{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:AIJTH6545ZEKRXM2L3VDGYYOWS","short_pith_number":"pith:AIJTH654","canonical_record":{"source":{"id":"2402.07410","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-12T05:05:55Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"96d659ecdb2f4a15448b89f75843bef17ca039b9138968d9ccc909ac418c4b42","abstract_canon_sha256":"496388ca50745b94bf20a4204f73765ecbeac224a9f3b4e0a0b06b892a9d1497"},"schema_version":"1.0"},"canonical_sha256":"021333fbbcee48a8dd9a5eea33630eb49a7aa74e7cd776aaef3814e5f976f7ae","source":{"kind":"arxiv","id":"2402.07410","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.07410","created_at":"2026-07-05T07:44:06Z"},{"alias_kind":"arxiv_version","alias_value":"2402.07410v1","created_at":"2026-07-05T07:44:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.07410","created_at":"2026-07-05T07:44:06Z"},{"alias_kind":"pith_short_12","alias_value":"AIJTH6545ZEK","created_at":"2026-07-05T07:44:06Z"},{"alias_kind":"pith_short_16","alias_value":"AIJTH6545ZEKRXM2","created_at":"2026-07-05T07:44:06Z"},{"alias_kind":"pith_short_8","alias_value":"AIJTH654","created_at":"2026-07-05T07:44:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:AIJTH6545ZEKRXM2L3VDGYYOWS","target":"record","payload":{"canonical_record":{"source":{"id":"2402.07410","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-12T05:05:55Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"96d659ecdb2f4a15448b89f75843bef17ca039b9138968d9ccc909ac418c4b42","abstract_canon_sha256":"496388ca50745b94bf20a4204f73765ecbeac224a9f3b4e0a0b06b892a9d1497"},"schema_version":"1.0"},"canonical_sha256":"021333fbbcee48a8dd9a5eea33630eb49a7aa74e7cd776aaef3814e5f976f7ae","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:44:06.068884Z","signature_b64":"p6akEMmMorBFOte1L60zvyiCF5OI4SmG06r2JEmcoufiZMQdAlzw03QT0CInjt5wLb5MMuPYxdtqi30PCKSkCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"021333fbbcee48a8dd9a5eea33630eb49a7aa74e7cd776aaef3814e5f976f7ae","last_reissued_at":"2026-07-05T07:44:06.068431Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:44:06.068431Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.07410","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:44:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HB0qq6OmzzhtQhMzL5A+NnHUCV/06pdGMivMdRXvS5VjQdxamRl3b5me9Nt1HjyxCSkCJGEXw0kl8wDtJpZnAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T11:23:14.525782Z"},"content_sha256":"859b0658973b03c098e46ee1ac4313cacfea2edc8491f04c08c896342c733ca3","schema_version":"1.0","event_id":"sha256:859b0658973b03c098e46ee1ac4313cacfea2edc8491f04c08c896342c733ca3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:AIJTH6545ZEKRXM2L3VDGYYOWS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Tom Gedeon, Weijian Deng, Weijie Tu","submitted_at":"2024-02-12T05:05:55Z","abstract_excerpt":"Contrastive Language-Image Pre-training (CLIP) models have demonstrated remarkable generalization capabilities across multiple challenging distribution shifts. However, there is still much to be explored in terms of their robustness to the variations of specific visual factors. In real-world applications, reliable and safe systems must consider other safety objectives beyond classification accuracy, such as predictive uncertainty. Yet, the effectiveness of CLIP models on such safety-related features is less-explored. Driven by the above, this work comprehensively investigates the safety object"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.07410","kind":"arxiv","version":1},"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/2402.07410/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":"2026-07-05T07:44:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ijxrYpfQqli3OmAi7VBSqg5/GcJ4WUewt0Xis6bkpRrE7VMP4ncrjJQRZ4mXGS8C71vTbwFaKjHMIoja1Y1hCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T11:23:14.526307Z"},"content_sha256":"b33e06e3f812d2c9b9b7d185e202b8ebf7bf0259c186581e3cbf97d974cd0ceb","schema_version":"1.0","event_id":"sha256:b33e06e3f812d2c9b9b7d185e202b8ebf7bf0259c186581e3cbf97d974cd0ceb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AIJTH6545ZEKRXM2L3VDGYYOWS/bundle.json","state_url":"https://pith.science/pith/AIJTH