{"as_of":"2026-08-13T02:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b406604194a8e8087f9a15bfb4d9c32f845cceca3001ca703417112f7a6e32a7","coverage":[{"denominator":70,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":70,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-08T17:46:01.513433Z","state":"measured"},{"denominator":70,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":70,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2605.04412/citation-record","integrity":"/paper/2605.04412/integrity","json":"/paper/2605.04412/citation-record.json","paper":"/paper/2605.04412"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T14:37:16.225324Z","title":"Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851","venue":null,"work_id":"82ba805b-3e59-43c6-b37f-3aa1940eea68","year":2020},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:81155bc5b42ea06bca5d187075777d4bafcc64d4ba0ff216d7ca0478f665fc37","observation_id":"4e4311b9-6a31-4df6-be0b-07a4aa468f9b","resolution":{"observed_at":"2026-05-26T06:46:53.833284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-08-11T15:38:14.931716Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":"2010.02502","doi":"10.48550/arxiv.2010.02502","metadata_source":"pith","pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Denoising Diffusion Implicit Models","venue":"cs.LG","work_id":"8fa2128b-d18c-405c-ac92-0e669cf89ac0","year":2020},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:ee6ef5e043f53ebe7f494c045133959ec48f095b73cadb3a4a45635d24aa4b44","observation_id":"69e03fae-4712-4e45-ba38-c237cadd90ff","resolution":{"observed_at":"2026-05-11T17:16:07.486096Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-07-12T13:49:41.147667+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T13:49:41.147667+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-07-11T02:27:52.409989Z","title":"High- resolution image synthesis with latent diffusion models","venue":null,"work_id":"5427867b-47ba-4d43-a415-2912684a2d41","year":2022},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:7ec6454c88ca08fff1a7efd038f3e2a5db8075e2f1bf989ed75cfe8a889c95d8","observation_id":"6cab9232-e022-470b-8ef5-ca2ba1837e73","resolution":{"observed_at":"2026-05-26T06:46:53.837929Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.17807","last_updated":"2024-01-31T13:06:48Z","snapshot_observed_at":"2026-07-06T17:23:05.927644Z","submitted_at":"2024-01-31T13:06:48Z","title":"Advances in 3D Generation: A Survey","version":1},"cited_work":{"arxiv_id":"2401.17807","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.17807","snapshot_observed_at":"2026-07-01T00:25:09.869427Z","title":"Advances in 3d generation: A survey","venue":null,"work_id":"5e518ad7-f98d-40e8-9b03-847e2ecb266a","year":2024},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"cited_paper":"/paper/2401.17807","citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:bfd764135b667741efe482b2a02772736d0006bac818f53da58f532e4cffa627","observation_id":"06cc9dc1-dbff-4100-8a45-3134216c3728","resolution":{"observed_at":"2026-05-11T17:16:07.490761Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Combo- verse: Compositional 3d assets creation using spatially-aware diffusion guidance","venue":null,"work_id":"1b4ff247-3c40-4b09-9c53-b42bf1ebe58e","year":2024},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:c5ddd4e7064d32fe2bf3ca6268733d44cdb2fef73c609d7004500f2d010e45e5","observation_id":"1ec442c6-cf99-4b50-b9ea-d3ed5b4e175d","resolution":{"observed_at":"2026-05-26T06:46:53.844981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.14988","last_updated":"2022-09-29T17:50:40Z","snapshot_observed_at":"2026-07-06T13:57:54.539656Z","submitted_at":"2022-09-29T17:50:40Z","title":"DreamFusion: Text-to-3D using 2D Diffusion","version":1},"cited_work":{"arxiv_id":"2209.14988","doi":"10.48550/arxiv.2209.14988","metadata_source":"pith","pith_arxiv_id":"2209.14988","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"DreamFusion: Text-to-3D using 2D Diffusion","venue":"cs.CV","work_id":"7529df29-9980-4a8a-b55e-307e3c2f357b","year":2022},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"cited_paper":"/paper/2209.14988","citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:10b71ee658a332e168bf1278dcc51b6eb7c5184e3cdccb568864261660cd474b","observation_id":"5256c2f8-f1f5-401a-b80d-b1a36356cac5","resolution":{"observed_at":"2026-05-11T17:16:07.480252Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:01.924447+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:01.924447+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Zero-1-to-3: Zero-shot one image to 3d object","venue":null,"work_id":"9412bb34-1c5d-4d46-a884-4ddcb7ff26ed","year":2023},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:dedd2db084a1a64f4552972b23c1bb22f8fcc0d2da0b278dd785d291e3bf9130","observation_id":"65fa0f13-2260-4942-a8e1-480fae02a5ff","resolution":{"observed_at":"2026-05-26T06:46:53.850787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Structured 3d latents for scalable and versatile 3d