{"as_of":"2026-08-20T06:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:48cde411d07130dca80c22c0deb2230d59c002a51ef08f63af7bc5d39cd4aed1","coverage":[{"denominator":86,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":86,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T01:00:03.530759Z","state":"measured"},{"denominator":91,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":91,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:18:26.703293Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-09T18:06:25.594004Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.01801","snapshot_observed_at":"2026-08-16T12:18:26.703293Z","title":"Scenefactor: Factored latent 3d diffusion for control- lable 3d scene generation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.13072","last_updated":"2025-04-17T16:33:39Z","snapshot_observed_at":"2026-08-17T13:45:43.188469Z","submitted_at":"2025-04-17T16:33:39Z","title":"HiScene: Creating Hierarchical 3D Scenes with Isometric View Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T12:18:26.703293Z"},"links":{"cited_paper":"/paper/2412.01801","citing_paper":"/paper/2504.13072"},"observation_digest":"sha256:47f3d01ffba93eb188f19c4849e7245afbfcdbc26fab41304ca48206bc9af035","observation_id":"bcc82f80-07e2-41cd-b894-beaa82f6c2cc","resolution":{"observed_at":"2026-08-16T12:18:26.703293Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.01801","snapshot_observed_at":"2026-08-16T11:38:09.533246Z","title":"Scenefactor: Factored latent 3d diffusion for controllable 3d scene generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.15049","last_updated":"2025-04-21T12:12:43Z","snapshot_observed_at":"2026-08-19T14:39:45.920368Z","submitted_at":"2025-04-21T12:12:43Z","title":"ScanEdit: Hierarchically-Guided Functional 3D Scan Editing","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:09.533246Z"},"links":{"cited_paper":"/paper/2412.01801","citing_paper":"/paper/2504.15049"},"observation_digest":"sha256:0dc2c596b4c334ba92bc205b5eef1158adbc421db0a3a17607256af8cf076b65","observation_id":"5205ec47-83ca-4758-ba8f-1b5386c48b24","resolution":{"observed_at":"2026-08-16T11:38:09.533246Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.01801","snapshot_observed_at":"2026-08-15T23:06:02.712569Z","title":"SceneFactor: Factored latent 3D diffusion for controllable 3D scene genera- tion,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.05474","last_updated":"2025-05-08T17:59:54Z","snapshot_observed_at":"2026-08-18T02:21:32.205167Z","submitted_at":"2025-05-08T17:59:54Z","title":"3D Scene Generation: A Survey","version":1},"reference_index":191,"source":"pdf_text","source_observed_at":"2026-08-15T23:06:02.712569Z"},"links":{"cited_paper":"/paper/2412.01801","citing_paper":"/paper/2505.05474"},"observation_digest":"sha256:be33ec265c222e50d7ddebf49d0f63f7897084e43c989cf3a0ddae51d3c9ed8d","observation_id":"7b7cc31a-08da-42af-8bee-9c4fac8148bc","resolution":{"observed_at":"2026-08-15T23:06:02.712569Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.01801","snapshot_observed_at":"2026-08-15T18:41:41.308742Z","title":"Scenefactor: Factored latent 3d diffusion for controllable 3d scene generation.arXiv.org, 2412.01801,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.19117","last_updated":"2026-05-24T11:56:38Z","snapshot_observed_at":"2026-08-18T21:08:20.500441Z","submitted_at":"2025-06-23T20:47:18Z","title":"PrITTI: Primitive-based Generation of Controllable and Editable 3D Semantic Urban Scenes","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T18:41:41.308742Z"},"links":{"cited_paper":"/paper/2412.01801","citing_paper":"/paper/2506.19117"},"observation_digest":"sha256:29494f08a65d7ef0fe95bbde3a904e937a6ee93fbf4f81d62c481953f9e5bd68","observation_id":"78e697f0-caf7-43e1-ac89-ca944340ddb4","resolution":{"observed_at":"2026-08-15T18:41:41.308742Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"cited_work":{"arxiv_id":"2412.01801","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.01801","snapshot_observed_at":"2026-07-09T18:06:25.594004Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","venue":"cs.CV","work_id":"ca6298be-e029-40ba-9795-1391aeaef16a","year":2024},"citing_paper":{"arxiv_id":"2607.07187","last_updated":"2026-07-08T09:21:22Z","snapshot_observed_at":"2026-08-17T01:10:33.554451Z","submitted_at":"2026-07-08T09:21:22Z","title":"EditVerse3D: High-Quality 3D Object Editing with Region-Aware Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-09T18:01:22.816796Z"},"links":{"cited_paper":"/paper/2412.01801","citing_paper":"/paper/2607.07187"},"observation_digest":"sha256:1804660f96d21a6f881ab627206b1dbe87b5ec3522078469fba25c15ec25d69c","observation_id":"cef52fb8-e62c-46e8-8fe3-cbded83414c2","resolution":{"observed_at":"2026-07-09T18:06:25.595282Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.01801/citation-record","integrity":"/paper/2412.01801/integrity","json":"/paper/2412.01801/citation-record.json","paper":"/paper/2412.01801"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.150363Z","title":"Shapeglot: Learning language for shape differentiation","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.150363Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:177a5c404ac01e65bb3e873d72e84d5209e71d360f55a75b25de249c82ed264b","observation_id":"e178f2cd-5446-4134-a0b4-8ad1e508e8a7","resolution":{"observed_at":"2026-08-12T01:00:03.150363Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.09675","last_updated":"2024-02-05T01:59:31Z","snapshot_observed_at":"2026-08-16T14:21:36.680301Z","submitted_at":"2024-02-05T01:59:31Z","title":"Open-Universe Indoor Scene Generation using LLM Program Synthesis and Uncurated Object Databases","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.09675","snapshot_observed_at":"2026-08-12T01:00:03.156842Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.156842Z"},"links":{"cited_paper":"/paper/2403.09675","citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:e08c63dfa65e034e0790ac023a7920266f950b3f7466b8e7ac542b648d7ff95b","observation_id":"5f599ff5-65c0-4fb6-aef6-03504fc1c676","resolution":{"observed_at":"2026-08-12T01:00:03.156842Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.161125Z","title":"Blended diffusion for