{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MVLEFRROYD3JWWD2DGBJOMA7D7","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":"e14b66faad1d68fe472b00a719dd367422402fcd230604408bef8692a11ac428","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-31T14:36:49Z","title_canon_sha256":"be66db59d881787d49258dcbc6e95b48cdeb3f133f9e06e1965c83bce91fa15e"},"schema_version":"1.0","source":{"id":"2401.17879","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.17879","created_at":"2026-07-05T08:01:18Z"},{"alias_kind":"arxiv_version","alias_value":"2401.17879v2","created_at":"2026-07-05T08:01:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.17879","created_at":"2026-07-05T08:01:18Z"},{"alias_kind":"pith_short_12","alias_value":"MVLEFRROYD3J","created_at":"2026-07-05T08:01:18Z"},{"alias_kind":"pith_short_16","alias_value":"MVLEFRROYD3JWWD2","created_at":"2026-07-05T08:01:18Z"},{"alias_kind":"pith_short_8","alias_value":"MVLEFRRO","created_at":"2026-07-05T08:01:18Z"}],"graph_snapshots":[{"event_id":"sha256:687aaa336654dd678f98f5fdba9c194e13461f57f202dd0e7a39aac0bde728a5","target":"graph","created_at":"2026-07-05T08:01:18Z","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/2401.17879/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With recent text-to-image models, anyone can generate deceptively realistic images with arbitrary contents, fueling the growing threat of visual disinformation. A key enabler for generating high-resolution images with low computational cost has been the development of latent diffusion models (LDMs). In contrast to conventional diffusion models, LDMs perform the denoising process in the low-dimensional latent space of a pre-trained autoencoder (AE) instead of the high-dimensional image space. Despite their relevance, the forensic analysis of LDMs is still in its infancy. In this work we propose","authors_text":"Asja Fischer, Denis Lukovnikov, Jonas Ricker","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-31T14:36:49Z","title":"AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.17879","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":"sha256:0d08ea9190b063d1e7c538e8927c8f6efc9c58239d6fa23791506583d3609282","target":"record","created_at":"2026-07-05T08:01:18Z","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":"e14b66faad1d68fe472b00a719dd367422402fcd230604408bef8692a11ac428","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-31T14:36:49Z","title_canon_sha256":"be66db59d881787d49258dcbc6e95b48cdeb3f133f9e06e1965c83bce91fa15e"},"schema_version":"1.0","source":{"id":"2401.17879","kind":"arxiv","version":2}},"canonical_sha256":"655642c62ec0f69b587a198297301f1fe2d54aa219dc052e8d8e8d2dbbffe8cd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"655642c62ec0f69b587a198297301f1fe2d54aa219dc052e8d8e8d2dbbffe8cd","first_computed_at":"2026-07-05T08:01:18.529155Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:01:18.529155Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ANu2mA7sV9RxJyjDjm1DiksYRQ35sZFbkLFQGwnnx+a+DufNSZYpK60if5fYbHtJ1cba662y24MbNCl3wJM7Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:01:18.529614Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.17879","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0d08ea9190b063d1e7c538e8927c8f6efc9c58239d6fa23791506583d3609282","sha256:687aaa336654dd678f98f5fdba9c194e13461f57f202dd0e7a39aac0bde728a5"],"state_sha256":"0093ef276db49fe1ef58c3d19663a91aa6e3528db6d3f230de188374c8e79f35"}