{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:NMBMFDPMVQTOZ4F7GASVEFDYIQ","short_pith_number":"pith:NMBMFDPM","canonical_record":{"source":{"id":"2403.15062","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.CP","submitted_at":"2024-03-22T09:40:27Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"da82adbfc0edf875b990a7f4cdc2c615264f973e37214b8ed02d55cff5aee3a1","abstract_canon_sha256":"d4362ee1b947103fc762187c012ce708d021e731076ec69158871a667c8a0322"},"schema_version":"1.0"},"canonical_sha256":"6b02c28decac26ecf0bf3025521478440dc43b9a00e0e88fe55b83b1fc4610d3","source":{"kind":"arxiv","id":"2403.15062","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.15062","created_at":"2026-07-05T07:59:29Z"},{"alias_kind":"arxiv_version","alias_value":"2403.15062v1","created_at":"2026-07-05T07:59:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.15062","created_at":"2026-07-05T07:59:29Z"},{"alias_kind":"pith_short_12","alias_value":"NMBMFDPMVQTO","created_at":"2026-07-05T07:59:29Z"},{"alias_kind":"pith_short_16","alias_value":"NMBMFDPMVQTOZ4F7","created_at":"2026-07-05T07:59:29Z"},{"alias_kind":"pith_short_8","alias_value":"NMBMFDPM","created_at":"2026-07-05T07:59:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:NMBMFDPMVQTOZ4F7GASVEFDYIQ","target":"record","payload":{"canonical_record":{"source":{"id":"2403.15062","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.CP","submitted_at":"2024-03-22T09:40:27Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"da82adbfc0edf875b990a7f4cdc2c615264f973e37214b8ed02d55cff5aee3a1","abstract_canon_sha256":"d4362ee1b947103fc762187c012ce708d021e731076ec69158871a667c8a0322"},"schema_version":"1.0"},"canonical_sha256":"6b02c28decac26ecf0bf3025521478440dc43b9a00e0e88fe55b83b1fc4610d3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:59:29.753468Z","signature_b64":"dpubxcl88kmmPnvcuLQv7zO2v78nj7Wk/GCCv75VQiD3ZlHCYPHhbg0rzLKsQ/kinK88Y7nSHShFgkF5XA71Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6b02c28decac26ecf0bf3025521478440dc43b9a00e0e88fe55b83b1fc4610d3","last_reissued_at":"2026-07-05T07:59:29.753005Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:59:29.753005Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.15062","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":"2026-07-05T07:59:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X0KPCo4cycOTZzqNWwSh0dEoiLot+MUBNdK/2z9DwgR+A9fsUDhJq7xxzPShMOUQaYt1lcWqSQMnqrQ6wqHMDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T03:57:29.821701Z"},"content_sha256":"c357818f8cf46bf36909813ef7d2458507cc81215065eff9924d9072e68355a2","schema_version":"1.0","event_id":"sha256:c357818f8cf46bf36909813ef7d2458507cc81215065eff9924d9072e68355a2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:NMBMFDPMVQTOZ4F7GASVEFDYIQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Construction of a Japanese Financial Benchmark for Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"q-fin.CP","authors_text":"Masanori Hirano","submitted_at":"2024-03-22T09:40:27Z","abstract_excerpt":"With the recent development of large language models (LLMs), models that focus on certain domains and languages have been discussed for their necessity. There is also a growing need for benchmarks to evaluate the performance of current LLMs in each domain. Therefore, in this study, we constructed a benchmark comprising multiple tasks specific to the Japanese and financial domains and performed benchmark measurements on some models. Consequently, we confirmed that GPT-4 is currently outstanding, and that the constructed benchmarks function effectively. According to our analysis, our benchmark c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.15062","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/2403.15062/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":"2026-07-05T07:59:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"umLaQn9707QONT7F+iXOr0D+0l0qCtaExqJhWbUdzMzSLdVr964qxdIkFPZ7dJVRt4x4njCY3qtl7WoZ0MavBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T03:57:29.822076Z"},"content_sha256":"eeb7213ef2916beb7df0415b191e97a633a9aeba8bf5427acc5dbfcfeeb52df8","schema_version":"1.0","event_id":"sha256:eeb7213ef2916beb7df0415b191e97a633a9aeba8bf5427acc5dbfcfeeb52df8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NMBMFDPMVQTOZ4F7GASVEFDYIQ/bundle.json","state_url":"https