{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:NZO2BNT2IDSH6JS24KZ3MKD5OP","short_pith_number":"pith:NZO2BNT2","canonical_record":{"source":{"id":"2311.06602","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-11T16:16:11Z","cross_cats_sorted":[],"title_canon_sha256":"fae189561a94b659bcbff9be9f01767c36220ef08663f16d6d8dac4c3f526069","abstract_canon_sha256":"519d19621b099075983c6c81b595d1e078d323cdd1a0f8a08ff2eec451312968"},"schema_version":"1.0"},"canonical_sha256":"6e5da0b67a40e47f265ae2b3b6287d73d7850f6e71d8209570a8dee31d21a955","source":{"kind":"arxiv","id":"2311.06602","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.06602","created_at":"2026-07-05T07:55:13Z"},{"alias_kind":"arxiv_version","alias_value":"2311.06602v2","created_at":"2026-07-05T07:55:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.06602","created_at":"2026-07-05T07:55:13Z"},{"alias_kind":"pith_short_12","alias_value":"NZO2BNT2IDSH","created_at":"2026-07-05T07:55:13Z"},{"alias_kind":"pith_short_16","alias_value":"NZO2BNT2IDSH6JS2","created_at":"2026-07-05T07:55:13Z"},{"alias_kind":"pith_short_8","alias_value":"NZO2BNT2","created_at":"2026-07-05T07:55:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:NZO2BNT2IDSH6JS24KZ3MKD5OP","target":"record","payload":{"canonical_record":{"source":{"id":"2311.06602","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-11T16:16:11Z","cross_cats_sorted":[],"title_canon_sha256":"fae189561a94b659bcbff9be9f01767c36220ef08663f16d6d8dac4c3f526069","abstract_canon_sha256":"519d19621b099075983c6c81b595d1e078d323cdd1a0f8a08ff2eec451312968"},"schema_version":"1.0"},"canonical_sha256":"6e5da0b67a40e47f265ae2b3b6287d73d7850f6e71d8209570a8dee31d21a955","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:55:13.682137Z","signature_b64":"XDoW+Kob6921Dv50fRCVrmshKpG4UiZcP0kl8Kn/7HwxbBk8xbZkN8fKyj++L9sgV9jTZWsnMl7P/eAzna/eCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6e5da0b67a40e47f265ae2b3b6287d73d7850f6e71d8209570a8dee31d21a955","last_reissued_at":"2026-07-05T07:55:13.681555Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:55:13.681555Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.06602","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":"2026-07-05T07:55:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fpup0ounQuKcT8LXG/mgpYyZkOXClrMTikXMfLlUeVIml+5eY6bG1yxjbcEdPPh9d+C5SBR9BZj24VGGg1nmBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T11:19:09.666178Z"},"content_sha256":"9d337f888eb4f1b9bcd4fc914d9f3658988a9cbb1369eb14317b100830717655","schema_version":"1.0","event_id":"sha256:9d337f888eb4f1b9bcd4fc914d9f3658988a9cbb1369eb14317b100830717655"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:NZO2BNT2IDSH6JS24KZ3MKD5OP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"BizBench: A Quantitative Reasoning Benchmark for Business and Finance","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Charles Lovering, Chris Tanner, Michael Krumdick, Rik Koncel-Kedziorski, Varshini Reddy, Viet Lai","submitted_at":"2023-11-11T16:16:11Z","abstract_excerpt":"Answering questions within business and finance requires reasoning, precision, and a wide-breadth of technical knowledge. Together, these requirements make this domain difficult for large language models (LLMs). We introduce BizBench, a benchmark for evaluating models' ability to reason about realistic financial problems. BizBench comprises eight quantitative reasoning tasks, focusing on question-answering (QA) over financial data via program synthesis. We include three financially-themed code-generation tasks from newly collected and augmented QA data. Additionally, we isolate the reasoning c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.06602","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/2311.06602/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":"2026-07-05T07:55:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sh2CHdVaRbF3iZNGpSglVbtbI59ylLNLhK0frtyqcgwCSHFUf2r4a7jMR4wZ1CJpB+h38YLTa+nBxS4NY/+2Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T11:19:09.666562Z"},"content_sha256":"0f959d18c18c13290a8f6a40c18fdd06f083de56d1a1666b87b013b34b136d1d","schema_version":"1.0","event_id":"sha256:0f959d18c18c13290a8f6a40c18fdd06f083de56d1a1666b87b013b34b136d1d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NZO2BNT2IDSH6JS24KZ3MKD5OP/bundle.json","state_url":"https://pith.science