{"as_of":"2026-08-10T05:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7ff94d844a309a20de60e7c9630838e2360a738d38abab6a944112b442dffc90","coverage":[{"denominator":83,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":83,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:35:41.678679Z","state":"measured"},{"denominator":83,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":83,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2507.05256/citation-record","integrity":"/paper/2507.05256/integrity","json":"/paper/2507.05256/citation-record.json","paper":"/paper/2507.05256"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.04968","last_updated":"2023-04-26T13:20:56Z","snapshot_observed_at":"2026-08-05T15:05:14.408599Z","submitted_at":"2023-04-11T04:29:57Z","title":"Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.04968","snapshot_observed_at":"2026-08-06T19:35:41.421511Z","title":"Re-imagine the negative prompt algorithm: Transform 2d diffusion into 3d, alleviate janus problem and beyond","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.421511Z"},"links":{"cited_paper":"/paper/2304.04968","citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:30f51f6d35cb45624350e8549387bfeae9d8140c56abe1425281425b924564c6","observation_id":"dc88c204-7124-465b-bf5d-4af080d3e9c8","resolution":{"observed_at":"2026-08-06T19:35:41.421511Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.425678Z","title":"Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.425678Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:ecccd81650f34823a86212914400804006d8e42efee2d948be708403b9d202f9","observation_id":"1fa9da71-88b2-4572-93af-e98914d9d32c","resolution":{"observed_at":"2026-08-06T19:35:41.425678Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.428862Z","title":"Fan- tasia3d: Disentangling geometry and appearance for high- quality text-to-3d content creation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.428862Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:953d38448a6d8ac4d8281f841d037b055d17e088e1e2fef7aeb26bf5594a8187","observation_id":"d9ea9365-e354-4cc4-86e8-4effc0c2163f","resolution":{"observed_at":"2026-08-06T19:35:41.428862Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.432303Z","title":"Cunerf: Cube-based neural radiance field for zero-shot medical image arbitrary-scale super resolution","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.432303Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:a66890309ad4439cb80f3fedf5a99eb380fcf574f0752d981278e8e0e4978cbf","observation_id":"3ad7cfb1-567d-4329-91c7-4a7584143264","resolution":{"observed_at":"2026-08-06T19:35:41.432303Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.386720Z","title":"Text-to-3d using gaussian splatting","venue":null,"work_id":"69816912-1a72-4268-b958-92d942d20f89","year":2024},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.436396Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:6bb4d97a9b582de540a3941ae18f5976d9e390b82c4d6f659813d8c154238e07","observation_id":"1754a9c4-f16a-48aa-9d9f-d5dff531372f","resolution":{"observed_at":"2026-08-06T19:35:42.390613Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.378778Z","title":"Guardsplat: Efficient and robust watermarking for 3d gaussian splatting","venue":null,"work_id":"7b710a7e-7692-4670-b919-2a3d594fc2f7","year":2025},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.439931Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:9a072cfbc6fd54ce8c33f6b1b572b6e4d3ac4a61ba6f53e2b1fafc5cec0da827","observation_id":"7e26af31-98e1-4978-b5f5-ee5bd00d86db","resolution":{"observed_at":"2026-08-06T19:35:42.381803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.369329Z","title":"Get3d: A generative model of high quality 3d tex- tured shapes learned from images","venue":null,"work_id":"9e58a601-3ce1-4ef4-a9f0-9e7c83a300df","year":2022},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.443664Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:9b1fb970ae482256b405f0d19c9278f5a6837d8dc55c26dc3556d8bf5a6d6b33","observation_id":"29226acf-3585-4534-a4ff-a6ce389e4b16","resolution":{"observed_at":"2026-08-06T19:35:42.373053Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.05371","last_updated":"2023-03-27T18:04:20Z","snapshot_observed_at":"2026-07-06T15:00:54.661106Z","submitted_at":"2023-03-09T16:18:14Z","title":"3DGen: Triplane Latent Diffusion for Textured Mesh Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.05371","snapshot_observed_at":"2026-08-06T19:35:41.447578Z","title":"3dgen: Triplane latent diffusion for textured mesh generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.447578Z"},"links":{"cited_paper":"/paper/2303.05371","citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:8e48dd1373be7b4cdac66ec2d0f6d8cdc5b9ffec9948df0449f43c60eb9e7700","observation_id":"46e2e187-9bbe-4ee2-8992-a9cc0c0a7201","resolution":{"observed_at":"2026-08-06T19:35:41.447578Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.360549Z","title":"Classifier-free diffusion guidance","venue":null,"work_id":"b4f9af38-0605-4644-a286-4c1dd01b9d6d","year":2021},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.450939Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:5259b13ee5bc26b3673b3d2443783b245c47beedc0890da33e46cd0b47a385c7","observation_id":"2ed36891-eb5e-477f-af52-c15cb8af02d3","resolution":{"observed_at":"2026-08-06T19:35:42.363655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.350870Z","title":"Efficientdreamer: High-fidelity and robust 3d cre- ation via orthogonal-view diffusion priors","venue":null,"work_id":"f5ba714d-1039-418d-b2c7-b993a1443e75","year":2024},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.453987Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:5ce3525b4246cc447041746600789ebdd8e41cc2d22e6e3ac270fb2d5cce825a","observation_id":"7dad1c2a-e345-47b1-b1cb-05e9dd7665b3","resolution":{"observed_at":"2026-08-06T19:35:42.354286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.342500Z","title":"Dreamtime: An improved optimiza- tion strategy for diffusion-guided 3d generation","venue":null,"work_id":"03d479e6-dd2a-4cf9-b1c1-b0887403481c","year":2023},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.457024Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:b0476499beebca8b592a4ffa011243e6edd00ea82ad3b089aa6251f9cdef3f16","observation_id":"6605adf2-266d-486a-ab17-f15dc9489948","resolution":{"observed_at":"2026-08-06T19:35:42.345801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.333620Z","title":"Jointdreamer: Ensur- ing geometry consistency and text congruence in text-to-3d generation via joint score distillation","venue":null,"work_id":"4215bb7b-3039-41eb-b306-40c566d64acd","year":2025},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.461065Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:35339afb1d55a1c73125486627bef82263943302625dbc1bb1c1a14e25585bb0","observation_id":"32c56998-acf3-45af-9a8b-1e382021c5ab","resolution":{"observed_at":"2026-08-06T19:35:42.336884Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.02463","last_updated":"2023-05-03T23:59:13Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-05-03T23:59:13Z","title":"Shap-E: Generating Conditional 3D Implicit Functions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.02463","snapshot_observed_at":"2026-08-06T19:35:41.464050Z","title":"Shap-e: Generat- ing conditional 3d implicit functions","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.464050Z"},"links":{"cited_paper":"/paper/2305.02463","citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:798662daf1722010a20adc85198ab120cb0957c66aa90a4508b21d8f18210f05","observation_id":"96ba4959-0c50-41d3-9e41-fbe8aea33efb","resolution":{"observed_at":"2026-08-06T19:35:41.464050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.324499Z","title":"Ray tracing volume densities","venue":null,"work_id":"437cc1e5-6dfd-4f4f-bc5c-348c497d2ace","year":1984},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.467429Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:7b297b327219d78a3f601d1b7b37129d2bfc7c2d3f94a1e2035483b0326815f2","observation_id":"d9201679-bb61-4c46-9c59-fba1d64ee6bf","resolution":{"observed_at":"2026-08-06T19:35:42.327721Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.316049Z","title":"Elucidating the design space of diffusion-based generative models","venue":null,"work_id":"585e43e3-8ac1-4b5a-a22b-9eeeba43e34f","year":2022},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.470606Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:aac5e98627484c00741026f555f3dc64f811ce3e52b8a1170ea2f6fb7241317c","observation_id":"997dba9c-47d0-4482-8f81-a2dfb8aae3b2","resolution":{"observed_at":"2026-08-06T19:35:42.319097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.307474Z","title":"Noise-free score distillation","venue":null,"work_id":"d8c105db-09cc-4f42-96e7-d831a3d6269a","year":2024},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.473665Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:1f93ffcc8f41247b03226dc26210eed2fedd2b68aa65be4b83dd14ee1a7b77c2","observation_id":"6d02e677-ef05-49c2-9892-731e2d8d12e5","resolution":{"observed_at":"2026-08-06T19:35:42.310424Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.298941Z","title":"3d gaussian splatting for real-time radiance field rendering","venue":null,"work_id":"84d64987-cb4f-498f-b151-8ed311e1f664","year":2023},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.476545Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:9746129ab6b35f6a11a06aba5a37a903db27e3ceb55b1d4061d156fb4ca15322","observation_id":"e7237981-663c-4f32-a25f-e49a90f3bdb1","resolution":{"observed_at":"2026-08-06T19:35:42.302036Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.290272Z","title":"Consistency trajectory mod- els: Learning probability flow ode trajectory of diffusion","venue":null,"work_id":"ce3675ab-fed2-4065-a17c-6d1b13431f9c","year":2024},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.480093Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:bfa160bca05314f8fa29e410b50af111e3645aeca6b389e1d8e32d178b327455","observation_id":"3691b201-a5ca-4941-9b1b-c0e4e4644552","resolution":{"observed_at":"2026-08-06T19:35:42.293302Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-06T19:35:41.482964Z","title":"Adam: A method for stochastic optimization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.482964Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:1822c79d824d6bab2ba4cb21351b97726c21993c909b9603b239058c5fb759c4","observation_id":"87f2da90-4775-409d-80e5-4c1844796c51","resolution":{"observed_at":"2026-08-06T19:35:41.482964Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.282016Z","title":"Point-based