{"as_of":"2026-08-18T17:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:348c528ed227aa7852356eb8293ab95d0379410a21b3b10b98fd21452891e825","coverage":[{"denominator":76,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":76,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T21:01:45.366422Z","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":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.11182/citation-record","integrity":"/paper/2505.11182/integrity","json":"/paper/2505.11182/citation-record.json","paper":"/paper/2505.11182"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"physics/0608255","last_updated":"2006-08-30T09:49:23Z","snapshot_observed_at":"2026-08-15T11:05:12.632381Z","submitted_at":"2006-08-25T16:46:12Z","title":"Maximizing Modularity is hard","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"physics/0608255","snapshot_observed_at":"2026-08-15T21:01:45.019760Z","title":"Maximizing modularity is hard.arXiv preprint physics/0608255, 2006","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.019760Z"},"links":{"cited_paper":"/paper/physics/0608255","citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:5501f1c264cb11bce7280a7c086f7106b73e3401c2198bd026dafc774f24b9e2","observation_id":"86c8a39c-c9a8-4a72-a2f3-e2dffedaa35c","resolution":{"observed_at":"2026-08-15T21:01:45.019760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:01:45.025712Z","title":"Unsupervised learning of visual features by contrasting cluster assignments.Ad- vances in neural information processing systems, 33:9912– 9924, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.025712Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:58871c1da82b3983e3de0e2af2ff5c00b7911dda17480c7a4887d91258a4d69f","observation_id":"ef2e2172-e2bc-4384-9490-fe9f7b88e544","resolution":{"observed_at":"2026-08-15T21:01:45.025712Z","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":"2026-08-15T21:01:46.592812Z","title":"Incomplete con- trastive multi-view clustering with high-confidence guiding","venue":null,"work_id":"f7fe136a-b703-4fb4-8e8b-a8b816179ad7","year":2024},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.030506Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:66448a948c49e4dd63c63797316c66c6c19302c0b09bd592e9add09781ae467c","observation_id":"f4851247-7d9c-40b0-b06c-6975af0ead0f","resolution":{"observed_at":"2026-08-15T21:01:46.597475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.035387Z","title":"A simple framework for contrastive learning of visual representations","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.035387Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:ea6d67d2559c3f67fc0d299c7911230682489817d2007b82b6dd51a915d3c445","observation_id":"f5d13083-848c-45e0-bf26-1d958db2d343","resolution":{"observed_at":"2026-08-15T21:01:45.035387Z","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":"2026-08-15T21:01:46.568811Z","title":"A novel ap- proach for effective multi-view clustering with information- theoretic perspective.Advances in Neural Information Pro- cessing Systems, 36, 2024","venue":null,"work_id":"4f7342a3-aa61-4666-96d1-dac5a37a9fa5","year":2024},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.040202Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:bcedfce34651a42411c9fa9fab58de49f8c01a3e0646e7e759307ed6d9fc83a3","observation_id":"45e5f412-4fe9-4622-9e63-c9bc2e5a62f9","resolution":{"observed_at":"2026-08-15T21:01:46.573704Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:46.553866Z","title":"Subgraph propagation and con- trastive calibration for incomplete multiview data clustering","venue":null,"work_id":"8ba703e4-6bc9-4188-a7e6-0df2514b402a","year":2024},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.045181Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:df97bf811725fa27b6b7c3a0cf01e3d6e3cd467346fca2a373399082482253f7","observation_id":"de9d092e-f05d-4135-a572-9ddde8a50fd3","resolution":{"observed_at":"2026-08-15T21:01:46.558679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:46.539344Z","title":"Deep multiple auto-encoder-based multi-view clus- tering.Data Science and Engineering, 6(3):323–338, 2021","venue":null,"work_id":"5d9ff537-018c-4265-b6bf-fa6b73cb7cc3","year":2021},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.050728Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:3216bb6062b271ae4ab71b9ed62d667704378ec91f7e5b8dd6e7511c4a07d752","observation_id":"6329ff2e-341d-432c-bf13-e154d27d769d","resolution":{"observed_at":"2026-08-15T21:01:46.543431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:46.524796Z","title":"A comprehensive survey on multi-view clustering.IEEE Transactions on Knowledge and Data En- gineering, 35(12):12350–12368, 2023","venue":null,"work_id":"777c19b7-076d-4bb5-80bd-02eda2a73238","year":2023},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.055297Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:fe45dc9bd62f2811c4515584c78fdac46e633b6bafb3a6ecdbb73b4fb7f09ed4","observation_id":"719b568f-90a0-4199-b3ed-abe0c0e42f43","resolution":{"observed_at":"2026-08-15T21:01:46.529538Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:46.510109Z","title":"Partial multi-view clustering via self-supervised