{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JXFLUG4FWPQVPZNJ737TOELP7B","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":"cab981a2dfcd5d8be214da962397dee9e5cd6ac86df75400f5fb8b0494bf56a8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-09T05:19:53Z","title_canon_sha256":"950f644a6e87da62fbd1ad2d36f872130174ae950a0fae0bf9bf349a5556894b"},"schema_version":"1.0","source":{"id":"2502.05780","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.05780","created_at":"2026-07-05T10:47:00Z"},{"alias_kind":"arxiv_version","alias_value":"2502.05780v2","created_at":"2026-07-05T10:47:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.05780","created_at":"2026-07-05T10:47:00Z"},{"alias_kind":"pith_short_12","alias_value":"JXFLUG4FWPQV","created_at":"2026-07-05T10:47:00Z"},{"alias_kind":"pith_short_16","alias_value":"JXFLUG4FWPQVPZNJ","created_at":"2026-07-05T10:47:00Z"},{"alias_kind":"pith_short_8","alias_value":"JXFLUG4F","created_at":"2026-07-05T10:47:00Z"}],"graph_snapshots":[{"event_id":"sha256:f459106367de3881b0a329222f46009686dfae70c5a545849c400524251865e4","target":"graph","created_at":"2026-07-05T10:47:00Z","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/2502.05780/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite graph neural networks' (GNNs) great success in modelling graph-structured data, out-of-distribution (OOD) test instances still pose a great challenge for current GNNs. One of the most effective techniques to detect OOD nodes is to expose the detector model with an additional OOD node-set, yet the extra OOD instances are often difficult to obtain in practice. Recent methods for image data address this problem using OOD data synthesis, typically relying on pre-trained generative models like Stable Diffusion. However, these approaches require vast amounts of additional data, as well as on","authors_text":"Danny Wang, Guangdong Bai, Ruihong Qiu, Zi Huang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-09T05:19:53Z","title":"GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.05780","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:c88278f3f1c0f2ea1a880c1476492abda828554b24ed0bd6d2b0a0eae01701a7","target":"record","created_at":"2026-07-05T10:47:00Z","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":"cab981a2dfcd5d8be214da962397dee9e5cd6ac86df75400f5fb8b0494bf56a8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-09T05:19:53Z","title_canon_sha256":"950f644a6e87da62fbd1ad2d36f872130174ae950a0fae0bf9bf349a5556894b"},"schema_version":"1.0","source":{"id":"2502.05780","kind":"arxiv","version":2}},"canonical_sha256":"4dcaba1b85b3e157e5a9feff37116ff862d95dff7236532f6e40c2a3404bbb05","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4dcaba1b85b3e157e5a9feff37116ff862d95dff7236532f6e40c2a3404bbb05","first_computed_at":"2026-07-05T10:47:00.369162Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:47:00.369162Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TdRF3r5UtI18gB03M2WZR/ubhLNHLdY6vKGHHoeLA8Ig2f8k1GUeapt70uy2urVI0IfEyr6ZcSjaI9uOfUzkBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:47:00.369682Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.05780","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c88278f3f1c0f2ea1a880c1476492abda828554b24ed0bd6d2b0a0eae01701a7","sha256:f459106367de3881b0a329222f46009686dfae70c5a545849c400524251865e4"],"state_sha256":"8f6cb9b120e5e1dffcd0521e7d9c3afc9d7527f94dd13c4b7488935714b31414"}