generation","venue":null,"work_id":"85fd2680-0914-4150-9dc8-bee9ffa214e5","year":2025},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:270db01c3b694a892a9e09d81b2b86a1c07385da83ed4e7d2e04e5e04a2f86a6","observation_id":"0acd6511-5c3d-455d-897f-abb086c1127b","resolution":{"observed_at":"2026-05-26T06:46:53.621910Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2509.25079","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T23:49:02.896788Z","title":"arXiv preprint arXiv:2509.25079 , year=","venue":null,"work_id":"584ea93b-cf30-4c4f-a361-de8229c71626","year":2025},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:da591c18690eae02f7e6f71c6c710528d1f66a0ccbfe61f3452e6cb20312e04a","observation_id":"f31aeb58-47f9-4a06-a3e9-e6bc1ff5cd54","resolution":{"observed_at":"2026-05-11T17:16:07.537731Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12202","last_updated":"2026-05-14T15:41:39Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-21T15:16:54Z","title":"Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation","version":5},"cited_work":{"arxiv_id":"2501.12202","doi":"10.48550/arxiv.2501.12202","metadata_source":"pith","pith_arxiv_id":"2501.12202","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation","venue":"cs.CV","work_id":"c2c8fc56-8c16-45fa-a5d6-23c9c3d0720b","year":2025},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"cited_paper":"/paper/2501.12202","citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:7c7a86a0062994abc7f43cb6ae4420f744e9faf1acc2841966ae6b849c44b110","observation_id":"2f29fe39-966e-46fa-91df-f41d7d3dd28e","resolution":{"observed_at":"2026-05-11T17:16:07.589765Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Style injection in diffusion: A training-free approach for adapting large-scale diffusion models for style transfer","venue":null,"work_id":"e38432d0-996c-441b-8fc4-a0227d9a9b11","year":2024},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:ed68888ca0f81c853857fc7c1ca3270aac2f3306143676f07eedb8b9fde145f6","observation_id":"7010f48d-ccb3-48af-886e-ceb1cda24131","resolution":{"observed_at":"2026-05-26T06:46:53.636352Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Z*: Zero-shot style transfer via attention reweighting","venue":null,"work_id":"0faa9279-487e-467b-943d-277abf35fce7","year":2024},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:36ea0512abfd2eb930cf2ac67331f24fdfae5b5bdd9c86909f4a96f8f2cb88ce","observation_id":"40e50a74-66ab-4ca2-877c-ec0cd7b64e8d","resolution":{"observed_at":"2026-05-26T06:46:53.573630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Unziplora: Separating content and style from a single image","venue":null,"work_id":"8af3c22b-7d65-4550-9adc-77c34893c836","year":2025},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:cf762195eba01e51e3582bfc2117c5c5cc876509f63c881ca20400aef71f5134","observation_id":"8862b5c6-f1a2-42ed-be9f-a558ed93c6c2","resolution":{"observed_at":"2026-05-26T06:46:53.819726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Stylediffusion: Controllable disentangled style transfer via diffusion models","venue":null,"work_id":"2665ff0b-dfb6-4593-bf86-a0f1ce733aab","year":2023},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:d8f1031bddc23017692f0a9f6d78a434ef88be0c51ceb724bab7042ce77c06e7","observation_id":"41f20892-f034-43c8-a60a-4c2b34f670a2","resolution":{"observed_at":"2026-05-26T06:46:53.805761Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Stylessp: Sampling start- point enhancement for training-free diffusion-based method for style transfer","venue":null,"work_id":"adbff587-98e8-4fbd-8738-d34b7bf016e6","year":2025},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:94e2fc2a6baa2436a528e47c0b9410a6114c36c976fe03981affe5b55fd6dab0","observation_id":"881c1a70-c24b-497e-a7e3-40c85f297fd5","resolution":{"observed_at":"2026-05-26T06:46:53.578481Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Attention distillation: A unified approach to visual characteristics transfer","venue":null,"work_id":"a7089a02-fd27-4415-934a-e584730b817d","year":2025},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:b14453df6a4fe0e45c5058d0a910ff20b7960bd3e07a8812c8836b67d4551c50","observation_id":"603b76df-bdf3-4357-8066-8ea1cb5b8c26","resolution":{"observed_at":"2026-05-26T06:46:53.789265Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Stylesculptor: Zero-shot style-controllable 3d asset generation with texture-geometry dual guidance","venue":null,"work_id":"abca6536-1016-404d-9f75-be8a69da761a","year":2025},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:e71cbc4641167d23b0b61a0e0d21548b56b96ac60bec964b46c775effef25b67","observation_id":"0cfafc93-1349-495f-9f4e-09e67dff429c","resolution":{"observed_at":"2026-05-26T06:46:53.797719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2601.00204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Morphany3d: Unleashing the power of structured latent in 3d