{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:ISFNE74TCFOJSJA73OILX54J3K","short_pith_number":"pith:ISFNE74T","canonical_record":{"source":{"id":"2210.07063","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-10-13T14:40:48Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a8dae754d7669fc8d73fe366166ce94e95146668f5239c2eb8aef4c3a288fc16","abstract_canon_sha256":"aaa6791970dbb3edf6564a468ab8b6550c634cc3d517b8ff137b540b9647e506"},"schema_version":"1.0"},"canonical_sha256":"448ad27f93115c99241fdb90bbf789daa2a0abf53c1e5c02d6976c1e50168b36","source":{"kind":"arxiv","id":"2210.07063","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.07063","created_at":"2026-07-05T05:43:59Z"},{"alias_kind":"arxiv_version","alias_value":"2210.07063v1","created_at":"2026-07-05T05:43:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.07063","created_at":"2026-07-05T05:43:59Z"},{"alias_kind":"pith_short_12","alias_value":"ISFNE74TCFOJ","created_at":"2026-07-05T05:43:59Z"},{"alias_kind":"pith_short_16","alias_value":"ISFNE74TCFOJSJA7","created_at":"2026-07-05T05:43:59Z"},{"alias_kind":"pith_short_8","alias_value":"ISFNE74T","created_at":"2026-07-05T05:43:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:ISFNE74TCFOJSJA73OILX54J3K","target":"record","payload":{"canonical_record":{"source":{"id":"2210.07063","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-10-13T14:40:48Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a8dae754d7669fc8d73fe366166ce94e95146668f5239c2eb8aef4c3a288fc16","abstract_canon_sha256":"aaa6791970dbb3edf6564a468ab8b6550c634cc3d517b8ff137b540b9647e506"},"schema_version":"1.0"},"canonical_sha256":"448ad27f93115c99241fdb90bbf789daa2a0abf53c1e5c02d6976c1e50168b36","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:43:59.914195Z","signature_b64":"GoRgWWTPk47VsPy5P4s+7JGjOBTuH2ZiPvkw2HEZJsnObY3De8Ostb/o0bPo4qQD63mX/bvPR6PSbIUIAICYDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"448ad27f93115c99241fdb90bbf789daa2a0abf53c1e5c02d6976c1e50168b36","last_reissued_at":"2026-07-05T05:43:59.913719Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:43:59.913719Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.07063","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:43:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ise6Bxh5SMIGuxFCcD6YjucD61k7+h+/wqLAVwNh14ElVINH3mEkC72hYXgmrQjeAZSZn4a/Ipj/4YyCvdScDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T06:50:36.381139Z"},"content_sha256":"abddce039861f9c6a12dceef3bfe15a8d3f4d2080b65fa23d33a1dcdec3a06d0","schema_version":"1.0","event_id":"sha256:abddce039861f9c6a12dceef3bfe15a8d3f4d2080b65fa23d33a1dcdec3a06d0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:ISFNE74TCFOJSJA73OILX54J3K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Clustering With Consensus Representations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Christian B\\\"ohm, Claudia Plant, Lukas Miklautz, Martin Teuffenbach, Pascal Weber, Rona Perjuci, Walid Durani","submitted_at":"2022-10-13T14:40:48Z","abstract_excerpt":"The field of deep clustering combines deep learning and clustering to learn representations that improve both the learned representation and the performance of the considered clustering method. Most existing deep clustering methods are designed for a single clustering method, e.g., k-means, spectral clustering, or Gaussian mixture models, but it is well known that no clustering algorithm works best in all circumstances. Consensus clustering tries to alleviate the individual weaknesses of clustering algorithms by building a consensus between members of a clustering ensemble. Currently, there is"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.07063","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2210.07063/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:43:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vRKCuf/KqkP9puS3XQApCghMit5LVE2qG9r0PL4xLBMxRlcABh6pgGqZfGzOtXvsQMUM8civG+b4Olth3xvICw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T06:50:36.381535Z"},"content_sha256":"0f4f6e19ff75cc8ee68c8c463e00cbb11e35c29913a6cab2e1078545910df69c","schema_version":"1.0","event_id":"sha256:0f4f6e19ff75cc8ee68c8c463e00cbb11e35c29913a6cab2e1078545910df69c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ISFNE74TCFOJSJA73OILX54J3K/bundle.json","state_url":"https://pith.science