{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:EE52Y7HH7F6Y3V5IHIOR3TU3W3","short_pith_number":"pith:EE52Y7HH","canonical_record":{"source":{"id":"2412.10164","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-12-13T14:27:51Z","cross_cats_sorted":[],"title_canon_sha256":"d10e56898d2ac37ae146fac73742a04643fb99ca7295c55919fe51183f6d71ad","abstract_canon_sha256":"f04759d82273a03e366f3413a411a2692c15546b7adfd865056add186c451067"},"schema_version":"1.0"},"canonical_sha256":"213bac7ce7f97d8dd7a83a1d1dce9bb6e1cd032e4d0882da1b8f10f72624e527","source":{"kind":"arxiv","id":"2412.10164","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.10164","created_at":"2026-07-05T09:48:48Z"},{"alias_kind":"arxiv_version","alias_value":"2412.10164v1","created_at":"2026-07-05T09:48:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.10164","created_at":"2026-07-05T09:48:48Z"},{"alias_kind":"pith_short_12","alias_value":"EE52Y7HH7F6Y","created_at":"2026-07-05T09:48:48Z"},{"alias_kind":"pith_short_16","alias_value":"EE52Y7HH7F6Y3V5I","created_at":"2026-07-05T09:48:48Z"},{"alias_kind":"pith_short_8","alias_value":"EE52Y7HH","created_at":"2026-07-05T09:48:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:EE52Y7HH7F6Y3V5IHIOR3TU3W3","target":"record","payload":{"canonical_record":{"source":{"id":"2412.10164","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-12-13T14:27:51Z","cross_cats_sorted":[],"title_canon_sha256":"d10e56898d2ac37ae146fac73742a04643fb99ca7295c55919fe51183f6d71ad","abstract_canon_sha256":"f04759d82273a03e366f3413a411a2692c15546b7adfd865056add186c451067"},"schema_version":"1.0"},"canonical_sha256":"213bac7ce7f97d8dd7a83a1d1dce9bb6e1cd032e4d0882da1b8f10f72624e527","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:48:48.105984Z","signature_b64":"YkfqeMho+qhS5Iju3V+fel8d84RPHJWqRjWVLcaAjGAq0Nsq3mGJzp3uoFBM7loxG7t/zP9Lo/2FjDZ96vb3DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"213bac7ce7f97d8dd7a83a1d1dce9bb6e1cd032e4d0882da1b8f10f72624e527","last_reissued_at":"2026-07-05T09:48:48.105528Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:48:48.105528Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.10164","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":"2026-07-05T09:48:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XttMGKktoTVGeb/x7CiZdOS1dHJilAU7BcZCzpD4iw66ZT7EsKPNdWwzVfO296QA45577rdkGCyItBMshaTjDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T04:53:28.239681Z"},"content_sha256":"1b8d6a2ee1eb1c618f0fae3afa31d25f7ec17626371634699e175b0edb7c3657","schema_version":"1.0","event_id":"sha256:1b8d6a2ee1eb1c618f0fae3afa31d25f7ec17626371634699e175b0edb7c3657"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:EE52Y7HH7F6Y3V5IHIOR3TU3W3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Keep It Simple: Towards Accurate Vulnerability Detection for Large Code Graphs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Bo Lin, Liqian Chen, Shangwen Wang, Xiaoguang Mao, Xin Peng, Yihao Qin","submitted_at":"2024-12-13T14:27:51Z","abstract_excerpt":"Software vulnerability detection is crucial for high-quality software development. Recently, some studies utilizing Graph Neural Networks (GNNs) to learn the graph representation of code in vulnerability detection tasks have achieved remarkable success. However, existing graph-based approaches mainly face two limitations that prevent them from generalizing well to large code graphs: (1) the interference of noise information in the code graph; (2) the difficulty in capturing long-distance dependencies within the graph. To mitigate these problems, we propose a novel vulnerability detection metho"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.10164","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/2412.10164/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":"2026-07-05T09:48:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mldWTF+Q2iycXbOAdDIJgJsXpKhx0zRlnRGNAUW89D95f7m9stus2HEn4bkaw/LVYUn8U9pJqdShFHUgBHguBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T04:53:28.240664Z"},"content_sha256":"24c38861dd7f835d2242f68b0d5406047b17c2c868825a716234cc2406850a94","schema_version":"1.0","event_id":"sha256:24c38861dd7f835d2242f68b0d5406047b17c2c868825a716234cc2406850a94"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EE52Y7HH7F6Y3V5IHIOR3TU3W3/bundle.json","state_url":"https://pith