{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:GSLY4BOHURVMPRR6WXATTZYH7D","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":"5ecbe6eadd70701684ce3a9cc209b1251a1ebb3a4b30d0f319b1bf692110567e","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-11-08T21:03:54Z","title_canon_sha256":"4129c14d85db85a22452d5fe50cc0020836ebfeef638736348ed85bfe860c9a0"},"schema_version":"1.0","source":{"id":"2411.07264","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.07264","created_at":"2026-07-05T09:34:00Z"},{"alias_kind":"arxiv_version","alias_value":"2411.07264v1","created_at":"2026-07-05T09:34:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.07264","created_at":"2026-07-05T09:34:00Z"},{"alias_kind":"pith_short_12","alias_value":"GSLY4BOHURVM","created_at":"2026-07-05T09:34:00Z"},{"alias_kind":"pith_short_16","alias_value":"GSLY4BOHURVMPRR6","created_at":"2026-07-05T09:34:00Z"},{"alias_kind":"pith_short_8","alias_value":"GSLY4BOH","created_at":"2026-07-05T09:34:00Z"}],"graph_snapshots":[{"event_id":"sha256:ce2a8a54035a799b1000ce9d21a998429f3615bef5b5222fb1c57a059e59bbdf","target":"graph","created_at":"2026-07-05T09:34:00Z","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/2411.07264/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose two new methods for multi-document financial question answering. First, a method that uses semantic tagging, and then, queries the index to get the context (RAG_SEM). And second, a Knowledge Graph (KG_RAG) based method that uses semantic tagging, and, retrieves knowledge graph triples from a graph database, as context. KG_RAG uses knowledge graphs constructed using a small model that is fine-tuned using knowledge distillation using a large teacher model. The data consists of 18 10K reports of Apple, Microsoft, Alphabet, NVIDIA, Amazon and Tesla for the years 2021, 2022 and 2023. The","authors_text":"Ramasubbu Venkatesh, Shalin Shah, Srikanth Ryali","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-11-08T21:03:54Z","title":"Multi-Document Financial Question Answering using LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.07264","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":"sha256:0aacc91bc7203830d6c42b23f7edfd2af81ac462e0a58117e4af8d36cc932c66","target":"record","created_at":"2026-07-05T09:34:00Z","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":"5ecbe6eadd70701684ce3a9cc209b1251a1ebb3a4b30d0f319b1bf692110567e","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-11-08T21:03:54Z","title_canon_sha256":"4129c14d85db85a22452d5fe50cc0020836ebfeef638736348ed85bfe860c9a0"},"schema_version":"1.0","source":{"id":"2411.07264","kind":"arxiv","version":1}},"canonical_sha256":"34978e05c7a46ac7c63eb5c139e707f8e92e03754f2244faefd84fc68ed56a2c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"34978e05c7a46ac7c63eb5c139e707f8e92e03754f2244faefd84fc68ed56a2c","first_computed_at":"2026-07-05T09:34:00.867007Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:34:00.867007Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xaB6gr4hOUJQqOGFAqnpCFMeyden+bEfuao6f0QkA4cHyAhhr5/7hSVdatLJW9agqoGGDJxpThH7iTbRoTqADA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:34:00.867501Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.07264","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0aacc91bc7203830d6c42b23f7edfd2af81ac462e0a58117e4af8d36cc932c66","sha256:ce2a8a54035a799b1000ce9d21a998429f3615bef5b5222fb1c57a059e59bbdf"],"state_sha256":"7fe73316170aab78b0fa04f5a6d0a73adb47b457fd1406be2eee1132eb1c10a2"}