{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HKIVOLZDTOPQYQ6YBH3ESEYB24","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":"c2ec8073a7be7464da689218d1658970e3a5f847697d9d42345c180fb9b8c305","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-05-19T15:15:35Z","title_canon_sha256":"db049b69b3be3c1e1bdf39055829aac824714efa0a67c23e5dc32e00cbe7185e"},"schema_version":"1.0","source":{"id":"2505.13232","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.13232","created_at":"2026-07-05T11:28:16Z"},{"alias_kind":"arxiv_version","alias_value":"2505.13232v3","created_at":"2026-07-05T11:28:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.13232","created_at":"2026-07-05T11:28:16Z"},{"alias_kind":"pith_short_12","alias_value":"HKIVOLZDTOPQ","created_at":"2026-07-05T11:28:16Z"},{"alias_kind":"pith_short_16","alias_value":"HKIVOLZDTOPQYQ6Y","created_at":"2026-07-05T11:28:16Z"},{"alias_kind":"pith_short_8","alias_value":"HKIVOLZD","created_at":"2026-07-05T11:28:16Z"}],"graph_snapshots":[{"event_id":"sha256:8ebda82bd815a815e6c7d6abfb55fc72c85c30015a6b3907f0b916248d781ec3","target":"graph","created_at":"2026-07-05T11:28:16Z","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/2505.13232/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learning robust representations from data often requires scale, which has led to the success of recent zero-shot models such as CLIP. However, the obtained robustness can easily be deteriorated when these models are fine-tuned on other downstream tasks (e.g., of smaller scales). Previous works often interpret this phenomenon in the context of domain shift, developing fine-tuning methods that aim to preserve the original domain as much as possible. However, in a different context, fine-tuned models with limited data are also prone to learning features that are spurious to humans, such as backgr","authors_text":"Jinwoo Shin, Jongheon Jeong, Juho Lee, Kyungmin Lee, Sangkyung Kwak, Younghyun Kim","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-05-19T15:15:35Z","title":"StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.13232","kind":"arxiv","version":3},"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:e626f9624bc43f0ad0b22fd5436a83573831263f90d19c80f2ee37cc37ddb340","target":"record","created_at":"2026-07-05T11:28:16Z","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":"c2ec8073a7be7464da689218d1658970e3a5f847697d9d42345c180fb9b8c305","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-05-19T15:15:35Z","title_canon_sha256":"db049b69b3be3c1e1bdf39055829aac824714efa0a67c23e5dc32e00cbe7185e"},"schema_version":"1.0","source":{"id":"2505.13232","kind":"arxiv","version":3}},"canonical_sha256":"3a91572f239b9f0c43d809f6491301d71c0779cbe2da0bb5758c39f8249696fc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3a91572f239b9f0c43d809f6491301d71c0779cbe2da0bb5758c39f8249696fc","first_computed_at":"2026-07-05T11:28:16.788757Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:28:16.788757Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SvXlTrXJwvOkTb7zsBpGutRxdEcgCvRYtmQ3VFD0XFtDqHlIt0lEjUktg+4ChwHQhqs7QBdgl3u5oL6fF9qHAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:28:16.789396Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.13232","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e626f9624bc43f0ad0b22fd5436a83573831263f90d19c80f2ee37cc37ddb340","sha256:8ebda82bd815a815e6c7d6abfb55fc72c85c30015a6b3907f0b916248d781ec3"],"state_sha256":"c3ccfb0c3cd493ea5d12d245166a9754d96cda2657ff7fccd80de1018a49dda1"}