.science/pith/EE52Y7HH7F6Y3V5IHIOR3TU3W3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EE52Y7HH7F6Y3V5IHIOR3TU3W3/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":"2026-08-20T04:53:28Z","links":{"resolver":"https://pith.science/pith/EE52Y7HH7F6Y3V5IHIOR3TU3W3","bundle":"https://pith.science/pith/EE52Y7HH7F6Y3V5IHIOR3TU3W3/bundle.json","state":"https://pith.science/pith/EE52Y7HH7F6Y3V5IHIOR3TU3W3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EE52Y7HH7F6Y3V5IHIOR3TU3W3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:EE52Y7HH7F6Y3V5IHIOR3TU3W3","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":"f04759d82273a03e366f3413a411a2692c15546b7adfd865056add186c451067","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-12-13T14:27:51Z","title_canon_sha256":"d10e56898d2ac37ae146fac73742a04643fb99ca7295c55919fe51183f6d71ad"},"schema_version":"1.0","source":{"id":"2412.10164","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.10164","created_at":"2026-07-05T09:48:48Z"},{"alias_kind":"arxiv_version","alias_value":"2412.10164v1","created_at":"2026-07-05T09:48:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.10164","created_at":"2026-07-05T09:48:48Z"},{"alias_kind":"pith_short_12","alias_value":"EE52Y7HH7F6Y","created_at":"2026-07-05T09:48:48Z"},{"alias_kind":"pith_short_16","alias_value":"EE52Y7HH7F6Y3V5I","created_at":"2026-07-05T09:48:48Z"},{"alias_kind":"pith_short_8","alias_value":"EE52Y7HH","created_at":"2026-07-05T09:48:48Z"}],"graph_snapshots":[{"event_id":"sha256:24c38861dd7f835d2242f68b0d5406047b17c2c868825a716234cc2406850a94","target":"graph","created_at":"2026-07-05T09:48:48Z","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/2412.10164/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Software vulnerability detection is crucial for high-quality software development. Recently, some studies utilizing Graph Neural Networks (GNNs) to learn the graph representation of code in vulnerability detection tasks have achieved remarkable success. However, existing graph-based approaches mainly face two limitations that prevent them from generalizing well to large code graphs: (1) the interference of noise information in the code graph; (2) the difficulty in capturing long-distance dependencies within the graph. To mitigate these problems, we propose a novel vulnerability detection metho","authors_text":"Bo Lin, Liqian Chen, Shangwen Wang, Xiaoguang Mao, Xin Peng, Yihao Qin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-12-13T14:27:51Z","title":"Keep It Simple: Towards Accurate Vulnerability Detection for Large Code Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.10164","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":"sha256:1b8d6a2ee1eb1c618f0fae3afa31d25f7ec17626371634699e175b0edb7c3657","target":"record","created_at":"2026-07-05T09:48:48Z","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":"f04759d82273a03e366f3413a411a2692c15546b7adfd865056add186c451067","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-12-13T14:27:51Z","title_canon_sha256":"d10e56898d2ac37ae146fac73742a04643fb99ca7295c55919fe51183f6d71ad"},"schema_version":"1.0","source":{"id":"2412.10164","kind":"arxiv","version":1}},"canonical_sha256":"213bac7ce7f97d8dd7a83a1d1dce9bb6e1cd032e4d0882da1b8f10f72624e527","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"213bac7ce7f97d8dd7a83a1d1dce9bb6e1cd032e4d0882da1b8f10f72624e527","first_computed_at":"2026-07-05T09:48:48.105528Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:48:48.105528Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YkfqeMho+qhS5Iju3V+fel8d84RPHJWqRjWVLcaAjGAq0Nsq3mGJzp3uoFBM7loxG7t/zP9Lo/2FjDZ96vb3DA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:48:48.105984Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.10164","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1b8d6a2ee1eb1c618f0fae3afa31d25f7ec17626371634699e175b0edb7c3657","sha256:24c38861dd7f835d2242f68b0d5406047b17c2c868825a716234cc2406850a94"],"state_sha256":"e3faa65c0e9d9ffb95c220519e4a0370f554363fda34ff51ad2fbd384d490912"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b2ygr672eWyfferJzTTks7fMqvou7+g36QXfnjPoWACrPC5mLZkEaN1yYkPkNtwmfkrzwlm86KcQRNTXXBWGBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T04:53:28.246534Z","bundle_sha256":"053d37126f3b926c12b07c56edf0604fe31aa2a059541956c505d127f6a2c89f"}}