{"as_of":"2026-08-09T20:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:eca5aa99016e6b7ad3df26a51ff473ef6d9d8d6c6dd6fbe8a32dbfcc89009ff5","coverage":[{"denominator":70,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":70,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-08T05:54:01.459744Z","state":"measured"},{"denominator":71,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":71,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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":"2026-08-03T01:56:58.763701Z","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":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2607.06440","snapshot_observed_at":"2026-08-03T01:56:58.763701Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21529","last_updated":"2026-07-31T09:23:37Z","snapshot_observed_at":"2026-08-08T03:21:15.162809Z","submitted_at":"2026-07-23T17:15:30Z","title":"ElasticTTT: Prior-Preserving Test-Time Tuning for Video Editing","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-03T01:56:58.763701Z"},"links":{"cited_paper":"/paper/2607.06440","citing_paper":"/paper/2607.21529"},"observation_digest":"sha256:51520e873b3402ad2339b9457dc3aa19cc301b371364e024d8dd7d8644f28de1","observation_id":"fa23a4b0-e730-4bd2-a76d-894fa69ec28f","resolution":{"observed_at":"2026-08-03T01:56:58.763701Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2607.06440/citation-record","integrity":"/paper/2607.06440/integrity","json":"/paper/2607.06440/citation-record.json","paper":"/paper/2607.06440"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2511.21631","last_updated":"2025-11-27T12:16:54Z","snapshot_observed_at":"2026-07-06T22:37:03.716474Z","submitted_at":"2025-11-26T17:59:08Z","title":"Qwen3-VL Technical Report","version":2},"cited_work":{"arxiv_id":"2511.21631","doi":"10.1016/j.neunet.2025.107777","metadata_source":"pith","pith_arxiv_id":"2511.21631","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Qwen3-VL Technical Report","venue":"cs.CV","work_id":"1fe243aa-e3c0-4da6-b391-4cbcfc88d5c0","year":2025},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"cited_paper":"/paper/2511.21631","citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:f63bf28e3920e4d7d762824a0f88305849e49ccdccd584f89ff87dfe1de0fc91","observation_id":"e101d044-7c58-4416-a57e-cd1454a9de8d","resolution":{"observed_at":"2026-07-08T05:54:33.472368Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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"}},{"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":"2502.13923","doi":"10.48550/arxiv.2502.13923","metadata_source":"pith","pith_arxiv_id":"2502.13923","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Qwen2.5-VL Technical Report","venue":"cs.CV","work_id":"69dffacb-bfe8-442d-be86-48624c60426f","year":2025},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"cited_paper":"/paper/2502.13923","citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:c14de354cea2b046ba02c90ce7030325f90f85e3d403bd464a8c0c79eae4fa92","observation_id":"6a9c1e84-0e69-49ad-b943-5e947672c25d","resolution":{"observed_at":"2026-07-08T05:54:33.469728Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"2026-08-08T16:08:16.864468+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-08T16:08:16.864468+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.772904Z","title":"Computer Science","venue":null,"work_id":"cfcb85d1-3b7f-488a-8a1b-f12529577aea","year":2023},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:7ce9c6d3abfdeeefb5f58b4b0c7e11b4ba23e2d9242229479fbcba5126e99fca","observation_id":"c581edaa-3040-43f8-98b4-ef5b1a1617aa","resolution":{"observed_at":"2026-07-08T05:54:33.774093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.767164Z","title":"In: Social Stratification, Class, Race, and Gender in Sociological Perspective, Second Edition, pp","venue":null,"work_id":"3f165846-10af-4c9f-ab45-b58c64f7ef63","year":2019},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:aef28351353acca9d06429e4c22d4729bdc45557b4b6e91a64c7336b36eee5b9","observation_id":"3e78cf43-35e6-4fba-aaeb-062c8b42c20a","resolution":{"observed_at":"2026-07-08T05:54:33.768393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1348/000712608x366867","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"British Journal of Psychology100(3), 501–516 (2009)","venue":"British Journal of