{"as_of":"2026-08-14T11:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0134d8692289517f704a6530d4a4a39cc9b15623c84d2b57a31ca30f182bca3a","coverage":[{"denominator":51,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":51,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T11:44:39.970120Z","state":"measured"},{"denominator":53,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":53,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:12:08.846411Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T12:59:30.025058Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.17949","snapshot_observed_at":"2026-08-07T11:12:08.846411Z","title":"Roictrl: Boosting instance control for visual generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03126","last_updated":"2025-06-03T17:55:18Z","snapshot_observed_at":"2026-08-08T01:59:18.334752Z","submitted_at":"2025-06-03T17:55:18Z","title":"AnimeShooter: A Multi-Shot Animation Dataset for Reference-Guided Video Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T11:12:08.846411Z"},"links":{"cited_paper":"/paper/2411.17949","citing_paper":"/paper/2506.03126"},"observation_digest":"sha256:e923d9af60cb32f8ffa49f77017a0f1895103fc9a18c715ba7101962c1bae707","observation_id":"9356d9de-e9d4-44bb-bcb6-f78c65570da9","resolution":{"observed_at":"2026-08-07T11:12:08.846411Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"cited_work":{"arxiv_id":"2411.17949","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.17949","snapshot_observed_at":"2026-08-05T12:59:30.025058Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","venue":"cs.CV","work_id":"7a04559d-14fe-485a-aea5-aeb194812858","year":2024},"citing_paper":{"arxiv_id":"2509.01107","last_updated":"2025-09-01T04:00:22Z","snapshot_observed_at":"2026-08-13T12:21:08.831517Z","submitted_at":"2025-09-01T04:00:22Z","title":"FICGen: Frequency-Inspired Contextual Disentanglement for Layout-driven Degraded Image Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T12:59:22.466003Z"},"links":{"cited_paper":"/paper/2411.17949","citing_paper":"/paper/2509.01107"},"observation_digest":"sha256:f64989f5dab8c374f8d0a8074cf2cdb3b415f05c87901868561537ddeea8b19b","observation_id":"5c2e205b-e87c-40e3-9c53-5841b17e5d89","resolution":{"observed_at":"2026-08-05T12:59:30.135334Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.17949/citation-record","integrity":"/paper/2411.17949/integrity","json":"/paper/2411.17949/citation-record.json","paper":"/paper/2411.17949"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-12T11:44:39.823300Z","title":"Gpt-4 technical report","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.823300Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:230f5989bafde1206f6ae3e11741f0617e6f2c2b500c1127dca0603b0baf37c2","observation_id":"8ed0b0f9-74fa-4ea2-8cd7-490de869e356","resolution":{"observed_at":"2026-08-12T11:44:39.823300Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:40.323414Z","title":"Improving image generation with better captions","venue":null,"work_id":"7c51f488-6c44-48c0-bd2d-08cc3ecbb4d0","year":2023},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.826763Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:728b9fe3b498a02ce1ac60a1af1aa57f164ddc5dd3897983af51d1ede79354ff","observation_id":"b2ddeb2d-b559-4e71-830e-f5dc048f7edd","resolution":{"observed_at":"2026-08-12T11:44:40.326371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:39.829694Z","title":"Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.829694Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:91b3a313f280a76b9ead74e03fa20e5a7c565dafad32104b5f759a7059ecf92e","observation_id":"e6c5b706-1313-4f46-800d-584d5dca3b4c","resolution":{"observed_at":"2026-08-12T11:44:39.829694Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:40.310939Z","title":"Videocrafter2: Overcoming data limitations for high-quality video diffu- sion models","venue":null,"work_id":"e56b1eac-7a6a-42cb-ab3f-a8f2191925b7","year":2024},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.832512Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:61c0e1dd4ef2b80aab6b18f82fc7b4154ed04d2cc690250696e9996ec65f01e3","observation_id":"851dafb2-ceb0-48dc-9956-dc052a780c3a","resolution":{"observed_at":"2026-08-12T11:44:40.314567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:39.835502Z","title":"Training-free layout control with cross-attention