{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:FUJDZIER24HU3YSDD2DMV5NU6U","short_pith_number":"pith:FUJDZIER","canonical_record":{"source":{"id":"2212.13607","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-12-27T20:42:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ee0ab3da144a5661bf6a54717032de5d0dfb4a91d0b0c0fdd86e988b22b54248","abstract_canon_sha256":"3480398e361d446de5d6499aad316e561c42c28ef68f075ea97f54275eef0abe"},"schema_version":"1.0"},"canonical_sha256":"2d123ca091d70f4de2431e86caf5b4f52e998c23c47debfdbf8f15ab3841d60a","source":{"kind":"arxiv","id":"2212.13607","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.13607","created_at":"2026-07-05T05:28:53Z"},{"alias_kind":"arxiv_version","alias_value":"2212.13607v1","created_at":"2026-07-05T05:28:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.13607","created_at":"2026-07-05T05:28:53Z"},{"alias_kind":"pith_short_12","alias_value":"FUJDZIER24HU","created_at":"2026-07-05T05:28:53Z"},{"alias_kind":"pith_short_16","alias_value":"FUJDZIER24HU3YSD","created_at":"2026-07-05T05:28:53Z"},{"alias_kind":"pith_short_8","alias_value":"FUJDZIER","created_at":"2026-07-05T05:28:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:FUJDZIER24HU3YSDD2DMV5NU6U","target":"record","payload":{"canonical_record":{"source":{"id":"2212.13607","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-12-27T20:42:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ee0ab3da144a5661bf6a54717032de5d0dfb4a91d0b0c0fdd86e988b22b54248","abstract_canon_sha256":"3480398e361d446de5d6499aad316e561c42c28ef68f075ea97f54275eef0abe"},"schema_version":"1.0"},"canonical_sha256":"2d123ca091d70f4de2431e86caf5b4f52e998c23c47debfdbf8f15ab3841d60a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:28:53.276922Z","signature_b64":"C3CxLFIgVFeQpf8ITwtbG+qpCSEcuEkzkXf8C5nhrBYkTkprk6S6SMlA6JbIpiTueCBwmEeT8+1rGlv04eeiCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2d123ca091d70f4de2431e86caf5b4f52e998c23c47debfdbf8f15ab3841d60a","last_reissued_at":"2026-07-05T05:28:53.276590Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:28:53.276590Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2212.13607","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:28:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"clR5+0Lv4NcstIG+RNRy6bIFc0AEPJ/C0lcE/iPI+0lm87OprCaD4HXmwFMDrQC7oFIbj6Xw/Hd3fTAOtFAoAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T20:47:33.652607Z"},"content_sha256":"b0eb391f921df83828ed9ec04a0cbc04ae360ede48831b7e2614539afbed2055","schema_version":"1.0","event_id":"sha256:b0eb391f921df83828ed9ec04a0cbc04ae360ede48831b7e2614539afbed2055"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:FUJDZIER24HU3YSDD2DMV5NU6U","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EDoG: Adversarial Edge Detection For Graph Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Alok Lal, Bo Li, Carl A. Gunter, Hanzhang Wang, Xiaojun Xu, Yue Yu","submitted_at":"2022-12-27T20:42:36Z","abstract_excerpt":"Graph Neural Networks (GNNs) have been widely applied to different tasks such as bioinformatics, drug design, and social networks. However, recent studies have shown that GNNs are vulnerable to adversarial attacks which aim to mislead the node or subgraph classification prediction by adding subtle perturbations. Detecting these attacks is challenging due to the small magnitude of perturbation and the discrete nature of graph data. In this paper, we propose a general adversarial edge detection pipeline EDoG without requiring knowledge of the attack strategies based on graph generation. Specific"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.13607","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2212.13607/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:28:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u3NhiFbv7ge+CXoUHtJ2InVK3lhTP1MlRenqrKUZYPBU9Uk+bPqnNK7K/K1zNPNWz32QKV5uNhRv+6W2IA0sDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T20:47:33.652991Z"},"content_sha256":"e185456b175999200434ac6bc053dcd9e1bde55e13a4219587078b9dbe574a54","schema_version":"1.0","event_id":"sha256:e185456b175999200434ac6bc053dcd9e1bde55e13a4219587078b9dbe574a54"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FUJDZIER24HU3YSDD2DMV5NU6U/bundle.json","state_url":"https://pith.science