{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:STJE45NTBHVJWQFWGROQK7KA3B","short_pith_number":"pith:STJE45NT","canonical_record":{"source":{"id":"2402.04863","kind":"arxiv","version":6},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-02-07T13:58:26Z","cross_cats_sorted":[],"title_canon_sha256":"e1f81f5758536e3b73cdda4f6db59bfb5a7ebcaf68bd69a4e471110238cddf1a","abstract_canon_sha256":"dbf0a681acc0487a61c9f46f7ee92d287b10d87211eef1829e709e713942a3ae"},"schema_version":"1.0"},"canonical_sha256":"94d24e75b309ea9b40b6345d057d40d85ab21dfc4b68d3d6104348f6b3f5e8aa","source":{"kind":"arxiv","id":"2402.04863","version":6},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.04863","created_at":"2026-07-05T10:30:19Z"},{"alias_kind":"arxiv_version","alias_value":"2402.04863v6","created_at":"2026-07-05T10:30:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.04863","created_at":"2026-07-05T10:30:19Z"},{"alias_kind":"pith_short_12","alias_value":"STJE45NTBHVJ","created_at":"2026-07-05T10:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"STJE45NTBHVJWQFW","created_at":"2026-07-05T10:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"STJE45NT","created_at":"2026-07-05T10:30:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:STJE45NTBHVJWQFWGROQK7KA3B","target":"record","payload":{"canonical_record":{"source":{"id":"2402.04863","kind":"arxiv","version":6},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-02-07T13:58:26Z","cross_cats_sorted":[],"title_canon_sha256":"e1f81f5758536e3b73cdda4f6db59bfb5a7ebcaf68bd69a4e471110238cddf1a","abstract_canon_sha256":"dbf0a681acc0487a61c9f46f7ee92d287b10d87211eef1829e709e713942a3ae"},"schema_version":"1.0"},"canonical_sha256":"94d24e75b309ea9b40b6345d057d40d85ab21dfc4b68d3d6104348f6b3f5e8aa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:30:19.441627Z","signature_b64":"eAT+J5k8cPDWU2s9VbNPj7Zlno4QEWc9vQb1gAap/O0qsU2AS8114Z0zRAhsub4T4daww/0T01X33dm5Iw/fBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"94d24e75b309ea9b40b6345d057d40d85ab21dfc4b68d3d6104348f6b3f5e8aa","last_reissued_at":"2026-07-05T10:30:19.441087Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:30:19.441087Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.04863","source_version":6,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:30:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E6yNALG1NJkcVgCaSPgfmuEIC5hTnr0gwPH5ukGwjLUiq+aRhkLa3DUB2IOtHsZE8IUUpXOulPa3TtW6L2o3Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T05:52:45.408432Z"},"content_sha256":"870282e62f977ec74a52099184eb49542f921eb4f333a63cba281fecd2322d4d","schema_version":"1.0","event_id":"sha256:870282e62f977ec74a52099184eb49542f921eb4f333a63cba281fecd2322d4d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:STJE45NTBHVJWQFWGROQK7KA3B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SCLA: Automated Smart Contract Summarization via LLMs and Control Flow Prompt","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Wenkai Li, Xiaoqi Li, Yingjie Mao, Zexin Lu, Zongwei Li","submitted_at":"2024-02-07T13:58:26Z","abstract_excerpt":"Smart contract code summarization is crucial for efficient maintenance and vulnerability mitigation. While many studies use Large Language Models (LLMs) for summarization, their performance still falls short compared to fine-tuned models like CodeT5+ and CodeBERT. Some approaches combine LLMs with data flow analysis but fail to fully capture the hierarchy and control structures of the code, leading to information loss and degraded summarization quality. We propose SCLA, an LLM-based method that enhances summarization by integrating a Control Flow Graph (CFG) and semantic facts from the code's "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.04863","kind":"arxiv","version":6},"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/2402.04863/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":"2026-07-05T10:30:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AxPnGeAfyUBLkCssr6Bd4HchD6S+FG3/zseKLKOYKnMpDpkxmD8MQaWVLFIRBhp960LcUh0pd1Qlkg3/4QHBAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T05:52:45.408977Z"},"content_sha256":"f6d26c7c4d9b97972d0b9ca163dcdf0efc93445eb19e765f08ac6754a57499fc","schema_version":"1.0","event_id":"sha256:f6d26c7c4d9b97972d0b9ca163dcdf0efc93445eb19e765f08ac6754a57499fc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/STJE45NTBHVJWQFWGROQK7KA3B/bundle