{"as_of":"2026-08-07T11:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dc3769af9df8ccb0a157b78bf346fb0e322fa1dd206a6e6e4320ba02d86982b7","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":21,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":21,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:18:26.877834Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.07209","last_updated":"2025-03-04T06:21:26Z","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T12:32:53Z","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance","version":3},"cited_work":{"arxiv_id":"2406.07209","doi":"10.48550/arxiv.2406.07209","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07209","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Yi Wang, Yinan He, Yizhuo Li, Kunchang Li, Jiashuo Yu, Xin Ma, Xinhao Li, Guo Chen, Xinyuan Chen, Yaohui Wang, et al","venue":"arXiv (Cornell University)","work_id":"273757ff-d85e-4208-bb7c-e5881a8119e4","year":2025},"citing_paper":{"arxiv_id":"2412.04300","last_updated":"2025-06-04T03:29:18Z","snapshot_observed_at":"2026-08-02T07:59:46.765003Z","submitted_at":"2024-12-05T16:21:01Z","title":"T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts","version":3},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-05-23T08:00:12.781392Z"},"links":{"cited_paper":"/paper/2406.07209","citing_paper":"/paper/2412.04300"},"observation_digest":"sha256:de7a84877236f1b4413e178cc736300b480c11d2a8c061444a752f4e37c1e55c","observation_id":"f2f202ca-55c7-436d-ad5d-3d1d62dda530","resolution":{"observed_at":"2026-05-23T08:02:43.066441Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07209","last_updated":"2025-03-04T06:21:26Z","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T12:32:53Z","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance","version":3},"cited_work":{"arxiv_id":"2406.07209","doi":"10.48550/arxiv.2406.07209","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07209","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Yi Wang, Yinan He, Yizhuo Li, Kunchang Li, Jiashuo Yu, Xin Ma, Xinhao Li, Guo Chen, Xinyuan Chen, Yaohui Wang, et al","venue":"arXiv (Cornell University)","work_id":"273757ff-d85e-4208-bb7c-e5881a8119e4","year":2025},"citing_paper":{"arxiv_id":"2504.15958","last_updated":"2026-04-06T07:28:38Z","snapshot_observed_at":"2026-08-06T06:03:56.041460Z","submitted_at":"2025-04-22T14:55:23Z","title":"FreeGraftor: Training-Free Cross-Image Feature Grafting for Subject-Driven Text-to-Image Generation","version":5},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-22T18:09:50.633826Z"},"links":{"cited_paper":"/paper/2406.07209","citing_paper":"/paper/2504.15958"},"observation_digest":"sha256:5fb4513bfd6746cc0315084053a1e267f2be6a8d370816cc086c0dba198d30b8","observation_id":"a2edb817-dc78-4de9-b11b-ba4f2366217b","resolution":{"observed_at":"2026-05-22T18:11:54.549732Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07209","last_updated":"2025-03-04T06:21:26Z","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T12:32:53Z","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance","version":3},"cited_work":{"arxiv_id":"2406.07209","doi":"10.48550/arxiv.2406.07209","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07209","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Yi Wang, Yinan He, Yizhuo Li, Kunchang Li, Jiashuo Yu, Xin Ma, Xinhao Li, Guo Chen, Xinyuan Chen, Yaohui Wang, et al","venue":"arXiv (Cornell University)","work_id":"273757ff-d85e-4208-bb7c-e5881a8119e4","year":2025},"citing_paper":{"arxiv_id":"2504.17816","last_updated":"2026-05-05T15:27:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-23T06:48:31Z","title":"Learning Zero-Shot Subject-Driven Video Generation Using 1% Compute","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-22T17:51:41.947939Z"},"links":{"cited_paper":"/paper/2406.07209","citing_paper":"/paper/2504.17816"},"observation_digest":"sha256:3c33d2b2bd7a1d1d8a3b219003af28c029411a645a3c107ba60840e48894776c","observation_id":"471aa53f-5e5b-4900-9b34-b71aad0147e2","resolution":{"observed_at":"2026-05-22T17:51:54.324109Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07209","last_updated":"2025-03-04T06:21:26Z","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T12:32:53Z","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07209","snapshot_observed_at":"2026-08-07T10:18:26.877834Z","title":"Ms-diffusion: