{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:PUY3M3RNUHEZ3SUVOL4XLCYVWK","short_pith_number":"pith:PUY3M3RN","canonical_record":{"source":{"id":"2004.05849","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-04-13T10:04:25Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"a2bea96907c5ae74b4cdfe301b6d3a3cec3735d5ddadab5d2ba7a870d804f2a2","abstract_canon_sha256":"e31f7713efb104597ef87b04c078231f2480e7eeef0a9e56faa2094e42476bc3"},"schema_version":"1.0"},"canonical_sha256":"7d31b66e2da1c99dca9572f9758b15b2924fb6455ef4848647dc268599411ba0","source":{"kind":"arxiv","id":"2004.05849","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.05849","created_at":"2026-07-05T00:54:41Z"},{"alias_kind":"arxiv_version","alias_value":"2004.05849v1","created_at":"2026-07-05T00:54:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.05849","created_at":"2026-07-05T00:54:41Z"},{"alias_kind":"pith_short_12","alias_value":"PUY3M3RNUHEZ","created_at":"2026-07-05T00:54:41Z"},{"alias_kind":"pith_short_16","alias_value":"PUY3M3RNUHEZ3SUV","created_at":"2026-07-05T00:54:41Z"},{"alias_kind":"pith_short_8","alias_value":"PUY3M3RN","created_at":"2026-07-05T00:54:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:PUY3M3RNUHEZ3SUVOL4XLCYVWK","target":"record","payload":{"canonical_record":{"source":{"id":"2004.05849","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-04-13T10:04:25Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"a2bea96907c5ae74b4cdfe301b6d3a3cec3735d5ddadab5d2ba7a870d804f2a2","abstract_canon_sha256":"e31f7713efb104597ef87b04c078231f2480e7eeef0a9e56faa2094e42476bc3"},"schema_version":"1.0"},"canonical_sha256":"7d31b66e2da1c99dca9572f9758b15b2924fb6455ef4848647dc268599411ba0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:54:41.620912Z","signature_b64":"LHNbNeBv4NyQINwNgUCfUGnjdRAuIspWrcACtBFxwHWDK5ZzHD1IDO9AKnLcMw0eTF+jFuSb5J404pfoT70DAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7d31b66e2da1c99dca9572f9758b15b2924fb6455ef4848647dc268599411ba0","last_reissued_at":"2026-07-05T00:54:41.620561Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:54:41.620561Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2004.05849","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":"2026-07-05T00:54:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UqjHO5HzGnb02JX4h/xinieTIav2vPnZFehlRvbTcC9DN4IIxFzG+fhx5U7qlzPD9bWePLBX0sq06bfnXXjnCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T11:23:51.793012Z"},"content_sha256":"73907fb5a9b03de1a9af82593d45317f245a90b5f0963fe453eee76b268ec2b9","schema_version":"1.0","event_id":"sha256:73907fb5a9b03de1a9af82593d45317f245a90b5f0963fe453eee76b268ec2b9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:PUY3M3RNUHEZ3SUVOL4XLCYVWK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MLPSVM:A new parallel support vector machine to multi-label learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Jia Lu, Tingting Li, Yanghong Liu","submitted_at":"2020-04-13T10:04:25Z","abstract_excerpt":"Multi-label learning has attracted the attention of the machine learning community. The problem conversion method Binary Relevance converts a familiar single label into a multi-label algorithm. The binary relevance method is widely used because of its simple structure and efficient algorithm. But binary relevance does not consider the links between labels, making it cumbersome to handle some tasks. This paper proposes a multi-label learning algorithm that can also be used for single-label classification. It is based on standard support vector machines and changes the original single decision h"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.05849","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/2004.05849/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":"2026-07-05T00:54:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+dPwG0uLwcx0my2DufKIUWkDyOeHLro0PhtKjp5jnQlQwK6VgVrVnXXblPPHh31ldgoR+MCjJKHUgG6y7tzHBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T11:23:51.793888Z"},"content_sha256":"a97315bfa606ea3c06d1a1607942bec435dc37afa06ccd94c1c868a363f31340","schema_version":"1.0","event_id":"sha256:a97315bfa606ea3c06d1a1607942bec435dc37afa06ccd94c1c868a363f31340"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PUY3M3RNUHEZ3SUVOL4XLCYVWK/bundle.json","state_url":"https://pith