{"as_of":"2026-08-12T15:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e3728f8d4671e9fbc72acb1a1ed4893b3c193ce696554b7e7fdab48dd9d6bee8","coverage":[{"denominator":75,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":75,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:45:21.250569Z","state":"measured"},{"denominator":76,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":76,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T11:42:33.939226Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.17821","snapshot_observed_at":"2026-08-03T11:42:33.939226Z","title":"Icpl-reid: Identity- conditional prompt learning for multi-spectral object re-identification,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.29207","last_updated":"2026-07-31T09:27:10Z","snapshot_observed_at":"2026-08-11T12:09:02.521476Z","submitted_at":"2026-07-31T09:27:10Z","title":"Multi-Modal Object Re-Identification with Dual Semantic Guidance and Global-Local Mutual Modulation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-03T11:42:33.939226Z"},"links":{"cited_paper":"/paper/2505.17821","citing_paper":"/paper/2607.29207"},"observation_digest":"sha256:2448fbc92b3b0ed4316c49a2c5d4b68b5d2b8f035669fd422777598f56ab62c0","observation_id":"cd0c6c28-ee64-4063-9dc1-7420040aa958","resolution":{"observed_at":"2026-08-03T11:42:33.939226Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.17821/citation-record","integrity":"/paper/2505.17821/integrity","json":"/paper/2505.17821/citation-record.json","paper":"/paper/2505.17821"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:33.518907Z","title":"A survey of open-world person re- identification,","venue":null,"work_id":"2dfcefd6-01db-4e70-b7fa-604bd2b8a341","year":2020},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:14.357720Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:1918f655366054e2fb111f35588a3dcc4b3ef8acf29b741cd90439e72689b83c","observation_id":"bfba75da-ced0-4768-87d9-ea5b0ac1a5b0","resolution":{"observed_at":"2026-08-07T14:45:33.568224Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:33.176418Z","title":"Tran- sreid: Transformer-based object re-identification,","venue":null,"work_id":"72a6e31b-2079-4ffd-b897-fe148de482d1","year":2021},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:14.558936Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:fe66b07314894d711935918027e9bcf6307cbcbe9a3e9c36b633ce0f93d39129","observation_id":"b0576b5b-81b2-4b32-b8df-7b2c7ea56931","resolution":{"observed_at":"2026-08-07T14:45:33.266381Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:14.697734Z","title":"Scalable person re-identification: A benchmark,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:14.697734Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:36e76f4789e22e38affed7b812d955bda16f93a2542471643993ad84cc73ed1e","observation_id":"08a7b5f3-94e0-47c2-800a-f87d7bbe805e","resolution":{"observed_at":"2026-08-07T14:45:14.697734Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:32.854801Z","title":"Bag of tricks and a strong baseline for deep person re-identification,","venue":null,"work_id":"5605e22d-15b4-40a3-b2e6-c29a30eae14c","year":2019},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:14.820085Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:d6a232ee03b3f4ad9fa60614797fec2031d0ec875c9c11fee52a8087dab58a3c","observation_id":"d3cc63fe-c077-4b10-b504-c70cc29f32f9","resolution":{"observed_at":"2026-08-07T14:45:32.972309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:32.614379Z","title":"Omni-scale feature learning for person re-identification,","venue":null,"work_id":"6a82b9f5-1ac3-49b7-ac2b-f5a1d18d7fc1","year":2019},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:14.936228Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:c9fa2e4cfab73e7aada30314eb5bd3f0d16df6b99a3a62dbcd6f8a18ee618100","observation_id":"25b25b7d-c52f-4a1e-9133-4ffaebbde47a","resolution":{"observed_at":"2026-08-07T14:45:32.725456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:32.309735Z","title":"Searching parameterized retrieval & verification loss for re-identification,","venue":null,"work_id":"0c8ea1c9-6790-4df8-acaf-4ea48cefdc89","year":2023},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:15.026504Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:8c5cf6db24301729ba65ed9fddd900cfe2a8506db5c754601fc9ab58ff3a1a2c","observation_id":"aa467d07-7557-4f50-a532-835adf05b2a0","resolution":{"observed_at":"2026-08-07T14:45:32.461413Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:32.068631Z","title":"Duality-gated mutual condition network for RGBT tracking,","venue":null,"work_id":"06e10a21-bde1-4bfe-93c1-31cc2a3e0e7b","year":2025},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:15.122446Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:f1941825f58f56b5c83f923fbea4e2749d0cc55e6af31f18d09bdc31035f7288","observation_id":"f8833a7e-6e48-49ad-85f5-6cd971ce0945","resolution":{"observed_at":"2026-08-07T14:45:32.150779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:31.951109Z","title":"RGBT tracking via multi- adapter network with hierarchical divergence