Psychology","work_id":"18bc5e67-acb5-4620-920f-a8c7703ea451","year":2009},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:1467af19632245d52b3955d8908f50fc6f64361506a3a5b381f3570401d7d39e","observation_id":"c943a0a3-64ed-40c6-a57c-0e88ca31d8c3","resolution":{"observed_at":"2026-07-08T05:54:33.426405Z","resolver_source":"doi","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":"2026-07-10T19:49:20.390376+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-10T19:49:20.390376+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.772019Z","title":"In: Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining","venue":null,"work_id":"a1ea14d1-2fdc-4702-bf36-80b60ff75240","year":2019},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:34f82ace3daea71da31c7b247cafbd0647a8fe6e4eee3c6763c59247800952ee","observation_id":"6c70367a-596b-4293-8557-14d85b17763d","resolution":{"observed_at":"2026-07-08T05:54:33.773167Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.776855Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"62834d48-dc33-4c3e-981d-ee4f61fae20b","year":2024},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:ebe9acce94aeba748e921c3cb417e9ab3cbf76ac9a1a5d49990999f55d3265f3","observation_id":"f691a564-8608-4d87-8509-8804fc2ddaf7","resolution":{"observed_at":"2026-07-08T05:54:33.777986Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.782441Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","venue":null,"work_id":"9ccdf374-578b-4002-a2b0-9aa5ed2b66e6","year":2024},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:df9e9d12051503979b9a62360a7c7a5094cf95e59dc7c2ca6cc11f926935b651","observation_id":"9dd4ae24-e09f-407b-b895-8e4c69260613","resolution":{"observed_at":"2026-07-08T05:54:33.783760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2507.06261","last_updated":"2025-12-19T14:25:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-07-07T17:36:04Z","title":"Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities","version":6},"cited_work":{"arxiv_id":"2507.06261","doi":"10.48550/arxiv.2503.19","metadata_source":"pith","pith_arxiv_id":"2507.06261","snapshot_observed_at":"2026-07-11T03:17:51.364436Z","title":"Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities","venue":"cs.CL","work_id":"008df105-2fdd-45d8-857a-8e35868aecb6","year":2025},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"cited_paper":"/paper/2507.06261","citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:36c732f6d708d83507a9c0b2fd3f28bee6d3b270706a8d3ac380d91ebe614568","observation_id":"38b845b5-0800-4165-a58f-1c7abfc75307","resolution":{"observed_at":"2026-07-08T05:54:33.475603Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2309.15807","last_updated":"2023-09-27T17:30:19Z","snapshot_observed_at":"2026-08-02T11:54:13.342379Z","submitted_at":"2023-09-27T17:30:19Z","title":"Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack","version":1},"cited_work":{"arxiv_id":"2309.15807","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.15807","snapshot_observed_at":"2026-07-08T05:54:33.464514Z","title":"Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack","venue":"cs.CV","work_id":"ae882a46-08bc-4ec0-a38c-72bc9eec3afe","year":2023},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"cited_paper":"/paper/2309.15807","citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:6ca5e84c0ac72c0d2527b96b99108f2b43f363f552e7ace1b7f15eda1cf41a3f","observation_id":"56f315a6-6e39-43c0-ad55-b0c901e8f235","resolution":{"observed_at":"2026-07-08T05:54:33.466323Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2208.01618","last_updated":"2022-08-02T17:50:36Z","snapshot_observed_at":"2026-08-02T23:40:32.342515Z","submitted_at":"2022-08-02T17:50:36Z","title":"An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion","version":1},"cited_work":{"arxiv_id":"2208.01618","doi":"10.48550/arxiv.2208.01618","metadata_source":"pith","pith_arxiv_id":"2208.01618","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion","venue":"cs.CV","work_id":"ca618c21-3ba6-448e-bd86-bcecff3cdeb5","year":2022},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"cited_paper":"/paper/2208.01618","citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:9a29c4a74b37425bcd5d5251ebd94b94e451a37e3ef0aa5d376790e09b1d7ecd","observation_id":"58f93307-a1ce-4c72-a9aa-489d964dd917","resolution":{"observed_at":"2026-07-08T05:54:33.472658Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/s0092-","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.423571Z","title":"Hanahan, R","venue":null,"work_id":"bd901975-fdaf-4fd5-8db5-c334706ea289","year":2003},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:1d053f123992e895ec5fa51e9a423ef9d85638afee08908cca2647aa0e30b3fd","observation_id":"326b2cab-13c3-4049-9fe4-51aee9e7f942","resolution":{"observed_at":"2026-07-08T05:54:33.425646Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.774663Z","title":"Acm