network","venue":null,"work_id":"2303cd6c-4731-4490-b625-cdb27bc6f952","year":2024},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.060009Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:94bd0709bde6460beab14856b3009f63139442e91c23af23b07569cd116878e3","observation_id":"ffff2de1-20db-4003-a958-07eda7abe3c8","resolution":{"observed_at":"2026-08-15T21:01:46.515110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:46.495171Z","title":"Robust contrastive multi-view clustering against dual noisy correspondence.Advances in Neural Information Pro- cessing Systems, 37:121401–121421, 2024","venue":null,"work_id":"dba08d06-896f-4e89-a932-d15ff23aa1e4","year":2024},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.064996Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:c35937b258b920f8bde6e7badca6bd31d7821327663ff878ddf7ba187036f994","observation_id":"b3396150-ea6b-4e14-bc8f-c6c5ada1b86e","resolution":{"observed_at":"2026-08-15T21:01:46.500135Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:46.480963Z","title":"Robust variational contrastive learning for partially view- unaligned clustering","venue":null,"work_id":"de9579f9-4570-4b8c-935e-0e64e533a73a","year":null},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.069638Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:d9f76818da3526f590df16215823a98698b0cb181185f7d04e20c1ba0ca71ea5","observation_id":"46a8347f-d90f-4eb5-b908-63e6672d4ea2","resolution":{"observed_at":"2026-08-15T21:01:46.486150Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.074515Z","title":"Momentum contrast for unsupervised visual rep- resentation learning","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.074515Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:2afba6015b657e08b267b766ab83190ae9ef2769b54ea06474be811ff6f12ab3","observation_id":"ebd64166-db44-4870-88c7-a9dbdbe090bc","resolution":{"observed_at":"2026-08-15T21:01:45.074515Z","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":"2026-08-15T21:01:46.456872Z","title":"Sharable and in- dividual multi-view metric learning.IEEE transactions on pattern analysis and machine intelligence, 40(9):2281–2288,","venue":null,"work_id":"e039874e-2ff4-4cd6-b9d6-d72a46918407","year":null},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.079065Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:2a085e136d9cf7c96eb4a15717ced249511464017258a3d759761c9e26f9f413","observation_id":"92f36d57-30d8-4474-9a64-210df0c84b57","resolution":{"observed_at":"2026-08-15T21:01:46.461629Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:46.442370Z","title":"Deep supervised multi-view learning with graph priors.IEEE Transactions on Image Pro- cessing, 33:123–133, 2023","venue":null,"work_id":"5323ed78-7034-45df-a98d-120b8c3b62ea","year":2023},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.084139Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:16670ceb6c51eac63f0bfc6e5404d2c9358d2c8ae4a14123b4271f51b35ced23","observation_id":"ca152277-1dde-4bac-8848-8301485cfef0","resolution":{"observed_at":"2026-08-15T21:01:46.446922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:46.426567Z","title":"Fast multi-view clustering via ensembles: Towards scalability, su- periority, and simplicity.IEEE Transactions on Knowledge and Data Engineering, 35(11):11388–11402, 2023","venue":null,"work_id":"76c5d425-6708-4c55-9860-041a7a169ee3","year":2023},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.088575Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:334b57c7182df64b58e05dd09533f6124935688e2195ef0eb3d965ddbe7d4317","observation_id":"74c29cb2-595f-483e-ba35-42260aeda725","resolution":{"observed_at":"2026-08-15T21:01:46.431849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:46.411108Z","title":"Deep se- mantic clustering by partition confidence maximisation","venue":null,"work_id":"eca88f64-d95d-4211-a093-6a2bb552cd69","year":2020},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.093246Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:2665878bd0b059f3ad956e2ee8dcad8dadda7b9c8efba7c60a4f996563ad1dd3","observation_id":"d1a18c22-cf45-43e2-b3a0-9b8132c6133d","resolution":{"observed_at":"2026-08-15T21:01:46.416181Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:46.395490Z","title":"Multi-view spec- tral clustering network","venue":null,"work_id":"e18e9f08-817d-4c19-b3d0-fbb78faf504f","year":2019},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.097792Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:fb2ccf2e31dea0f24278dbbae175a16c5047d9d9b0756f91bf31df4d9d4cc1b0","observation_id":"6ef1b274-54dd-4040-99fe-c6f774389a90","resolution":{"observed_at":"2026-08-15T21:01:46.400399Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:46.380187Z","title":"Partially view-aligned clustering.Advances in Neural Information Processing Systems, 33:2892–2902,","venue":null,"work_id":"e900855c-7d03-424b-90b8-482a87fa20ae","year":null},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.102061Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:dc3fa16d99d75244903703364fb88f81c3b1d7f4517df7f498dd965c29856082","observation_id":"d0c8a5c0-abe5-45c2-a39e-410ae192d7d8","resolution":{"observed_at":"2026-08-15T21:01:46.385241Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:46.364131Z","title":"A decoder-free variational deep embedding for unsu- pervised clustering.IEEE Transactions on Neural Networks and Learning Systems, 33(10):5681–5693, 