{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:4UKM7ZD7A6CWYUFQCLKKO7JM4Q","short_pith_number":"pith:4UKM7ZD7","canonical_record":{"source":{"id":"2606.12671","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-10T20:55:50Z","cross_cats_sorted":[],"title_canon_sha256":"09da860efe7c739cdfe74a1c16afc363b88d032e6100f62d92c5259f8b063247","abstract_canon_sha256":"bf88471be1b008e457a2d7bebd9d0ea54fcaf208aabefaba63b89a060bb02018"},"schema_version":"1.0"},"canonical_sha256":"e514cfe47f07856c50b012d4a77d2ce404f0a168329ccc3e58b59e3bba1fb36b","source":{"kind":"arxiv","id":"2606.12671","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.12671","created_at":"2026-06-12T01:08:43Z"},{"alias_kind":"arxiv_version","alias_value":"2606.12671v1","created_at":"2026-06-12T01:08:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.12671","created_at":"2026-06-12T01:08:43Z"},{"alias_kind":"pith_short_12","alias_value":"4UKM7ZD7A6CW","created_at":"2026-06-12T01:08:43Z"},{"alias_kind":"pith_short_16","alias_value":"4UKM7ZD7A6CWYUFQ","created_at":"2026-06-12T01:08:43Z"},{"alias_kind":"pith_short_8","alias_value":"4UKM7ZD7","created_at":"2026-06-12T01:08:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:4UKM7ZD7A6CWYUFQCLKKO7JM4Q","target":"record","payload":{"canonical_record":{"source":{"id":"2606.12671","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-10T20:55:50Z","cross_cats_sorted":[],"title_canon_sha256":"09da860efe7c739cdfe74a1c16afc363b88d032e6100f62d92c5259f8b063247","abstract_canon_sha256":"bf88471be1b008e457a2d7bebd9d0ea54fcaf208aabefaba63b89a060bb02018"},"schema_version":"1.0"},"canonical_sha256":"e514cfe47f07856c50b012d4a77d2ce404f0a168329ccc3e58b59e3bba1fb36b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-12T01:08:43.827471Z","signature_b64":"T1SOPSu0EvwAsUxgSoU9gineAkWFZmJmNaVwkayexclFKfw9hhhkJEINerTmgNh2RIEsP0PjGHU0K9oGt5Q8BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e514cfe47f07856c50b012d4a77d2ce404f0a168329ccc3e58b59e3bba1fb36b","last_reissued_at":"2026-06-12T01:08:43.826521Z","signature_status":"signed_v1","first_computed_at":"2026-06-12T01:08:43.826521Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.12671","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":"2026-06-12T01:08:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Sw9UweyGjVBsoZM5X9YQjQnyiXcuhUPHEcGymyLbMRihaq+QboRBXpGAjmgpGn/FldJGP2QIR3h07739d9QlBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T03:51:11.584354Z"},"content_sha256":"e3a561ba5b3279e51f4eed74a07c86efebdd0b16ca878356845f195ecd09cadd","schema_version":"1.0","event_id":"sha256:e3a561ba5b3279e51f4eed74a07c86efebdd0b16ca878356845f195ecd09cadd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:4UKM7ZD7A6CWYUFQCLKKO7JM4Q","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SalArt-VQA: Diagnosing Whether VLMs Understand Salient Artifacts in Generated Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"James Burgess, Junzhe Huang, Ruotian Zhang, Serena Yeung-Levy, Xiaoxiao Sun","submitted_at":"2026-06-10T20:55:50Z","abstract_excerpt":"Vision-language models (VLMs) are increasingly used to detect whether AI-generated images contain visible artifacts, yet their ability to analyze such artifacts remains poorly understood. A correct image-level decision can still hide important failures: a model may correctly flag an artifact while relying on the wrong visual cue, selecting the wrong region, or describing a defect that the image does not support. To evaluate these behaviors directly, we introduce SalArt-VQA, a diagnostic benchmark for fine-grained SALient ARTifact understanding in AI-generated images. SalArt-VQA contains 950 im"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.12671","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/2606.12671/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":"2026-06-12T01:08:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q8xjnFYWSi6Nw9jJiSnI4PUBw992Msb7MuL4aP9HMHX0G7ahCmZgGEBKtiftvZGqZfNupO5N2ioBpPYFGy/AAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T03:51:11.584747Z"},"content_sha256":"45be004e847f5d5984a40812201cb187845640180ee64c54b593af246156f0b5","schema_version":"1.0","event_id":"sha256:45be004e847f5d5984a40812201cb187845640180ee64c54b593af246156f0b5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4UKM7ZD7A6CWYUFQCLKKO7JM4Q/bundle.json","state_url":"https://