{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZKS2MFM2K22KBKFPSHBALTFUMV","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":"204335e7483bb00d5b9d501c7b7664f65635eb624262afe023dcd80dbdc32375","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-11-20T18:59:58Z","title_canon_sha256":"8fd1e65a1dc6e66b47f8eacf8876ae31d9246c4a566fb43b45bbb69ab8dd4ab9"},"schema_version":"1.0","source":{"id":"2411.13553","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.13553","created_at":"2026-07-05T09:59:20Z"},{"alias_kind":"arxiv_version","alias_value":"2411.13553v2","created_at":"2026-07-05T09:59:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.13553","created_at":"2026-07-05T09:59:20Z"},{"alias_kind":"pith_short_12","alias_value":"ZKS2MFM2K22K","created_at":"2026-07-05T09:59:20Z"},{"alias_kind":"pith_short_16","alias_value":"ZKS2MFM2K22KBKFP","created_at":"2026-07-05T09:59:20Z"},{"alias_kind":"pith_short_8","alias_value":"ZKS2MFM2","created_at":"2026-07-05T09:59:20Z"}],"graph_snapshots":[{"event_id":"sha256:f997a877329e48c7d596cd8798db9509607e639568e2e040a12ec8f6b4bca565","target":"graph","created_at":"2026-07-05T09:59:20Z","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/2411.13553/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While text-to-image models offer numerous benefits, they also pose significant societal risks. Detecting AI-generated images is crucial for mitigating these risks. Detection methods can be broadly categorized into passive and watermark-based approaches: passive detectors rely on artifacts present in AI-generated images, whereas watermark-based detectors proactively embed watermarks into such images. A key question is which type of detector performs better in terms of effectiveness, robustness, and efficiency. However, the current literature lacks a comprehensive understanding of this issue. In","authors_text":"Amir Sadovnik, Arka Daw, Moyang Guo, Neil Gong, Yuepeng Hu, Zeyu Li, Zhengyuan Jiang","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-11-20T18:59:58Z","title":"AI-generated Image Detection: Passive or Watermark?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.13553","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:dd9fc6d57c1860e5dfc639147137577d6709560e23060deb45f5cdc1b76c6553","target":"record","created_at":"2026-07-05T09:59:20Z","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":"204335e7483bb00d5b9d501c7b7664f65635eb624262afe023dcd80dbdc32375","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-11-20T18:59:58Z","title_canon_sha256":"8fd1e65a1dc6e66b47f8eacf8876ae31d9246c4a566fb43b45bbb69ab8dd4ab9"},"schema_version":"1.0","source":{"id":"2411.13553","kind":"arxiv","version":2}},"canonical_sha256":"caa5a6159a56b4a0a8af91c205ccb465415d5677f53efa28953785bf5a7ca9f9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"caa5a6159a56b4a0a8af91c205ccb465415d5677f53efa28953785bf5a7ca9f9","first_computed_at":"2026-07-05T09:59:20.572329Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:59:20.572329Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4T6Q09hyRYeGFwtbkEqI6Y4zWEL2Rn09QIMEroMviJEiR2Em3pewlxO1VZFcWmKKdkZ+rHAZ3/86MzQmZWJkDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:59:20.572804Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.13553","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dd9fc6d57c1860e5dfc639147137577d6709560e23060deb45f5cdc1b76c6553","sha256:f997a877329e48c7d596cd8798db9509607e639568e2e040a12ec8f6b4bca565"],"state_sha256":"648f84fb5d417251505961c2d6e49a4b92abf6f8104822eb90d24a07b92dd914"}