guidance","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.835502Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:c38a3f905c0d05c4b7f50ed93ddbcda30a4d5241fd866f64f54e4ae8dadd981a","observation_id":"84b61950-ceea-4c69-8b75-7ba265f3ba47","resolution":{"observed_at":"2026-08-12T11:44:39.835502Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:40.298853Z","title":"Yolo-world: Real-time open-vocabulary object detection","venue":null,"work_id":"ad8f1c36-7ef9-4554-a4ac-23d67f1a4ef5","year":2024},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.838364Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:f76c9eef30b1dbd4de34796c7497fe9da9dbf349b6b02ee74f65b18ae9792e1b","observation_id":"2d0db3c4-c9ad-4ef5-9ae1-ac5df4a1982a","resolution":{"observed_at":"2026-08-12T11:44:40.301933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.15807","last_updated":"2023-09-27T17:30:19Z","snapshot_observed_at":"2026-08-13T10:03:45.960823Z","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":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.15807","snapshot_observed_at":"2026-08-12T11:44:39.841267Z","title":"Emu: Enhanc- ing image generation models using photogenic needles in a haystack","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.841267Z"},"links":{"cited_paper":"/paper/2309.15807","citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:d342988c082cfab0811bd63e47c5caf63208cd201e9e7bbe41c65eb1e24958ac","observation_id":"1e5b3a67-1b87-4b0f-aac9-5059b746a541","resolution":{"observed_at":"2026-08-12T11:44:39.841267Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:40.290953Z","title":"Imagenet: A large-scale hierarchical image database","venue":null,"work_id":"7d33a91d-8191-41df-9fa8-b3ae10c4f5d0","year":2009},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.844481Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:a324d389cc01f9afbe542ec224819469bed72a9f1cc3099614165b7bc802e877","observation_id":"c9908465-4520-42e3-aa2e-532d8ecbad80","resolution":{"observed_at":"2026-08-12T11:44:40.293853Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T11:44:40.283416Z","title":"Scaling recti- fied flow transformers for high-resolution image synthesis","venue":null,"work_id":"6945fbaa-f543-43ee-9053-2796ccccc492","year":2024},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.847259Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:3a777219b405e114844e24614e45ea7c53074e4da737dfd08a163285a1e81bd6","observation_id":"4b7a1933-0c08-465e-801e-036ba6507a78","resolution":{"observed_at":"2026-08-12T11:44:40.286121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T11:44:40.275690Z","title":"Muffin or chihuahua? challenging multimodal large lan- guage models with multipanel vqa","venue":null,"work_id":"a2dfb3db-a9f3-4fcc-81cb-682dc7235492","year":null},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.849869Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:61f35b931f97668716e4c82e1d2696bb053cc34d3bd6a58d3abbf5061140744f","observation_id":"d53494ca-a47f-4212-ade4-35c0e9993e56","resolution":{"observed_at":"2026-08-12T11:44:40.278502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.05032","last_updated":"2023-02-28T23:46:24Z","snapshot_observed_at":"2026-08-13T13:24:31.977894Z","submitted_at":"2022-12-09T18:30:24Z","title":"Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.05032","snapshot_observed_at":"2026-08-12T11:44:39.852095Z","title":"Training-free structured diffusion guidance for compositional text-to-image synthesis","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.852095Z"},"links":{"cited_paper":"/paper/2212.05032","citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:6cc03f5afeab25acef0c759345881eaf9ba01e52df96ef089913a599baa3d58a","observation_id":"bcff9687-cceb-4d5d-bd88-d0102325d492","resolution":{"observed_at":"2026-08-12T11:44:39.852095Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:40.268294Z","title":"Ranni: Taming text-to-image diffu- sion for accurate instruction following","venue":null,"work_id":"5687456d-cbbc-49ba-b27f-7d4b4a0a0168","year":2024},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.854418Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:54f0fe5605e464917d0d0b3d7c23f0d92c0be234e0761ce1bfcb771a5384a7a6","observation_id":"2fcd9b07-2722-400d-b46c-affdf110ea49","resolution":{"observed_at":"2026-08-12T11:44:40.271212Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.10709","last_updated":"2024-08-02T18:55:25Z","snapshot_observed_at":"2026-08-13T05:22:58.925946Z","submitted_at":"2023-11-17T18:59:04Z","title":"Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.10709","snapshot_observed_at":"2026-08-12T11:44:39.856443Z","title":"Emu