{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:3WIWSWT7NJAO4OXIIRQD2C6XDG","short_pith_number":"pith:3WIWSWT7","canonical_record":{"source":{"id":"1904.11228","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2019-04-25T09:21:31Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"3cbf36baac44d3fdc004bc0808cf904104369d50a37d176cf9370de3168ef007","abstract_canon_sha256":"52adad6a642af2bbc0cb4489524f26fbd0ddc16890b4761b475de8cbb2338678"},"schema_version":"1.0"},"canonical_sha256":"dd91695a7f6a40ee3ae844603d0bd719befadbd7b75ead7aa9363c792d50614d","source":{"kind":"arxiv","id":"1904.11228","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.11228","created_at":"2026-05-17T23:47:45Z"},{"alias_kind":"arxiv_version","alias_value":"1904.11228v1","created_at":"2026-05-17T23:47:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.11228","created_at":"2026-05-17T23:47:45Z"},{"alias_kind":"pith_short_12","alias_value":"3WIWSWT7NJAO","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"3WIWSWT7NJAO4OXI","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"3WIWSWT7","created_at":"2026-05-18T12:33:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:3WIWSWT7NJAO4OXIIRQD2C6XDG","target":"record","payload":{"canonical_record":{"source":{"id":"1904.11228","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2019-04-25T09:21:31Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"3cbf36baac44d3fdc004bc0808cf904104369d50a37d176cf9370de3168ef007","abstract_canon_sha256":"52adad6a642af2bbc0cb4489524f26fbd0ddc16890b4761b475de8cbb2338678"},"schema_version":"1.0"},"canonical_sha256":"dd91695a7f6a40ee3ae844603d0bd719befadbd7b75ead7aa9363c792d50614d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:47:45.457823Z","signature_b64":"Rl+yeqW4dGB53wWkc9DTmj90QAEDVLSklADH4vdAdmh/JRGpSVf+IRS+gjRYF2YgOY4Z70fPQbZNFFU/T27yAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dd91695a7f6a40ee3ae844603d0bd719befadbd7b75ead7aa9363c792d50614d","last_reissued_at":"2026-05-17T23:47:45.457323Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:47:45.457323Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.11228","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":"2026-05-17T23:47:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CmgiHKphqBoPTvtD6cU+lUBNajEqMqhsQE1UVHPAnyXTz9dYqcerrZwMDnLTbCJNw6JqMvq+OTRI5PQVZMsaBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-19T19:23:12.347310Z"},"content_sha256":"47bd899099e3eff1245bf76699d4e341a3882e6365059bf9fa518212be102b19","schema_version":"1.0","event_id":"sha256:47bd899099e3eff1245bf76699d4e341a3882e6365059bf9fa518212be102b19"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:3WIWSWT7NJAO4OXIIRQD2C6XDG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.IR","authors_text":"Jingjing Li, Lei Zhu, Xiao Dong, Xuemeng Song, Zhiyong Cheng","submitted_at":"2019-04-25T09:21:31Z","abstract_excerpt":"In this paper, we investigate the research problem of unsupervised multi-view feature selection. Conventional solutions first simply combine multiple pre-constructed view-specific similarity structures into a collaborative similarity structure, and then perform the subsequent feature selection. These two processes are separate and independent. The collaborative similarity structure remains fixed during feature selection. Further, the simple undirected view combination may adversely reduce the reliability of the ultimate similarity structure for feature selection, as the view-specific similarit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.11228","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":""},"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":"2026-05-17T23:47:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zq0AbSdI10ZA5ICEtumEuUL2s9xAynN6fmQjD0iluwgfFX6wnrCuRb/Dxpl6U0y572VlXBPL0ByWy8X2C4KyCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-19T19:23:12.348171Z"},"content_sha256":"bf8f99395f86b3960ac352bfe6393a0635593eef8d0acafa2cffa31d344e9e1d","schema_version":"1.0","event_id":"sha256:bf8f99395f86b3960ac352bfe6393a0635593eef8d0acafa2cffa31d344e9e1d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3WIWSWT7NJAO4OXIIRQD2C6XDG/bundle.json","state_url":"https://pith.science