2021","venue":null,"work_id":"06764c2b-246f-443a-8d33-4c8cb7b9110c","year":2021},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.106774Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:e8a00b06ae6093c9fb4ed4302aa504f69a032f98d6c0b86185abd9e2b6c3e688","observation_id":"54cd4965-b5f7-461f-88c3-fb2ae2dd54b4","resolution":{"observed_at":"2026-08-15T21:01:46.369758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:46.349086Z","title":"Dm2c: Deep mixed-modal clus- tering.Advances in Neural Information Processing Systems, 32, 2019","venue":null,"work_id":"5dd94161-64e0-40d6-9e50-37fc2b1e537a","year":2019},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.111210Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:20fb2572da5d9d4cb063ec92e49f554b3095b5bdc94001e1c8960406f4db72d6","observation_id":"87b6f9f5-ba92-481b-8b19-2564da72b0a8","resolution":{"observed_at":"2026-08-15T21:01:46.353809Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:46.333625Z","title":"Deep incomplete multi-view clustering with cross-view partial sample and prototype alignment","venue":null,"work_id":"88e0be3e-a18d-49e1-a359-5903515d4589","year":2023},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.115721Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:7701d518d204e19cadd87a0a667d6664bc5238c561e8222bfc9752e19324c754","observation_id":"7f3b209f-26e7-40f0-ba19-1daa009eea0a","resolution":{"observed_at":"2026-08-15T21:01:46.338624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.120002Z","title":"Rethinking multi-view representation learning via distilled disentangling","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.120002Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:cbfb1121afef2a1588c7ff5d29f10c137b913e477f0113d34da54004699d2937","observation_id":"e1f8bc34-02b0-446c-9b11-54b26fb00abd","resolution":{"observed_at":"2026-08-15T21:01:45.120002Z","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":"2026-08-15T21:01:46.307046Z","title":"An efficient heuristic pro- cedure for partitioning graphs.The Bell system technical journal, 49(2):291–307, 1970","venue":null,"work_id":"5f1620a6-8d8e-4f19-a80f-847de1c936d4","year":1970},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.124820Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:b829216f96e7194e3bc806dc9d00a325dcf6029a44d3cb8bffac233dc937a63f","observation_id":"7f22acfa-51a8-48a8-ae68-536173044ea2","resolution":{"observed_at":"2026-08-15T21:01:46.312224Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.11045","last_updated":"2023-01-30T03:52:24Z","snapshot_observed_at":"2026-08-16T16:00:01.571522Z","submitted_at":"2023-01-26T11:37:53Z","title":"Incomplete Multi-view Clustering via Prototype-based Imputation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.11045","snapshot_observed_at":"2026-08-15T21:01:45.129634Z","title":"Incomplete multi-view cluster- ing via prototype-based imputation.arXiv preprint arXiv:2301.11045, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.129634Z"},"links":{"cited_paper":"/paper/2301.11045","citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:00eec028c57477b5fc9409bcd96f2a7af6bbcbf40d4135325c638116715a2fef","observation_id":"f311868a-3efb-43ed-8cff-509dd9332dd7","resolution":{"observed_at":"2026-08-15T21:01:45.129634Z","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":"2026-08-15T21:01:46.291701Z","title":"Cross-view graph matching guided anchor align- ment for incomplete multi-view clustering.Information Fu- sion, 100:101941, 2023","venue":null,"work_id":"fb284d36-3e93-4b4b-8380-4407ce040624","year":2023},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.134525Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:02c9cf02f91c9b34333df9ab530164f946f15641cb4f731c10c6612139bab5ae","observation_id":"94e63780-7a1a-4214-b5d6-6ff8f86ad5cd","resolution":{"observed_at":"2026-08-15T21:01:46.296528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.138619Z","title":"A survey of multi-view representation learning.IEEE transactions on knowledge and data engineering, 31(10):1863–1883, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.138619Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:850621f0ec9ae0efb74d4be13b38814b60a5c6c8f113d8fd5225b3b45c208d40","observation_id":"3c59d7d7-923a-4263-9d6f-2ef6e17701bf","resolution":{"observed_at":"2026-08-15T21:01:45.138619Z","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":"2026-08-15T21:01:46.267450Z","title":"Contrastive clustering","venue":null,"work_id":"c2549a88-36cc-404a-9fc7-0a1db71ca0d0","year":2021},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.142862Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:042fd645c6e752b7461d2c5a028f8b99cbb068838f7bbfd6b55dc936996035b3","observation_id":"8fb5e6c6-0b56-4e5b-b479-fdd797c92779","resolution":{"observed_at":"2026-08-15T21:01:46.272017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:46.252232Z","title":"Twin contrastive learning for online clustering.International Journal of Computer Vision, 130 (9):2205–2221, 2022","venue":null,"work_id":"f9e3cd1f-03cb-4462-a18d-e34c3058651e","year":2022},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.147611Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:2ef170eb4eae7014fcffd1d2730c10679310a03d02c67ef5f61554da5835f4ad","observation_id":"1c6417e3-be6f-4e69-ab27-d80508706fb6","resolution":{"observed_at":"2026-08-15T21:01:46.257400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:46.121502Z","title":"Completer: Incomplete multi-view clustering via contrastive prediction","venue":null,"work_id":"fa6d3bae-ad59-4ca2-b39a-f39e97c43fec","year":2021},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.151952Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:eeab13e0a7a9ec2d6570f6807d03536902f368ee7bc83fe80f2439b0917f94ea","observation_id":"3615fe28-532d-49c1-bcd6-674f5f8e1d8f","resolution":{"observed_at":"2026-08-15T21:01:46.126373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:46.106352Z","title":"Dual contrastive prediction for incomplete multi-view representation learning.IEEE Trans- actions on Pattern Analysis and Machine Intelligence, 45(4): 4447–4461, 2022","venue":null,"work_id":"738b39f2-fcbf-412b-8261-41820e91476d","year":2022},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.156413Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:3231d4ad9be4b30176156d1cf2288e088999469cfcda91fe1e8bb72ced3a7e16","observation_id":"6ce12a9f-7a0f-43b1-9463-43584cc563d1","resolution":{"observed_at":"2026-08-15T21:01:46.111262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:46.090975Z","title":"Effi- cient token-guided image-text retrieval with consistent mul- timodal contrastive training.IEEE Transactions on Image Processing, 32:3622–3633, 2023","venue":null,"work_id":"f420909c-bb79-4a2b-ad47-efe7fc1c6535","year":2023},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.160736Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:25ba8d3ee9571dbbeb18ddf9ca94022fde2411fa7528442c15844ed00f52efea","observation_id":"e449d70d-c820-495e-af64-81507e5c1691","resolution":{"observed_at":"2026-08-15T21:01:46.096681Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:46.075939Z","title":"Late fusion incomplete multi-view clustering","venue":null,"work_id":"5c80fca7-d659-433e-ba47-81fea6ca6170","year":2018},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.165094Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:a6880f01b3cc6eb38afdeddc97b516e59386153c3dd0a4461cca43931691b514","observation_id":"15c296f3-0c28-4cbb-985b-d469904fd810","resolution":{"observed_at":"2026-08-15T21:01:46.081008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:46.060189Z","title":"A survey on deep clustering: from the prior perspective.Vici- nagearth, 1(1):4, 2024","venue":null,"work_id":"de7bebd5-b544-45a7-9c73-3b779a8847c4","year":2024},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.169349Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:874da0ae931847c79363a667fabd44cfcb8d07de669901ebf9502df0dd9e85f8","observation_id":"6f093bc5-fd85-4c8e-86fa-56c5897dea56","resolution":{"observed_at":"2026-08-15T21:01:46.065210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:46.044346Z","title":"Decoupled contrastive multi-view cluster- ing with high-order random walks","venue":null,"work_id":"c35cfc93-ef80-4535-a9bf-97a35c538f14","year":2024},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.173685Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:4b223f00d48d8cd8ae0ec0423288db24b43132ca6aea4a4f8fec224d46790707","observation_id":"b58e5af0-9b89-48c2-bba7-e2d1c18012a9","resolution":{"observed_at":"2026-08-15T21:01:46.048987Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:46.028596Z","title":"Modularity and community structure in networks.Proceedings of the national academy of sciences, 103(23):8577–8582, 2006","venue":null,"work_id":"578aca79-2df3-4260-bfb9-e2793f4a7cfd","year":2006},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.177956Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:0d53b5033534d787938d7f51135967f1a78e28ee9b4d4067470f5ac6c8905051","observation_id":"1bd2ba01-db57-41d0-afe6-0aab79d49356","resolution":{"observed_at":"2026-08-15T21:01:46.034201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:46.013116Z","title":"Adap- tive feature imputation with latent graph for deep incomplete multi-view clustering","venue":null,"work_id":"a0b38879-3c81-4f83-a4a9-439a9ea2a96e","year":2024},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.182525Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:e3931c8aeceb8a54ef22f4d35a3174994acfa6f1498cd95fab950487d7f3c29f","observation_id":"75fd1922-e087-4d81-991c-7c28bef43700","resolution":{"observed_at":"2026-08-15T21:01:46.017856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.997708Z","title":"You never cluster alone.Advances in Neural Information Processing Systems, 34:27734–27746,","venue":null,"work_id":"9c5aa8fd-59e6-4562-b192-838427fbee11","year":null},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.187087Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:b73da82bb643c84b79143cc0b110f49e9b3ba1cd79ea58203406aa7242fb7551","observation_id":"7d9c9497-d71e-439a-b9f8-f5ac5607918b","resolution":{"observed_at":"2026-08-15T21:01:46.002144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.983347Z","title":"Robust multi-view clustering with noisy cor- respondence.IEEE Transactions on Knowledge and Data Engineering, 2024","venue":null,"work_id":"11beac35-2325-43d8-9bbc-4abe4aed64a4","year":2024},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.191842Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:0ceceb6818f483c53b5e5dfb09493616de96489bdc37bc2ea373598aa4047917","observation_id":"acf3db3a-4201-4edc-b34a-13f8eada51dd","resolution":{"observed_at":"2026-08-15T21:01:45.988078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.968853Z","title":"Deep