video: Factoriz- ing text-to-video generation by explicit image conditioning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.856443Z"},"links":{"cited_paper":"/paper/2311.10709","citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:b3f95454f0655afd506fff1e44ebe3ba0c198192631e543a33c9c7d6ae5bc89e","observation_id":"fcd1968c-67b0-4456-bd70-fd12bf6b028d","resolution":{"observed_at":"2026-08-12T11:44:39.856443Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:40.260661Z","title":"Mix-of-show: Decentralized low- rank adaptation for multi-concept customization of diffusion models","venue":null,"work_id":"ea3f4c41-c71a-411d-974d-479cb933e2b2","year":2024},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.859261Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:b70213ab39fab39c041f0ea00a3ece480eee4a6fb183b5c64aeeabb52dfc052f","observation_id":"1cf908cd-288a-4322-bd07-5791109738d7","resolution":{"observed_at":"2026-08-12T11:44:40.263446Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T11:44:40.253684Z","title":"Videoswap: Customized video subject swapping with interactive semantic point cor- respondence","venue":null,"work_id":"a157c660-4775-49b1-b648-389a90999aed","year":2024},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.862190Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:3ac9787fc161e7defb35b254ce1daf9f1cd3e43a22ab689e32805059e1241402","observation_id":"c1fa88ad-dc96-43a3-96cc-409d02f60efc","resolution":{"observed_at":"2026-08-12T11:44:40.256262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:39.865221Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.865221Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:f8a67e1396bd94f8e3084a89a6e1a11390c2a396855d97aeda9ddcce7f13d1f8","observation_id":"52766ff4-f3a1-43fe-8a8c-b0b347fef4c6","resolution":{"observed_at":"2026-08-12T11:44:39.865221Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:40.243009Z","title":"Mask r-cnn","venue":null,"work_id":"3249d3c0-b77f-4ae1-b6ed-d4d972673780","year":2017},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.867865Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:33fe462399ed63c47e5718882b611d98342b49a756c439341060896218a14b2d","observation_id":"df9e580e-a19d-42e0-a117-43ea94d75065","resolution":{"observed_at":"2026-08-12T11:44:40.245508Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.14636","last_updated":"2023-06-26T12:15:06Z","snapshot_observed_at":"2026-08-13T11:09:21.623411Z","submitted_at":"2023-06-26T12:15:06Z","title":"Localized Text-to-Image Generation for Free via Cross Attention Control","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.14636","snapshot_observed_at":"2026-08-12T11:44:39.870819Z","title":"Lo- calized text-to-image generation for free via cross attention control","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.870819Z"},"links":{"cited_paper":"/paper/2306.14636","citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:ebdb5ec3c8c7eeae9b1993ef7da08ccd69f686769b00057c48201c9a6cbd9a36","observation_id":"dd944c4d-09f1-45c3-8f06-eb97d99dcb92","resolution":{"observed_at":"2026-08-12T11:44:39.870819Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.01626","last_updated":"2022-08-02T17:55:41Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-08-02T17:55:41Z","title":"Prompt-to-Prompt Image Editing with Cross Attention Control","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.01626","snapshot_observed_at":"2026-08-12T11:44:39.873712Z","title":"Prompt-to-prompt im- 9 age editing with cross attention control","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.873712Z"},"links":{"cited_paper":"/paper/2208.01626","citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:9a2df9713d7a2c78fbfdc921d4c8ac7e4322a20f987a78d5812ea1a3ba8bcac6","observation_id":"09c2bb89-bfc2-4e25-8fac-e9a227f08b69","resolution":{"observed_at":"2026-08-12T11:44:39.873712Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.02303","last_updated":"2022-10-05T14:41:38Z","snapshot_observed_at":"2026-07-06T13:59:57.800591Z","submitted_at":"2022-10-05T14:41:38Z","title":"Imagen Video: High Definition Video Generation with Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.02303","snapshot_observed_at":"2026-08-12T11:44:39.876537Z","title":"Imagen video: High definition video generation with diffusion mod- els","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.876537Z"},"links":{"cited_paper":"/paper/2210.02303","citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:a7a3ff974b78e7ad9de2a2ef432fb61bf25252f81b26a559f75150d6d9adb218","observation_id":"f43f950e-b6be-44af-af7f-5e59d8447c3a","resolution":{"observed_at":"2026-08-12T11:44:39.876537Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:40.235712Z","title":"YOLO by Ultralytics, 2023","venue":null,"work_id":"b65961f6-39c1-421d-9b68-0b7d8b4564e1","year":2023},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.879818Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:1bed4ad767eb5ee408aa555d535d754ff5393380a75ee05f11695f28c77e0b33","observation_id":"838d0802-96f1-40dc-811b-738fce188ea4","resolution":{"observed_at":"2026-08-12T11:44:40.238479Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T11:44:40.227813Z","title":"Dense text-to-image generation with attention modulation","venue":null,"work_id":"389007fb-ef5c-48a9-9140-a24025e73ae3","year":2023},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.882431Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:f5ec2efb5bd3e89f3af91cbb98b1643b883868da7d5250bb23968a1906f3052d","observation_id":"6d1f8a2f-e672-4060-b7b2-9e3a5dddd19c","resolution":{"observed_at":"2026-08-12T11:44:40.230729Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T11:44:40.219925Z","title":"Imagenet classification with deep convolutional neural net- works","venue":null,"work_id":"86f0174c-ab37-4596-84c8-eff78ba1bfcb","year":2012},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.884949Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:a9eee7e500ebf48a0905ac230084d645e44600dfdc9503a055ed9907d84701fa","observation_id":"43e4dcc1-edd1-4963-93f4-1470f3921633","resolution":{"observed_at":"2026-08-12T11:44:40.222768Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T11:44:40.211941Z","title":"Gligen: Open-set grounded text-to-image generation","venue":null,"work_id":"283fdde2-6a4a-4115-b30b-0da3e828d20c","year":2023},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.887624Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:c2fff2d3868f7eaf2175d5c48aca9367663dd9ea8fae42176ae013513d0de212","observation_id":"b52e1405-0603-4e60-9bce-29320f710cc7","resolution":{"observed_at":"2026-08-12T11:44:40.214905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T11:44:40.204186Z","title":"Microsoft coco: Common objects in context","venue":null,"work_id":"77d1c88f-9f58-49fc-9422-504d3a4f4901","year":2014},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.890276Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:92a4181688f5518f64ed6729822f53fb90e39b1341d5345123ee9bc2818524d4","observation_id":"fdc41500-fa0c-44a7-85e6-271f7231b0c1","resolution":{"observed_at":"2026-08-12T11:44:40.207070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:39.893293Z","title":"Feature pyra- mid networks for object detection","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.893293Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:7df4a8902fdbde39740992edcd3047b3ca6184670b58f8b54658de7b3befeb6f","observation_id":"5b238b27-e0ca-4d72-bf8e-94a64a066fa8","resolution":{"observed_at":"2026-08-12T11:44:39.893293Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.05499","last_updated":"2024-07-19T06:00:41Z","snapshot_observed_at":"2026-07-06T15:00:58.804337Z","submitted_at":"2023-03-09T18:52:16Z","title":"Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.05499","snapshot_observed_at":"2026-08-12T11:44:39.895257Z","title":"Grounding dino: Marrying dino with grounded pre-training for open-set object detection","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.895257Z"},"links":{"cited_paper":"/paper/2303.05499","citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:92d25a6e805a39940e18ff5f348074c1fa59fcc8883bfc1483f7ba5d4decf48e","observation_id":"d9ad8a63-0963-4f7e-a84b-4f6740035c19","resolution":{"observed_at":"2026-08-12T11:44:39.895257Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:40.192269Z","title":"T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models","venue":null,"work_id":"dddd36b7-9602-4489-a518-c9c7de255e2a","year":2024},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.897581Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:d932a9047cbbcd2e09a86574035b54f8a54da467afe8351e09ea938ba52c5747","observation_id":"a280c165-d517-4690-b33d-02548f16a97c","resolution":{"observed_at":"2026-08-12T11:44:40.195238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.08246","last_updated":"2024-05-14T00:22:06Z","snapshot_observed_at":"2026-08-13T02:52:38.024033Z","submitted_at":"2024-05-14T00:22:06Z","title":"Compositional