{"as_of":"2026-08-08T04:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dc4559d2c0b5426e1d3020974fe3019263bedc429d971dbf9c5606cd542bec07","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":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":15,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:59:29.343261Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T21:10:09.682483Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.10391","last_updated":"2025-03-13T14:07:58Z","snapshot_observed_at":"2026-08-07T17:07:00.747879Z","submitted_at":"2025-03-13T14:07:58Z","title":"CINEMA: Coherent Multi-Subject Video Generation via MLLM-Based Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.10391","snapshot_observed_at":"2026-08-07T13:59:29.343261Z","title":"Cinema: Coherent multi-subject video generation via mllm-based guidance","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.20292","last_updated":"2025-06-03T10:11:00Z","snapshot_observed_at":"2026-08-07T13:53:16.552171Z","submitted_at":"2025-05-26T17:59:46Z","title":"OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation","version":4},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T13:59:29.343261Z"},"links":{"cited_paper":"/paper/2503.10391","citing_paper":"/paper/2505.20292"},"observation_digest":"sha256:faf790b2ea6948d1701d60901d5ebae52a5593095ddd8cf63938536a769189ef","observation_id":"7344fd96-2a37-4a56-9bff-dc864b12df8a","resolution":{"observed_at":"2026-08-07T13:59:29.343261Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.10391","last_updated":"2025-03-13T14:07:58Z","snapshot_observed_at":"2026-08-07T17:07:00.747879Z","submitted_at":"2025-03-13T14:07:58Z","title":"CINEMA: Coherent Multi-Subject Video Generation via MLLM-Based Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.10391","snapshot_observed_at":"2026-08-07T11:12:08.227600Z","title":"Cinema: Coherent multi-subject video generation via mllm-based guidance","venue":null,"work_id":null,"year":2025},"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":9,"source":"pdf_text","source_observed_at":"2026-08-07T11:12:08.227600Z"},"links":{"cited_paper":"/paper/2503.10391","citing_paper":"/paper/2506.03126"},"observation_digest":"sha256:ec74314f1f7f681c36ffa20492cee9ffbc12c4b3acfac62f9c418624cc5b8d74","observation_id":"10bbdf14-7a25-4c48-bb27-3789b2a20813","resolution":{"observed_at":"2026-08-07T11:12:08.227600Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.10391","last_updated":"2025-03-13T14:07:58Z","snapshot_observed_at":"2026-08-07T17:07:00.747879Z","submitted_at":"2025-03-13T14:07:58Z","title":"CINEMA: Coherent Multi-Subject Video Generation via MLLM-Based Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.10391","snapshot_observed_at":"2026-08-07T04:27:36.010543Z","title":"Cinema: Coherent multi-subject video generation via mllm- based guidance","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.10568","last_updated":"2025-08-27T03:34:57Z","snapshot_observed_at":"2026-08-07T04:20:42.031923Z","submitted_at":"2025-06-12T10:58:23Z","title":"DreamActor-H1: High-Fidelity Human-Product Demonstration Video Generation via Motion-designed Diffusion Transformers","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:36.010543Z"},"links":{"cited_paper":"/paper/2503.10391","citing_paper":"/paper/2506.10568"},"observation_digest":"sha256:64f603f98a25835cdc3882b1750d1de72e23258e05d228eed31b2f7c14925f36","observation_id":"aa4e6714-16c5-4dc3-9c33-4edf724954cd","resolution":{"observed_at":"2026-08-07T04:27:36.010543Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.10391","last_updated":"2025-03-13T14:07:58Z","snapshot_observed_at":"2026-08-07T17:07:00.747879Z","submitted_at":"2025-03-13T14:07:58Z","title":"CINEMA: Coherent Multi-Subject Video Generation via MLLM-Based Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.10391","snapshot_observed_at":"2026-08-06T23:20:08.256451Z","title":"Cinema: Coherent multi-subject video generation via mllm-based guidance","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.18851","last_updated":"2025-06-23T17:11:56Z","snapshot_observed_at":"2026-08-06T23:13:14.170240Z","submitted_at":"2025-06-23T17:11:56Z","title":"Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:08.256451Z"},"links":{"cited_paper":"/paper/2503.10391","citing_paper":"/paper/2506.18851"},"observation_digest":"sha256:422666a64cf8b086d045279eeadfb58c6e3915babf285a1d5ea0736a67237a0d","observation_id":"3e6fad62-7218-485c-ae16-187812f6a501","resolution":{"observed_at":"2026-08-06T23:20:08.256451Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.10391","last_updated":"2025-03-13T14:07:58Z","snapshot_observed_at":"2026-08-07T17:07:00.747879Z","submitted_at":"2025-03-13T14:07:58Z","title":"CINEMA: Coherent Multi-Subject Video Generation via MLLM-Based Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.10391","snapshot_observed_at":"2026-08-06T15:09:51.852399Z","title":"Cinema: Coherent multi-subject video generation via mllm-based guidance","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.16813","last_updated":"2025-07-22T17:59:21Z","snapshot_observed_at":"2026-08-07T20:18:21.057983Z","submitted_at":"2025-07-22T17:59:21Z","title":"HOComp: Interaction-Aware Human-Object Composition","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T15:09:51.852399Z"},"links":{"cited_paper":"/paper/2503.10391","citing_paper":"/paper/2507.16813"},"observation_digest":"sha256:e6612dac0748bbdc9d805d9e3d888e128facc466c33b49ce80aa89e7292b1d99","observation_id":"6a475883-7016-4dfc-a2ec-e9afb0e3bc01","resolution":{"observed_at":"2026-08-06T15:09:51.852399Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.10391","last_updated":"2025-03-13T14:07:58Z","snapshot_observed_at":"2026-08-07T17:07:00.747879Z","submitted_at":"2025-03-13T14:07:58Z","title":"CINEMA: Coherent Multi-Subject Video Generation via MLLM-Based Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.10391","snapshot_observed_at":"2026-07-13T18:01:19.034578Z","title":"Cinema: Coherent multi-subject video generation via mllm-based guidance.arXiv preprint arXiv:2503.10391, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.25743","last_updated":"2026-06-29T08:23:47Z","snapshot_observed_at":"2026-08-04T12:34:23.023983Z","submitted_at":"2026-03-26T17:59:57Z","title":"RefAlign: Representation Alignment for Reference-to-Video Generation","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-13T18:01:19.034578Z"},"links":{"cited_paper":"/paper/2503.10391","citing_paper":"/paper/2603.25743"},"observation_digest":"sha256:d0aa1f9b096f6e662d377314171610ed1e8e74c19a75e8b448a0b485171347ca","observation_id":"6b52e863-a64e-45b6-8a0b-47dda76c78a3","resolution":{"observed_at":"2026-07-13T18:01:19.034578Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.10391","last_updated":"2025-03-13T14:07:58Z","snapshot_observed_at":"2026-08-07T17:07:00.747879Z","submitted_at":"2025-03-13T14:07:58Z","title":"CINEMA: Coherent Multi-Subject Video Generation via MLLM-Based Guidance","version":1},"cited_work":{"arxiv_id":"2503.10391","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.10391","snapshot_observed_at":"2026-07-04T21:10:09.682483Z","title":"Cinema: Coherent multi-subject video generation via mllm-based guidance","venue":null,"work_id":"1820a399-b3ca-48c7-aaf0-dd2a7dff2e4b","year":2025},"citing_paper":{"arxiv_id":"2604.19473","last_updated":"2026-04-21T13:56:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-21T13:56:36Z","title":"TS-Attn: Temporal-wise Separable Attention for Multi-Event Video Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T02:45:10.577070Z"},"links":{"cited_paper":"/paper/2503.10391","citing_paper":"/paper/2604.19473"},"observation_digest":"sha256:e54167e0a64a007a2c2b869b8788a7791d6c1f4013afd820c5980d5360d1ce75","observation_id":"a6452147-1bd9-46b1-b879-ee5b15d83f5b","resolution":{"observed_at":"2026-05-10T02:53:29.912925Z","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":"2503.10391","last_updated":"2025-03-13T14:07:58Z","snapshot_observed_at":"2026-08-07T17:07:00.747879Z","submitted_at":"2025-03-13T14:07:58Z","title":"CINEMA: Coherent Multi-Subject Video Generation via MLLM-Based Guidance","version":1},"cited_work":{"arxiv_id":"2503.10391","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.10391","snapshot_observed_at":"2026-07-04T21:10:09.682483Z","title":"Cinema: Coherent multi-subject video generation via mllm-based guidance","venue":null,"work_id":"1820a399-b3ca-48c7-aaf0-dd2a7dff2e4b","year":2025},"citing_paper":{"arxiv_id":"2605.12088","last_updated":"2026-05-13T15:41:37Z","snapshot_observed_at":"2026-07-06T23:23:48.960874Z","submitted_at":"2026-05-12T13:10:05Z","title":"UniCustom: Unified Visual Conditioning for Multi-Reference