safe multi-view cluster- ing: Reducing the risk of clustering performance degradation caused by view increase","venue":null,"work_id":"93ccfb45-5719-4af0-9c13-dbae93a9c56b","year":2022},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.196363Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:a737eeb12ffe0689b25cdc999ae61714422fbbb074afacbb61c041e4f744061d","observation_id":"dd187052-2113-4eaa-8e35-995c0ff8e10c","resolution":{"observed_at":"2026-08-15T21:01:45.973787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.954300Z","title":"Incomplete multi-view learning: Review, analysis, and prospects.Applied Soft Computing, page 111278, 2024","venue":null,"work_id":"629ecec7-5db5-40e6-9f9f-3658ac0b1a0d","year":2024},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.200718Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:19790971dd851e3b04b68c1295ef79f5b6deaaf3343f4cfbc14c2220e3dbfb30","observation_id":"c836ed48-9edc-402d-af2b-2584e42b41dd","resolution":{"observed_at":"2026-08-15T21:01:45.958980Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.939581Z","title":"One-step multi- view clustering with diverse representation.IEEE Transac- tions on Neural Networks and Learning Systems, pages 1– 13, 2024","venue":null,"work_id":"dee03ca1-cf1f-4721-85dc-57963c17ee1b","year":2024},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.205111Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:1077897131ee982cf62bcef8319dabe9256ccc2853e4ce15d849c1a203cc75c4","observation_id":"1441c5b9-86f8-484c-b18e-c2291185ed33","resolution":{"observed_at":"2026-08-15T21:01:45.944454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.209908Z","title":"Fast continual multi-view clustering with incomplete views.IEEE Transactions on Image Processing, 33:2995–3008, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.209908Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:0c036155c86be0be4847f76cc81872e81e72aefa6274debe2ca16a0955145252","observation_id":"c0dd9826-531d-4737-b92c-ee6c87908847","resolution":{"observed_at":"2026-08-15T21:01:45.209908Z","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":"2026-08-15T21:01:45.913935Z","title":"Cline: Contrastive learning with semantic negative examples for natural language understanding","venue":null,"work_id":"e31ad9c7-ace1-472f-bc31-7291df369ba9","year":2021},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.214350Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:d7bcef7043b6f81da2be9f125d018ec98fa9906dbc500eef12e74d2d1d666fd6","observation_id":"2d715a48-71ac-479c-be32-7b766826e6c6","resolution":{"observed_at":"2026-08-15T21:01:45.918598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.898648Z","title":"Rethinking minimal sufficient representation in contrastive learning","venue":null,"work_id":"da0cc988-c213-42ab-833a-ca585eb576f9","year":2022},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.219525Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:a3f58432649661f090031c3f618af05b3644c89b165d58f04dc662ec241f8769","observation_id":"3bc13b1b-38f6-4a22-a744-647f6a998a8e","resolution":{"observed_at":"2026-08-15T21:01:45.903771Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.883066Z","title":"Generative partial multi-view clustering with adaptive fusion and cycle consistency.IEEE Transac- tions on Image Processing, 30:1771–1783, 2021","venue":null,"work_id":"4aa4a0fb-801a-496a-a106-3f99707b1645","year":2021},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.224573Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:81118a4e43028eaf543920e950fbc4ffa661605655dbd037507fd2a6463a6179","observation_id":"1b9e170e-fadf-4dca-8a0b-c11a356197d8","resolution":{"observed_at":"2026-08-15T21:01:45.888055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.866908Z","title":"Align then fusion: General- ized large-scale multi-view clustering with anchor matching correspondences.Advances in Neural Information Process- ing Systems, 35:5882–5895, 2022","venue":null,"work_id":"ab59c201-7627-4c99-b5c1-6b42bd37426c","year":2022},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.228989Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:cbe8d87ecac5db76f690ca2682c9ce4c74e1508db541c36f566de6e9ebc0860c","observation_id":"27c12a90-69ba-46f9-9ab1-20e883c3084b","resolution":{"observed_at":"2026-08-15T21:01:45.871506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.851822Z","title":"Incomplete multi-view clustering via cross-view relation transfer.IEEE Transactions on Circuits and Systems for Video Technology, 2022","venue":null,"work_id":"8762dc55-4724-43c8-aa32-5a25a9890afd","year":2022},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.233365Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:737e57905891f192fcf71bd7e1fe9e33fab96d509eb676fe4fe0bd7a69c83466","observation_id":"e0d062a0-f192-4c7a-bcd8-6a6c02d8dff0","resolution":{"observed_at":"2026-08-15T21:01:45.856980Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.237450Z","title":"Deep incomplete multi-view multiple clusterings","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.237450Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:9b9790e5e9ec75b33dd5f0265e672590b20848b8b80b707b0262923e0010d34e","observation_id":"ca1fb807-8ac1-472a-9342-c549dd7bee9b","resolution":{"observed_at":"2026-08-15T21:01:45.237450Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:01:45.241904Z","title":"Unsupervised