loss,","venue":null,"work_id":"c1a285a8-12a7-4e2c-89a3-0fd9af7e82c8","year":2021},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:15.252490Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:01485cb8a62a879a467fa79dbecdd7a5c6320637a14070449038f4260140322f","observation_id":"4c384a91-e8d7-4db3-aae4-fa12302e3d3b","resolution":{"observed_at":"2026-08-07T14:45:32.053677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:31.697861Z","title":"Multi-spectral vehicle re-identification: A challenge,","venue":null,"work_id":"d4a05173-d0f3-4f92-8521-c79b90d07133","year":2020},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:15.312642Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:6b1ae04d14e75d7b305ef042f01f5a7990937b22f0750ff657d6716b47c73a79","observation_id":"62cd69eb-5596-4a94-9c5a-8975c8af3f7a","resolution":{"observed_at":"2026-08-07T14:45:31.828052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:31.457763Z","title":"Robust multi-modality person re-identification,","venue":null,"work_id":"4f2a78cc-09a1-4f61-a014-ac6d1680e7cb","year":2021},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:15.432645Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:bb636a7a8daee4f12700be120a9780aba5de6f045412536d6eb2b85892381efc","observation_id":"0351544e-28c4-4ac3-98c4-7cd88166916e","resolution":{"observed_at":"2026-08-07T14:45:31.555575Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:31.241749Z","title":"Grayscale enhancement colorization network for visible-infrared person re- identification,","venue":null,"work_id":"11bb394f-f9e8-4b93-904f-c83f8c5c37e5","year":2022},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:15.559415Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:b73dad0dbf72c4006f9d02f9479a40ec59687353786a25142d5795f1a409e864","observation_id":"55971ee8-8913-4421-a3dd-a0cb2d0cf4de","resolution":{"observed_at":"2026-08-07T14:45:31.338982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:31.116858Z","title":"Modality-missing rgbt tracking: Invertible prompt learning and high-quality benchmarks,","venue":null,"work_id":"9c908ff0-7db4-4f1f-b9c8-fc93f2f3a254","year":2024},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:15.717069Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:8cb1d31a140c8c78f64786472a07466e11c92d976e24ac060eff9a7a52508ac5","observation_id":"5c0ce57b-b507-46f9-ac4e-9bd383d53e43","resolution":{"observed_at":"2026-08-07T14:45:31.183849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:30.995873Z","title":"Clip-reid: Exploiting vision-language model for image re-identification without concrete text labels,","venue":null,"work_id":"0350acd1-5055-4a1c-a226-e32b40df6794","year":2023},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:15.825367Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:60c59789b54e2851769390bda84e101ee04ad4a9dde10ef76e8bf6c3882f94e6","observation_id":"ae6bc0a0-3d2b-49a7-93ec-3fdf63891971","resolution":{"observed_at":"2026-08-07T14:45:31.045775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:30.818595Z","title":"Learning discriminative features with multiple granularities for person re-identification,","venue":null,"work_id":"b20a38bd-5cfd-4bc6-bba4-54cc0d0ecfd0","year":2018},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:15.929221Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:fea95fbce2f4529e94520bbdcc628f7c3da89dad91e2f386000d184dd2defb4e","observation_id":"fc413abe-f986-4ef3-8345-263cebecc15b","resolution":{"observed_at":"2026-08-07T14:45:30.923479Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:30.681571Z","title":"Beyond part models: Person retrieval with refined part pooling (and A strong convolutional baseline),","venue":null,"work_id":"68c2fba3-0eaa-4a2b-a67a-62280fe9ec60","year":2018},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:15.996313Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:adc79c0ce555c275f77cf22ed3238c8c0432c836c8c3273423e42755a3e49995","observation_id":"cc5b915f-85b5-48dc-b859-360d689ea427","resolution":{"observed_at":"2026-08-07T14:45:30.751770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:30.505255Z","title":"Il- lumination distillation framework for nighttime person re-identification and a new benchmark,","venue":null,"work_id":"d3ba2769-60de-4f5d-ae0a-65f1f6be192a","year":2024},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:16.052981Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:fc86f2b7e08cbfa6b092cd58590a62257d277da2f4ff38559dd1c1f3e2f27d7c","observation_id":"454cea6e-30d6-4463-9f70-b52d28ec0eaf","resolution":{"observed_at":"2026-08-07T14:45:30.577588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:30.378346Z","title":"Sjdl- vehicle: Semi-supervised joint defogging learning for foggy vehicle re-identification,","venue":null,"work_id":"d619b09b-b28c-4e81-ac56-d123e3f6e6b6","year":2022},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:16.159273Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:d0ce01f7bcecf3fabc39d9a1996e83231bb701d2cb849455d8dd45662abe7f87","observation_id":"c64d55f3-12e3-4e66-8f88-a31ad0a08133","resolution":{"observed_at":"2026-08-07T14:45:30.421432Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:30.172513Z","title":"Cross-directional