morphing","venue":null,"work_id":"fc926af6-e44b-4244-ac83-84d2c49a6132","year":2026},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:7dcf90260e5e8aa0b9775935ebbbc8db9505cb2d41b1416f4c3620ef274d1036","observation_id":"82500e42-218e-493a-bc87-aabda73bbba8","resolution":{"observed_at":"2026-05-11T17:16:07.548924Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-07-11T02:27:52.773054Z","title":"3d gaussian splatting for real-time radiance field rendering.ACM Trans","venue":null,"work_id":"4a48ade7-2802-4e75-aeb9-b58be572ed7b","year":2023},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:d9ad508fb6e9598d1addba813118b6e5873d6b291d7c3531d38ac902b5d1dca1","observation_id":"71593de9-6da9-4b4d-81f6-4fa07bfc1569","resolution":{"observed_at":"2026-05-26T06:46:53.782115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-07-09T06:36:03.295265Z","title":"Generative adversarial nets.Advances in neural information processing systems, 27","venue":null,"work_id":"4ebc7f6d-d99e-4078-97ec-97143b4a424e","year":2014},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:9b7eaff51367b6766f1ae3f51557f008bea6c4f8b7f9fe6224d26e3e0f8b78d5","observation_id":"c709634f-f797-4c18-a8f3-94dc18314fae","resolution":{"observed_at":"2026-05-26T06:46:53.774345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-07-09T06:36:03.249957Z","title":"A style-based generator architecture for generative adversarial networks","venue":null,"work_id":"47676735-d1ff-4462-aa72-d80a5748d6c8","year":2019},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:3ac76a4b159350acc8a48bfbad77745ac25d55bff4f709c7052f1ac83d7ad279","observation_id":"665ce830-249a-474f-8fdc-fd91c42215c9","resolution":{"observed_at":"2026-05-26T06:46:53.812414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Analyzing and improving the image quality of stylegan","venue":null,"work_id":"31caa577-0ce6-48a3-8cd4-56dda681f9f2","year":2020},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:8e43e81b3835086ea89c0cd544cb82a598beea76da799bb240cb9655edcf7b57","observation_id":"cf51f5ae-ecb1-4706-a76c-b559e17b469b","resolution":{"observed_at":"2026-05-26T06:46:53.825657Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.13456","last_updated":"2021-02-10T18:17:04Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-11-26T19:39:10Z","title":"Score-Based Generative Modeling through Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":"2011.13456","doi":"10.1088/1748-9326/aae98d","metadata_source":"pith","pith_arxiv_id":"2011.13456","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Score-Based Generative Modeling through Stochastic Differential Equations","venue":"cs.LG","work_id":"d9110e53-a5d4-4794-a4c5-a575e91c31ad","year":2020},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"cited_paper":"/paper/2011.13456","citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:a3e78b0f25559f4f8c7f4a6ec9a1fd2c654012ebda6732ce2bd4b69b33dc205d","observation_id":"feab9fcb-b06a-4798-9a9b-71697365be0c","resolution":{"observed_at":"2026-05-11T17:16:07.509130Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-06-01T22:58:00.812405+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-01T22:58:00.812405+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494","venue":null,"work_id":"b63058d8-1a18-4ebb-bcfa-65043ebaa4c3","year":2022},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:0b0905b51894d86339540df4fe42c3442f13752bf3d5845f67eb01ce51f3fb81","observation_id":"4ca0ab87-7283-4f18-a27d-344999ee7f53","resolution":{"observed_at":"2026-05-26T06:46:53.724630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01952","last_updated":"2023-07-04T23:04:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-07-04T23:04:57Z","title":"SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":"2307.01952","doi":"10.48500/arxiv.2307.01952","metadata_source":"pith","pith_arxiv_id":"2307.01952","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis","venue":"cs.CV","work_id":"8034c587-fba6-4941-87ba-c98f2ac962cb","year":2023},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"cited_paper":"/paper/2307.01952","citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:ad4d5d896b7c3c22d81573a63e106e89de999f7cc4197a4793153ebbb4178f39","observation_id":"8b216937-c8f3-4607-8814-2d8f500265b3","resolution":{"observed_at":"2026-05-11T17:16:07.564975Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.02747","last_updated":"2023-02-08T15:46:05Z","snapshot_observed_at":"2026-08-02T18:24:58.914589Z","submitted_at":"2022-10-06T08:32:20Z","title":"Flow Matching for Generative Modeling","version":2},"cited_work":{"arxiv_id":"2210.02747","doi":"10.1038/s41467-024-47656-z","metadata_source":"pith","pith_arxiv_id":"2210.02747","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Flow Matching for Generative