{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:MJELNTFZ5RD22N775UAIZMN3UD","short_pith_number":"pith:MJELNTFZ","canonical_record":{"source":{"id":"2412.17942","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-12-23T19:54:28Z","cross_cats_sorted":[],"title_canon_sha256":"c03ff6b7f052f85f1ed0b5bc62eaa23061332f5c071387eb481bc15e3c6212a5","abstract_canon_sha256":"d57ca908ef1e6acf7de055331a42340d13f69664943b1501b6ade529f91824d4"},"schema_version":"1.0"},"canonical_sha256":"6248b6ccb9ec47ad37ffed008cb1bba0c985a1e64673222ecdb4f82482d5f55a","source":{"kind":"arxiv","id":"2412.17942","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.17942","created_at":"2026-07-05T09:53:31Z"},{"alias_kind":"arxiv_version","alias_value":"2412.17942v1","created_at":"2026-07-05T09:53:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.17942","created_at":"2026-07-05T09:53:31Z"},{"alias_kind":"pith_short_12","alias_value":"MJELNTFZ5RD2","created_at":"2026-07-05T09:53:31Z"},{"alias_kind":"pith_short_16","alias_value":"MJELNTFZ5RD22N77","created_at":"2026-07-05T09:53:31Z"},{"alias_kind":"pith_short_8","alias_value":"MJELNTFZ","created_at":"2026-07-05T09:53:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:MJELNTFZ5RD22N775UAIZMN3UD","target":"record","payload":{"canonical_record":{"source":{"id":"2412.17942","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-12-23T19:54:28Z","cross_cats_sorted":[],"title_canon_sha256":"c03ff6b7f052f85f1ed0b5bc62eaa23061332f5c071387eb481bc15e3c6212a5","abstract_canon_sha256":"d57ca908ef1e6acf7de055331a42340d13f69664943b1501b6ade529f91824d4"},"schema_version":"1.0"},"canonical_sha256":"6248b6ccb9ec47ad37ffed008cb1bba0c985a1e64673222ecdb4f82482d5f55a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:53:31.146434Z","signature_b64":"2XWnek2IPfHPQ/aGgQT+lXJ7AUZAlh6UJWVXkPa2E7wZJFQ0vBPx3L5xY/3rVkxVaM/izH51/edzzOIjbF2ECA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6248b6ccb9ec47ad37ffed008cb1bba0c985a1e64673222ecdb4f82482d5f55a","last_reissued_at":"2026-07-05T09:53:31.146059Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:53:31.146059Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.17942","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":"2026-07-05T09:53:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k9xVP0UW4PFtGFBpTI0vxrthlEiYXgWouve1xubOF0arVGwIJvL5VOluKPJeXWJDfCIPU025VHwjKR5uuGDKDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T08:41:40.901352Z"},"content_sha256":"ac27626bc2d367aa4dd0f9751897496ffc6954fd857e74fa3f79918942e92bb9","schema_version":"1.0","event_id":"sha256:ac27626bc2d367aa4dd0f9751897496ffc6954fd857e74fa3f79918942e92bb9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:MJELNTFZ5RD22N775UAIZMN3UD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Contrato360 2.0: A Document and Database-Driven Question-Answer System using Large Language Models and Agents","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Antony Seabra, Claudio Cavalcante, Joao Nepomuceno, Lucas Lago, Nicolaas Ruberg, Sergio Lifschitz","submitted_at":"2024-12-23T19:54:28Z","abstract_excerpt":"We present a question-and-answer (Q\\&A) application designed to support the contract management process by leveraging combined information from contract documents (PDFs) and data retrieved from contract management systems (database). This data is processed by a large language model (LLM) to provide precise and relevant answers. The accuracy of these responses is further enhanced through the use of Retrieval-Augmented Generation (RAG), text-to-SQL techniques, and agents that dynamically orchestrate the workflow. These techniques eliminate the need to retrain the language model. Additionally, we"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.17942","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/2412.17942/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":"2026-07-05T09:53:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jco/12v2UDst4qNq0NmLERIqJLABq2IvX8T103rfGIQerGA1cL3AqPBj9Apq+iit6PwkmrLVn3wTfviRe79hAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T08:41:40.902253Z"},"content_sha256":"771d9cbc279abd579d64c6610c67eae0d992cd029b0ec98347991983e340abef","schema_version":"1.0","event_id":"sha256:771d9cbc279abd579d64c6610c67eae0d992cd029b0ec98347991983e340abef"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MJELNTFZ5RD22N775UAIZMN3UD/bundle.json","state_url":"https