consistency network with adaptive layer normalization for multi-spectral vehicle re-identification and a high-quality benchmark,","venue":null,"work_id":"7244622f-ae6d-4e7e-8897-519bcb586ebf","year":2023},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:16.259328Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:326fb6f275b6d2c7a56cf820504f7b3adc6ccc8127cf6d9ade5e3a1aa66b3f90","observation_id":"2aba166f-e11d-4c64-9b4e-de5e128492ab","resolution":{"observed_at":"2026-08-07T14:45:30.274820Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:30.013172Z","title":"Heterogeneous test-time training for multi-modal person re-identification,","venue":null,"work_id":"7b7170c1-a84a-4088-8e38-30cf93cd8236","year":2024},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:16.357564Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:1b8371190487b3b263e7b749fea33444aea010f7f29f9cd010e1afbd0e4ba907","observation_id":"9682435b-0c42-45b7-adb4-b2decb6752b5","resolution":{"observed_at":"2026-08-07T14:45:30.084802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:29.810941Z","title":"Top-reid: Multi- spectral object re-identification with token permutation,","venue":null,"work_id":"57365942-bee2-4e34-bdaf-90fe30b706e0","year":2024},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:16.473058Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:7988d83e4634628945f1168f02d3ef1b3165b8e28aaebb9df9cad60fe0adca06","observation_id":"6b17bbe0-714f-4765-b71f-bc3cc11012c8","resolution":{"observed_at":"2026-08-07T14:45:29.908438Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:29.643298Z","title":"Magic tokens: Select di- verse tokens for multi-modal object re-identification,","venue":null,"work_id":"98643f5c-5059-425c-83e6-c557c911abd9","year":2024},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:16.570041Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:21b575e2a446b41daaf0fbee88f00dd46de77424386639f6dac7d08cf992e186","observation_id":"16967862-6f40-4cb2-9dee-18fec59dc3cc","resolution":{"observed_at":"2026-08-07T14:45:29.727680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:29.491598Z","title":"Empowering visible-infrared person re- identification with large foundation models,","venue":null,"work_id":"4a3ad216-0662-4ee8-aa47-b23e995368ce","year":2024},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:16.670592Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:a3172c7f34b87aa8eb60180485e377728d4d02404139f2d06269d2408972d5b4","observation_id":"531e1573-5d9e-4eee-8379-f4e10c169bea","resolution":{"observed_at":"2026-08-07T14:45:29.556542Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:29.347928Z","title":"Multi- prompts learning with cross-modal alignment for attribute-based person re-identification,","venue":null,"work_id":"a73876a0-e384-46e9-8178-d3a07d056aba","year":2024},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:16.789103Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:e33a2da255657d3f2664c5d4ec93a738fc20f1502f11b1b0bad502f6c2ad2b7f","observation_id":"22482300-9e95-40d1-a44e-af5e81aa203d","resolution":{"observed_at":"2026-08-07T14:45:29.415600Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:29.165184Z","title":"Profd: Prompt-guided feature disentangling for occluded person re- identification,","venue":null,"work_id":"fc7233a0-140e-4cac-9813-369d85ed38ca","year":2024},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:16.872012Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:bcd3dd584775e01799b0fcd99ebd8ac68bb07f37cfced92bda58ee8fbf5bed82","observation_id":"409e0d11-ad7c-436f-b5d8-10e76b870720","resolution":{"observed_at":"2026-08-07T14:45:29.245477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:29.006621Z","title":"Region generation and assessment network for occluded person re- identification,","venue":null,"work_id":"29fb3daf-f0ca-471a-aef6-6fe9bef5d1f9","year":2024},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:16.971428Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:b97fee522ab72937fed6638c66b4d5de79a0e31b621fffe78c5c0b0e78d4ce46","observation_id":"abec6011-d2a3-42cf-bebb-341fb128c7d5","resolution":{"observed_at":"2026-08-07T14:45:29.061107Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:28.848663Z","title":"Beyond appearance: A semantic controllable self-supervised learning framework for human-centric visual tasks,","venue":null,"work_id":"e26ac28a-3d24-4629-a8de-cf7ab198a831","year":2023},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:17.044174Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:5117f97bb935f465d7250f76998c6d75715593b8cd1409722f20388ca368e9bd","observation_id":"86c2d0b2-d0aa-431b-8b56-da2c5dc77eaf","resolution":{"observed_at":"2026-08-07T14:45:28.951594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:28.740694Z","title":"Pose-guided feature dis- entangling for occluded person re-identification based on transformer,","venue":null,"work_id":"fa436c9d-f504-48ed-90e5-63ea7d32cc89","year":2022},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:17.116330Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:c38daa40d3dc42dab052e7df1ba1b61c1a3d9c2ebb60bf3dc46a021d0d6c99a3","observation_id":"75d80db8-ba97-45bf-9200-70a9430c6ab7","resolution":{"observed_at":"2026-08-07T14:45:28.780410Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:28.596532Z","title":"Keypoint-guided