Modeling","venue":"cs.LG","work_id":"6edb71c4-5d64-40af-a394-9757ea051a36","year":2022},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"cited_paper":"/paper/2210.02747","citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:28ee66da9287b486c4d454c51caa501d3b284b4d76b6def3d30fde7364911978","observation_id":"55bf4aca-ad2c-4f2b-9cee-6d6480ea0c81","resolution":{"observed_at":"2026-05-11T17:16:07.533360Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-06-01T22:57:59.860918+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-01T22:57:59.860918+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.03003","last_updated":"2022-09-07T08:59:55Z","snapshot_observed_at":"2026-07-06T13:49:40.974495Z","submitted_at":"2022-09-07T08:59:55Z","title":"Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow","version":1},"cited_work":{"arxiv_id":"2209.03003","doi":"10.48550/arxiv.2209.03003","metadata_source":"pith","pith_arxiv_id":"2209.03003","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow","venue":"cs.LG","work_id":"a1989e1b-d66d-4533-be3a-fb9c5fd62290","year":2022},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"cited_paper":"/paper/2209.03003","citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:d0c08242c08f92b74a379d9cabdcdac2b4902dbcfb47d1330257efca2215acc4","observation_id":"7342f6a8-73fd-4e6c-9233-89b808752757","resolution":{"observed_at":"2026-05-11T17:16:07.497350Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-07-11T22:49:29.244251+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T22:49:29.244251+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Efficient geometry- aware 3d generative adversarial networks","venue":null,"work_id":"b5003249-d604-4358-bba2-dc07b26ce9fe","year":2022},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:a8e3d3439dab7d06afb2f2c6b685a0360dbfd3f5775f54bba5bdcf45da3b5d15","observation_id":"a84e26de-e568-4316-9adb-c28c25499a25","resolution":{"observed_at":"2026-05-26T06:46:53.583702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Gram: Generative radiance manifolds for 3d-aware image generation","venue":null,"work_id":"18ceb2f1-a455-4b33-acbf-8ea83f128b5d","year":2022},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:90347c9396f4d52481fd7733ad4424fee7c7c66e75b4bb5e6b4c4a7a15a2e383","observation_id":"8689c763-2d11-4949-85b1-7fe92150160a","resolution":{"observed_at":"2026-05-26T06:46:53.730822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Get3d: A generative model of high quality 3d textured shapes learned from images.Advances in neural information processing systems, 35:31841–31854","venue":null,"work_id":"66528e36-bccf-4780-9c76-2a6eb0f8f8af","year":2022},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:63ad6fddbb2d63e287a1b4539c465f3ac20a344f1cf3183d6bac72845a9b647e","observation_id":"1bd70ed9-2855-4280-ae23-9a26f71e262a","resolution":{"observed_at":"2026-05-26T06:46:53.749610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Sdf-stylegan: implicit sdf-based stylegan for 3d shape generation","venue":null,"work_id":"950e2240-38a6-45c6-8c5a-a39d349f5180","year":2022},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:0461f1c45eb2f51e79290b8a382cc2d90f2c504c784afe3e39e3e2ac7ffbd211","observation_id":"ad88d819-72a0-45a4-a32e-a4cbe69728fd","resolution":{"observed_at":"2026-05-26T06:46:53.597354Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Lucid- dreamer: Towards high-fidelity text-to-3d generation via interval score matching","venue":null,"work_id":"11fb0a90-504a-4152-9318-597d84c80b81","year":2024},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:af7d34009aa677a2cc7892f0eeb4a8ba7cbd9063bf3111b9fe90e09c13b66773","observation_id":"8d34ecbe-cb5a-4024-88c2-8f3566fd2037","resolution":{"observed_at":"2026-05-26T06:46:53.711977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16653","last_updated":"2024-03-29T08:39:23Z","snapshot_observed_at":"2026-07-06T16:25:05.493379Z","submitted_at":"2023-09-28T17:55:05Z","title":"DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation","version":2},"cited_work":{"arxiv_id":"2309.16653","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.16653","snapshot_observed_at":"2026-07-08T01:44:26.267895Z","title":"DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation","venue":"cs.CV","work_id":"790b039f-2f31-4657-93ac-f802a85cd72a","year":2023},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"cited_paper":"/paper/2309.16653","citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:b5a7cf19f36cf4a3cf8fee5acbc4221b376dcb30e4c8ab34846c5a184b61d3f7","observation_id":"bcc4bdcc-7384-460e-b6e2-961d1eb1ecf9","resolution":{"observed_at":"2026-05-16T10:18:06.729150Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Magic3d: High-resolution text-to-3d content creation","venue":null,"work_id":"ce77c929-ecc8-4cf9-8f83-8fd750b9b0bd","year":2023},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:38d808fafafbc21124182a00e7865feef0eb0e199c749d9e80135047472ee778","observation_id":"f0388f59-4c2b-482a-a6fd-f8000d7cd4e3","resolution":{"observed_at":"2026-05-26T06:46:53.588339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Make-it-3d: High-fidelity 3d creation from a single image with diffusion