Multi-subject zero-shot image personalization with layout guidance","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05843","last_updated":"2025-06-06T08:00:49Z","snapshot_observed_at":"2026-08-07T10:11:02.706507Z","submitted_at":"2025-06-06T08:00:49Z","title":"FontAdapter: Instant Font Adaptation in Visual Text Generation","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T10:18:26.877834Z"},"links":{"cited_paper":"/paper/2406.07209","citing_paper":"/paper/2506.05843"},"observation_digest":"sha256:16c83c22d04c3a51d84f121074e1c2609b2f9e43f38383801b5d3035a9781104","observation_id":"1a75200a-4fdf-459b-8c8a-150a57d29d68","resolution":{"observed_at":"2026-08-07T10:18:26.877834Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07209","last_updated":"2025-03-04T06:21:26Z","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T12:32:53Z","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07209","snapshot_observed_at":"2026-08-06T20:46:25.145387Z","title":"Ms-diffusion: Multi- subject zero-shot image personalization with layout guidance","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.01792","last_updated":"2025-07-02T15:16:59Z","snapshot_observed_at":"2026-08-06T20:40:19.287339Z","submitted_at":"2025-07-02T15:16:59Z","title":"FreeLoRA: Enabling Training-Free LoRA Fusion for Autoregressive Multi-Subject Personalization","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:25.145387Z"},"links":{"cited_paper":"/paper/2406.07209","citing_paper":"/paper/2507.01792"},"observation_digest":"sha256:b991e586a14f3d843be3f9b1f764c7cf16c1fd037cb395d21479f0a58c758575","observation_id":"01d4ffab-c112-4897-a612-a5bcaabc56c8","resolution":{"observed_at":"2026-08-06T20:46:25.145387Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07209","last_updated":"2025-03-04T06:21:26Z","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T12:32:53Z","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07209","snapshot_observed_at":"2026-08-06T15:42:23.898097Z","title":"Wang, Siming Fu, Qihan Huang, Wanggui He, and Hao Jiang","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.15249","last_updated":"2025-07-21T05:15:45Z","snapshot_observed_at":"2026-08-07T00:06:52.525475Z","submitted_at":"2025-07-21T05:15:45Z","title":"FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T15:42:23.898097Z"},"links":{"cited_paper":"/paper/2406.07209","citing_paper":"/paper/2507.15249"},"observation_digest":"sha256:52ba0e038bc2e561ccc0bbd4766dbe0605b559e036f382b2b4b886da4bcd0336","observation_id":"961c9dc6-24ff-43a8-8f69-930a481a52df","resolution":{"observed_at":"2026-08-06T15:42:23.898097Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07209","last_updated":"2025-03-04T06:21:26Z","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T12:32:53Z","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07209","snapshot_observed_at":"2026-08-05T18:37:22.326432Z","title":"Ms-diffusion: Multi-subject zero-shot im- age personalization with layout guidance","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.14441","last_updated":"2025-08-20T05:53:05Z","snapshot_observed_at":"2026-08-05T18:37:15.366913Z","submitted_at":"2025-08-20T05:53:05Z","title":"FBI: Learning Dexterous In-hand Manipulation with Dynamic Visuotactile Shortcut Policy","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-05T18:37:22.326432Z"},"links":{"cited_paper":"/paper/2406.07209","citing_paper":"/paper/2508.14441"},"observation_digest":"sha256:057fcdb7740839ce974d54e16b8faef490646d4d258ecdf9dd7b5053469c3fa1","observation_id":"8ae67de0-cdcb-48a3-91c3-d219d47017c6","resolution":{"observed_at":"2026-08-05T18:37:22.326432Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07209","last_updated":"2025-03-04T06:21:26Z","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T12:32:53Z","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07209","snapshot_observed_at":"2026-08-05T17:42:59.002057Z","title":"Ms-diffusion: Multi-subject zero-shot image personalization with layout