{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:VKNLARRUKR4SK7Q6AU3BO6LF3P","short_pith_number":"pith:VKNLARRU","canonical_record":{"source":{"id":"2402.05359","kind":"arxiv","version":6},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-02-08T02:37:30Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"52c9e90731a42d4cd837d91fa3e1ef1f50570725ab5c331118baceadd59d1858","abstract_canon_sha256":"55e9bba48506da824123fb8ec13b1812e5c138cb4d1f6faead84df580ac22dcc"},"schema_version":"1.0"},"canonical_sha256":"aa9ab046345479257e1e0536177965dbec6ed7217a883f260b4a8d7470bd4a61","source":{"kind":"arxiv","id":"2402.05359","version":6},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.05359","created_at":"2026-07-05T08:39:30Z"},{"alias_kind":"arxiv_version","alias_value":"2402.05359v6","created_at":"2026-07-05T08:39:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.05359","created_at":"2026-07-05T08:39:30Z"},{"alias_kind":"pith_short_12","alias_value":"VKNLARRUKR4S","created_at":"2026-07-05T08:39:30Z"},{"alias_kind":"pith_short_16","alias_value":"VKNLARRUKR4SK7Q6","created_at":"2026-07-05T08:39:30Z"},{"alias_kind":"pith_short_8","alias_value":"VKNLARRU","created_at":"2026-07-05T08:39:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:VKNLARRUKR4SK7Q6AU3BO6LF3P","target":"record","payload":{"canonical_record":{"source":{"id":"2402.05359","kind":"arxiv","version":6},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-02-08T02:37:30Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"52c9e90731a42d4cd837d91fa3e1ef1f50570725ab5c331118baceadd59d1858","abstract_canon_sha256":"55e9bba48506da824123fb8ec13b1812e5c138cb4d1f6faead84df580ac22dcc"},"schema_version":"1.0"},"canonical_sha256":"aa9ab046345479257e1e0536177965dbec6ed7217a883f260b4a8d7470bd4a61","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:39:30.935531Z","signature_b64":"+IC09TEhtHo73Il7/Z4DWFcvLf+/TfAfeceNsM309FusZ/hovcL98R+xhLz8l4zc7Um+iNwD7IV9rKxa4eOvAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aa9ab046345479257e1e0536177965dbec6ed7217a883f260b4a8d7470bd4a61","last_reissued_at":"2026-07-05T08:39:30.935031Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:39:30.935031Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.05359","source_version":6,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:39:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Lvn1nZzrcvuRdY9y+qnou2yLx2QmbEAyGOVaiGqmJD+guymJ0yVt93x0laSuUwBd6bwSrTOKE+VU6Hn8JTwdDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T21:26:21.359693Z"},"content_sha256":"0de764a34c8d3fbf94c6db62943cc6ca39785d3f06c57dc256ae5d3fa941755b","schema_version":"1.0","event_id":"sha256:0de764a34c8d3fbf94c6db62943cc6ca39785d3f06c57dc256ae5d3fa941755b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:VKNLARRUKR4SK7Q6AU3BO6LF3P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.LG"],"primary_cat":"cs.AI","authors_text":"Defu Cao, Lun Du, Qiang Fu, Yan Liu, Yizhou Zhang","submitted_at":"2024-02-08T02:37:30Z","abstract_excerpt":"Foundation models, such as Large language Models (LLMs), have attracted significant amount of interest due to their large number of applications. However, when handling tasks involving repetitive sub-tasks and/or deceptive contents, such as arithmetic calculation and article-level fake news detection, simple instructional prompts suffer from inaccurate responses. Existing works show that more complicated prompting strategies, such as Chain-of-Thoughts and Least-to-Most, can unlock LLM's powerful capacity in diverse areas. Recent researches reveal that simple divide-and-conquer prompting