{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:MKQHHFBPVLSQDAEXFHIRMKTI7A","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"b43af521c826937aed556edaddaaea57662ae83e4a144b69fd32216cca356de7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-20T08:16:13Z","title_canon_sha256":"89fed998616abbaae59d1322763e4d5bd7a1aaaa8f7662c885fb773994f3db8e"},"schema_version":"1.0","source":{"id":"2605.20879","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.20879","created_at":"2026-05-21T01:05:26Z"},{"alias_kind":"arxiv_version","alias_value":"2605.20879v1","created_at":"2026-05-21T01:05:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.20879","created_at":"2026-05-21T01:05:26Z"},{"alias_kind":"pith_short_12","alias_value":"MKQHHFBPVLSQ","created_at":"2026-05-21T01:05:26Z"},{"alias_kind":"pith_short_16","alias_value":"MKQHHFBPVLSQDAEX","created_at":"2026-05-21T01:05:26Z"},{"alias_kind":"pith_short_8","alias_value":"MKQHHFBP","created_at":"2026-05-21T01:05:26Z"}],"graph_snapshots":[{"event_id":"sha256:8802d71e468d86e780beb0eb8dccf1f6e194d6f80f209c3216a33fb67eb1d13c","target":"graph","created_at":"2026-05-21T01:05:26Z","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/2605.20879/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph Anomaly Detection (GAD) is increasingly shifting to Generalist GAD (GGAD) for cross-domain \"one-for-all\" detection, but existing GGAD methods predominantly rely on the neighbor consistency principle, falling into the \\textbf{Node-to-Neighbor Consistency Paradigm} for anomaly quantification. These methods suffer from complex training pipelines, heavy training data dependency, high computational costs, and unstable cross-domain generalization. To address these limitations, we propose NeighborDiv, a training-free generalist graph anomaly detection framework based on neighbor diversity. Depa","authors_text":"Kaifeng Wei, Liang Dong, Teng Liu, Xiubo Liang, Yuke Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-20T08:16:13Z","title":"NeighborDiv: Training-free Zero-shot Generalist Graph Anomaly Detection via Neighbor Diversity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.20879","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":"sha256:50de79c6cd59f1b3b62d25b3a3e8b343ed604c520b83cc103cb1d31bf549eb76","target":"record","created_at":"2026-05-21T01:05:26Z","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":"b43af521c826937aed556edaddaaea57662ae83e4a144b69fd32216cca356de7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-20T08:16:13Z","title_canon_sha256":"89fed998616abbaae59d1322763e4d5bd7a1aaaa8f7662c885fb773994f3db8e"},"schema_version":"1.0","source":{"id":"2605.20879","kind":"arxiv","version":1}},"canonical_sha256":"62a073942faae501809729d1162a68f836bf7d801344a08a856e755b346aaecd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"62a073942faae501809729d1162a68f836bf7d801344a08a856e755b346aaecd","first_computed_at":"2026-05-21T01:05:26.089466Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-21T01:05:26.089466Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PIBEh8EO7YSUUhKSQSw8TmIbF/+s1W4SYGiRSMGVOpLdkFqIB1L6TIFCVwvzK69XQFYGSKZnjmBBHPZ1mT0QCQ==","signature_status":"signed_v1","signed_at":"2026-05-21T01:05:26.090235Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.20879","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:50de79c6cd59f1b3b62d25b3a3e8b343ed604c520b83cc103cb1d31bf549eb76","sha256:8802d71e468d86e780beb0eb8dccf1f6e194d6f80f209c3216a33fb67eb1d13c","sha256:a40605d6526ca2de377e0e759a1488282dbd77a84716f55b58e3768d113192c3"],"state_sha256":"7f33a9d270ed1f6a1af5b6b922765e72d85b8d4291da35146e0d5920178d0250"}