prior","venue":null,"work_id":"d772ab42-a371-40f4-b2ce-c38afebe432f","year":2023},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:3b2c350b681135f1b283f0262e1cd881613270fca334ff6072d7a76fea368863","observation_id":"4885037f-48ea-4e67-a75d-2825d8a821fc","resolution":{"observed_at":"2026-05-26T06:46:53.704950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-07-11T01:07:50.733963Z","title":"Pro- lificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation","venue":null,"work_id":"80dcd0ed-cb1e-4277-a9f2-ee4af24c3b8c","year":2023},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:d9629e39bf520d64033ecc64e0c7617b5541347d7305bbc97fd8a634f7220545","observation_id":"7e1a0c3e-e522-4edc-9c74-a48bd07b068c","resolution":{"observed_at":"2026-05-26T06:46:53.718738Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.06214","last_updated":"2023-11-23T08:55:49Z","snapshot_observed_at":"2026-08-11T20:39:16.486320Z","submitted_at":"2023-11-10T18:03:44Z","title":"Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model","version":2},"cited_work":{"arxiv_id":"2311.06214","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.06214","snapshot_observed_at":"2026-07-04T16:19:56.523174Z","title":"Instant3d: Fast text-to-3d with sparse-view generation and large reconstruction model","venue":null,"work_id":"0c23e789-12f2-4cd9-900d-b96ddd3b811f","year":2023},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"cited_paper":"/paper/2311.06214","citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:95861fd2425707c8fea380109a94ce01272f4fef6364bce3b4dbd9d6304c9a8c","observation_id":"4aaae185-4a96-4a0e-a9f4-6030857f231e","resolution":{"observed_at":"2026-05-11T17:16:07.504113Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"One-2-3-45++: Fast single image to 3d objects with consistent multi-view generation and 3d diffusion","venue":null,"work_id":"a998a0eb-8bd7-462e-bfce-bff7910b6ab4","year":2024},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:c8f6b2e3de0ce05b714b299dda066f90819209ec208de90dd7e105e48d3a5f5f","observation_id":"991c110d-aa72-4c8e-a317-88ca15d1d470","resolution":{"observed_at":"2026-05-26T06:46:53.742568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Wonder3d: Single image to 3d using cross-domain diffusion","venue":null,"work_id":"7f8fe9df-0849-4a22-bf28-11d20a762689","year":2024},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:dafd910d3c928c01ad0ff275e6552d2166fbe875fdd4e4ddbfa4525d6b715426","observation_id":"ca22d1aa-abe7-4aa9-9a11-e7e641f61492","resolution":{"observed_at":"2026-05-26T06:46:53.763387Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.16512","last_updated":"2024-04-18T04:12:32Z","snapshot_observed_at":"2026-07-06T16:12:38.269310Z","submitted_at":"2023-08-31T07:49:06Z","title":"MVDream: Multi-view Diffusion for 3D Generation","version":4},"cited_work":{"arxiv_id":"2308.16512","doi":"10.48550/arxiv.2308.16512","metadata_source":"pith","pith_arxiv_id":"2308.16512","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MVDream: Multi-view Diffusion for 3D Generation","venue":"cs.CV","work_id":"269d1cf4-9ad9-4b6b-8f5f-da1567956dd6","year":2023},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"cited_paper":"/paper/2308.16512","citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:8dbcaa93ede3916fc836b77f4989710f937484aa1dcd09e6c0bd87bb411cc24b","observation_id":"eca24e43-f4e3-4af8-8490-6207d17808bd","resolution":{"observed_at":"2026-05-15T08:36:20.266102Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.04400","last_updated":"2024-03-09T10:47:51Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-11-08T00:03:52Z","title":"LRM: Large Reconstruction Model for Single Image to 3D","version":2},"cited_work":{"arxiv_id":"2311.04400","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.04400","snapshot_observed_at":"2026-07-09T18:46:26.549595Z","title":"LRM: Large Reconstruction Model for Single Image to 3D","venue":"cs.CV","work_id":"0662dc2c-cc1c-4358-99bd-2a5f34795738","year":2023},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"cited_paper":"/paper/2311.04400","citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:32e1188afa94781035a57aa0d04642a0bbe9f75be9a4ef872ff2828cc2f2e0a3","observation_id":"b363ba5e-ffa5-47fe-b3f3-bb39b0f05b41","resolution":{"observed_at":"2026-05-15T10:11:00.998012Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Autodecoding latent 3d diffusion models.Advances in Neural Information Processing Systems, 36:67021–67047","venue":null,"work_id":"b5acc932-2e7d-4aa9-b791-071523517436","year":2023},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:d8fdd4ef8715e61e3759ffb164acc1554ea0c69fa12a1b0b5fda0db69165bce1","observation_id":"214b1505-1db5-4d06-a9a4-de1b2f166704","resolution":{"observed_at":"2026-05-26T06:46:53.592800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"3dtopia-xl: Scaling high-quality 3d asset generation via primitive diffusion","venue":null,"work_id":"940942b8-4253-4a69-a87a-80d78116c452","year":2025},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:48fcabde8c9bbe36f0c0c4296ea080b783c3c5b595df5d39deaaf7e5e9f89865","observation_id":"7715c2ad-f5a2-4cee-875d-ae1673be69ae","resolution":{"observed_at":"2026-05-26T06:46:53.687760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Ln3diff++: Scalable latent neural fields diffusion for