{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:4BDBMHSY43K2S4YRIIB4IXZD47","short_pith_number":"pith:4BDBMHSY","canonical_record":{"source":{"id":"1608.01874","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-08-05T13:19:47Z","cross_cats_sorted":[],"title_canon_sha256":"214022fe865cad6e1fadbfdce10b19737916a9c94956720411d33646aa0b9a9e","abstract_canon_sha256":"888aa52c003357203ded59bddc6f039064fb5937dd4e279c8041f13f11da4cf6"},"schema_version":"1.0"},"canonical_sha256":"e046161e58e6d5a973114203c45f23e7d7c1b4d2ec9f63c990aace1d0f0f7ddc","source":{"kind":"arxiv","id":"1608.01874","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.01874","created_at":"2026-05-18T01:09:44Z"},{"alias_kind":"arxiv_version","alias_value":"1608.01874v1","created_at":"2026-05-18T01:09:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.01874","created_at":"2026-05-18T01:09:44Z"},{"alias_kind":"pith_short_12","alias_value":"4BDBMHSY43K2","created_at":"2026-05-18T12:29:58Z"},{"alias_kind":"pith_short_16","alias_value":"4BDBMHSY43K2S4YR","created_at":"2026-05-18T12:29:58Z"},{"alias_kind":"pith_short_8","alias_value":"4BDBMHSY","created_at":"2026-05-18T12:29:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:4BDBMHSY43K2S4YRIIB4IXZD47","target":"record","payload":{"canonical_record":{"source":{"id":"1608.01874","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-08-05T13:19:47Z","cross_cats_sorted":[],"title_canon_sha256":"214022fe865cad6e1fadbfdce10b19737916a9c94956720411d33646aa0b9a9e","abstract_canon_sha256":"888aa52c003357203ded59bddc6f039064fb5937dd4e279c8041f13f11da4cf6"},"schema_version":"1.0"},"canonical_sha256":"e046161e58e6d5a973114203c45f23e7d7c1b4d2ec9f63c990aace1d0f0f7ddc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:09:44.373638Z","signature_b64":"rpXY404HZUcvXa6aIjG/jjkFIW/r2WhL2z1dMQnQNcBK2Zf+pRvm1jL64Qw2aZ2F+5bHqrupZhgLsIbXamT4CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e046161e58e6d5a973114203c45f23e7d7c1b4d2ec9f63c990aace1d0f0f7ddc","last_reissued_at":"2026-05-18T01:09:44.373010Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:09:44.373010Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1608.01874","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":"2026-05-18T01:09:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xuVlLDcy0rOIzQGZFewOCmabQBMSmmz6xbPymAnieLlcBLPXU3dqT8m4XJdd24maFwhHGmUoeF3qZ/WXOymHDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T14:55:55.119455Z"},"content_sha256":"6f36283d78ecab12fa74092681a29ea5c7a234ce40006775f01f8692bf8cd541","schema_version":"1.0","event_id":"sha256:6f36283d78ecab12fa74092681a29ea5c7a234ce40006775f01f8692bf8cd541"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:4BDBMHSY43K2S4YRIIB4IXZD47","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Forward Stagewise Additive Model for Collaborative Multiview Boosting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Avisek Lahiri, Biswajit Paria, Prabir Kumar Biswas","submitted_at":"2016-08-05T13:19:47Z","abstract_excerpt":"Multiview assisted learning has gained significant attention in recent years in supervised learning genre. Availability of high performance computing devices enables learning algorithms to search simultaneously over multiple views or feature spaces to obtain an optimum classification performance. The paper is a pioneering attempt of formulating a mathematical foundation for realizing a multiview aided collaborative boosting architecture for multiclass classification. Most of the present algorithms apply multiview learning heuristically without exploring the fundamental mathematical changes imp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.01874","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":"2026-05-18T01:09:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UadGGymbCEVSpZYuNgfrpt7haY63/fHGVK6YjAbSJNj3qRqXHf+cY0UtlA7q8adzwuzqw9l7DKEZJKP+RU41Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T14:55:55.119796Z"},"content_sha256":"7f117776671e45c485fe08fd032d6b4aa949ae0e06b2feb7c842567254a6c235","schema_version":"1.0","event_id":"sha256:7f117776671e45c485fe08fd032d6b4aa949ae0e06b2feb7c842567254a6c235"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4BDBMHSY43K2S4YRIIB4IXZD47/bundle.json","state_url":"https://pith.science