Text-to-Image Generation with Dense Blob Representations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.08246","snapshot_observed_at":"2026-08-12T11:44:39.899866Z","title":"Compositional text-to-image generation with dense blob representations","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.899866Z"},"links":{"cited_paper":"/paper/2405.08246","citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:ebb82c2f0e095a02143954e607e8c04064c3677d7f66b71ddfb7454edd574293","observation_id":"edaa496d-e7e6-40fe-8b6a-608f0701c0c3","resolution":{"observed_at":"2026-08-12T11:44:39.899866Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:39.903025Z","title":"Pytorch: An im- perative style, high-performance deep learning library","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.903025Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:5673f48fc7904ffd81e3c22a8d4060cbcfacd35c2f8f831c40964b932f13d75a","observation_id":"d167d0ec-e031-4481-aab0-71da1980ceea","resolution":{"observed_at":"2026-08-12T11:44:39.903025Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:39.907084Z","title":"Scalable diffusion models with transformers","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.907084Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:6c061968f1bba931f8a1859d7c7fde270c6df8c3f2020340588945c5b2a33009","observation_id":"adef5937-f617-4ca3-ba99-3ce143cc5544","resolution":{"observed_at":"2026-08-12T11:44:39.907084Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:39.910169Z","title":"Grounded text-to-image synthesis with attention refocusing","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.910169Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:2ad9e59d67546f24364485ef902284cacdafbc65685a4f844cd99c213d2d5ff0","observation_id":"529065ab-aacb-4fef-b99f-6ced8417291a","resolution":{"observed_at":"2026-08-12T11:44:39.910169Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:39.912636Z","title":"Learning transferable visual models from natural language supervi- sion","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.912636Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:03fe263b88efddad00afd1f2e5c8a69a1bb6267e127ac0cb9ce52cba0823a3ce","observation_id":"4d56004f-e653-40b7-9101-170aa0171cf7","resolution":{"observed_at":"2026-08-12T11:44:39.912636Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:40.168549Z","title":"Faster r-cnn: Towards real-time object detection with region proposal networks","venue":null,"work_id":"add82119-f07b-4b3a-be78-3ece1da4c1cc","year":2015},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.915180Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:a010aa8d295ce97008a4846d63d5af77b5f6550d5faafa4843fdf9069222125c","observation_id":"4b58470b-0921-425f-b288-d9326620d27b","resolution":{"observed_at":"2026-08-12T11:44:40.171457Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:39.925145Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.925145Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:7abb39452a502368bff9db05bff79707a0f7c453821a77f36381c1ba0e69caaf","observation_id":"1e68f177-65aa-4148-8cc6-77b258fed556","resolution":{"observed_at":"2026-08-12T11:44:39.925145Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:39.927896Z","title":"Photorealistic text-to-image diffusion models with deep language understanding","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.927896Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:b5509a7719fe86eb098be1c81158ddeeac749294fb4410c270a3d199aad3acfe","observation_id":"9b2a81b7-a36a-4bef-9d32-8fedb86dcf64","resolution":{"observed_at":"2026-08-12T11:44:39.927896Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-08-11T15:38:14.931716Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-12T11:44:39.930757Z","title":"Denoising diffusion implicit