{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:E22MG4M3AT5HAKIXYLMDQTIXQU","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":"2dce4aef7116d52de34fe421786439ef6589383efefe1c3c9cc5e9ea89489c3e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-30T02:44:48Z","title_canon_sha256":"8d1e866f488395cd69ba70ebac861f94f601d7a1c145a1e348c0a081e90d7c3b"},"schema_version":"1.0","source":{"id":"1605.00055","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.00055","created_at":"2026-05-18T01:15:56Z"},{"alias_kind":"arxiv_version","alias_value":"1605.00055v1","created_at":"2026-05-18T01:15:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.00055","created_at":"2026-05-18T01:15:56Z"},{"alias_kind":"pith_short_12","alias_value":"E22MG4M3AT5H","created_at":"2026-05-18T12:30:12Z"},{"alias_kind":"pith_short_16","alias_value":"E22MG4M3AT5HAKIX","created_at":"2026-05-18T12:30:12Z"},{"alias_kind":"pith_short_8","alias_value":"E22MG4M3","created_at":"2026-05-18T12:30:12Z"}],"graph_snapshots":[{"event_id":"sha256:1219ac468d0287ad3d51f7ec69b8775400ce7935142469fa184895d99dc2442d","target":"graph","created_at":"2026-05-18T01:15:56Z","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":"During a long period of time we are combating over-fitting in the CNN training process with model regularization, including weight decay, model averaging, data augmentation, etc. In this paper, we present DisturbLabel, an extremely simple algorithm which randomly replaces a part of labels as incorrect values in each iteration. Although it seems weird to intentionally generate incorrect training labels, we show that DisturbLabel prevents the network training from over-fitting by implicitly averaging over exponentially many networks which are trained with different label sets. To the best of our","authors_text":"Jingdong Wang, Lingxi Xie, Meng Wang, Qi Tian, Zhen Wei","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-30T02:44:48Z","title":"DisturbLabel: Regularizing CNN on the Loss Layer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.00055","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":"sha256:184d3c41fe376228f4c756325464f30d49c6d6768db3c8b716495d64a205ad56","target":"record","created_at":"2026-05-18T01:15:56Z","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":"2dce4aef7116d52de34fe421786439ef6589383efefe1c3c9cc5e9ea89489c3e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-30T02:44:48Z","title_canon_sha256":"8d1e866f488395cd69ba70ebac861f94f601d7a1c145a1e348c0a081e90d7c3b"},"schema_version":"1.0","source":{"id":"1605.00055","kind":"arxiv","version":1}},"canonical_sha256":"26b4c3719b04fa702917c2d8384d1785095180ad4c9b5f1bdd5a331b26037746","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"26b4c3719b04fa702917c2d8384d1785095180ad4c9b5f1bdd5a331b26037746","first_computed_at":"2026-05-18T01:15:56.966840Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:15:56.966840Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8zEuy/T4qerP3i1PbQbRaGkzEFTvJn6XI2BzjV4wTPgZ9o6hfPs6kgQL5KxMPlHZZomlEgH1Q5OD51CTsBUqCw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:15:56.967419Z","signed_message":"canonical_sha256_bytes"},"source_id":"1605.00055","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:184d3c41fe376228f4c756325464f30d49c6d6768db3c8b716495d64a205ad56","sha256:1219ac468d0287ad3d51f7ec69b8775400ce7935142469fa184895d99dc2442d"],"state_sha256":"40ad1f252623025256efe05c9764888b2cc76e0063689c412bddf0abf7c1df20"}