{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:QIFEVNFSCWKSPP6WNBTOTUUPIE","short_pith_number":"pith:QIFEVNFS","canonical_record":{"source":{"id":"2306.14222","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-25T12:08:44Z","cross_cats_sorted":["cs.AI","q-fin.ST"],"title_canon_sha256":"af67ec355519e3611a2aff84fbd51defac0ed4fdecb44375a67a23fcedaefac2","abstract_canon_sha256":"aa5dadce80883d1c4953a57e0da1377578ff11c6722afb0a5126d81c2bc444e2"},"schema_version":"1.0"},"canonical_sha256":"820a4ab4b2159527bfd66866e9d28f4133a662fe8b8aea3a28cf45e4bf17edde","source":{"kind":"arxiv","id":"2306.14222","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.14222","created_at":"2026-07-05T08:15:37Z"},{"alias_kind":"arxiv_version","alias_value":"2306.14222v2","created_at":"2026-07-05T08:15:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.14222","created_at":"2026-07-05T08:15:37Z"},{"alias_kind":"pith_short_12","alias_value":"QIFEVNFSCWKS","created_at":"2026-07-05T08:15:37Z"},{"alias_kind":"pith_short_16","alias_value":"QIFEVNFSCWKSPP6W","created_at":"2026-07-05T08:15:37Z"},{"alias_kind":"pith_short_8","alias_value":"QIFEVNFS","created_at":"2026-07-05T08:15:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:QIFEVNFSCWKSPP6WNBTOTUUPIE","target":"record","payload":{"canonical_record":{"source":{"id":"2306.14222","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-25T12:08:44Z","cross_cats_sorted":["cs.AI","q-fin.ST"],"title_canon_sha256":"af67ec355519e3611a2aff84fbd51defac0ed4fdecb44375a67a23fcedaefac2","abstract_canon_sha256":"aa5dadce80883d1c4953a57e0da1377578ff11c6722afb0a5126d81c2bc444e2"},"schema_version":"1.0"},"canonical_sha256":"820a4ab4b2159527bfd66866e9d28f4133a662fe8b8aea3a28cf45e4bf17edde","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:15:37.727633Z","signature_b64":"IGx8ntm8/Q6iJpcGMmBTftSf2rAZyUSsas7RVjAgY8NkW38u60IArtJRcc4rl0/j+QrKdL6+1qxI7oGT32evAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"820a4ab4b2159527bfd66866e9d28f4133a662fe8b8aea3a28cf45e4bf17edde","last_reissued_at":"2026-07-05T08:15:37.727090Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:15:37.727090Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.14222","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":"2026-07-05T08:15:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ku2R50qx6UhDOnvSOAelqWdbS2vpNLoLds3xBy8diKba78fwj+v6q3jIvDH83c5FUmImJMPMFdzrqd9NvfT1Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T12:05:09.084128Z"},"content_sha256":"3441be7ce4941102f8e0eb021af80e696134ef5d05ccde7aa22403fd0e555226","schema_version":"1.0","event_id":"sha256:3441be7ce4941102f8e0eb021af80e696134ef5d05ccde7aa22403fd0e555226"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:QIFEVNFSCWKSPP6WNBTOTUUPIE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements?","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","q-fin.ST"],"primary_cat":"cs.CL","authors_text":"Chengjin Xu, Fengrui Hua, Haohan Zhang, Hao Kong, Jian Guo, Ruiting Zuo","submitted_at":"2023-06-25T12:08:44Z","abstract_excerpt":"The rapid advancement of Large Language Models (LLMs) has spurred discussions about their potential to enhance quantitative trading strategies. LLMs excel in analyzing sentiments about listed companies from financial news, providing critical insights for trading decisions. However, the performance of LLMs in this task varies substantially due to their inherent characteristics. This paper introduces a standardized experimental procedure for comprehensive evaluations. We detail the methodology using three distinct LLMs, each embodying a unique approach to performance enhancement, applied specifi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.14222","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/2306.14222/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":"2026-07-05T08:15:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Oji/8RLcRKyBLsv1Ohlxv+KC7X96hLRjNmQUBjqqruDNjrrmh5e82wAC4Uys2JJKMmcdT+ugoRYiTDfYy4pZCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T12:05:09.084518Z"},"content_sha256":"c71770382c0937d463fdace5499daabcd176094938b3dc1ef2a7aca69071ddd7","schema_version":"1.0","event_id":"sha256:c71770382c0937d463fdace5499daabcd176094938b3dc1ef2a7aca69071ddd7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QIFEVNFSCWKSPP6WNBTOTUUPIE/bundle.json","state_url":"https://pith.science