{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:MOVF2IOHLLM2432ATYN3RHQYIA","short_pith_number":"pith:MOVF2IOH","canonical_record":{"source":{"id":"2307.08220","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2023-07-17T03:45:00Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"71eac6b4fb455347ec581e0fb396a59ee65ffb875c08de85a0a7627f039cf131","abstract_canon_sha256":"beddc6f4bc0685479d9487a883acf2cb7477fcb9ccb316c7506ed6c4a174b65f"},"schema_version":"1.0"},"canonical_sha256":"63aa5d21c75ad9ae6f409e1bb89e184039c5ad3b6c94620dfa4fef1ec4ab6bac","source":{"kind":"arxiv","id":"2307.08220","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.08220","created_at":"2026-07-05T08:59:58Z"},{"alias_kind":"arxiv_version","alias_value":"2307.08220v2","created_at":"2026-07-05T08:59:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.08220","created_at":"2026-07-05T08:59:58Z"},{"alias_kind":"pith_short_12","alias_value":"MOVF2IOHLLM2","created_at":"2026-07-05T08:59:58Z"},{"alias_kind":"pith_short_16","alias_value":"MOVF2IOHLLM2432A","created_at":"2026-07-05T08:59:58Z"},{"alias_kind":"pith_short_8","alias_value":"MOVF2IOH","created_at":"2026-07-05T08:59:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:MOVF2IOHLLM2432ATYN3RHQYIA","target":"record","payload":{"canonical_record":{"source":{"id":"2307.08220","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2023-07-17T03:45:00Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"71eac6b4fb455347ec581e0fb396a59ee65ffb875c08de85a0a7627f039cf131","abstract_canon_sha256":"beddc6f4bc0685479d9487a883acf2cb7477fcb9ccb316c7506ed6c4a174b65f"},"schema_version":"1.0"},"canonical_sha256":"63aa5d21c75ad9ae6f409e1bb89e184039c5ad3b6c94620dfa4fef1ec4ab6bac","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:59:58.897518Z","signature_b64":"VLdS4sPAXKYdfKiuDAzap8sUxV4LACHK9tiqROSCVM3MlN9ecfOaTcVxJIVNrGRPnNLAiRBSGWgL72OvRHkvBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"63aa5d21c75ad9ae6f409e1bb89e184039c5ad3b6c94620dfa4fef1ec4ab6bac","last_reissued_at":"2026-07-05T08:59:58.896950Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:59:58.896950Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.08220","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:59:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BmgoeowN/Cvk0D84BgoRDidl8q6UC3HCSEPLxBybxxdjtDmXI6f9682coU+YtQSH0SHAlPkhuloWEiFNdDPTBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T15:16:35.377467Z"},"content_sha256":"dc92e94ee93c7657dcc4c1978e7c61f250fd685205e2c5c61e0e76e8f9cad822","schema_version":"1.0","event_id":"sha256:dc92e94ee93c7657dcc4c1978e7c61f250fd685205e2c5c61e0e76e8f9cad822"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:MOVF2IOHLLM2432ATYN3RHQYIA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FRANC: A Lightweight Framework for High-Quality Code Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.SE","authors_text":"Beatrice Casey, Joanna C. S. Santos, Mohammed Latif Siddiq","submitted_at":"2023-07-17T03:45:00Z","abstract_excerpt":"In recent years, the use of automated source code generation utilizing transformer-based generative models has expanded, and these models can generate functional code according to the requirements of the developers. However, recent research revealed that these automatically generated source codes can contain vulnerabilities and other quality issues. Despite researchers' and practitioners' attempts to enhance code generation models, retraining and fine-tuning large language models is time-consuming and resource-intensive. Thus, we describe FRANC, a lightweight framework for recommending more se"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.08220","kind":"arxiv","version":2},"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/2307.08220/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":"2026-07-05T08:59:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QZC3S3j9KuhlYzWnMYuQg6kuoZBdt3GzET93NA4qqWs7mcnyLZHeuln6P/wBqv8Jv5As3EdRQ35Yqyt3HxxiAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T15:16:35.378350Z"},"content_sha256":"6290a944575c7feec571c2ed924d8f6965e8ad6d4031922f1304cb275ff0f76d","schema_version":"1.0","event_id":"sha256:6290a944575c7feec571c2ed924d8f6965e8ad6d4031922f1304cb275ff0f76d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MOVF2IOHLLM2432ATYN3RHQYIA/bundle.json