{"as_of":"2026-08-14T10:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c6e5b436fad9b6519a29e1aff44b1ea00be40089f032ed119719c3048e9672b4","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T05:38:12.886822Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T15:19:02.421080Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T10:46:05.509867Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"cited_work":{"arxiv_id":"2509.05131","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2509.05131","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A scalable attention-based approach for image-to-3D texture mapping","venue":null,"work_id":"4ec867e0-eba2-4fa0-b498-2120d957f8fb","year":2025},"citing_paper":{"arxiv_id":"2605.01789","last_updated":"2026-05-03T09:10:23Z","snapshot_observed_at":"2026-07-06T23:14:57.459903Z","submitted_at":"2026-05-03T09:10:23Z","title":"DataEvolver: Let Your Data Build and Improve Itself via Goal-Driven Loop Agents","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-10T15:19:02.421080Z"},"links":{"cited_paper":"/paper/2509.05131","citing_paper":"/paper/2605.01789"},"observation_digest":"sha256:8c2bc3260cc0dda61bf537eff90ce20ed64e63351d3f1bc9517c2c8b1e6886ee","observation_id":"f0fa7fa3-6d5b-418e-aea9-f7a709647058","resolution":{"observed_at":"2026-05-11T10:46:05.519037Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2509.05131/citation-record","integrity":"/paper/2509.05131/integrity","json":"/paper/2509.05131/citation-record.json","paper":"/paper/2509.05131"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T05:38:19.193139Z","title":"Mesh2tex: Generating mesh textures from image queries, 2023","venue":null,"work_id":"b78d7f36-76b4-40bf-ae27-2aad7c4538f2","year":2023},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:08.024934Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:4b444a18ad10d8a6dd01d58264e82d900b3b28c2ce4b6f7642a3936f7863936a","observation_id":"e17d74d8-d6f1-426c-a2d7-e7e9c0f5b094","resolution":{"observed_at":"2026-08-05T05:38:19.247332Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:19.050533Z","title":"Texfusion: Synthesizing 3d textures with text-guided image diffusion models, 2023","venue":null,"work_id":"f7975b2e-738d-402e-84fc-9a910e10db38","year":2023},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:08.071651Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:774604c927b728eab1b07abd3591c352a01f00a475233fe5b0ddabb32b757bb1","observation_id":"611b0999-161d-4f41-956e-59f5e93303ff","resolution":{"observed_at":"2026-08-05T05:38:19.119703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:18.902546Z","title":"Efficient geometry-aware 3d gen- erative adversarial networks.” arxiv, 2021","venue":null,"work_id":"eae7cf8b-1fc5-4801-b3d3-605e497d379e","year":2021},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:08.166385Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:5eeadf48bdd9a60bfe9fe0dc7f5b0f42eabdde1e9e89690578b792ebf467c3e1","observation_id":"83ab3114-2cdf-4778-8fb5-de3dbdc706ef","resolution":{"observed_at":"2026-08-05T05:38:18.968190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:18.713604Z","title":"Text2tex: Text-driven tex- ture synthesis via diffusion models, 2023","venue":null,"work_id":"4b1d5177-7f96-47a0-9116-5f62eca07297","year":2023},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:08.283359Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:25dcc8ff856852244e4402437d67e53e0e0fa5bb2fdfdadf7738f3e0d5489c50","observation_id":"4e499a18-e8bd-4056-bc3a-86d60c48916b","resolution":{"observed_at":"2026-08-05T05:38:18.811516Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:18.520889Z","title":"Fan- tasia3d: Disentangling geometry and appearance for high- quality text-to-3d content creation, 2023","venue":null,"work_id":"850295c1-c99b-4707-9ee9-d9dd2f343735","year":2023},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:08.396460Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:e3ca43dd4a07b2e9add1c25a3a6543b789cfdd044f17fea5c32a9bea307c4783","observation_id":"612f6e26-c6f1-404b-bbbe-5b83649ec096","resolution":{"observed_at":"2026-08-05T05:38:18.610702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:18.315887Z","title":"Tango: Text-driven photorealistic and robust 3d styliza- tion via lighting decomposition, 2022","venue":null,"work_id":"4413cb24-5801-4510-a7b4-d99442285a70","year":2022},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:08.462599Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:8fe0194ce69aae13caf6f7d52a5c62ade3c31623bbcb231ddd388f051760fd7a","observation_id":"a87f7abd-d378-4c62-9338-9931b3719965","resolution":{"observed_at":"2026-08-05T05:38:18.419652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:18.125301Z","title":"Tuvf: Learning generalizable texture uv radiance fields, 2023","venue":null,"work_id":"204dc7ad-8c4b-4f5a-a2f4-258b0f1f1843","year":2023},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:08.591444Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:e0802e06262e8a6c8c54c42ee1fbc1004077d2aca41663d0afa8d0cfde9ebd14","observation_id":"0aa40770-b3a7-4fce-89c8-39a122f23c23","resolution":{"observed_at":"2026-08-05T05:38:18.209350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:08.660711Z","title":"Objaverse: A universe of annotated 3d objects","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:08.660711Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:b38b2a0724f7bc51569e97a79097acc3927f99d0416ca0f6549a036f9bdcf0a5","observation_id":"7c2fd462-1a41-4c36-abfa-b49fe93c35f0","resolution":{"observed_at":"2026-08-05T05:38:08.660711Z","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":"2026-08-05T05:38:17.939341Z","title":"Diffusion models beat gans on image synthesis.Advances in neural informa- tion processing systems, 34:8780–8794, 2021","venue":null,"work_id":"40a69cf6-1085-4f98-a9d5-7146ac5f8ebe","year":2021},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:08.763756Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:e8dda310f319ee753f4010784629324f78c4688309388a725d38a6f32f4b7b6a","observation_id":"60698811-0581-48e5-89a3-23198fd7ce9c","resolution":{"observed_at":"2026-08-05T05:38:18.018633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:17.759533Z","title":"Google scanned objects: A high- quality dataset of 3d scanned household items","venue":null,"work_id":"8c87142a-5c01-4bb8-a091-f595d12d8552","year":2022},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:08.870618Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:9716a5d9916b42322352adb6002dee84a1a401b745be2b7b4abdb73a4d9e5d9f","observation_id":"5213427c-1c0e-45ac-8a8f-dd3ea8491ca8","resolution":{"observed_at":"2026-08-05T05:38:17.820964Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:08.971412Z","title":"Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:08.971412Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:1d4916d106a93b90536ac6a8e697922bc150728adbcb543f4cd15a702e4957f2","observation_id":"20fd0bb1-33b1-4f5a-ae50-56f036d0d00c","resolution":{"observed_at":"2026-08-05T05:38:08.971412Z","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":"2026-08-05T05:38:17.573649Z","title":"Avatarclip: Zero-shot text- driven generation and animation of 3d avatars, 2022","venue":null,"work_id":"790d33bf-376c-4e0d-aa0c-a918138266fc","year":2022},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:09.075859Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:fb3aecd41eb2a2d0573af5465ceb23426a50fde8c9214b39e242fd99460766dd","observation_id":"cd6ea3b1-5b56-46da-a812-6becd0dbcff1","resolution":{"observed_at":"2026-08-05T05:38:17.648296Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:17.397691Z","title":"Lrm: Large reconstruction model for single image to 3d, 2024","venue":null,"work_id":"67b02777-9c9d-4400-9702-05ea97397c14","year":2024},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:09.173173Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:3f88ce3be04149c164790841ab24ae6882d50bbc75ae43fea14c2569a1605781","observation_id":"4b6c9cfe-2573-4a6a-9624-2278e506b22d","resolution":{"observed_at":"2026-08-05T05:38:17.468432Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:17.246724Z","title":"Tex- gen: Text-guided 3d texture generation with multi-view sam- pling and resampling","venue":null,"work_id":"1a796cf3-63d8-43ef-8533-bcb19a7e50a8","year":2024},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:09.303089Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:7e96afbbd943544b08f1cac39a9735e65eea29c13f6b6f08504aa48b4009c2b4","observation_id":"c7e86923-f71d-4b74-9186-8f3d28aff894","resolution":{"observed_at":"2026-08-05T05:38:17.313609Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:09.382044Z","title":"A style-based generator architecture for generative adversarial networks, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:09.382044Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:5e9c5c901aaee60f2eea6e1fef2970a467059fd8d6b875cf93f2c57ceb721ec1","observation_id":"debf1019-b854-4150-b9b1-24d8c0eecae0","resolution":{"observed_at":"2026-08-05T05:38:09.382044Z","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":"2026-08-05T05:38:17.085828Z","title":"Instant3d: Fast text-to-3d with sparse-view generation and large reconstruction model, 2023","venue":null,"work_id":"cf5132db-b2e6-478a-8bdd-0f334ff6d272","year":2023},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:09.464220Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:39fef284171294940238bde7be787b92e3dc21c6b2ae4b7e06e14996eb403d36","observation_id":"9a517da7-e7d0-4cfe-88b5-840171bb0281","resolution":{"observed_at":"2026-08-05T05:38:17.128731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:09.570878Z","title":"Magic3d: High-resolution text-to-3d content creation, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:09.570878Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:edadf11bcda7e4b210bac905c8d06b8980a76598e1b007f5e04f2983a9ac7230","observation_id":"f5ab4be8-8971-4248-8513-cca29f5318a2","resolution":{"observed_at":"2026-08-05T05:38:09.570878Z","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":"2026-08-05T05:38:16.937485Z","title":"Texoct: Generating textures of 3d models with octree-based diffusion","venue":null,"work_id":"96f1b483-4c06-4a3d-a798-ede3090b9a82","year":2024},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:09.635309Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:9e3e4763e0d8bd447a90bb9ff7653acb6c75d1f173d3a64a209fc0776089dfa5","observation_id":"629b5faf-b53c-4462-a75e-0c18e5c8314a","resolution":{"observed_at":"2026-08-05T05:38:17.001437Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:16.799702Z","title":"X- mesh: Towards fast and accurate text-driven 3d stylization via dynamic textual guidance, 2023","venue":null,"work_id":"136cfab3-9bf3-4eea-9d09-c3a31f05198a","year":2023},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:09.755216Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:c40b1cc26ad8658cbb9e6fcef35a3a99eee400ac766bbf612abb79f6eeb7263d","observation_id":"b18efb45-1f0f-4285-807d-783ff5be1ed1","resolution":{"observed_at":"2026-08-05T05:38:16.865090Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:16.668890Z","title":"Text2mesh: Text-driven neural stylization for meshes, 2021","venue":null,"work_id":"55a949ca-ac2c-4c7d-a5dd-0e2f90ad3207","year":2021},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:09.879388Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:0b2a21e3791bc8ec514a8f528aaf34b018fb6bb7e6e81d6e859a4ee33dd0a150","observation_id":"ae301f61-d5bf-4ebe-aaba-a71441a359d5","resolution":{"observed_at":"2026-08-05T05:38:16.731612Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:16.533940Z","title":"Srinivasan, Matthew Tancik, Jonathan T","venue":null,"work_id":"56fc6fc0-bfe2-4d17-8681-57962a1c81e0","year":2020},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:09.928642Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:f92a958534166497a42444baf615acf8a17393c465ccabfa07f3e58b8ebf5c00","observation_id":"a923fd5b-f827-4088-b41d-d63ffb742228","resolution":{"observed_at":"2026-08-05T05:38:16.590224Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:16.396393Z","title":"Clip-mesh: Generating textured meshes from text using pretrained image-text models","venue":null,"work_id":"011b10f7-866e-469e-ad98-5b5d98a602cd","year":2022},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:09.972745Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:5572d51e98f0cda71987002de8638ac71a46c6a084c8fdda83968e32fd959dd0","observation_id":"efea6adf-210e-4da5-8e78-ea5b02b6d493","resolution":{"observed_at":"2026-08-05T05:38:16.469291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:16.295245Z","title":"Instant neural graphics primitives with a multires- olution hash encoding.ACM Transactions on Graphics, 41 (4):1–15, 2022","venue":null,"work_id":"413a37ef-bd2f-40e4-9f19-a132dcf7b1f6","year":2022},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:10.058081Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:8911706ab9ce7174e10b0c55425e2003c124f0c6b04002b8d0c0b47df87048cf","observation_id":"89bef642-204b-4fcd-a5bb-56bc6c349ba2","resolution":{"observed_at":"2026-08-05T05:38:16.338351Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:16.147358Z","title":"Texture fields: Learning tex- ture representations in function space, 2019","venue":null,"work_id":"b0a3f130-585a-4b02-a57c-8dd2a40f1b20","year":2019},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:10.131149Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:804b458dd31283a3ce8f2f501c5d74b9b82c7673d97c80526d685848e6b8cb84","observation_id":"f01930a1-37af-4bf3-8104-6b569e5dd5eb","resolution":{"observed_at":"2026-08-05T05:38:16.196353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:15.961652Z","title":"Dinov2: Learning robust visual features with- out supervision, 2024","venue":null,"work_id":"bee24d71-4888-41cb-b139-d375cfa623ae","year":2024},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:10.263257Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:ad95bc593777be614568c50f6b64d71779bc1cbba50ff456ce1e10c5bf856be7","observation_id":"766222a7-2a16-4b63-87ce-52cf248dcfdf","resolution":{"observed_at":"2026-08-05T05:38:16.033849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:15.845864Z","title":"Easi-tex: Edge-aware mesh texturing from sin- gle image.ACM Transactions on Graphics (TOG), 43(4): 1–11, 2024","venue":null,"work_id":"09b9df55-0541-4b18-9b48-c2e404dcccb9","year":2024},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:10.382380Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:2cb3ef8e25f1accb627db0c58150940d6e46b39d93bc1942119b82be38eb2735","observation_id":"a2a31b25-7dae-46b2-8153-77be47fdfea1","resolution":{"observed_at":"2026-08-05T05:38:15.899187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:15.707873Z","title":"Barron, and Ben Milden- hall","venue":null,"work_id":"aa6bee2a-1726-48cc-a54b-25fe37216a00","year":2022},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:10.501536Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:2f7de94081be70c30b4612c56df2a107a0766fb565266deb0052cd61782db72c","observation_id":"8344440c-82ef-4f4b-b0a0-d22601b2da6a","resolution":{"observed_at":"2026-08-05T05:38:15.778278Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:15.566175Z","title":"Pointnet: Deep learning on point sets for 3d classification and segmentation","venue":null,"work_id":"f82a7582-7783-43cd-8286-78daf62eedd8","year":2017},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:10.577303Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:e0ff57730a9759a6fa950c99a81f7ca3eba7b012f9cf9abbda0768bec1defc3c","observation_id":"9b9c959c-8c63-4b15-919a-7d76bc42d16c","resolution":{"observed_at":"2026-08-05T05:38:15.625207Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:10.693454Z","title":"Learning transferable visual models from natural language supervision, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:10.693454Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:ddada79afffce8b0560c355d70d2f9415c8ca14183ed06cf0f07fd4e9087b043","observation_id":"a7f518a1-1fe0-42df-9030-4543e3715b92","resolution":{"observed_at":"2026-08-05T05:38:10.693454Z","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":"2026-08-05T05:38:10.792182Z","title":"Learning transferable visual models from natural language supervi- sion","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:10.792182Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:5be9d2097ba02ba388cc8f5980f7900e586f6f71719f82e4c344d7945b66749e","observation_id":"725379f4-2eae-4ef4-ac2e-922467ca197c","resolution":{"observed_at":"2026-08-05T05:38:10.792182Z","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":"2026-08-05T05:38:15.278258Z","title":"Texture: Text-guided texturing of 3d shapes, 2023","venue":null,"work_id":"cc67de4b-b8e0-4aef-86eb-0f20a96012fe","year":2023},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:10.885698Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:4ed9159fd30141c89125c12544f104dca0bf9f178a9209af3c4fe88716c6f42c","observation_id":"7f117800-fa33-4245-884c-1c219abd2843","resolution":{"observed_at":"2026-08-05T05:38:15.463541Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:10.997573Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:10.997573Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:738f42605f3001f5ba94b096fb8c4807e5df02572629067465775bd2143b9f6a","observation_id":"764d8487-2994-45bf-9d40-7e054ebf69d4","resolution":{"observed_at":"2026-08-05T05:38:10.997573Z","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":"2026-08-05T05:38:11.119356Z","title":"Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:11.119356Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:b793a2db93af04e525fb82d996c530b89faea706336dae807abb2bb8b54f35c8","observation_id":"4856e77d-fdd2-4c09-9826-8a74c7e005b8","resolution":{"observed_at":"2026-08-05T05:38:11.119356Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.08017","last_updated":"2024-11-12T18:49:06Z","snapshot_observed_at":"2026-08-13T22:16:11.099024Z","submitted_at":"2024-11-12T18:49:06Z","title":"Wavelet