speedy 3d generation.IEEE Transactions on Pattern Analysis and Machine Intelligence","venue":null,"work_id":"d8f31bb8-eb9b-43a7-b69f-8d88219250a6","year":2025},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:c626990851c7f5bce9bac171416be5084d4f210e48aa334268960ef3ffad6c05","observation_id":"d3f0f5c5-5144-4e34-a80c-043393ce28a9","resolution":{"observed_at":"2026-05-26T06:46:53.616676Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.06721","last_updated":"2023-08-13T08:34:51Z","snapshot_observed_at":"2026-07-06T16:05:39.158819Z","submitted_at":"2023-08-13T08:34:51Z","title":"IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models","version":1},"cited_work":{"arxiv_id":"2308.06721","doi":"10.48550/arxiv.2308.06721","metadata_source":"pith","pith_arxiv_id":"2308.06721","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models","venue":"cs.CV","work_id":"98e51b10-54bd-4251-8a2d-f79bd6215c19","year":2023},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"cited_paper":"/paper/2308.06721","citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:c30986ec536fbf9b44295464c2cfa079964b617c0e918f306576028f78f3dd47","observation_id":"580f219c-3650-4c74-86ec-037044b5ef8e","resolution":{"observed_at":"2026-05-11T17:16:07.571138Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-07-11T02:20:08.139662+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T02:20:08.139662+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Deadiff: An efficient stylization diffusion model with disentangled representations","venue":null,"work_id":"4877add2-56ce-48cb-b266-f9f70478888d","year":2024},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:5c101430bf9ae8c3dc042ce94784fe0804b6b26303df95d262e432191e59063f","observation_id":"304281d3-657f-43c0-bd60-be5344653c28","resolution":{"observed_at":"2026-05-26T06:46:53.602368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Styletokenizer: Defining image style by a single instance for controlling diffusion models","venue":null,"work_id":"89da68fa-275c-425a-b8f3-e4fa3d62a386","year":2024},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:2254cf563550aa55c1fd6283c7c6df9fbeb7d6ec7678b8fb4f34c3cb26124863","observation_id":"8a53d635-567b-4cd7-8fe1-7a350ac3b9ee","resolution":{"observed_at":"2026-05-26T06:46:53.683016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Stylestudio: Text-driven style transfer with selective control of style elements","venue":null,"work_id":"d321f3bb-5004-4c31-8ecf-c2387386d330","year":2025},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:6ef50229074d6336a15a5d8a3a87decb617ba1a94a47d771ad4de6088b19b9e4","observation_id":"a43e54da-33f5-4c38-9f4d-b1ac2991d559","resolution":{"observed_at":"2026-05-26T06:46:53.694060Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Customizing text-to-image models with a single image pair","venue":null,"work_id":"6dded92a-996f-426b-a1de-5b4090e7fd9b","year":2024},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:18d68a8669f1e4ff7d97dc8a49215dd30e4261dfdf3e32f1c5f53bc6a6d632ac","observation_id":"3c29a946-1800-4a52-8218-116beb899932","resolution":{"observed_at":"2026-05-26T06:46:53.737230Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Sigstyle: Signature style transfer via personalized text-to-image models","venue":null,"work_id":"283368ac-c9ab-48ab-b0f4-9b8a077bf85f","year":2025},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:fcad8e73efb71c712117ebc0a63c53f35ac8256ab400418c01660c3efee73b2f","observation_id":"b41a9eab-58d3-414c-87be-eea294ebd55f","resolution":{"observed_at":"2026-05-26T06:46:53.611474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-07-07T16:24:01.607619Z","title":"Omnistyle: Filtering high quality style transfer data at scale","venue":null,"work_id":"f13c767a-0158-4642-bec9-203fca8c2902","year":2025},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:5df4cec4020041c3f5d49cadef6670a958c305495ba56badeed3048186d7cdf9","observation_id":"805eb004-9913-4538-ac95-41df6d58bf08","resolution":{"observed_at":"2026-05-26T06:46:53.672739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2208.01618","last_updated":"2022-08-02T17:50:36Z","snapshot_observed_at":"2026-08-02T23:40:32.342515Z","submitted_at":"2022-08-02T17:50:36Z","title":"An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion","version":1},"cited_work":{"arxiv_id":"2208.01618","doi":"10.48550/arxiv.2208.01618","metadata_source":"pith","pith_arxiv_id":"2208.01618","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion","venue":"cs.CV","work_id":"ca618c21-3ba6-448e-bd86-bcecff3cdeb5","year":2022},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"cited_paper":"/paper/2208.01618","citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:26882a4db8066a105391870ef1264802cfce0d6f2eef616e1953445998a3291f","observation_id":"4dcc0474-6f88-4ebf-a6d4-9fc45c7cf62a","resolution":{"observed_at":"2026-05-11T18:08:55.677650Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Inversion-based style transfer with diffusion