guidance","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.16212","last_updated":"2025-08-25T03:07:02Z","snapshot_observed_at":"2026-08-05T17:35:52.891665Z","submitted_at":"2025-08-22T08:36:58Z","title":"OmniCache: A Trajectory-Oriented Global Perspective on Training-Free Cache Reuse for Diffusion Transformer Models","version":2},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-05T17:42:59.002057Z"},"links":{"cited_paper":"/paper/2406.07209","citing_paper":"/paper/2508.16212"},"observation_digest":"sha256:acc6ab91e7009dc9368a47f749f7e4c6a8edab102234bac3e4938fb706bf3117","observation_id":"1e93c7eb-55eb-448e-8970-9f027a610277","resolution":{"observed_at":"2026-08-05T17:42:59.002057Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07209","last_updated":"2025-03-04T06:21:26Z","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T12:32:53Z","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07209","snapshot_observed_at":"2026-08-04T23:06:09.104752Z","title":"Ms-diffusion: Multi-subject zero-shot image personalization with layout guidance.arXiv preprint arXiv:2406.07209, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.06818","last_updated":"2025-09-08T15:54:55Z","snapshot_observed_at":"2026-08-07T03:29:53.530054Z","submitted_at":"2025-09-08T15:54:55Z","title":"UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T23:06:09.104752Z"},"links":{"cited_paper":"/paper/2406.07209","citing_paper":"/paper/2509.06818"},"observation_digest":"sha256:e3bd4d914073d5a0da9f5c154a00b1f54d84bbf85a5f79c98005da134dd57b65","observation_id":"e1af5e4c-63e2-45e3-bca6-ec8d16b5a907","resolution":{"observed_at":"2026-08-04T23:06:09.104752Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07209","last_updated":"2025-03-04T06:21:26Z","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T12:32:53Z","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance","version":3},"cited_work":{"arxiv_id":"2406.07209","doi":"10.48550/arxiv.2406.07209","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07209","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Yi Wang, Yinan He, Yizhuo Li, Kunchang Li, Jiashuo Yu, Xin Ma, Xinhao Li, Guo Chen, Xinyuan Chen, Yaohui Wang, et al","venue":"arXiv (Cornell University)","work_id":"273757ff-d85e-4208-bb7c-e5881a8119e4","year":2025},"citing_paper":{"arxiv_id":"2509.16702","last_updated":"2026-04-27T07:06:51Z","snapshot_observed_at":"2026-08-02T09:03:27.739361Z","submitted_at":"2025-09-20T14:09:48Z","title":"Animalbooth: multimodal feature enhancement for animal subject personalization","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-18T15:08:36.365653Z"},"links":{"cited_paper":"/paper/2406.07209","citing_paper":"/paper/2509.16702"},"observation_digest":"sha256:fac50c65fb8f98da1ee59a568d63bd12b274294f469cee3094d1f34c1258f8bd","observation_id":"3edebac2-ca7b-45fa-981c-ffb08a5d2651","resolution":{"observed_at":"2026-05-18T15:11:32.545104Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07209","last_updated":"2025-03-04T06:21:26Z","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T12:32:53Z","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance","version":3},"cited_work":{"arxiv_id":"2406.07209","doi":"10.48550/arxiv.2406.07209","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07209","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Yi Wang, Yinan He, Yizhuo Li, Kunchang Li, Jiashuo Yu, Xin Ma, Xinhao Li, Guo Chen, Xinyuan Chen, Yaohui Wang, et al","venue":"arXiv (Cornell University)","work_id":"273757ff-d85e-4208-bb7c-e5881a8119e4","year":2025},"citing_paper":{"arxiv_id":"2512.01236","last_updated":"2026-04-09T08:04:17Z","snapshot_observed_at":"2026-08-02T07:28:05.240599Z","submitted_at":"2025-12-01T03:25:49Z","title":"PSR: Scaling Multi-Subject Personalized Image Generation with Pairwise Subject-Consistency