22:28:23.234743Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:23.404743Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:23.404743Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:fccb6c84ed3882dcfc3dfa4be45a626daf39c49dfdbe33672ccf8bc0e495d4f8","observation_id":"55c725ab-dc1d-46ac-b7bd-b9f853c4969b","resolution":{"observed_at":"2026-08-01T22:28:23.404743Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:23.504856Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:23.504856Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:946dd66144c3c843ce847fa0276b43ef06849ee9a15962a401f133ba84f8931d","observation_id":"6837123b-1227-4856-897c-0f7ccaf8606c","resolution":{"observed_at":"2026-08-01T22:28:23.504856Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.08276","last_updated":"2024-01-16T10:58:07Z","snapshot_observed_at":"2026-08-06T06:23:37.806162Z","submitted_at":"2024-01-16T10:58:07Z","title":"AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.08276","snapshot_observed_at":"2026-08-01T22:28:23.644746Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:23.644746Z"},"links":{"cited_paper":"/paper/2401.08276","citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:d73359f6413daba34468b2b9be4a072d01d439882fbbaec6c3956c861f118622","observation_id":"4a3dba16-dc5a-40bd-9e15-6ff73d6c2ab9","resolution":{"observed_at":"2026-08-01T22:28:23.644746Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:23.722735Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:23.722735Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:6fde1404057b93daca564aa16ddffd10547d2dc3333795616b66bb57140d8731","observation_id":"eea8b51e-341d-4b5e-bb73-1a2df59c50b9","resolution":{"observed_at":"2026-08-01T22:28:23.722735Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:23.844217Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:23.844217Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:73ede83b6a369362a9287aeefc3301d30488ba5c02f2a6ccc380361275626a04","observation_id":"1d101177-017b-48f7-8365-5fe3b9f91fc7","resolution":{"observed_at":"2026-08-01T22:28:23.844217Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:23.903422Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:23.903422Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:6aa6743371d7a5f2ba10ae1aa801c7340da44537359b634231ac0c94efb15bcb","observation_id":"3d87ce3d-d403-4ef8-847c-56e7d325a172","resolution":{"observed_at":"2026-08-01T22:28:23.903422Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.11760","last_updated":"2023-11-12T12:35:41Z","snapshot_observed_at":"2026-08-06T12:21:48.928479Z","submitted_at":"2023-07-14T00:57:12Z","title":"Large Language Models Understand and Can be Enhanced by Emotional Stimuli","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.11760","snapshot_observed_at":"2026-08-01T22:28:23.974831Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:23.974831Z"},"links":{"cited_paper":"/paper/2307.11760","citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:2f259b05429653b804dda9c32597b42c6063bbac6daafccf9c3e94cbd28c974c","observation_id":"15924eda-a337-42f4-843e-3db0cb0a464e","resolution":{"observed_at":"2026-08-01T22:28:23.974831Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:24.066474Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:24.066474Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:b2da8346a66fac74f7410472fe9b0d4ba8700d1b5e815e6f213e7d7d6b462b74","observation_id":"06206cae-6e4d-4e3b-99e1-ed830c1c5203","resolution":{"observed_at":"2026-08-01T22:28:24.066474Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:24.134504Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:24.134504Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:7734fb02728530e1b6daf94da97c1ce694844c7801d28cd2581354457646bcdc","observation_id":"2d715e1f-3e7b-479e-b61b-87e0d43211ce","resolution":{"observed_at":"2026-08-01T22:28:24.134504Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.15698","last_updated":"2023-09-27T14:40:12Z","snapshot_observed_at":"2026-08-04T10:16:25.449869Z","submitted_at":"2023-09-27T14:40:12Z","title":"Deep Model