{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:QG724ZMTDUDGIPKGVBI5J2RO7A","short_pith_number":"pith:QG724ZMT","canonical_record":{"source":{"id":"2411.13599","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.ST","submitted_at":"2024-11-19T07:45:58Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"7201f4109a030d79c83981e03309032e4c982da7969613339ee4dcaa2b4063a9","abstract_canon_sha256":"46cf568f826a583ce0e2db05c864b51476230fda074651e7c03c22fac53723a8"},"schema_version":"1.0"},"canonical_sha256":"81bfae65931d06643d46a851d4ea2ef8101dc56f67ee3c93845c4ba505036629","source":{"kind":"arxiv","id":"2411.13599","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.13599","created_at":"2026-07-05T10:01:38Z"},{"alias_kind":"arxiv_version","alias_value":"2411.13599v2","created_at":"2026-07-05T10:01:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.13599","created_at":"2026-07-05T10:01:38Z"},{"alias_kind":"pith_short_12","alias_value":"QG724ZMTDUDG","created_at":"2026-07-05T10:01:38Z"},{"alias_kind":"pith_short_16","alias_value":"QG724ZMTDUDGIPKG","created_at":"2026-07-05T10:01:38Z"},{"alias_kind":"pith_short_8","alias_value":"QG724ZMT","created_at":"2026-07-05T10:01:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:QG724ZMTDUDGIPKGVBI5J2RO7A","target":"record","payload":{"canonical_record":{"source":{"id":"2411.13599","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.ST","submitted_at":"2024-11-19T07:45:58Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"7201f4109a030d79c83981e03309032e4c982da7969613339ee4dcaa2b4063a9","abstract_canon_sha256":"46cf568f826a583ce0e2db05c864b51476230fda074651e7c03c22fac53723a8"},"schema_version":"1.0"},"canonical_sha256":"81bfae65931d06643d46a851d4ea2ef8101dc56f67ee3c93845c4ba505036629","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:01:38.018383Z","signature_b64":"hQ6kNTT1F9rO8sPvyqPF0tKX2P94fLwwaKi7gi3Wf4nVcgIWjUtki81NK8Ly1cEARWVRGyAk+zPnlsMwFCj2Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"81bfae65931d06643d46a851d4ea2ef8101dc56f67ee3c93845c4ba505036629","last_reissued_at":"2026-07-05T10:01:38.017942Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:01:38.017942Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.13599","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":"2026-07-05T10:01:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"55cCMbtNi9rWrxc/doP5qXg7kJW+vrM3fc/uOtlx+PDD6+Omca3Nc+y9yMmiuXnrL0zhlCQuaZW8WbPN0ZXrAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T07:47:18.631720Z"},"content_sha256":"7981299b93ea0964252dda89f95e0b0df0283a149385e599727950344a1fc957","schema_version":"1.0","event_id":"sha256:7981299b93ea0964252dda89f95e0b0df0283a149385e599727950344a1fc957"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:QG724ZMTDUDGIPKGVBI5J2RO7A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"q-fin.ST","authors_text":"Gaoguo Jia, Liyuan Chen, Qiang Yang, Shuoling Liu, Yuhang Jiang","submitted_at":"2024-11-19T07:45:58Z","abstract_excerpt":"Large Language Models (LLMs) have achieved remarkable success recently, displaying exceptional capabilities in creating understandable and organized text. These LLMs have been utilized in diverse fields, such as clinical research, where domain-specific models like Med-Palm have achieved human-level performance. Recently, researchers have employed advanced prompt engineering to enhance the general reasoning ability of LLMs. Despite the remarkable success of zero-shot Chain-of-Thoughts (CoT) in solving general reasoning tasks, the potential of these methods still remains paid limited attention i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.13599","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/2411.13599/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":"2026-07-05T10:01:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PZDZwPYQxgAxi7WoxYeyJgi1lKTM1jEIXUBJcwEyjoPr76xZJjlEQyS+HotBk6HFL1rQVKnhzAPlvMhok7kGDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T07:47:18.632610Z"},"content_sha256":"23998906d9f6961af16343deaacfd38fae5ee18477c1323a7b5f76ab76ddd990","schema_version":"1.0","event_id":"sha256:23998906d9f6961af16343deaacfd38fae5ee18477c1323a7b5f76ab76ddd990"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QG724ZMTDUDGIPKGVBI5J2RO7A/bundle.json","state_url":"https://pith.science