/pith/NZO2BNT2IDSH6JS24KZ3MKD5OP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NZO2BNT2IDSH6JS24KZ3MKD5OP/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":"2026-07-06T11:19:09Z","links":{"resolver":"https://pith.science/pith/NZO2BNT2IDSH6JS24KZ3MKD5OP","bundle":"https://pith.science/pith/NZO2BNT2IDSH6JS24KZ3MKD5OP/bundle.json","state":"https://pith.science/pith/NZO2BNT2IDSH6JS24KZ3MKD5OP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NZO2BNT2IDSH6JS24KZ3MKD5OP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:NZO2BNT2IDSH6JS24KZ3MKD5OP","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":"519d19621b099075983c6c81b595d1e078d323cdd1a0f8a08ff2eec451312968","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-11T16:16:11Z","title_canon_sha256":"fae189561a94b659bcbff9be9f01767c36220ef08663f16d6d8dac4c3f526069"},"schema_version":"1.0","source":{"id":"2311.06602","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.06602","created_at":"2026-07-05T07:55:13Z"},{"alias_kind":"arxiv_version","alias_value":"2311.06602v2","created_at":"2026-07-05T07:55:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.06602","created_at":"2026-07-05T07:55:13Z"},{"alias_kind":"pith_short_12","alias_value":"NZO2BNT2IDSH","created_at":"2026-07-05T07:55:13Z"},{"alias_kind":"pith_short_16","alias_value":"NZO2BNT2IDSH6JS2","created_at":"2026-07-05T07:55:13Z"},{"alias_kind":"pith_short_8","alias_value":"NZO2BNT2","created_at":"2026-07-05T07:55:13Z"}],"graph_snapshots":[{"event_id":"sha256:0f959d18c18c13290a8f6a40c18fdd06f083de56d1a1666b87b013b34b136d1d","target":"graph","created_at":"2026-07-05T07:55:13Z","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/2311.06602/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Answering questions within business and finance requires reasoning, precision, and a wide-breadth of technical knowledge. Together, these requirements make this domain difficult for large language models (LLMs). We introduce BizBench, a benchmark for evaluating models' ability to reason about realistic financial problems. BizBench comprises eight quantitative reasoning tasks, focusing on question-answering (QA) over financial data via program synthesis. We include three financially-themed code-generation tasks from newly collected and augmented QA data. Additionally, we isolate the reasoning c","authors_text":"Charles Lovering, Chris Tanner, Michael Krumdick, Rik Koncel-Kedziorski, Varshini Reddy, Viet Lai","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-11T16:16:11Z","title":"BizBench: A Quantitative Reasoning Benchmark for Business and Finance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.06602","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":"sha256:9d337f888eb4f1b9bcd4fc914d9f3658988a9cbb1369eb14317b100830717655","target":"record","created_at":"2026-07-05T07:55:13Z","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":"519d19621b099075983c6c81b595d1e078d323cdd1a0f8a08ff2eec451312968","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-11T16:16:11Z","title_canon_sha256":"fae189561a94b659bcbff9be9f01767c36220ef08663f16d6d8dac4c3f526069"},"schema_version":"1.0","source":{"id":"2311.06602","kind":"arxiv","version":2}},"canonical_sha256":"6e5da0b67a40e47f265ae2b3b6287d73d7850f6e71d8209570a8dee31d21a955","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6e5da0b67a40e47f265ae2b3b6287d73d7850f6e71d8209570a8dee31d21a955","first_computed_at":"2026-07-05T07:55:13.681555Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:55:13.681555Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XDoW+Kob6921Dv50fRCVrmshKpG4UiZcP0kl8Kn/7HwxbBk8xbZkN8fKyj++L9sgV9jTZWsnMl7P/eAzna/eCA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:55:13.682137Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.06602","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9d337f888eb4f1b9bcd4fc914d9f3658988a9cbb1369eb14317b100830717655","sha256:0f959d18c18c13290a8f6a40c18fdd06f083de56d1a1666b87b013b34b136d1d"],"state_sha256":"e9bf45db4445ecac13ec54a1c947347af6410e1b8bdbff60a049ae53763e379c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E14+dpz1MSkiTSaoLiRmy++FZLXkbaDkpVtXWVgYeCm4iRErEwt12vAGYepCrOmCZT5Z9Pj+0lZrUcuUkC1tBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T11:19:09.668546Z","bundle_sha256":"66d13c480c7d5a9d65303cd0cf0867338a1c779338e91fc4bbe540c683eb5010"}}