{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:4KBRGVMFKXR43WJQQPFTUFDN3I","short_pith_number":"pith:4KBRGVMF","schema_version":"1.0","canonical_sha256":"e28313558555e3cdd93083cb3a146dda3bc58c21d203d11b0fc90aa0b18f3872","source":{"kind":"arxiv","id":"2607.01388","version":1},"attestation_state":"computed","paper":{"title":"RusFinChain: A Russian Benchmark for Verifiable Chain-of-Thought Reasoning in Finance with Fuzzy-Aligned Evaluation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"M. K. Arabov","submitted_at":"2026-07-01T18:48:05Z","abstract_excerpt":"Multi-step symbolic reasoning is essential for robust financial analysis, yet most benchmarks neglect intermediate reasoning steps. FINCHAIN introduced verifiable Chain-of-Thought (CoT) evaluation but is limited to English. FINESSE-Bench includes a Russian block but relies on multiple-choice questions without step-level supervision. We present RusFinChain, the first Russian-language symbolic benchmark for verifiable CoT reasoning in finance. It spans 17 domains, 172 topics, and comprises 5,280 parameterized examples from executable Python templates, ensuring contamination-free evaluation. Each"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.01388","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-01T18:48:05Z","cross_cats_sorted":[],"title_canon_sha256":"f588474a2e4b66dc959429f4218f5ba2a791a0e4e9d885b5a870a0119c57035e","abstract_canon_sha256":"3f981b306be7682e82c02cd2bfafc4d6422eb12ba7e138429033d08c4063439a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-03T00:16:58.940945Z","signature_b64":"+/CCeQ9LSYN7RlvoSmrp/BYAdDNEaSD+V/5urRBeHhwUvm7om/W678UBuXLdtWimZU8DuuK1fcJuAw5ZP5thDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e28313558555e3cdd93083cb3a146dda3bc58c21d203d11b0fc90aa0b18f3872","last_reissued_at":"2026-07-03T00:16:58.940591Z","signature_status":"signed_v1","first_computed_at":"2026-07-03T00:16:58.940591Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"RusFinChain: A Russian Benchmark for Verifiable Chain-of-Thought Reasoning in Finance with Fuzzy-Aligned Evaluation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"M. K. Arabov","submitted_at":"2026-07-01T18:48:05Z","abstract_excerpt":"Multi-step symbolic reasoning is essential for robust financial analysis, yet most benchmarks neglect intermediate reasoning steps. FINCHAIN introduced verifiable Chain-of-Thought (CoT) evaluation but is limited to English. FINESSE-Bench includes a Russian block but relies on multiple-choice questions without step-level supervision. We present RusFinChain, the first Russian-language symbolic benchmark for verifiable CoT reasoning in finance. It spans 17 domains, 172 topics, and comprises 5,280 parameterized examples from executable Python templates, ensuring contamination-free evaluation. Each"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01388","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/2607.01388/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.01388","created_at":"2026-07-03T00:16:58.940654+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.01388v1","created_at":"2026-07-03T00:16:58.940654+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01388","created_at":"2026-07-03T00:16:58.940654+00:00"},{"alias_kind":"pith_short_12","alias_value":"4KBRGVMFKXR4","created_at":"2026-07-03T00:16:58.940654+00:00"},{"alias_kind":"pith_short_16","alias_value":"4KBRGVMFKXR43WJQ","created_at":"2026-07-03T00:16:58.940654+00:00"},{"alias_kind":"pith_short_8","alias_value":"4KBRGVMF","created_at":"2026-07-03T00:16:58.940654+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/4KBRGVMFKXR43WJQQPFTUFDN3I","json":"https://pith.science/pith/4KBRGVMFKXR43WJQQPFTUFDN3I.json","graph_json":"https://pith.science/api/pith-number/4KBRGVMFKXR43WJQQPFTUFDN3I/graph.json","events_json":"https://pith.science/api/pith-number/4KBRGVMFKXR43WJQQPFTUFDN3I/events.json","paper":"https://pith.science/paper/4KBRGVMF"},"agent_actions":{"view_html":"https://pith.science/pith/4KBRGVMFKXR43WJQQPFTUFDN3I","download_json":"https://pith.science/pith/4KBRGVMFKXR43WJQQPFTUFDN3I.json","view_paper":"https://pith.science/paper/4KBRGVMF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.01388&json=true","fetch_graph":"https://pith.science/api/pith-number/4KBRGVMFKXR43WJQQPFTUFDN3I/graph.json","fetch_events":"https://pith.science/api/pith-number/4KBRGVMFKXR43WJQQPFTUFDN3I/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4KBRGVMFKXR43WJQQPFTUFDN3I/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4KBRGVMFKXR43WJQQPFTUFDN3I/action/storage_attestation","attest_author":"https://pith.science/pith/4KBRGVMFKXR43WJQQPFTUFDN3I/action/author_attestation","sign_citation":"https://pith.science/pith/4KBRGVMFKXR43WJQQPFTUFDN3I/action/citation_signature","submit_replication":"https://pith.science/pith/4KBRGVMFKXR43WJQQPFTUFDN3I/action/replication_record"}},"created_at":"2026-07-03T00:16:58.940654+00:00","updated_at":"2026-07-03T00:16:58.940654+00:00"}