{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:SF2BRLDBKKMBRJWE6LL6Y6FKX6","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":"6933599d44c51b017bdae3e9bb6cf23fb284c95589de0660e4558f0b979da597","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-09T14:58:57Z","title_canon_sha256":"105427e3205afd4f676e6d1737a692449c0d153142fad780aaa9ccdd219659b8"},"schema_version":"1.0","source":{"id":"2106.05121","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.05121","created_at":"2026-07-05T03:32:05Z"},{"alias_kind":"arxiv_version","alias_value":"2106.05121v2","created_at":"2026-07-05T03:32:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.05121","created_at":"2026-07-05T03:32:05Z"},{"alias_kind":"pith_short_12","alias_value":"SF2BRLDBKKMB","created_at":"2026-07-05T03:32:05Z"},{"alias_kind":"pith_short_16","alias_value":"SF2BRLDBKKMBRJWE","created_at":"2026-07-05T03:32:05Z"},{"alias_kind":"pith_short_8","alias_value":"SF2BRLDB","created_at":"2026-07-05T03:32:05Z"}],"graph_snapshots":[{"event_id":"sha256:8589ffcc250f7e593fb4d64fa1707cf46447d7a8aeb517649447de64965bdc3f","target":"graph","created_at":"2026-07-05T03:32:05Z","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/2106.05121/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To perform well on unseen and potentially out-of-distribution samples, it is desirable for machine learning models to have a predictable response with respect to transformations affecting the factors of variation of the input. Here, we study the relative importance of several types of inductive biases towards such predictable behavior: the choice of data, their augmentations, and model architectures. Invariance is commonly achieved through hand-engineered data augmentation, but do standard data augmentations address transformations that explain variations in real data? While prior work has foc","authors_text":"Ari S. Morcos, Diane Bouchacourt, Mark Ibrahim","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-09T14:58:57Z","title":"Grounding inductive biases in natural images:invariance stems from variations in data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.05121","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":"sha256:3096347ca47f95dd2ce351f28578c66e48c71014f60978fa5c86608b57c4192e","target":"record","created_at":"2026-07-05T03:32:05Z","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":"6933599d44c51b017bdae3e9bb6cf23fb284c95589de0660e4558f0b979da597","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-09T14:58:57Z","title_canon_sha256":"105427e3205afd4f676e6d1737a692449c0d153142fad780aaa9ccdd219659b8"},"schema_version":"1.0","source":{"id":"2106.05121","kind":"arxiv","version":2}},"canonical_sha256":"917418ac61529818a6c4f2d7ec78aabf87a0f26831b13c01273f7d2cda9ec5a8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"917418ac61529818a6c4f2d7ec78aabf87a0f26831b13c01273f7d2cda9ec5a8","first_computed_at":"2026-07-05T03:32:05.149288Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:32:05.149288Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tvv40Io487EzlWQtSvcpX3Zd94UuMKJWLwEKSEE44DzqBCrrGsDVUDYnWnAramLx1rPmSwH5/JRqAmwjZK11Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:32:05.149779Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.05121","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3096347ca47f95dd2ce351f28578c66e48c71014f60978fa5c86608b57c4192e","sha256:8589ffcc250f7e593fb4d64fa1707cf46447d7a8aeb517649447de64965bdc3f"],"state_sha256":"1ee680e59481e0007d952d38743acc81498ba2f61432cf8da8740052605a1edc"}