feature learning via non-parametric instance discrimination","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.241904Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:1aad98529a30ede139c5152a142844a5461cc7c8eaf75b5b15cefd3d675afa70","observation_id":"e664b151-6874-4779-8144-abb010f70c4b","resolution":{"observed_at":"2026-08-15T21:01:45.241904Z","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":"2026-08-15T21:01:45.818855Z","title":"Detco: Unsuper- vised contrastive learning for object detection","venue":null,"work_id":"ee6e8d6c-5c63-4ea1-9fbc-24cc72656d9b","year":2021},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.246562Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:282e0ff0781e25f31edf3cff54ed5f4f31eee2a24ee39f55658dff8b8cf031c1","observation_id":"de3548cb-147d-4ed1-8cac-e9751c1fe052","resolution":{"observed_at":"2026-08-15T21:01:45.823397Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.803659Z","title":"Unsupervised deep embedding for clustering analysis","venue":null,"work_id":"968829ed-882d-4c6c-a075-fd3964bb4532","year":null},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.251074Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:7f6503d9c433babe3c99ac24dd54e7ecd2edbc566f1ea01a724ef955fb287d1e","observation_id":"8322b61e-ca84-41f6-a2ff-e487dd649c29","resolution":{"observed_at":"2026-08-15T21:01:45.808808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.789483Z","title":"Adversarial incomplete multi-view cluster- ing","venue":null,"work_id":"fc50a9ce-ade8-4ecf-b359-32fb262247a0","year":2019},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.256608Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:d2637bd7cd2ab24d99da780228f733317c38192743665e4a51925339b2e3a22b","observation_id":"fa56c259-8b46-432b-ace3-da33a9675ee1","resolution":{"observed_at":"2026-08-15T21:01:45.794172Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.773938Z","title":"Deep incomplete multi- view clustering via mining cluster complementarity","venue":null,"work_id":"37388fa2-f2ca-422a-927b-7e5ccc4035c0","year":2022},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.260751Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:506dcd3b099843288d9159a1b8c99a2946524571279dd6fc189766e4afd43fc8","observation_id":"4c590064-8097-4a53-b65a-492c4321dd14","resolution":{"observed_at":"2026-08-15T21:01:45.779455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.758907Z","title":"Multi-level feature learning for contrastive multi-view clustering","venue":null,"work_id":"e60e69c0-4b5e-4cef-a027-a236e41cfbed","year":2022},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.265014Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:a51150883e588debdcaa56357edf058686a97e09f671ec1f2ec6dee4ac46ae7a","observation_id":"f06dd289-82d6-4542-951b-25e98283975e","resolution":{"observed_at":"2026-08-15T21:01:45.764082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.742475Z","title":"Adaptive feature projec- tion with distribution alignment for deep incomplete multi- view clustering.IEEE Transactions on Image Processing, 32:1354–1366, 2023","venue":null,"work_id":"a7d34c84-8418-4e17-acfa-efb318af17e3","year":2023},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.269289Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:1872456f0a878c29b4dc2ffc28c4bbcb2e42c4f49920f64ea88a615335ccb3ef","observation_id":"2472798c-157a-4298-9249-eacb193b4703","resolution":{"observed_at":"2026-08-15T21:01:45.748483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.728019Z","title":"Cmclrec: Cross-modal contrastive learning for user cold-start sequential recommendation","venue":null,"work_id":"27f88acc-4027-4743-b76b-98a38a9a1412","year":2024},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.273736Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:a3a1fa6248067610b2b7b8627456fb7a68fb05b79f1836938f994078c63524bd","observation_id":"13dcce1e-906d-4dd9-8251-a76ebdc8e937","resolution":{"observed_at":"2026-08-15T21:01:45.732810Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.713574Z","title":"Differentiable information bottleneck for deterministic multi-view clustering","venue":null,"work_id":"768211e4-c36c-4e4a-b77b-069a74c5ed7f","year":2024},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.277975Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:63591d86ef91f36a5609a21294a46c457af7d53e34bd7979a2a9bc27b276e6f6","observation_id":"4f24d399-bd69-408e-8e0b-8e79afd7174e","resolution":{"observed_at":"2026-08-15T21:01:45.718289Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.698392Z","title":"Deep cluster- ing analysis via dual variational autoencoder with spherical latent embeddings.IEEE Transactions on Neural Networks and Learning Systems, 34(9):6303–6312, 2021","venue":null,"work_id":"67a83d49-4556-4ab0-aa0a-fc4b644c06b7","year":2021},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.282291Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:fa6efd3511b66507af56a8158eae8a3c65ff374b4ad7d5685eae359abdecf5c3","observation_id":"ca6fa7a6-b83f-4a0b-927a-cd50e297dc73","resolution":{"observed_at":"2026-08-15T21:01:45.703279Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.683915Z","title":"Partially view-aligned representation learn- ing with noise-robust contrastive loss","venue":null,"work_id":"af67b2ce-5463-4ac5-9348-d6b37546f880","year":2021},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.291215Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:f558ae2662a27c2bc3f9345eca6cd14ab5fc526442d7c17c588d9db9634b5f85","observation_id":"bfd6e59d-f51c-4028-85d6-0fa39be50255","resolution":{"observed_at":"2026-08-15T21:01:45.688656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.670361Z","title":"Robust multi-view clustering with incom- plete information.