modality-invariant discriminative learning for visible-infrared person re- identification,","venue":null,"work_id":"1358de4b-d5f3-4fd2-875e-e86369153aad","year":2022},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:17.221768Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:9695243c26d15de006e1e44fa30ac536e1da7a4bb7474988b61886ef62cf9d30","observation_id":"19a8523d-68af-4dde-9f09-d3620164fbaf","resolution":{"observed_at":"2026-08-07T14:45:28.677293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:17.300530Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:17.300530Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:7969f9d861fb6d11f8957a1fea7d430a311d24fb9d02cb9af0e8e7e367fb41d1","observation_id":"aee19ab8-3971-4180-831e-9af5c9d7cb44","resolution":{"observed_at":"2026-08-07T14:45:17.300530Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:28.446274Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale,","venue":null,"work_id":"af0d002e-f448-40d9-bb24-8a759a40daa6","year":2021},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:17.407849Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:afacc572ac7c392686bc640116fa1c1a007dbc360f6a30a11c10bf7be2cee5da","observation_id":"4b24d3f3-71e7-4aa9-844f-23b9c937cd9c","resolution":{"observed_at":"2026-08-07T14:45:28.492350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:28.302631Z","title":"A convnet for the 2020s,","venue":null,"work_id":"f5787398-f0e3-4c43-ac11-9096abcfaac7","year":2022},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:17.488974Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:7e1bb1d437c06dd85998ac82b222129d5ea16efe2f68b34e83372908d31fd2e9","observation_id":"0d5828c6-1845-48ba-a41b-1787cd272ba2","resolution":{"observed_at":"2026-08-07T14:45:28.369686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:28.149487Z","title":"Learning transferable visual models from natural language supervision,","venue":null,"work_id":"267bf18d-b8e4-4af3-a0b3-91b4674eaf05","year":2021},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:17.592245Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:3ebee94b06e690ac13ab4eb9fa3a1259e5c39b6752271461f5ba6a3775805923","observation_id":"9c6195a2-3575-4b58-a48f-fcb75ed9a80d","resolution":{"observed_at":"2026-08-07T14:45:28.241774Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:17.671809Z","title":"Learning to prompt for vision- language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:17.671809Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:5e630ad565da590afefb52015470d9f31571f3b7fe2d9adf05c5f0a79c551edc","observation_id":"c70dd836-99b7-409b-81ac-d823776ca789","resolution":{"observed_at":"2026-08-07T14:45:17.671809Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:27.980925Z","title":"Conditional prompt learning for vision-language models,","venue":null,"work_id":"5d4f7666-d978-497c-a7aa-495230a736dc","year":2022},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:17.776455Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:c67583c20a3313c232a8c662c626905ac23aa65f447b6eab6b50b91200119afb","observation_id":"e046857f-335a-4841-86da-ffe0121a967c","resolution":{"observed_at":"2026-08-07T14:45:28.053230Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:27.800649Z","title":"Unveiling the power of CLIP in unsupervised visible-infrared person re-identification,","venue":null,"work_id":"4224f960-b85d-4ca0-a7df-c0a06ba4981c","year":2023},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:17.863287Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:c3ddbe16ecebf86b1b6047939e3a80d43e2fececd6becf0d165240af979e0590","observation_id":"ac56bdb0-8ccb-4746-bdbf-842ae0072592","resolution":{"observed_at":"2026-08-07T14:45:27.891800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1710.06924","last_updated":"2017-11-29T04:04:18Z","snapshot_observed_at":"2026-08-07T12:49:34.214845Z","submitted_at":"2017-10-18T20:20:49Z","title":"VisDA: The Visual Domain Adaptation Challenge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.06924","snapshot_observed_at":"2026-08-07T14:45:17.967853Z","title":"Visda: The visual domain adaptation challenge,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:17.967853Z"},"links":{"cited_paper":"/paper/1710.06924","citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:2d3824494a7c9f0ab3d43289a6df2225d458158333a2e69251d60d07e8c745b8","observation_id":"133a9e80-2148-4294-91b5-ac745352bf08","resolution":{"observed_at":"2026-08-07T14:45:17.967853Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:27.625866Z","title":"Align your prompts: Test-time prompting with distribution alignment for zero-shot generalization,","venue":null,"work_id":"0d862891-823d-4cfc-921f-e011539bada5","year":2023},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:18.068441Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:3d15929814dec6cc532ac6ba87d503d5c0ae5b1afdd1b5f8bfabb065db3fdc61","observation_id":"d90e0dda-35f7-4710-ad98-62bcfea61f32","resolution":{"observed_at":"2026-08-07T14:45:27.731781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:27.455234Z","title":"Deep