transactions on interactive intelligent systems (tiis)5(4), 1–19 (2015)","venue":null,"work_id":"89035049-39a9-41e4-8449-6f9a8aad2f3b","year":2015},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:20c49225652501befcbf59e2c0aeac75f5eb68efc3e41256cbbda126359edab3","observation_id":"af048588-7ea4-43b1-ba0a-ddce706d88cd","resolution":{"observed_at":"2026-07-08T05:54:33.776338Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.780639Z","title":"In: Proceedings of the 2021 conference on empirical methods in natural language processing","venue":null,"work_id":"68f013d6-1c3a-44f5-8132-88735e9833f9","year":2021},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:5aa4a1b9d56918b404361524b0c5cdc150964a2860119391ae19b11171408681","observation_id":"538a4ed6-b4bc-4ba9-b153-886517b8b62d","resolution":{"observed_at":"2026-07-08T05:54:33.781906Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.770921Z","title":"Advances in Neural Information Processing Systems37, 79889– 79908 (2024)","venue":null,"work_id":"650d36b2-bf62-48ad-afcd-227936c0a5b8","year":2024},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:b6c19c5e47104afb806a15c3ad13d230665e35501ea7483cc859ba7b118bd699","observation_id":"55eefdc3-4537-4277-b847-eef005d1eb6d","resolution":{"observed_at":"2026-07-08T05:54:33.772304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.778525Z","title":"In: Proceedings of the IEEE/CVF International Conference on Computer Vision","venue":null,"work_id":"2c57b8fd-986a-4ac2-8564-585aa97aef5d","year":2025},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:9a55267e44abe3f34585f20c2feaec7a330d6f4b8017232b5b79912515f3acd4","observation_id":"f19b2797-861e-40e3-9245-ec510b0f4cfe","resolution":{"observed_at":"2026-07-08T05:54:33.780097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.825438Z","title":"In: Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S","venue":null,"work_id":"19738eb3-0fd2-417a-ac9c-96ec6accdbc1","year":2023},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:38c93ab5ccbc6ba27a9bae9fac17d0b0cc33c8e1e49d9b0c78384cd801a3ac59","observation_id":"c61a58db-fa24-4060-bb49-74f74907912f","resolution":{"observed_at":"2026-07-08T05:54:33.826658Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.798310Z","title":null,"venue":null,"work_id":"d9002b98-6d13-4a2d-a4f2-d4d36349c046","year":2025},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:e1ac0eef5920dcabd425b91f6855f4f19c79ffb59dd5b4fdb54db5abab778b3e","observation_id":"0fc40138-4bb7-4739-a3b5-db2193c5f647","resolution":{"observed_at":"2026-07-08T05:54:33.799916Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.796230Z","title":"Motivation and Emotion31(1), 5–11 (2007)","venue":null,"work_id":"f11be180-505f-4342-b82b-35b4301029a3","year":2007},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:fb40b56dd0e8c0ccae9b132f8b98e980b0bd7fc23729de99fe4ca48466767be6","observation_id":"ddc9f290-babd-4130-9f5d-57964706271b","resolution":{"observed_at":"2026-07-08T05:54:33.797774Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.829556Z","title":null,"venue":null,"work_id":"2ba0ecd2-6d26-49a0-a7ac-028c4278723a","year":2025},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:524f7db41ea0c0f5373486bc875bbdd221e23f2de704d733414a7d26fbf79414","observation_id":"5d45906e-a742-4ec3-8592-c13062a4db60","resolution":{"observed_at":"2026-07-08T05:54:33.830655Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2512.06020","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.488465Z","title":"Amit Moryossef and Mathias Müller","venue":null,"work_id":"f0503591-0d82-400a-bcd6-022f2817ecc9","year":2025},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:63b7e6e9a6c22cc97da2320d6c47e27c294d640ff5e68f6f43a6e114731139f2","observation_id":"ccf5e217-6da1-4cca-9c06-7682bf132879","resolution":{"observed_at":"2026-07-08T05:54:33.490000Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2304.07193","last_updated":"2024-02-02T10:24:09Z","snapshot_observed_at":"2026-08-09T18:02:17.307812Z","submitted_at":"2023-04-14T15:12:19Z","title":"DINOv2: Learning Robust Visual Features without Supervision","version":2},"cited_work":{"arxiv_id":"2304.07193","doi":"10.48550/arxiv.2304.07193","metadata_source":"pith","pith_arxiv_id":"2304.07193","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"DINOv2: Learning Robust Visual Features without