{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:ZN35IAHFTD6LIDWE7G2O4KTQCE","short_pith_number":"pith:ZN35IAHF","canonical_record":{"source":{"id":"1701.07194","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-01-25T07:43:13Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"7ab8d5164ba248994025c7cd535aa9a085770e45a917fb45a6d933f258d3942c","abstract_canon_sha256":"0cd41c31507f15ed4ab69965a3ac4daeb0af6d7979326d219adbb4d6946f58ea"},"schema_version":"1.0"},"canonical_sha256":"cb77d400e598fcb40ec4f9b4ee2a70111252add922d04b295d85d026c46a12f9","source":{"kind":"arxiv","id":"1701.07194","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1701.07194","created_at":"2026-05-18T00:52:07Z"},{"alias_kind":"arxiv_version","alias_value":"1701.07194v1","created_at":"2026-05-18T00:52:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.07194","created_at":"2026-05-18T00:52:07Z"},{"alias_kind":"pith_short_12","alias_value":"ZN35IAHFTD6L","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_16","alias_value":"ZN35IAHFTD6LIDWE","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_8","alias_value":"ZN35IAHF","created_at":"2026-05-18T12:31:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:ZN35IAHFTD6LIDWE7G2O4KTQCE","target":"record","payload":{"canonical_record":{"source":{"id":"1701.07194","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-01-25T07:43:13Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"7ab8d5164ba248994025c7cd535aa9a085770e45a917fb45a6d933f258d3942c","abstract_canon_sha256":"0cd41c31507f15ed4ab69965a3ac4daeb0af6d7979326d219adbb4d6946f58ea"},"schema_version":"1.0"},"canonical_sha256":"cb77d400e598fcb40ec4f9b4ee2a70111252add922d04b295d85d026c46a12f9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:52:07.191012Z","signature_b64":"os9Nc/C+FzXqsHVP5IMAR47hSp0O0cMjhym4VHMHEXmjOtLCDmLnEnZ53tFWoPjiBUbMa084kFDa5iCIJc2oDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cb77d400e598fcb40ec4f9b4ee2a70111252add922d04b295d85d026c46a12f9","last_reissued_at":"2026-05-18T00:52:07.190398Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:52:07.190398Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1701.07194","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":"2026-05-18T00:52:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xs5KReQ7PVJafT+CWQjReug4gfTlhZ1qndPiQyRk5qAiKfQaqVzBX4UamOvDI3/+vF/Wa+k0Xp9Tdv4CfrJKAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T15:41:48.919190Z"},"content_sha256":"6368882516bc3f0cb771848112b21fda331f20fbb121b9db6b37ce94b97cbec8","schema_version":"1.0","event_id":"sha256:6368882516bc3f0cb771848112b21fda331f20fbb121b9db6b37ce94b97cbec8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:ZN35IAHFTD6LIDWE7G2O4KTQCE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Privileged Multi-label Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Chang Xu, Chao Xu, Dacheng Tao, Shan You, Yunhe Wang","submitted_at":"2017-01-25T07:43:13Z","abstract_excerpt":"This paper presents privileged multi-label learning (PrML) to explore and exploit the relationship between labels in multi-label learning problems. We suggest that for each individual label, it cannot only be implicitly connected with other labels via the low-rank constraint over label predictors, but also its performance on examples can receive the explicit comments from other labels together acting as an \\emph{Oracle teacher}. We generate privileged label feature for each example and its individual label, and then integrate it into the framework of low-rank based multi-label learning. The pr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.07194","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":"2026-05-18T00:52:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Po3ft8vP6Iz1KQzy7UXqfn2j5osT7X70JEh3OTfyzjYPhZUReavJ+LHAKI0+vUsrXCZaAImJNes7XGVtcuKxAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T15:41:48.919578Z"},"content_sha256":"7ecd5b4b3d777ec8d04d6ef309d5067f66b3b53237b5c509192abd1a1367680a","schema_version":"1.0","event_id":"sha256:7ecd5b4b3d777ec8d04d6ef309d5067f66b3b53237b5c509192abd1a1367680a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZN35IAHFTD6LIDWE7G2O4KTQCE/bundle.json","state_url":"https://pith