{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SIW7WMUQRZZET6LTYQ3PUF3RAW","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":"cdab473c631c637ea926ac84d52eb73bd57a283e118d16d772df1c72a33127ee","cross_cats_sorted":["cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-06-04T07:43:04Z","title_canon_sha256":"74a39aa83a698dfd2cd58c89c20f8c7d44894ea7248a363ef9f468885555a9b6"},"schema_version":"1.0","source":{"id":"2506.03651","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.03651","created_at":"2026-07-05T11:19:28Z"},{"alias_kind":"arxiv_version","alias_value":"2506.03651v2","created_at":"2026-07-05T11:19:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.03651","created_at":"2026-07-05T11:19:28Z"},{"alias_kind":"pith_short_12","alias_value":"SIW7WMUQRZZE","created_at":"2026-07-05T11:19:28Z"},{"alias_kind":"pith_short_16","alias_value":"SIW7WMUQRZZET6LT","created_at":"2026-07-05T11:19:28Z"},{"alias_kind":"pith_short_8","alias_value":"SIW7WMUQ","created_at":"2026-07-05T11:19:28Z"}],"graph_snapshots":[{"event_id":"sha256:8bbca5744fd90a4842f8c6e104b1c9f5a34c007d0d139d77b74341b7e5bddb05","target":"graph","created_at":"2026-07-05T11:19:28Z","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/2506.03651/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The quantity and quality of vulnerability datasets are essential for developing deep learning solutions to vulnerability-related tasks. Due to the limited availability of vulnerabilities, a common approach to building such datasets is analyzing security patches in source code. However, existing security patches often suffer from inaccurate labels, insufficient contextual information, and undecidable patches that fail to clearly represent the root causes of vulnerabilities or their fixes. These issues introduce noise into the dataset, which can mislead detection models and undermine their effec","authors_text":"Bolun Zhang, Chao Zhang, Hao Wang, Junlin Zhou, Yi He, Yuxin Cui, Zeyu Gao","cross_cats":["cs.SE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-06-04T07:43:04Z","title":"Mono: Is Your \"Clean\" Vulnerability Dataset Really Solvable? Exposing and Trapping Undecidable Patches and Beyond"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.03651","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:ccfc335731ba26a9cce4edd67b0524fa49a6edc4b4823e85d468af9f3f7c65b1","target":"record","created_at":"2026-07-05T11:19:28Z","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":"cdab473c631c637ea926ac84d52eb73bd57a283e118d16d772df1c72a33127ee","cross_cats_sorted":["cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-06-04T07:43:04Z","title_canon_sha256":"74a39aa83a698dfd2cd58c89c20f8c7d44894ea7248a363ef9f468885555a9b6"},"schema_version":"1.0","source":{"id":"2506.03651","kind":"arxiv","version":2}},"canonical_sha256":"922dfb32908e7249f973c436fa177105b371fb0f4ac2fefa67b32128eeb72be7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"922dfb32908e7249f973c436fa177105b371fb0f4ac2fefa67b32128eeb72be7","first_computed_at":"2026-07-05T11:19:28.276381Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:19:28.276381Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iQRGkdO6IkK1extyL/IhNG7F20cYLI+IKPqarCYeO1KdTVd4MRszTugclBbW1rBr053vuy/RZ0ASBB8uR6+2Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T11:19:28.276900Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.03651","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ccfc335731ba26a9cce4edd67b0524fa49a6edc4b4823e85d468af9f3f7c65b1","sha256:8bbca5744fd90a4842f8c6e104b1c9f5a34c007d0d139d77b74341b7e5bddb05"],"state_sha256":"7a443cdf2bbb7e123bbc469279817a8796f6061fcb45745c4ae85621fd39e625"}