Rewards","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-17T03:49:05.489626Z"},"links":{"cited_paper":"/paper/2406.07209","citing_paper":"/paper/2512.01236"},"observation_digest":"sha256:f268561f814e368dec4504bf4c610b3b4795c22ff855c4c7cef56a5bfcded92d","observation_id":"3c035540-f3ff-47d4-b4c3-b9d9e80a53da","resolution":{"observed_at":"2026-05-17T03:51:29.447762Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07209","last_updated":"2025-03-04T06:21:26Z","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T12:32:53Z","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance","version":3},"cited_work":{"arxiv_id":"2406.07209","doi":"10.48550/arxiv.2406.07209","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07209","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Yi Wang, Yinan He, Yizhuo Li, Kunchang Li, Jiashuo Yu, Xin Ma, Xinhao Li, Guo Chen, Xinyuan Chen, Yaohui Wang, et al","venue":"arXiv (Cornell University)","work_id":"273757ff-d85e-4208-bb7c-e5881a8119e4","year":2025},"citing_paper":{"arxiv_id":"2601.05127","last_updated":"2026-04-23T07:24:19Z","snapshot_observed_at":"2026-07-06T22:41:10.836235Z","submitted_at":"2026-01-08T17:17:47Z","title":"LooseRoPE: Content-aware Attention Manipulation for Semantic Harmonization","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-16T16:06:20.797660Z"},"links":{"cited_paper":"/paper/2406.07209","citing_paper":"/paper/2601.05127"},"observation_digest":"sha256:e32942d1d78f61ea61e8588b5dfb3c70f12fd74ab8a59d31dfd405b728e3f20f","observation_id":"7cc84ab5-5e7a-46de-a1ce-a5763b1880bd","resolution":{"observed_at":"2026-05-16T16:08:04.470931Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07209","last_updated":"2025-03-04T06:21:26Z","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T12:32:53Z","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance","version":3},"cited_work":{"arxiv_id":"2406.07209","doi":"10.48550/arxiv.2406.07209","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07209","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Yi Wang, Yinan He, Yizhuo Li, Kunchang Li, Jiashuo Yu, Xin Ma, Xinhao Li, Guo Chen, Xinyuan Chen, Yaohui Wang, et al","venue":"arXiv (Cornell University)","work_id":"273757ff-d85e-4208-bb7c-e5881a8119e4","year":2025},"citing_paper":{"arxiv_id":"2603.08090","last_updated":"2026-06-30T03:35:03Z","snapshot_observed_at":"2026-07-15T12:51:11.895253Z","submitted_at":"2026-03-09T08:30:28Z","title":"DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-05-15T15:16:59.801347Z"},"links":{"cited_paper":"/paper/2406.07209","citing_paper":"/paper/2603.08090"},"observation_digest":"sha256:6e51639d155b50ec17b2fa8b5952d7aabcdfdc192dea7b127e24b20151f4cc55","observation_id":"d32c443f-6bb8-4682-9186-922de763ece1","resolution":{"observed_at":"2026-05-15T15:20:09.088674Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07209","last_updated":"2025-03-04T06:21:26Z","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T12:32:53Z","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07209","snapshot_observed_at":"2026-07-15T12:51:20.969593Z","title":"arXiv preprint arXiv:2406.07209 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.08090","last_updated":"2026-06-30T03:35:03Z","snapshot_observed_at":"2026-07-15T12:51:11.895253Z","submitted_at":"2026-03-09T08:30:28Z","title":"DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation","version":3},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-07-15T12:51:20.969593Z"},"links":{"cited_paper":"/paper/2406.07209","citing_paper":"/paper/2603.08090"},"observation_digest":"sha256:83986e36afc093f8b0ae469aa0c7cbbc6047103f8cd30b5aee52d495b1555b78","observation_id":"3b4d2939-9722-491b-a16d-372f81f77ff0","resolution":{"observed_at":"2026-07-15T12:51:20.969593Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07209","last_updated":"2025-03-04T06:21:26Z","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T12:32:53Z","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance","version":3},"cited_work":{"arxiv_id":"2406.07209","doi":"10.48550/arxiv.2406.07209","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07209","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Yi Wang, Yinan He, Yizhuo Li, Kunchang Li, Jiashuo Yu, Xin Ma, Xinhao Li, Guo Chen, Xinyuan Chen, Yaohui Wang, et al","venue":"arXiv (Cornell University)","work_id":"273757ff-d85e-4208-bb7c-e5881a8119e4","year":2025},"citing_paper":{"arxiv_id":"2604.13938","last_updated":"2026-04-15T14:50:05Z","snapshot_observed_at":"2026-07-06T23:01:50.745555Z","submitted_at":"2026-04-15T14:50:05Z","title":"ASTRA: Enhancing Multi-Subject Generation with Retrieval-Augmented Pose Guidance and Disentangled Position Embedding","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-10T13:49:59.632467Z"},"links":{"cited_paper":"/paper/2406.07209","citing_paper":"/paper/2604.13938"},"observation_digest":"sha256:d8c243a5cd4b909d2945db369e862d41ba5827f44688d322eb067f3a0d1766d0","observation_id":"a33e9608-d78b-4d90-85ee-624103db4a0c","resolution":{"observed_at":"2026-05-10T14:10:29.263978Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07209","last_updated":"2025-03-04T06:21:26Z","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T12:32:53Z","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance","version":3},"cited_work":{"arxiv_id":"2406.07209","doi":"10.48550/arxiv.2406.07209","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07209","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Yi Wang, Yinan He, Yizhuo Li, Kunchang Li, Jiashuo Yu, Xin Ma, Xinhao Li, Guo Chen, Xinyuan Chen, Yaohui Wang, et al","venue":"arXiv (Cornell University)","work_id":"273757ff-d85e-4208-bb7c-e5881a8119e4","year":2025},"citing_paper":{"arxiv_id":"2605.23610","last_updated":"2026-05-22T13:20:29Z","snapshot_observed_at":"2026-07-31T18:23:31.169556Z","submitted_at":"2026-05-22T13:20:29Z","title":"EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-25T04:57:13.479165Z"},"links":{"cited_paper":"/paper/2406.07209","citing_paper":"/paper/2605.23610"},"observation_digest":"sha256:78b8d2964214bc5c727a7f8fdfb66626c7f5e102f5bb6287d22578232dab919d","observation_id":"524961f5-bf00-4db4-8037-e997ead0bfa9","resolution":{"observed_at":"2026-05-25T05:00:22.391492Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07209","last_updated":"2025-03-04T06:21:26Z","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T12:32:53Z","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance","version":3},"cited_work":{"arxiv_id":"2406.07209","doi":"10.48550/arxiv.2406.07209","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07209","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Yi Wang, Yinan He, Yizhuo Li, Kunchang Li, Jiashuo Yu, Xin Ma, Xinhao Li, Guo Chen, Xinyuan Chen, Yaohui Wang, et al","venue":"arXiv (Cornell University)","work_id":"273757ff-d85e-4208-bb7c-e5881a8119e4","year":2025},"citing_paper":{"arxiv_id":"2605.27235","last_updated":"2026-05-26T16:16:19Z","snapshot_observed_at":"2026-08-02T12:14:40.555789Z","submitted_at":"2026-05-26T16:16:19Z","title":"MRT: Masked Region Transformer for Layered Image Generation and Editing at Scale","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-06-29T18:32:37.613906Z"},"links":{"cited_paper":"/paper/2406.07209","citing_paper":"/paper/2605.27235"},"observation_digest":"sha256:5ff5453b8bac1a6039609cb1b2aae10b6794241d35f86ad258fe7cf81d403430","observation_id":"c267c162-97ff-4d12-87a4-a4796848549b","resolution":{"observed_at":"2026-06-29T18:33:50.277158Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07209","last_updated":"2025-03-04T06:21:26Z","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T12:32:53Z","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance","version":3},"cited_work":{"arxiv_id":"2406.07209","doi":"10.48550/arxiv.2406.07209","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07209","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Yi Wang, Yinan He, Yizhuo Li, Kunchang Li, Jiashuo Yu, Xin Ma, Xinhao Li, Guo Chen, Xinyuan Chen, Yaohui Wang, et al","venue":"arXiv (Cornell University)","work_id":"273757ff-d85e-4208-bb7c-e5881a8119e4","year":2025},"citing_paper":{"arxiv_id":"2606.00351","last_updated":"2026-06-02T15:24:39Z","snapshot_observed_at":"2026-08-07T01:07:49.743502Z","submitted_at":"2026-05-29T20:45:05Z","title":"UniVerse: A Unified Modulation Framework for Segmentation-Free,Disentangled Multi-Concept