/pith/3WIWSWT7NJAO4OXIIRQD2C6XDG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3WIWSWT7NJAO4OXIIRQD2C6XDG/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":"2026-05-19T19:23:12Z","links":{"resolver":"https://pith.science/pith/3WIWSWT7NJAO4OXIIRQD2C6XDG","bundle":"https://pith.science/pith/3WIWSWT7NJAO4OXIIRQD2C6XDG/bundle.json","state":"https://pith.science/pith/3WIWSWT7NJAO4OXIIRQD2C6XDG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3WIWSWT7NJAO4OXIIRQD2C6XDG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:3WIWSWT7NJAO4OXIIRQD2C6XDG","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":"52adad6a642af2bbc0cb4489524f26fbd0ddc16890b4761b475de8cbb2338678","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2019-04-25T09:21:31Z","title_canon_sha256":"3cbf36baac44d3fdc004bc0808cf904104369d50a37d176cf9370de3168ef007"},"schema_version":"1.0","source":{"id":"1904.11228","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.11228","created_at":"2026-05-17T23:47:45Z"},{"alias_kind":"arxiv_version","alias_value":"1904.11228v1","created_at":"2026-05-17T23:47:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.11228","created_at":"2026-05-17T23:47:45Z"},{"alias_kind":"pith_short_12","alias_value":"3WIWSWT7NJAO","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"3WIWSWT7NJAO4OXI","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"3WIWSWT7","created_at":"2026-05-18T12:33:10Z"}],"graph_snapshots":[{"event_id":"sha256:bf8f99395f86b3960ac352bfe6393a0635593eef8d0acafa2cffa31d344e9e1d","target":"graph","created_at":"2026-05-17T23:47:45Z","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"},"paper":{"abstract_excerpt":"In this paper, we investigate the research problem of unsupervised multi-view feature selection. Conventional solutions first simply combine multiple pre-constructed view-specific similarity structures into a collaborative similarity structure, and then perform the subsequent feature selection. These two processes are separate and independent. The collaborative similarity structure remains fixed during feature selection. Further, the simple undirected view combination may adversely reduce the reliability of the ultimate similarity structure for feature selection, as the view-specific similarit","authors_text":"Jingjing Li, Lei Zhu, Xiao Dong, Xuemeng Song, Zhiyong Cheng","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2019-04-25T09:21:31Z","title":"Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.11228","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":"sha256:47bd899099e3eff1245bf76699d4e341a3882e6365059bf9fa518212be102b19","target":"record","created_at":"2026-05-17T23:47:45Z","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":"52adad6a642af2bbc0cb4489524f26fbd0ddc16890b4761b475de8cbb2338678","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2019-04-25T09:21:31Z","title_canon_sha256":"3cbf36baac44d3fdc004bc0808cf904104369d50a37d176cf9370de3168ef007"},"schema_version":"1.0","source":{"id":"1904.11228","kind":"arxiv","version":1}},"canonical_sha256":"dd91695a7f6a40ee3ae844603d0bd719befadbd7b75ead7aa9363c792d50614d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dd91695a7f6a40ee3ae844603d0bd719befadbd7b75ead7aa9363c792d50614d","first_computed_at":"2026-05-17T23:47:45.457323Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:47:45.457323Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Rl+yeqW4dGB53wWkc9DTmj90QAEDVLSklADH4vdAdmh/JRGpSVf+IRS+gjRYF2YgOY4Z70fPQbZNFFU/T27yAw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:47:45.457823Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.11228","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:47bd899099e3eff1245bf76699d4e341a3882e6365059bf9fa518212be102b19","sha256:bf8f99395f86b3960ac352bfe6393a0635593eef8d0acafa2cffa31d344e9e1d"],"state_sha256":"f2d2799ed6e3726f7d6605b05e14cb1c3f63a22d918dcb6bd30eab4076f48183"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gqA2mbh4nCmNTQhYgR9GuET+TdnRY3LM1lkVNoy5W3VseSs1V232RpB4oAF5m9SlMd49U1U7q9h1ZvnpTxNGCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-19T19:23:12.352045Z","bundle_sha256":"d4e75eef5a129cfa4ef16818aa9d85ed97cdbff51e882746c1d37e2dec35ee59"}}