{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:HKIVOLZDTOPQYQ6YBH3ESEYB24","short_pith_number":"pith:HKIVOLZD","canonical_record":{"source":{"id":"2505.13232","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-05-19T15:15:35Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"db049b69b3be3c1e1bdf39055829aac824714efa0a67c23e5dc32e00cbe7185e","abstract_canon_sha256":"c2ec8073a7be7464da689218d1658970e3a5f847697d9d42345c180fb9b8c305"},"schema_version":"1.0"},"canonical_sha256":"3a91572f239b9f0c43d809f6491301d71c0779cbe2da0bb5758c39f8249696fc","source":{"kind":"arxiv","id":"2505.13232","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"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:HKIVOLZDTOPQYQ6YBH3ESEYB24","target":"record","payload":{"canonical_record":{"source":{"id":"2505.13232","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-05-19T15:15:35Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"db049b69b3be3c1e1bdf39055829aac824714efa0a67c23e5dc32e00cbe7185e","abstract_canon_sha256":"c2ec8073a7be7464da689218d1658970e3a5f847697d9d42345c180fb9b8c305"},"schema_version":"1.0"},"canonical_sha256":"3a91572f239b9f0c43d809f6491301d71c0779cbe2da0bb5758c39f8249696fc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:28:16.789396Z","signature_b64":"SvXlTrXJwvOkTb7zsBpGutRxdEcgCvRYtmQ3VFD0XFtDqHlIt0lEjUktg+4ChwHQhqs7QBdgl3u5oL6fF9qHAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3a91572f239b9f0c43d809f6491301d71c0779cbe2da0bb5758c39f8249696fc","last_reissued_at":"2026-07-05T11:28:16.788757Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:28:16.788757Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.13232","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:28:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"afulow/IT+oqfrEhW2e7i56PWOtEF/ASEP5hnZ6f/hbEPammRijQA5WIujxh9t2BT+lh6nmc5G7pxMVz28rTCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T10:56:23.206926Z"},"content_sha256":"e626f9624bc43f0ad0b22fd5436a83573831263f90d19c80f2ee37cc37ddb340","schema_version":"1.0","event_id":"sha256:e626f9624bc43f0ad0b22fd5436a83573831263f90d19c80f2ee37cc37ddb340"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:HKIVOLZDTOPQYQ6YBH3ESEYB24","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.AI","authors_text":"Jinwoo Shin, Jongheon Jeong, Juho Lee, Kyungmin Lee, Sangkyung Kwak, Younghyun Kim","submitted_at":"2025-05-19T15:15:35Z","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"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.13232","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2505.13232/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:28:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vsQ6qByUCsu5a8dwJnIpAgrXVHlBfjaEfr6L8By4HksZ4fj2hf2cUlVkiuAr7KoZBQts+SwQ1mA/idq3SnpRAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T10:56:23.207432Z"},"content_sha256":"8ebda82bd815a815e6c7d6abfb55fc72c85c30015a6b3907f0b916248d781ec3","schema_version":"1.0","event_id":"sha256:8ebda82bd815a815e6c7d6abfb55fc72c85c30015a6b3907f0b916248d781ec3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HKIVOLZDTOPQYQ6YBH3ESEYB24/bundle.json","state_url":"https://pith.science/pith/HKIVOLZDTOPQYQ6YBH3ESEYB24/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HKIVOLZDTOPQYQ6YBH3ESEYB24/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-06T10:56:23Z","links":{"resolver":"https://pith.science/pith/HKIVOLZDTOPQYQ6YBH3ESEYB24","bundle":"https://pith.science/pith/HKIVOLZDTOPQYQ6YBH3ESEYB24/bundle.json","state":"https://pith.science/pith/HKIVOLZDTOPQYQ6YBH3ESEYB24/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HKIVOLZDTOPQYQ6YBH3ESEYB24/bundle.json"},"state":{"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"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TZG0YPy4SegDD0pjhEOkc20esVjJo/EVSpK8WtYIQUQk0HKSpIQm+k0H915pmGZ7CbVAb7391UywkstEdBIgDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T10:56:23.211056Z","bundle_sha256":"c1a7412fe87f82b5a968dd863c35d83dc7d9dac0e36bb0aa923284870f4872c7"}}