://pith.science/pith/NMBMFDPMVQTOZ4F7GASVEFDYIQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NMBMFDPMVQTOZ4F7GASVEFDYIQ/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":"2026-08-13T03:57:29Z","links":{"resolver":"https://pith.science/pith/NMBMFDPMVQTOZ4F7GASVEFDYIQ","bundle":"https://pith.science/pith/NMBMFDPMVQTOZ4F7GASVEFDYIQ/bundle.json","state":"https://pith.science/pith/NMBMFDPMVQTOZ4F7GASVEFDYIQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NMBMFDPMVQTOZ4F7GASVEFDYIQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:NMBMFDPMVQTOZ4F7GASVEFDYIQ","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":"d4362ee1b947103fc762187c012ce708d021e731076ec69158871a667c8a0322","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.CP","submitted_at":"2024-03-22T09:40:27Z","title_canon_sha256":"da82adbfc0edf875b990a7f4cdc2c615264f973e37214b8ed02d55cff5aee3a1"},"schema_version":"1.0","source":{"id":"2403.15062","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.15062","created_at":"2026-07-05T07:59:29Z"},{"alias_kind":"arxiv_version","alias_value":"2403.15062v1","created_at":"2026-07-05T07:59:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.15062","created_at":"2026-07-05T07:59:29Z"},{"alias_kind":"pith_short_12","alias_value":"NMBMFDPMVQTO","created_at":"2026-07-05T07:59:29Z"},{"alias_kind":"pith_short_16","alias_value":"NMBMFDPMVQTOZ4F7","created_at":"2026-07-05T07:59:29Z"},{"alias_kind":"pith_short_8","alias_value":"NMBMFDPM","created_at":"2026-07-05T07:59:29Z"}],"graph_snapshots":[{"event_id":"sha256:eeb7213ef2916beb7df0415b191e97a633a9aeba8bf5427acc5dbfcfeeb52df8","target":"graph","created_at":"2026-07-05T07:59:29Z","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/2403.15062/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the recent development of large language models (LLMs), models that focus on certain domains and languages have been discussed for their necessity. There is also a growing need for benchmarks to evaluate the performance of current LLMs in each domain. Therefore, in this study, we constructed a benchmark comprising multiple tasks specific to the Japanese and financial domains and performed benchmark measurements on some models. Consequently, we confirmed that GPT-4 is currently outstanding, and that the constructed benchmarks function effectively. According to our analysis, our benchmark c","authors_text":"Masanori Hirano","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.CP","submitted_at":"2024-03-22T09:40:27Z","title":"Construction of a Japanese Financial Benchmark for Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.15062","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:c357818f8cf46bf36909813ef7d2458507cc81215065eff9924d9072e68355a2","target":"record","created_at":"2026-07-05T07:59:29Z","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":"d4362ee1b947103fc762187c012ce708d021e731076ec69158871a667c8a0322","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.CP","submitted_at":"2024-03-22T09:40:27Z","title_canon_sha256":"da82adbfc0edf875b990a7f4cdc2c615264f973e37214b8ed02d55cff5aee3a1"},"schema_version":"1.0","source":{"id":"2403.15062","kind":"arxiv","version":1}},"canonical_sha256":"6b02c28decac26ecf0bf3025521478440dc43b9a00e0e88fe55b83b1fc4610d3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6b02c28decac26ecf0bf3025521478440dc43b9a00e0e88fe55b83b1fc4610d3","first_computed_at":"2026-07-05T07:59:29.753005Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:59:29.753005Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dpubxcl88kmmPnvcuLQv7zO2v78nj7Wk/GCCv75VQiD3ZlHCYPHhbg0rzLKsQ/kinK88Y7nSHShFgkF5XA71Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:59:29.753468Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.15062","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c357818f8cf46bf36909813ef7d2458507cc81215065eff9924d9072e68355a2","sha256:eeb7213ef2916beb7df0415b191e97a633a9aeba8bf5427acc5dbfcfeeb52df8"],"state_sha256":"228fb5f785bff8980077c31ccd4019c997a6017b88ba6adbfe00ad3b044e62b0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Iw/awlnZ6G/ckKtlCveL4ZLRxtptIDZ6iql42q6iBrPOHCVRwaL3fYc1AWocUkNx4J8P54T/Nor/ZADzKRk0Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T03:57:29.824654Z","bundle_sha256":"c9ea0bb78f65b3130929a18c599f64f6681b1a94b30e907c63b47cb9dde4e176"}}