Supervision","venue":"cs.CV","work_id":"26b304e5-b54a-4f26-be7e-83299eca52e4","year":2023},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"cited_paper":"/paper/2304.07193","citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:edbb1b35e583ef140dfab6e96f6a81d5540d35a6f03429173126759274a3a43b","observation_id":"39d1abdd-7643-4a20-b40f-1ffdfa00f796","resolution":{"observed_at":"2026-07-08T05:54:33.492542Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1073/pnas.0906172107","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Proceedings of the National Academy of Sciences107(19), 8877–8882 (2010)","venue":"Proceedings of the National Academy of Sciences","work_id":"99c330ac-b8fc-435f-b867-07a577b463e6","year":2010},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:ca4068ec8728b90ab8364448f5df0ed88cf269e9e838339270cc39a553141e58","observation_id":"09897213-30ab-4e49-8ce5-3948fe3bf6d9","resolution":{"observed_at":"2026-07-08T05:54:33.444184Z","resolver_source":"doi","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":"2026-07-10T19:49:20.645357+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-10T19:49:20.645357+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.800659Z","title":"In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)","venue":null,"work_id":"aa9f3183-09b4-4d66-8cc4-2e659172ab89","year":2085},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:7856a1439bb0c9b34576bbc81f17f69e056825919af387afd1081b551441662a","observation_id":"7c44fe1d-cdb0-499b-9ba1-618ae4ca10fb","resolution":{"observed_at":"2026-07-08T05:54:33.802221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.783641Z","title":"In: Yue, Y., Garg, A., Peng, N., Sha, F., Yu, R","venue":null,"work_id":"4af80e9f-67d4-4488-91fc-0a9af9a89c1f","year":2025},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:8727a3a533ac110c735e47442f9fe1168b091a89383694c43a33a68b22cad827","observation_id":"7599e25c-e03b-467c-87c9-34ce3fe434ec","resolution":{"observed_at":"2026-07-08T05:54:33.784805Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.817688Z","title":null,"venue":null,"work_id":"758c5d65-6708-4521-a7dd-c73cc02e5bc9","year":2022},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:9280cd2915f74a2eb35356c57a92f27c714b5bcb0f3f05e4a33ecee07796b834","observation_id":"3db629f4-d2d0-4eff-a794-624439100b21","resolution":{"observed_at":"2026-07-08T05:54:33.819018Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.808948Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"cce5f798-9ab1-4ae1-92bc-72dcd98139e9","year":2023},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:d46e8bcc41203f049b43326dd98b02336c47d5610675acb3aa598c9200592936","observation_id":"30a6a7cb-1d6d-41e4-9300-ad38c17cbf79","resolution":{"observed_at":"2026-07-08T05:54:33.810379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1037/h0077714","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A Circumplex Model of Affect","venue":"Journal of Personality and Social Psychology","work_id":"9607db99-fe92-4979-a8b4-69035b3898c4","year":1980},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:7cc61cd15b50dd4281d52fea9d3864c1669829496067309bd973986ca4c55143","observation_id":"0cf84f11-fbbc-40ab-8e8d-1768f193509e","resolution":{"observed_at":"2026-07-08T05:54:33.441684Z","resolver_source":"doi","status":"metadata_mismatch"},"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":"2026-07-10T19:49:20.942148+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-10T19:49:20.942148+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.802056Z","title":"In: Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K., Oh, A","venue":null,"work_id":"c29d4df9-f237-4645-9fd2-86a87f8767c2","year":2022},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:54c0c58c72a7fa7ed7ec48ee2a04e6205c84e8084c4cf6754604af686148f651","observation_id":"e6f4e62b-236c-4fe1-9c18-52c4095ceadb","resolution":{"observed_at":"2026-07-08T05:54:33.803267Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.821805Z","title":"In: European Conference on Computer Vision","venue":null,"work_id":"38a23ce1-e4ba-458b-b6de-f5a5346e84ce","year":2024},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:015a89873852e69d3364268a98faf8082d9339f48d0ee42a85d21d9c44258967","observation_id":"e6473f40-2fce-4d0d-9729-b79f0a2e465e","resolution":{"observed_at":"2026-07-08T05:54:33.823114Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.792696Z","title":"Online Readings in Psychology and Culture2(1) (12 