pith.science/pith/4UKM7ZD7A6CWYUFQCLKKO7JM4Q/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4UKM7ZD7A6CWYUFQCLKKO7JM4Q/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":"2026-06-28T03:51:11Z","links":{"resolver":"https://pith.science/pith/4UKM7ZD7A6CWYUFQCLKKO7JM4Q","bundle":"https://pith.science/pith/4UKM7ZD7A6CWYUFQCLKKO7JM4Q/bundle.json","state":"https://pith.science/pith/4UKM7ZD7A6CWYUFQCLKKO7JM4Q/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4UKM7ZD7A6CWYUFQCLKKO7JM4Q/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:4UKM7ZD7A6CWYUFQCLKKO7JM4Q","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":"bf88471be1b008e457a2d7bebd9d0ea54fcaf208aabefaba63b89a060bb02018","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-10T20:55:50Z","title_canon_sha256":"09da860efe7c739cdfe74a1c16afc363b88d032e6100f62d92c5259f8b063247"},"schema_version":"1.0","source":{"id":"2606.12671","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.12671","created_at":"2026-06-12T01:08:43Z"},{"alias_kind":"arxiv_version","alias_value":"2606.12671v1","created_at":"2026-06-12T01:08:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.12671","created_at":"2026-06-12T01:08:43Z"},{"alias_kind":"pith_short_12","alias_value":"4UKM7ZD7A6CW","created_at":"2026-06-12T01:08:43Z"},{"alias_kind":"pith_short_16","alias_value":"4UKM7ZD7A6CWYUFQ","created_at":"2026-06-12T01:08:43Z"},{"alias_kind":"pith_short_8","alias_value":"4UKM7ZD7","created_at":"2026-06-12T01:08:43Z"}],"graph_snapshots":[{"event_id":"sha256:45be004e847f5d5984a40812201cb187845640180ee64c54b593af246156f0b5","target":"graph","created_at":"2026-06-12T01:08:43Z","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/2606.12671/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision-language models (VLMs) are increasingly used to detect whether AI-generated images contain visible artifacts, yet their ability to analyze such artifacts remains poorly understood. A correct image-level decision can still hide important failures: a model may correctly flag an artifact while relying on the wrong visual cue, selecting the wrong region, or describing a defect that the image does not support. To evaluate these behaviors directly, we introduce SalArt-VQA, a diagnostic benchmark for fine-grained SALient ARTifact understanding in AI-generated images. SalArt-VQA contains 950 im","authors_text":"James Burgess, Junzhe Huang, Ruotian Zhang, Serena Yeung-Levy, Xiaoxiao Sun","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-10T20:55:50Z","title":"SalArt-VQA: Diagnosing Whether VLMs Understand Salient Artifacts in Generated Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.12671","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:e3a561ba5b3279e51f4eed74a07c86efebdd0b16ca878356845f195ecd09cadd","target":"record","created_at":"2026-06-12T01:08:43Z","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":"bf88471be1b008e457a2d7bebd9d0ea54fcaf208aabefaba63b89a060bb02018","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-10T20:55:50Z","title_canon_sha256":"09da860efe7c739cdfe74a1c16afc363b88d032e6100f62d92c5259f8b063247"},"schema_version":"1.0","source":{"id":"2606.12671","kind":"arxiv","version":1}},"canonical_sha256":"e514cfe47f07856c50b012d4a77d2ce404f0a168329ccc3e58b59e3bba1fb36b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e514cfe47f07856c50b012d4a77d2ce404f0a168329ccc3e58b59e3bba1fb36b","first_computed_at":"2026-06-12T01:08:43.826521Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-12T01:08:43.826521Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"T1SOPSu0EvwAsUxgSoU9gineAkWFZmJmNaVwkayexclFKfw9hhhkJEINerTmgNh2RIEsP0PjGHU0K9oGt5Q8BA==","signature_status":"signed_v1","signed_at":"2026-06-12T01:08:43.827471Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.12671","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e3a561ba5b3279e51f4eed74a07c86efebdd0b16ca878356845f195ecd09cadd","sha256:45be004e847f5d5984a40812201cb187845640180ee64c54b593af246156f0b5"],"state_sha256":"fbd640c2d075d120233a3ceb63d7a0ea35b05a62bd992ad1e502ce9e885293d8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i8EGYBbV0xjj+COzxGYqVxVmCQgPFwBM58Xe8QD4ONGv5BeapLHT3xv93RhMZAKVJELRKlE4PGkJd3UJIqC0AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T03:51:11.586717Z","bundle_sha256":"65c88c78e24a60b7993009e73a81795bd7db0cacf372ffb5a9ded4609a1b8e4a"}}