Personalization","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-28T22:34:05.043186Z"},"links":{"cited_paper":"/paper/2406.07209","citing_paper":"/paper/2606.00351"},"observation_digest":"sha256:49c2d89d3d67ed68049de947ab8911e17e5c0a38ca3ef265bfbc988be3b46055","observation_id":"e303529f-b4e6-4b23-83fe-9d02c1583eb9","resolution":{"observed_at":"2026-07-01T19:26:00.744974Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07209","last_updated":"2025-03-04T06:21:26Z","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T12:32:53Z","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance","version":3},"cited_work":{"arxiv_id":"2406.07209","doi":"10.48550/arxiv.2406.07209","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07209","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Yi Wang, Yinan He, Yizhuo Li, Kunchang Li, Jiashuo Yu, Xin Ma, Xinhao Li, Guo Chen, Xinyuan Chen, Yaohui Wang, et al","venue":"arXiv (Cornell University)","work_id":"273757ff-d85e-4208-bb7c-e5881a8119e4","year":2025},"citing_paper":{"arxiv_id":"2606.11783","last_updated":"2026-06-10T08:15:52Z","snapshot_observed_at":"2026-07-06T23:50:49.040880Z","submitted_at":"2026-06-10T08:15:52Z","title":"A Comprehensive Ecosystem for Open-Domain Customized Video Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-27T10:06:33.572182Z"},"links":{"cited_paper":"/paper/2406.07209","citing_paper":"/paper/2606.11783"},"observation_digest":"sha256:dea360327a94b0b53743f8fd55424d067bd063e23db54acd284c3d54e82e498c","observation_id":"6ceb7e35-cca1-47b8-88cc-3309a06cbfd9","resolution":{"observed_at":"2026-07-03T10:17:57.913110Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07209","last_updated":"2025-03-04T06:21:26Z","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T12:32:53Z","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance","version":3},"cited_work":{"arxiv_id":"2406.07209","doi":"10.48550/arxiv.2406.07209","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07209","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Yi Wang, Yinan He, Yizhuo Li, Kunchang Li, Jiashuo Yu, Xin Ma, Xinhao Li, Guo Chen, Xinyuan Chen, Yaohui Wang, et al","venue":"arXiv (Cornell University)","work_id":"273757ff-d85e-4208-bb7c-e5881a8119e4","year":2025},"citing_paper":{"arxiv_id":"2606.21395","last_updated":"2026-06-19T13:01:45Z","snapshot_observed_at":"2026-08-06T10:07:24.121133Z","submitted_at":"2026-06-19T13:01:45Z","title":"Atomistic Language Models Understand and Generate Materials","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-06-26T14:54:28.608607Z"},"links":{"cited_paper":"/paper/2406.07209","citing_paper":"/paper/2606.21395"},"observation_digest":"sha256:c6f49a958ba76534abf855da83aa87de3d4f073a1d5ccc352203cd7b8923fcb3","observation_id":"c14420b5-2fe6-4c09-8906-9aabacf9cc11","resolution":{"observed_at":"2026-07-04T06:09:36.519416Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07209","last_updated":"2025-03-04T06:21:26Z","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T12:32:53Z","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance","version":3},"cited_work":{"arxiv_id":"2406.07209","doi":"10.48550/arxiv.2406.07209","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07209","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Yi Wang, Yinan He, Yizhuo Li, Kunchang Li, Jiashuo Yu, Xin Ma, Xinhao Li, Guo Chen, Xinyuan Chen, Yaohui Wang, et al","venue":"arXiv (Cornell University)","work_id":"273757ff-d85e-4208-bb7c-e5881a8119e4","year":2025},"citing_paper":{"arxiv_id":"2607.01383","last_updated":"2026-07-01T18:44:01Z","snapshot_observed_at":"2026-08-07T06:21:57.422360Z","submitted_at":"2026-07-01T18:44:01Z","title":"MIBE: Multi-subject Interaction Benchmark and Evaluator for Personalized Image Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-03T21:05:29.882088Z"},"links":{"cited_paper":"/paper/2406.07209","citing_paper":"/paper/2607.01383"},"observation_digest":"sha256:3ec4e590b4220bbdf05a116a2205fbf5ecde5978ad197fa03624d0ed2e49027a","observation_id":"f1390630-648d-4d6c-b17d-f6e3e1daf51c","resolution":{"observed_at":"2026-07-03T21:08:57.526105Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.07209/citation-record","integrity":"/paper/2406.07209/integrity","json":"/paper/2406.07209/citation-record.json","paper":"/paper/2406.07209"},"outbound":[],"paper":{"arxiv_id":"2406.07209","last_updated":"2025-03-04T06:21:26Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T12:32:53Z","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2406.07209."}