{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DTVOJGHHDV42DCE4CDM4ZJYO2X","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":"89f0ae3f1849408d57ac47a27b8e2aab216f6d856ef141c6635062510316fae8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CE","submitted_at":"2024-12-06T08:48:49Z","title_canon_sha256":"78b6a051f34476d4838141acb4ef15d67014f083be7f6b6cf89aabbd04f682c6"},"schema_version":"1.0","source":{"id":"2412.04856","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.04856","created_at":"2026-07-05T09:45:24Z"},{"alias_kind":"arxiv_version","alias_value":"2412.04856v1","created_at":"2026-07-05T09:45:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.04856","created_at":"2026-07-05T09:45:24Z"},{"alias_kind":"pith_short_12","alias_value":"DTVOJGHHDV42","created_at":"2026-07-05T09:45:24Z"},{"alias_kind":"pith_short_16","alias_value":"DTVOJGHHDV42DCE4","created_at":"2026-07-05T09:45:24Z"},{"alias_kind":"pith_short_8","alias_value":"DTVOJGHH","created_at":"2026-07-05T09:45:24Z"}],"graph_snapshots":[{"event_id":"sha256:fdbd6cc9a7bc3df08d84a9dbe2ccec79a5bb1d87ddd083e0e0807652945f50d9","target":"graph","created_at":"2026-07-05T09:45:24Z","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/2412.04856/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The development of Large Language Models (LLMs) has created transformative opportunities for the financial industry, especially in the area of financial trading. However, how to integrate LLMs with trading systems has become a challenge. To address this problem, we propose an intelligent trade order recognition pipeline that enables the conversion of trade orders into a standard format in trade execution. The system improves the ability of human traders to interact with trading platforms while addressing the problem of misinformation acquisition in trade execution. In addition, we have created","authors_text":"Ge Wang, Mingwen Liu, Xin Yang, Yuda Wang, Yu Kang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CE","submitted_at":"2024-12-06T08:48:49Z","title":"Can Large Language Models Effectively Process and Execute Financial Trading Instructions?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.04856","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:b2bb557e56588e0434ecb3bea581fce54792717ba4779504afb562102418efce","target":"record","created_at":"2026-07-05T09:45:24Z","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":"89f0ae3f1849408d57ac47a27b8e2aab216f6d856ef141c6635062510316fae8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CE","submitted_at":"2024-12-06T08:48:49Z","title_canon_sha256":"78b6a051f34476d4838141acb4ef15d67014f083be7f6b6cf89aabbd04f682c6"},"schema_version":"1.0","source":{"id":"2412.04856","kind":"arxiv","version":1}},"canonical_sha256":"1ceae498e71d79a1889c10d9cca70ed5f0fba6214ba749916c07c88fd15813f1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1ceae498e71d79a1889c10d9cca70ed5f0fba6214ba749916c07c88fd15813f1","first_computed_at":"2026-07-05T09:45:24.858962Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:45:24.858962Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FlL6OG24fd1Hm6udW0fnhGO+ARbwYGe8cj3PlkS5gJU45ZNFOz242lfFJV0xyQq5o1Sfro73i7cNWn8N4GGqAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:45:24.859426Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.04856","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b2bb557e56588e0434ecb3bea581fce54792717ba4779504afb562102418efce","sha256:fdbd6cc9a7bc3df08d84a9dbe2ccec79a5bb1d87ddd083e0e0807652945f50d9"],"state_sha256":"1aad669eca1a7ff2520125bd074a0de43f94fe19890fb6c8b3ac6da452f2a29b"}