{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:6JU2JQE5RWAI3RQR2YXVE635H6","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":"e9e252a7d8fd395e2c89b5e3334e6b98e713f1076a13b17350ba1f6b9b25a1e0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-07-06T17:58:07Z","title_canon_sha256":"028229e86080d513f788d912d1de5969bdaf7f2686746c51d8e47af49b4abc01"},"schema_version":"1.0","source":{"id":"2207.02842","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.02842","created_at":"2026-07-05T04:38:08Z"},{"alias_kind":"arxiv_version","alias_value":"2207.02842v1","created_at":"2026-07-05T04:38:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.02842","created_at":"2026-07-05T04:38:08Z"},{"alias_kind":"pith_short_12","alias_value":"6JU2JQE5RWAI","created_at":"2026-07-05T04:38:08Z"},{"alias_kind":"pith_short_16","alias_value":"6JU2JQE5RWAI3RQR","created_at":"2026-07-05T04:38:08Z"},{"alias_kind":"pith_short_8","alias_value":"6JU2JQE5","created_at":"2026-07-05T04:38:08Z"}],"graph_snapshots":[{"event_id":"sha256:3e61ecc2eafa369b274299678967e15c59cb77c6cac69006685dfba765501ed3","target":"graph","created_at":"2026-07-05T04:38:08Z","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/2207.02842/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Using transfer learning to adapt a pre-trained \"source model\" to a downstream \"target task\" can dramatically increase performance with seemingly no downside. In this work, we demonstrate that there can exist a downside after all: bias transfer, or the tendency for biases of the source model to persist even after adapting the model to the target class. Through a combination of synthetic and natural experiments, we show that bias transfer both (a) arises in realistic settings (such as when pre-training on ImageNet or other standard datasets) and (b) can occur even when the target dataset is expl","authors_text":"Aleksander Madry, Andrew Ilyas, Eric Wong, Hadi Salman, Logan Engstrom, Saachi Jain","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-07-06T17:58:07Z","title":"When does Bias Transfer in Transfer Learning?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.02842","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:a6d8d6dad47ddf1e6a6b9aee860abb5bfa565cb4d3ce33de6df26df478243681","target":"record","created_at":"2026-07-05T04:38:08Z","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":"e9e252a7d8fd395e2c89b5e3334e6b98e713f1076a13b17350ba1f6b9b25a1e0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-07-06T17:58:07Z","title_canon_sha256":"028229e86080d513f788d912d1de5969bdaf7f2686746c51d8e47af49b4abc01"},"schema_version":"1.0","source":{"id":"2207.02842","kind":"arxiv","version":1}},"canonical_sha256":"f269a4c09d8d808dc611d62f527b7d3fa3ac38d850381f50629546cc5fb00094","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f269a4c09d8d808dc611d62f527b7d3fa3ac38d850381f50629546cc5fb00094","first_computed_at":"2026-07-05T04:38:08.364327Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:38:08.364327Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bUGCZW+VHDYy9JNfWn+nBDIu88l0foDG3hXF2hXKXhpgZUnGoo0Q9EONCX1J7tDzxFGLMrHRu18tudmpKAraDw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:38:08.364797Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.02842","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a6d8d6dad47ddf1e6a6b9aee860abb5bfa565cb4d3ce33de6df26df478243681","sha256:3e61ecc2eafa369b274299678967e15c59cb77c6cac69006685dfba765501ed3"],"state_sha256":"6332664ecd06a76fb51d8f6a93d490bdfa94016e214e3b3770389e8ba7396633"}