{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:2W6RQZMWCFE5HCISEIG3DTVIKX","short_pith_number":"pith:2W6RQZMW","canonical_record":{"source":{"id":"2402.13946","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-02-21T17:18:25Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"6fc64beea8e9d6080d03725c07199ceb068f3b0f9176f36d33925574eaff84c5","abstract_canon_sha256":"8e9df3fe1ce6cc299fe00e28c2605a6125c48f278994485ee17a86abb1d7fe5f"},"schema_version":"1.0"},"canonical_sha256":"d5bd1865961149d38912220db1cea855dda8a2c42d5d047c656beb8a21d5abf9","source":{"kind":"arxiv","id":"2402.13946","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.13946","created_at":"2026-07-05T07:49:37Z"},{"alias_kind":"arxiv_version","alias_value":"2402.13946v2","created_at":"2026-07-05T07:49:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.13946","created_at":"2026-07-05T07:49:37Z"},{"alias_kind":"pith_short_12","alias_value":"2W6RQZMWCFE5","created_at":"2026-07-05T07:49:37Z"},{"alias_kind":"pith_short_16","alias_value":"2W6RQZMWCFE5HCIS","created_at":"2026-07-05T07:49:37Z"},{"alias_kind":"pith_short_8","alias_value":"2W6RQZMW","created_at":"2026-07-05T07:49:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:2W6RQZMWCFE5HCISEIG3DTVIKX","target":"record","payload":{"canonical_record":{"source":{"id":"2402.13946","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-02-21T17:18:25Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"6fc64beea8e9d6080d03725c07199ceb068f3b0f9176f36d33925574eaff84c5","abstract_canon_sha256":"8e9df3fe1ce6cc299fe00e28c2605a6125c48f278994485ee17a86abb1d7fe5f"},"schema_version":"1.0"},"canonical_sha256":"d5bd1865961149d38912220db1cea855dda8a2c42d5d047c656beb8a21d5abf9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:49:37.315159Z","signature_b64":"kWBhcYciqkLiFM87/Y6B1m5GTAPpugrN/4IJpWbcAmD0ZpsZu9IHl8iLaPB+Jomn3+8pYgKYia33q1JSeQ7vDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d5bd1865961149d38912220db1cea855dda8a2c42d5d047c656beb8a21d5abf9","last_reissued_at":"2026-07-05T07:49:37.314609Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:49:37.314609Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.13946","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:49:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZYlSuNSFWl6/W3EsaRu17drAUrFAI6qgT97SSrhi7aF5oeq/5lPb0oCEbD3/1aYiJF2fbQOAR/tQMCZG8duvAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T19:46:23.307534Z"},"content_sha256":"34758c53d9d860a468fa2f0935cce74b6d1d894fae13e041a283cdf3a0832fce","schema_version":"1.0","event_id":"sha256:34758c53d9d860a468fa2f0935cce74b6d1d894fae13e041a283cdf3a0832fce"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:2W6RQZMWCFE5HCISEIG3DTVIKX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CR"],"primary_cat":"cs.LG","authors_text":"Dileep Kalathil, Jeyavijayan Rajendran, Satwik Patnaik, Vasudev Gohil","submitted_at":"2024-02-21T17:18:25Z","abstract_excerpt":"Machine learning has shown great promise in addressing several critical hardware security problems. In particular, researchers have developed novel graph neural network (GNN)-based techniques for detecting intellectual property (IP) piracy, detecting hardware Trojans (HTs), and reverse engineering circuits, to name a few. These techniques have demonstrated outstanding accuracy and have received much attention in the community. However, since these techniques are used for security applications, it is imperative to evaluate them thoroughly and ensure they are robust and do not compromise the sec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.13946","kind":"arxiv","version":2},"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/2402.13946/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":"2026-07-05T07:49:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zRNAnlAFnd+sAXXAqOOFHJYLFeTnY1lPQhPKGj2Smi1G18JehibENYOeH1vQNYYU2HPvRwRZ6/rA+fUf1NjCBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T19:46:23.310665Z"},"content_sha256":"b7d850a983e1644df6d3054ca068d5c779407424bdd5ce087e3a9d606ef3ced7","schema_version":"1.0","event_id":"sha256:b7d850a983e1644df6d3054ca068d5c779407424bdd5ce087e3a9d606ef3ced7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2W6RQZMWCFE5HCISEIG3DTVIKX/bundle.json","state_url":"https://pith.science/pith/2W6RQZMWCFE5HCISEIG3DTVIKX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2W6RQZMWCFE5HCISEIG3DTVIKX/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":"2026-08-13T19:46:23Z","links":{"resolver":"https://pith.science/pith/2W6RQZMWCFE5HCISEIG3DTVIKX","bundle":"https://pith.science/pith/2W6RQZMWCFE5HCISEIG3DTVIKX/bundle.json","state":"https://pith.science/pith/2W6RQZMWCFE5HCISEIG3DTVIKX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2W6RQZMWCFE5HCISEIG3DTVIKX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2W6RQZMWCFE5HCISEIG3DTVIKX","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":"8e9df3fe1ce6cc299fe00e28c2605a6125c48f278994485ee17a86abb1d7fe5f","cross_cats_sorted":["cs.CR"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-02-21T17:18:25Z","title_canon_sha256":"6fc64beea8e9d6080d03725c07199ceb068f3b0f9176f36d33925574eaff84c5"},"schema_version":"1.0","source":{"id":"2402.13946","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.13946","created_at":"2026-07-05T07:49:37Z"},{"alias_kind":"arxiv_version","alias_value":"2402.13946v2","created_at":"2026-07-05T07:49:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.13946","created_at":"2026-07-05T07:49:37Z"},{"alias_kind":"pith_short_12","alias_value":"2W6RQZMWCFE5","created_at":"2026-07-05T07:49:37Z"},{"alias_kind":"pith_short_16","alias_value":"2W6RQZMWCFE5HCIS","created_at":"2026-07-05T07:49:37Z"},{"alias_kind":"pith_short_8","alias_value":"2W6RQZMW","created_at":"2026-07-05T07:49:37Z"}],"graph_snapshots":[{"event_id":"sha256:b7d850a983e1644df6d3054ca068d5c779407424bdd5ce087e3a9d606ef3ced7","target":"graph","created_at":"2026-07-05T07:49:37Z","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/2402.13946/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning has shown great promise in addressing several critical hardware security problems. In particular, researchers have developed novel graph neural network (GNN)-based techniques for detecting intellectual property (IP) piracy, detecting hardware Trojans (HTs), and reverse engineering circuits, to name a few. These techniques have demonstrated outstanding accuracy and have received much attention in the community. However, since these techniques are used for security applications, it is imperative to evaluate them thoroughly and ensure they are robust and do not compromise the sec","authors_text":"Dileep Kalathil, Jeyavijayan Rajendran, Satwik Patnaik, Vasudev Gohil","cross_cats":["cs.CR"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-02-21T17:18:25Z","title":"AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.13946","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":"sha256:34758c53d9d860a468fa2f0935cce74b6d1d894fae13e041a283cdf3a0832fce","target":"record","created_at":"2026-07-05T07:49:37Z","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":"8e9df3fe1ce6cc299fe00e28c2605a6125c48f278994485ee17a86abb1d7fe5f","cross_cats_sorted":["cs.CR"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-02-21T17:18:25Z","title_canon_sha256":"6fc64beea8e9d6080d03725c07199ceb068f3b0f9176f36d33925574eaff84c5"},"schema_version":"1.0","source":{"id":"2402.13946","kind":"arxiv","version":2}},"canonical_sha256":"d5bd1865961149d38912220db1cea855dda8a2c42d5d047c656beb8a21d5abf9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d5bd1865961149d38912220db1cea855dda8a2c42d5d047c656beb8a21d5abf9","first_computed_at":"2026-07-05T07:49:37.314609Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:49:37.314609Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kWBhcYciqkLiFM87/Y6B1m5GTAPpugrN/4IJpWbcAmD0ZpsZu9IHl8iLaPB+Jomn3+8pYgKYia33q1JSeQ7vDg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:49:37.315159Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.13946","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:34758c53d9d860a468fa2f0935cce74b6d1d894fae13e041a283cdf3a0832fce","sha256:b7d850a983e1644df6d3054ca068d5c779407424bdd5ce087e3a9d606ef3ced7"],"state_sha256":"83f0590d073d6db34c33f58a71aa5470247d8e5bf9d712e6e5f7dfb849990f9f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+RpPbpSEQY0giMul7pIZc+WkDkDCBpdSbQz+m/WUEHk0M4OOE0N6f+aH1ZeqPVIFVJVHZiQDna8fRzAPR6HiBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T19:46:23.327514Z","bundle_sha256":"173119b8a2cd84a2243aacbe898deb852e54b3d05788e84d75b64b7973e31775"}}