models","venue":null,"work_id":"8a7d0f1a-85e6-47f6-8544-63fb0d0a2e0c","year":2023},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:ca2b9ae605239975bf0acb308ab440e04313e1bbb2ae8f400b96ade84cdf11aa","observation_id":"a7563a2f-3bfe-4c27-ad5f-1da85d428429","resolution":{"observed_at":"2026-05-26T06:46:53.606959Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Ziplora: Any subject in any style by effectively merging loras","venue":null,"work_id":"4009a7d6-2ce9-4d2e-abdd-d18612355906","year":2024},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:c86588774ef827683f0843d7583290281064c290483bb841c4405c299a9583bf","observation_id":"0c9e02a1-e240-487d-bd64-06b1e2e1d7b7","resolution":{"observed_at":"2026-05-26T06:46:53.631582Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Implicit style-content separation using b-lora","venue":null,"work_id":"62ec99eb-21d8-4522-9f54-83d793c0f076","year":2024},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:83354290f1ab9722d03c2651a4c68fa77e2669eedede77e57133c12fc25686eb","observation_id":"683ac824-4788-4db3-9943-c9b818bdc359","resolution":{"observed_at":"2026-05-26T06:46:53.667092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Qr-lora: Efficient and disentangled fine-tuning via qr decomposition for customized generation","venue":null,"work_id":"1752bc95-1dab-4703-9571-beb197726d9a","year":2025},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:a8cbe9b75cff5e883fc571cb9108443ab0766cbe4dae91f820eb2503dab4108d","observation_id":"1c5ce354-2d24-4c5d-9d9e-ffe0da2591af","resolution":{"observed_at":"2026-05-26T06:46:53.678433Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-07-11T02:27:52.792876Z","title":"Nerf: Representing scenes as neural radiance fields for view synthesis","venue":null,"work_id":"30ad9098-264a-47fd-8a7d-d5f30ca216b2","year":2021},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:30d52eea37ad90a0604b7c9d58650ee3629ab88bfd1416cf4e5104736e5df7c2","observation_id":"856377dd-d4b0-43d7-a648-261c4fbb38c8","resolution":{"observed_at":"2026-05-26T06:46:53.699989Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Stylerf: Zero-shot 3d style transfer of neural radiance fields","venue":null,"work_id":"95ce298d-bcbe-41ca-8e28-6f995b4dfc16","year":2023},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:5876bd85e7df27bbbaf018b42ebd6482bfc615378d275e77ec887dd43c817fb6","observation_id":"4cc1f19e-23ea-4159-bbd6-602cd77173d3","resolution":{"observed_at":"2026-05-26T06:46:53.757524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Unified implicit neural stylization","venue":null,"work_id":"33b222b1-b035-424a-bd46-80ea48f309f6","year":2022},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:a218ee96d8681f0c929801e76dcd787355a4f5df60661f6bf8270a1ec2ecd7b7","observation_id":"4ac2c3e1-28d1-4aab-827b-3ce593a0b357","resolution":{"observed_at":"2026-05-26T06:46:53.659582Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Stylegaussian: Instant 3d style transfer with gaussian splatting","venue":null,"work_id":"7bafad5e-bc00-4e46-8701-3da4d1eca816","year":2024},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:00666c005b4ca1f796568f0f8792cc226ce9e98eaf796cec40d750453f40acf8","observation_id":"699b4388-b502-4aaa-9430-5d7dedadb21c","resolution":{"observed_at":"2026-05-26T06:46:53.645253Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.09473","last_updated":"2024-07-12T17:55:08Z","snapshot_observed_at":"2026-08-12T23:23:12.888999Z","submitted_at":"2024-07-12T17:55:08Z","title":"StyleSplat: 3D Object Style Transfer with Gaussian Splatting","version":1},"cited_work":{"arxiv_id":"2407.09473","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.09473","snapshot_observed_at":"2026-06-29T08:03:14.435748Z","title":"Stylesplat: 3d object style transfer with gaussian splatting","venue":null,"work_id":"ccc21b86-a7ab-40ab-98d4-6c46518824b2","year":2024},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"cited_paper":"/paper/2407.09473","citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:921328cfc9be5ec606ab510f5bdeeb430a43ecd15026fea4404dc42d8e7b5e39","observation_id":"70293aad-45ca-4b3e-b952-420f18b4b2ce","resolution":{"observed_at":"2026-05-11T17:16:07.601292Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Styletex: Style image-guided texture generation for 3d models.ACM Transactions on Graphics (TOG), 43(6):1–14","venue":null,"work_id":"34739f58-0b79-43ad-a24d-1f2f515db186","year":2024},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:3f05d693f9d16307fc677ae29ac502e15ca67fef7fec4f1b84dd63d9055c0e66","observation_id":"bbca859d-a0fe-4a27-bd32-282f845b8fe5","resolution":{"observed_at":"2026-05-26T06:46:53.626512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Texture: Text- guided texturing of 3d shapes","venue":null,"work_id":"be8ac459-f469-4e05-9ca8-b7ff5fdd548c","year":2023},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:052714eee4944b4e919fb96b521051009486dce40cbbd52df1f82e11365bdc1b","observation_id":"d615b944-3ba3-4d4f-9c4f-6a3bf6f19986","resolution":{"observed_at":"2026-05-26T06:46:53.769184Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2510.15736","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Fix