neural rendering with per- view optimization","venue":null,"work_id":"be8ce01d-38ff-472e-a0f6-4533d8942459","year":2021},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.486308Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:4319db936b2dba1473d8a58032f7b1fdb1f5bda124f2c9ef104ee7d01c6c6ecc","observation_id":"27a9bed3-278a-4439-bd99-c6610563b7d6","resolution":{"observed_at":"2026-08-06T19:35:42.285143Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.272778Z","title":"Diffusion- sdf: Text-to-shape via voxelized diffusion","venue":null,"work_id":"6efcf83d-c593-4af3-aabb-9e97e3528e7b","year":2023},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.488884Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:01b1c0e54935679b4cf3943424e96061b79cfe4b59a446193fb981e3ded6f37b","observation_id":"65979f21-b931-4101-8b02-0f5ea1c79885","resolution":{"observed_at":"2026-08-06T19:35:42.276568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.263579Z","title":"Connecting consistency distillation to score distillation for text-to-3d generation","venue":null,"work_id":"856181c4-e00f-4e62-8efc-3af161ce2011","year":2025},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.491754Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:4edcf3e8fc6fbc01b0ea72a73c51883b494028f36c703a22f063fac53c0cf762","observation_id":"4db65919-8e73-460a-9761-65cc3b77f4af","resolution":{"observed_at":"2026-08-06T19:35:42.266933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.254477Z","title":"Luciddreamer: Towards high- fidelity text-to-3d generation via interval score matching","venue":null,"work_id":"7e328026-7d71-411c-b7b1-3cf3828952a4","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.494640Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:310f7820f413d735b1c2aa43edf1fc6ea3fb9cb718bd343f38143ebfd2eac412","observation_id":"dac30c89-5fde-4db9-84ae-139f4cb22643","resolution":{"observed_at":"2026-08-06T19:35:42.257627Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.245483Z","title":"Magic3d: High-resolution text-to-3d content creation","venue":null,"work_id":"bac759c7-61d8-4f7e-a148-ab6e844fea1b","year":2023},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.497655Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:573f9a427099d8b0c1e3269f60e3e2aee8b7f81cfc29ab708bb4dd9b80956678","observation_id":"1f3bcaf9-f7d0-417f-8142-28c8b078afd1","resolution":{"observed_at":"2026-08-06T19:35:42.248589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.236702Z","title":"Unidream: Unifying diffusion priors for re- lightable text-to-3d generation","venue":null,"work_id":"008f17b6-f5f7-4721-abea-ee662041ae84","year":2025},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.500763Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:03483d9c62f1634d03bef78f00000264b0a967f341eed3402b6e7432152b7c74","observation_id":"709b4bd7-87f6-445e-8a8c-42e94cef317e","resolution":{"observed_at":"2026-08-06T19:35:42.239906Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.228081Z","title":"Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps","venue":null,"work_id":"91863dc4-a8c1-4c14-9557-4a7bde68f1a9","year":2022},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.503877Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:9cdec0aaa6bfec6b97a23ea63f0717e56a12e2bc1c5e210f12294e8b3d49e548","observation_id":"4bdce790-fa60-4276-8214-0df183ee7ad1","resolution":{"observed_at":"2026-08-06T19:35:42.231344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.04378","last_updated":"2023-10-06T17:11:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-06T17:11:58Z","title":"Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.04378","snapshot_observed_at":"2026-08-06T19:35:41.506657Z","title":"Latent consistency models: Synthesizing high- resolution images with few-step inference","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.506657Z"},"links":{"cited_paper":"/paper/2310.04378","citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:8a47aa56a7b2cfe00551b3477f510a974d7ef491be22e4f34b8243b690189fc1","observation_id":"5973b15f-d13b-4b24-b6f2-f345a8168427","resolution":{"observed_at":"2026-08-06T19:35:41.506657Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.218200Z","title":"Gaussian splatting slam","venue":null,"work_id":"89625e43-8d7c-462f-b273-e62eea416cab","year":2024},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.509944Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:4cb6be9e7eb84ec2c15af8c1d133c8e6c03242ac7a15340566f444440b8e1507","observation_id":"e22895df-6922-4f9f-b8d2-7e4da470abf7","resolution":{"observed_at":"2026-08-06T19:35:42.222121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.512968Z","title":"Nerf: Representing scenes as neural radiance fields for view syn- thesis","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.512968Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:7e76fbbb336b48f62e8351f7173f7ad1483b0aec9108111cae3ed1ca67d69799","observation_id":"57f22c34-8605-41f3-9cd9-f9765bd86d9c","resolution":{"observed_at":"2026-08-06T19:35:41.512968Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.08751","last_updated":"2022-12-16T23:22:59Z","snapshot_observed_at":"2026-07-06T14:31:54.932806Z","submitted_at":"2022-12-16T23:22:59Z","title":"Point-E: A System for Generating 3D Point Clouds from Complex Prompts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.08751","snapshot_observed_at":"2026-08-06T19:35:41.516069Z","title":"Point-e: A system for generat- ing 3d point clouds from complex prompts","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.516069Z"},"links":{"cited_paper":"/paper/2212.08751","citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:5d1854127cc3a54de480bc3fb3fa73c0a7cd97b37726ed401481f8bab85102ad","observation_id":"fa3855b1-c432-4d7d-b871-c1276261d1af","resolution":{"observed_at":"2026-08-06T19:35:41.516069Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.204855Z","title":"Dreamfusion: Text-to-3d using 2d diffusion","venue":null,"work_id":"1840ad38-0ae8-494c-9530-6584cb251778","year":2022},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.519214Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:2ee33ba9f12a317f2dad0ff0e844af7a277c8c1140d65efb881690a61486d0e1","observation_id":"f62b9dc2-40f9-4bad-829b-000ca4f8b23a","resolution":{"observed_at":"2026-08-06T19:35:42.208071Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.196820Z","title":"Compositing digital im- ages","venue":null,"work_id":"c68f5021-533c-4842-9068-cf8a87811908","year":1984},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.522126Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:ad28a90809d263c656118c08fc379fd04716ceab49b0854bbdfa04db5e717aba","observation_id":"0b8020cc-0e3b-4c9b-b983-cf4deddeaf36","resolution":{"observed_at":"2026-08-06T19:35:42.199766Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.188524Z","title":"Hyper-sd: Trajectory segmented consistency model for efficient image synthesis","venue":null,"work_id":"d31e926b-5b3d-4c9c-b3f3-e109aef22ee7","year":2024},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.525693Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:adf39092686046baca639abf7c19ffd793b37cb2f41f723bdf425fe96eab0da5","observation_id":"ff7711fc-bd94-45a6-a6d8-45858536a821","resolution":{"observed_at":"2026-08-06T19:35:42.191786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.180232Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":"fd1693b7-e069-45f9-8c8e-f098c8028d46","year":2022},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.529283Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:82438434342949f3322e6d746d6458885de5add3cf52d2d6b41ded222b249f0c","observation_id":"6e825481-84c3-49d3-8a25-e207b5c74800","resolution":{"observed_at":"2026-08-06T19:35:42.183149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.171941Z","title":"Let 2d diffusion model know 3d- consistency for robust text-to-3d generation","venue":null,"work_id":"a0952850-449e-4a34-8e15-fa7114052c84","year":2024},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.532345Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:26c4df25ddcff29e112ea28d1ae07aea2caa20cea41721a7c9c466e73b748095","observation_id":"61181dac-5ed4-4b47-a6e5-03f27ab72a19","resolution":{"observed_at":"2026-08-06T19:35:42.175136Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.163495Z","title":"Splattingavatar: Realistic real-time human avatars with mesh-embedded gaussian splatting","venue":null,"work_id":"07336e4f-b8ff-4d6c-b27a-e9ab101c75e3","year":2024},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.535816Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:da6ebad923d0055ab425256dabfed6f6e1f45ad835855d2d957cc8bf6bb2fa03","observation_id":"9e172e64-f1a9-42c6-b044-3d218276865d","resolution":{"observed_at":"2026-08-06T19:35:42.166812Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.154466Z","title":"Mvdream: Multi-view diffusion for 3d gen- eration","venue":null,"work_id":"526574fc-06ae-415b-a115-df0d35174cec","year":2024},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.538831Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:9bf0090c105e00cc092515208699d48eb568aa2efddededcd1995ee2efaf94f2","observation_id":"7e721c54-f1d7-4d4b-b133-fbde899711a8","resolution":{"observed_at":"2026-08-06T19:35:42.157801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.146465Z","title":"Denois- ing diffusion implicit models","venue":null,"work_id":"2a6b615c-1082-4538-871f-b0f5d0d84653","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.542479Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:2a36d57f6ccc75c68b1b775ab11f974e88a0d1389cf0a801c49f24b4e4ca2b00","observation_id":"de94c2b5-fbb1-42e7-a340-ccaca72f946f","resolution":{"observed_at":"2026-08-06T19:35:42.149502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.137793Z","title":"Score-based generative modeling through stochastic differential equa- tions","venue":null,"work_id":"76ea8966-89fb-403e-b6ba-ffcd37704364","year":2021},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.545685Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:402a0210d444927aa3d5d5ae80a89261ace3bccb5239ecd06aaf45ef1985ec3c","observation_id":"da94b3d0-2ad6-4711-901f-21bdc22fd2e2","resolution":{"observed_at":"2026-08-06T19:35:42.141474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.129886Z","title":"Consistency