domain adaptation based multi-spectral salient object detection,","venue":null,"work_id":"1e7b4797-9f9b-4307-a7b8-0e2e14d8167f","year":2022},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:18.171799Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:3d1a1bec1c6cd7e0b0bfc06b58de8206841ae477b2445b7bb72af7923e9432ba","observation_id":"2bb5d22e-8ed7-4acc-94de-65ee4eca85ac","resolution":{"observed_at":"2026-08-07T14:45:27.539778Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:27.302780Z","title":"Incomplete multi- view clustering via prototype-based imputation,","venue":null,"work_id":"53699d80-6b24-4263-b212-0df6fce3ac88","year":2023},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:18.295068Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:744982a331c595feab19abb31558ea62c98b1dba09af3181a83ad842766407b9","observation_id":"57aa02ee-3858-41ce-81a4-96a50633db37","resolution":{"observed_at":"2026-08-07T14:45:27.362664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:27.133943Z","title":"What makes training multi- modal classification networks hard?","venue":null,"work_id":"973997bb-36d6-4487-8860-e46457eae690","year":2020},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:18.391398Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:360bee788b8cbe9aacba808c5152a997c2db258317abf0491b09635da845c874","observation_id":"04e2a250-5732-4810-b2d3-c4fff87327f1","resolution":{"observed_at":"2026-08-07T14:45:27.219862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:26.982342Z","title":"Balanced multimodal learning via on-the-fly gradient modulation,","venue":null,"work_id":"d65a02a1-f908-4212-b6ea-bb0cbbc9a491","year":2022},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:18.476367Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:d4597201dec0d519efb6734ee94cad5958dd98347f3a1f8822a37e53df71e2c6","observation_id":"aaa671b2-eab8-4df4-bb86-d933d3c8782e","resolution":{"observed_at":"2026-08-07T14:45:27.049577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:26.843349Z","title":"Adaptive transfer network for cross-domain person re-identification,","venue":null,"work_id":"da41842a-acff-4105-955f-73fb5374db4d","year":2019},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:18.564930Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:740306975eecd29a0c9c91048425b202c9df4e290126de898a167d1d1f717f7b","observation_id":"f7eb76b7-be6c-4c2f-a641-6890b2d4c2fa","resolution":{"observed_at":"2026-08-07T14:45:26.903443Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:26.689944Z","title":"Camera topology graph guided vehicle re-identification,","venue":null,"work_id":"4203afb2-9f12-473f-bbbb-b1fec69eb0df","year":2024},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:18.665546Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:6d2f42182695acf2e9b53d87ccd4c273c026d709cee5c729fefcef6bfd397e5d","observation_id":"a4b9b966-e082-412f-8c9c-9bd02a810248","resolution":{"observed_at":"2026-08-07T14:45:26.760063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:26.522647Z","title":"Rgb-infrared cross- modality person re-identification,","venue":null,"work_id":"2d28e8e0-fcb0-475a-bf9a-9e9187e86ae6","year":2017},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:18.770892Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:32304fbbb9206742e82f524aa8dbee886319e96ad22e9776c90cb4156ed366f4","observation_id":"2b541863-30e0-476a-90e2-6a67e68a8fc0","resolution":{"observed_at":"2026-08-07T14:45:26.581473Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:26.401797Z","title":"Progressive attribute embedding for accurate cross-modality person re-id,","venue":null,"work_id":"15811256-3606-47f1-b716-e232d6f6eef5","year":2022},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:18.860326Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:b1edd736636e2686d31af057e48bdad244ac81b204f9375c306dc4a08f067813","observation_id":"41ce01a3-a451-4316-82e4-0176e1dacd6e","resolution":{"observed_at":"2026-08-07T14:45:26.462278Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:26.268726Z","title":"Cross-modality transformer with modality mining for visible-infrared person re-identification,","venue":null,"work_id":"7141021f-9658-4588-9483-75d669532ca9","year":2023},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:18.952580Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:0383ad4c549e04618da23f7437f3e8230d6ac482a584a1c885bfce207eda3bd0","observation_id":"caadf08b-38f2-4b5e-a5bd-ae86ee10ea81","resolution":{"observed_at":"2026-08-07T14:45:26.325923Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:26.096458Z","title":"Modality-adaptive mixup and invariant decomposition for rgb-infrared person re-identification,","venue":null,"work_id":"0bf77903-07ed-40f4-8529-32eda7eef597","year":2022},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:19.025401Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:1deb6f767e2d00d1b44593a016f5ec7eeb302bff908bdb7684487d2eaa93164f","observation_id":"d9537c3c-d7a3-402a-91ab-6aae5a682741","resolution":{"observed_at":"2026-08-07T14:45:26.153377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:25.919773Z","title":"Deep