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(1):1055–1069, 2022","venue":null,"work_id":"8b5c9707-400c-497f-b5fc-88b17a822696","year":2022},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.295601Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:dddf83487b4e8f437562646b3df12fd77f2f6fd5a144a88161af51d46aedbad3","observation_id":"5eb241db-8dda-4dd8-8fde-b499b0f32c8e","resolution":{"observed_at":"2026-08-15T21:01:45.674976Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.655948Z","title":"Robust multi-view clustering with incom- plete information.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022","venue":null,"work_id":"e9f1688a-f61c-40fe-a10c-4ec09292ed55","year":2022},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.300176Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:0a424baa68039d6019db6701383efec723c549182570619bca5fea2e963b1ba9","observation_id":"5f0b16eb-5e2f-4f57-a9b5-c384242972ed","resolution":{"observed_at":"2026-08-15T21:01:45.660644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.641592Z","title":"Sparse low- rank multi-view subspace clustering with consensus anchors and unified bipartite graph.IEEE Transactions on Neural Networks and Learning Systems, 2023","venue":null,"work_id":"45265f2e-a5e3-48d9-ad2a-2a8aacc1d07d","year":2023},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.304516Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:6ada621b4d226648ab05caeccb5b6cb4fd9995b8ea8ff134637a203800957a4a","observation_id":"2b2fbbd6-0e32-445f-80bf-955a489d09f3","resolution":{"observed_at":"2026-08-15T21:01:45.646895Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.626339Z","title":"A non- parametric graph clustering framework for multi-view data","venue":null,"work_id":"3235eb8e-2347-4287-8232-148f509ecab4","year":2024},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.308562Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:3aed928a8916331e6e7b026d1b2e801c2d9b98e77129cd047afd19528a0debd2","observation_id":"0bdc6f1a-c95d-45c5-8367-000df6fe54ae","resolution":{"observed_at":"2026-08-15T21:01:45.631843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.611109Z","title":"Semantic invariant multi- view clustering with fully incomplete information.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(4):2139–2150, 2023","venue":null,"work_id":"0fdfaf75-2d3a-4d48-b44c-3fd950575235","year":2023},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.312841Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:c2ef2d4231bf7991d9d85a2f299c28e8971248126f3b158e161e96c1225e7a2b","observation_id":"6e9097e9-9f1c-4d2d-b9c8-45a0e433782d","resolution":{"observed_at":"2026-08-15T21:01:45.617075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.597460Z","title":"Deep partial multi-view learning.IEEE transactions on pattern analysis and machine intelligence, 44(5):2402–2415, 2020","venue":null,"work_id":"21e082b3-c21a-4b75-92e5-5f35e410ba57","year":2020},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.317144Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:5bdc84459cd45027eb37bc2fa7cb5ce0e12a4c763a94e02ff60410fc241a7d46","observation_id":"45f933c9-a231-4395-9c38-2b9b2aec38a0","resolution":{"observed_at":"2026-08-15T21:01:45.602128Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.583665Z","title":"One-stage incomplete multi-view clustering via late fusion","venue":null,"work_id":"9013b643-abf2-4be5-b4cb-46bcf91f86a9","year":2021},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.321442Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:9110ca97e7f674c23c436045ed7048b9f17eb5ac3e81ec94d9c85fe24ad137fa","observation_id":"411797cd-14c9-4727-b2d0-7e56711d4d55","resolution":{"observed_at":"2026-08-15T21:01:45.588128Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.569313Z","title":"Regularized in- stance weighting multiview clustering via late fusion align- ment.IEEE Transactions on Neural Networks and Learning Systems, 2024","venue":null,"work_id":"70174aaf-f653-4946-839e-2a6c49c5e600","year":2024},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.325926Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:867ba0cdb94b023f538688237a1f32603f6b517d1a5f1a5a602340e542a80fa9","observation_id":"d0dbb1c8-01ed-4a44-84a9-173a0cd46869","resolution":{"observed_at":"2026-08-15T21:01:45.573930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2008.03030","last_updated":"2020-08-27T05:42:48Z","snapshot_observed_at":"2026-08-13T21:54:56.454754Z","submitted_at":"2020-08-07T08:05:53Z","title":"Deep Robust Clustering by Contrastive Learning","version":2},"cited_work":{"arxiv_id":"2008.03030","doi":null,"metadata_source":"pith","pith_arxiv_id":"2008.03030","snapshot_observed_at":"2026-08-15T21:01:45.418488Z","title":"Deep Robust