text-driven editing of natural images","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.161125Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:88f97f1c880b707da34ee072ee173df0fadd5d021a82068a90e1896ac54f910f","observation_id":"7ae65e36-b31e-4fdb-8d70-8ed19b8c37ec","resolution":{"observed_at":"2026-08-12T01:00:03.161125Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.165146Z","title":"Cc3d: Layout-conditioned generation of compositional 3d scenes","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.165146Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:2e96a899f4e94572727224148b38b2c97e537c2ba6964cd3ec1799bab116c199","observation_id":"4e3a5a8f-b946-4939-bce2-11ba2641b7fc","resolution":{"observed_at":"2026-08-12T01:00:03.165146Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.170372Z","title":"Text2live: Text-driven layered image and video editing","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.170372Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:c8b241e6289220e748b0ff95d564fa2e22ef12cb4df4c76ae5ed7572d8665eda","observation_id":"d019200f-b933-47b4-954c-57b60792d22a","resolution":{"observed_at":"2026-08-12T01:00:03.170372Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.174661Z","title":"Chan, Koki Nagano, Matthew A","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.174661Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:27b0e2222f29daec563456691a247a6cca35e9d46036796c5d331572fba73193","observation_id":"f9f8d413-1e21-47c2-a3b9-17e3e6ca39c6","resolution":{"observed_at":"2026-08-12T01:00:03.174661Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1512.03012","last_updated":"2015-12-09T19:42:48Z","snapshot_observed_at":"2026-08-15T22:26:43.274625Z","submitted_at":"2015-12-09T19:42:48Z","title":"ShapeNet: An Information-Rich 3D Model Repository","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1512.03012","snapshot_observed_at":"2026-08-12T01:00:03.179838Z","title":"Shapenet: An information-rich 3d model repository","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.179838Z"},"links":{"cited_paper":"/paper/1512.03012","citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:5b1f8d1fa1afa8a68e907d060503cc7855e06f06ab1b0d18bda16c0993506401","observation_id":"0a8c0690-2417-48c5-9906-727783ede2c3","resolution":{"observed_at":"2026-08-12T01:00:03.179838Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.185269Z","title":"Learning graph variational au- toencoders with constraints and structured priors for condi- tional indoor 3d scene generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.185269Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:064b6d80e133f5c23a10e87ec84943ef8ff0b5844e98ef08182269b43d3c8ae1","observation_id":"d4c36013-2919-4e09-adac-0ef7b738c08b","resolution":{"observed_at":"2026-08-12T01:00:03.185269Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.756509Z","title":"Learning generative models of 3d structures","venue":null,"work_id":"6202764f-8d67-4800-8c1d-49ced90f4c1a","year":2020},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.189481Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:a2406817d7aedb8155e229cc10ed7e1ed409aafddd708e9beeffa69c74d819e5","observation_id":"e8698fa7-32ef-4351-90e1-a5c37caf4bbe","resolution":{"observed_at":"2026-08-12T01:00:04.760419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.743844Z","title":"Fan- tasia3d: Disentangling geometry and appearance for high- quality text-to-3d content creation","venue":null,"work_id":"4a0f86aa-c950-4329-89ce-78e4be7c1fe7","year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.194880Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:c65ce80a9fd6319719b71e0d62226b1ed466044d6a461acb36cf362f3c2f9385","observation_id":"8e6bec6f-e69c-416e-b0d3-064083056b67","resolution":{"observed_at":"2026-08-12T01:00:04.748252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.731227Z","title":"SDFusion: Multimodal 3d shape completion, reconstruction, and generation","venue":null,"work_id":"29e01da8-cf6b-401a-886f-4ff1e39d2883","year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.198801Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:deeac445e0f4f60db4598a6f143e239968b9748e9af4b75108382b0b25d67ce8","observation_id":"3acc7caa-33cd-4874-b44d-318cd9f0550f","resolution":{"observed_at":"2026-08-12T01:00:04.735562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.718469Z","title":"Diffusion-sdf: Conditional generative modeling of signed distance func- tions","venue":null,"work_id":"f26aeef2-e88e-40c8-8cd1-4f2a71cc8e17","year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.203131Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:aa6bbf5fdd85df2d56d08e9885d8a982858d58cb118abc1062081cda80e22585","observation_id":"909b8a0b-9ddf-4a8b-8a69-31e33c127a11","resolution":{"observed_at":"2026-08-12T01:00:04.722757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.702745Z","title":"ProcTHOR: Large-Scale Embodied AI Using Procedural Generation","venue":null,"work_id":"2628a311-91b5-43eb-9e51-c76329ddb4b1","year":2022},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.207095Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:55f89959b6385adb4c2f7969aa985d3c147145b7a4cd160dbf287d0db8fb24d0","observation_id":"21c7b87e-1089-4d1c-985e-ebae9834c164","resolution":{"observed_at":"2026-08-12T01:00:04.707865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.688865Z","title":"Turboedit: Text-based image editing using few-step diffusion models, 2024","venue":null,"work_id":"72c09f3f-ceb6-46ff-8fe9-566f5d8eb26a","year":2024},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.211863Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:7eb85c5932fcb49e81668b232b626ff2e31311c6605a82efc62fe205b1a20416","observation_id":"f9d5b45b-0b16-4d2c-ae67-dd32f98eef19","resolution":{"observed_at":"2026-08-12T01:00:04.693730Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.218484Z","title":"Bert: Pre-training of deep bidirectional trans- formers for language understanding","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.218484Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:665bc0c5491d5d1d22f40280ea39098ac0fbc0defd4a6afbffc44fb20a57d9ce","observation_id":"b05bc5e9-50b3-4ee0-99cc-0ed8a3d2c790","resolution":{"observed_at":"2026-08-12T01:00:03.218484Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.669305Z","title":"Graph-to-3d: End-to-end generation and ma- nipulation of 3d scenes using scene graphs","venue":null,"work_id":"9e1edd80-0362-4598-b278-6307a4462514","year":2021},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.223521Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:4d9ffe6102c785a12a1a9ec6a7db1e0bf8642de49c497b141d0286b07e9dd827","observation_id":"645edb1e-bfef-4bd4-82ee-dbcf493df56b","resolution":{"observed_at":"2026-08-12T01:00:04.673703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.657292Z","title":"Diffusion models beat gans on image synthesis","venue":null,"work_id":"55776467-6316-4e5a-8c68-853051f3f9a7","year":2021},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.228114Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:259cde318e103edba97a85203312ca8b0e9c407f386915a8beed56144340592c","observation_id":"8d818dae-8ea7-4a2b-8c1a-f8e67ecd5d47","resolution":{"observed_at":"2026-08-12T01:00:04.661189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.645420Z","title":"Hyperdiffusion: Generating implicit neural fields with weight-space diffusion","venue":null,"work_id":"cf666789-b96f-43ee-83d1-33085056b992","year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.232373Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:176a5d2f1e8dbed8b6f50b9f6c040b6ee0a1a69b828810ba7bbf3544c6a71578","observation_id":"9c8a1857-b191-4ff9-9e35-739a47d2a1b8","resolution":{"observed_at":"2026-08-12T01:00:04.649733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.236405Z","title":"Ctrl- room: Controllable text-to-3d room meshes generation with layout constraints","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.236405Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:637428b971fb195f7c3a8916721122e27698a55ae3317f8d4c6ae35bf6b8759e","observation_id":"290b6ca3-08b3-4ee2-b139-06662fc46a57","resolution":{"observed_at":"2026-08-12T01:00:03.236405Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.01133","last_updated":"2023-05-30T08:52:45Z","snapshot_observed_at":"2026-08-17T16:02:00.474920Z","submitted_at":"2023-02-02T14:47:19Z","title":"SceneScape: Text-Driven Consistent Scene Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.01133","snapshot_observed_at":"2026-08-12T01:00:03.240734Z","title":"Scenescape: Text-driven consistent scene generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.240734Z"},"links":{"cited_paper":"/paper/2302.01133","citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:0b6b52b4bb8f129fac82a3c09a06ea1db6e5d7bc74fcdf3692db3209aa9cc2b2","observation_id":"630b1cc0-4af6-464e-8c63-e581e495f7f0","resolution":{"observed_at":"2026-08-12T01:00:03.240734Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.247315Z","title":"3d-front: 3d furnished rooms with layouts and semantics","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.247315Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:8f7d16ee6360ec3fbd6bb84bdc63e15ad3e85125b09dd5358d1e1eb1b9f756dc","observation_id":"2e495c55-f887-4e54-9c9a-1a653bdc6aa8","resolution":{"observed_at":"2026-08-12T01:00:03.247315Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.622707Z","title":"3d-future: 3d fur- niture shape with texture","venue":null,"work_id":"d6b9872b-ab2c-4f86-833f-e55988be30b4","year":2021},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.251720Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:f8a4685aeb61299001ac747a328d56cf5fc5dd0543aa9192ea020af0e328fe4b","observation_id":"31a1920a-0b33-4786-b50f-bef011adccb0","resolution":{"observed_at":"2026-08-12T01:00:04.628239Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.604203Z","title":"Scenehgn: Hierarchical graph net- works for 3d indoor scene generation with fine-grained ge- ometry","venue":null,"work_id":"b61d4b95-cf62-4c26-8041-f0bc9ebd66d6","year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.256198Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:4a26ac31fab30c7e106172d080520d00d19f26d469dd3550fbca7bd18e9f4604","observation_id":"e4dbfc2f-801c-47b5-8f62-2814c5251bb6","resolution":{"observed_at":"2026-08-12T01:00:04.609889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1606.08415","last_updated":"2023-06-06T01:53:32Z","snapshot_observed_at":"2026-08-13T19:48:28.322536Z","submitted_at":"2016-06-27T19:20:40Z","title":"Gaussian Error Linear Units (GELUs)","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.08415","snapshot_observed_at":"2026-08-12T01:00:03.260686Z","title":"Gaussian error linear units (gelus)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.260686Z"},"links":{"cited_paper":"/paper/1606.08415","citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:2c5a43d118209df9f6c79093f1aa3d43769c40bb8bcc1ed9eca3a1619b892b0d","observation_id":"f91222ca-64b7-44d1-b467-553c687bd573","resolution":{"observed_at":"2026-08-12T01:00:03.260686Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.11239","last_updated":"2020-12-16T21:15:05Z","snapshot_observed_at":"2026-08-10T05:21:27.485481Z","submitted_at":"2020-06-19T17:24:44Z","title":"Denoising Diffusion Probabilistic Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.11239","snapshot_observed_at":"2026-08-12T01:00:03.265450Z","title":null,"venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.265450Z"},"links":{"cited_paper":"/paper/2006.11239","citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:09a6aacbe4b82e8453e583aba0f6a51fa1709c0d9676311d9da91b0bbc4c2a7a","observation_id":"421adb60-e815-42f7-b037-13d0020aa377","resolution":{"observed_at":"2026-08-12T01:00:03.265450Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.270481Z","title":"Denoising dif- fusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.270481Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:ef381b6bca9115283254864ffcf6dfa9ca51313ccec649ddd2c08956e390f0ce","observation_id":"72e933bb-8926-462d-b3ee-23301a9f088f","resolution":{"observed_at":"2026-08-12T01:00:03.270481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.583622Z","title":"Long short-term