Latent Diffusion (Wala): Billion-Parameter 3D Generative Model with Compact Wavelet Encodings","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.08017","snapshot_observed_at":"2026-08-05T05:38:11.275843Z","title":"Wavelet latent diffusion (wala): Billion-parameter 3d generative model with compact wavelet encodings.arXiv preprint arXiv:2411.08017, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:11.275843Z"},"links":{"cited_paper":"/paper/2411.08017","citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:ba7346bf2a296c9221e7557368d0da5401ff05db4f7886d257d7c441182d4ecb","observation_id":"90e63f9d-b849-44c2-b97c-640fb5cab6ca","resolution":{"observed_at":"2026-08-05T05:38:11.275843Z","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":"2026-08-05T05:38:15.088604Z","title":"Texturify: Generating textures on 3d shape surfaces, 2022","venue":null,"work_id":"27b6a455-136b-45d4-87c2-8da80d8ec394","year":2022},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:11.395729Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:8c771246aeae458aa38d96ea66272f00bb3aebf4dffb70c9e8785eec530a6085","observation_id":"5485841e-1471-46bd-a25e-6b4fdd4b6006","resolution":{"observed_at":"2026-08-05T05:38:15.166091Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1409.1556","last_updated":"2015-04-10T16:25:04Z","snapshot_observed_at":"2026-08-14T04:13:35.056640Z","submitted_at":"2014-09-04T19:48:04Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.1556","snapshot_observed_at":"2026-08-05T05:38:11.499237Z","title":"Very deep convo- lutional networks for large-scale image recognition.arXiv preprint arXiv:1409.1556, 2014","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:11.499237Z"},"links":{"cited_paper":"/paper/1409.1556","citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:82006f4d9c0d51d012b08f3fbe5db3595f572224b91ef01f69ba6a66baa6e2c0","observation_id":"608e7cdf-6c3b-4e3b-a555-90091e57601f","resolution":{"observed_at":"2026-08-05T05:38:11.499237Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.11878","last_updated":"2024-03-18T15:31:57Z","snapshot_observed_at":"2026-08-13T20:19:22.124850Z","submitted_at":"2024-03-18T15:31:57Z","title":"InTeX: Interactive Text-to-texture Synthesis via Unified Depth-aware Inpainting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.11878","snapshot_observed_at":"2026-08-05T05:38:11.619291Z","title":"Intex: Interactive text-to-texture syn- thesis via unified depth-aware inpainting.arXiv preprint arXiv:2403.11878, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:11.619291Z"},"links":{"cited_paper":"/paper/2403.11878","citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:f6a2eb1d9ce93f892c0e31cb1d3a0ac681fda6c81ef10e3c72e4ea9e227e0019","observation_id":"63f7da4e-dc78-4366-a43f-1255b07ce86b","resolution":{"observed_at":"2026-08-05T05:38:11.619291Z","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":"2026-08-05T05:38:14.927955Z","title":"Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion, 2023","venue":null,"work_id":"d0b69b3d-9579-4dbd-96e6-393b36832ce5","year":2023},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:11.723955Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:a929e18be0f73e5785f911b96f5c4f2627e49f0c4b8e869e054d0befb2a265d4","observation_id":"ba24aa96-3941-40d1-9add-37574da93a0c","resolution":{"observed_at":"2026-08-05T05:38:14.991530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:14.773789Z","title":"Grm: Large gaussian reconstruction model for ef- ficient 3d reconstruction and generation, 2024","venue":null,"work_id":"16c81cb7-4138-4d18-b0fd-9088cbe82478","year":2024},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:11.799796Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:ceaa871d484be7b344d6733046c6a8273ef48c33b2018876ff10b7af60c9c8d9","observation_id":"0282fc54-d71e-41f5-9e92-a03ee2a3c80e","resolution":{"observed_at":"2026-08-05T05:38:14.845026Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:14.592218Z","title":"Texturedreamer: Image-guided texture synthesis through geometry-aware diffusion, 2024","venue":null,"work_id":"8c68b9aa-2354-47a4-92f6-eed029cbcdb9","year":2024},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:11.902575Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:0c4ebb70d6561a7f18a98ea0677506e19a4ebf7206a722381f4178b06fbeeeb6","observation_id":"0ef0272e-c042-48f6-8dff-032208a86bf5","resolution":{"observed_at":"2026-08-05T05:38:14.687793Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:14.402941Z","title":"Texture generation