adversarial graph attention convolution network for text-based person search,","venue":null,"work_id":"a7c71703-e7ff-4d53-a5b5-9e32919f12de","year":2019},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:19.075843Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:49b947abb17a60e4ad1e7c996e420a20dfbf67baaa77ce64131138f580de4846","observation_id":"c9ad2736-5b9b-4ab7-a2c3-8caa9e35815e","resolution":{"observed_at":"2026-08-07T14:45:26.000402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:25.736227Z","title":"Modality-aware style adaptation for rgb-infrared person re-identification,","venue":null,"work_id":"b703567f-575b-4b78-a5f5-058fa4350267","year":2021},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:19.142767Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:cb476ee72c2d51bf5fdfca0bb2d353ee59c09e942c1775aa39e454c8ef760e9f","observation_id":"46e9d681-e393-49c4-8df0-8c28acb3ec2f","resolution":{"observed_at":"2026-08-07T14:45:25.821180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:25.616232Z","title":"Visible- infrared person re-identification via cross-modality interaction trans- former,","venue":null,"work_id":"df111107-e108-466d-8a80-166b740d18b0","year":2023},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:19.220206Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:5dd3b63df37ea7899c6171d53c4a74b3f87b216dd2cfe00086d320487b322e2a","observation_id":"b1d17777-6f59-4c99-95d0-f0245ddf17b8","resolution":{"observed_at":"2026-08-07T14:45:25.657976Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:19.286199Z","title":"Diverse embedding expansion network and low-light cross-modality benchmark for visible-infrared person re- identification,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:19.286199Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:f4d487180aa828c8dde956f276388e6af655eba6e0e79f7da05a6fac026c3b78","observation_id":"9c6e616a-21dc-4582-8c91-66e1705f1fb1","resolution":{"observed_at":"2026-08-07T14:45:19.286199Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:25.425081Z","title":"A multi-constraint similarity learning with adaptive weighting for visible-thermal person re-identification,","venue":null,"work_id":"b767ae85-dd20-497d-834c-423b786b53fa","year":2021},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:19.334554Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:250d7941ced7befc79198121d2dbe191742808134f042154b26381ad8076ee47","observation_id":"32fad1ce-d0e5-4d4d-b921-5d9274800a82","resolution":{"observed_at":"2026-08-07T14:45:25.503443Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:25.281904Z","title":"Interact, embed, and enlarge: Boosting modality-specific representations for multi-modal person re-identification,","venue":null,"work_id":"4aa54fa0-fa90-412b-8fb4-cee058da745b","year":2022},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:19.418462Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:a2f8efb5f6bb8fad17ac83ad18e41874c6b00bc7cd3df693bf34e68118c6fe1a","observation_id":"2e23209d-81d3-440f-84b8-e843828a3a28","resolution":{"observed_at":"2026-08-07T14:45:25.346217Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:25.095350Z","title":"BLIP: bootstrapping language-image pre-training for unified vision-language understanding and generation,","venue":null,"work_id":"dbab24b1-a52a-4c31-985a-45e6311d13b6","year":2022},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:19.472760Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:24b512a4f2144415e41f22876c51b66d040d7b70166887e08287e9b2a1366b58","observation_id":"ae743fdd-b5b1-4ad9-8748-caa7dfd92fbb","resolution":{"observed_at":"2026-08-07T14:45:25.201964Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:24.917897Z","title":"Visual prompt tuning,","venue":null,"work_id":"d73cc537-bf8a-40a2-ae99-8e58f63b4a8f","year":2022},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:19.537042Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:2410f42b146e150dacb05ca95d028db11a54ccffd4a544ac105206f70b2d1a11","observation_id":"5b083bb1-01c5-4318-b36d-e511522ac0e9","resolution":{"observed_at":"2026-08-07T14:45:24.996632Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:24.715948Z","title":"Adapt- former: Adapting vision transformers for scalable visual recognition,","venue":null,"work_id":"77aa1ee3-66f6-47f0-b036-2b7b89012e97","year":2022},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:19.631999Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:7294b8ece6851093b58402245ffdb4d433e05007eb457b8f37cfc9fd6c174139","observation_id":"dd4a5e0a-0b4e-4844-9112-6eb64f39efd6","resolution":{"observed_at":"2026-08-07T14:45:24.819983Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:24.544401Z","title":"Multi-scale deep learning architectures for person re-identification,","venue":null,"work_id":"f2c5547e-30ec-4a62-94c7-094a726ff90e","year":2017},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:19.735347Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:9c2abeaab2936d48060e4af1aaac6daa3607c8658adaaa85d4e276e4052c3ae7","observation_id":"7d2596c5-8fbc-4765-9c7d-5c8c8d73d00d","resolution":{"observed_at":"2026-08-07T14:45:24.618366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:24.373429Z","title":"Multi-level