{"as_of":"2026-08-09T15:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:85fccb548186d4e1d85c2829f6ff2742fb57882ba61ee9555d6298ef34233b50","coverage":[{"denominator":57,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":57,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T05:45:10.693768Z","state":"measured"},{"denominator":57,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":57,"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/2603.21611/citation-record","integrity":"/paper/2603.21611/integrity","json":"/paper/2603.21611/citation-record.json","paper":"/paper/2603.21611"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1145/3586077","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Journal on Computing and Cultural Heritage","work_id":"5c25d605-36ac-4bb7-9701-ca95a22fedbe","year":2023},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.119701Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:0e003ee0144e83198b11a4cecf45aaca3f1f33d1199c91d72e883103f70e98f2","observation_id":"7cb6f5a6-9024-46af-9490-c2d90f01dffe","resolution":{"observed_at":"2026-08-04T05:48:45.460339Z","resolver_source":"doi","status":"verified_exact"},"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":"2026-08-04T05:45:10.196028Z","title":"In: Proceedings of the 12th International Conference on Virtual Reality, Archaeology and Cultural Heritage","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.196028Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:c9dceb223e7c3b436dd226dc4df9e0b5708ecdcded415427da48212b10b92b42","observation_id":"fd474b90-45fe-4cc0-9ba2-281005803c7f","resolution":{"observed_at":"2026-08-04T05:45:10.196028Z","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":"2026-08-04T05:45:10.270321Z","title":"In: NeurIPS (2025),https://openreview.net/forum?id=ljJGBcpn7q","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.270321Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:2b12646750e147d47a888491392aa7b11373282fe915f96986279f24094bf6d9","observation_id":"dd8462ab-473e-477e-ad9f-f6bebe90c66c","resolution":{"observed_at":"2026-08-04T05:45:10.270321Z","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":"2026-08-04T05:45:10.351631Z","title":"In: CVPR","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.351631Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:72fc15b50bb86421bcaad8e6d10088b947552be79aebfedbbdaa7948b410f4eb","observation_id":"53789901-9828-4a5a-a550-58c90a432484","resolution":{"observed_at":"2026-08-04T05:45:10.351631Z","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":"2026-08-04T05:45:10.407478Z","title":"In: CVPR","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.407478Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:83e3473b6ca47ff13c2896fae94279bd272a7096901bb72675446a1cbd829606","observation_id":"b509c8dc-1ddc-411b-aff9-b3fc256f19fe","resolution":{"observed_at":"2026-08-04T05:45:10.407478Z","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":"2026-08-04T05:45:10.436395Z","title":"ACMJournalonComputingandCulturalHeritage4(2)(2011).https://doi.org/ 10.1145/2037820.2037824","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.436395Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:7b03b714b452133124134a89611e15415ef93cf5b5577d193db18a92512f606d","observation_id":"8bfc4a52-1c64-4ea9-90d5-0b47fa09e9e0","resolution":{"observed_at":"2026-08-04T05:45:10.436395Z","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":"2026-08-04T05:45:10.491344Z","title":"In: Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G., Sabato, S","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.491344Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:c39b12c98cc919d80cdec51cb0c5af1a9f766e98eaacb7bf0b3113c67bda4791","observation_id":"22098b6e-afd4-40cb-b708-23b2d6e3bf59","resolution":{"observed_at":"2026-08-04T05:45:10.491344Z","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":"2026-08-04T05:45:10.519269Z","title":"In: CVPR","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.519269Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:57c972abb6e32f7c9bb4bb37d8450ba9ea2f889bb4edf06e962be742863dd1c5","observation_id":"38bdbf21-256d-437f-93d3-c3851a28e130","resolution":{"observed_at":"2026-08-04T05:45:10.519269Z","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":"2026-08-04T05:45:10.524767Z","title":"In: CVPR","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.524767Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:ef3cc75b1c2b9317977fd76d747b394055e3dd9e712647c8994fa77ac8480d6c","observation_id":"af1b9694-8fac-472b-952f-e72fc4a964f6","resolution":{"observed_at":"2026-08-04T05:45:10.524767Z","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":"2026-08-04T05:45:10.528358Z","title":"In: ICCV","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.528358Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:1a9651fc4ec3b672225dc6c698dcc43a9967585818a7388fd63ce58f018e5b13","observation_id":"36e68420-1760-49ef-8ce1-17a2e8c4c0dc","resolution":{"observed_at":"2026-08-04T05:45:10.528358Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-04T05:45:10.532073Z","title":"In: NeurIPS (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.532073Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:46874118d2a8439d293d8a19e4f09cd41c31e14535574aaafc914979b2caa749","observation_id":"d84066d6-dc22-4e74-9e59-67547d0077b4","resolution":{"observed_at":"2026-08-04T05:45:10.532073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.11419","last_updated":"2019-11-26T09:41:04Z","snapshot_observed_at":"2026-08-03T07:37:16.930755Z","submitted_at":"2019-11-26T09:41:04Z","title":"Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.11419","snapshot_observed_at":"2026-08-04T05:45:10.535876Z","title":"ACM TOG25(3), 569–578 (2006)","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.535876Z"},"links":{"cited_paper":"/paper/1911.11419","citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:4b2bf4f57a1a282ed6b3378a46e114c7852e5c0bd4346e19a489dd8faec80818","observation_id":"7f44fc16-97ff-4805-a354-98ecc29ed182","resolution":{"observed_at":"2026-08-04T05:45:10.535876Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12202","last_updated":"2026-05-14T15:41:39Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-21T15:16:54Z","title":"Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12202","snapshot_observed_at":"2026-08-04T05:45:10.540026Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.540026Z"},"links":{"cited_paper":"/paper/2501.12202","citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:2e3c792119de540353bc7642c22b37ce64530ac7c4fe7d6a59e6e1d20dd0fc2a","observation_id":"3a19b115-e474-4976-9f2a-1affe416e448","resolution":{"observed_at":"2026-08-04T05:45:10.540026Z","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":"10.3390/s25216533","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Sensors25(21) (2025)","venue":"Sensors","work_id":"360da0f4-fd0a-42c7-8c04-bcc3ede218bd","year":2025},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.543688Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:6b38aee606c650c64b9cdbe4d6d3d5608ecda1261ecf360a63ff947c20aa9aa6","observation_id":"1ff42d63-906b-4f89-8cab-0c7ac19eed4b","resolution":{"observed_at":"2026-08-04T05:48:45.208309Z","resolver_source":"doi","status":"verified_exact"},"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":"2026-08-04T05:45:10.547299Z","title":"In: CVPR","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.547299Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:81ca944889022f1cbd0d2da8d733cd6e8a42cb15db0050db55c70820ece6b614","observation_id":"6a3d0258-fd81-42cf-bfe4-35c81d298217","resolution":{"observed_at":"2026-08-04T05:45:10.547299Z","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":"2026-08-04T05:45:10.550912Z","title":"In: ICLR (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.550912Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:30f25c9f930cda77c3809eab51fc88c176463154a93725b89bc637d2c2391d7b","observation_id":"82486353-36a9-4ba6-96d6-775c63eb9d43","resolution":{"observed_at":"2026-08-04T05:45:10.550912Z","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":"2026-08-04T05:45:10.554289Z","title":"In: ICLR 2022 Workshop on Geometrical and Topological Representation Learning (GTRL) (2022),https: //openreview.net/forum?id=BY88eBbkpe5","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.554289Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:c191b7579d97c2d3ca84d19d6730fda6af138bd867526e5d7f9a77efd0c251e7","observation_id":"8c9baf2b-a96c-4368-b5c3-b010e3c60cd5","resolution":{"observed_at":"2026-08-04T05:45:10.554289Z","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":"2026-08-04T05:45:10.557783Z","title":"In: Proceedings of the 41st Inter- national Conference on Machine Learning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.557783Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:9dbaa03f0576e9b21de9bb4f0319877dc90ddab722bcb377bf95f51e414288b1","observation_id":"62cc84f3-d3cc-4f9d-a659-c2309422e553","resolution":{"observed_at":"2026-08-04T05:45:10.557783Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17788","last_updated":"2024-12-01T08:00:56Z","snapshot_observed_at":"2026-08-05T17:57:04.379477Z","submitted_at":"2024-11-26T15:29:38Z","title":"Geometric Point Attention Transformer for 3D Shape