Fusion: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.15698","snapshot_observed_at":"2026-08-01T22:28:24.374751Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:24.374751Z"},"links":{"cited_paper":"/paper/2309.15698","citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:d5443ac69ef131ec1311d1c5c65bff862d6c1becb47fcaddaa4dda000c4e549c","observation_id":"b436762a-c77c-4d07-9711-ea9840ab17ca","resolution":{"observed_at":"2026-08-01T22:28:24.374751Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:24.474743Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:24.474743Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:d4358e77c3b22c73034d8a51df2724e5053eda03c5bacb596ba28397f3549a96","observation_id":"9a24f743-5ea0-4a8e-a5a9-412c924be523","resolution":{"observed_at":"2026-08-01T22:28:24.474743Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:24.583527Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:24.583527Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:16bf5144ae4126698ee22abdcb1f3fe1dfded167a46667df5124d79760524284","observation_id":"70051393-5443-49b1-9610-b84011aeb2b4","resolution":{"observed_at":"2026-08-01T22:28:24.583527Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:24.724741Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:24.724741Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:f8c27439622568cdc680b44ce6c8bb7cd148b9997b33ab62dd4805d6fc8f1a9a","observation_id":"2fa0b73b-b6fd-4888-b4a1-869a5be0d9ba","resolution":{"observed_at":"2026-08-01T22:28:24.724741Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:24.830100Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:24.830100Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:7a76e1b3bd39775b68d47aaba30dd471a4dfb3453437f4ab245899c3580dc42e","observation_id":"06affb0d-7c95-48e1-85ee-a7836eb2dc8a","resolution":{"observed_at":"2026-08-01T22:28:24.830100Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:24.994749Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:24.994749Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:9a1f28ba6b76cc980eebd0f0cb20b48221e0731c167adf743e2340e2cd468d90","observation_id":"f6fbeaa6-232b-4055-98f5-5fa89f55073a","resolution":{"observed_at":"2026-08-01T22:28:24.994749Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:25.104743Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:25.104743Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:ca27f9b27b0ae2295d42aa88e3226e399ec874afcbf1baaa065773c2569f8c89","observation_id":"0c995e28-4d02-4e72-9bed-e340d615487d","resolution":{"observed_at":"2026-08-01T22:28:25.104743Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:25.205407Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:25.205407Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:537acbd9a2099109f9b475d9ed2f649de467e603a95c7fe4f52b8651190b0b75","observation_id":"0790fd7c-c83a-4565-ab57-ade6a65e8cf8","resolution":{"observed_at":"2026-08-01T22:28:25.205407Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:25.324230Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:25.324230Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:7b749efa46efd2ca2e5bb4aec0e4c04c455d6496471cadb1abf1aa95f4e0b0c6","observation_id":"dff0046d-3267-4169-ac12-42fe4d772d68","resolution":{"observed_at":"2026-08-01T22:28:25.324230Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:25.424121Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:25.424121Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:3962d23737494439a9965a89d24b156fa5b35b7826715c0caa8b814842423de2","observation_id":"90bb8c62-31fd-469d-87ba-2f5cf7475e45","resolution":{"observed_at":"2026-08-01T22:28:25.424121Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:25.534749Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:25.534749Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:9c1fa2a260c0d72e2df2c4ace53bbf4b2e3727499105483384f21b519ae02510","observation_id":"17fb794a-e906-4d5a-b944-a015dc78fcbe","resolution":{"observed_at":"2026-08-01T22:28:25.534749Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:25.714814Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:25.714814Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:0129bba6e7f7d0914dd747cf6c6bdb462393236dee62bd35dd0da89314457688","observation_id":"ee5f59ed-6f25-4e97-b910-ac0079fa4524","resolution":{"observed_at":"2026-08-01T22:28:25.714814Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:25.794745Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:25.794745Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:09ba18e0986660845259a4003911d2ad619bcdf4f0529cf7c69c2c59652dd5f4","observation_id":"37cf38a7-1170-492d-883e-842273aeb152","resolution":{"observed_at":"2026-08-01T22:28:25.794745Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:25.884742Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:25.884742Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:c93b0a4122f563e6b2bce53ae18fd70ebf1ffcd4325f942ecbeb34c080a4957e","observation_id":"613fddd1-d3d7-40c0-be99-fe29eeb68e81","resolution":{"observed_at":"2026-08-01T22:28:25.884742Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:25.975849Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:25.975849Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:ba4f4c56022a9be2f634cf847f09097e92aafad699b9fd0494d928dc3d0d800a","observation_id":"c5ac2981-fccb-4f8e-a7a3-69fd5caad467","resolution":{"observed_at":"2026-08-01T22:28:25.975849Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:26.094837Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:26.094837Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:a30597df626f40cbafee90cbd44c73576fce174e0d7cbefefe4034eba18ba995","observation_id":"ec3edb79-40b0-492c-b069-1dd0306e4b23","resolution":{"observed_at":"2026-08-01T22:28:26.094837Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.04742","last_updated":"2024-03-11T10:07:08Z","snapshot_observed_at":"2026-08-10T08:11:07.796410Z","submitted_at":"2023-10-07T08:55:54Z","title":"Parameter Efficient Multi-task Model Fusion with Partial Linearization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.04742","snapshot_observed_at":"2026-08-01T22:28:26.301358Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:26.301358Z"},"links":{"cited_paper":"/paper/2310.04742","citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:b83cc51bc156ab279ac249b7f7e23b67d1543549b331e4adc4eddd9668207ad9","observation_id":"e52eaf44-9e90-4835-bdf0-fad577979dda","resolution":{"observed_at":"2026-08-01T22:28:26.301358Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:26.444771Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:26.444771Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:2e977e556eedbc27b0e37262d62b6062d2cb45f5987b18b7314bb78725622168","observation_id":"ebe1e184-60e2-408a-8096-881774e70e41","resolution":{"observed_at":"2026-08-01T22:28:26.444771Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:26.224746Z","title":"InProceedings of the 2024 Conference on Empirical Methods in Natural Language Processing","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:26.224746Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:1e9ab3246fe8d334f49fc84340443e8fe4227138fdfbbe1f60d19b18e211d1b7","observation_id":"f8c00fa3-fa7d-4b67-9506-21ba31233168","resolution":{"observed_at":"2026-08-01T22:28:26.224746Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:26.683449Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:26.683449Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:4e942b9b0c3b02069362ede78212017dea132bd3bc934ab1208e60caf7daef35","observation_id":"e3942c2c-cc33-45f2-92f0-ae86d53b51b1","resolution":{"observed_at":"2026-08-01T22:28:26.683449Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.13081","last_updated":"2025-02-18T17:34:04Z","snapshot_observed_at":"2026-08-07T18:07:42.144678Z","submitted_at":"2025-02-18T17:34:04Z","title":"Personalized Image Generation with Deep Generative Models: A Decade Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.13081","snapshot_observed_at":"2026-08-01T22:28:26.744753Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:26.744753Z"},"links":{"cited_paper":"/paper/2502.13081","citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:b6f5baf4c14a8241760e7a4f2c6a800341564f0a2b1929dedaea8ea56e8e7ac4","observation_id":"c862d691-67f2-45c8-bf98-2f2486bfb8ff","resolution":{"observed_at":"2026-08-01T22:28:26.744753Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.18265","last_updated":"2025-08-27T14:39:45Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-08-25T17:58:17Z","title":"InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.18265","snapshot_observed_at":"2026-08-01T22:28:26.594748Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:26.594748Z"},"links":{"cited_paper":"/paper/2508.18265","citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:b3d97f70e026552614c0b917d68dc620255fc90609245106cc2a3da3776975fd","observation_id":"3b07ca73-5ce4-4cf5-9f1e-d522647cc029","resolution":{"observed_at":"2026-08-01T22:28:26.594748Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:26.965177Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:26.965177Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:07bee2027a25e4cff366d6cbb629bd389357ff26a5be95294c6437b1531508ff","observation_id":"3fbdd37c-30fc-4481-b2a2-91807144bcd6","resolution":{"observed_at":"2026-08-01T22:28:26.965177Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:27.074751Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:27.074751Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:6ef36f8e4927dda7ecf302302c527e91f89ceaa2dbf15e49dd635c767b097731","observation_id":"46af2925-c8f9-4e85-ac92-911d06b7c90f","resolution":{"