factorisation net for person re-identification,","venue":null,"work_id":"becc4b07-c328-4801-bd4d-61c0fbf883b8","year":2018},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:19.803370Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:575cada2e20b018c30124ac90fe9b451dd6cf8f591d2bfda27e690ad1d308ccc","observation_id":"149e77bd-7802-4dab-85fc-ac06bf40a1a0","resolution":{"observed_at":"2026-08-07T14:45:24.448304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:24.147545Z","title":"Harmonious attention network for person re-identification,","venue":null,"work_id":"f13b702f-8786-4b0a-af32-646852f91d63","year":2018},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:19.884828Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:806c08a3b993f7a655ff6fd753707cd78fe22a51a1bf82178a56bbe92eaaca5f","observation_id":"86bcf3a4-1394-446f-852a-489590327075","resolution":{"observed_at":"2026-08-07T14:45:24.248543Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:23.868119Z","title":"Counterfactual attention learning for fine-grained visual categorization and re-identification,","venue":null,"work_id":"d6e0fae6-08ae-4112-91cc-436b2217572b","year":2021},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:19.981863Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:f1d5fb307d7d32fb81368925723b0020d5d5e420f1b317906c0c8d82e5d9e4ea","observation_id":"c6a85740-f449-472c-a646-4146bb3630d3","resolution":{"observed_at":"2026-08-07T14:45:24.023492Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.18812","last_updated":"2023-10-28T20:30:59Z","snapshot_observed_at":"2026-08-10T03:50:16.991036Z","submitted_at":"2023-10-28T20:30:59Z","title":"UniCat: Crafting a Stronger Fusion Baseline for Multimodal Re-Identification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.18812","snapshot_observed_at":"2026-08-07T14:45:20.080617Z","title":"Unicat: Crafting a stronger fusion baseline for multimodal re-identification,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:20.080617Z"},"links":{"cited_paper":"/paper/2310.18812","citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:1727dd8d0e0e9e85ce733ae93815ae1f6bae27d797d870937cf511ce857220df","observation_id":"64cb3359-758c-4e40-b0b1-9a294d01eef2","resolution":{"observed_at":"2026-08-07T14:45:20.080617Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:23.590540Z","title":"Deep meta metric learning,","venue":null,"work_id":"3a329446-0138-461e-b4ca-054cffbc630d","year":2019},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:20.164296Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:ef3a4bf4508228feeec81d064710037c6d03e687682e5ef8824a67ec10c5bd83","observation_id":"f7105e52-71bd-4097-9a43-035ac7a493ac","resolution":{"observed_at":"2026-08-07T14:45:23.717876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:23.337472Z","title":"Circle loss: A unified perspective of pair similarity optimization,","venue":null,"work_id":"78002de9-3dff-47f9-b0b8-0492ae3258b3","year":2020},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:20.278024Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:e7f07a47196214f2eadbe500f0d5532ca2a8f9235ce6de7c58504014a573b378","observation_id":"4f4c6dfe-e501-4451-b35a-4448e0393a0d","resolution":{"observed_at":"2026-08-07T14:45:23.460915Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:20.357005Z","title":"Heterogeneous rela- tional complement for vehicle re-identification,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:20.357005Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:3a1fb4afed8e2567fd54f4f5be93707c0cdc13a147383799bd0e41a81578b81f","observation_id":"8e10ae12-df82-46ab-bdd2-7c7e2afd2657","resolution":{"observed_at":"2026-08-07T14:45:20.357005Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:33.348776Z","title":"Deep learning for person re-identification: A survey and outlook,","venue":null,"work_id":"899c5173-4e04-4311-83a8-95c502ed9d0d","year":2022},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:20.428608Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:4ec0737bbebefbdeb4f283f9acc4b2099090aafe5d07ac3d1cc334ad39db0f1c","observation_id":"ccfc89a8-feaf-43d1-9f64-5eba21faa011","resolution":{"observed_at":"2026-08-07T14:45:33.440102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:23.105535Z","title":"Feature erasing and diffusion network for occluded person re-identification,","venue":null,"work_id":"68d7ee0e-0bf6-42c9-824d-2833f3a5c158","year":2022},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:20.511826Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:d51c26fbbf71bc661be8e2b5ac7b19804d7852fba80ffad5d765064cd2e119bb","observation_id":"c2da53fb-631d-4bec-80ba-c08e39b0cc31","resolution":{"observed_at":"2026-08-07T14:45:23.223882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:22.798632Z","title":"Abd-net: Attentive but diverse person