models","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.930757Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:d9e1f39f416f283d4c1461e6d959cb1367f8c028f97d587baedc4818995343ff","observation_id":"bdce4b3b-f0b4-4472-9d6f-72c9a1ae8956","resolution":{"observed_at":"2026-08-12T11:44:39.930757Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:40.153325Z","title":"Anti-dreambooth: Pro- tecting users from personalized text-to-image synthesis","venue":null,"work_id":"eb8d3bc0-2fb8-4064-8a57-0f34ea2723f9","year":2023},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.934671Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:ccc28247ec2b0993292a2bd4b3d45606092fde7a3c23959aa518890df299e3fb","observation_id":"48421942-bc02-45cc-8656-ff92a0c3010e","resolution":{"observed_at":"2026-08-12T11:44:40.156343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01566","last_updated":"2024-02-02T16:59:48Z","snapshot_observed_at":"2026-08-13T04:28:13.021438Z","submitted_at":"2024-02-02T16:59:48Z","title":"Boximator: Generating Rich and Controllable Motions for Video Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01566","snapshot_observed_at":"2026-08-12T11:44:39.937255Z","title":"Boximator: Generat- ing rich and controllable motions for video synthesis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.937255Z"},"links":{"cited_paper":"/paper/2402.01566","citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:4f1680abfb143631644e87447200454f8ab06b2178288fc07f80eb0423fce03a","observation_id":"044f671b-d9a3-40e3-8bbe-846afe223d89","resolution":{"observed_at":"2026-08-12T11:44:39.937255Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:40.145517Z","title":"Instancediffusion: Instance- level control for image generation","venue":null,"work_id":"1b94d7d1-e90c-4daf-bcd9-97326ad57dfa","year":2024},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.940086Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:a9ee5d4569c738950f3db9baf65c2ccbf0e0dc44eafbc2f706cc504243a520ae","observation_id":"d929fd78-ac00-4821-bd14-83e558a38b76","resolution":{"observed_at":"2026-08-12T11:44:40.147958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:39.943105Z","title":"Motionctrl: A unified and flexible motion controller for video generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.943105Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:ef19dac293c95ec3d5355e3e7d5599b3632802ebef903ca56b42bd7df334f119","observation_id":"bbbe3d1c-9741-4d7d-adb8-107d42e4de6a","resolution":{"observed_at":"2026-08-12T11:44:39.943105Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:39.946045Z","title":"Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.946045Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:419fad27d57c4e9c200350d59bdc274d4af3b5bbec2c5df3bd0bd52c65945d94","observation_id":"c200696b-e6be-4b25-a3c5-6388612b3f5f","resolution":{"observed_at":"2026-08-12T11:44:39.946045Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:40.129929Z","title":"Boxdiff: Text-to-image synthesis with training-free box-constrained 10 diffusion","venue":null,"work_id":"744b5866-d809-4aac-bd64-f460f0f5594e","year":2023},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.948391Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:ad99ecae6be477a138544537043adaa08e7ee2b36ddc72d6fe458702ebb0f93f","observation_id":"38f49aad-8a76-4e96-94dd-60137fed4901","resolution":{"observed_at":"2026-08-12T11:44:40.132398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.01800","last_updated":"2024-08-03T15:02:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-08-03T15:02:21Z","title":"MiniCPM-V: A GPT-4V Level MLLM on Your Phone","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.01800","snapshot_observed_at":"2026-08-12T11:44:39.950709Z","title":"Minicpm-v: A gpt-4v level mllm on your phone","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.950709Z"},"links":{"cited_paper":"/paper/2408.01800","citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:1b9eddbcb19003b197fd4dcf411b55e3ebcbd9a364bfb87a895198944942876a","observation_id":"f3b20bd4-ab32-4388-97d8-7ebe683bca94","resolution":{"observed_at":"2026-08-12T11:44:39.950709Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.06721","last_updated":"2023-08-13T08:34:51Z","snapshot_observed_at":"2026-07-06T16:05:39.158819Z","submitted_at":"2023-08-13T08:34:51Z","title":"IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.06721","snapshot_observed_at":"2026-08-12T11:44:39.953600Z","title":"Ip- adapter: Text compatible image prompt adapter for text-to- image diffusion