2012)","venue":null,"work_id":"b9d196ed-af0f-4172-9522-2482ff4f9cdb","year":2012},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:ed0e86a71cd4f74d8750e581a77871f378f712ed5ef159fa6be9102728680843","observation_id":"fd7c6afb-7292-4d86-bc72-f30ce8fa1dc7","resolution":{"observed_at":"2026-07-08T05:54:33.793930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2601.03267","last_updated":"2026-05-01T23:55:43Z","snapshot_observed_at":"2026-08-02T10:52:10.211700Z","submitted_at":"2025-12-19T07:05:38Z","title":"OpenAI GPT-5 System Card","version":2},"cited_work":{"arxiv_id":"2601.03267","doi":"10.48550/arxiv.2601.03267","metadata_source":"pith","pith_arxiv_id":"2601.03267","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"OpenAI GPT-5 System Card","venue":"cs.CL","work_id":"ca87689a-0d29-4476-b504-b65dbbb08af4","year":2025},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"cited_paper":"/paper/2601.03267","citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:f641b6b2c760e0380bc46c3985e6af2b394cb7c19434e912caf9d0667aef5af4","observation_id":"20d66833-ed89-4759-a119-12c4bf60ab64","resolution":{"observed_at":"2026-07-08T05:54:33.484079Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"2026-08-03T00:38:11.458508+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-03T00:38:11.458508+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"obo/9780199","doi":"10.1093/obo/9780199828340-0120","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"In: Oxford Bibliographies in Psychology","venue":"Psychology","work_id":"1f314961-65cf-40a6-9968-fc6758ff7633","year":2020},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:f8bee8a35080fe4057a980720dbab6a2c931a13976e7a1c8d3ee2044f86a1d84","observation_id":"63201c6e-2a84-4702-a3eb-d87586ead247","resolution":{"observed_at":"2026-07-08T05:54:33.439884Z","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":"2026-07-10T19:49:21.333568+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-10T19:49:21.333568+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.823686Z","title":"In: European Conference on Computer Vision","venue":null,"work_id":"1ad1dd75-a7eb-46be-a314-dc2a663a2f6e","year":2024},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:d669049f20c224980e45643e630767753b3ef013de554dd07a39fee0bca59341","observation_id":"d0b8b927-2e1a-4293-b0fa-df4b34e17adc","resolution":{"observed_at":"2026-07-08T05:54:33.824875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2508.02324","last_updated":"2025-08-04T11:49:20Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-08-04T11:49:20Z","title":"Qwen-Image Technical Report","version":1},"cited_work":{"arxiv_id":"2508.02324","doi":"10.48550/arxiv.2508.02324","metadata_source":"pith","pith_arxiv_id":"2508.02324","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Qwen-Image Technical Report","venue":"cs.CV","work_id":"d06d7ecc-7579-4f89-a60b-4278a0f3c562","year":2025},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"cited_paper":"/paper/2508.02324","citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:f4d411bd748095aa5e657e505241ac36cf92ebd2960100574a25159836c266f5","observation_id":"0f502537-b779-4b3f-b530-6694575f0cd4","resolution":{"observed_at":"2026-07-08T05:54:33.487137Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"2026-05-21T15:23:05.016381+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T15:23:05.016381+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.827179Z","title":"In: Proceedings of the 37th International Conference on Neural Information Processing Systems","venue":null,"work_id":"045a8c89-c069-4015-8f54-548a5255c1a8","year":2023},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:ec85b14c7b56009fe481268dbbed71e5689ca39abe5965cac9d7978405c0a399","observation_id":"854dab44-9e40-4aca-9932-674a578e4110","resolution":{"observed_at":"2026-07-08T05:54:33.828690Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14074","last_updated":"2025-06-05T18:48:53Z","snapshot_observed_at":"2026-08-07T18:03:49.757094Z","submitted_at":"2025-02-19T19:59:16Z","title":"Investigating Non-Transitivity in LLM-as-a-Judge","version":3},"cited_work":{"arxiv_id":"2502.14074","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.14074","snapshot_observed_at":"2026-07-08T05:54:33.484727Z","title":"Investigating Non-Transitivity in LLM-as-a-Judge","venue":"cs.AI","work_id":"5b357212-025e-427a-a120-99ce56db842b","year":2025},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"cited_paper":"/paper/2502.14074","citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:d298288b3f545696bce862f7843cd8f23933272f12c0c012729ea21edbb5cd26","observation_id":"753c7ee6-e772-484e-8af7-614f34ac4522","resolution":{"observed_at":"2026-07-08T05:54:33.486229Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.806807Z","title":"In: Proceedings of the ACM on Web Conference 2025","venue":null,"work_id":"a6f3b6f1-e743-4722-963e-78ba76ab245c","year":2025},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:6864b31b07d323cbd0a7a6b130e557f40e92467694e3724fa5c0fa208be68f4c","observation_id":"1a43cb7a-4ab1-4efb-bfdf-779a06fac966","resolution":{"observed_at":"2026-07-08T05:54:33.808173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.817439Z","title":"In: CVPR (2018) College of AI, Tsinghua University | 16","venue":null,"work_id":"43038e06-6020-417b-ac63-ea3b1d142c56","year":2018},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:b55c54928fe91d0809d967a9a3e3325fcb61bd01d0ce8ae1f7f8fba15769abf1","observation_id":"d13976ac-1cca-4547-897a-0f5495c6d39e","resolution":{"observed_at":"2026-07-08T05:54:33.818813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1609/aaai.v38i7.28570","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","work_id":"0459c373-cb9e-4b08-97b6-3d4b47bfbd20","year":2024},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:684cc6fc22adbb7cb770d01234c5ab6bdd707887535a89f4b831fa840c2f6974","observation_id":"509cd294-f696-474d-ba8c-b00fb645df9d","resolution":{"observed_at":"2026-07-08T05:54:33.430509Z","resolver_source":"doi","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":"2026-07-10T19:49:21.597574+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-10T19:49:21.597574+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.814868Z","title":null,"venue":null,"work_id":"0d41e48e-36f7-4582-8959-8153beb2be3f","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:5e510d4bd183e4be7751ff2e1ff4d50ea32487217237287da3aa81e98d445933","observation_id":"2305fb3f-f8db-4250-aadf-36b11443ff5d","resolution":{"observed_at":"2026-07-08T05:54:33.816843Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.819377Z","title":"Laid-back","venue":null,"work_id":"c5a4335d-607c-4345-97ad-27de17809b28","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:568eabdf13d4b7a02535f59084d36bdea0583570a2cff4350af309dc741d34bd","observation_id":"74747598-18f6-44f8-8094-0c3bd5d1c8b7","resolution":{"observed_at":"2026-07-08T05:54:33.821064Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.802834Z","title":null,"venue":null,"work_id":"8e913e81-43d3-411d-bd90-9bfd2a0873a3","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:b73f24cc2ca6793d1e397658c900fe20601f469f19ec278d1d9bde40b4465e9f","observation_id":"c2c0e237-e236-4f8a-99b6-5a902c360e98","resolution":{"observed_at":"2026-07-08T05:54:33.804167Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.807559Z","title":null,"venue":null,"work_id":"767d7cba-ae50-41d9-b79a-965542db5872","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:ccb1bb2ee0063df980ce743bd256cde1330d42bcb46054d43324be85a9f1ed5d","observation_id":"526c4f3a-8e73-4011-a177-ef1c03a5c8e2","resolution":{"observed_at":"2026-07-08T05:54:33.808741Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.813053Z","title":null,"venue":null,"work_id":"7bbadba9-b15e-42b1-b790-4d80925f5a98","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:f436da36605738192ebecbfb8348aa3755acda321560c4f4326b9c5504982935","observation_id":"b6725cd0-c83a-439b-b6cc-31f5f79269fa","resolution":{"observed_at":"2026-07-08T05:54:33.814273Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.793660Z","title":null,"venue":null,"work_id":"66c1dc98-912a-4409-b91a-f26bf7124a42","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:b0516b22bd89cfef1987a00e1b1481368f8e32c3be03239968ea46781804fb2a","observation_id":"80b7e73e-bbf6-4fb1-a271-5fa53a52cf35","resolution":{"observed_at":"2026-07-08T05:54:33.795057Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.810979Z","title":null,"venue":null,"work_id":"3e2fdad8-d025-48b1-85e3-5027774b9ecb","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:900be64779bf25677f6c9445b5e6f6c9eba90f0a173a16a739de4e255baa0dd2","observation_id":"2ce01f27-de5e-4cbd-bc92-cedec4342384","resolution":{"observed_at":"2026-07-08T05:54:33.812222Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.731660Z","title":null,"venue":null,"work_id":"768b3ddc-9c5f-47dd-83bc-73dc33b0dfdc","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:b61413f60fd75efb5c51bd271df88460c257b3e5fa93d2ea6ed47ca2a060e7c4","observation_id":"e1b0e94b-731b-48d7-ab00-e8113e08c51c","resolution":{"observed_at":"2026-07-08T05:54:33.733429Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.760403Z","title":null,"venue":null,"work_id":"ea1a30d0-9733-47b7-91dc-355a2c4b141f","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:59a547ef10462f120b2b62766cea64df427f69a4781e4fe886e1c22ec224de93","observation_id":"ccf24f03-886c-4b2d-a045-ea32498638ed","resolution":{"observed_at":"2026-07-08T05:54:33.761485Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.755046Z","title":"I