.science/pith/PUY3M3RNUHEZ3SUVOL4XLCYVWK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PUY3M3RNUHEZ3SUVOL4XLCYVWK/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":"2026-08-04T11:23:51Z","links":{"resolver":"https://pith.science/pith/PUY3M3RNUHEZ3SUVOL4XLCYVWK","bundle":"https://pith.science/pith/PUY3M3RNUHEZ3SUVOL4XLCYVWK/bundle.json","state":"https://pith.science/pith/PUY3M3RNUHEZ3SUVOL4XLCYVWK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PUY3M3RNUHEZ3SUVOL4XLCYVWK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:PUY3M3RNUHEZ3SUVOL4XLCYVWK","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":"e31f7713efb104597ef87b04c078231f2480e7eeef0a9e56faa2094e42476bc3","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-04-13T10:04:25Z","title_canon_sha256":"a2bea96907c5ae74b4cdfe301b6d3a3cec3735d5ddadab5d2ba7a870d804f2a2"},"schema_version":"1.0","source":{"id":"2004.05849","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.05849","created_at":"2026-07-05T00:54:41Z"},{"alias_kind":"arxiv_version","alias_value":"2004.05849v1","created_at":"2026-07-05T00:54:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.05849","created_at":"2026-07-05T00:54:41Z"},{"alias_kind":"pith_short_12","alias_value":"PUY3M3RNUHEZ","created_at":"2026-07-05T00:54:41Z"},{"alias_kind":"pith_short_16","alias_value":"PUY3M3RNUHEZ3SUV","created_at":"2026-07-05T00:54:41Z"},{"alias_kind":"pith_short_8","alias_value":"PUY3M3RN","created_at":"2026-07-05T00:54:41Z"}],"graph_snapshots":[{"event_id":"sha256:a97315bfa606ea3c06d1a1607942bec435dc37afa06ccd94c1c868a363f31340","target":"graph","created_at":"2026-07-05T00:54:41Z","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/2004.05849/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-label learning has attracted the attention of the machine learning community. The problem conversion method Binary Relevance converts a familiar single label into a multi-label algorithm. The binary relevance method is widely used because of its simple structure and efficient algorithm. But binary relevance does not consider the links between labels, making it cumbersome to handle some tasks. This paper proposes a multi-label learning algorithm that can also be used for single-label classification. It is based on standard support vector machines and changes the original single decision h","authors_text":"Jia Lu, Tingting Li, Yanghong Liu","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-04-13T10:04:25Z","title":"MLPSVM:A new parallel support vector machine to multi-label learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.05849","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":"sha256:73907fb5a9b03de1a9af82593d45317f245a90b5f0963fe453eee76b268ec2b9","target":"record","created_at":"2026-07-05T00:54:41Z","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":"e31f7713efb104597ef87b04c078231f2480e7eeef0a9e56faa2094e42476bc3","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-04-13T10:04:25Z","title_canon_sha256":"a2bea96907c5ae74b4cdfe301b6d3a3cec3735d5ddadab5d2ba7a870d804f2a2"},"schema_version":"1.0","source":{"id":"2004.05849","kind":"arxiv","version":1}},"canonical_sha256":"7d31b66e2da1c99dca9572f9758b15b2924fb6455ef4848647dc268599411ba0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7d31b66e2da1c99dca9572f9758b15b2924fb6455ef4848647dc268599411ba0","first_computed_at":"2026-07-05T00:54:41.620561Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:54:41.620561Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LHNbNeBv4NyQINwNgUCfUGnjdRAuIspWrcACtBFxwHWDK5ZzHD1IDO9AKnLcMw0eTF+jFuSb5J404pfoT70DAA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:54:41.620912Z","signed_message":"canonical_sha256_bytes"},"source_id":"2004.05849","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:73907fb5a9b03de1a9af82593d45317f245a90b5f0963fe453eee76b268ec2b9","sha256:a97315bfa606ea3c06d1a1607942bec435dc37afa06ccd94c1c868a363f31340"],"state_sha256":"e82007d830675b3b166e57f23107f770cdc9743c58de792a86734699f351edb9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DcVyMX7lEy1GIa3M06FWwyZ2WGSRyIuff6dgxMuylB0FNQoYp586BumYArLFgTy1wxImU6dIO6mzA5mNtKuFBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T11:23:51.800553Z","bundle_sha256":"b43da92e375da3b07b005e44d27fd15e6c6b874860045041ff1c1e7966980126"}}