{"as_of":"2026-08-07T21:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a95de0472e553b9f469762c9bd736376900fe1bde5c5d74736fe543a87459ee6","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T03:21:35.580083Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2608.02598/citation-record","integrity":"/paper/2608.02598/integrity","json":"/paper/2608.02598/citation-record.json","paper":"/paper/2608.02598"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T03:21:35.412217Z","title":"The Fourteenth International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.412217Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:6e5a51a88620006dba6b20429fd495c9e2aff22addbf0e147efcea95329b410a","observation_id":"f37544c2-917f-41d0-9ec4-f3efee427cb5","resolution":{"observed_at":"2026-08-04T03:21:35.412217Z","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":"2026-08-04T03:21:35.416626Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.416626Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:2f562750e6c45cbce86dd52f863e93873b3160ae8211222076fc6b98e2d62db2","observation_id":"419cab2a-b293-42b2-b0ca-d5f3b4cc5e1b","resolution":{"observed_at":"2026-08-04T03:21:35.416626Z","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":"2026-08-04T03:21:35.423034Z","title":"2023 IEEE International Conference on Multimedia and Expo (ICME) , pages=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.423034Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:59241770439849430109dc0237982c3d95747b2be013a09aa6562d78412a7118","observation_id":"35d3cfe8-9ff6-48db-91dc-020e6986c08c","resolution":{"observed_at":"2026-08-04T03:21:35.423034Z","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":"2026-08-04T03:21:35.427596Z","title":"v2: Bridging aerial and ground views for person re-identification , author=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.427596Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:1526b8c369fdd1cff814559d686603450361a423314baf841bc43cbf67e8fdbe","observation_id":"cb282ab9-31f5-41e2-aeaf-0f3f8a22a8ed","resolution":{"observed_at":"2026-08-04T03:21:35.427596Z","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":"2026-08-04T03:21:35.431609Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.431609Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:3c1aa457b5b41c9a46998561314bf9cb193d80208a2ef196bf9298483c6ccb74","observation_id":"7912606d-9265-46bd-a584-1ddc583dc3bd","resolution":{"observed_at":"2026-08-04T03:21:35.431609Z","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":"2026-08-04T03:21:35.435467Z","title":"2025 IEEE International Conference on Multimedia and Expo (ICME) , pages=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.435467Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:cfdc06cb649c411b1864b975bf0b3dfa46a5a07a46daeda3c8d26d6192913b44","observation_id":"0a131d41-832c-4372-8357-ca24b608e0b7","resolution":{"observed_at":"2026-08-04T03:21:35.435467Z","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":"2026-08-04T03:21:35.439514Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.439514Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:1510db459d2b93da9366f04a6c401ff6e314113461d9df42191be47a279d0d5d","observation_id":"a0d7edee-9cbe-42ff-9c16-4d58f370395d","resolution":{"observed_at":"2026-08-04T03:21:35.439514Z","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":"2026-08-04T03:21:35.443484Z","title":"Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.443484Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:96b4ad9533cef566ab26d7997a87a8abf40883c5ed4124a5cb329fd325de5f8f","observation_id":"221f94f2-bb7c-4c48-807d-15ca084a98f3","resolution":{"observed_at":"2026-08-04T03:21:35.443484Z","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":"2026-08-04T03:21:35.447357Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.447357Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:4e27ff0c393c9f0df28e4557b7d87f101434bfa4e7eb7c251ac5de7003244cde","observation_id":"62650061-1793-4aed-b2ba-6d89a6cca3cc","resolution":{"observed_at":"2026-08-04T03:21:35.447357Z","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":"2026-08-04T03:21:35.451551Z","title":"Proceedings of the AAAI Conference on Artificial Intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.451551Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:0364e4284e73101e2005562448dac00f127495e62189fa9b45c81b3b8eda42f8","observation_id":"35f6ffe4-3e98-4131-9017-059df3c0f3f3","resolution":{"observed_at":"2026-08-04T03:21:35.451551Z","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":"2026-08-04T03:21:35.456213Z","title":"IEEE Transactions on Image Processing , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.456213Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:cf45ec8f2cd3bccc63c9ca8af6029b161136c853f9e288426fc835a5ca58d64d","observation_id":"bbadb974-72aa-45c1-a819-745ae34ec745","resolution":{"observed_at":"2026-08-04T03:21:35.456213Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.26520","last_updated":"2026-06-29T12:20:18Z","snapshot_observed_at":"2026-08-01T09:07:01.073404Z","submitted_at":"2026-04-29T10:38:48Z","title":"3D-LENS: A 3D Lifting-based Elevated Novel-view Synthesis method for Single-View Aerial-Ground Re-Identification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.26520","snapshot_observed_at":"2026-08-04T03:21:35.460179Z","title":"arXiv preprint arXiv:2604.26520 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.460179Z"},"links":{"cited_paper":"/paper/2604.26520","citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:8ef3e0af8ee19de3de08ef3ecab1ae36ebd250eed8aab62d3d3e9860eca182e1","observation_id":"5dcbafdd-b2ba-4c7a-a833-a9a32cc32b25","resolution":{"observed_at":"2026-08-04T03:21:35.460179Z","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":"2026-08-04T03:21:35.464402Z","title":"IEEE transactions on neural networks and learning systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.464402Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:f66efdd93a1efcaa669dc79027ab63204b0e44c105a3e32cffc7871e38502a2e","observation_id":"cd270368-9767-48bb-be9c-af4d7509c5f3","resolution":{"observed_at":"2026-08-04T03:21:35.464402Z","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":"2026-08-04T03:21:35.468514Z","title":"Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.468514Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:de6c3f4956b91dd182257fa7e23d55f5d7ef55206ad39271a92034e39ab79b83","observation_id":"eb396058-2144-4a6f-967b-d958da90b60d","resolution":{"observed_at":"2026-08-04T03:21:35.468514Z","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":"2026-08-04T03:21:35.472616Z","title":"Proceedings of the IEEE/CVF international conference on computer vision , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.472616Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:381c4b7e850624184064ce29c4361fa973b78df0a0babb93ee17f259cc813e73","observation_id":"fd899a85-8473-48d7-8e80-019f2311bea9","resolution":{"observed_at":"2026-08-04T03:21:35.472616Z","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":"2026-08-04T03:21:35.476493Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.476493Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:e16ed7f9d646c2fd2959de50a7a85a91cd05e00f30f888e232ce0ada4795e201","observation_id":"25650939-b8fc-43ae-8c7e-a254d43542a0","resolution":{"observed_at":"2026-08-04T03:21:35.476493Z","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":"2026-08-04T03:21:35.480600Z","title":"Proceedings of the IEEE/CVF international conference on computer vision , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.480600Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:22469147f94d83f092f0855ccff2eb8c91a65edde7ef4022f596be870fe85df9","observation_id":"34e08ee6-755c-45c0-a26a-7c63c70f978f","resolution":{"observed_at":"2026-08-04T03:21:35.480600Z","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":"2026-08-04T03:21:35.484590Z","title":"Proceedings of the AAAI conference on artificial intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.484590Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:ff2dbb567df6f27306274bdb3dcd277644e681e5a01803a640010c186acaf88e","observation_id":"01363a2b-906b-4934-a1c4-c831813adc8a","resolution":{"observed_at":"2026-08-04T03:21:35.484590Z","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":"2026-08-04T03:21:35.488843Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.488843Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:2e154f24ac723c0b4cbd6b8be84bf5800254a461f5d6c3a9ec906da1948ddaab","observation_id":"c0caacd3-9c45-4f71-b115-e31cb9323f25","resolution":{"observed_at":"2026-08-04T03:21:35.488843Z","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":"2026-08-04T03:21:35.492365Z","title":"Proceedings of the Computer Vision and Pattern Recognition Conference , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.492365Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:4dad88940e82f90f20b1f2a021cfefbfcd5a3a365e52fc8abc68f0b9367a732d","observation_id":"6032a924-0342-4447-a18f-e2de3a2f46aa","resolution":{"observed_at":"2026-08-04T03:21:35.492365Z","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":"2026-08-04T03:21:35.496503Z","title":"Proceedings of the AAAI Conference on Artificial Intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.496503Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:9b6c0d10bb6a15792fdfd29b3b3cfebf2c72e5aa74ec2564925a5ff6c4e03a25","observation_id":"ae165fc8-a4e6-4e28-8b36-4624b29791c0","resolution":{"observed_at":"2026-08-04T03:21:35.496503Z","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":"2026-08-04T03:21:35.500369Z","title":"Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.500369Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:4e0750c1c55ea14560fb5378f82bc9d9d3e37876575a1d40ddca751257c18e24","observation_id":"e0c20992-1d1b-43f3-8007-ee111d964d3d","resolution":{"observed_at":"2026-08-04T03:21:35.500369Z","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":"2026-08-04T03:21:35.504176Z","title":"Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.504176Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:ea00a46ae22835e53c863be97251ab036591bf7a586386d67290f86b87298a68","observation_id":"b7d8089c-1c5f-4056-9660-1fed0c3aa086","resolution":{"observed_at":"2026-08-04T03:21:35.504176Z","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":"2026-08-04T03:21:35.507962Z","title":"IEEE Transactions on Information Forensics and Security , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.507962Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:8a0de46e47ab94ed44a8d848865e80e9d3debc409277bc98711a93b101ac42f2","observation_id":"2497b178-30bf-4e5d-9f3f-6105e281cb85","resolution":{"observed_at":"2026-08-04T03:21:35.507962Z","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":"2026-08-04T03:21:35.511390Z","title":"Proceedings of the Computer Vision and Pattern Recognition Conference , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.511390Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:539213fd10ccc9d00b781f19dedd1e07d017c35cf03b0aa1c9de16cc080e06c9","observation_id":"e5ace609-0341-44af-956b-fdd16ee1cae8","resolution":{"observed_at":"2026-08-04T03:21:35.511390Z","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":"2026-08-04T03:21:35.516017Z","title":"Proceedings of the 31st ACM International Conference on Multimedia , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.516017Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:82cf7e34b53b6a1ac36ce7cd50fd2d663f53c2b4f4e19f827250de86d7a6b205","observation_id":"3ba9b3f6-d027-4162-b896-0289cdc0a68f","resolution":{"observed_at":"2026-08-04T03:21:35.516017Z","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":"2026-08-04T03:21:35.519932Z","title":"Proceedings of the Computer Vision and Pattern Recognition Conference , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.519932Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:13266a768606538575e76359ae363c55cbb0a3bfc7777955e8d3bf7f20b465f2","observation_id":"1c6eda35-0ed9-472e-ab80-abdbd1afdebd","resolution":{"observed_at":"2026-08-04T03:21:35.519932Z","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":"2026-08-04T03:21:35.524390Z","title":"arXiv preprint arXiv:2503.23722 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.524390Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:5a4049b05ed23e5c1406a7e305a1d30f9441f82c01800dbceedee5798b6aed22","observation_id":"e2d50419-f7b0-4c49-8325-4e27c1941bc2","resolution":{"observed_at":"2026-08-04T03:21:35.524390Z","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":"2026-08-04T03:21:35.528338Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.528338Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:dddd9d32317cd68c84d56bc4f62b08909d680b54d8ee46274ad7ed5aacc095bf","observation_id":"a55f9618-6748-4a5f-b042-97d4e780b126","resolution":{"observed_at":"2026-08-04T03:21:35.528338Z","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":"2026-08-04T03:21:35.532120Z","title":"Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.532120Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:bed9ab7215634ce53446d5cb1cb7ecbb47e9743771b8ae767987259ba6e74072","observation_id":"f086b94d-d538-4532-9cb7-fca55a787720","resolution":{"observed_at":"2026-08-04T03:21:35.532120Z","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":"2026-08-04T03:21:35.535947Z","title":"Proceedings of the 26th ACM international conference on Multimedia , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.535947Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:d199abf85295499f0c920446b95765009aa864f2da9397c64702bb4ced1d8b09","observation_id":"2ce7538d-b076-486c-a664-794191eaee43","resolution":{"observed_at":"2026-08-04T03:21:35.535947Z","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":"2026-08-04T03:21:35.539718Z","title":"International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.539718Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:8f0ecda4d21db3a7f7b9c2d56f1fac066dfb3bb6081a4205cab8395ae011aa20","observation_id":"b8d8d657-d334-4a66-9e96-41367880d49b","resolution":{"observed_at":"2026-08-04T03:21:35.539718Z","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":"2026-08-04T03:21:35.543722Z","title":"International conference on machine learning , pages=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.543722Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:984e528e3cd8382392fe11592df944d51d9ecd169e2eaba0feada3276b8382ae","observation_id":"548324e1-f898-4956-80f3-7f2356f732b7","resolution":{"observed_at":"2026-08-04T03:21:35.543722Z","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":"2026-08-04T03:21:35.547724Z","title":"arXiv