memory","venue":null,"work_id":"80518c48-3889-466d-9adc-4a63010ce5d2","year":1997},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.275766Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:14d4f1ac0949afdf50e16e37a2cdd595419a9af3210838e52ba354065a50d20a","observation_id":"0d0204db-fca8-4898-b96e-9497cc6c83c9","resolution":{"observed_at":"2026-08-12T01:00:04.587646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.569118Z","title":"Text2room: Extracting textured 3d meshes from 2d text-to-image models","venue":null,"work_id":"85710d02-34fc-4a48-a763-ca1a1e5a66bc","year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.281796Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:7a5a3c328b1ec14478eacfcb388ccb93b8681cbac9dca30f1677c0f043523258","observation_id":"3dab3028-96a3-49e1-816a-8741e23b4665","resolution":{"observed_at":"2026-08-12T01:00:04.573895Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.01698","last_updated":"2018-02-05T21:31:21Z","snapshot_observed_at":"2026-08-18T14:33:19.565319Z","submitted_at":"2018-02-05T21:31:21Z","title":"Robust Watertight Manifold Surface Generation Method for ShapeNet Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.01698","snapshot_observed_at":"2026-08-12T01:00:03.285512Z","title":"Robust water- tight manifold surface generation method for shapenet mod- els","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.285512Z"},"links":{"cited_paper":"/paper/1802.01698","citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:96f7ecf324311ce0583d382bcd5d6ed115841f2f00895d524a4a69071c773a00","observation_id":"0410c1fc-7969-4488-8d13-7f609bf7c3c4","resolution":{"observed_at":"2026-08-12T01:00:03.285512Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.556536Z","title":"Diffindscene: Diffusion-based high-quality 3d indoor scene generation","venue":null,"work_id":"da21499f-dbcb-43e8-92cf-4aa04ddaccb2","year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.290476Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:3a30d5a66ca345c8560274b91fc9eb69123c12af26df44357ded619037fb934c","observation_id":"f87e7294-fabd-4a39-9abf-2254360268fd","resolution":{"observed_at":"2026-08-12T01:00:04.560557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.294719Z","title":"Shap-e: Generating condi- tional 3d implicit functions, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.294719Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:c9f2d5d20a732238c886f969de1be9822e08e7bec101b1ab304056c852a8b7b2","observation_id":"acaad140-61e7-47d1-bee6-7cb76f82fbd2","resolution":{"observed_at":"2026-08-12T01:00:03.294719Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.538837Z","title":"Clip-mesh: Generating textured meshes from text using pretrained image-text models","venue":null,"work_id":"ce1b59a7-1b9c-4d3f-8e0f-f613e508b1e5","year":2022},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.299495Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:834ee124519acb7522b1592de3cbc677208e30a398e0fb0ef96c6a97da7155d9","observation_id":"b9c62f6c-defe-45c9-a12a-6f55d9ecbc21","resolution":{"observed_at":"2026-08-12T01:00:04.543236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.303418Z","title":"Adam: A method for stochastic optimization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.303418Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:0f277379c53ae8e15bef7b8e0a061016cb64ed973b0133d6553d28d07090c704","observation_id":"8c6288e7-ac7a-4646-8047-343414691ce9","resolution":{"observed_at":"2026-08-12T01:00:03.303418Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.515239Z","title":"Semcity: Semantic scene genera- tion with triplane diffusion","venue":null,"work_id":"9c5a0407-f9c4-4289-924f-823fbf05117b","year":null},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.308355Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:df8eb08a24f69af726edca4f1fdc045909372deda2d1b48932b3a4e67e70c82d","observation_id":"37db7ad4-f565-465e-b324-56ae9f679a8d","resolution":{"observed_at":"2026-08-12T01:00:04.524448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.501495Z","title":"Grains: Generative re- cursive autoencoders for indoor scenes","venue":null,"work_id":"95190b05-7f47-41f1-8cab-ed6a0de97c20","year":2018},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.312070Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:b91c9b8faf7879ad6746394e8e3c83961f7d31b78eb195fb6368e2871fc5ed1d","observation_id":"be6016f4-30ae-445d-b5a1-1ca08a0d0adf","resolution":{"observed_at":"2026-08-12T01:00:04.505738Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.487229Z","title":"Diffusion- sdf: Text-to-shape via voxelized diffusion","venue":null,"work_id":"e641ee34-4f89-4865-b081-31b52e7b207e","year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.316220Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:a857ee1e4f134458a3934ae7557bb615c91e07d88ddcb72d8e4fb2366ee939da","observation_id":"006b102a-0a10-44f5-a773-e9e42fa0d942","resolution":{"observed_at":"2026-08-12T01:00:04.492088Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.472502Z","title":"Editvae: Unsupervised parts-aware controllable 3d point cloud shape generation","venue":null,"work_id":"c9b021c9-d798-4c59-9dfe-4c317b96f590","year":2022},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.320424Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:1c101e77cccbb179829bcb1b25e8fdc9a3d9921ab89db1ee57cff73e467995b8","observation_id":"12f7afaa-b88a-47f6-a8dd-af4f84ba4c75","resolution":{"observed_at":"2026-08-12T01:00:04.477865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.324502Z","title":"Magic3d: High-resolution text-to-3d content creation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.324502Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:02cc8cecd0055648b7b3e5204b48adbc98b6efb5d5f13e9ebb8820a629f84bce","observation_id":"6fb1b97a-497a-459f-8533-8efc8af4d0a5","resolution":{"observed_at":"2026-08-12T01:00:03.324502Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.455036Z","title":"Decoupled weight de- cay regularization","venue":null,"work_id":"e834e23c-2328-4279-ae8c-3dbaca7cd502","year":2017},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.328258Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:5d8264351b4174dbbcc050a2ddcf70aeaa1eb8bfda24479bea9eebdfed05f175","observation_id":"f1a8658e-1033-4994-b47d-3066a21d3a5d","resolution":{"observed_at":"2026-08-12T01:00:04.458762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.331773Z","title":"Repaint: Inpainting using denoising diffusion probabilistic models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.331773Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:87caf26effac4e531827339f046fa667a6d84a1ec7911b62f1c737c7e37b9eab","observation_id":"1773ea35-d33c-40dc-9610-86103b416bf6","resolution":{"observed_at":"2026-08-12T01:00:03.331773Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.434179Z","title":"AutoSDF: Shape priors for 3d completion, reconstruction and generation","venue":null,"work_id":"f7ef13b0-b8cf-42b1-81d5-69ac872daec3","year":2022},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.335995Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:7027252940c6a2e2e7eb6eb9a858c3b202c020a8554368272f971a918ca73ee5","observation_id":"bd80021a-cddd-48c8-b1e5-58b94131139f","resolution":{"observed_at":"2026-08-12T01:00:04.438543Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.08453","last_updated":"2023-03-20T10:52:26Z","snapshot_observed_at":"2026-08-13T05:43:28.614772Z","submitted_at":"2023-02-16T17:56:08Z","title":"T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.08453","snapshot_observed_at":"2026-08-12T01:00:03.340001Z","title":"T2i- adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.340001Z"},"links":{"cited_paper":"/paper/2302.08453","citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:8f304a69d7f15036036a67bfe5756a9322b37976f245af7281150c14b7f52c1e","observation_id":"7c2dfc8f-ba7d-470b-b87c-3979f56f4d24","resolution":{"observed_at":"2026-08-12T01:00:03.340001Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.420153Z","title":"Difffacto: Con- trollable part-based 3d point cloud generation with cross dif- fusion","venue":null,"work_id":"95c2addf-31b1-40eb-bf2e-11aa55860f73","year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.345600Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:9d075fa7d5d2e379776c57ff0bf75e734a9e0808a76f6806a97ad428f903c17e","observation_id":"616174b4-2dce-42cb-8ea6-a03b6950b696","resolution":{"observed_at":"2026-08-12T01:00:04.425180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.402361Z","title":"Polygen: An autoregressive generative model of 3d meshes","venue":null,"work_id":"9fee8559-4d5d-4b6a-ad3c-bec12b6c786b","year":2020},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.349578Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:8e41874d36cd874014bc734c43cedf63fa3088d1ca108ddf707a74b80671e277","observation_id":"83ee4222-b489-49ed-9cbf-4763cd580ba5","resolution":{"observed_at":"2026-08-12T01:00:04.409958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.386288Z","title":"Learning 3d scene priors with 2d supervision","venue":null,"work_id":"7de5049d-1acc-42ca-849d-91734093e048","year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.353775Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:1da164360e16e313c77a4c71f8bc10ca44aaac67553e5262a3308a7d63c4fa6d","observation_id":"107fdaaf-0a8a-4d29-8fcb-3c69b096abf7","resolution":{"observed_at":"2026-08-12T01:00:04.391139Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.371987Z","title":"Atiss: Autoregres- sive transformers for indoor scene synthesis","venue":null,"work_id":"bb692075-6b46-443f-a0ef-e657b6e07ada","year":2021},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.357569Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:b37f323def6fb22b15a0686b210fb539942d2c973d7ba00b776389d0a6ebd0b2","observation_id":"fedfe259-fe00-4d4a-bba0-e016e1a84960","resolution":{"observed_at":"2026-08-12T01:00:04.376368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.357285Z","title":"Advances in data-driven analysis and syn- thesis of 3d indoor scenes","venue":null,"work_id":"7272fb69-993d-4d03-bf52-5cd926f72dbe","year":null},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.362708Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:d7d39ca073337b12778022b05425d69c1d860047718084e22af79006adeb585b","observation_id":"e4b19f12-a225-4116-b62b-5804307ced1e","resolution":{"observed_at":"2026-08-12T01:00:04.362704Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.367209Z","title":"Scalable diffusion models with transformers","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.367209Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:c7242bf7791b1c56a4f5edc587d26f8dac53e541eac8adf0eec0c0324ea3d5b2","observation_id":"eb9c4fdd-6cca-4df0-8a5d-d691850c173a","resolution":{"observed_at":"2026-08-12T01:00:03.367209Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.370969Z","title":"Barron, and Ben Milden- hall","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.370969Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:7a3b42e233986ee1abc40098f7cf2268670c59ab83acb1245f10cfbbd1e99e21","observation_id":"515daf45-f182-4fed-9b8f-85ceabf45816","resolution":{"observed_at":"2026-08-12T01:00:03.370969Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.317159Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":"f9928d5a-da3b-427d-8a77-6823633db2de","year":2021},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.374745Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:ed836cb3c91d809f4d2759baa708d04ec54203cdf4466061a55791bc0f16de2e","observation_id":"7c5cc687-849c-4d10-8994-75f1d2ae83cf","resolution":{"observed_at":"2026-08-12T01:00:04.324605Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.301408Z","title":"Xcube: Large-scale 3d generative modeling using sparse voxel hierarchies","venue":null,"work_id":"4c04b1ce-1e6a-4fa9-9310-ed71c277c173","year":null},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.378898Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:c704770c973050db9a31ac3ba6c0e541dbc1971f428ef7c8950b2dcb05873d80","observation_id":"b48ab2cf-9c0a-4413-af87-3e829d1148ab","resolution":{"observed_at":"2026-08-12T01:00:04.305686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.383617Z","title":"High-resolution image syn- thesis with latent diffusion models, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.383617Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:021db40241324c2b07c0cb1017235f1e0818b5eceec7b7280731854960a90507","observation_id":"10591ceb-a4f2-404f-bdb2-ca597918cde2","resolution":{"observed_at":"2026-08-12T01:00:03.383617Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.279305Z","title":"Geodiffuser: Geometry-based image editing with diffusion models, 2024","venue":null,"work_id":"a3fcdebe-e8af-448a-b448-15712be8a7b8","year":2024},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.387634Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:044f584850b941da2a046eb695cd95e2316d4b7e9dc39c7b5c7d5686f7045751","observation_id":"92368676-aebc-4346-a191-80da5dedc823","resolution":{"observed_at":"2026-08-12T01:00:04.284343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.266223Z","title":"Controlroom3d: Room generation using semantic proxy rooms","venue":null,"work_id":"03c20d7c-3aee-406f-871a-e01656a8d7aa","year":2024},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.391724Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:cad61ab9b1d47958974097f5d2a813a2fd8060664734c1a3c158b288c70ba0e3","observation_id":"0197fa93-a494-417a-a25c-8379406e6f3f","resolution":{"observed_at":"2026-08-12T01:00:04.270576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.252896Z","title":"3d-aware indoor scene synthesis with depth priors","venue":null,"work_id":"05128da3-0b64-4da2-8395-481df2c41a4d","year":2022},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.396005Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:3b127a83c39e6f8797c9490cc792a743b7d25ce4245a64f608b84015ef94ef9c","observation_id":"36605ce6-f93c-4dee-aca2-27742c27fcf1","resolution":{"observed_at":"2026-08-12T01:00:04.257402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.236164Z","title":"3d neural field generation using triplane diffusion, 2023","venue":null,"work_id":"f04ea7d9-ebf9-4654-be9b-69e8b0ab5e48","year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.399652Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:ca8ca18852f6f1f0aa00f9426bf6dbb24843901d2e0b3232f0c4503ee05d8c72","observation_id":"d7505de9-f721-4d0d-8e44-949eeadd49c8","resolution":{"observed_at":"2026-08-12T01:00:04.241407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.221215Z","title":"Meshgpt: Generating triangle meshes with decoder-only transformers","venue":null,"work_id":"38d6e602-862d-4107-a517-9d8053b34bf1","year":2024},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.403720Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:306a760706080fe6f311b79153cddae99b24d6c14cd8113bfe9bb0ba732c9002","observation_id":"bb8af2cb-0fe6-4489-bb8d-0d5060a7869d","resolution":{"observed_at":"2026-08-12T01:00:04.226502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.407608Z","title":"Deep unsupervised learning using nonequilibrium thermodynamics","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.407608Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:ea9b9292d0b1a3e95ec8b73c999bbe1f2ba7bf416c2af0bfed91faf303698074","observation_id":"28c2bab2-1e1c-44fb-8262-699989bc53a5","resolution":{"observed_at":"2026-08-12T01:00:03.407608Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.198584Z","title":"Roomdreamer: Text-driven 3d indoor scene synthesis with coherent geome- try and texture, 2023","venue":null,"work_id":"c57f1e8e-118a-4799-a371-16b711858302","year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.411315Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:58f23ef86a04ccf6a44c751bfdd964f727ef2f96f3050ecdf41f71e442d5251e","observation_id":"6e0824b3-b839-4338-a08b-c7a4fa2b88e7","resolution":{"observed_at":"2026-08-12T01:00:04.203409Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.185767Z","title":"Dual diffusion implicit bridges for image-to-image transla- tion","venue":null,"work_id":"5a5ad408-cce6-4cf9-a2c8-674411882b05","year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.415102Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:0cb8456a634115780db0ae613fb28eb623422ae045510298578bb9b343f4a492","observation_id":"d9f84d4e-a214-4f75-9d50-af86a5a0a2dd","resolution":{"observed_at":"2026-08-12T01:00:04.189890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.172633Z","title":"Diffuscene: Denoising dif- fusion models for gerative indoor scene synthesis","venue":null,"work_id":"23943c54-479a-4026-bbd0-ab282b4a8655","year":2024},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.418930Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:7945399279f068fa553319d18a97476f78de359306b0c94a1c819a1f5b58c016","observation_id":"fb11570f-543e-40ff-a794-aa19530ac914","resolution":{"observed_at":"2026-08-12T01:00:04.176732Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.160197Z","title":"Introducing qwen1.5, 2024","venue":null,"work_id":"c5eab44b-2584-43a4-8d47-0f3bc1f40038","year":2024},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.422493Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:dcb6015380924b3c37713a15d9f4dd4961628892ccfe354a34ce9d47cd5fdfac","observation_id":"760d4609-ebe9-4f3d-9d5d-5e5422336575","resolution":{"observed_at":"2026-08-12T01:00:04.164769Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.148298Z","title":"Generating part-aware editable 3d shapes without 3d supervision","venue":null,"work_id":"9ac4c0f8-a30a-4771-8b10-e70b980bc435","year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.426026Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:1ba9bd0b5ab3dde747f536d35665d9ba6424f27cca95a681824a7c7bd14f3b96","observation_id":"6acf6586-145c-45b9-8331-9d6bc11ad1e5","resolution":{"observed_at":"2026-08-12T01:00:04.152518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.430393Z","title":"Neural discrete representation learning","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.430393Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:90328db86136140fa5a985bac97a6d7f65a1470f60f3ccd4596af59fb27bf4b0","observation_id":"15587498-c26c-41d3-af5b-d63562d45914","resolution":{"observed_at":"2026-08-12T01:00:03.430393Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.127797Z","title":"Deep convolutional priors for indoor scene synthe- sis","venue":null,"work_id":"dab85773-a771-435a-ad58-ba99aeed6ff5","year":2018},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.433873Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:61e516679d5d8149471777926f118eb662bb312c8a471bbb339dff352e0e098d","observation_id":"07618f4c-b947-40b7-94d9-2eab5ea4d89f","resolution":{"observed_at":"2026-08-12T01:00:04.132316Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.111712Z","title":"Dual