/pith/4BDBMHSY43K2S4YRIIB4IXZD47/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4BDBMHSY43K2S4YRIIB4IXZD47/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":"2026-06-08T14:55:55Z","links":{"resolver":"https://pith.science/pith/4BDBMHSY43K2S4YRIIB4IXZD47","bundle":"https://pith.science/pith/4BDBMHSY43K2S4YRIIB4IXZD47/bundle.json","state":"https://pith.science/pith/4BDBMHSY43K2S4YRIIB4IXZD47/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4BDBMHSY43K2S4YRIIB4IXZD47/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:4BDBMHSY43K2S4YRIIB4IXZD47","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":"888aa52c003357203ded59bddc6f039064fb5937dd4e279c8041f13f11da4cf6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-08-05T13:19:47Z","title_canon_sha256":"214022fe865cad6e1fadbfdce10b19737916a9c94956720411d33646aa0b9a9e"},"schema_version":"1.0","source":{"id":"1608.01874","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.01874","created_at":"2026-05-18T01:09:44Z"},{"alias_kind":"arxiv_version","alias_value":"1608.01874v1","created_at":"2026-05-18T01:09:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.01874","created_at":"2026-05-18T01:09:44Z"},{"alias_kind":"pith_short_12","alias_value":"4BDBMHSY43K2","created_at":"2026-05-18T12:29:58Z"},{"alias_kind":"pith_short_16","alias_value":"4BDBMHSY43K2S4YR","created_at":"2026-05-18T12:29:58Z"},{"alias_kind":"pith_short_8","alias_value":"4BDBMHSY","created_at":"2026-05-18T12:29:58Z"}],"graph_snapshots":[{"event_id":"sha256:7f117776671e45c485fe08fd032d6b4aa949ae0e06b2feb7c842567254a6c235","target":"graph","created_at":"2026-05-18T01:09:44Z","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":"Multiview assisted learning has gained significant attention in recent years in supervised learning genre. Availability of high performance computing devices enables learning algorithms to search simultaneously over multiple views or feature spaces to obtain an optimum classification performance. The paper is a pioneering attempt of formulating a mathematical foundation for realizing a multiview aided collaborative boosting architecture for multiclass classification. Most of the present algorithms apply multiview learning heuristically without exploring the fundamental mathematical changes imp","authors_text":"Avisek Lahiri, Biswajit Paria, Prabir Kumar Biswas","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-08-05T13:19:47Z","title":"Forward Stagewise Additive Model for Collaborative Multiview Boosting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.01874","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":"sha256:6f36283d78ecab12fa74092681a29ea5c7a234ce40006775f01f8692bf8cd541","target":"record","created_at":"2026-05-18T01:09:44Z","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":"888aa52c003357203ded59bddc6f039064fb5937dd4e279c8041f13f11da4cf6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-08-05T13:19:47Z","title_canon_sha256":"214022fe865cad6e1fadbfdce10b19737916a9c94956720411d33646aa0b9a9e"},"schema_version":"1.0","source":{"id":"1608.01874","kind":"arxiv","version":1}},"canonical_sha256":"e046161e58e6d5a973114203c45f23e7d7c1b4d2ec9f63c990aace1d0f0f7ddc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e046161e58e6d5a973114203c45f23e7d7c1b4d2ec9f63c990aace1d0f0f7ddc","first_computed_at":"2026-05-18T01:09:44.373010Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:09:44.373010Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rpXY404HZUcvXa6aIjG/jjkFIW/r2WhL2z1dMQnQNcBK2Zf+pRvm1jL64Qw2aZ2F+5bHqrupZhgLsIbXamT4CA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:09:44.373638Z","signed_message":"canonical_sha256_bytes"},"source_id":"1608.01874","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6f36283d78ecab12fa74092681a29ea5c7a234ce40006775f01f8692bf8cd541","sha256:7f117776671e45c485fe08fd032d6b4aa949ae0e06b2feb7c842567254a6c235"],"state_sha256":"592b27253af416589966a684efe661e0866da148fdca80b4a22290f8c48fafcd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Elk/4LG15mo0bscZ8zhXgfzviDVRb7IT0uJjyL7XAQNzUIgGqVYpAvQUTNI6jUFIqWK2dmRoVBEokFIm7ZvUDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-08T14:55:55.121663Z","bundle_sha256":"8d7367012ac0842318acf578185a88625f4e2396b50cd94f397bdaefb5de89a1"}}