{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:BBO3JUSOXFAUIBBVRCNM2OMZ7V","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":"4ca7632a12cae4834985a847f15f328f277f54022e21d891f1c8fce8d3b08fca","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-02-04T03:59:37Z","title_canon_sha256":"aceb4efe3d481cec464d6074d049ad1243585821aec5c49b710bcfa08c10d42b"},"schema_version":"1.0","source":{"id":"2102.02400","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.02400","created_at":"2026-07-05T03:24:28Z"},{"alias_kind":"arxiv_version","alias_value":"2102.02400v4","created_at":"2026-07-05T03:24:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.02400","created_at":"2026-07-05T03:24:28Z"},{"alias_kind":"pith_short_12","alias_value":"BBO3JUSOXFAU","created_at":"2026-07-05T03:24:28Z"},{"alias_kind":"pith_short_16","alias_value":"BBO3JUSOXFAUIBBV","created_at":"2026-07-05T03:24:28Z"},{"alias_kind":"pith_short_8","alias_value":"BBO3JUSO","created_at":"2026-07-05T03:24:28Z"}],"graph_snapshots":[{"event_id":"sha256:27d55abad40b4a77adeddd113c31a4fe96902b829382024147d64bdac7175ba8","target":"graph","created_at":"2026-07-05T03:24:28Z","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/2102.02400/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In label-noise learning, the transition matrix plays a key role in building statistically consistent classifiers. Existing consistent estimators for the transition matrix have been developed by exploiting anchor points. However, the anchor-point assumption is not always satisfied in real scenarios. In this paper, we propose an end-to-end framework for solving label-noise learning without anchor points, in which we simultaneously optimize two objectives: the cross entropy loss between the noisy label and the predicted probability by the neural network, and the volume of the simplex formed by th","authors_text":"Bo Han, Gang Niu, Masashi Sugiyama, Tongliang Liu, Xuefeng Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-02-04T03:59:37Z","title":"Provably End-to-end Label-Noise Learning without Anchor Points"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.02400","kind":"arxiv","version":4},"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":"sha256:829454106c3a31dd057854a96c23448eba8f0d3bc288fcf1023d656ee9f0042c","target":"record","created_at":"2026-07-05T03:24:28Z","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":"4ca7632a12cae4834985a847f15f328f277f54022e21d891f1c8fce8d3b08fca","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-02-04T03:59:37Z","title_canon_sha256":"aceb4efe3d481cec464d6074d049ad1243585821aec5c49b710bcfa08c10d42b"},"schema_version":"1.0","source":{"id":"2102.02400","kind":"arxiv","version":4}},"canonical_sha256":"085db4d24eb941440435889acd3999fd46f080babbf760fc30b9e8c658d3cc0d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"085db4d24eb941440435889acd3999fd46f080babbf760fc30b9e8c658d3cc0d","first_computed_at":"2026-07-05T03:24:28.168088Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:24:28.168088Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hDfCAPWiA8ROFiVk9lWF2VH9gl4SV8rFq6L41yEIQ+K7eduO2qVpqAMntEWgsocy/b7hdDSy1wyRmc9WyYcbAA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:24:28.168596Z","signed_message":"canonical_sha256_bytes"},"source_id":"2102.02400","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:829454106c3a31dd057854a96c23448eba8f0d3bc288fcf1023d656ee9f0042c","sha256:27d55abad40b4a77adeddd113c31a4fe96902b829382024147d64bdac7175ba8"],"state_sha256":"2686fabe7d83d16957a6790c4e1336736fe989938ab0ffed5dceef3b9f00da3d"}