{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:OSCIL4HDQJA5YOJSJHPJ4VZ36L","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":"2e863109193c4fae56fbaca3ed4b3dba00b8e82b543621df42fa9307f0624e52","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2023-06-25T08:22:10Z","title_canon_sha256":"d61e9f99fdbc6cd0fecfa6b4e2871f8c4dbf3b4735a7538c7eecd208191c4466"},"schema_version":"1.0","source":{"id":"2306.14168","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.14168","created_at":"2026-07-05T06:24:32Z"},{"alias_kind":"arxiv_version","alias_value":"2306.14168v1","created_at":"2026-07-05T06:24:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.14168","created_at":"2026-07-05T06:24:32Z"},{"alias_kind":"pith_short_12","alias_value":"OSCIL4HDQJA5","created_at":"2026-07-05T06:24:32Z"},{"alias_kind":"pith_short_16","alias_value":"OSCIL4HDQJA5YOJS","created_at":"2026-07-05T06:24:32Z"},{"alias_kind":"pith_short_8","alias_value":"OSCIL4HD","created_at":"2026-07-05T06:24:32Z"}],"graph_snapshots":[{"event_id":"sha256:14edd5d77adce525588e01a870242242e631cd688e26ddae8b0885b6d8e0896f","target":"graph","created_at":"2026-07-05T06:24:32Z","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/2306.14168/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Binary code similarity detection (BCSD) has various applications, including but not limited to vulnerability detection, plagiarism detection, and malware detection. Previous research efforts mainly focus on transforming binary code to assembly code strings using reverse compilation and then using pre-trained deep learning models with large parameters to obtain feature representation vector of binary code. While these models have proven to be effective in representing binary code, their large parameter size leads to considerable computational expenses during both training and inference. In this","authors_text":"Chensen Huang, Guibo Zhu, Guojing Ge, Jinqiao Wang, Taihao Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2023-06-25T08:22:10Z","title":"FastBCSD: Fast and Efficient Neural Network for Binary Code Similarity Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.14168","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":"sha256:4f4426e1a2f0b5ae7619ae1bb3c54b7e6f1863bb4aa71800762fdcda9cad77d4","target":"record","created_at":"2026-07-05T06:24:32Z","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":"2e863109193c4fae56fbaca3ed4b3dba00b8e82b543621df42fa9307f0624e52","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2023-06-25T08:22:10Z","title_canon_sha256":"d61e9f99fdbc6cd0fecfa6b4e2871f8c4dbf3b4735a7538c7eecd208191c4466"},"schema_version":"1.0","source":{"id":"2306.14168","kind":"arxiv","version":1}},"canonical_sha256":"748485f0e38241dc393249de9e573bf2de9210bd1eeb5b00c0ef7f23491e8522","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"748485f0e38241dc393249de9e573bf2de9210bd1eeb5b00c0ef7f23491e8522","first_computed_at":"2026-07-05T06:24:32.369483Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:24:32.369483Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CN2x1xyb24hARRVexNCyPw5Ga9zt9eSJ4WRUXI8OzNvj6ZfCyO9S0gZ/263FXVo6+1ocn+TpMUKv4yBGpXaeAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:24:32.369927Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.14168","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4f4426e1a2f0b5ae7619ae1bb3c54b7e6f1863bb4aa71800762fdcda9cad77d4","sha256:14edd5d77adce525588e01a870242242e631cd688e26ddae8b0885b6d8e0896f"],"state_sha256":"3a6fcb06039811ff7cbf7164f439fd522751ccadb44fceb75bbf58dd6cbc04d3"}