{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:PWRC2VIRCZGSSD2XKLUPT4DJKT","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":"18b849b5cd877f24a87f753aba7caca70bbd91c1b8e7062b2ca30113ea0e1b94","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-05-27T13:59:08Z","title_canon_sha256":"33eb176ccd3a52d90eae1cfb6425f446580157915ef3578bf8ce0fd877263566"},"schema_version":"1.0","source":{"id":"1905.11233","kind":"arxiv","version":10}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.11233","created_at":"2026-07-05T01:39:53Z"},{"alias_kind":"arxiv_version","alias_value":"1905.11233v10","created_at":"2026-07-05T01:39:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.11233","created_at":"2026-07-05T01:39:53Z"},{"alias_kind":"pith_short_12","alias_value":"PWRC2VIRCZGS","created_at":"2026-07-05T01:39:53Z"},{"alias_kind":"pith_short_16","alias_value":"PWRC2VIRCZGSSD2X","created_at":"2026-07-05T01:39:53Z"},{"alias_kind":"pith_short_8","alias_value":"PWRC2VIR","created_at":"2026-07-05T01:39:53Z"}],"graph_snapshots":[{"event_id":"sha256:ecbc5397aeea0fb9cecf0f65b321a055c034dd958316d37d7f9154552270086e","target":"graph","created_at":"2026-07-05T01:39:53Z","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/1905.11233/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Real-world large-scale datasets usually contain noisy labels and are imbalanced. Therefore, we propose derivative manipulation (DM), a novel and general example weighting approach for training robust deep models under these adverse conditions.\n  DM has two main merits. First, loss function and example weighting are common techniques in the literature. DM reveals their connection (a loss function does example weighting) and is a replacement of both. Second, despite that a loss defines an example weighting scheme by its derivative, in the loss design, we need to consider whether it is differenti","authors_text":"Elyor Kodirov, Neil M. Robertson, Xinshao Wang, Yang Hua","cross_cats":["cs.CV","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-05-27T13:59:08Z","title":"Derivative Manipulation for General Example Weighting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.11233","kind":"arxiv","version":10},"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":"sha256:2b95bcde8984375d6b1ece9416bc41a926dd2cad91c625939460db230ecdd80a","target":"record","created_at":"2026-07-05T01:39:53Z","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":"18b849b5cd877f24a87f753aba7caca70bbd91c1b8e7062b2ca30113ea0e1b94","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-05-27T13:59:08Z","title_canon_sha256":"33eb176ccd3a52d90eae1cfb6425f446580157915ef3578bf8ce0fd877263566"},"schema_version":"1.0","source":{"id":"1905.11233","kind":"arxiv","version":10}},"canonical_sha256":"7da22d5511164d290f5752e8f9f06954e87eb61d07320ae6f936745e8f381b9e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7da22d5511164d290f5752e8f9f06954e87eb61d07320ae6f936745e8f381b9e","first_computed_at":"2026-07-05T01:39:53.996729Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:39:53.996729Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fLoRvHX7K0TeXlNp3WBTunCHQHRpHd7nXJijRioLi3Id1w38d9dF4T36KkdXNclulmx1Yp3hoxmB55ebMLLCDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:39:53.997062Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.11233","source_kind":"arxiv","source_version":10}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b95bcde8984375d6b1ece9416bc41a926dd2cad91c625939460db230ecdd80a","sha256:ecbc5397aeea0fb9cecf0f65b321a055c034dd958316d37d7f9154552270086e"],"state_sha256":"790f606008720db347ca738f5fd36cb8d1f44e1ac5c9b3c2faf4dad1c8b5d48c"}