octree graph networks for learning adaptive volumetric shape rep- resentations","venue":null,"work_id":"fc0db493-bab5-4c6c-b890-1859f5afa6f1","year":2022},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.437508Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:c75472ee3a881ba2637c7f7df04f93bb4f6a6529b87a785d6a6cd7c6dd44287f","observation_id":"b39c1dd2-c01f-4b98-8ef7-7a8017acb4ce","resolution":{"observed_at":"2026-08-12T01:00:04.117966Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.16213","last_updated":"2023-11-22T07:34:38Z","snapshot_observed_at":"2026-08-18T13:58:32.234911Z","submitted_at":"2023-05-25T16:19:18Z","title":"ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.16213","snapshot_observed_at":"2026-08-12T01:00:03.441123Z","title":"Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.441123Z"},"links":{"cited_paper":"/paper/2305.16213","citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:03d399a929ec3e5a2f9a76d12d40c5aec67ce6f759b2d327f3d582a38ad683ba","observation_id":"695aa44e-3813-4177-8c6f-da525697873f","resolution":{"observed_at":"2026-08-12T01:00:03.441123Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.09629","last_updated":"2023-03-24T22:49:15Z","snapshot_observed_at":"2026-08-17T14:03:23.294445Z","submitted_at":"2023-01-23T18:58:02Z","title":"LEGO-Net: Learning Regular Rearrangements of Objects in Rooms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.09629","snapshot_observed_at":"2026-08-12T01:00:03.445331Z","title":"Lego-net: Learning regular rearrangements of ob- jects in rooms","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.445331Z"},"links":{"cited_paper":"/paper/2301.09629","citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:63a0872147bfb1b6eb1a0abc3b3ab2c7afe78cb3e7f8d2fafd4cd707a8473780","observation_id":"75eced4c-2c36-4605-a00a-194d59c02346","resolution":{"observed_at":"2026-08-12T01:00:03.445331Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.097722Z","title":"Tenenbaum","venue":null,"work_id":"33468295-c33f-446e-8cb7-0ac43a346b65","year":2016},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.449258Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:947b73f1b0c841ded3756ee51c11e05ced7812887a5bfc51892167571639061d","observation_id":"a91ff93e-7828-49af-8d76-b05549d1f41c","resolution":{"observed_at":"2026-08-12T01:00:04.102464Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.082370Z","title":"Blockfusion: Expand- able 3d scene generation using latent tri-plane extrapolation","venue":null,"work_id":"24b69d19-6179-4934-94c6-588a3d08b383","year":2024},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.453879Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:15e6462683246e6ffa4a6074f0c184b8967ee798a2a5d8c16d54eef487ab9523","observation_id":"5d4ab55a-f13b-478d-9f2a-c11dc8af1655","resolution":{"observed_at":"2026-08-12T01:00:04.087816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.067162Z","title":"Empirical evaluation of rectified activations in convolutional network","venue":null,"work_id":"4624832f-ce6b-4764-af24-dd97ba5dc5d5","year":null},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.457892Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:a6c3fd8f10ed0daea47e8d3ba0fed59ade864f533a17f7e0b17eeb4fa44a394b","observation_id":"94d5bfd8-36e7-4e8b-9629-d41b61b9c899","resolution":{"observed_at":"2026-08-12T01:00:04.072000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.16210","last_updated":"2024-08-30T17:39:50Z","snapshot_observed_at":"2026-08-16T14:06:56.206654Z","submitted_at":"2024-03-24T16:09:21Z","title":"Frankenstein: Generating Semantic-Compositional 3D Scenes in One Tri-Plane","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.16210","snapshot_observed_at":"2026-08-12T01:00:03.462217Z","title":"Frankenstein: Gen- erating semantic-compositional 3d scenes in one tri-plane","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.462217Z"},"links":{"cited_paper":"/paper/2403.16210","citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:ec84302642b84baf08f79cc388f9e767ce003f0b8121813c1fd601d5e01b4ebb","observation_id":"3f6b23a4-ee1b-463b-a2ee-52b1422ae938","resolution":{"observed_at":"2026-08-12T01:00:03.462217Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.052326Z","title":"Mitra, Dani Lischin- ski, Danny Cohen-Or, and Hui Huang","venue":null,"work_id":"92ecbc4c-b85e-4691-b55b-7843ee8d0628","year":2022},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.468167Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:ca6c3236731abe8f3939adc9d180624523e0d72e6f774b571f7a8b635128a307","observation_id":"342e3ed0-21ae-43fb-a18c-b567b50482b9","resolution":{"observed_at":"2026-08-12T01:00:04.058176Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.037688Z","title":null,"venue":null,"work_id":"19e62995-5202-4afe-94f6-ddfe097e283c","year":2019},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.472361Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:78ca5307f975492bdc3a075a2c665adc694af71ddf11fe321dfe54843f65a5d9","observation_id":"22bb325c-7331-4737-84fd-f9dbe210b6cf","resolution":{"observed_at":"2026-08-12T01:00:04.042440Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.09067","last_updated":"2024-04-22T20:06:03Z","snapshot_observed_at":"2026-08-17T14:08:28.559183Z","submitted_at":"2023-12-14T16:04:14Z","title":"Holodeck: Language Guided Generation of 3D Embodied AI Environments","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.09067","snapshot_observed_at":"2026-08-12T01:00:03.476657Z","title":"Holodeck: Language guided generation of 3d embodied ai environ- ments","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.476657Z"},"links":{"cited_paper":"/paper/2312.09067","citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:5a45cc6f89c908a735df0fcf75bfc48378d76fdafc2e2f7c595ae6df22f365c4","observation_id":"0c454dac-f3d8-44ca-bf6a-e702dbcbffcd","resolution":{"observed_at":"2026-08-12T01:00:03.476657Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:04.020191Z","title":"Commonscenes: Generating commonsense 