Clustering by Contrastive Learning","venue":"cs.CV","work_id":"b95b95d7-b6eb-43bc-9d28-1adec45546fc","year":2020},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.330268Z"},"links":{"cited_paper":"/paper/2008.03030","citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:a075cd4a0b15581e146f5c88a3c2b726510ff43d23627e0db28486c5dc1cd5bd","observation_id":"65542670-fb23-4780-869a-b62e7e591674","resolution":{"observed_at":"2026-08-15T21:01:45.425166Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.555202Z","title":"A survey and an empirical evaluation of multi- view clustering approaches.ACM Computing Surveys, 56 (7):1–38, 2024","venue":null,"work_id":"b3a7dbf5-c609-4741-a3d7-364883d093c6","year":2024},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.334838Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:ee3c88fd7767d17c8e8a44adecd1e440a080cc6fd64d453b5dc117a194b28706","observation_id":"c27948ed-71aa-445f-a7b1-872c93f542b2","resolution":{"observed_at":"2026-08-15T21:01:45.559882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.01978","last_updated":"2024-03-24T17:47:06Z","snapshot_observed_at":"2026-08-14T14:55:32.882305Z","submitted_at":"2019-08-06T06:44:43Z","title":"Multi-view Deep Subspace Clustering Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.01978","snapshot_observed_at":"2026-08-15T21:01:45.339009Z","title":"Multi-view deep subspace clustering net- works.arXiv preprint arXiv:1908.01978, 2019","venue":null,"work_id":null,"year":1908},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.339009Z"},"links":{"cited_paper":"/paper/1908.01978","citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:40b3e930a2755ca262551efcc93191b36f999cc4113254fd9540e46fac1b641e","observation_id":"642e242b-a51e-401d-a5d2-b2b248e60979","resolution":{"observed_at":"2026-08-15T21:01:45.339009Z","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":"2026-08-15T21:01:45.540707Z","title":null,"venue":null,"work_id":"4d09e474-85f3-4060-bef6-5b5611b8f5aa","year":null},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.343727Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:c15445ff409042d7fb0bfc23f673eea334960dbf899a080940a19b0f3a8b8262","observation_id":"bd84a161-9600-4663-a8d5-58161d503f64","resolution":{"observed_at":"2026-08-15T21:01:45.544959Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.525544Z","title":"DIVIDE [34] utilizes an anchor-based approach to identify out-of-domain samples through high- order random walks to mitigate the issue of false negatives","venue":null,"work_id":"276e47f8-8c5c-4fdc-bbed-18a8192d6533","year":null},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.348001Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:7e8e03475e881004bfd96b9385fe988dee329500b13ab8cfd1ceeb9590cd7c5a","observation_id":"c595cb52-2afd-4b9c-8d3d-79db787ca4a9","resolution":{"observed_at":"2026-08-15T21:01:45.530332Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.509827Z","title":null,"venue":null,"work_id":"ca7309bc-8d23-4d2a-9466-d21cfbe99922","year":null},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.352451Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:e9ac2a65a4d85da666db56ae28e3438a031a993db4bab4781d670f760335ef79","observation_id":"c79a0225-3075-441b-8884-6eb17af38dd8","resolution":{"observed_at":"2026-08-15T21:01:45.515611Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.495098Z","title":"Although they successfully apply view-specific information in impu- tation, they lose the cluster structure information within the missing views","venue":null,"work_id":"1a18eadf-1c34-4e20-b97e-a2450ca3db97","year":null},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.356871Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:2eae5ec271aa903507d41913bf6a0641ef3ba08589a60db80937d91f00e42269","observation_id":"fc80a6e0-8a07-4d81-8b4b-8398a75bf943","resolution":{"observed_at":"2026-08-15T21:01:45.499943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.480584Z","title":null,"venue":null,"work_id":"d4105b7f-9be6-4334-9c73-bafc8bbdbcc4","year":null},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.361864Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:26fd22ab6a4dfb3bee6c584676ffc7ceb5eb3be6e00907af68d51b733125de1a","observation_id":"e39c1f3e-93d1-4cc6-9311-5ec05acfa080","resolution":{"observed_at":"2026-08-15T21:01:45.485167Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:01:45.465244Z","title":null,"venue":null,"work_id":"5c18acac-074f-4b8e-b9cd-0e1d9feb17eb","year":1984},"citing_paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-15T21:01:45.366422Z"},"links":{"citing_paper":"/paper/2505.11182"},"observation_digest":"sha256:9705120e8eb13fe019f86dc30671b8cf129ecc1adcf896bd90555813ebe54704","observation_id":"650cf0c6-65e4-4ab8-b485-88d99ddad160","resolution":{"observed_at":"2026-08-15T21:01:45.469562Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.11182","last_updated":"2025-05-16T12:37:10Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T07:09:57.041318Z","submitted_at":"2025-05-16T12:37:10Z","title":"Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning"},"reference_resolution":{"displayed":76,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":14,"verified_exact":1,"verified_fuzzy":60},"total_outbound_references":76},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2505.11182."}