{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:V5XGJV2LLWDXLWW5GP7CX7OC43","short_pith_number":"pith:V5XGJV2L","canonical_record":{"source":{"id":"2411.11532","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-11-18T12:41:16Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"bc5ca39d19478cf5b98342ab277473e5693a11c61188f0fcbc347b5e0d98a831","abstract_canon_sha256":"695806ef38247256b9914a441648ae5dceb33348b57e79154ddc8b23e0f87b31"},"schema_version":"1.0"},"canonical_sha256":"af6e64d74b5d8775dadd33fe2bfdc2e6ed5ce8e68871b6cba0c11ec846c6ae19","source":{"kind":"arxiv","id":"2411.11532","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.11532","created_at":"2026-07-05T09:52:18Z"},{"alias_kind":"arxiv_version","alias_value":"2411.11532v3","created_at":"2026-07-05T09:52:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.11532","created_at":"2026-07-05T09:52:18Z"},{"alias_kind":"pith_short_12","alias_value":"V5XGJV2LLWDX","created_at":"2026-07-05T09:52:18Z"},{"alias_kind":"pith_short_16","alias_value":"V5XGJV2LLWDXLWW5","created_at":"2026-07-05T09:52:18Z"},{"alias_kind":"pith_short_8","alias_value":"V5XGJV2L","created_at":"2026-07-05T09:52:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:V5XGJV2LLWDXLWW5GP7CX7OC43","target":"record","payload":{"canonical_record":{"source":{"id":"2411.11532","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-11-18T12:41:16Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"bc5ca39d19478cf5b98342ab277473e5693a11c61188f0fcbc347b5e0d98a831","abstract_canon_sha256":"695806ef38247256b9914a441648ae5dceb33348b57e79154ddc8b23e0f87b31"},"schema_version":"1.0"},"canonical_sha256":"af6e64d74b5d8775dadd33fe2bfdc2e6ed5ce8e68871b6cba0c11ec846c6ae19","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:52:18.207844Z","signature_b64":"cY1WAXauZiO4ANmZChKM4YAxn7RT1kFcym195vBmCYXPne1S7+BdTV6padiHAYsIa5WWSEm7hBBJNJu4ohrPCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"af6e64d74b5d8775dadd33fe2bfdc2e6ed5ce8e68871b6cba0c11ec846c6ae19","last_reissued_at":"2026-07-05T09:52:18.207385Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:52:18.207385Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.11532","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:52:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O5P1kPPxoVg3FjW/ngjkK8cwXhkm4n4/nbneFx/Ww+yH2z+UZABOxUBH1Lr5dbfBU8w1YF4mVllB4AOrTdx/AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T22:25:09.463988Z"},"content_sha256":"32bd4cf32b1edba19e80d9fd2d57332521843a824ecd9f0d5190a8ae1a9c59e8","schema_version":"1.0","event_id":"sha256:32bd4cf32b1edba19e80d9fd2d57332521843a824ecd9f0d5190a8ae1a9c59e8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:V5XGJV2LLWDXLWW5GP7CX7OC43","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR"],"primary_cat":"cs.SE","authors_text":"Hanxiang Xu, Haoyu Wang, Kai Chen, Qiang Hu, Ting Zhou, Wei Ma, Yang Liu, Yanjie Zhao","submitted_at":"2024-11-18T12:41:16Z","abstract_excerpt":"In recent years, the programming capabilities of large language models (LLMs) have garnered significant attention. Fuzz testing, a highly effective technique, plays a key role in enhancing software reliability and detecting vulnerabilities. However, traditional fuzz testing tools rely on manually crafted fuzz drivers, which can limit both testing efficiency and effectiveness. To address this challenge, we propose an automated fuzz testing method driven by a code knowledge graph and powered by an LLM-based intelligent agent system, referred to as CKGFuzzer. We approach fuzz driver creation as a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.11532","kind":"arxiv","version":3},"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/2411.11532/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":"2026-07-05T09:52:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Aq8Wdmtm7bwHlXBHcK5+Ar5Dj1gov3mLfkng7PJ8Bu9kve0wsne5s3FkHzbqi3p3WCywDUL/hXxQFRc+kWd3Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T22:25:09.464586Z"},"content_sha256":"dacaa8a397d3430514f4197e9ea32b66b197e50494276da741ff5d07ce7a2f93","schema_version":"1.0","event_id":"sha256:dacaa8a397d3430514f4197e9ea32b66b197e50494276da741ff5d07ce7a2f93"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/V5XGJV2LLWDXLWW5GP7CX7OC43/bundle.json","state_url":"https://pith.science/pith/V5XGJV2LLWDXLWW5GP7CX7OC43/