3d indoor scenes with scene graph diffusion","venue":null,"work_id":"55b10dcf-c75b-4d3d-b70e-c9c26ec17ee7","year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.481095Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:5d869521c5789d11477d23c148eae6405d2fece52eae1426a77fb87a4099baf0","observation_id":"0ef6fcbf-885f-4452-a747-41c837760050","resolution":{"observed_at":"2026-08-12T01:00:04.026810Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.11588","last_updated":"2024-01-31T10:15:08Z","snapshot_observed_at":"2026-08-16T15:31:45.234123Z","submitted_at":"2023-05-19T10:58:04Z","title":"Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.11588","snapshot_observed_at":"2026-08-12T01:00:03.484832Z","title":"Text2nerf: Text-driven 3d scene generation with neural radiance fields","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.484832Z"},"links":{"cited_paper":"/paper/2305.11588","citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:d68f767bbc21231d2c7d3d8ef81b97857cc4b659495956d579dfbc56aed230bb","observation_id":"243f23d2-8443-43ce-a96b-503b1a50b824","resolution":{"observed_at":"2026-08-12T01:00:03.484832Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.491770Z","title":"Adding conditional control to text-to-image diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.491770Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:1cd52486e52e4cd51bdbc25090f4515449cb6b700dae0c4511fc606fb18116f2","observation_id":"b2b29968-5068-47ee-a508-17b86618f46a","resolution":{"observed_at":"2026-08-12T01:00:03.491770Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.985546Z","title":"Fast 3d indoor 11 scene synthesis by learning spatial relation priors of objects","venue":null,"work_id":"861ae1cd-d2d9-4861-9bdf-2be0f01ebaad","year":2022},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.495704Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:f1e0fad6994f33e4d5ab4d6ac877aec8ca46ec271699e2cb83175066e8a4e51d","observation_id":"9e373351-41fe-437f-8c45-d1bf784b9387","resolution":{"observed_at":"2026-08-12T01:00:03.991498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.967896Z","title":"Michelangelo: Conditional 3d shape generation based on shape-image-text aligned latent representation","venue":null,"work_id":"c38778e9-7a2d-4b18-8c0b-72d290365737","year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.500481Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:696c836313ce44240cfee97377a9972fcffa846f87c937f44abe9ff6e83659b4","observation_id":"f7583522-11a3-47fc-a903-5d60ed55da7c","resolution":{"observed_at":"2026-08-12T01:00:03.974332Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.947982Z","title":"Locally attentional sdf diffusion for controllable 3d shape generation","venue":null,"work_id":"85103a75-8ff0-4b0a-ab71-270512086937","year":2023},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.505380Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:cbfe48c5bb67866fd5dfd0005fe41ea111289687b25adbf3cb354e4d99d0456f","observation_id":"78112065-3cf6-44fc-a4ab-49fe8beb581d","resolution":{"observed_at":"2026-08-12T01:00:03.953927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.930435Z","title":"3d shape generation and completion through point-voxel diffusion","venue":null,"work_id":"bc6a7565-6bdd-4a58-b0d4-9abd93990bc6","year":2021},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.509584Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:7940ff0e458239292a780182a0a1464eb8e8b06d45b31296d6a19b5972278218","observation_id":"9a5b0994-8f48-4654-a897-1a33de131d1c","resolution":{"observed_at":"2026-08-12T01:00:03.935692Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.908599Z","title":"To make 3D-FRONT [21] data suitable for training and testing, we first combine 3D furniture and 3D scene meshes using 3D-FRONT annotation","venue":null,"work_id":"76af12fd-d31b-4d53-9679-19ac65396912","year":null},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.513983Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:c6ef48873fa8f431b94910bf08a9619a81ce7f96a1908e52a43fb9c803ef6c11","observation_id":"8be11240-cc39-4740-a17c-dbc4ec3e065d","resolution":{"observed_at":"2026-08-12T01:00:03.918277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.884952Z","title":null,"venue":null,"work_id":"436db0e7-0344-41ec-8888-5af161cdf2b0","year":null},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.518953Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:cd79bcbc9d631a46b4f734852c98654a6bf778e8509b800e1dd4d5852710309b","observation_id":"fa7fca27-91f7-48ba-8380-7923843931f3","resolution":{"observed_at":"2026-08-12T01:00:03.890627Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.866155Z","title":null,"venue":null,"work_id":"bad9b1f9-374c-465a-a795-c8a012bc529d","year":null},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.523740Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:9785e2e12f655a960a3f13ee25d5500f437c2fae4f9c18f8d88e16ef77a08706","observation_id":"127185e0-f0c9-4b09-b930-7efffbf7f63b","resolution":{"observed_at":"2026-08-12T01:00:03.872074Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"0210.2210","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T01:00:03.641439Z","title":null,"venue":null,"work_id":"3435bce2-7b5e-40aa-99aa-49ce17171cc0","year":null},"citing_paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","version":2},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-12T01:00:03.530759Z"},"links":{"citing_paper":"/paper/2412.01801"},"observation_digest":"sha256:26230711509e2ec0936a98a094b5ab18f912e7915611cc8f8c9cacb4789d8c75","observation_id":"30699a12-140a-4067-87f2-0c93badc3433","resolution":{"observed_at":"2026-08-12T01:00:03.648226Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.01801","last_updated":"2024-12-03T10:32:05Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-18T19:23:39.846063Z","submitted_at":"2024-12-02T18:47:41Z","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation"},"reference_resolution":{"displayed":86,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":35,"verified_exact":1,"verified_fuzzy":50},"total_outbound_references":86},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 5 inbound Pith citation observations for arXiv:2412.01801."}