/pith/QG724ZMTDUDGIPKGVBI5J2RO7A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QG724ZMTDUDGIPKGVBI5J2RO7A/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":"2026-08-14T07:47:18Z","links":{"resolver":"https://pith.science/pith/QG724ZMTDUDGIPKGVBI5J2RO7A","bundle":"https://pith.science/pith/QG724ZMTDUDGIPKGVBI5J2RO7A/bundle.json","state":"https://pith.science/pith/QG724ZMTDUDGIPKGVBI5J2RO7A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QG724ZMTDUDGIPKGVBI5J2RO7A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QG724ZMTDUDGIPKGVBI5J2RO7A","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":"46cf568f826a583ce0e2db05c864b51476230fda074651e7c03c22fac53723a8","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.ST","submitted_at":"2024-11-19T07:45:58Z","title_canon_sha256":"7201f4109a030d79c83981e03309032e4c982da7969613339ee4dcaa2b4063a9"},"schema_version":"1.0","source":{"id":"2411.13599","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.13599","created_at":"2026-07-05T10:01:38Z"},{"alias_kind":"arxiv_version","alias_value":"2411.13599v2","created_at":"2026-07-05T10:01:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.13599","created_at":"2026-07-05T10:01:38Z"},{"alias_kind":"pith_short_12","alias_value":"QG724ZMTDUDG","created_at":"2026-07-05T10:01:38Z"},{"alias_kind":"pith_short_16","alias_value":"QG724ZMTDUDGIPKG","created_at":"2026-07-05T10:01:38Z"},{"alias_kind":"pith_short_8","alias_value":"QG724ZMT","created_at":"2026-07-05T10:01:38Z"}],"graph_snapshots":[{"event_id":"sha256:23998906d9f6961af16343deaacfd38fae5ee18477c1323a7b5f76ab76ddd990","target":"graph","created_at":"2026-07-05T10:01:38Z","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/2411.13599/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have achieved remarkable success recently, displaying exceptional capabilities in creating understandable and organized text. These LLMs have been utilized in diverse fields, such as clinical research, where domain-specific models like Med-Palm have achieved human-level performance. Recently, researchers have employed advanced prompt engineering to enhance the general reasoning ability of LLMs. Despite the remarkable success of zero-shot Chain-of-Thoughts (CoT) in solving general reasoning tasks, the potential of these methods still remains paid limited attention i","authors_text":"Gaoguo Jia, Liyuan Chen, Qiang Yang, Shuoling Liu, Yuhang Jiang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.ST","submitted_at":"2024-11-19T07:45:58Z","title":"Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.13599","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":"sha256:7981299b93ea0964252dda89f95e0b0df0283a149385e599727950344a1fc957","target":"record","created_at":"2026-07-05T10:01:38Z","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":"46cf568f826a583ce0e2db05c864b51476230fda074651e7c03c22fac53723a8","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.ST","submitted_at":"2024-11-19T07:45:58Z","title_canon_sha256":"7201f4109a030d79c83981e03309032e4c982da7969613339ee4dcaa2b4063a9"},"schema_version":"1.0","source":{"id":"2411.13599","kind":"arxiv","version":2}},"canonical_sha256":"81bfae65931d06643d46a851d4ea2ef8101dc56f67ee3c93845c4ba505036629","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"81bfae65931d06643d46a851d4ea2ef8101dc56f67ee3c93845c4ba505036629","first_computed_at":"2026-07-05T10:01:38.017942Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:01:38.017942Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hQ6kNTT1F9rO8sPvyqPF0tKX2P94fLwwaKi7gi3Wf4nVcgIWjUtki81NK8Ly1cEARWVRGyAk+zPnlsMwFCj2Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:01:38.018383Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.13599","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7981299b93ea0964252dda89f95e0b0df0283a149385e599727950344a1fc957","sha256:23998906d9f6961af16343deaacfd38fae5ee18477c1323a7b5f76ab76ddd990"],"state_sha256":"f6f090cd35643bcf2d7ef77659f4f539955ec4f3eb42a2321b1959d3eee86484"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R8qVt3jO3bMd82pPSGhWyDwyE5BhBck+M+AP7FYbXhVd8urfpCaCIotoiFRkVj2DaKZ+mdg9VFdHziuXLLA4Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T07:47:18.710210Z","bundle_sha256":"7adc8d7438a63401c84f98e07d6dcfae5686c31597ba76704f9a5a038d0e818e"}}