models","venue":null,"work_id":"1a9df407-8428-4ae3-8685-39664c29ac83","year":2023},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.548793Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:959a478e3f05d41c808f4415b1a89f028519d36e9199091ca38f192964552395","observation_id":"1a770bbb-dfef-46b9-9638-fd2b3a51a6e2","resolution":{"observed_at":"2026-08-06T19:35:42.132855Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.120854Z","title":"Splatter image: Ultra-fast single-view 3d recon- struction","venue":null,"work_id":"2c747523-14e6-47bb-afc2-2ce9efaaf1d0","year":2024},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.551746Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:6441d849ca6dcf645ea157372f3a4d7e898a7ffa8d35f40463a0e05d2ca3c487","observation_id":"3f893596-e611-4449-9eea-53e373e03aef","resolution":{"observed_at":"2026-08-06T19:35:42.125037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.112092Z","title":"Dreamgaussian: Generative gaussian splatting for effi- cient 3d content creation","venue":null,"work_id":"a9e8f71a-54be-4525-a5bc-5eed48416901","year":2024},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.555121Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:dd7f0ab188153a8649b09da1e173163eea447ce0a1e2926f927223fbb17786d1","observation_id":"d5badd21-fa2f-4fa5-a6ef-981fb7ca8153","resolution":{"observed_at":"2026-08-06T19:35:42.115227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.104015Z","title":"Diverse text-to-3d synthesis with aug- mented text embedding","venue":null,"work_id":"d3913e40-bde7-4af8-8f7d-ac573d573fc8","year":2025},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.558629Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:7e8a09603612f9f039a3364f57d59c6ce4611a75a8adfbc519b7a30f8d3288da","observation_id":"a9831d1f-9a62-433f-a86e-b6b8d0a12ef9","resolution":{"observed_at":"2026-08-06T19:35:42.107004Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.095958Z","title":"Phased consistency model","venue":null,"work_id":"3e94ae62-50b9-4315-b55a-1161497209d1","year":2024},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.561828Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:be89ec8d0ad9f4c5e7eb4aa50197c09180ccee46260a1953dfefdd6168fff548","observation_id":"f385f835-d93c-4bb6-bd2a-12e116d48276","resolution":{"observed_at":"2026-08-06T19:35:42.098749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.086934Z","title":"Sparsenerf: Distilling depth ranking for few-shot novel view synthesis","venue":null,"work_id":"5872c850-dfad-4624-97fc-7685369820b8","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.564789Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:3b09f8739cdaf63a0ae8db101f2c3d2ff4a5e26779b0b4e9f6b491a9e4864a56","observation_id":"a96dc956-6607-4f6f-a5d1-783c174e45a8","resolution":{"observed_at":"2026-08-06T19:35:42.089962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.079156Z","title":"Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation","venue":null,"work_id":"b4ab1ec7-13fb-4fb0-99db-d72e2c858f12","year":2023},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.567738Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:36f9b13f6f79a224009ae290bfeacd88f614864c23c3a59953ce5e14efa7474e","observation_id":"2d2edc51-7a91-4c10-9386-11b2b420b5f2","resolution":{"observed_at":"2026-08-06T19:35:42.082210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.070606Z","title":"Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score dis- tillation","venue":null,"work_id":"730743bb-f0b8-4caa-a85c-fdd0b47a15b5","year":2023},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.570358Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:92266537d4d88ef20b4adcca4a53f8f5315a72d314d4dc04837241c6f767864f","observation_id":"55353f2b-e678-4a43-84f4-8deb43ce592d","resolution":{"observed_at":"2026-08-06T19:35:42.074077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.062660Z","title":"Consistent3d: Towards consistent high-fidelity text-to-3d generation with deterministic sampling prior","venue":null,"work_id":"e2749d92-f09d-4b15-ae03-3847647f4998","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.573039Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:360df5c0279b28b66c584e60412bd66d6ab6b127eecf81784591c6bce4a6634e","observation_id":"5ace5b40-f46f-4b32-bae3-26eccb1773eb","resolution":{"observed_at":"2026-08-06T19:35:42.065731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.01506","last_updated":"2025-05-30T11:13:13Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-02T13:58:38Z","title":"Structured 3D Latents for Scalable and Versatile 3D Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.01506","snapshot_observed_at":"2026-08-06T19:35:41.576057Z","title":"Structured 3d latents for scalable and versatile 3d gen- eration","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.576057Z"},"links":{"cited_paper":"/paper/2412.01506","citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:3acdfbfc5bd488ff93a29dd0660a5a17768ab40390326c7a26f5a2185dcdeb68","observation_id":"e1c429e4-b396-4c86-ae84-675dcd66ea62","resolution":{"observed_at":"2026-08-06T19:35:41.576057Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.054555Z","title":"Gs-slam: Dense visual slam with 3d gaussian splatting","venue":null,"work_id":"14fe05c6-6d64-4a26-961d-587859708cd4","year":2024},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.578972Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:70d2565823aa8c086aa9cd4641f0bd8986f34c930f5541e3e76c538169f7a5a3","observation_id":"e4f239ec-4ad1-445f-bc6f-05165216d0a9","resolution":{"observed_at":"2026-08-06T19:35:42.057686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.045604Z","title":"Dream- reward: Text-to-3d generation with human preference","venue":null,"work_id":"85b96dc6-e15d-4c37-9a36-80fc6cb23dab","year":2025},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.581649Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:3aabea89eaa95e0fb5a7df61d4071e3fa42aaebfa7fe6e0f4bdd7c7422d69277","observation_id":"ebb7b8da-188e-465c-ae40-68202a0290e4","resolution":{"observed_at":"2026-08-06T19:35:42.049340Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.037228Z","title":"Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models","venue":null,"work_id":"d28c7a53-92a1-4a83-8291-72a766e3629a","year":2024},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.584729Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:7299ff770131daab98b5c3bf6088188bbbd6a77ff2f1df0d7f37a6ae736dec1f","observation_id":"1192bfc0-b596-4ecb-a487-080808fe617e","resolution":{"observed_at":"2026-08-06T19:35:42.040595Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.028771Z","title":"Text-to-3d with classifier score distillation","venue":null,"work_id":"496a2885-e882-415a-9faf-2bc76846a992","year":2024},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.587574Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:0358c480153670509a31cf779e6d42455796132d82985fe5e359038558ee22a5","observation_id":"35ac46ae-e47d-4cb4-9f18-dbda10554634","resolution":{"observed_at":"2026-08-06T19:35:42.032093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.019167Z","title":"Mip-splatting: Alias-free 3d gaussian splat- ting","venue":null,"work_id":"eb1de371-44ba-491b-b484-15529e4ef2c5","year":2024},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.590233Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:f63488410c04ce69656f27f798239e3d454ce8554006b10146604fcdde9d76a7","observation_id":"553737e0-2dc3-482d-a43b-c332d2197506","resolution":{"observed_at":"2026-08-06T19:35:42.022515Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.009626Z","title":"Gavatar: Animatable 3d gaussian avatars with implicit mesh learning","venue":null,"work_id":"dca51681-dda7-4698-b3b9-8dab0b0a4c19","year":2024},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.593040Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:4409db1d7a4eaf50b8d737fe911adec757f09d02ec89f0c536de437202f4ad99","observation_id":"28f77cca-dd4d-4208-888d-4215b6b43f8f","resolution":{"observed_at":"2026-08-06T19:35:42.013376Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:42.000453Z","title":"Adding conditional control to text-to-image diffusion models","venue":null,"work_id":"e8af8902-d6f4-465b-81ab-ef419e1d6163","year":2023},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.596013Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:e1b3375eb99f1d411bb0117f00e96c90e93a510a8241f657201f53ea012b650b","observation_id":"8d35f9ce-8bf4-4189-932f-df7cf680a6d0","resolution":{"observed_at":"2026-08-06T19:35:42.004261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.991833Z","title":"Hifa: High- fidelity text-to-3d generation with advanced diffusion guid- ance","venue":null,"work_id":"c110d4d9-229c-47f5-9bad-564980f12e7b","year":2024},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.598909Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:e3ce1b2e4f003e7612057884f628c643223828f914383bcec5f4a3b4e67b99da","observation_id":"403d1cf8-ea5f-438b-a0fc-8690a627db34","resolution":{"observed_at":"2026-08-06T19:35:41.995000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.983477Z","title":"Vivid- dreamer: Invariant score distillation for hyper-realistic text- to-3d generation","venue":null,"work_id":"8cd5ed59-a110-412f-b70f-18322d4957c2","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.601814Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:7e2bfe4cd304ed669f8cb7bd5093e88b075756b2e91afa38c31480944933b205","observation_id":"d009ba5f-1794-4272-9dd8-a26d800b841d","resolution":{"observed_at":"2026-08-06T19:35:41.986509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.967142Z","title":"A blue motorcycle","venue":null,"work_id":"5a931d0b-96df-4d2c-b407-a2c948ff9102","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.608408Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:626504c41462135065e299b31a771461f83091e57a6453c1cef79e8e4341a68e","observation_id":"6e2c4d16-20c6-4a9d-8179-c75d05c23335","resolution":{"observed_at":"2026-08-06T19:35:41.970193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.958518Z","title":"Michelangelo style statue of an astronaut","venue":null,"work_id":"a304d503-1444-404f-8b8b-9a5beb267120","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.611283Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:29df004a984353e32a237e4f1b9306439782bd84913499cb4567670ef3714cf8","observation_id":"6fe716df-90ea-4b8b-a08c-0d55485cfebd","resolution":{"observed_at":"2026-08-06T19:35:41.961850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.949059Z","title":"A DSLR photo of a chow chow