observed_at":"2026-08-01T22:28:27.074751Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:26.844754Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:26.844754Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:8a9cafc27f514e3a4cd00d09767f8b15b9c47e89eebc1b24d20e01a312f5a81e","observation_id":"3928aec5-6258-4c25-94a6-b72cc6314783","resolution":{"observed_at":"2026-08-01T22:28:26.844754Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:27.238895Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:27.238895Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:9454d808a45586b839c4d268ccbe179c07dc15dddc13be0944e5227b0d2258d6","observation_id":"81cc7932-d81b-437e-a161-45d1415b8c0c","resolution":{"observed_at":"2026-08-01T22:28:27.238895Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:27.309663Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:27.309663Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:86aa6215e64b5636939962a27893d9cf7f231d91fead11e4d37ab6b57bf7eb6e","observation_id":"95fb8b7e-bac0-420b-9c21-1076d104f810","resolution":{"observed_at":"2026-08-01T22:28:27.309663Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.07666","last_updated":"2025-12-31T04:06:49Z","snapshot_observed_at":"2026-08-07T23:28:24.025478Z","submitted_at":"2024-08-14T16:58:48Z","title":"Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.07666","snapshot_observed_at":"2026-08-01T22:28:27.174753Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:27.174753Z"},"links":{"cited_paper":"/paper/2408.07666","citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:4a2c7bd7d5074e558a1c191a869f00f2ef67113ef27db413e17a5d760aa6ebd8","observation_id":"4850f622-8477-4a4d-ac70-b4112fe805ed","resolution":{"observed_at":"2026-08-01T22:28:27.174753Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.02206","last_updated":"2025-03-04T02:36:48Z","snapshot_observed_at":"2026-08-07T22:08:48.424165Z","submitted_at":"2025-03-04T02:36:48Z","title":"Language-Guided Visual Perception Disentanglement for Image Quality Assessment and Conditional Image Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.02206","snapshot_observed_at":"2026-08-01T22:28:27.554126Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:27.554126Z"},"links":{"cited_paper":"/paper/2503.02206","citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:abf78f7b72f03a453fe4f942ffb2ce323842ff48100b3907aff6dfa07489bcfa","observation_id":"8e5bf417-d69c-4b0e-a0cf-0a0294651241","resolution":{"observed_at":"2026-08-01T22:28:27.554126Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:27.634758Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:27.634758Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:0c36bfe34c802a03d252c407e62653f5d82fba3754d3b40b2b3a16113bb16849","observation_id":"5a4346aa-b7ab-4f19-b31d-66aae9de6fd2","resolution":{"observed_at":"2026-08-01T22:28:27.634758Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:27.434751Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:27.434751Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:a073cee632c1c0c9e2d0ecf5eaf50bde9b57b80f95cbbafacd7de48321369059","observation_id":"c09dff0d-99e6-4ff5-9f97-13780e912f37","resolution":{"observed_at":"2026-08-01T22:28:27.434751Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.04840","last_updated":"2024-08-13T08:10:32Z","snapshot_observed_at":"2026-07-06T18:58:39.334273Z","submitted_at":"2024-08-09T03:25:42Z","title":"mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.04840","snapshot_observed_at":"2026-08-01T22:28:27.815322Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:27.815322Z"},"links":{"cited_paper":"/paper/2408.04840","citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:691f18412944f1fbd96c135e2cdc1aacc353c2f77d8f964bbd6910f9ebc6e4fa","observation_id":"4b1d9cc7-3b82-4c1c-8637-bccc5f2dcb28","resolution":{"observed_at":"2026-08-01T22:28:27.815322Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:27.914745Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:27.914745Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:1186d676ffe0bd95fdae6604ae57af743f54f4e6b8207d4ddd1120843fc1b480","observation_id":"bc76b9e9-cced-499d-bb27-ab9ddf8ac516","resolution":{"observed_at":"2026-08-01T22:28:27.914745Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:27.744753Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:27.744753Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:f6b0cad7da8c58d5a909db0a1edd63fd9f35368416d13634833536a2a518582b","observation_id":"63c0494a-0116-4a38-89ba-c8cdfbb40d7b","resolution":{"observed_at":"2026-08-01T22:28:27.744753Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03565","last_updated":"2025-01-14T15:30:50Z","snapshot_observed_at":"2026-08-10T01:44:12.605725Z","submitted_at":"2024-04-04T16:20:34Z","title":"Personalized