{"as_of":"2026-08-08T14:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cd232bd311fb366ae968e1d0c421c9077d62fabd028cbfa57cd70dccb7a05be8","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":56,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":56,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":56,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":56,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T13:21:50.630926Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":8,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2404.07191","last_updated":"2024-04-14T16:54:24Z","snapshot_observed_at":"2026-07-06T17:58:25.894552Z","submitted_at":"2024-04-10T17:48:37Z","title":"InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-13T21:15:33.430513Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2404.07191"},"observation_digest":"sha256:9f19f53893cc3beeed477355473d0c4b9c665095a6fe590a5e8967a85abe4e35","observation_id":"5a528521-bed4-4f4d-8ca7-266b76429404","resolution":{"observed_at":"2026-05-13T21:15:33.454524Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2405.10314","last_updated":"2024-05-16T17:59:05Z","snapshot_observed_at":"2026-07-06T18:15:24.541427Z","submitted_at":"2024-05-16T17:59:05Z","title":"CAT3D: Create Anything in 3D with Multi-View Diffusion Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-19T21:29:51.062396Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2405.10314"},"observation_digest":"sha256:a16d5cd119f40f9fc669c3a1dc7420c2048f4e6d9dea73be17ef9d71d2f3b6ff","observation_id":"63bd4daa-e539-4075-8cec-d3f3dfa83865","resolution":{"observed_at":"2026-05-19T21:29:51.156683Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2501.12202","last_updated":"2026-05-14T15:41:39Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-21T15:16:54Z","title":"Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation","version":5},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-05-23T04:53:58.465445Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2501.12202"},"observation_digest":"sha256:76bf5d50d92f6a245151ed88d6c9e7d9bcf6a8c6c4adb936c40915cffa5c35b4","observation_id":"1b9ccce1-3690-40d8-921b-ddb14ef7b396","resolution":{"observed_at":"2026-05-23T04:55:24.992776Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2502.06608","last_updated":"2025-03-27T17:25:50Z","snapshot_observed_at":"2026-07-06T20:34:02.031605Z","submitted_at":"2025-02-10T16:07:54Z","title":"TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models","version":3},"reference_index":188,"source":"arxiv_source","source_observed_at":"2026-05-16T21:51:18.323840Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2502.06608"},"observation_digest":"sha256:c6d1fc5ea31f3d73fdb73be5226882a1c99a39d253a8ee0769b8fe77b7db94ee","observation_id":"57e15145-d024-4348-b48e-70a283194986","resolution":{"observed_at":"2026-05-16T21:51:18.433002Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-08T13:21:50.630926Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation.arXiv preprint arXiv:2312.02201, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.07278","last_updated":"2026-05-22T20:48:36Z","snapshot_observed_at":"2026-08-08T13:13:34.171986Z","submitted_at":"2025-02-11T05:47:16Z","title":"Articulate That Object Part (ATOP): 3D Part Articulation via Text and Motion Personalization","version":4},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-08T13:21:50.630926Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2502.07278"},"observation_digest":"sha256:0c0555e91e42d2716837ee0798d8d836dba79442c63ca157df161f5180dc830e","observation_id":"820ed9ce-d41d-47e2-b55e-9ebed252a206","resolution":{"observed_at":"2026-08-08T13:21:50.630926Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-08T11:56:49.641691Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.07685","last_updated":"2025-03-21T15:10:32Z","snapshot_observed_at":"2026-08-08T11:51:09.874536Z","submitted_at":"2025-02-11T16:36:55Z","title":"Matrix3D: Large Photogrammetry Model All-in-One","version":2},"reference_index":109,"source":"pdf_text","source_observed_at":"2026-08-08T11:56:49.641691Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2502.07685"},"observation_digest":"sha256:3934dd1c57878c0c914a752a0c2436fd38e37439b251ff9742d848aaed5c4489","observation_id":"9b43557f-3c04-4dac-a184-0c0d932d907f","resolution":{"observed_at":"2026-08-08T11:56:49.641691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-08T05:22:20.020565Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08377","last_updated":"2025-06-27T02:31:48Z","snapshot_observed_at":"2026-08-08T05:15:44.520632Z","submitted_at":"2025-02-12T13:08:35Z","title":"Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features","version":3},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-08T05:22:20.020565Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2502.08377"},"observation_digest":"sha256:3d36adc5322419d43dfbf7f2eca3374d6c4edf36e45ddb75441583dd09b812df","observation_id":"6e8aaf2d-26f9-4ad7-a5cc-8258ecd41986","resolution":{"observed_at":"2026-08-08T05:22:20.020565Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-07T22:07:39.165479Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.09278","last_updated":"2025-02-25T10:55:44Z","snapshot_observed_at":"2026-08-07T22:00:48.650028Z","submitted_at":"2025-02-13T12:49:25Z","title":"ConsistentDreamer: View-Consistent Meshes Through Balanced Multi-View Gaussian Optimization","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T22:07:39.165479Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2502.09278"},"observation_digest":"sha256:4299e0501f858adcaee85f87547d6cae1e8a6e32624511fbfd3d1e39f5516277","observation_id":"2e012d50-d733-4938-8202-58ee317518f4","resolution":{"observed_at":"2026-08-07T22:07:39.165479Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-07T14:50:41.594208Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17412","last_updated":"2025-05-26T17:47:04Z","snapshot_observed_at":"2026-08-07T14:45:22.746516Z","submitted_at":"2025-05-23T02:58:01Z","title":"Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T14:50:41.594208Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2505.17412"},"observation_digest":"sha256:6d6a3ab7c6425f1e016e36b81cf60dc5217b9e1c9b250949965ab1324dddc7ff","observation_id":"38989734-c4e1-4679-97f3-dc7ba98a5d8b","resolution":{"observed_at":"2026-08-07T14:50:41.594208Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-07T12:08:03.295638Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation.arXiv preprint arXiv:2312.02201, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00512","last_updated":"2025-06-03T12:03:44Z","snapshot_observed_at":"2026-08-07T12:26:47.330923Z","submitted_at":"2025-05-31T11:11:55Z","title":"Pro3D-Editor : A Progressive-Views Perspective for Consistent and Precise 3D Editing","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T12:08:03.295638Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2506.00512"},"observation_digest":"sha256:f5582db9ad50a83644c2ef7418f46bee43ed4073ec65c27e168b7fa54bb5402b","observation_id":"0b82eb26-041b-4d7b-9fdc-601bbdbc1fd1","resolution":{"observed_at":"2026-08-07T12:08:03.295638Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-07T11:37:27.969205Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation.arXiv preprint arXiv:2312.02201, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.01853","last_updated":"2025-06-02T16:40:50Z","snapshot_observed_at":"2026-08-07T12:37:21.612292Z","submitted_at":"2025-06-02T16:40:50Z","title":"ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:27.969205Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2506.01853"},"observation_digest":"sha256:218e742f5d033ee5ce77536b1f95ff97349fb678d9d69cfa42fe83253d75c13a","observation_id":"9ac3ca65-a9ac-48c4-83a5-05eac76d239e","resolution":{"observed_at":"2026-08-07T11:37:27.969205Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-07T11:26:04.878999Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation.arXiv preprint arXiv:2312.02201, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.02620","last_updated":"2025-06-03T08:36:03Z","snapshot_observed_at":"2026-08-07T16:44:25.914419Z","submitted_at":"2025-06-03T08:36:03Z","title":"FlexPainter: Flexible and Multi-View Consistent Texture Generation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T11:26:04.878999Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2506.02620"},"observation_digest":"sha256:90289d7f1a1936a357aa41b9779d8abae26740f5e3bde5311fe23e49e1084867","observation_id":"2c390d5e-ef77-4a81-ab52-5ee80af0b80b","resolution":{"observed_at":"2026-08-07T11:26:04.878999Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-07T04:41:33.337738Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation.arXiv preprint arXiv:2312.02201, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.09982","last_updated":"2025-06-11T17:55:16Z","snapshot_observed_at":"2026-08-07T09:43:33.112388Z","submitted_at":"2025-06-11T17:55:16Z","title":"AnimateAnyMesh: A Feed-Forward 4D Foundation Model for Text-Driven Universal Mesh Animation","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-07T04:41:33.337738Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2506.09982"},"observation_digest":"sha256:24b2afabe587809ec81ad2d7aa7d9a7550a3a31621ab4ac8554073cb7c0f910f","observation_id":"6e500bd9-c2c5-4ccb-942d-5d2b2057fb6b","resolution":{"observed_at":"2026-08-07T04:41:33.337738Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-07T00:33:13.552469Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation.arXiv preprint arXiv:2312.02201, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13697","last_updated":"2025-06-16T17:02:47Z","snapshot_observed_at":"2026-08-07T00:25:06.915900Z","submitted_at":"2025-06-16T17:02:47Z","title":"Vid-CamEdit: Video Camera Trajectory Editing with Generative Rendering from Estimated Geometry","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-07T00:33:13.552469Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2506.13697"},"observation_digest":"sha256:5de022e12826eae34e4fd0c011c87de7e56afd625c9e183b867169a18041709e","observation_id":"2c654803-c248-4956-8e4b-72c77653ad91","resolution":{"observed_at":"2026-08-07T00:33:13.552469Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2506.16504","last_updated":"2025-06-19T17:57:40Z","snapshot_observed_at":"2026-07-06T21:44:57.091757Z","submitted_at":"2025-06-19T17:57:40Z","title":"Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Details","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-16T14:10:47.141456Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2506.16504"},"observation_digest":"sha256:9cf6b38745eefd2a0ea4a347097198e32196c08e6305459b02be83ecaf1a42b2","observation_id":"f9d79fde-c61a-4497-96a5-939adec98e96","resolution":{"observed_at":"2026-05-16T14:10:47.211646Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-07T04:52:09.832371Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation.arXiv preprint arXiv:2312.02201, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00006","last_updated":"2025-06-11T08:02:40Z","snapshot_observed_at":"2026-08-07T04:44:38.114223Z","submitted_at":"2025-06-11T08:02:40Z","title":"MVGBench: Comprehensive Benchmark for Multi-view Generation Models","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T04:52:09.832371Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2507.00006"},"observation_digest":"sha256:0a3cde602eafca580717cbf68c633e356b1466787a7056e2131cec5e02da84a6","observation_id":"5dbbb5b0-97ab-4c2e-93cf-71a65e1a0a76","resolution":{"observed_at":"2026-08-07T04:52:09.832371Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-06T20:36:11.329493Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.02299","last_updated":"2025-07-03T04:12:11Z","snapshot_observed_at":"2026-08-07T11:25:48.165995Z","submitted_at":"2025-07-03T04:12:11Z","title":"DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T20:36:11.329493Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2507.02299"},"observation_digest":"sha256:9575a0413236c3fa6b56f26ae1c37298f48bf23ac439fa692081b8d73ca4bbda","observation_id":"01914995-5d32-4424-a4a5-b89a07ff9f79","resolution":{"observed_at":"2026-08-06T20:36:11.329493Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-06T18:45:44.943140Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07410","last_updated":"2025-07-10T04:08:28Z","snapshot_observed_at":"2026-08-08T02:32:55.572951Z","submitted_at":"2025-07-10T04:08:28Z","title":"EscherNet++: Simultaneous Amodal Completion and Scalable View Synthesis through Masked Fine-Tuning and Enhanced Feed-Forward 3D Reconstruction","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T18:45:44.943140Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2507.07410"},"observation_digest":"sha256:7865609473c78f1459efa7ba0a9ae79f4333fa5b834e8b37a1c18760426630d3","observation_id":"eed6d10b-6271-4c23-b0aa-a7bac91a0191","resolution":{"observed_at":"2026-08-06T18:45:44.943140Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-06T16:54:45.062047Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation.arXiv preprint arXiv:2312.02201, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.12336","last_updated":"2026-06-04T17:18:26Z","snapshot_observed_at":"2026-08-08T06:47:25.395811Z","submitted_at":"2025-07-16T15:29:07Z","title":"Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:45.062047Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2507.12336"},"observation_digest":"sha256:e74c21f96f68a97462c50d19ecad65d3f8b13605e5b336f5a6f3e457783d869f","observation_id":"3e1064d6-d90e-4dc1-922a-104f28967448","resolution":{"observed_at":"2026-08-06T16:54:45.062047Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-06T16:30:34.675972Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.13344","last_updated":"2025-07-17T17:59:17Z","snapshot_observed_at":"2026-08-07T21:11:22.341718Z","submitted_at":"2025-07-17T17:59:17Z","title":"Diffuman4D: 4D Consistent Human View Synthesis from Sparse-View Videos with Spatio-Temporal Diffusion Models","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T16:30:34.675972Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2507.13344"},"observation_digest":"sha256:a943840289ef095445db1c4e999f000147b19e72db0fa72729fe69ce391df469","observation_id":"adc958c2-78f9-4542-8d6a-645e4139ff0d","resolution":{"observed_at":"2026-08-06T16:30:34.675972Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-06T15:14:16.524006Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.16535","last_updated":"2025-07-23T01:59:09Z","snapshot_observed_at":"2026-08-08T06:18:41.187183Z","submitted_at":"2025-07-22T12:46:48Z","title":"EarthCrafter: Scalable 3D Earth Generation via Dual-Sparse Latent Diffusion","version":2},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-06T15:14:16.524006Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2507.16535"},"observation_digest":"sha256:a676d9e667c9d4a4fbaf1523554240e8cbe316975f178ef03d4153aad9778479","observation_id":"4e6db4e9-9129-4231-a88b-82a9a03e82b3","resolution":{"observed_at":"2026-08-06T15:14:16.524006Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-06T10:30:15.521882Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.23785","last_updated":"2025-07-31T17:59:51Z","snapshot_observed_at":"2026-08-06T18:51:30.831526Z","submitted_at":"2025-07-31T17:59:51Z","title":"Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-06T10:30:15.521882Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2507.23785"},"observation_digest":"sha256:060a9222c52be421596b8c1a6e36199706d24452fbf8ca582da88516a2ce213d","observation_id":"35faf239-1f57-43cc-97a0-58d498aff9ee","resolution":{"observed_at":"2026-08-06T10:30:15.521882Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2508.02324","last_updated":"2025-08-04T11:49:20Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-08-04T11:49:20Z","title":"Qwen-Image Technical Report","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-10T14:29:06.883874Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2508.02324"},"observation_digest":"sha256:9f3382821f2520253a23973dbf8da1dfe5878bcf2eb5c016225751c093366340","observation_id":"bcb4a18b-aa1d-42c1-8831-4cfd68cc1a91","resolution":{"observed_at":"2026-05-10T14:29:07.066697Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-06T00:02:34.662168Z","title":"arXiv preprint arXiv:2312.02201 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.04467","last_updated":"2025-08-06T14:08:36Z","snapshot_observed_at":"2026-08-06T11:36:54.538359Z","submitted_at":"2025-08-06T14:08:36Z","title":"4DVD: Cascaded Dense-view Video Diffusion Model for High-quality 4D Content Generation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T00:02:34.662168Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2508.04467"},"observation_digest":"sha256:32f883a5be5d72591a5e0fa0576ce86852cc1280e6041f23ea8ba6b6ec4bd3f5","observation_id":"0c33f751-ca08-4ed2-8522-8959ce084077","resolution":{"observed_at":"2026-08-06T00:02:34.662168Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T23:37:40.034501Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.05060","last_updated":"2025-08-07T06:25:45Z","snapshot_observed_at":"2026-08-07T23:01:56.488570Z","submitted_at":"2025-08-07T06:25:45Z","title":"DualMat: PBR Material Estimation via Coherent Dual-Path Diffusion","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T23:37:40.034501Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2508.05060"},"observation_digest":"sha256:11ffb549d2ca5d14d9ce8933ccc027c21e910b9849da94e6fab8f6fbb93eff81","observation_id":"c9caac1d-807e-4005-b51c-d793af2a7e44","resolution":{"observed_at":"2026-08-05T23:37:40.034501Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T22:13:13.749880Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.07409","last_updated":"2025-08-10T16:15:04Z","snapshot_observed_at":"2026-08-06T09:48:10.806700Z","submitted_at":"2025-08-10T16:15:04Z","title":"CharacterShot: Controllable and Consistent 4D Character Animation","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-05T22:13:13.749880Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2508.07409"},"observation_digest":"sha256:9f0b5007af6f7abc5c6c6240ca55d14174078cdc81c101fc59e0db50554a5468","observation_id":"15c614a1-ed7b-4b02-8a7b-d3fdef2c93ba","resolution":{"observed_at":"2026-08-05T22:13:13.749880Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T18:07:14.097700Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.15228","last_updated":"2026-06-18T16:33:14Z","snapshot_observed_at":"2026-08-07T23:02:29.902512Z","submitted_at":"2025-08-21T04:31:14Z","title":"Collaborative Multi-Modal Coding for High-Quality 3D Generation","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T18:07:14.097700Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2508.15228"},"observation_digest":"sha256:6600137dce499c55aff4592626d6c204b5656b0f1e82f1537e8e1f74233876e2","observation_id":"c077f2e0-271b-4982-96cf-3497c3c27865","resolution":{"observed_at":"2026-08-05T18:07:14.097700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T16:32:30.896089Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.18271","last_updated":"2026-05-27T17:09:12Z","snapshot_observed_at":"2026-08-05T16:32:05.772456Z","submitted_at":"2025-08-25T17:59:40Z","title":"ObjFiller3D: Scaling 3D Object Inpainting to Dense Multi-View