Reassembly","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.17788","snapshot_observed_at":"2026-08-04T05:45:10.561177Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.561177Z"},"links":{"cited_paper":"/paper/2411.17788","citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:73f13179d076b3a9b2841e4025b82998f486b866ae57b72b67aa8f89c920518e","observation_id":"23e49722-268e-44a5-833f-09bc7881662b","resolution":{"observed_at":"2026-08-04T05:45:10.561177Z","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":"2026-08-04T05:45:10.565368Z","title":"In: ICCV","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.565368Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:8cce83ed8692e5b7683458056676be05913f157fd38ff28045f894c6401afccb","observation_id":"76ef4055-38f5-4da6-976a-4320e3e900bf","resolution":{"observed_at":"2026-08-04T05:45:10.565368Z","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":"10.52202/079017-3985","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"(2024).https://doi.org/10.52202/079017-3985","venue":null,"work_id":"69c73be7-4eeb-4279-952c-9158ee20014c","year":2024},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.568740Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:55968220e3ff13207f032fd4f0721d49189326550fbafb8e412dec8826fb80e7","observation_id":"e06387be-9896-408b-990c-de5c086af1f5","resolution":{"observed_at":"2026-08-04T05:48:44.873818Z","resolver_source":"doi","status":"verified_exact"},"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":"2026-08-04T05:45:10.572143Z","title":"In: NeurIPS (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.572143Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:a27ceec6316672d6308108eec153df86828978f7bf5900f8795aa334bd913521","observation_id":"8da1fe00-0349-4eb5-befb-e6cb9422f589","resolution":{"observed_at":"2026-08-04T05:45:10.572143Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.14577","last_updated":"2022-09-29T06:37:26Z","snapshot_observed_at":"2026-08-07T23:47:17.083775Z","submitted_at":"2022-09-29T06:37:26Z","title":"Rectified Flow: A Marginal Preserving Approach to Optimal Transport","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.14577","snapshot_observed_at":"2026-08-04T05:45:10.575873Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.575873Z"},"links":{"cited_paper":"/paper/2209.14577","citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:417cbc6b5cd11a81ac584d189bb1a38250edf340b4befb8e29ba263d08d0c205","observation_id":"166880e5-d74e-4260-94cd-32d25fcf8fc9","resolution":{"observed_at":"2026-08-04T05:45:10.575873Z","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":"2026-08-04T05:45:10.579605Z","title":"In: ICLR (2023),https://openreview.net/forum?id= XVjTT1nw5z","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.579605Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:d4070a81be80e4be7ea8a1455e094951be07f7dcaff3d99a87edb9f0a90a1cfa","observation_id":"727214e6-9199-459c-a278-6e0e357a5366","resolution":{"observed_at":"2026-08-04T05:45:10.579605Z","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":"2026-08-04T05:45:10.583344Z","title":"In: ICCV","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.583344Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:3407ff8a300991455a335f850b64c37ae456dbeb612a48838753320d3fe9f879","observation_id":"eb4cb31e-f9b8-4c31-8447-deaacf0f1655","resolution":{"observed_at":"2026-08-04T05:45:10.583344Z","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":"2026-08-04T05:45:10.586998Z","title":"Computer Graphics Forum44(2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.586998Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:f22c190eccb1315f79fd53f3171c03eb059401980c9a0de1ea9a52de9b93ee94","observation_id":"65c7c1b9-97f4-4fb3-8ee6-2b1c8dcfd246","resolution":{"observed_at":"2026-08-04T05:45:10.586998Z","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":"2026-08-04T05:45:10.590441Z","title":"In: NeurIPS","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.590441Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:caa418252cb559961e2745bffbe06211262c775a054078bd517017ae0e0f4600","observation_id":"39ac13f6-a883-450a-bab1-1015c5bad7f8","resolution":{"observed_at":"2026-08-04T05:45:10.590441Z","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":"2026-08-04T05:45:10.593953Z","title":"In: CVPR","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.593953Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:84d2dfa2a133468e296eb7f6000b0df668e24d709f5cd60077dd49518d6093e5","observation_id":"467e58aa-e46f-4331-9096-571b6ac68efa","resolution":{"observed_at":"2026-08-04T05:45:10.593953Z","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":"2026-08-04T05:45:10.597194Z","title":"In: CVPR (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.597194Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:19813160328776baacab17d718f34a98f6aa0569b7c695cb3495c7de7086094b","observation_id":"c67706e1-a0d9-4f30-bc3a-4bee7c1e7944","resolution":{"observed_at":"2026-08-04T05:45:10.597194Z","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":"2026-08-04T05:45:10.600869Z","title":"Springer International Publishing (2020).https://doi.org/10.1007/978-3-030- 58452-8_24,https://doi.org/10.1007/978-3-030-58452-8_24","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.600869Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:495763ebba80163aea07f78e41d3ad011d04578e2ca406af8fc7bb630276c09a","observation_id":"d9ede10b-17fa-4d81-aa3c-a3f74817eccb","resolution":{"observed_at":"2026-08-04T05:45:10.600869Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.09748","last_updated":"2023-03-02T09:06:55Z","snapshot_observed_at":"2026-07-06T14:32:37.317828Z","submitted_at":"2022-12-19T18:59:58Z","title":"Scalable Diffusion Models with Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.09748","snapshot_observed_at":"2026-08-04T05:45:10.604285Z","title":"arXiv preprint arXiv:2212.09748 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.604285Z"},"links":{"cited_paper":"/paper/2212.09748","citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:9e9c5de28f9c5856aa9a4869e5f54abdd8eab2579cf4142b63253f32e60b23f2","observation_id":"738c6c56-8863-44b0-84c4-4cfafc9e6a3c","resolution":{"observed_at":"2026-08-04T05:45:10.604285Z","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":"2026-08-04T05:45:10.607988Z","title":"In: International SARe: Structure-Aware Large-Scale 3D Fragment Reassembly 17 Conference on Learning Representations (ICLR) (2024),[https://openreview","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.607988Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:6baa9ce5a49496e20f888bb54dfe38871c6c110d608b93e6fcb19758596eee2c","observation_id":"0070a627-8d5a-4d5b-9e04-d2a397c63c90","resolution":{"observed_at":"2026-08-04T05:45:10.607988Z","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":"2026-08-04T05:45:10.611359Z","title":"In: CVPR","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.611359Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:58a4a0f07f233c78a189b4f554f45d14b97fa104314e3ce6e7108b932ab3c09b","observation_id":"d4bb15f3-d646-4256-9d65-a1a7771e90f4","resolution":{"observed_at":"2026-08-04T05:45:10.611359Z","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":"2026-08-04T05:45:10.614786Z","title":"In: CVPR","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.614786Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:96e8fcba12f1c3ac81d747eb052ddf23e0dc8cf71e2131050b482de6a440c99d","observation_id":"47375225-5995-432c-9cc8-da230a10b093","resolution":{"observed_at":"2026-08-04T05:45:10.614786Z","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":"2026-08-04T05:45:10.618308Z","title":"In: CVPR (June 2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.618308Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:c44aa8728bddde701b9d12a6ce3b2c79a65ae8f8ea84c46191c810b7b67c3ea6","observation_id":"eeada124-176a-4d38-99ce-fc7c090a7994","resolution":{"observed_at":"2026-08-04T05:45:10.618308Z","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":"2026-08-04T05:45:10.621991Z","title":"In: NeurIPS","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.621991Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:347226a5fc8ef884c8584281671cd58641b11664744c2cc36fe1ec5c52559248","observation_id":"e6685de0-24fa-4f96-b301-af65c0cd8ee5","resolution":{"observed_at":"2026-08-04T05:45:10.621991Z","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":"10.1145/3549540","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ACM TOG42(1) (2023).https://doi.org/10.1145/3549540,https://doi.org/10.1145/3549540","venue":"ACM Transactions on Graphics","work_id":"b41cec12-50af-4ba4-8578-9c4f23e74c37","year":2023},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.625403Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:00aaebda563d3c1943584206e58df3583f51a119a610b6cfd73593d0f2eb71ae","observation_id":"23bb08df-3cfb-4d61-a2ae-32800ce2f968","resolution":{"observed_at":"2026-08-04T05:48:44.620662Z","resolver_source":"doi","status":"verified_exact"},"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":"2026-08-04T05:45:10.628972Z","title":"In: ICML (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.628972Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:e385ac3e84e9bd461ba4cf42b38b2460268b6cd05c6e8382099b4567364ac357","observation_id":"fcc27223-4187-4332-ae06-2e9a35955998","resolution":{"observed_at":"2026-08-04T05:45:10.628972Z","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":"2026-08-04T05:45:10.632466Z","title":"In: NeurIPS (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.632466Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:fa238714fd32a1b75aba7c6d14f703e478383d9ed0ecacee2d491459fbdea0ae","observation_id":"b65665ab-1fbc-42ca-b235-5e498a930517","resolution":{"observed_at":"2026-08-04T05:45:10.632466Z","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":"2026-08-04T05:45:10.635992Z","title":"In: NeurIPS","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.635992Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:bca24989ae45eef45a7c6e1c7e86168829a21d78a2808a5a204f36bb74ce49b5","observation_id":"81e5124c-921e-4202-b1a0-33560d6ac047","resolution":{"observed_at":"2026-08-04T05:45:10.635992Z","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":"2026-08-04T05:45:10.639288Z","title":"In: Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J., Zhang, C","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.639288Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:4b829f1e5aeb1eb5ab09371e9972174ce5e19208e74dfc0b83ebcdf2d90004bb","observation_id":"23b63e32-6c40-4590-bdff-25fe97fd3ae6","resolution":{"observed_at":"2026-08-04T05:45:10.639288Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-04T05:45:10.642541Z","title":"In: ICLR (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.642541Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:07834ae803817a7cd1beb12ebe87d2bdc4b81a3b425ff63db42d631072b02816","observation_id":"077b769f-e2ad-4171-b3bc-42f78e423860","resolution":{"observed_at":"2026-08-04T05:45:10.642541Z","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":"2026-08-04T05:45:10.645981Z","title":"In: ICCV","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.645981Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:c7ab1ad638cd453637ba89869907620b6b7c00a382f1c5e2c831c4b6caac97a4","observation_id":"8ab79a9a-6432-4a12-a1fc-30af88f42cb9","resolution":{"observed_at":"2026-08-04T05:45:10.645981Z","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":"2026-08-04T05:45:10.649586Z","title":"In: CVPR","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.649586Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:1ff265bd171fac46d717bc12376b60105c44dec104fa3216e6e1ab3cc95d2d02","observation_id":"a9d7c572-8ab1-4fff-be15-b4ecea8fe6f8","resolution":{"observed_at":"2026-08-04T05:45:10.649586Z","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":"2026-08-04T05:45:10.653219Z","title":"In: CVPR","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.653219Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:acbec1971f9b4e6a66fda2450b5cba66eaf86a2f835e80696829ccb089b08b0a","observation_id":"5a3e89b3-ec95-4028-ab53-f150559640c5","resolution":{"observed_at":"2026-08-04T05:45:10.653219Z","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":"10.1016/j.jcde.2014.12.002","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Journal of Com- putational Design and Engineering2(2), 79–87 (2015).https://doi.org/https: //doi.org/10.1016/j.jcde.2014.12.002","venue":"Journal of Computational Design and Engineering","work_id":"b38f12f4-c594-481b-b5be-66ec68c71b80","year":2015},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.656534Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:72feb04057a8cf7af1fbe4a214410ed3e64f457f9a0343620dd0be33615b617d","observation_id":"eae74f62-ef96-49f7-aa50-a45abeb76eaf","resolution":{"observed_at":"2026-08-04T05:48:44.366254Z","resolver_source":"doi","status":"verified_exact"},"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":"2026-08-04T05:45:10.660001Z","title":"In: SIGGRAPH Asia 2024 Confer- ence Papers","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.660001Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:bf3697dbbb84812a69d7be086370c8b69d16f5214902decaf545ee8f108b3437","observation_id":"267bbdf6-cfef-4f62-9766-6448f87bfe64","resolution":{"observed_at":"2026-08-04T05:45:10.660001Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.00303","last_updated":"2025-08-01T04:08:17Z","snapshot_observed_at":"2026-08-06T10:15:51.976145Z","submitted_at":"2025-08-01T04:08:17Z","title":"TopoDiffuser: A Diffusion-Based Multimodal Trajectory Prediction Model with Topometric Maps","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.00303","snapshot_observed_at":"2026-08-04T05:45:10.663283Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.663283Z"},"links":{"cited_paper":"/paper/2508.00303","citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:f30489b9d136ece97f9b53f0445c64c337b16df468d7d48850b9e845d34b5e28","observation_id":"82ec4897-dd20-42f9-ad79-5f23c4bf46b4","resolution":{"observed_at":"2026-08-04T05:45:10.663283Z","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":"2026-08-04T05:45:10.666895Z","title":"In: ICLR (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.666895Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:8786990e6c32cdb404c3b8b148278e7c32b3f3967c6ba6855fc04a04ca74e9c6","observation_id":"3dfcb2fb-edf7-4d6f-9c1c-a0d749fe0e22","resolution":{"observed_at":"2026-08-04T05:45:10.666895Z","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":"2026-08-04T05:45:10.670234Z","title":"In: CVPR (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.670234Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:f4a968b3dfc3e66e254db9858c145d24079760d39091771e10159b707bf2fe56","observation_id":"0ae32d17-0a2e-43cd-bce2-5a8681024ba6","resolution":{"observed_at":"2026-08-04T05:45:10.670234Z","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":"2026-08-04T05:45:10.673356Z","title":"In: ICLR (2025),[https://openreview.net/forum?id=DJSZGGZYVi](https:// openreview.net/forum?id=DJSZGGZYVi)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.673356Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:94a39384128c43fad00df8f3fc0471358e8aa46c239b9f2745ab6490c1f7f574","observation_id":"771e5842-e06f-4268-82f0-3a8413828251","resolution":{"observed_at":"2026-08-04T05:45:10.673356Z","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":"2026-08-04T05:45:10.676978Z","title":"In: Koyejo, S., Mo- hamed, S., Agarwal, A., Belgrave, D., Cho, K., Oh, A","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.676978Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:8c396e6ed1450241f46f9ca7201cdb4e9362caac0b03b2e452542a8f18606092","observation_id":"f4ab9621-45a3-4a31-bf5d-56995dfcd3ad","resolution":{"observed_at":"2026-08-04T05:45:10.676978Z","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":"2026-08-04T05:45:10.680252Z","title":"ACM TOG42(4) (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.680252Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:9af8d273d5a74332229776ef8821110ee06daef1613e918df1a8f9d299657649","observation_id":"3a3bdb58-5431-4a97-9514-10af14a51e21","resolution":{"observed_at":"2026-08-04T05:45:10.680252Z","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":"2026-08-04T05:45:10.683733Z","title":"In: ICLR (2025),https://openreview.net/forum?id= 72OSO38a2z","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.683733Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:b78ca8c0bc8a9fa0afc133f337b44c643fa60e24983018ab42dcc25ef1f68813","observation_id":"d068ade1-9be7-4749-b3ed-2c14d56aa25c","resolution":{"observed_at":"2026-08-04T05:45:10.683733Z","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":"2026-08-04T05:45:10.687226Z","title":"In: Proceedings of the SIGGRAPH Asia 2025 Conference Papers","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.687226Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:c34149b2778c542dc891e974304eb25477f515f44530aef4a03acce9e1463728","observation_id":"a9191ae8-de37-4e15-ab33-70da56538b70","resolution":{"observed_at":"2026-08-04T05:45:10.687226Z","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":"2026-08-04T05:45:10.690521Z","title":"In: CVPR","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.690521Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:4b02cc92d90dbb444128ef88008e36c71bed3469d0a124df52afaaf0d4133158","observation_id":"7528efda-4348-488e-afde-0196cecb50fd","resolution":{"observed_at":"2026-08-04T05:45:10.690521Z","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":"10.2312/dh.20253389","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"In: Digital Heritage","venue":"Eurographics","work_id":"9421d533-973d-4744-bac3-d509ae6e59be","year":2025},"citing_paper":{"arxiv_id":"2603.21611","last_updated":"2026-08-01T10:57:18Z","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-04T05:45:10.693768Z"},"links":{"citing_paper":"/paper/2603.21611"},"observation_digest":"sha256:e1f41ef8ea6cbab76cf23fa43c60e3b00cc333f578a179e5af1885d645a589ed","observation_id":"c17a657a-6151-4d9e-bfec-bd3992d16acb","resolution":{"observed_at":"2026-08-04T05:48:44.159968Z","resolver_source":"doi","status":"verified_exact"},"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":"2603.21611","last_updated":"2026-08-01T10:57:18Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T17:34:53.046005Z","submitted_at":"2026-03-23T06:13:14Z","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly"},"reference_resolution":{"displayed":57,"state_counts":{"malformed_identifier":3,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":48,"verified_exact":6,"verified_fuzzy":0},"total_outbound_references":57},"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 9 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2603.21611."}