see myself as curious and open to new experiences","venue":null,"work_id":"83b54597-dcd5-4ff0-a88f-4afc1a664068","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:68839f40fa5b73ee06ac72e9166055674a070c7434a57f23251d59d15beb587b","observation_id":"d3451ab8-a0b0-47cf-b3bf-8ddf6ce9d761","resolution":{"observed_at":"2026-07-08T05:54:33.756322Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.727171Z","title":"I see myself as rigid in thinking and lacking creativity","venue":null,"work_id":"8cfdfe4d-9ee8-4933-8bf4-4b8852ff7707","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:c4546bb715063f6d520d848cbcbd8cac817ae2b0e3d54fd68599d1280a10d448","observation_id":"9fce34e4-7c2f-4774-9348-45177ad4b784","resolution":{"observed_at":"2026-07-08T05:54:33.728634Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.763018Z","title":null,"venue":null,"work_id":"54bdea32-4ce0-4708-9c7f-6d366420e200","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:25fbe330725b6107b14458010d8285e6a123ff1e8befeecd683d3023d92e0c57","observation_id":"601a49a8-048a-42de-b3e1-4fa7909d85f8","resolution":{"observed_at":"2026-07-08T05:54:33.764399Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.745477Z","title":null,"venue":null,"work_id":"eb138b87-37fa-4632-9480-674ce5424588","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:8e3ae494aa27784cfae35cece6ff9c94cac1ed63aa86194e016b01a13deebaee","observation_id":"fb2e70e4-a115-4504-ac0c-f572634d91a3","resolution":{"observed_at":"2026-07-08T05:54:33.746769Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.753539Z","title":null,"venue":null,"work_id":"71b4086f-c083-4259-a52a-4a5aaa382773","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:5ac1efd24d873a45754bd5fa56237872dff4fd51aa37f13a4d03a3d15ee322bb","observation_id":"c55ef666-90ef-4f17-99f6-3bf5d1c4bd2a","resolution":{"observed_at":"2026-07-08T05:54:33.754691Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.747749Z","title":null,"venue":null,"work_id":"cf788a0e-875a-4258-ba96-0f579c80b94e","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:164a1a77bad30a6a71cac7ca7d3681a36bd8b3078f383a870d4448ccd729e077","observation_id":"560bcff7-cc0d-40c1-b479-b3eeb302d572","resolution":{"observed_at":"2026-07-08T05:54:33.748989Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.756903Z","title":"minimalist and functional,","venue":null,"work_id":"192303f1-e955-4521-9db4-f1e8422d117f","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:f2656862d4b7d14f42e6c61f70b5b0bde0b8dab02bc1fcdd432dcb76b7291b51","observation_id":"8e95ae1d-f7cd-44e6-ada1-3f71368c8a71","resolution":{"observed_at":"2026-07-08T05:54:33.758120Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.726883Z","title":null,"venue":null,"work_id":"4b821783-32fb-46bd-a761-ace283094552","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:ec2b6d9fe6e2f1b6bfbcbc521a4ab2f90270972e91283365c07ceedb6c906c2e","observation_id":"50675731-605b-484d-97ab-9e7a76bab6c4","resolution":{"observed_at":"2026-07-08T05:54:33.728458Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.753432Z","title":null,"venue":null,"work_id":"638d9a1f-627a-47a1-8a3d-a99dfc610cdb","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:25f804c10a7f517e64c972990a77436ce261249191531a38b4b5b8eec7be9ef6","observation_id":"946a1edb-2764-49bb-8e97-61dd5f1489a9","resolution":{"observed_at":"2026-07-08T05:54:33.754528Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.751273Z","title":"When a new candidate is generated, its signature is compared against those of the most recent 200 accepted