{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WRU6N4W3T73G36HWDOBAPXMD77","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":"48a751f0e6deac5d6a3edaaefe2d531e564928c2e7739ded615adafdc034773e","cross_cats_sorted":["cs.CR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-01-16T05:50:42Z","title_canon_sha256":"2a3117e925a3792a5b4243e7e5c777bb6694de8ab99907de26403b22798bf1eb"},"schema_version":"1.0","source":{"id":"2401.08131","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.08131","created_at":"2026-07-05T07:34:07Z"},{"alias_kind":"arxiv_version","alias_value":"2401.08131v1","created_at":"2026-07-05T07:34:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.08131","created_at":"2026-07-05T07:34:07Z"},{"alias_kind":"pith_short_12","alias_value":"WRU6N4W3T73G","created_at":"2026-07-05T07:34:07Z"},{"alias_kind":"pith_short_16","alias_value":"WRU6N4W3T73G36HW","created_at":"2026-07-05T07:34:07Z"},{"alias_kind":"pith_short_8","alias_value":"WRU6N4W3","created_at":"2026-07-05T07:34:07Z"}],"graph_snapshots":[{"event_id":"sha256:da2a3c5165fb60bdacf0a4d1ca4da722d0de2fd5032022c5563d0ed5d331d7e6","target":"graph","created_at":"2026-07-05T07:34:07Z","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/2401.08131/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent years have witnessed a growing focus on automated software vulnerability detection. Notably, deep learning (DL)-based methods, which employ source code for the implicit acquisition of vulnerability patterns, have demonstrated superior performance compared to other approaches. However, the DL-based approaches are still hard to capture the vulnerability-related information from the whole code snippet, since the vulnerable parts usually account for only a small proportion. As evidenced by our experiments, the approaches tend to excessively emphasize semantic information, potentially leadin","authors_text":"Cuiyun Gao, Qing Liao, Ruiqi Wang, Tao Zhang, Xin-Cheng Wen, Xinchen Wang","cross_cats":["cs.CR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-01-16T05:50:42Z","title":"Game Rewards Vulnerabilities: Software Vulnerability Detection with Zero-Sum Game and Prototype Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.08131","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":"sha256:2894c8dbaf41ecb1eb374c03958594ba9716405b11c82b1e901edc6267fa21dd","target":"record","created_at":"2026-07-05T07:34:07Z","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":"48a751f0e6deac5d6a3edaaefe2d531e564928c2e7739ded615adafdc034773e","cross_cats_sorted":["cs.CR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-01-16T05:50:42Z","title_canon_sha256":"2a3117e925a3792a5b4243e7e5c777bb6694de8ab99907de26403b22798bf1eb"},"schema_version":"1.0","source":{"id":"2401.08131","kind":"arxiv","version":1}},"canonical_sha256":"b469e6f2db9ff66df8f61b8207dd83ffd9259b591bacf654433fd18a0efef535","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b469e6f2db9ff66df8f61b8207dd83ffd9259b591bacf654433fd18a0efef535","first_computed_at":"2026-07-05T07:34:07.799799Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:34:07.799799Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lA03RW+alkMkl7YNYRMlsJQP6kjgUmOFgcv31K+p4zAxc16kDz5zB1KvLY9EudSDKlXsGSdc49sfoARogFV2AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:34:07.800940Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.08131","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2894c8dbaf41ecb1eb374c03958594ba9716405b11c82b1e901edc6267fa21dd","sha256:da2a3c5165fb60bdacf0a4d1ca4da722d0de2fd5032022c5563d0ed5d331d7e6"],"state_sha256":"e65a352b42d7ca983b0a1647c2698ba380ef5e5b29039b4549f664a393602228"}