{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:A33YJYT6XZUKKA2HK37FV2SZ2W","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":"fc3da1fe33b8acf74705b49e90eaebcf298027108796511701cc4127e041b6db","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-09T10:22:42Z","title_canon_sha256":"7aa1d6b7d048145bf2a7c8905cbcd63a41f620ff390ca4f7bf0cd535174d6f0c"},"schema_version":"1.0","source":{"id":"2607.08337","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.08337","created_at":"2026-07-10T01:19:47Z"},{"alias_kind":"arxiv_version","alias_value":"2607.08337v1","created_at":"2026-07-10T01:19:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.08337","created_at":"2026-07-10T01:19:47Z"},{"alias_kind":"pith_short_12","alias_value":"A33YJYT6XZUK","created_at":"2026-07-10T01:19:47Z"},{"alias_kind":"pith_short_16","alias_value":"A33YJYT6XZUKKA2H","created_at":"2026-07-10T01:19:47Z"},{"alias_kind":"pith_short_8","alias_value":"A33YJYT6","created_at":"2026-07-10T01:19:47Z"}],"graph_snapshots":[{"event_id":"sha256:eaeb64384ee480457ad98665c9fad8a4836665771618fcb9fce099e8ea7ba74f","target":"graph","created_at":"2026-07-10T01:19:47Z","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/2607.08337/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion unlearning is essential for mitigating the generation of harmful or copyrighted content in text-to-image models. Current diffusion unlearning techniques determine the model update direction by either using alternatives of the target concept as an anchor or using empty prompts. The anchor-based method relies on manually and semantically-chosen anchors that risk biased unlearning, while the anchor-free method inherently suffers from unrobust unlearning due to unconstrained latent updates. In this work, we theoretically formalize such unstable diffusion unlearning issues under the manif","authors_text":"Jiahao Zeng, Ningning Ding, Siyuan Wen","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-09T10:22:42Z","title":"AutoAnchor: Stable Diffusion Unlearning Using Cross-Attention as a Manifold Surrogate"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.08337","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":"sha256:7351326ef1cd0b0a6509a5ae2de7ac492e90d1039c557400c6ed51d46a30f66b","target":"record","created_at":"2026-07-10T01:19:47Z","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":"fc3da1fe33b8acf74705b49e90eaebcf298027108796511701cc4127e041b6db","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-09T10:22:42Z","title_canon_sha256":"7aa1d6b7d048145bf2a7c8905cbcd63a41f620ff390ca4f7bf0cd535174d6f0c"},"schema_version":"1.0","source":{"id":"2607.08337","kind":"arxiv","version":1}},"canonical_sha256":"06f784e27ebe68a5034756fe5aea59d5b826a9fa55a1e79416ab144d8c7a9613","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"06f784e27ebe68a5034756fe5aea59d5b826a9fa55a1e79416ab144d8c7a9613","first_computed_at":"2026-07-10T01:19:47.562186Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-10T01:19:47.562186Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vsiITG6o1VEROyTr1mF+U12j6UnSAuvy8gCGS9IWXux8j+ZmfKrIEHQ3P22NNZj6GNRKJDEvIQocseS+GPifCQ==","signature_status":"signed_v1","signed_at":"2026-07-10T01:19:47.562589Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.08337","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7351326ef1cd0b0a6509a5ae2de7ac492e90d1039c557400c6ed51d46a30f66b","sha256:eaeb64384ee480457ad98665c9fad8a4836665771618fcb9fce099e8ea7ba74f"],"state_sha256":"1cd1ad0f017c310957e349b5f53cd6db969cb9957291cb451487734c2cd99cdc"}