models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.953600Z"},"links":{"cited_paper":"/paper/2308.06721","citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:8f050c2ad09b7b74d1be6f54b266b595a401182de9bae93eaf6fa4565ee1878d","observation_id":"c3a4c1df-4176-468d-b1a6-b8eb35f9c433","resolution":{"observed_at":"2026-08-12T11:44:39.953600Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.15818","last_updated":"2025-05-30T03:55:20Z","snapshot_observed_at":"2026-08-14T11:06:08.711477Z","submitted_at":"2023-09-27T17:44:18Z","title":"Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.15818","snapshot_observed_at":"2026-08-12T11:44:39.956359Z","title":"Show-1: Marrying pixel and latent dif- fusion models for text-to-video generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.956359Z"},"links":{"cited_paper":"/paper/2309.15818","citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:20acfe4002ab27652adab26a8363f408eaa8601b43ef9adfde3e0e0bee908518","observation_id":"42e96123-5358-45b8-aaf7-ac1b66b67895","resolution":{"observed_at":"2026-08-12T11:44:39.956359Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:40.122823Z","title":"Adding conditional control to text-to-image diffusion models","venue":null,"work_id":"d08ad7d5-a5ec-43d4-a3df-28ffd40934c9","year":2023},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.958974Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:36c0929f7f079cfcce6efd080b1129dcf2733b876f8ae9b59e316336e2aa3f98","observation_id":"b2c90084-be1f-4ff8-9c87-2516b91cf69e","resolution":{"observed_at":"2026-08-12T11:44:40.125104Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T11:44:40.113417Z","title":"Migc: Multi-instance generation controller for text-to-image synthesis","venue":null,"work_id":"b391290a-3d0c-4047-844e-7094c0987e7d","year":2024},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.961410Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:78b5b07c68dff3e5472b25dd483bed8f10dd0ebd151ba63129e484e6b6365284","observation_id":"4b6b6ab8-a74b-4115-ad90-3940336bd967","resolution":{"observed_at":"2026-08-12T11:44:40.116329Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T11:44:40.104819Z","title":"ROICtrl-Bench ROICtrl-Bench contains 200 samples, divided into groups {1, 2, 3, 4, 5, 6-10, 11-15, 16-20, 21-25, 26-30} based on in- stance counts","venue":null,"work_id":"1205b45d-8bf2-41f9-a86d-38c3999a1660","year":2017},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.964137Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:d001234c9700bc6ca665298f916192e49075ef8d374239b7b7afffc4b2f33c0a","observation_id":"88023092-63c0-4bc3-bf08-9f18255a7c2f","resolution":{"observed_at":"2026-08-12T11:44:40.108163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T11:44:40.095631Z","title":"Qualitative Comparison We have demonstrated the qualitative comparison on ROICtrl-Bench in Sec","venue":null,"work_id":"5c36d26d-a7bc-4695-882d-ee0c7d721bcb","year":null},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.967288Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:e15c0e1f34aca2586639e2574a373abd15c266aacb37f53e716132f8a34c8848","observation_id":"cfdf1843-be14-4b69-8bda-d644d5cd0308","resolution":{"observed_at":"2026-08-12T11:44:40.098895Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T11:44:40.084524Z","title":"Limitation Analysis The attribution leakage problem is largely addressed in ROICtrl, as we prioritize using instance captions in the learnable blending process","venue":null,"work_id":"2411b215-4472-4295-8ab8-5dcee3325e15","year":null},"citing_paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:39.970120Z"},"links":{"citing_paper":"/paper/2411.17949"},"observation_digest":"sha256:6d10f5ecd3a4db18fb9814fefb1c9a2b8ddc860d61da4a06db02d0ca31c73cc5","observation_id":"333cdfc2-c753-4f33-9e54-b41b616a4a21","resolution":{"observed_at":"2026-08-12T11:44:40.090237Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.17949","last_updated":"2024-11-27T00:10:27Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T17:12:54.075325Z","submitted_at":"2024-11-27T00:10:27Z","title":"ROICtrl: Boosting Instance Control for Visual Generation"},"reference_resolution":{"displayed":51,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":26,"verified_exact":0,"verified_fuzzy":25},"total_outbound_references":51},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 2 inbound Pith citation observations for arXiv:2411.17949."}