{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:SCQIUO33AACYHPQELNTOLXCEBX","short_pith_number":"pith:SCQIUO33","canonical_record":{"source":{"id":"2402.04380","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-02-06T20:38:46Z","cross_cats_sorted":[],"title_canon_sha256":"70e0245b530056c71f231445da1f2e1fac0005ea3b10c01c1da22cff032eb8c5","abstract_canon_sha256":"4530c47131b96d3a853f8353cebf2a87b7ba81f3765f65c0073c8a2b93f138b5"},"schema_version":"1.0"},"canonical_sha256":"90a08a3b7b000583be045b66e5dc440dfd4b2d0a1a0f82a0b84d01a6760ee52e","source":{"kind":"arxiv","id":"2402.04380","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.04380","created_at":"2026-07-05T07:42:25Z"},{"alias_kind":"arxiv_version","alias_value":"2402.04380v1","created_at":"2026-07-05T07:42:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.04380","created_at":"2026-07-05T07:42:25Z"},{"alias_kind":"pith_short_12","alias_value":"SCQIUO33AACY","created_at":"2026-07-05T07:42:25Z"},{"alias_kind":"pith_short_16","alias_value":"SCQIUO33AACYHPQE","created_at":"2026-07-05T07:42:25Z"},{"alias_kind":"pith_short_8","alias_value":"SCQIUO33","created_at":"2026-07-05T07:42:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:SCQIUO33AACYHPQELNTOLXCEBX","target":"record","payload":{"canonical_record":{"source":{"id":"2402.04380","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-02-06T20:38:46Z","cross_cats_sorted":[],"title_canon_sha256":"70e0245b530056c71f231445da1f2e1fac0005ea3b10c01c1da22cff032eb8c5","abstract_canon_sha256":"4530c47131b96d3a853f8353cebf2a87b7ba81f3765f65c0073c8a2b93f138b5"},"schema_version":"1.0"},"canonical_sha256":"90a08a3b7b000583be045b66e5dc440dfd4b2d0a1a0f82a0b84d01a6760ee52e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:42:25.884906Z","signature_b64":"60M8OfvyzEBQfyiSeiy6rwXCEfPZJML7BNiJFUsg8SKPxvWsMt2YZDQM5DLSpf3T+c0DmVOwXRWAvuiLSloBAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"90a08a3b7b000583be045b66e5dc440dfd4b2d0a1a0f82a0b84d01a6760ee52e","last_reissued_at":"2026-07-05T07:42:25.884415Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:42:25.884415Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.04380","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:42:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"89jFPypb7jAKuFzUHW3uia/85/EXROjRU7GbtAn20vYf6GEal9NNea8hb0P6M70FpZBf27fwYdDmgCuZou90Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-16T05:37:01.099116Z"},"content_sha256":"726fc5ab226ef653ec5a9d186109b3c3e0c93d41e6b7c6ceeafbb5c520ca0e13","schema_version":"1.0","event_id":"sha256:726fc5ab226ef653ec5a9d186109b3c3e0c93d41e6b7c6ceeafbb5c520ca0e13"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:SCQIUO33AACYHPQELNTOLXCEBX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Assured LLM-Based Software Engineering","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Alexandru Marginean, Eddy Wang, Inna Harper, Mark Harman, Nadia Alshahwan, Shubho Sengupta","submitted_at":"2024-02-06T20:38:46Z","abstract_excerpt":"In this paper we address the following question: How can we use Large Language Models (LLMs) to improve code independently of a human, while ensuring that the improved code\n  - does not regress the properties of the original code?\n  - improves the original in a verifiable and measurable way?\n  To address this question, we advocate Assured LLM-Based Software Engineering; a generate-and-test approach, inspired by Genetic Improvement. Assured LLMSE applies a series of semantic filters that discard code that fails to meet these twin guarantees. This overcomes the potential problem of LLM's propens"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.04380","kind":"arxiv","version":1},"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/2402.04380/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":"2026-07-05T07:42:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EfBVjp84sIFDsxjCj4rrK29WLV5o1YOSsmBUP4onRVZwxevTTYZ+ZMkwmixf+aM8W7zpluS6BJ6TNPvyy5sABg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-16T05:37:01.099496Z"},"content_sha256":"bcc0b52b922c18fd6ef7a92407d82fcd799d2dbbca6505409a462a72221ac133","schema_version":"1.0","event_id":"sha256:bcc0b52b922c18fd6ef7a92407d82fcd799d2dbbca6505409a462a72221ac133"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SCQIUO33AACYHPQELNTOLXCEBX/bundle.json","state_url":