on 3d meshes with point-uv diffusion, 2023","venue":null,"work_id":"095870ae-914d-44ca-9acb-36fe0caba852","year":2023},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:12.024522Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:c0db05df9d9f758af248a5ed57a84ac18625ec0fb2fdd13bfd974e9c0df75579","observation_id":"356f09a2-6c64-454c-ac17-5f607ecdcf02","resolution":{"observed_at":"2026-08-05T05:38:14.504922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2506.18331","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T05:38:13.078921Z","title":"Geometry-Aware Preference Learning for 3D Texture Generation.arXiv preprint arXiv:2506.18331, 2025","venue":null,"work_id":"7a97026b-d99d-49e2-a503-24c65ce77f05","year":2025},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:12.138043Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:c817a7286ad27bf41df82357f0b83d22d565c266eed7aa7b751fd8af40f0840b","observation_id":"4a2d2a96-1d35-4846-bd26-4f93686e5dc0","resolution":{"observed_at":"2026-08-05T05:38:13.161975Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:14.171975Z","title":"Paint3d: Paint anything 3d with lighting-less texture diffusion models, 2023","venue":null,"work_id":"af618010-c521-41ea-8c4f-1d14901ab7d3","year":2023},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:12.251060Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:8f621780fd1287756780c2f067b698bf74d6f34a1694c932536378e950387b4a","observation_id":"d39c7486-c837-429d-9517-66334e1998ce","resolution":{"observed_at":"2026-08-05T05:38:14.280159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:13.927791Z","title":"Texpainter: Generative mesh texturing with multi-view consistency, 2024","venue":null,"work_id":"78ba8764-6cb6-4869-9587-77a6b13d794f","year":2024},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:12.386365Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:5e67e54381f44d823e013fd30e733b5e53976309e502ca31f0adec0b978e8e9e","observation_id":"ce6dffd4-48b2-4202-9aeb-8ccc5613d368","resolution":{"observed_at":"2026-08-05T05:38:14.040125Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:13.752171Z","title":"Efros, Eli Shecht- man, and Oliver Wang","venue":null,"work_id":"457a6e62-a935-41c5-bed2-1cb5351a3735","year":2018},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:12.461759Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:b2fdcde6a1011fcb03e49869c1ebca4da6ca5affad6a96f3a7b45c3bf74fb63e","observation_id":"338e87d1-bf63-4172-9465-e9c1d3041095","resolution":{"observed_at":"2026-08-05T05:38:13.815966Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:12.609485Z","title":"The unreasonable effectiveness of deep features as a perceptual metric","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:12.609485Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:658c2356c71235c7b97296e04a63b3fe63c88b7576dd0931876958492b64b5cb","observation_id":"9b610098-9253-435e-9d91-941e6ee41676","resolution":{"observed_at":"2026-08-05T05:38:12.609485Z","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":"2026-08-05T05:38:13.552951Z","title":"Dreammat: High-quality pbr material generation with geometry- and light-aware dif- fusion models, 2024","venue":null,"work_id":"f21400f3-7bcf-4dee-8172-09a1bef4d822","year":2024},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:12.768394Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:1979191ac38df4b6f0ac9039031035dfecbce331bf7481592869367318a06486","observation_id":"a00131da-9495-4f0c-8364-f4a05efd918e","resolution":{"observed_at":"2026-08-05T05:38:13.648199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T05:38:13.323885Z","title":"Triplane meets gaussian splatting: Fast and generalizable single-view 3d reconstruction with transformers, 2023","venue":null,"work_id":"d49e9d19-f8c8-4575-8ba2-e1850eaade00","year":2023},"citing_paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T05:38:12.886822Z"},"links":{"citing_paper":"/paper/2509.05131"},"observation_digest":"sha256:2a6dfe2859946270582a818a2c95705d0601b9ef8916054cf2228ee8c1bf679a","observation_id":"b7084de6-1417-4920-a80a-f17d6ba1ee02","resolution":{"observed_at":"2026-08-05T05:38:13.441044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.05131","last_updated":"2025-09-05T14:18:52Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T15:09:25.058889Z","submitted_at":"2025-09-05T14:18:52Z","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":1,"verified_fuzzy":35},"total_outbound_references":48},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2509.05131."}