re-identification,","venue":null,"work_id":"aba9e6e2-7a80-4658-a288-6c589211465b","year":2019},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:20.606054Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:c34a4fb298b921fd3ebbcf0975f99b4015348ee49cb17a17e662e567a3ffb7dd","observation_id":"147e49c4-cb0a-4b96-912b-82b01c48732b","resolution":{"observed_at":"2026-08-07T14:45:22.972254Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:22.581519Z","title":"Closing the domain gap for cross-modal visible-infrared vehicle re-identification,","venue":null,"work_id":"9f12ff3e-e483-4203-8f34-9350a171a847","year":2022},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:20.705594Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:cd320035794c3fd2b8717ba9711568aa3925f3aff7931f46e5476848c1e710a5","observation_id":"e36a9d6b-dd00-4892-8e43-031e22eff926","resolution":{"observed_at":"2026-08-07T14:45:22.671479Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:22.307814Z","title":"Generative and attentive fusion for multi-spectral vehicle re-identification,","venue":null,"work_id":"03b57e3c-22fa-427a-8e37-af55cc0e629f","year":2022},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:20.790755Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:fe536fba465ab9ea4402b3c8162e82e9880199a394b29d5068297316595f85f8","observation_id":"8bff7624-6dfa-4639-bbff-3c09a486faab","resolution":{"observed_at":"2026-08-07T14:45:22.469913Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.16856","last_updated":"2023-10-25T00:15:40Z","snapshot_observed_at":"2026-08-10T13:34:19.930988Z","submitted_at":"2023-10-25T00:15:40Z","title":"GraFT: Gradual Fusion Transformer for Multimodal Re-Identification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.16856","snapshot_observed_at":"2026-08-07T14:45:20.869947Z","title":"Graft: Gradual fusion transformer for multimodal re-identification,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:20.869947Z"},"links":{"cited_paper":"/paper/2310.16856","citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:1cb2d2f59a14e478a1f0589df21586dfb24a1cda6375a41628734a755a9e0c38","observation_id":"71a039f5-7610-4e02-8163-2b311cd5af7b","resolution":{"observed_at":"2026-08-07T14:45:20.869947Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:22.106817Z","title":"Graph-based progressive fusion network for multi-modality vehicle re-identification,","venue":null,"work_id":"dea285b8-eb03-46e0-b13e-2e48e145e9cb","year":2023},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:20.982069Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:aa6e4682256bab618bb58a490de6da63361f6e7c5c6fc945374d268d99830358","observation_id":"a0e4f607-141f-4b73-9006-6ee94cfe36be","resolution":{"observed_at":"2026-08-07T14:45:22.198914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:21.925114Z","title":"Progressively hybrid transformer for multi-modal vehicle re-identification,","venue":null,"work_id":"5e9f30d0-b042-4683-95cb-2705eb1f8161","year":2023},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:21.064866Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:598c47e1e095ee6ea82e3da7d81a79f46c68d6d9dfc71c22c2d3300ba6b62d71","observation_id":"16f6285b-75ea-4ab5-9a78-998a73c4d653","resolution":{"observed_at":"2026-08-07T14:45:22.006293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:21.724860Z","title":"Random erasing data augmentation,","venue":null,"work_id":"cd2f6532-0bae-4422-80a9-d7b437177432","year":2020},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:21.109908Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:ec07f85314a8289bc4efd75f79a53969f050b7f02ed0f7e009b90d595ebdc819","observation_id":"0ac29459-32d5-4c18-8957-d22ca5ee0e76","resolution":{"observed_at":"2026-08-07T14:45:21.804757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:21.578769Z","title":"Grad-cam: Visual explanations from deep networks via gradient-based localization,","venue":null,"work_id":"b9bdeec7-04ea-4459-a96d-6bdb0610aa51","year":2017},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:21.182080Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:1c19ff46acf07fd425c4a37e5a555beba70c31a54720f5d667fc03b8805f849a","observation_id":"b7ad5b27-caf9-4cc1-9beb-163d45b9ad02","resolution":{"observed_at":"2026-08-07T14:45:21.661340Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:45:21.429544Z","title":"Visualizing data using t-sne,","venue":null,"work_id":"1fdf545d-18ad-450b-80d1-35bad26502b9","year":2008},"citing_paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:21.250569Z"},"links":{"citing_paper":"/paper/2505.17821"},"observation_digest":"sha256:85469b4557b7081b4df569686e8f065d9b4c5cd783c9be8a59e661fbf6b93ed8","observation_id":"ad1e081c-da35-40d8-b46f-cf9e7e3c687e","resolution":{"observed_at":"2026-08-07T14:45:21.484559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.17821","last_updated":"2025-05-23T12:38:27Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T00:31:46.795235Z","submitted_at":"2025-05-23T12:38:27Z","title":"ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification"},"reference_resolution":{"displayed":75,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":8,"verified_exact":0,"verified_fuzzy":67},"total_outbound_references":75},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 1 inbound Pith citation observation for arXiv:2505.17821."}