LLM Response Generation with Parameterized Memory Injection","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03565","snapshot_observed_at":"2026-08-01T22:28:28.334745Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:28.334745Z"},"links":{"cited_paper":"/paper/2404.03565","citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:44f89aa0009938eedc15a42e9bcbab010e594f0b89aeb9e178efbabd8bb6116b","observation_id":"194918f0-d35b-4f26-9e73-6866338f75bf","resolution":{"observed_at":"2026-08-01T22:28:28.334745Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:28.504744Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:28.504744Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:fad62f50265c0f8a12bcf1c250d766fabc1f8ca99e3f693a6c7afd8c0eb244af","observation_id":"d03ad9ea-19ff-4481-90d3-3b5c85992101","resolution":{"observed_at":"2026-08-01T22:28:28.504744Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:28.188543Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:28.188543Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:fd88cca948661747bc4db3d93e7a753163c845f51152b8404ce00fad8fff8832","observation_id":"14afaeb2-76c8-42af-a97a-9c411028ad9d","resolution":{"observed_at":"2026-08-01T22:28:28.188543Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:28.795376Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:28.795376Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:3e68d515fd733088002bd4a33a7e12ff0875c687a6b1ae4f9d1c530cf64569a0","observation_id":"9dfb1f98-5be0-45f0-8059-9e5788699a8e","resolution":{"observed_at":"2026-08-01T22:28:28.795376Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:28.860830Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:28.860830Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:cc63fb6beed72cf8a9cc76d5a8d957940cd5dad0045929badd49a98b7a539b81","observation_id":"b4d1d3d0-6f86-4c64-8bfa-fed352deda2c","resolution":{"observed_at":"2026-08-01T22:28:28.860830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.00027","last_updated":"2025-07-13T02:13:14Z","snapshot_observed_at":"2026-07-06T19:43:09.889618Z","submitted_at":"2024-10-29T04:01:11Z","title":"Personalization of Large Language Models: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.00027","snapshot_observed_at":"2026-08-01T22:28:28.595738Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:28.595738Z"},"links":{"cited_paper":"/paper/2411.00027","citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:7cbc9d1e0d4d21d6b57f3a6c9640fb753e1afdf4ed1f367c124a683219b235d4","observation_id":"1121e700-e4d7-4393-aac8-338ecff015ff","resolution":{"observed_at":"2026-08-01T22:28:28.595738Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:28.954807Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:28.954807Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:bf94c50f3e8f656737ada59e78e708a7e587aaba116942429f21c343cd7ddb94","observation_id":"5d4deb4e-bd8c-48a6-9ff8-47e3743a3f57","resolution":{"observed_at":"2026-08-01T22:28:28.954807Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:24.906917Z","title":"Advances in Neural Information Processing Systems37 (2024), 78905–78935","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:24.906917Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:21da8700a9f6efaa79e9a7abdefb1860f24ebba095158dd6dedcb2997956628b","observation_id":"55eeb226-db00-4971-b8ca-02e177e4099c","resolution":{"observed_at":"2026-08-01T22:28:24.906917Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:28:24.244746Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging","version":1},"reference_index":3910,"source":"pdf_text","source_observed_at":"2026-08-01T22:28:24.244746Z"},"links":{"citing_paper":"/paper/2607.15752"},"observation_digest":"sha256:8121cc4333f8935c687281a70424396409dcc84e9f16dad14b032c1f904a305b","observation_id":"9ce15ab5-0d80-40bb-b08e-5908bcc99874","resolution":{"observed_at":"2026-08-01T22:28:24.244746Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.15752","last_updated":"2026-07-17T08:40:18Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T22:10:22.074302Z","submitted_at":"2026-07-17T08:40:18Z","title":"Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging"},"reference_resolution":{"displayed":61,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":61,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":61},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2607.15752."}