Image Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-13T05:53:21.851578Z"},"links":{"cited_paper":"/paper/2503.10391","citing_paper":"/paper/2605.12088"},"observation_digest":"sha256:46e560aec45678f27b7ae6b802718616910c333cf8d289283bddc0b35e22a809","observation_id":"54963091-81c4-4cea-8fc1-ebc352845893","resolution":{"observed_at":"2026-05-13T06:02:23.977015Z","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":"2503.10391","last_updated":"2025-03-13T14:07:58Z","snapshot_observed_at":"2026-08-07T17:07:00.747879Z","submitted_at":"2025-03-13T14:07:58Z","title":"CINEMA: Coherent Multi-Subject Video Generation via MLLM-Based Guidance","version":1},"cited_work":{"arxiv_id":"2503.10391","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.10391","snapshot_observed_at":"2026-07-04T21:10:09.682483Z","title":"Cinema: Coherent multi-subject video generation via mllm-based guidance","venue":null,"work_id":"1820a399-b3ca-48c7-aaf0-dd2a7dff2e4b","year":2025},"citing_paper":{"arxiv_id":"2605.12088","last_updated":"2026-05-13T15:41:37Z","snapshot_observed_at":"2026-07-06T23:23:48.960874Z","submitted_at":"2026-05-12T13:10:05Z","title":"UniCustom: Unified Visual Conditioning for Multi-Reference Image Generation","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-14T22:00:01.349754Z"},"links":{"cited_paper":"/paper/2503.10391","citing_paper":"/paper/2605.12088"},"observation_digest":"sha256:48f8619ea0efca4cbc2fab22d947d981d99f0b41532f71a811856ea89a879efb","observation_id":"b80fc3bc-d5c4-4034-9335-58cd8047c016","resolution":{"observed_at":"2026-05-14T22:03:03.343949Z","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":"2503.10391","last_updated":"2025-03-13T14:07:58Z","snapshot_observed_at":"2026-08-07T17:07:00.747879Z","submitted_at":"2025-03-13T14:07:58Z","title":"CINEMA: Coherent Multi-Subject Video Generation via MLLM-Based Guidance","version":1},"cited_work":{"arxiv_id":"2503.10391","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.10391","snapshot_observed_at":"2026-07-04T21:10:09.682483Z","title":"Cinema: Coherent multi-subject video generation via mllm-based guidance","venue":null,"work_id":"1820a399-b3ca-48c7-aaf0-dd2a7dff2e4b","year":2025},"citing_paper":{"arxiv_id":"2606.11670","last_updated":"2026-06-10T05:29:09Z","snapshot_observed_at":"2026-08-07T07:14:38.415101Z","submitted_at":"2026-06-10T05:29:09Z","title":"ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-27T10:46:56.871174Z"},"links":{"cited_paper":"/paper/2503.10391","citing_paper":"/paper/2606.11670"},"observation_digest":"sha256:d020adf17a9186287355fa8ca3f97dbbc7a13863f9cd0d818d06973facf0c3c7","observation_id":"38fef8f3-95d7-4a33-bf2c-af5c51c038ba","resolution":{"observed_at":"2026-07-03T08:17:45.976977Z","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":"2503.10391","last_updated":"2025-03-13T14:07:58Z","snapshot_observed_at":"2026-08-07T17:07:00.747879Z","submitted_at":"2025-03-13T14:07:58Z","title":"CINEMA: Coherent Multi-Subject Video Generation via MLLM-Based Guidance","version":1},"cited_work":{"arxiv_id":"2503.10391","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.10391","snapshot_observed_at":"2026-07-04T21:10:09.682483Z","title":"Cinema: Coherent multi-subject video generation via mllm-based guidance","venue":null,"work_id":"1820a399-b3ca-48c7-aaf0-dd2a7dff2e4b","year":2025},"citing_paper":{"arxiv_id":"2606.22347","last_updated":"2026-06-21T05:56:28Z","snapshot_observed_at":"2026-07-06T23:57:14.069903Z","submitted_at":"2026-06-21T05:56:28Z","title":"Customizing Video Portraits via Identity-ActionDecoupling","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-06-26T10:56:11.553110Z"},"links":{"cited_paper":"/paper/2503.10391","citing_paper":"/paper/2606.22347"},"observation_digest":"sha256:f815c323313e496d57b44c9f2d8284b61c92122aeff84a0c5a3cfbe93ae986e9","observation_id":"3d29057a-593a-41ea-925b-47a9414aae75","resolution":{"observed_at":"2026-07-04T08:49:42.380535Z","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":"2503.10391","last_updated":"2025-03-13T14:07:58Z","snapshot_observed_at":"2026-08-07T17:07:00.747879Z","submitted_at":"2025-03-13T14:07:58Z","title":"CINEMA: Coherent Multi-Subject Video Generation via MLLM-Based Guidance","version":1},"cited_work":{"arxiv_id":"2503.10391","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.10391","snapshot_observed_at":"2026-07-04T21:10:09.682483Z","title":"Cinema: Coherent multi-subject video generation via mllm-based guidance","venue":null,"work_id":"1820a399-b3ca-48c7-aaf0-dd2a7dff2e4b","year":2025},"citing_paper":{"arxiv_id":"2606.26058","last_updated":"2026-06-24T17:33:13Z","snapshot_observed_at":"2026-08-07T10:26:25.230801Z","submitted_at":"2026-06-24T17:33:13Z","title":"DomainShuttle: Freeform Open Domain Subject-driven Text-to-video Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-25T19:00:23.260939Z"},"links":{"cited_paper":"/paper/2503.10391","citing_paper":"/paper/2606.26058"},"observation_digest":"sha256:d9b6118c8be28fb9f4aa53caa4b3be1aea790768f77f9248e5c267e703e0ed11","observation_id":"dcce61f5-bf18-4c2d-9ad4-326d741f59bf","resolution":{"observed_at":"2026-07-04T21:10:09.684393Z","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":"2503.10391","last_updated":"2025-03-13T14:07:58Z","snapshot_observed_at":"2026-08-07T17:07:00.747879Z","submitted_at":"2025-03-13T14:07:58Z","title":"CINEMA: Coherent Multi-Subject Video Generation via MLLM-Based Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.10391","snapshot_observed_at":"2026-07-11T20:11:31.576642Z","title":"arXiv preprint arXiv:2503.10391 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04311","last_updated":"2026-07-07T14:30:21Z","snapshot_observed_at":"2026-08-04T12:36:41.280283Z","submitted_at":"2026-07-05T13:54:33Z","title":"Aura: Consistent Multi-Subject Video Generation via VLM-Grounded Semantic Alignment","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-07-11T20:11:31.576642Z"},"links":{"cited_paper":"/paper/2503.10391","citing_paper":"/paper/2607.04311"},"observation_digest":"sha256:42c5d470af6bd2842383e3c61fe0d7c05c23c03d66f318f724b8e74f8a8c14f3","observation_id":"75e11631-dd5b-46f4-bfa7-df8687893a99","resolution":{"observed_at":"2026-07-11T20:11:31.576642Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.10391","last_updated":"2025-03-13T14:07:58Z","snapshot_observed_at":"2026-08-07T17:07:00.747879Z","submitted_at":"2025-03-13T14:07:58Z","title":"CINEMA: Coherent Multi-Subject Video Generation via MLLM-Based Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.10391","snapshot_observed_at":"2026-08-01T15:42:19.025878Z","title":"Cinema: Coherent multi-subject video generation via mllm-based guidance.arXiv preprint arXiv:2503.10391, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18217","last_updated":"2026-07-21T02:55:50Z","snapshot_observed_at":"2026-08-07T23:02:55.909445Z","submitted_at":"2026-07-20T17:51:35Z","title":"HOMIE: Human-object Centric Video Personalization via Multimodal Intelligent Enhancement","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T15:42:19.025878Z"},"links":{"cited_paper":"/paper/2503.10391","citing_paper":"/paper/2607.18217"},"observation_digest":"sha256:7ef1357c5345528c33fc65eede97d60d78f02c5129a499682ff1a63d5cac18fd","observation_id":"4a50d647-fe85-45be-b497-2b84e4849794","resolution":{"observed_at":"2026-08-01T15:42:19.025878Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.10391","last_updated":"2025-03-13T14:07:58Z","snapshot_observed_at":"2026-08-07T17:07:00.747879Z","submitted_at":"2025-03-13T14:07:58Z","title":"CINEMA: Coherent Multi-Subject Video Generation via MLLM-Based Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.10391","snapshot_observed_at":"2026-08-01T15:42:04.839943Z","title":"color block abstraction","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18227","last_updated":"2026-07-20T17:58:03Z","snapshot_observed_at":"2026-08-06T02:11:59.758594Z","submitted_at":"2026-07-20T17:58:03Z","title":"FlowMimic: Mask-free Visual Editing and Generation with Pixel-pair Warped Flow Field for Online Video Editing Data Generation and Modality Mimicry","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-01T15:42:04.839943Z"},"links":{"cited_paper":"/paper/2503.10391","citing_paper":"/paper/2607.18227"},"observation_digest":"sha256:a877d1c4b8cdcc11f911226b49fd612cc120c727efdb7309b7f75aff26c278ae","observation_id":"c2ea64d7-54ec-4967-92ac-74862def1255","resolution":{"observed_at":"2026-08-01T15:42:04.839943Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2503.10391/citation-record","integrity":"/paper/2503.10391/integrity","json":"/paper/2503.10391/citation-record.json","paper":"/paper/2503.10391"},"outbound":[],"paper":{"arxiv_id":"2503.10391","last_updated":"2025-03-13T14:07:58Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T17:07:00.747879Z","submitted_at":"2025-03-13T14:07:58Z","title":"CINEMA: Coherent Multi-Subject Video Generation via MLLM-Based 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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2503.10391."}