{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:AJ3JHIBOC2KY2NL64DP6SVBZUM","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":"8feb35fab3404f7e95b5ca48c0d9b3b6ad3ffe701c5f11e41083cc37660ef1b0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-07-19T00:34:03Z","title_canon_sha256":"ee6e087fe53a36046116e1aaa01f82f48305c0fbeb8f1e0bc627a36cc7d55112"},"schema_version":"1.0","source":{"id":"2407.13957","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.13957","created_at":"2026-07-05T09:27:03Z"},{"alias_kind":"arxiv_version","alias_value":"2407.13957v2","created_at":"2026-07-05T09:27:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.13957","created_at":"2026-07-05T09:27:03Z"},{"alias_kind":"pith_short_12","alias_value":"AJ3JHIBOC2KY","created_at":"2026-07-05T09:27:03Z"},{"alias_kind":"pith_short_16","alias_value":"AJ3JHIBOC2KY2NL6","created_at":"2026-07-05T09:27:03Z"},{"alias_kind":"pith_short_8","alias_value":"AJ3JHIBO","created_at":"2026-07-05T09:27:03Z"}],"graph_snapshots":[{"event_id":"sha256:40d805f4c66af5f4a0a02f1ac7c2e4ec25730b60c98799e05d2fc451de9a6767","target":"graph","created_at":"2026-07-05T09:27:03Z","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/2407.13957/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modern machine learning models are prone to over-reliance on spurious correlations, which can often lead to poor performance on minority groups. In this paper, we identify surprising and nuanced behavior of finetuned models on worst-group accuracy via comprehensive experiments on four well-established benchmarks across vision and language tasks. We first show that the commonly used class-balancing techniques of mini-batch upsampling and loss upweighting can induce a decrease in worst-group accuracy (WGA) with training epochs, leading to performance no better than without class-balancing. While","authors_text":"Abhishek Kumar, John C. Hill, Tyler LaBonte, Vidya Muthukumar, Xinchen Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-07-19T00:34:03Z","title":"The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.13957","kind":"arxiv","version":2},"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:eba53895cc33220f19bcf91e8baedddf961648bbe4ef0ff7bd03735c8cf058c2","target":"record","created_at":"2026-07-05T09:27:03Z","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":"8feb35fab3404f7e95b5ca48c0d9b3b6ad3ffe701c5f11e41083cc37660ef1b0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-07-19T00:34:03Z","title_canon_sha256":"ee6e087fe53a36046116e1aaa01f82f48305c0fbeb8f1e0bc627a36cc7d55112"},"schema_version":"1.0","source":{"id":"2407.13957","kind":"arxiv","version":2}},"canonical_sha256":"027693a02e16958d357ee0dfe95439a32b576130c62d9a5bc5c50803449e2b35","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"027693a02e16958d357ee0dfe95439a32b576130c62d9a5bc5c50803449e2b35","first_computed_at":"2026-07-05T09:27:03.308696Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:27:03.308696Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kRTDSUJIUjGzY3gHL57CzeTF2VAqyeCu7eOzACZ8X/nQBhMilaxoRkytpdUCxhm4zNgms9Nhe21lZD+bpa9TAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:27:03.309235Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.13957","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eba53895cc33220f19bcf91e8baedddf961648bbe4ef0ff7bd03735c8cf058c2","sha256:40d805f4c66af5f4a0a02f1ac7c2e4ec25730b60c98799e05d2fc451de9a6767"],"state_sha256":"77be8850d2bb0147fafaaf4291e6650e2aee8b5e3dc683109663d167d85007f2"}