puppy","venue":null,"work_id":"0b8fa116-7563-4562-914e-088f31bd2566","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.614990Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:415385492d034eafd06af8dfdd18b8f8bebe3c0a805a12772ca93d82b88bd5fc","observation_id":"3d280c63-4c00-48dc-a0f4-f87743d86cdc","resolution":{"observed_at":"2026-08-06T19:35:41.952025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.941406Z","title":"A DSLR photo of cats wearing eyeglasses","venue":null,"work_id":"d4e9c861-9aba-44bb-a3bf-9c3a51409ca6","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.618273Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:916051a01f3b5aa620d05d6172980a44d382b61d75f346f790c94fbf0cd819bf","observation_id":"45199b85-2bbc-439a-a66f-14b265e5321e","resolution":{"observed_at":"2026-08-06T19:35:41.944310Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.933540Z","title":"A red panda","venue":null,"work_id":"5e52aaae-7e31-4023-898f-7cee571eb503","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.621449Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:3c44d7484d2240c9188d57b31383961a31e1da8a51e3ea363ceae438d0a79ac2","observation_id":"b8fab440-6bfd-4d9a-9272-f329e7b8d791","resolution":{"observed_at":"2026-08-06T19:35:41.936473Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.925469Z","title":"A DSLR photo of an elephant skull","venue":null,"work_id":"226c08c3-e218-4411-801a-4354b1a1a7ea","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.624876Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:b614eac0bc7b4c3b6d5bf066476f68b87a8d463290ae3d8eda26c5c62765390f","observation_id":"233187f0-f526-457a-9e7e-fc0295c9cf8e","resolution":{"observed_at":"2026-08-06T19:35:41.928636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.917081Z","title":null,"venue":null,"work_id":"59b72487-dc80-43aa-8bad-43dd61c22326","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.627911Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:7d17f0bd82d851a86956561585ea21c7e6be1b66866bc406fcf44312869fee43","observation_id":"adaa75c8-49d8-4532-9e4a-246b1c7c644f","resolution":{"observed_at":"2026-08-06T19:35:41.920529Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.908457Z","title":null,"venue":null,"work_id":"d654cf85-8ae4-4fae-9852-2aa1ed0f7e67","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.630928Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:eccded0956ff7149033fdd569c863d86875e13db84b6623127144bce7a942867","observation_id":"387dd889-3423-4627-904a-837c09eccc3b","resolution":{"observed_at":"2026-08-06T19:35:41.911809Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.900748Z","title":"A typewriter","venue":null,"work_id":"4c69afb2-ec47-40ed-98c5-1daa953159cf","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.634057Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:3107c0886879d51fe7c156f429a818a8994e4c3b2c272da3ac5ec8c225b8b000","observation_id":"fb22707a-6bc9-4341-8450-f0c23e96b7d2","resolution":{"observed_at":"2026-08-06T19:35:41.903790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.892852Z","title":"A red-eyed tree frog, low poly","venue":null,"work_id":"79f1b44b-3886-4b3e-a8c3-a5b9c0663c01","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.637472Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:1b6a3eb9bd6fbae059761f50f9069ddd452df7e8e59084fdb865412252f631ca","observation_id":"740b2969-d2f3-4cb2-bfb2-9cceba9dc754","resolution":{"observed_at":"2026-08-06T19:35:41.895676Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.883589Z","title":null,"venue":null,"work_id":"58b012d6-3259-4e69-9e62-db9e59bb5838","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.640808Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:9131dd4cc7614ae63cd087c56335eb4c79d406bc56adc26d23e56777c87dedd2","observation_id":"51bbd798-f5c8-4c32-a774-30139f7f7e1d","resolution":{"observed_at":"2026-08-06T19:35:41.886973Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.875905Z","title":null,"venue":null,"work_id":"0834d9a8-051e-4677-9e73-44d5bcbc76e6","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.643456Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:c837c2e95ec04304fbc6bf7254f9f1157490937e980a0dd630b52f27140a61e4","observation_id":"ef7db4c7-8765-4538-9168-9ba98f4737e9","resolution":{"observed_at":"2026-08-06T19:35:41.878723Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.866113Z","title":"A robot made out of vegetables","venue":null,"work_id":"d07c9a15-8276-4a3f-a807-654cdee689f0","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.646215Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:fdb07feb01dd71dfae68865ab05467fa182f8e15fd979be73771c9d3232e23cb","observation_id":"1b811670-21e2-4c7d-8a82-9d1d4d4432eb","resolution":{"observed_at":"2026-08-06T19:35:41.869834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.858555Z","title":"A DSLR photo of a red rotary