Consistency","version":2},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-05T16:32:30.896089Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2508.18271"},"observation_digest":"sha256:0412337e425495746b76a822a846e7ab265a192a4db67bf23c96b8405a64143b","observation_id":"b5e5dfb8-dace-4a86-add7-e3d4a8708841","resolution":{"observed_at":"2026-08-05T16:32:30.896089Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T13:22:21.188422Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.00757","last_updated":"2025-08-31T09:12:06Z","snapshot_observed_at":"2026-08-07T21:09:14.011791Z","submitted_at":"2025-08-31T09:12:06Z","title":"MarkSplatter: Generalizable Watermarking for 3D Gaussian Splatting Model via Splatter Image Structure","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T13:22:21.188422Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2509.00757"},"observation_digest":"sha256:1e3e5ec76770e8bce89b3db33cb5336671c609ad7a824fad2a3d7abac3e9b68d","observation_id":"21694227-5875-4c76-8c7b-8842e41dbaf6","resolution":{"observed_at":"2026-08-05T13:22:21.188422Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2509.07435","last_updated":"2026-04-06T04:23:48Z","snapshot_observed_at":"2026-07-06T22:26:22.911328Z","submitted_at":"2025-09-09T06:43:15Z","title":"DreamLifting: A Plug-in Module Lifting MV Diffusion Models for 3D Asset Generation","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-05-18T18:30:11.391966Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2509.07435"},"observation_digest":"sha256:c766805a99e4f8524db6ec9dfa28cbe4cd1a04a349dfa4b759644b3f2cd7bced","observation_id":"a2151825-9c88-446d-bc53-220cb4729fd0","resolution":{"observed_at":"2026-05-18T18:31:44.249467Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2604.13856","last_updated":"2026-08-05T03:17:18Z","snapshot_observed_at":"2026-08-08T13:09:24.115428Z","submitted_at":"2026-04-15T13:24:47Z","title":"Any3DAvatar: Fast and High-Quality Full-Head 3D Avatar Reconstruction from Single Portrait Image","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-10T14:21:36.209440Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2604.13856"},"observation_digest":"sha256:6e02e1fcc42879e3c55b3ed2a380707b06b17fa9520c16e4769f8de32a111d41","observation_id":"b8a332b0-1bbe-4131-abf3-0caeb7b20e65","resolution":{"observed_at":"2026-05-10T14:25:28.986256Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2604.18468","last_updated":"2026-04-20T16:20:57Z","snapshot_observed_at":"2026-07-06T23:05:21.974248Z","submitted_at":"2026-04-20T16:20:57Z","title":"Asset Harvester: Extracting 3D Assets from Autonomous Driving Logs for Simulation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-10T04:18:35.668119Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2604.18468"},"observation_digest":"sha256:ca5d808175b87052728bd9980876251e84b8ea0e9b4382bf344e6b6127c233af","observation_id":"ee3ab4bf-5965-493b-9aec-4cfa74f7b0df","resolution":{"observed_at":"2026-05-11T12:01:06.198674Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2604.26917","last_updated":"2026-04-29T17:27:40Z","snapshot_observed_at":"2026-07-06T23:12:29.385105Z","submitted_at":"2026-04-29T17:27:40Z","title":"AnimateAnyMesh++: A Flexible 4D Foundation Model for High-Fidelity Text-Driven Mesh Animation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-07T10:50:24.047575Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2604.26917"},"observation_digest":"sha256:c2a62c13f72c724aab797509742c55fb953e7dd8f2ff388e5571b87663326d7c","observation_id":"ef6139e2-edd1-467d-9e56-a4335d55ad77","resolution":{"observed_at":"2026-05-12T09:26:26.411958Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2604.27504","last_updated":"2026-04-30T06:54:35Z","snapshot_observed_at":"2026-07-06T23:12:57.730833Z","submitted_at":"2026-04-30T06:54:35Z","title":"REVIVE 3D: Refinement via Encoded Voluminous Inflated prior for Volume Enhancement","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-07T08:07:54.268601Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2604.27504"},"observation_digest":"sha256:eef4877b107f8d1b90675eebc12340cee183f80bfc73847952bd21c22d07d697","observation_id":"f5d2fe50-1456-4b33-9775-ee49da592ce5","resolution":{"observed_at":"2026-05-12T10:01:29.488982Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2605.00345","last_updated":"2026-05-01T02:05:28Z","snapshot_observed_at":"2026-07-06T23:13:47.082550Z","submitted_at":"2026-05-01T02:05:28Z","title":"Pose-Aware Diffusion for 3D Generation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-09T20:14:41.740288Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2605.00345"},"observation_digest":"sha256:945fcad530ec46aa93e97743f3d0ac753c28d5a3f1cfea7a9fd97c53811b079c","observation_id":"a07240c7-dbf9-4b41-82ae-6a65c4bc423f","resolution":{"observed_at":"2026-05-11T15:21:07.086027Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2605.04527","last_updated":"2026-05-06T06:12:19Z","snapshot_observed_at":"2026-08-08T10:46:21.909855Z","submitted_at":"2026-05-06T06:12:19Z","title":"Velox: Learning Representations of 4D Geometry and Appearance","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-05-08T17:19:58.259824Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2605.04527"},"observation_digest":"sha256:384554f5efde63a397d637ca8f3dfd44b840c82726cd6780ad583d70323e9431","observation_id":"3d3b779d-d80c-4ee6-ab1e-5b3092819916","resolution":{"observed_at":"2026-05-11T17:41:07.596693Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2605.13838","last_updated":"2026-06-27T12:19:23Z","snapshot_observed_at":"2026-08-01T20:39:26.680238Z","submitted_at":"2026-05-13T17:58:13Z","title":"R-DMesh: Video-Guided 3D Animation via Rectified Dynamic Mesh Flow","version":1},"reference_index":109,"source":"arxiv_source","source_observed_at":"2026-05-14T19:07:53.671769Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2605.13838"},"observation_digest":"sha256:a923763cbb2cd4b93a9def3724cdfce061dcb455696f4b5ddc9eee3afa8fecd0","observation_id":"6257134f-d8d6-48ec-a7b5-2e28fe7a3245","resolution":{"observed_at":"2026-05-14T19:09:23.690090Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2605.13838","last_updated":"2026-06-27T12:19:23Z","snapshot_observed_at":"2026-08-01T20:39:26.680238Z","submitted_at":"2026-05-13T17:58:13Z","title":"R-DMesh: Video-Guided 3D Animation via Rectified Dynamic Mesh Flow","version":2},"reference_index":109,"source":"arxiv_source","source_observed_at":"2026-05-15T06:08:52.321351Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2605.13838"},"observation_digest":"sha256:ad92ceee6dc4cbb4fb7972a36b4ab38e6794960d73bba0efd738485f9cfaa017","observation_id":"73c56ee3-bd8d-4f9f-a479-524ce37ee157","resolution":{"observed_at":"2026-05-15T06:09:49.579247Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2605.16807","last_updated":"2026-05-16T04:23:48Z","snapshot_observed_at":"2026-07-06T23:27:52.850836Z","submitted_at":"2026-05-16T04:23:48Z","title":"DecoRec: Decomposed 3D Scene Reconstruction from Single-View Images via Object-Level Diffusion","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-05-19T21:10:29.089518Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2605.16807"},"observation_digest":"sha256:7a94eea5231847b53c0ceb1d03a0776a702515893614e145dbaab31d922e8bcf","observation_id":"f01565c6-b094-42e4-a9fd-8ce452556d7b","resolution":{"observed_at":"2026-05-19T21:12:47.094458Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2605.16990","last_updated":"2026-05-16T13:21:22Z","snapshot_observed_at":"2026-08-03T14:45:05.878472Z","submitted_at":"2026-05-16T13:21:22Z","title":"DreamEdit3D: Personalization of Multi-View Diffusion Models for 3D Editing","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-19T20:27:54.127523Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2605.16990"},"observation_digest":"sha256:70b1daa10236bf96ee393af33ffa36fdcdf70de63e4d77c19467a5158172fe9d","observation_id":"46b2c983-25da-4982-a3ac-dffa3f73b17f","resolution":{"observed_at":"2026-05-19T20:32:45.770102Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2605.18010","last_updated":"2026-05-18T08:05:07Z","snapshot_observed_at":"2026-08-02T12:16:21.427153Z","submitted_at":"2026-05-18T08:05:07Z","title":"Functionalization via Structure Completion and Motion Rectification","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-05-20T12:25:07.157086Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2605.18010"},"observation_digest":"sha256:1afa9ee92375dbf5f8856b3f88416e2127ef9f80bf8fc9b244aca50146dbec91","observation_id":"a1779400-77f8-467d-a767-8ab271fb8246","resolution":{"observed_at":"2026-05-20T12:28:16.925626Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2606.17030","last_updated":"2026-06-17T13:54:57Z","snapshot_observed_at":"2026-08-01T21:48:31.832288Z","submitted_at":"2026-06-15T17:52:31Z","title":"Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation","version":3},"reference_index":287,"source":"arxiv_source","source_observed_at":"2026-06-27T04:19:26.332718Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2606.17030"},"observation_digest":"sha256:0dde3047691ab2f1af28f54f7add6d1bade7a4b13834080616b58bb3e7644f42","observation_id":"b240c6d6-f1f5-4db4-ae57-bf0802aa6a36","resolution":{"observed_at":"2026-07-03T17:18:43.952863Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2606.21596","last_updated":"2026-06-19T16:50:48Z","snapshot_observed_at":"2026-08-03T18:54:47.903762Z","submitted_at":"2026-06-19T16:50:48Z","title":"$\\phi$-Scene: Physically Grounded Image-to-3D Scene