/pith/QIFEVNFSCWKSPP6WNBTOTUUPIE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QIFEVNFSCWKSPP6WNBTOTUUPIE/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":"2026-07-10T12:05:09Z","links":{"resolver":"https://pith.science/pith/QIFEVNFSCWKSPP6WNBTOTUUPIE","bundle":"https://pith.science/pith/QIFEVNFSCWKSPP6WNBTOTUUPIE/bundle.json","state":"https://pith.science/pith/QIFEVNFSCWKSPP6WNBTOTUUPIE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QIFEVNFSCWKSPP6WNBTOTUUPIE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:QIFEVNFSCWKSPP6WNBTOTUUPIE","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":"aa5dadce80883d1c4953a57e0da1377578ff11c6722afb0a5126d81c2bc444e2","cross_cats_sorted":["cs.AI","q-fin.ST"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-25T12:08:44Z","title_canon_sha256":"af67ec355519e3611a2aff84fbd51defac0ed4fdecb44375a67a23fcedaefac2"},"schema_version":"1.0","source":{"id":"2306.14222","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.14222","created_at":"2026-07-05T08:15:37Z"},{"alias_kind":"arxiv_version","alias_value":"2306.14222v2","created_at":"2026-07-05T08:15:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.14222","created_at":"2026-07-05T08:15:37Z"},{"alias_kind":"pith_short_12","alias_value":"QIFEVNFSCWKS","created_at":"2026-07-05T08:15:37Z"},{"alias_kind":"pith_short_16","alias_value":"QIFEVNFSCWKSPP6W","created_at":"2026-07-05T08:15:37Z"},{"alias_kind":"pith_short_8","alias_value":"QIFEVNFS","created_at":"2026-07-05T08:15:37Z"}],"graph_snapshots":[{"event_id":"sha256:c71770382c0937d463fdace5499daabcd176094938b3dc1ef2a7aca69071ddd7","target":"graph","created_at":"2026-07-05T08:15:37Z","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/2306.14222/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rapid advancement of Large Language Models (LLMs) has spurred discussions about their potential to enhance quantitative trading strategies. LLMs excel in analyzing sentiments about listed companies from financial news, providing critical insights for trading decisions. However, the performance of LLMs in this task varies substantially due to their inherent characteristics. This paper introduces a standardized experimental procedure for comprehensive evaluations. We detail the methodology using three distinct LLMs, each embodying a unique approach to performance enhancement, applied specifi","authors_text":"Chengjin Xu, Fengrui Hua, Haohan Zhang, Hao Kong, Jian Guo, Ruiting Zuo","cross_cats":["cs.AI","q-fin.ST"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-25T12:08:44Z","title":"Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.14222","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":"sha256:3441be7ce4941102f8e0eb021af80e696134ef5d05ccde7aa22403fd0e555226","target":"record","created_at":"2026-07-05T08:15:37Z","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":"aa5dadce80883d1c4953a57e0da1377578ff11c6722afb0a5126d81c2bc444e2","cross_cats_sorted":["cs.AI","q-fin.ST"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-25T12:08:44Z","title_canon_sha256":"af67ec355519e3611a2aff84fbd51defac0ed4fdecb44375a67a23fcedaefac2"},"schema_version":"1.0","source":{"id":"2306.14222","kind":"arxiv","version":2}},"canonical_sha256":"820a4ab4b2159527bfd66866e9d28f4133a662fe8b8aea3a28cf45e4bf17edde","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"820a4ab4b2159527bfd66866e9d28f4133a662fe8b8aea3a28cf45e4bf17edde","first_computed_at":"2026-07-05T08:15:37.727090Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:15:37.727090Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IGx8ntm8/Q6iJpcGMmBTftSf2rAZyUSsas7RVjAgY8NkW38u60IArtJRcc4rl0/j+QrKdL6+1qxI7oGT32evAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:15:37.727633Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.14222","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3441be7ce4941102f8e0eb021af80e696134ef5d05ccde7aa22403fd0e555226","sha256:c71770382c0937d463fdace5499daabcd176094938b3dc1ef2a7aca69071ddd7"],"state_sha256":"ffdb18b1eb35a6e9628c20a4066dff76112184be1eecd586e2c49703ad5175f3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7zJwjwzLbl00f4ygl0YV+Bg5q86cFrcA1iuDB2Q2k+r7nHXupriNhs8vn/JzYdckM958TBIksrm4tOsxJpepCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-10T12:05:09.086598Z","bundle_sha256":"6c59a47b35f69dce398f41706e1506a818e6155c35e0ddae5ebd8a713a889d8d"}}