","state_url":"https://pith.science/pith/MOVF2IOHLLM2432ATYN3RHQYIA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MOVF2IOHLLM2432ATYN3RHQYIA/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":"2026-08-10T15:16:35Z","links":{"resolver":"https://pith.science/pith/MOVF2IOHLLM2432ATYN3RHQYIA","bundle":"https://pith.science/pith/MOVF2IOHLLM2432ATYN3RHQYIA/bundle.json","state":"https://pith.science/pith/MOVF2IOHLLM2432ATYN3RHQYIA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MOVF2IOHLLM2432ATYN3RHQYIA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:MOVF2IOHLLM2432ATYN3RHQYIA","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":"beddc6f4bc0685479d9487a883acf2cb7477fcb9ccb316c7506ed6c4a174b65f","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2023-07-17T03:45:00Z","title_canon_sha256":"71eac6b4fb455347ec581e0fb396a59ee65ffb875c08de85a0a7627f039cf131"},"schema_version":"1.0","source":{"id":"2307.08220","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.08220","created_at":"2026-07-05T08:59:58Z"},{"alias_kind":"arxiv_version","alias_value":"2307.08220v2","created_at":"2026-07-05T08:59:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.08220","created_at":"2026-07-05T08:59:58Z"},{"alias_kind":"pith_short_12","alias_value":"MOVF2IOHLLM2","created_at":"2026-07-05T08:59:58Z"},{"alias_kind":"pith_short_16","alias_value":"MOVF2IOHLLM2432A","created_at":"2026-07-05T08:59:58Z"},{"alias_kind":"pith_short_8","alias_value":"MOVF2IOH","created_at":"2026-07-05T08:59:58Z"}],"graph_snapshots":[{"event_id":"sha256:6290a944575c7feec571c2ed924d8f6965e8ad6d4031922f1304cb275ff0f76d","target":"graph","created_at":"2026-07-05T08:59:58Z","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/2307.08220/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, the use of automated source code generation utilizing transformer-based generative models has expanded, and these models can generate functional code according to the requirements of the developers. However, recent research revealed that these automatically generated source codes can contain vulnerabilities and other quality issues. Despite researchers' and practitioners' attempts to enhance code generation models, retraining and fine-tuning large language models is time-consuming and resource-intensive. Thus, we describe FRANC, a lightweight framework for recommending more se","authors_text":"Beatrice Casey, Joanna C. S. Santos, Mohammed Latif Siddiq","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2023-07-17T03:45:00Z","title":"FRANC: A Lightweight Framework for High-Quality Code Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.08220","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:dc92e94ee93c7657dcc4c1978e7c61f250fd685205e2c5c61e0e76e8f9cad822","target":"record","created_at":"2026-07-05T08:59:58Z","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":"beddc6f4bc0685479d9487a883acf2cb7477fcb9ccb316c7506ed6c4a174b65f","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2023-07-17T03:45:00Z","title_canon_sha256":"71eac6b4fb455347ec581e0fb396a59ee65ffb875c08de85a0a7627f039cf131"},"schema_version":"1.0","source":{"id":"2307.08220","kind":"arxiv","version":2}},"canonical_sha256":"63aa5d21c75ad9ae6f409e1bb89e184039c5ad3b6c94620dfa4fef1ec4ab6bac","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"63aa5d21c75ad9ae6f409e1bb89e184039c5ad3b6c94620dfa4fef1ec4ab6bac","first_computed_at":"2026-07-05T08:59:58.896950Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:59:58.896950Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VLdS4sPAXKYdfKiuDAzap8sUxV4LACHK9tiqROSCVM3MlN9ecfOaTcVxJIVNrGRPnNLAiRBSGWgL72OvRHkvBw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:59:58.897518Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.08220","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dc92e94ee93c7657dcc4c1978e7c61f250fd685205e2c5c61e0e76e8f9cad822","sha256:6290a944575c7feec571c2ed924d8f6965e8ad6d4031922f1304cb275ff0f76d"],"state_sha256":"525f29de17e7b05c7347c6c3e06bb7c72b1f92ed55a4cef5a8891381832d6cad"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zMzKRDxINnZcaKYavI0daLM5/4ysajldhUph41UcohyjqNQLRDc+1XhOD1N8EypHNEZWa6T7i+m35qQNgWt0Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T15:16:35.384428Z","bundle_sha256":"8f2acafec843cf04f8d90714fc0f126b709439d8f2b1144cae87ff4346a2a8a7"}}