"https://pith.science/pith/SCQIUO33AACYHPQELNTOLXCEBX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SCQIUO33AACYHPQELNTOLXCEBX/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":"2026-07-16T05:37:01Z","links":{"resolver":"https://pith.science/pith/SCQIUO33AACYHPQELNTOLXCEBX","bundle":"https://pith.science/pith/SCQIUO33AACYHPQELNTOLXCEBX/bundle.json","state":"https://pith.science/pith/SCQIUO33AACYHPQELNTOLXCEBX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SCQIUO33AACYHPQELNTOLXCEBX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SCQIUO33AACYHPQELNTOLXCEBX","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":"4530c47131b96d3a853f8353cebf2a87b7ba81f3765f65c0073c8a2b93f138b5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-02-06T20:38:46Z","title_canon_sha256":"70e0245b530056c71f231445da1f2e1fac0005ea3b10c01c1da22cff032eb8c5"},"schema_version":"1.0","source":{"id":"2402.04380","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.04380","created_at":"2026-07-05T07:42:25Z"},{"alias_kind":"arxiv_version","alias_value":"2402.04380v1","created_at":"2026-07-05T07:42:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.04380","created_at":"2026-07-05T07:42:25Z"},{"alias_kind":"pith_short_12","alias_value":"SCQIUO33AACY","created_at":"2026-07-05T07:42:25Z"},{"alias_kind":"pith_short_16","alias_value":"SCQIUO33AACYHPQE","created_at":"2026-07-05T07:42:25Z"},{"alias_kind":"pith_short_8","alias_value":"SCQIUO33","created_at":"2026-07-05T07:42:25Z"}],"graph_snapshots":[{"event_id":"sha256:bcc0b52b922c18fd6ef7a92407d82fcd799d2dbbca6505409a462a72221ac133","target":"graph","created_at":"2026-07-05T07:42:25Z","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/2402.04380/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper we address the following question: How can we use Large Language Models (LLMs) to improve code independently of a human, while ensuring that the improved code\n  - does not regress the properties of the original code?\n  - improves the original in a verifiable and measurable way?\n  To address this question, we advocate Assured LLM-Based Software Engineering; a generate-and-test approach, inspired by Genetic Improvement. Assured LLMSE applies a series of semantic filters that discard code that fails to meet these twin guarantees. This overcomes the potential problem of LLM's propens","authors_text":"Alexandru Marginean, Eddy Wang, Inna Harper, Mark Harman, Nadia Alshahwan, Shubho Sengupta","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-02-06T20:38:46Z","title":"Assured LLM-Based Software Engineering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.04380","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":"sha256:726fc5ab226ef653ec5a9d186109b3c3e0c93d41e6b7c6ceeafbb5c520ca0e13","target":"record","created_at":"2026-07-05T07:42:25Z","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":"4530c47131b96d3a853f8353cebf2a87b7ba81f3765f65c0073c8a2b93f138b5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-02-06T20:38:46Z","title_canon_sha256":"70e0245b530056c71f231445da1f2e1fac0005ea3b10c01c1da22cff032eb8c5"},"schema_version":"1.0","source":{"id":"2402.04380","kind":"arxiv","version":1}},"canonical_sha256":"90a08a3b7b000583be045b66e5dc440dfd4b2d0a1a0f82a0b84d01a6760ee52e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"90a08a3b7b000583be045b66e5dc440dfd4b2d0a1a0f82a0b84d01a6760ee52e","first_computed_at":"2026-07-05T07:42:25.884415Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:42:25.884415Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"60M8OfvyzEBQfyiSeiy6rwXCEfPZJML7BNiJFUsg8SKPxvWsMt2YZDQM5DLSpf3T+c0DmVOwXRWAvuiLSloBAw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:42:25.884906Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.04380","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:726fc5ab226ef653ec5a9d186109b3c3e0c93d41e6b7c6ceeafbb5c520ca0e13","sha256:bcc0b52b922c18fd6ef7a92407d82fcd799d2dbbca6505409a462a72221ac133"],"state_sha256":"e2e0ec5579ca11f75825849bdd80d616cbe4ccdf4baf85ac61738eb28b7f7d62"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/ffcEjpXUulQ1ymAG4lFzcW7KBBpN8D1+jyIy93j4CH+OENNBMt3HH7IcAgnNs3V9zzvrtZs7OTOklsIxIjWBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-16T05:37:01.101555Z","bundle_sha256":"8008c4536fe8a1a49be33d5c47da6a98a214882ac2560d888792450ea329fa1f"}}