6545ZEKRXM2L3VDGYYOWS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AIJTH6545ZEKRXM2L3VDGYYOWS/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":"2026-08-18T11:23:14Z","links":{"resolver":"https://pith.science/pith/AIJTH6545ZEKRXM2L3VDGYYOWS","bundle":"https://pith.science/pith/AIJTH6545ZEKRXM2L3VDGYYOWS/bundle.json","state":"https://pith.science/pith/AIJTH6545ZEKRXM2L3VDGYYOWS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AIJTH6545ZEKRXM2L3VDGYYOWS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:AIJTH6545ZEKRXM2L3VDGYYOWS","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":"496388ca50745b94bf20a4204f73765ecbeac224a9f3b4e0a0b06b892a9d1497","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-12T05:05:55Z","title_canon_sha256":"96d659ecdb2f4a15448b89f75843bef17ca039b9138968d9ccc909ac418c4b42"},"schema_version":"1.0","source":{"id":"2402.07410","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.07410","created_at":"2026-07-05T07:44:06Z"},{"alias_kind":"arxiv_version","alias_value":"2402.07410v1","created_at":"2026-07-05T07:44:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.07410","created_at":"2026-07-05T07:44:06Z"},{"alias_kind":"pith_short_12","alias_value":"AIJTH6545ZEK","created_at":"2026-07-05T07:44:06Z"},{"alias_kind":"pith_short_16","alias_value":"AIJTH6545ZEKRXM2","created_at":"2026-07-05T07:44:06Z"},{"alias_kind":"pith_short_8","alias_value":"AIJTH654","created_at":"2026-07-05T07:44:06Z"}],"graph_snapshots":[{"event_id":"sha256:b33e06e3f812d2c9b9b7d185e202b8ebf7bf0259c186581e3cbf97d974cd0ceb","target":"graph","created_at":"2026-07-05T07:44:06Z","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/2402.07410/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Contrastive Language-Image Pre-training (CLIP) models have demonstrated remarkable generalization capabilities across multiple challenging distribution shifts. However, there is still much to be explored in terms of their robustness to the variations of specific visual factors. In real-world applications, reliable and safe systems must consider other safety objectives beyond classification accuracy, such as predictive uncertainty. Yet, the effectiveness of CLIP models on such safety-related features is less-explored. Driven by the above, this work comprehensively investigates the safety object","authors_text":"Tom Gedeon, Weijian Deng, Weijie Tu","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-12T05:05:55Z","title":"A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.07410","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":"sha256:859b0658973b03c098e46ee1ac4313cacfea2edc8491f04c08c896342c733ca3","target":"record","created_at":"2026-07-05T07:44:06Z","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":"496388ca50745b94bf20a4204f73765ecbeac224a9f3b4e0a0b06b892a9d1497","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-12T05:05:55Z","title_canon_sha256":"96d659ecdb2f4a15448b89f75843bef17ca039b9138968d9ccc909ac418c4b42"},"schema_version":"1.0","source":{"id":"2402.07410","kind":"arxiv","version":1}},"canonical_sha256":"021333fbbcee48a8dd9a5eea33630eb49a7aa74e7cd776aaef3814e5f976f7ae","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"021333fbbcee48a8dd9a5eea33630eb49a7aa74e7cd776aaef3814e5f976f7ae","first_computed_at":"2026-07-05T07:44:06.068431Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:44:06.068431Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p6akEMmMorBFOte1L60zvyiCF5OI4SmG06r2JEmcoufiZMQdAlzw03QT0CInjt5wLb5MMuPYxdtqi30PCKSkCg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:44:06.068884Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.07410","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:859b0658973b03c098e46ee1ac4313cacfea2edc8491f04c08c896342c733ca3","sha256:b33e06e3f812d2c9b9b7d185e202b8ebf7bf0259c186581e3cbf97d974cd0ceb"],"state_sha256":"0171ce83a1eb64263a9a5a4940247c4ef8faaefe7db566be9fdcfe50f2b87b06"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iZCL6T55R9HL8OJSlw0N+Kw13k9pC6jnSBflZC3O0DK6EgonUusQIUexMXd7rRw2WH+vPGi6yeyiRLFUTksNDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T11:23:14.531730Z","bundle_sha256":"7b282f056f1c7468d625607657e54d573c4e3d3b64f50ba95c834d328f1610d6"}}