preprint arXiv:2501.12202 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.547724Z"},"links":{"cited_paper":"/paper/2501.12202","citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:56032043ba0bea2eae48a122fd3580e56e31d6ddc1f449499557e874b7abb848","observation_id":"c60b9813-bd04-400c-9717-24a8b138b430","resolution":{"observed_at":"2026-08-04T03:21:35.547724Z","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":"2026-08-04T03:21:35.551969Z","title":"Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.551969Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:1754e8e44b0d08228bb77442798da1655c15075cbdeecf726721062793186ace","observation_id":"7bd6e468-b6b1-4755-8cd5-62788e316ba4","resolution":{"observed_at":"2026-08-04T03:21:35.551969Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.09071","last_updated":"2025-08-13T16:47:50Z","snapshot_observed_at":"2026-08-07T16:52:12.636532Z","submitted_at":"2025-08-12T16:46:05Z","title":"GeoVLA: Empowering 3D Representations in Vision-Language-Action Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.09071","snapshot_observed_at":"2026-08-04T03:21:35.555813Z","title":"arXiv preprint arXiv:2508.09071 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.555813Z"},"links":{"cited_paper":"/paper/2508.09071","citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:efb473f1fd98be0e1e2d8862940124f58f1539bae4ca272680b73b1f703adb90","observation_id":"7dd3cd96-9da4-4c72-b559-74a2723c3c96","resolution":{"observed_at":"2026-08-04T03:21:35.555813Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.02274","last_updated":"2026-06-06T05:27:32Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-06-01T14:01:11Z","title":"Dexterity-BEV: Aligning 3D World and Actions for Generalizable Robot Policies Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.02274","snapshot_observed_at":"2026-08-04T03:21:35.560067Z","title":"arXiv preprint arXiv:2606.02274 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.560067Z"},"links":{"cited_paper":"/paper/2606.02274","citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:6f7e9b5a8b5db2fcacb15c3d27f485d40cebe185156921bb3457c7791077edd6","observation_id":"2c9a58da-dfb1-49ec-b0a5-02de951cf2cd","resolution":{"observed_at":"2026-08-04T03:21:35.560067Z","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":"2026-08-04T03:21:35.564241Z","title":"Proceedings of The 8th Conference on Robot Learning , pages =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.564241Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:7bbb8f9336d8a867fcf8a5b7535a7deaa45caadcb538e69bb73dd92797d5be7a","observation_id":"bc723149-c951-49db-90f5-09d5f0367d15","resolution":{"observed_at":"2026-08-04T03:21:35.564241Z","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":"2026-08-04T03:21:35.568558Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.568558Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:fba6d0d8bcb6e8e12e46fad38e41450b28d2ce55721fbacdbce28e0fb7a18cab","observation_id":"bc060c44-da20-4af6-b46e-13645a15aa76","resolution":{"observed_at":"2026-08-04T03:21:35.568558Z","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":"2026-08-04T03:21:35.572189Z","title":"2025 IEEE 19th International Conference on Automatic Face and Gesture Recognition (FG) , pages=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.572189Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:d7c6c8ef22a5777df82000d8a304bc65c9bd8663409e866d0b1a8a91900bb54d","observation_id":"8f76c6c2-5155-4d5b-a830-f868b1a78745","resolution":{"observed_at":"2026-08-04T03:21:35.572189Z","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":"2026-08-04T03:21:35.575909Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.575909Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:d6c13c559e2eac8114071f7dd35a64e30a1be38d48db586b73690a8894c2a6be","observation_id":"3fb69620-4d51-42a9-83b1-acbe76bbb60d","resolution":{"observed_at":"2026-08-04T03:21:35.575909Z","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":"2026-08-04T03:21:35.580083Z","title":"Proceedings of the 31st ACM international conference on multimedia , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-04T03:21:35.580083Z"},"links":{"citing_paper":"/paper/2608.02598"},"observation_digest":"sha256:16b5de4380e1aaef985279d13ec2452eaeeda239a14046a499f81d69f71d4cd7","observation_id":"118d8df7-7dfa-4ae6-a30f-c6eefbfa00a5","resolution":{"observed_at":"2026-08-04T03:21:35.580083Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.02598","last_updated":"2026-08-03T17:59:01Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T04:43:15.220686Z","submitted_at":"2026-08-03T17:59:01Z","title":"VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":42,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":42},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2608.02598."}