/pith/ISFNE74TCFOJSJA73OILX54J3K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ISFNE74TCFOJSJA73OILX54J3K/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-09T06:50:36Z","links":{"resolver":"https://pith.science/pith/ISFNE74TCFOJSJA73OILX54J3K","bundle":"https://pith.science/pith/ISFNE74TCFOJSJA73OILX54J3K/bundle.json","state":"https://pith.science/pith/ISFNE74TCFOJSJA73OILX54J3K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ISFNE74TCFOJSJA73OILX54J3K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:ISFNE74TCFOJSJA73OILX54J3K","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"aaa6791970dbb3edf6564a468ab8b6550c634cc3d517b8ff137b540b9647e506","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-10-13T14:40:48Z","title_canon_sha256":"a8dae754d7669fc8d73fe366166ce94e95146668f5239c2eb8aef4c3a288fc16"},"schema_version":"1.0","source":{"id":"2210.07063","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.07063","created_at":"2026-07-05T05:43:59Z"},{"alias_kind":"arxiv_version","alias_value":"2210.07063v1","created_at":"2026-07-05T05:43:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.07063","created_at":"2026-07-05T05:43:59Z"},{"alias_kind":"pith_short_12","alias_value":"ISFNE74TCFOJ","created_at":"2026-07-05T05:43:59Z"},{"alias_kind":"pith_short_16","alias_value":"ISFNE74TCFOJSJA7","created_at":"2026-07-05T05:43:59Z"},{"alias_kind":"pith_short_8","alias_value":"ISFNE74T","created_at":"2026-07-05T05:43:59Z"}],"graph_snapshots":[{"event_id":"sha256:0f4f6e19ff75cc8ee68c8c463e00cbb11e35c29913a6cab2e1078545910df69c","target":"graph","created_at":"2026-07-05T05:43:59Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2210.07063/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The field of deep clustering combines deep learning and clustering to learn representations that improve both the learned representation and the performance of the considered clustering method. Most existing deep clustering methods are designed for a single clustering method, e.g., k-means, spectral clustering, or Gaussian mixture models, but it is well known that no clustering algorithm works best in all circumstances. Consensus clustering tries to alleviate the individual weaknesses of clustering algorithms by building a consensus between members of a clustering ensemble. Currently, there is","authors_text":"Christian B\\\"ohm, Claudia Plant, Lukas Miklautz, Martin Teuffenbach, Pascal Weber, Rona Perjuci, Walid Durani","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-10-13T14:40:48Z","title":"Deep Clustering With Consensus Representations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.07063","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:abddce039861f9c6a12dceef3bfe15a8d3f4d2080b65fa23d33a1dcdec3a06d0","target":"record","created_at":"2026-07-05T05:43:59Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"aaa6791970dbb3edf6564a468ab8b6550c634cc3d517b8ff137b540b9647e506","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-10-13T14:40:48Z","title_canon_sha256":"a8dae754d7669fc8d73fe366166ce94e95146668f5239c2eb8aef4c3a288fc16"},"schema_version":"1.0","source":{"id":"2210.07063","kind":"arxiv","version":1}},"canonical_sha256":"448ad27f93115c99241fdb90bbf789daa2a0abf53c1e5c02d6976c1e50168b36","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"448ad27f93115c99241fdb90bbf789daa2a0abf53c1e5c02d6976c1e50168b36","first_computed_at":"2026-07-05T05:43:59.913719Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:43:59.913719Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GoRgWWTPk47VsPy5P4s+7JGjOBTuH2ZiPvkw2HEZJsnObY3De8Ostb/o0bPo4qQD63mX/bvPR6PSbIUIAICYDw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:43:59.914195Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.07063","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:abddce039861f9c6a12dceef3bfe15a8d3f4d2080b65fa23d33a1dcdec3a06d0","sha256:0f4f6e19ff75cc8ee68c8c463e00cbb11e35c29913a6cab2e1078545910df69c"],"state_sha256":"9c46bd3812c5aed14fa5329ea661354d649219240c6d7efcaea8fa764322fcfe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iCa2Cbh5K392bvO3ixFhTQLeCeM+GYknHZU2daVg8WJZiIYtoUrQXvsFaqIvehM2hUHETvmOuOgH14iNBynBAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T06:50:36.383618Z","bundle_sha256":"544341cbe9c3dac26e3fc6d663dec97cf50c96cc75f73dcbfdf038f43f2aeed2"}}