{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:YS2LGTOTBIYLOABI2MOJZH3WOS","short_pith_number":"pith:YS2LGTOT","canonical_record":{"source":{"id":"2212.03182","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-30T01:49:06Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"098bedb61f61072cf1d031b103121a3f36793594accd1f5043660091067e9755","abstract_canon_sha256":"deae6543821153e1ce9947cb69ae881143becfd01fac8fd1196ed90e36de8fee"},"schema_version":"1.0"},"canonical_sha256":"c4b4b34dd30a30b70028d31c9c9f7674a1843749687584a7fb307598b446bc8b","source":{"kind":"arxiv","id":"2212.03182","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.03182","created_at":"2026-07-05T05:23:04Z"},{"alias_kind":"arxiv_version","alias_value":"2212.03182v1","created_at":"2026-07-05T05:23:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.03182","created_at":"2026-07-05T05:23:04Z"},{"alias_kind":"pith_short_12","alias_value":"YS2LGTOTBIYL","created_at":"2026-07-05T05:23:04Z"},{"alias_kind":"pith_short_16","alias_value":"YS2LGTOTBIYLOABI","created_at":"2026-07-05T05:23:04Z"},{"alias_kind":"pith_short_8","alias_value":"YS2LGTOT","created_at":"2026-07-05T05:23:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:YS2LGTOTBIYLOABI2MOJZH3WOS","target":"record","payload":{"canonical_record":{"source":{"id":"2212.03182","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-30T01:49:06Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"098bedb61f61072cf1d031b103121a3f36793594accd1f5043660091067e9755","abstract_canon_sha256":"deae6543821153e1ce9947cb69ae881143becfd01fac8fd1196ed90e36de8fee"},"schema_version":"1.0"},"canonical_sha256":"c4b4b34dd30a30b70028d31c9c9f7674a1843749687584a7fb307598b446bc8b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:23:04.746034Z","signature_b64":"TiIeNZn0Fvxv0JViLPa+f00MriYtRe4RSi3wFndvOfC1hvnFcDNZxYDBSgXMO4Bv4UpG8eKGXpNtibiuyhvpDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c4b4b34dd30a30b70028d31c9c9f7674a1843749687584a7fb307598b446bc8b","last_reissued_at":"2026-07-05T05:23:04.745687Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:23:04.745687Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2212.03182","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":"2026-07-05T05:23:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HSihvC9p7JOqCPmKL5mKifpkUeAbtGeFrAYj5iFQhM5+UFMB/5uCb2l+qs4fT/1bZmIP99//2ASNY+oO5JaUDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:35:25.893979Z"},"content_sha256":"623817fdfa7523a0e9281d4fea514874730bc84764dc9f2bcd3d3e919155d199","schema_version":"1.0","event_id":"sha256:623817fdfa7523a0e9281d4fea514874730bc84764dc9f2bcd3d3e919155d199"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:YS2LGTOTBIYLOABI2MOJZH3WOS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Overlapping oriented imbalanced ensemble learning method based on projective clustering and stagewise hybrid sampling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.LG","authors_text":"Bo Wang, Fan Li, Pin Wang, Yongming Li","submitted_at":"2022-11-30T01:49:06Z","abstract_excerpt":"The challenge of imbalanced learning lies not only in class imbalance problem, but also in the class overlapping problem which is complex. However, most of the existing algorithms mainly focus on the former. The limitation prevents the existing methods from breaking through. To address this limitation, this paper proposes an ensemble learning algorithm based on dual clustering and stage-wise hybrid sampling (DCSHS). The DCSHS has three parts. Firstly, we design a projection clustering combination framework (PCC) guided by Davies-Bouldin clustering effectiveness index (DBI), which is used to ob"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.03182","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/2212.03182/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":"2026-07-05T05:23:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Bb3R/RtrpRgC2pbEJwTjm0BYa47PDpf0u3o34yTmbrpa1XTMa5AGjjPPydFSdCjSuePlqiw052tT+ckVf2BsBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:35:25.894362Z"},"content_sha256":"096cbb62b344fa4c33c9917998463a393a3442648b2e191d435b3073cc519866","schema_version":"1.0","event_id":"sha256:096cbb62b344fa4c33c9917998463a393a3442648b2e191d435b3073cc519866"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YS2LGTOTBIYLOABI2MOJZH3WOS/bundle.json","state_url":"https