false transparency by noise guided splatting","venue":null,"work_id":"96f1da9f-4a5e-4610-a947-334c1f3561e9","year":2025},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:8fff484972c9601394cc8e98ffb9510a4a303a73dbe99c0a2c1f7d5ee4321de7","observation_id":"d754a44d-459f-4709-b752-a38379b1ecb7","resolution":{"observed_at":"2026-05-11T17:16:07.526492Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.08174","last_updated":"2025-04-03T14:01:02Z","snapshot_observed_at":"2026-08-12T16:38:23.426564Z","submitted_at":"2025-01-14T14:56:31Z","title":"Object-Centric 2D Gaussian Splatting: Background Removal and Occlusion-Aware Pruning for Compact Object Models","version":2},"cited_work":{"arxiv_id":"2501.08174","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.08174","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Object-centric 2d gaussian splatting: Background removal and occlusion-aware pruning for compact object models","venue":null,"work_id":"a512e37b-2d03-4b31-a546-fcc139e6ad6c","year":2025},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"cited_paper":"/paper/2501.08174","citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:b335710cf1a487480194e211b178449417db5ae60bce4e62487ebf16527f6759","observation_id":"fd0c8caf-e1fb-4603-a77a-39a92cf6ca12","resolution":{"observed_at":"2026-05-11T17:16:07.520501Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Plenoxels: Radiance fields without neural networks","venue":null,"work_id":"31d38ed8-2831-43d2-9b63-ceb9550be5aa","year":2022},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:4057bad4f885b0896f8ad51e57943d5774c9902e581dac5cc0bc8e496449547c","observation_id":"0cea4788-230c-499b-8c6c-b4f08294dff4","resolution":{"observed_at":"2026-05-26T06:46:53.649927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00788","last_updated":"2024-06-30T18:05:33Z","snapshot_observed_at":"2026-08-12T23:31:48.913661Z","submitted_at":"2024-06-30T18:05:33Z","title":"InstantStyle-Plus: Style Transfer with Content-Preserving in Text-to-Image Generation","version":1},"cited_work":{"arxiv_id":"2407.00788","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.00788","snapshot_observed_at":"2026-07-04T12:49:52.799542Z","title":"Instantstyle-plus: Style transfer with content-preserving in text-to-image generation","venue":null,"work_id":"9b4a91bd-ab6b-4b68-9df5-0b4a3ea70be8","year":2024},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"cited_paper":"/paper/2407.00788","citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:880257dd2edd741f4d104bfafa1ea6c1c778a16fbb20a40e9dfd31b4e73a5d9b","observation_id":"97ff181c-3cd4-4f42-92e8-b6c8c6f4c966","resolution":{"observed_at":"2026-05-11T17:16:07.556942Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-07-07T13:13:50.609285Z","title":"Hpsv3: Towards wide-spectrum hu- man preference score","venue":null,"work_id":"7f1f4d17-3402-496d-a645-5ef5bc5cd4fa","year":2025},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:705a0ae1c82383bdc0925ec9de1b285f69261af8ab1fb8904ede605556fb9bd9","observation_id":"d7a919bf-05a4-468a-8ec8-4baddfbd8fe7","resolution":{"observed_at":"2026-05-26T06:46:53.654029Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-06-05T21:23:00.469572Z","title":"Chatgpt-5.5.https://chatgpt.com/","venue":null,"work_id":"83c746c8-df17-4e70-9a7f-c7c60a4ec000","year":2026},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:e99af91b5e60446e5eb10ef23135bcbcb32e3ed152a3aea95a1aefdfbc2b008e","observation_id":"7ba0857d-1dbf-40ca-9e5b-9b825249f33f","resolution":{"observed_at":"2026-05-26T06:46:53.640924Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2511.21631","last_updated":"2025-11-27T12:16:54Z","snapshot_observed_at":"2026-08-11T14:42:37.584016Z","submitted_at":"2025-11-26T17:59:08Z","title":"Qwen3-VL Technical Report","version":2},"cited_work":{"arxiv_id":"2511.21631","doi":"10.1016/j.neunet.2025.107777","metadata_source":"pith","pith_arxiv_id":"2511.21631","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Qwen3-VL Technical Report","venue":"cs.CV","work_id":"1fe243aa-e3c0-4da6-b391-4cbcfc88d5c0","year":2025},"citing_paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-08T17:46:01.513433Z"},"links":{"cited_paper":"/paper/2511.21631","citing_paper":"/paper/2605.04412"},"observation_digest":"sha256:01e597f7d0e42b4bf53bdff8b56ceff8ab47a1c778364a5a9288fcd8bab0d25c","observation_id":"ea7e78de-a046-4a5d-8df1-0556ee298382","resolution":{"observed_at":"2026-05-11T17:16:07.605357Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.04412","last_updated":"2026-05-07T02:18:21Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-03T15:01:07.950726Z","submitted_at":"2026-05-06T02:08:54Z","title":"Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion"},"reference_resolution":{"displayed":70,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":21,"verified_fuzzy":49},"total_outbound_references":70},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 0 inbound Pith citation observations for arXiv:2605.04412."}