{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:O27WSXLLRRCIQ6QF3SQ4KOP4P3","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":"b84952aaa4f745f1f3b4fe979645eece3acac111c5b7673d7c644f5aec6c3eb1","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-10-01T15:09:22Z","title_canon_sha256":"785725effbfb4462768c82bf819fa149cac93f3822c393bb0dc232e44e76624c"},"schema_version":"1.0","source":{"id":"2110.00476","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.00476","created_at":"2026-07-05T03:19:29Z"},{"alias_kind":"arxiv_version","alias_value":"2110.00476v1","created_at":"2026-07-05T03:19:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.00476","created_at":"2026-07-05T03:19:29Z"},{"alias_kind":"pith_short_12","alias_value":"O27WSXLLRRCI","created_at":"2026-07-05T03:19:29Z"},{"alias_kind":"pith_short_16","alias_value":"O27WSXLLRRCIQ6QF","created_at":"2026-07-05T03:19:29Z"},{"alias_kind":"pith_short_8","alias_value":"O27WSXLL","created_at":"2026-07-05T03:19:29Z"}],"graph_snapshots":[{"event_id":"sha256:ff50d314dfadedfd3958efd590265599f92e83192462ba3903a9713fdc430119","target":"graph","created_at":"2026-07-05T03:19:29Z","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/2110.00476/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The influential Residual Networks designed by He et al. remain the gold-standard architecture in numerous scientific publications. They typically serve as the default architecture in studies, or as baselines when new architectures are proposed. Yet there has been significant progress on best practices for training neural networks since the inception of the ResNet architecture in 2015. Novel optimization & data-augmentation have increased the effectiveness of the training recipes. In this paper, we re-evaluate the performance of the vanilla ResNet-50 when trained with a procedure that integrate","authors_text":"Herv\\'e J\\'egou, Hugo Touvron, Ross Wightman","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-10-01T15:09:22Z","title":"ResNet strikes back: An improved training procedure in timm"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.00476","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:eb1ff10471c016486c9a285a9fb69083047c57b44710d82c940a87a1996e96df","target":"record","created_at":"2026-07-05T03:19:29Z","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":"b84952aaa4f745f1f3b4fe979645eece3acac111c5b7673d7c644f5aec6c3eb1","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-10-01T15:09:22Z","title_canon_sha256":"785725effbfb4462768c82bf819fa149cac93f3822c393bb0dc232e44e76624c"},"schema_version":"1.0","source":{"id":"2110.00476","kind":"arxiv","version":1}},"canonical_sha256":"76bf695d6b8c44887a05dca1c539fc7ef0b4b0e7ccdd204bf52dfcebf063ce1e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"76bf695d6b8c44887a05dca1c539fc7ef0b4b0e7ccdd204bf52dfcebf063ce1e","first_computed_at":"2026-07-05T03:19:29.796936Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:19:29.796936Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hK5g1EOYtGSy6VcFDBH4aLZ0fJAnst6QsztdBhB16xsiGoPD9F68U+kb4hfemg0XRTTM2VXhfIV0Sajqmt5/Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:19:29.797278Z","signed_message":"canonical_sha256_bytes"},"source_id":"2110.00476","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eb1ff10471c016486c9a285a9fb69083047c57b44710d82c940a87a1996e96df","sha256:ff50d314dfadedfd3958efd590265599f92e83192462ba3903a9713fdc430119"],"state_sha256":"11350075a08442007b39ec39285aa756a5f45ed24eae52f2a80cdd4d28c0b007"}