.json","state_url":"https://pith.science/pith/STJE45NTBHVJWQFWGROQK7KA3B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/STJE45NTBHVJWQFWGROQK7KA3B/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":"2026-08-09T05:52:45Z","links":{"resolver":"https://pith.science/pith/STJE45NTBHVJWQFWGROQK7KA3B","bundle":"https://pith.science/pith/STJE45NTBHVJWQFWGROQK7KA3B/bundle.json","state":"https://pith.science/pith/STJE45NTBHVJWQFWGROQK7KA3B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/STJE45NTBHVJWQFWGROQK7KA3B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:STJE45NTBHVJWQFWGROQK7KA3B","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":"dbf0a681acc0487a61c9f46f7ee92d287b10d87211eef1829e709e713942a3ae","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-02-07T13:58:26Z","title_canon_sha256":"e1f81f5758536e3b73cdda4f6db59bfb5a7ebcaf68bd69a4e471110238cddf1a"},"schema_version":"1.0","source":{"id":"2402.04863","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.04863","created_at":"2026-07-05T10:30:19Z"},{"alias_kind":"arxiv_version","alias_value":"2402.04863v6","created_at":"2026-07-05T10:30:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.04863","created_at":"2026-07-05T10:30:19Z"},{"alias_kind":"pith_short_12","alias_value":"STJE45NTBHVJ","created_at":"2026-07-05T10:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"STJE45NTBHVJWQFW","created_at":"2026-07-05T10:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"STJE45NT","created_at":"2026-07-05T10:30:19Z"}],"graph_snapshots":[{"event_id":"sha256:f6d26c7c4d9b97972d0b9ca163dcdf0efc93445eb19e765f08ac6754a57499fc","target":"graph","created_at":"2026-07-05T10:30:19Z","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/2402.04863/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Smart contract code summarization is crucial for efficient maintenance and vulnerability mitigation. While many studies use Large Language Models (LLMs) for summarization, their performance still falls short compared to fine-tuned models like CodeT5+ and CodeBERT. Some approaches combine LLMs with data flow analysis but fail to fully capture the hierarchy and control structures of the code, leading to information loss and degraded summarization quality. We propose SCLA, an LLM-based method that enhances summarization by integrating a Control Flow Graph (CFG) and semantic facts from the code's ","authors_text":"Wenkai Li, Xiaoqi Li, Yingjie Mao, Zexin Lu, Zongwei Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-02-07T13:58:26Z","title":"SCLA: Automated Smart Contract Summarization via LLMs and Control Flow Prompt"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.04863","kind":"arxiv","version":6},"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":"sha256:870282e62f977ec74a52099184eb49542f921eb4f333a63cba281fecd2322d4d","target":"record","created_at":"2026-07-05T10:30:19Z","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":"dbf0a681acc0487a61c9f46f7ee92d287b10d87211eef1829e709e713942a3ae","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-02-07T13:58:26Z","title_canon_sha256":"e1f81f5758536e3b73cdda4f6db59bfb5a7ebcaf68bd69a4e471110238cddf1a"},"schema_version":"1.0","source":{"id":"2402.04863","kind":"arxiv","version":6}},"canonical_sha256":"94d24e75b309ea9b40b6345d057d40d85ab21dfc4b68d3d6104348f6b3f5e8aa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"94d24e75b309ea9b40b6345d057d40d85ab21dfc4b68d3d6104348f6b3f5e8aa","first_computed_at":"2026-07-05T10:30:19.441087Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:30:19.441087Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eAT+J5k8cPDWU2s9VbNPj7Zlno4QEWc9vQb1gAap/O0qsU2AS8114Z0zRAhsub4T4daww/0T01X33dm5Iw/fBw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:30:19.441627Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.04863","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:870282e62f977ec74a52099184eb49542f921eb4f333a63cba281fecd2322d4d","sha256:f6d26c7c4d9b97972d0b9ca163dcdf0efc93445eb19e765f08ac6754a57499fc"],"state_sha256":"1ab0061c4d35cfce94a38d03942cab51bc88807d88d497c22e0ecfc9ed1b2338"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qFXfVrE15oy5RELN9vZ974LXSsB/vX3at1AgxB4IZMD3H5iZ2FcyMHbn3ApHs02yq2WJybNlbQTW0btzdqP/Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T05:52:45.413694Z","bundle_sha256":"d7b656906d6c1a146fdb04e7e7d8b92ff5a01ae26996c0df142a59da63fc5848"}}