Reconstruction","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-06-26T14:50:16.317301Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2606.21596"},"observation_digest":"sha256:be87040ed2955c68500a0d64457fd2056fdd010051aca0cf2459108dd430d2cb","observation_id":"09024538-23c7-4f9e-a2d9-7617a92e2f82","resolution":{"observed_at":"2026-07-04T06:09:37.268524Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2606.24257","last_updated":"2026-06-29T12:26:21Z","snapshot_observed_at":"2026-08-02T06:00:34.320787Z","submitted_at":"2026-06-23T07:44:14Z","title":"3DCarGen: Scalable 3D Car Generation via 3D-consistent Multi-view Synthesis","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-26T00:21:05.805362Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2606.24257"},"observation_digest":"sha256:930310ac0c1367c16504002e036b6e81560ffbdeecfd56f119989e35d8056cc2","observation_id":"df3a796f-5c43-4ff6-9975-7c2a70e6fe77","resolution":{"observed_at":"2026-07-04T16:39:57.912856Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2606.24257","last_updated":"2026-06-29T12:26:21Z","snapshot_observed_at":"2026-08-02T06:00:34.320787Z","submitted_at":"2026-06-23T07:44:14Z","title":"3DCarGen: Scalable 3D Car Generation via 3D-consistent Multi-view Synthesis","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-30T10:01:57.323665Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2606.24257"},"observation_digest":"sha256:889a1f5022fec57c8d57e8f3b08c6a85cfe1e5d1ee590d032a41fcf96d26b094","observation_id":"809c4fcf-67f2-4f01-8d1e-559d60d99cb0","resolution":{"observed_at":"2026-06-30T10:04:35.921362Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2606.24876","last_updated":"2026-06-23T17:53:41Z","snapshot_observed_at":"2026-08-08T02:33:38.405346Z","submitted_at":"2026-06-23T17:53:41Z","title":"FLAT: Feedforward Latent Triangle Splatting for Geometrically Accurate Scene Generation","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-06-26T00:11:11.534272Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2606.24876"},"observation_digest":"sha256:b75360aee878e41dd17e95b33453e1d282f3e48e8d6abc6b59b60b1eb13f57de","observation_id":"b794e59d-984c-4798-9638-4ef5bb9d4562","resolution":{"observed_at":"2026-07-04T16:49:58.064147Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2606.25300","last_updated":"2026-06-29T12:39:22Z","snapshot_observed_at":"2026-07-06T23:59:47.542695Z","submitted_at":"2026-06-24T02:00:08Z","title":"HiFiVe: High-Fidelity Vehicle Generation Leveraging Auto-Regressive 2D Generative Priors","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-25T21:36:14.886753Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2606.25300"},"observation_digest":"sha256:d858e10e60faeb4aa45f5bc0207ac5f0f02d59afb18927b929d17e22a3873b24","observation_id":"73c7e2c8-6dd7-4470-aae0-0be9c97a9588","resolution":{"observed_at":"2026-07-04T19:10:05.727768Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2606.25300","last_updated":"2026-06-29T12:39:22Z","snapshot_observed_at":"2026-07-06T23:59:47.542695Z","submitted_at":"2026-06-24T02:00:08Z","title":"HiFiVe: High-Fidelity Vehicle Generation Leveraging Auto-Regressive 2D Generative Priors","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-30T09:43:28.338150Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2606.25300"},"observation_digest":"sha256:b8f305b7ba0b0910466bef2b18271d05d2f3a041d69e7ef3ee23110269d9b3f9","observation_id":"98a693bf-ae4c-4fdf-ab9b-b5bc91e92d64","resolution":{"observed_at":"2026-06-30T09:44:37.283897Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2606.29964","last_updated":"2026-06-29T08:41:42Z","snapshot_observed_at":"2026-08-06T23:23:29.136242Z","submitted_at":"2026-06-29T08:41:42Z","title":"Variance Reduction on the Camera Axis: Multi-View Score Distillation for 3D","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-30T06:01:33.002150Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2606.29964"},"observation_digest":"sha256:e1c16c6a0517e00d0bcbf57d3c00476a1a43100a7156aa45aeded5489234f733","observation_id":"43a6116c-c954-4b04-9bd4-8abb59f57359","resolution":{"observed_at":"2026-06-30T06:04:21.317927Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":"2312.02201","doi":"10.48550/arxiv.2312.02201","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":"arXiv (Cornell University)","work_id":"0f8a4cbb-6f39-4135-b1cf-e0ffde69fbb1","year":2023},"citing_paper":{"arxiv_id":"2607.02516","last_updated":"2026-07-02T17:59:57Z","snapshot_observed_at":"2026-07-07T00:07:56.573640Z","submitted_at":"2026-07-02T17:59:57Z","title":"Alignment Is All You Need For X-to-4D Generation","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-07-03T14:31:18.256171Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2607.02516"},"observation_digest":"sha256:e81f185558582a3c1cba7d550bf8a18440b18009b7443b0b8f6116a2917dbd30","observation_id":"7e68a388-87ff-4fb5-9a2a-307f4a4545e1","resolution":{"observed_at":"2026-07-03T14:38:28.749607Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-07-12T07:34:02.473153Z","title":"arXiv preprint arXiv:2312.02201 