agents","venue":null,"work_id":"0ff58eda-f6cf-40e3-99f0-8986e1c6da7b","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:d573636caf015add0745b64707eec5c37f2befcb07ee2dfe5819e4bf50fa3800","observation_id":"044b2529-1e83-43bd-897f-6ef82fa44d16","resolution":{"observed_at":"2026-07-08T05:54:33.752826Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.749732Z","title":null,"venue":null,"work_id":"7c43a292-e1c5-401d-b96a-cc24d602b845","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:8ac1ea8518bbd71423ea650a5226d1e03e429e06c16e0ef323f03d14cfd9cac3","observation_id":"7f27ea42-340b-49a1-b016-df0b98a6486a","resolution":{"observed_at":"2026-07-08T05:54:33.751041Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.734282Z","title":null,"venue":null,"work_id":"e7fdddf7-a7f9-4ca9-ad74-49b83155a7ca","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:834aaf01074b654cec8bbe6a86aa922726ec058c1dd8c81fb87e06219f42490b","observation_id":"89920ba1-9841-4788-81b9-69d47231b4f3","resolution":{"observed_at":"2026-07-08T05:54:33.736116Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.749267Z","title":null,"venue":null,"work_id":"6331a689-0087-42b0-bf19-4471a7075ee1","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:dca185adf67a381eb22601f89593835dda632c6886176190c1fae37d870aa362","observation_id":"7a355ad4-ec96-494b-94c1-12a99413937d","resolution":{"observed_at":"2026-07-08T05:54:33.750680Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.758656Z","title":null,"venue":null,"work_id":"efa5036c-0d95-4e88-b52b-4898066e821d","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:169ab1e49b0d6252ea9b614252c2950e0dd32cc290583b115bb2fa0ff4a43e98","observation_id":"798abd7d-43f8-422d-97d8-bc7df5db4ed6","resolution":{"observed_at":"2026-07-08T05:54:33.759823Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.757113Z","title":null,"venue":null,"work_id":"1ffa6bad-80be-4a52-9015-ac5340682aa4","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:139535eba5b0a5c3a7b97ab2f8aa71d1eb42788813cf6cf21f9ad79d5909dcaa","observation_id":"2c92b668-9ed8-415f-8c57-7184e6fa3558","resolution":{"observed_at":"2026-07-08T05:54:33.758310Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.725233Z","title":null,"venue":null,"work_id":"593aa882-c7de-49b9-b6bd-f8c49db4e8a2","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:a95c8fefd849f63b7216d4e334201be77c42c199d7fb3339a3a85e41d4b1f5a8","observation_id":"9db4c704-4c86-4b92-a767-a0078692e16d","resolution":{"observed_at":"2026-07-08T05:54:33.726505Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.739561Z","title":null,"venue":null,"work_id":"bf2fc34e-f631-4ec2-88e1-7a289de05830","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:36fcd3d39620a56aa86ca2645f925519fcf1ed7e1f63ab9ebae9f7d50f2572cd","observation_id":"068b959a-4159-4584-b0f9-36698278ba40","resolution":{"observed_at":"2026-07-08T05:54:33.740975Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.747395Z","title":null,"venue":null,"work_id":"cb3277ae-3eb5-4a5f-af52-4eae6aae809a","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:102d7061486b136bc573032e3d6a81c3398255d4c8d0235bdaef4e0fc44202ff","observation_id":"2a175332-bb24-49b2-ab20-acd02665609b","resolution":{"observed_at":"2026-07-08T05:54:33.748697Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.765017Z","title":"Campus Roles: .../ Living Space Style: .../ Color Preferences:","venue":null,"work_id":"8d7c8da7-acd2-4907-bbc3-f8f2b4c33548","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:0d497e5cef660ce2343638bf231eac2a243e9985e5f4cca06e6bb0cbfb61c847","observation_id":"0fad3dd6-fea3-4f43-aeff-934b105377c5","resolution":{"observed_at":"2026-07-08T05:54:33.766398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.745675Z","title":null,"venue":null,"work_id":"58ac3848-2847-4f99-bb0b-62ce8fb431da","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:b75ae838f2fa0ba0782aa8f9306d5b0bc96207d8d9a46b48a826efaa9796ee02","observation_id":"3808c206-25b6-4a80-a02e-f778aa9fc56c","resolution":{"observed_at":"2026-07-08T05:54:33.747003Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:54:33.751636Z","title":"User-preferred","venue":null,"work_id":"ef4f7ce1-adf8-488a-91df-941abc7f593f","year":null},"citing_paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-07-08T05:54:01.459744Z"},"links":{"citing_paper":"/paper/2607.06440"},"observation_digest":"sha256:a9a971ec1ecb12ae6cb00a7dfccdb6a120947eb1b0104242132068cc7458ab84","observation_id":"a35cd2f8-231e-4dcf-a588-c263efdf96b6","resolution":{"observed_at":"2026-07-08T05:54:33.753001Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}}],"paper":{"arxiv_id":"2607.06440","last_updated":"2026-07-07T16:09:30Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T14:14:13.638817Z","submitted_at":"2026-07-07T16:09:30Z","title":"PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation"},"reference_resolution":{"displayed":70,"state_counts":{"malformed_identifier":2,"metadata_mismatch":11,"parse_uncertain":0,"unresolved":25,"verified_exact":4,"verified_fuzzy":28},"total_outbound_references":70},"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 70 of 70 outbound references and 1 inbound Pith citation observation for arXiv:2607.06440."}