://pith.science/pith/YS2LGTOTBIYLOABI2MOJZH3WOS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YS2LGTOTBIYLOABI2MOJZH3WOS/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":"2026-08-03T17:35:25Z","links":{"resolver":"https://pith.science/pith/YS2LGTOTBIYLOABI2MOJZH3WOS","bundle":"https://pith.science/pith/YS2LGTOTBIYLOABI2MOJZH3WOS/bundle.json","state":"https://pith.science/pith/YS2LGTOTBIYLOABI2MOJZH3WOS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YS2LGTOTBIYLOABI2MOJZH3WOS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:YS2LGTOTBIYLOABI2MOJZH3WOS","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":"deae6543821153e1ce9947cb69ae881143becfd01fac8fd1196ed90e36de8fee","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-30T01:49:06Z","title_canon_sha256":"098bedb61f61072cf1d031b103121a3f36793594accd1f5043660091067e9755"},"schema_version":"1.0","source":{"id":"2212.03182","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.03182","created_at":"2026-07-05T05:23:04Z"},{"alias_kind":"arxiv_version","alias_value":"2212.03182v1","created_at":"2026-07-05T05:23:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.03182","created_at":"2026-07-05T05:23:04Z"},{"alias_kind":"pith_short_12","alias_value":"YS2LGTOTBIYL","created_at":"2026-07-05T05:23:04Z"},{"alias_kind":"pith_short_16","alias_value":"YS2LGTOTBIYLOABI","created_at":"2026-07-05T05:23:04Z"},{"alias_kind":"pith_short_8","alias_value":"YS2LGTOT","created_at":"2026-07-05T05:23:04Z"}],"graph_snapshots":[{"event_id":"sha256:096cbb62b344fa4c33c9917998463a393a3442648b2e191d435b3073cc519866","target":"graph","created_at":"2026-07-05T05:23:04Z","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/2212.03182/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The challenge of imbalanced learning lies not only in class imbalance problem, but also in the class overlapping problem which is complex. However, most of the existing algorithms mainly focus on the former. The limitation prevents the existing methods from breaking through. To address this limitation, this paper proposes an ensemble learning algorithm based on dual clustering and stage-wise hybrid sampling (DCSHS). The DCSHS has three parts. Firstly, we design a projection clustering combination framework (PCC) guided by Davies-Bouldin clustering effectiveness index (DBI), which is used to ob","authors_text":"Bo Wang, Fan Li, Pin Wang, Yongming Li","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-30T01:49:06Z","title":"Overlapping oriented imbalanced ensemble learning method based on projective clustering and stagewise hybrid sampling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.03182","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":"sha256:623817fdfa7523a0e9281d4fea514874730bc84764dc9f2bcd3d3e919155d199","target":"record","created_at":"2026-07-05T05:23:04Z","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":"deae6543821153e1ce9947cb69ae881143becfd01fac8fd1196ed90e36de8fee","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-30T01:49:06Z","title_canon_sha256":"098bedb61f61072cf1d031b103121a3f36793594accd1f5043660091067e9755"},"schema_version":"1.0","source":{"id":"2212.03182","kind":"arxiv","version":1}},"canonical_sha256":"c4b4b34dd30a30b70028d31c9c9f7674a1843749687584a7fb307598b446bc8b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c4b4b34dd30a30b70028d31c9c9f7674a1843749687584a7fb307598b446bc8b","first_computed_at":"2026-07-05T05:23:04.745687Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:23:04.745687Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TiIeNZn0Fvxv0JViLPa+f00MriYtRe4RSi3wFndvOfC1hvnFcDNZxYDBSgXMO4Bv4UpG8eKGXpNtibiuyhvpDA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:23:04.746034Z","signed_message":"canonical_sha256_bytes"},"source_id":"2212.03182","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:623817fdfa7523a0e9281d4fea514874730bc84764dc9f2bcd3d3e919155d199","sha256:096cbb62b344fa4c33c9917998463a393a3442648b2e191d435b3073cc519866"],"state_sha256":"0d38af135d30d738906b46c48a773a0e8da4a79a232ec45efd3abb01e09b5417"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G719nj2+rIZKKQI4IV3NLMFJ9/liCzYDTbfI82eOfhEKWrQQxxy7hXe4yPpBaAb3fUwknPxx8H/n7xejk3/JBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T17:35:25.896900Z","bundle_sha256":"2a87084f81d5519a697363d3fb1191800e2930cca7e4c9733533c2da061d7e0b"}}