/pith/FUJDZIER24HU3YSDD2DMV5NU6U/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FUJDZIER24HU3YSDD2DMV5NU6U/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-06T20:47:33Z","links":{"resolver":"https://pith.science/pith/FUJDZIER24HU3YSDD2DMV5NU6U","bundle":"https://pith.science/pith/FUJDZIER24HU3YSDD2DMV5NU6U/bundle.json","state":"https://pith.science/pith/FUJDZIER24HU3YSDD2DMV5NU6U/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FUJDZIER24HU3YSDD2DMV5NU6U/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:FUJDZIER24HU3YSDD2DMV5NU6U","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":"3480398e361d446de5d6499aad316e561c42c28ef68f075ea97f54275eef0abe","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-12-27T20:42:36Z","title_canon_sha256":"ee0ab3da144a5661bf6a54717032de5d0dfb4a91d0b0c0fdd86e988b22b54248"},"schema_version":"1.0","source":{"id":"2212.13607","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.13607","created_at":"2026-07-05T05:28:53Z"},{"alias_kind":"arxiv_version","alias_value":"2212.13607v1","created_at":"2026-07-05T05:28:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.13607","created_at":"2026-07-05T05:28:53Z"},{"alias_kind":"pith_short_12","alias_value":"FUJDZIER24HU","created_at":"2026-07-05T05:28:53Z"},{"alias_kind":"pith_short_16","alias_value":"FUJDZIER24HU3YSD","created_at":"2026-07-05T05:28:53Z"},{"alias_kind":"pith_short_8","alias_value":"FUJDZIER","created_at":"2026-07-05T05:28:53Z"}],"graph_snapshots":[{"event_id":"sha256:e185456b175999200434ac6bc053dcd9e1bde55e13a4219587078b9dbe574a54","target":"graph","created_at":"2026-07-05T05:28:53Z","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/2212.13607/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph Neural Networks (GNNs) have been widely applied to different tasks such as bioinformatics, drug design, and social networks. However, recent studies have shown that GNNs are vulnerable to adversarial attacks which aim to mislead the node or subgraph classification prediction by adding subtle perturbations. Detecting these attacks is challenging due to the small magnitude of perturbation and the discrete nature of graph data. In this paper, we propose a general adversarial edge detection pipeline EDoG without requiring knowledge of the attack strategies based on graph generation. Specific","authors_text":"Alok Lal, Bo Li, Carl A. Gunter, Hanzhang Wang, Xiaojun Xu, Yue Yu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-12-27T20:42:36Z","title":"EDoG: Adversarial Edge Detection For Graph Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.13607","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:b0eb391f921df83828ed9ec04a0cbc04ae360ede48831b7e2614539afbed2055","target":"record","created_at":"2026-07-05T05:28:53Z","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":"3480398e361d446de5d6499aad316e561c42c28ef68f075ea97f54275eef0abe","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-12-27T20:42:36Z","title_canon_sha256":"ee0ab3da144a5661bf6a54717032de5d0dfb4a91d0b0c0fdd86e988b22b54248"},"schema_version":"1.0","source":{"id":"2212.13607","kind":"arxiv","version":1}},"canonical_sha256":"2d123ca091d70f4de2431e86caf5b4f52e998c23c47debfdbf8f15ab3841d60a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2d123ca091d70f4de2431e86caf5b4f52e998c23c47debfdbf8f15ab3841d60a","first_computed_at":"2026-07-05T05:28:53.276590Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:28:53.276590Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"C3CxLFIgVFeQpf8ITwtbG+qpCSEcuEkzkXf8C5nhrBYkTkprk6S6SMlA6JbIpiTueCBwmEeT8+1rGlv04eeiCg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:28:53.276922Z","signed_message":"canonical_sha256_bytes"},"source_id":"2212.13607","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b0eb391f921df83828ed9ec04a0cbc04ae360ede48831b7e2614539afbed2055","sha256:e185456b175999200434ac6bc053dcd9e1bde55e13a4219587078b9dbe574a54"],"state_sha256":"080b85ccb168f05fa81b7977aa3d58ee1cf9db94eb72d6303d20559530cf8a21"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4v7OlhJBrFa9BkyIy+L8A8/DZBEk+Ze4JqiHXEL0PqIBGeBM0Cgg7hTFeo54s5j4pXlUZ4lf88S3j7+SXXjMDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T20:47:33.655106Z","bundle_sha256":"407070ec687be2f165bfa969f20cc8811994eef902adb8e170bea44a79f6bba7"}}