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/V5XGJV2LLWDXLWW5GP7CX7OC43/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":"2026-08-09T22:25:09Z","links":{"resolver":"https://pith.science/pith/V5XGJV2LLWDXLWW5GP7CX7OC43","bundle":"https://pith.science/pith/V5XGJV2LLWDXLWW5GP7CX7OC43/bundle.json","state":"https://pith.science/pith/V5XGJV2LLWDXLWW5GP7CX7OC43/state.json","well_known_bundle":"https://pith.science/.well-known/pith/V5XGJV2LLWDXLWW5GP7CX7OC43/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:V5XGJV2LLWDXLWW5GP7CX7OC43","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":"695806ef38247256b9914a441648ae5dceb33348b57e79154ddc8b23e0f87b31","cross_cats_sorted":["cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-11-18T12:41:16Z","title_canon_sha256":"bc5ca39d19478cf5b98342ab277473e5693a11c61188f0fcbc347b5e0d98a831"},"schema_version":"1.0","source":{"id":"2411.11532","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.11532","created_at":"2026-07-05T09:52:18Z"},{"alias_kind":"arxiv_version","alias_value":"2411.11532v3","created_at":"2026-07-05T09:52:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.11532","created_at":"2026-07-05T09:52:18Z"},{"alias_kind":"pith_short_12","alias_value":"V5XGJV2LLWDX","created_at":"2026-07-05T09:52:18Z"},{"alias_kind":"pith_short_16","alias_value":"V5XGJV2LLWDXLWW5","created_at":"2026-07-05T09:52:18Z"},{"alias_kind":"pith_short_8","alias_value":"V5XGJV2L","created_at":"2026-07-05T09:52:18Z"}],"graph_snapshots":[{"event_id":"sha256:dacaa8a397d3430514f4197e9ea32b66b197e50494276da741ff5d07ce7a2f93","target":"graph","created_at":"2026-07-05T09:52:18Z","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/2411.11532/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, the programming capabilities of large language models (LLMs) have garnered significant attention. Fuzz testing, a highly effective technique, plays a key role in enhancing software reliability and detecting vulnerabilities. However, traditional fuzz testing tools rely on manually crafted fuzz drivers, which can limit both testing efficiency and effectiveness. To address this challenge, we propose an automated fuzz testing method driven by a code knowledge graph and powered by an LLM-based intelligent agent system, referred to as CKGFuzzer. We approach fuzz driver creation as a","authors_text":"Hanxiang Xu, Haoyu Wang, Kai Chen, Qiang Hu, Ting Zhou, Wei Ma, Yang Liu, Yanjie Zhao","cross_cats":["cs.CR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-11-18T12:41:16Z","title":"CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.11532","kind":"arxiv","version":3},"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":"sha256:32bd4cf32b1edba19e80d9fd2d57332521843a824ecd9f0d5190a8ae1a9c59e8","target":"record","created_at":"2026-07-05T09:52:18Z","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":"695806ef38247256b9914a441648ae5dceb33348b57e79154ddc8b23e0f87b31","cross_cats_sorted":["cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-11-18T12:41:16Z","title_canon_sha256":"bc5ca39d19478cf5b98342ab277473e5693a11c61188f0fcbc347b5e0d98a831"},"schema_version":"1.0","source":{"id":"2411.11532","kind":"arxiv","version":3}},"canonical_sha256":"af6e64d74b5d8775dadd33fe2bfdc2e6ed5ce8e68871b6cba0c11ec846c6ae19","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"af6e64d74b5d8775dadd33fe2bfdc2e6ed5ce8e68871b6cba0c11ec846c6ae19","first_computed_at":"2026-07-05T09:52:18.207385Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:52:18.207385Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cY1WAXauZiO4ANmZChKM4YAxn7RT1kFcym195vBmCYXPne1S7+BdTV6padiHAYsIa5WWSEm7hBBJNJu4ohrPCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:52:18.207844Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.11532","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:32bd4cf32b1edba19e80d9fd2d57332521843a824ecd9f0d5190a8ae1a9c59e8","sha256:dacaa8a397d3430514f4197e9ea32b66b197e50494276da741ff5d07ce7a2f93"],"state_sha256":"73edfa7a61b6bdc380f6a20e73c135e0153d3e5872a5fed3982731f9daa42929"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YjFiOzGO1ZLbE39zMLlgX6TE7oFxfuh4/rXXZGNjZMWlHg7YtlLuSxQsDpBoomG66LhaRzjxeFXCeg17ZCFxAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T22:25:09.469074Z","bundle_sha256":"9dd7b2a72d6a628bb8a7d67b1813722abf5fdc6ca710b79757cf2921febbb2ae"}}