://pith.science/pith/MJELNTFZ5RD22N775UAIZMN3UD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MJELNTFZ5RD22N775UAIZMN3UD/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":"2026-08-07T08:41:40Z","links":{"resolver":"https://pith.science/pith/MJELNTFZ5RD22N775UAIZMN3UD","bundle":"https://pith.science/pith/MJELNTFZ5RD22N775UAIZMN3UD/bundle.json","state":"https://pith.science/pith/MJELNTFZ5RD22N775UAIZMN3UD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MJELNTFZ5RD22N775UAIZMN3UD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MJELNTFZ5RD22N775UAIZMN3UD","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":"d57ca908ef1e6acf7de055331a42340d13f69664943b1501b6ade529f91824d4","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-12-23T19:54:28Z","title_canon_sha256":"c03ff6b7f052f85f1ed0b5bc62eaa23061332f5c071387eb481bc15e3c6212a5"},"schema_version":"1.0","source":{"id":"2412.17942","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.17942","created_at":"2026-07-05T09:53:31Z"},{"alias_kind":"arxiv_version","alias_value":"2412.17942v1","created_at":"2026-07-05T09:53:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.17942","created_at":"2026-07-05T09:53:31Z"},{"alias_kind":"pith_short_12","alias_value":"MJELNTFZ5RD2","created_at":"2026-07-05T09:53:31Z"},{"alias_kind":"pith_short_16","alias_value":"MJELNTFZ5RD22N77","created_at":"2026-07-05T09:53:31Z"},{"alias_kind":"pith_short_8","alias_value":"MJELNTFZ","created_at":"2026-07-05T09:53:31Z"}],"graph_snapshots":[{"event_id":"sha256:771d9cbc279abd579d64c6610c67eae0d992cd029b0ec98347991983e340abef","target":"graph","created_at":"2026-07-05T09:53:31Z","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/2412.17942/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a question-and-answer (Q\\&A) application designed to support the contract management process by leveraging combined information from contract documents (PDFs) and data retrieved from contract management systems (database). This data is processed by a large language model (LLM) to provide precise and relevant answers. The accuracy of these responses is further enhanced through the use of Retrieval-Augmented Generation (RAG), text-to-SQL techniques, and agents that dynamically orchestrate the workflow. These techniques eliminate the need to retrain the language model. Additionally, we","authors_text":"Antony Seabra, Claudio Cavalcante, Joao Nepomuceno, Lucas Lago, Nicolaas Ruberg, Sergio Lifschitz","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-12-23T19:54:28Z","title":"Contrato360 2.0: A Document and Database-Driven Question-Answer System using Large Language Models and Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.17942","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:ac27626bc2d367aa4dd0f9751897496ffc6954fd857e74fa3f79918942e92bb9","target":"record","created_at":"2026-07-05T09:53:31Z","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":"d57ca908ef1e6acf7de055331a42340d13f69664943b1501b6ade529f91824d4","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-12-23T19:54:28Z","title_canon_sha256":"c03ff6b7f052f85f1ed0b5bc62eaa23061332f5c071387eb481bc15e3c6212a5"},"schema_version":"1.0","source":{"id":"2412.17942","kind":"arxiv","version":1}},"canonical_sha256":"6248b6ccb9ec47ad37ffed008cb1bba0c985a1e64673222ecdb4f82482d5f55a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6248b6ccb9ec47ad37ffed008cb1bba0c985a1e64673222ecdb4f82482d5f55a","first_computed_at":"2026-07-05T09:53:31.146059Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:53:31.146059Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2XWnek2IPfHPQ/aGgQT+lXJ7AUZAlh6UJWVXkPa2E7wZJFQ0vBPx3L5xY/3rVkxVaM/izH51/edzzOIjbF2ECA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:53:31.146434Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.17942","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ac27626bc2d367aa4dd0f9751897496ffc6954fd857e74fa3f79918942e92bb9","sha256:771d9cbc279abd579d64c6610c67eae0d992cd029b0ec98347991983e340abef"],"state_sha256":"c701e7c62df42373365bb4feade5f6c6ea6c73b35d96c74187ffc4a382370a72"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"087ms/dCQGltARnRpwWIUrzWSfC76777eH5OwMBLOU7Wxiv97JKwzAxKV5S2DiaZuJH57W6J1o2vwh6h6x8uBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T08:41:40.926466Z","bundle_sha256":"f962645b1782a4f47f730001e7a48a11fc484d32742d9c86875b73c1a0681b6d"}}