.science/pith/ZN35IAHFTD6LIDWE7G2O4KTQCE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZN35IAHFTD6LIDWE7G2O4KTQCE/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":"2026-05-30T15:41:48Z","links":{"resolver":"https://pith.science/pith/ZN35IAHFTD6LIDWE7G2O4KTQCE","bundle":"https://pith.science/pith/ZN35IAHFTD6LIDWE7G2O4KTQCE/bundle.json","state":"https://pith.science/pith/ZN35IAHFTD6LIDWE7G2O4KTQCE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZN35IAHFTD6LIDWE7G2O4KTQCE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:ZN35IAHFTD6LIDWE7G2O4KTQCE","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":"0cd41c31507f15ed4ab69965a3ac4daeb0af6d7979326d219adbb4d6946f58ea","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-01-25T07:43:13Z","title_canon_sha256":"7ab8d5164ba248994025c7cd535aa9a085770e45a917fb45a6d933f258d3942c"},"schema_version":"1.0","source":{"id":"1701.07194","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1701.07194","created_at":"2026-05-18T00:52:07Z"},{"alias_kind":"arxiv_version","alias_value":"1701.07194v1","created_at":"2026-05-18T00:52:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.07194","created_at":"2026-05-18T00:52:07Z"},{"alias_kind":"pith_short_12","alias_value":"ZN35IAHFTD6L","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_16","alias_value":"ZN35IAHFTD6LIDWE","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_8","alias_value":"ZN35IAHF","created_at":"2026-05-18T12:31:59Z"}],"graph_snapshots":[{"event_id":"sha256:7ecd5b4b3d777ec8d04d6ef309d5067f66b3b53237b5c509192abd1a1367680a","target":"graph","created_at":"2026-05-18T00:52:07Z","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 paper presents privileged multi-label learning (PrML) to explore and exploit the relationship between labels in multi-label learning problems. We suggest that for each individual label, it cannot only be implicitly connected with other labels via the low-rank constraint over label predictors, but also its performance on examples can receive the explicit comments from other labels together acting as an \\emph{Oracle teacher}. We generate privileged label feature for each example and its individual label, and then integrate it into the framework of low-rank based multi-label learning. The pr","authors_text":"Chang Xu, Chao Xu, Dacheng Tao, Shan You, Yunhe Wang","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-01-25T07:43:13Z","title":"Privileged Multi-label Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.07194","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":"sha256:6368882516bc3f0cb771848112b21fda331f20fbb121b9db6b37ce94b97cbec8","target":"record","created_at":"2026-05-18T00:52:07Z","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":"0cd41c31507f15ed4ab69965a3ac4daeb0af6d7979326d219adbb4d6946f58ea","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-01-25T07:43:13Z","title_canon_sha256":"7ab8d5164ba248994025c7cd535aa9a085770e45a917fb45a6d933f258d3942c"},"schema_version":"1.0","source":{"id":"1701.07194","kind":"arxiv","version":1}},"canonical_sha256":"cb77d400e598fcb40ec4f9b4ee2a70111252add922d04b295d85d026c46a12f9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cb77d400e598fcb40ec4f9b4ee2a70111252add922d04b295d85d026c46a12f9","first_computed_at":"2026-05-18T00:52:07.190398Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:52:07.190398Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"os9Nc/C+FzXqsHVP5IMAR47hSp0O0cMjhym4VHMHEXmjOtLCDmLnEnZ53tFWoPjiBUbMa084kFDa5iCIJc2oDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:52:07.191012Z","signed_message":"canonical_sha256_bytes"},"source_id":"1701.07194","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6368882516bc3f0cb771848112b21fda331f20fbb121b9db6b37ce94b97cbec8","sha256:7ecd5b4b3d777ec8d04d6ef309d5067f66b3b53237b5c509192abd1a1367680a"],"state_sha256":"21563ea6612a705459ffc74c0a6042a5599fbe92fe31e40becb8290f5f5d14e3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NBMgWgt/tYcKnXpxKqDI/l6attUcGg69UB+VTk7t1agtHDD3ZAB0+8PUhEywHpDx5HYKsjXIMagpElpt0rWRCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T15:41:48.921890Z","bundle_sha256":"0a88ce61199fc6c30dc4c3f622d2fd4e0f5e1334fdadb70832a35e980b6e13d5"}}