{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:PD5Z3R5TOBI5EP3NWR5XRFKEXG","short_pith_number":"pith:PD5Z3R5T","canonical_record":{"source":{"id":"1608.00619","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-08-01T21:13:12Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"ae601d0e079b0e28f207eb42de6469de812ae3437ba614369f8b1a10c032febd","abstract_canon_sha256":"ad844798c8286bfb23d525c33ce47e4aae4d17bcf5f6ae11d8c99832a35ca2bf"},"schema_version":"1.0"},"canonical_sha256":"78fb9dc7b37051d23f6db47b789544b9842547673a6dff47c051e087c4cca66c","source":{"kind":"arxiv","id":"1608.00619","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.00619","created_at":"2026-05-18T01:02:37Z"},{"alias_kind":"arxiv_version","alias_value":"1608.00619v2","created_at":"2026-05-18T01:02:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.00619","created_at":"2026-05-18T01:02:37Z"},{"alias_kind":"pith_short_12","alias_value":"PD5Z3R5TOBI5","created_at":"2026-05-18T12:30:39Z"},{"alias_kind":"pith_short_16","alias_value":"PD5Z3R5TOBI5EP3N","created_at":"2026-05-18T12:30:39Z"},{"alias_kind":"pith_short_8","alias_value":"PD5Z3R5T","created_at":"2026-05-18T12:30:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:PD5Z3R5TOBI5EP3NWR5XRFKEXG","target":"record","payload":{"canonical_record":{"source":{"id":"1608.00619","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-08-01T21:13:12Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"ae601d0e079b0e28f207eb42de6469de812ae3437ba614369f8b1a10c032febd","abstract_canon_sha256":"ad844798c8286bfb23d525c33ce47e4aae4d17bcf5f6ae11d8c99832a35ca2bf"},"schema_version":"1.0"},"canonical_sha256":"78fb9dc7b37051d23f6db47b789544b9842547673a6dff47c051e087c4cca66c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:02:37.464628Z","signature_b64":"Sh/PPwkotGKpVKOlA63hkCyCBa4OwF5AykN3TIXTa96f2nNGNNrkHgPbgMpSXJ3A99K7DSuhsSnSPrhz6sM5Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"78fb9dc7b37051d23f6db47b789544b9842547673a6dff47c051e087c4cca66c","last_reissued_at":"2026-05-18T01:02:37.463873Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:02:37.463873Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1608.00619","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:02:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7m6VaMQV+GbqGPB8Bo+/Tg34VVb1XV7Olk3A8Jww1/sX2HlCgVMGbNIKFyp0fBnC0ShNZdShxGb3V51t8xn2BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T01:24:51.196545Z"},"content_sha256":"01469c6ac67f0c87d4838ce164c278c7953a9823d350fcbfa97a3f8e006efab8","schema_version":"1.0","event_id":"sha256:01469c6ac67f0c87d4838ce164c278c7953a9823d350fcbfa97a3f8e006efab8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:PD5Z3R5TOBI5EP3NWR5XRFKEXG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Recursion-Free Online Multiple Incremental/Decremental Analysis Based on Ridge Support Vector Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Bo-Wei Chen","submitted_at":"2016-08-01T21:13:12Z","abstract_excerpt":"This study presents a rapid multiple incremental and decremental mechanism based on Weight-Error Curves (WECs) for support-vector analysis. Recursion-free computation is proposed for predicting the Lagrangian multipliers of new samples. This study examines Ridge Support Vector Models, subsequently devising a recursion-free function derived from WECs. With the proposed function, all the new Lagrangian multipliers can be computed at once without using any gradual step sizes. Moreover, such a function relaxes a constraint, where the increment of new multiple Lagrangian multipliers should be the s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.00619","kind":"arxiv","version":2},"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":"2026-05-18T01:02:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"63bfHLYIspeU3PRdJiW58x1KZx8pTZpULKZppvTUYO5Id/IobpXDZnpjRlGZ3zpJhU6DjN1AtdfqI2fjrv2rCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T01:24:51.197174Z"},"content_sha256":"8dc8b9fca9a9a975d54af573566b90de0e22fca61384d094db16c2ed591e833d","schema_version":"1.0","event_id":"sha256:8dc8b9fca9a9a975d54af573566b90de0e22fca61384d094db16c2ed591e833d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PD5Z3R5TOBI5EP3NWR5XRFKEXG/bundle.json","state_url":"https://pith.science/pith