{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:B24EQX6C6MUV7Y2MGV2GSSGFLE","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":"3ab6ff18f4900816491c718abe53f16bde0d7584064aeeb9957dc47bd9ea355a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-27T09:25:50Z","title_canon_sha256":"ed0cb89c57263843c22983c5336252d23cdad7d9be5999f1744a45f3d51aebe2"},"schema_version":"1.0","source":{"id":"2505.20938","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.20938","created_at":"2026-07-05T11:10:21Z"},{"alias_kind":"arxiv_version","alias_value":"2505.20938v1","created_at":"2026-07-05T11:10:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.20938","created_at":"2026-07-05T11:10:21Z"},{"alias_kind":"pith_short_12","alias_value":"B24EQX6C6MUV","created_at":"2026-07-05T11:10:21Z"},{"alias_kind":"pith_short_16","alias_value":"B24EQX6C6MUV7Y2M","created_at":"2026-07-05T11:10:21Z"},{"alias_kind":"pith_short_8","alias_value":"B24EQX6C","created_at":"2026-07-05T11:10:21Z"}],"graph_snapshots":[{"event_id":"sha256:4e95e7c853517c818b444b98411ce549f16bd00f213595116f4923de53ca7550","target":"graph","created_at":"2026-07-05T11:10:21Z","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/2505.20938/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Partial Multi-Label Learning (PML) extends the multi-label learning paradigm to scenarios where each sample is associated with a candidate label set containing both ground-truth labels and noisy labels. Existing PML methods commonly rely on two assumptions: sparsity of the noise label matrix and low-rankness of the ground-truth label matrix. However, these assumptions are inherently conflicting and impractical for real-world scenarios, where the true label matrix is typically full-rank or close to full-rank. To address these limitations, we demonstrate that the sparsity constraint contributes ","authors_text":"Chongjie Si, Fuchao Yang, Wei Shen, Xiaokang Yang, Yidan Cui","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-27T09:25:50Z","title":"Revisiting Sparsity Constraint Under High-Rank Property in Partial Multi-Label Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.20938","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":"sha256:5a0740d5a987e7b4ecd1ad91c3663f7a817e1d76688715189ae8f7e8d0d9dd72","target":"record","created_at":"2026-07-05T11:10:21Z","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":"3ab6ff18f4900816491c718abe53f16bde0d7584064aeeb9957dc47bd9ea355a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-27T09:25:50Z","title_canon_sha256":"ed0cb89c57263843c22983c5336252d23cdad7d9be5999f1744a45f3d51aebe2"},"schema_version":"1.0","source":{"id":"2505.20938","kind":"arxiv","version":1}},"canonical_sha256":"0eb8485fc2f3295fe34c35746948c5590c6e72707797f3d11c44028d231efa5e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0eb8485fc2f3295fe34c35746948c5590c6e72707797f3d11c44028d231efa5e","first_computed_at":"2026-07-05T11:10:21.304723Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:10:21.304723Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Zv6VRxE2IKOvwpvnifBMggLaSjV69sU1BmNBOv84GJrV7uveOZ4jpWY0qGQQvNY6dfCYyY5+dNHLAte/Cv1LAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:10:21.305281Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.20938","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5a0740d5a987e7b4ecd1ad91c3663f7a817e1d76688715189ae8f7e8d0d9dd72","sha256:4e95e7c853517c818b444b98411ce549f16bd00f213595116f4923de53ca7550"],"state_sha256":"42f401fba2016c8c0c54f240cd94cd969d0f29c31d90c75c68fa70871a0977f0"}