telephone","venue":null,"work_id":"f91c834a-7ad2-44b6-8d66-4c7b0596c119","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.649520Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:37807129a5055c8d29203052c26eeb56fc813d5449d9d72177f573f85de6e8d1","observation_id":"bfb90d4f-0810-414d-b506-1b7654887456","resolution":{"observed_at":"2026-08-06T19:35:41.861541Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.850622Z","title":null,"venue":null,"work_id":"28e5ac89-8712-4bce-ac13-1650bf4a1882","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.652341Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:f384d71af8e75cf8496c0710b7f349c0a455dfd0b6d09b5b02a0a96c445fb8ea","observation_id":"3837b46b-a8cc-467b-846e-d84067b85055","resolution":{"observed_at":"2026-08-06T19:35:41.853357Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.841803Z","title":null,"venue":null,"work_id":"1cb2b147-7357-47bd-bced-a8fd5ac2bc38","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.655092Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:af8561c09f9242d7a2465b430be8f5c1e3c2598d4923172ab99944853e10f651","observation_id":"9642b425-1d40-4c05-af3f-2e0e4e42dd08","resolution":{"observed_at":"2026-08-06T19:35:41.844870Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.833683Z","title":null,"venue":null,"work_id":"56fb8df4-01ff-46c8-82b6-8bf4bb3350e1","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.658040Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:16da0a507da9805b03a8d56176cb817b0175b018b56880465aa5c9bb1e7627df","observation_id":"a3b97821-afcd-4ac6-8cb6-c7c86b939e98","resolution":{"observed_at":"2026-08-06T19:35:41.836592Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.825410Z","title":null,"venue":null,"work_id":"b0ff9f2f-77d8-4d4b-ae4e-f57aef78ba79","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.660921Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:9dd2b8290e5e3e962ffcc2a784b1603a7accd05d90a86fc64d804be58aff7375","observation_id":"a11fdb3d-b129-44bf-8774-5155d8e52491","resolution":{"observed_at":"2026-08-06T19:35:41.828356Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.815961Z","title":"A DSLR photo of a baby dragon hatching out of a stone egg","venue":null,"work_id":"0dc52773-426a-4ebd-ba90-a9ad33a67dfb","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.664035Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:654c87a2f8064ef21c385927bfb79dc379ff8d47e57ae042b2abf72e8965448b","observation_id":"75d9cb51-39ae-4df2-8bd8-62222215afbd","resolution":{"observed_at":"2026-08-06T19:35:41.819297Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.806897Z","title":"A DSLR photo of a bear dancing ballet","venue":null,"work_id":"6d3334f0-bf59-4381-a282-9da76cc7d6a8","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.666924Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:0ecfacad210aa1ad72059e404d2ff6c0ce423a773d2884608825524882c0118c","observation_id":"91e8c606-d0ef-4467-ab04-ea83dfca1f02","resolution":{"observed_at":"2026-08-06T19:35:41.810075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.797753Z","title":"A plate of delicious tacos","venue":null,"work_id":"994b0258-9bc8-40aa-b43a-3353cf3cfe97","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.669931Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:1e9ea65dd474a94ddfd21fd354883436300062dc1eb8a765b4d97ca6fe619c50","observation_id":"168e0b79-cc7d-42f4-9595-027e195f926d","resolution":{"observed_at":"2026-08-06T19:35:41.801233Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.787884Z","title":"A DSLR photo of a car made out of cheese","venue":null,"work_id":"5fc0e6a2-a085-470b-9c61-1ce5cdff16e1","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.673051Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:52ddd3c5e6686d174517718c1f40762e4fd581c2f904b35ad6efba6b2a99408f","observation_id":"57258f59-755f-433d-b46b-2ea1cee1568f","resolution":{"observed_at":"2026-08-06T19:35:41.792244Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.778820Z","title":"A yellow school bus","venue":null,"work_id":"e5ede14a-7600-4cd6-a430-a2619b016f22","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.675930Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:14cd940334486fc651690dc26d7a91ffab12ff4527bf034053e0a2383c7fdbd5","observation_id":"6f11df76-e898-471e-ae7c-5bd645f362c3","resolution":{"observed_at":"2026-08-06T19:35:41.781738Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.767939Z","title":"A DSLR photo of a shiny beetle","venue":null,"work_id":"5e5483c8-103a-49ea-9c7e-a961e4bccbec","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.678679Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:8997279f9006bdb2317f0d789981417de644669688d6ad8e5503784bdbcb1a9b","observation_id":"3ee64dd7-5aa7-4f6e-aaa2-397fdc9e06b7","resolution":{"observed_at":"2026-08-06T19:35:41.772089Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:35:41.975195Z","title":"excessive conditional guid- ance,","venue":null,"work_id":"c824f404-d477-4f44-81b7-7677dcda62f8","year":null},"citing_paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:41.604983Z"},"links":{"citing_paper":"/paper/2507.05256"},"observation_digest":"sha256:6aa63f7db445e8e968bc5e7ec5e45a383902b3bbb18506bc1caa8f2de0d5bc84","observation_id":"95ee1d86-2b84-4c85-88bb-80a99d72fa2a","resolution":{"observed_at":"2026-08-06T19:35:41.978119Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.05256","last_updated":"2025-08-03T13:51:56Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T13:47:05.602491Z","submitted_at":"2025-07-07T17:59:05Z","title":"SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation"},"reference_resolution":{"displayed":83,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":18,"verified_exact":0,"verified_fuzzy":64},"total_outbound_references":83},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 0 inbound Pith citation observations for arXiv:2507.05256."}