/PD5Z3R5TOBI5EP3NWR5XRFKEXG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PD5Z3R5TOBI5EP3NWR5XRFKEXG/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":"2026-06-05T01:24:51Z","links":{"resolver":"https://pith.science/pith/PD5Z3R5TOBI5EP3NWR5XRFKEXG","bundle":"https://pith.science/pith/PD5Z3R5TOBI5EP3NWR5XRFKEXG/bundle.json","state":"https://pith.science/pith/PD5Z3R5TOBI5EP3NWR5XRFKEXG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PD5Z3R5TOBI5EP3NWR5XRFKEXG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:PD5Z3R5TOBI5EP3NWR5XRFKEXG","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":"ad844798c8286bfb23d525c33ce47e4aae4d17bcf5f6ae11d8c99832a35ca2bf","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-08-01T21:13:12Z","title_canon_sha256":"ae601d0e079b0e28f207eb42de6469de812ae3437ba614369f8b1a10c032febd"},"schema_version":"1.0","source":{"id":"1608.00619","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.00619","created_at":"2026-05-18T01:02:37Z"},{"alias_kind":"arxiv_version","alias_value":"1608.00619v2","created_at":"2026-05-18T01:02:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.00619","created_at":"2026-05-18T01:02:37Z"},{"alias_kind":"pith_short_12","alias_value":"PD5Z3R5TOBI5","created_at":"2026-05-18T12:30:39Z"},{"alias_kind":"pith_short_16","alias_value":"PD5Z3R5TOBI5EP3N","created_at":"2026-05-18T12:30:39Z"},{"alias_kind":"pith_short_8","alias_value":"PD5Z3R5T","created_at":"2026-05-18T12:30:39Z"}],"graph_snapshots":[{"event_id":"sha256:8dc8b9fca9a9a975d54af573566b90de0e22fca61384d094db16c2ed591e833d","target":"graph","created_at":"2026-05-18T01:02:37Z","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":"This study presents a rapid multiple incremental and decremental mechanism based on Weight-Error Curves (WECs) for support-vector analysis. Recursion-free computation is proposed for predicting the Lagrangian multipliers of new samples. This study examines Ridge Support Vector Models, subsequently devising a recursion-free function derived from WECs. With the proposed function, all the new Lagrangian multipliers can be computed at once without using any gradual step sizes. Moreover, such a function relaxes a constraint, where the increment of new multiple Lagrangian multipliers should be the s","authors_text":"Bo-Wei Chen","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-08-01T21:13:12Z","title":"Recursion-Free Online Multiple Incremental/Decremental Analysis Based on Ridge Support Vector Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.00619","kind":"arxiv","version":2},"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":"sha256:01469c6ac67f0c87d4838ce164c278c7953a9823d350fcbfa97a3f8e006efab8","target":"record","created_at":"2026-05-18T01:02:37Z","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":"ad844798c8286bfb23d525c33ce47e4aae4d17bcf5f6ae11d8c99832a35ca2bf","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-08-01T21:13:12Z","title_canon_sha256":"ae601d0e079b0e28f207eb42de6469de812ae3437ba614369f8b1a10c032febd"},"schema_version":"1.0","source":{"id":"1608.00619","kind":"arxiv","version":2}},"canonical_sha256":"78fb9dc7b37051d23f6db47b789544b9842547673a6dff47c051e087c4cca66c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"78fb9dc7b37051d23f6db47b789544b9842547673a6dff47c051e087c4cca66c","first_computed_at":"2026-05-18T01:02:37.463873Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:02:37.463873Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Sh/PPwkotGKpVKOlA63hkCyCBa4OwF5AykN3TIXTa96f2nNGNNrkHgPbgMpSXJ3A99K7DSuhsSnSPrhz6sM5Bw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:02:37.464628Z","signed_message":"canonical_sha256_bytes"},"source_id":"1608.00619","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:01469c6ac67f0c87d4838ce164c278c7953a9823d350fcbfa97a3f8e006efab8","sha256:8dc8b9fca9a9a975d54af573566b90de0e22fca61384d094db16c2ed591e833d"],"state_sha256":"410e72ca217878313959a41145507cb741ebb6f6bc6921f2f831c9662c73709f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6u6fWDeu2wFwVDG8hnH6F1X/qy9YoOZxzOMml+n2KeMb6OK68lGGACNf0U9tM7djQzCZbOxrpLPbYCPpjrPCCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T01:24:51.200428Z","bundle_sha256":"90cef84ffee2eef601c092b73dab414cf4149b8a7b28f46f169200c9c2feb2d7"}}