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02712","last_updated":"2026-07-02T18:56:22Z","snapshot_observed_at":"2026-08-07T19:41:57.174465Z","submitted_at":"2026-07-02T18:56:22Z","title":"Global Pose Control for Generative View Synthesis in Normalized Object Coordinate Space","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-07-12T07:34:02.473153Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2607.02712"},"observation_digest":"sha256:4a573a3f3408e226029e409db458d230811bbc5693d337c842b7ca40122f2be4","observation_id":"176af51a-53d8-4fe7-a1ce-f802c8751766","resolution":{"observed_at":"2026-07-12T07:34:02.473153Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-07-14T10:25:21.251496Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10623","last_updated":"2026-07-20T15:29:09Z","snapshot_observed_at":"2026-08-08T11:28:58.333508Z","submitted_at":"2026-07-12T07:38:06Z","title":"LATO.2: Factorized 3D Mesh Generation with Vertex and Topology Flow","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-14T10:25:21.251496Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2607.10623"},"observation_digest":"sha256:3e94fbdfea9ffb0a6efc76f7d8037dd448d8a0440cfeb665c10cf650fa7cc4ca","observation_id":"17dfc7fe-48c4-449f-8a61-8332a741dc46","resolution":{"observed_at":"2026-07-14T10:25:21.251496Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-02T07:15:49.993248Z","title":"Imagedream: Image-prompt multi-view diffusion for 3d generation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10623","last_updated":"2026-07-20T15:29:09Z","snapshot_observed_at":"2026-08-08T11:28:58.333508Z","submitted_at":"2026-07-12T07:38:06Z","title":"LATO.2: Factorized 3D Mesh Generation with Vertex and Topology Flow","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T07:15:49.993248Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2607.10623"},"observation_digest":"sha256:b8b05996fc20f653e4f5d5bbea91489964597ce888cb31df11ae28af3eebcaa9","observation_id":"3b18f6bd-d2ba-4704-b94f-f1bbb5789462","resolution":{"observed_at":"2026-08-02T07:15:49.993248Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-02T06:23:47.774587Z","title":"arXiv:2312.02201 , eprint =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.12752","last_updated":"2026-07-15T04:28:35Z","snapshot_observed_at":"2026-08-07T19:36:05.834855Z","submitted_at":"2026-07-14T13:19:06Z","title":"Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation","version":2},"reference_index":203,"source":"arxiv_source","source_observed_at":"2026-08-02T06:23:47.774587Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2607.12752"},"observation_digest":"sha256:3f88ba15450fa95fecea4b1619325d91667964309bd297f90a2ec67fa210b884","observation_id":"8ee2aae6-b1a8-43c9-920d-c38e2792653c","resolution":{"observed_at":"2026-08-02T06:23:47.774587Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-08-02T02:55:42.308807Z","title":"ImageDream: Image-prompt multi-view diffusion for 3D generation.arXiv preprint arXiv:2312.02201, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.14203","last_updated":"2026-07-15T17:50:23Z","snapshot_observed_at":"2026-08-06T22:12:22.885620Z","submitted_at":"2026-07-15T17:50:23Z","title":"Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene Simulation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T02:55:42.308807Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2607.14203"},"observation_digest":"sha256:4ce0fc4059ffb1427778c9564883e506da922db987d231e0b90dea37883e8c8e","observation_id":"d4908dde-b001-4d08-ae08-a61a866131dd","resolution":{"observed_at":"2026-08-02T02:55:42.308807Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02201","snapshot_observed_at":"2026-07-31T15:54:56.519888Z","title":"Wang and Y","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.28164","last_updated":"2026-07-30T13:04:03Z","snapshot_observed_at":"2026-08-07T23:04:24.540182Z","submitted_at":"2026-07-30T13:04:03Z","title":"S-Avatar: Diffusion-Guided Gaussian Head Avatars from a Single Image","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-07-31T15:54:56.519888Z"},"links":{"cited_paper":"/paper/2312.02201","citing_paper":"/paper/2607.28164"},"observation_digest":"sha256:dcc739e7f2eb16b251c292ab770395292e167a4f0f2e27750b3dfe749cde036c","observation_id":"2e8c2832-85ab-4ba8-883c-d70d163f5824","resolution":{"observed_at":"2026-07-31T15:54:56.519888Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2312.02201/citation-record","integrity":"/paper/2312.02201/integrity","json":"/paper/2312.02201/citation-record.json","paper":"/paper/2312.02201"},"outbound":[],"paper":{"arxiv_id":"2312.02201","last_updated":"2023-12-02T20:41:27Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-04T13:49:28.484746Z","submitted_at":"2023-12-02T20:41:27Z","title":"ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 56 inbound Pith citation observations for arXiv:2312.02201."}