strate"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.05359","kind":"arxiv","version":6},"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/2402.05359/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":"2026-07-05T08:39:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xgdGErrmWLjuG8+XS4UaP8enX8E+QmRev6ihh14O6ClTr/CWFlHxhkAsM8b0YurhbFsDp/JRNIOA1n8GAULqBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T21:26:21.360393Z"},"content_sha256":"3e00ef432525f5982fbe1ea374cd65d2873df3a1ec15c9a8e38a201d88e2bf66","schema_version":"1.0","event_id":"sha256:3e00ef432525f5982fbe1ea374cd65d2873df3a1ec15c9a8e38a201d88e2bf66"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VKNLARRUKR4SK7Q6AU3BO6LF3P/bundle.json","state_url":"https://pith.science/pith/VKNLARRUKR4SK7Q6AU3BO6LF3P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VKNLARRUKR4SK7Q6AU3BO6LF3P/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":"2026-08-21T21:26:21Z","links":{"resolver":"https://pith.science/pith/VKNLARRUKR4SK7Q6AU3BO6LF3P","bundle":"https://pith.science/pith/VKNLARRUKR4SK7Q6AU3BO6LF3P/bundle.json","state":"https://pith.science/pith/VKNLARRUKR4SK7Q6AU3BO6LF3P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VKNLARRUKR4SK7Q6AU3BO6LF3P/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:VKNLARRUKR4SK7Q6AU3BO6LF3P","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":"55e9bba48506da824123fb8ec13b1812e5c138cb4d1f6faead84df580ac22dcc","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-02-08T02:37:30Z","title_canon_sha256":"52c9e90731a42d4cd837d91fa3e1ef1f50570725ab5c331118baceadd59d1858"},"schema_version":"1.0","source":{"id":"2402.05359","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.05359","created_at":"2026-07-05T08:39:30Z"},{"alias_kind":"arxiv_version","alias_value":"2402.05359v6","created_at":"2026-07-05T08:39:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.05359","created_at":"2026-07-05T08:39:30Z"},{"alias_kind":"pith_short_12","alias_value":"VKNLARRUKR4S","created_at":"2026-07-05T08:39:30Z"},{"alias_kind":"pith_short_16","alias_value":"VKNLARRUKR4SK7Q6","created_at":"2026-07-05T08:39:30Z"},{"alias_kind":"pith_short_8","alias_value":"VKNLARRU","created_at":"2026-07-05T08:39:30Z"}],"graph_snapshots":[{"event_id":"sha256:3e00ef432525f5982fbe1ea374cd65d2873df3a1ec15c9a8e38a201d88e2bf66","target":"graph","created_at":"2026-07-05T08:39:30Z","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/2402.05359/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Foundation models, such as Large language Models (LLMs), have attracted significant amount of interest due to their large number of applications. However, when handling tasks involving repetitive sub-tasks and/or deceptive contents, such as arithmetic calculation and article-level fake news detection, simple instructional prompts suffer from inaccurate responses. Existing works show that more complicated prompting strategies, such as Chain-of-Thoughts and Least-to-Most, can unlock LLM's powerful capacity in diverse areas. Recent researches reveal that simple divide-and-conquer prompting strate","authors_text":"Defu Cao, Lun Du, Qiang Fu, Yan Liu, Yizhou Zhang","cross_cats":["cs.CL","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-02-08T02:37:30Z","title":"An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.05359","kind":"arxiv","version":6},"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":"sha256:0de764a34c8d3fbf94c6db62943cc6ca39785d3f06c57dc256ae5d3fa941755b","target":"record","created_at":"2026-07-05T08:39:30Z","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":"55e9bba48506da824123fb8ec13b1812e5c138cb4d1f6faead84df580ac22dcc","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-02-08T02:37:30Z","title_canon_sha256":"52c9e90731a42d4cd837d91fa3e1ef1f50570725ab5c331118baceadd59d1858"},"schema_version":"1.0","source":{"id":"2402.05359","kind":"arxiv","version":6}},"canonical_sha256":"aa9ab046345479257e1e0536177965dbec6ed7217a883f260b4a8d7470bd4a61","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aa9ab046345479257e1e0536177965dbec6ed7217a883f260b4a8d7470bd4a61","first_computed_at":"2026-07-05T08:39:30.935031Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:39:30.935031Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+IC09TEhtHo73Il7/Z4DWFcvLf+/TfAfeceNsM309FusZ/hovcL98R+xhLz8l4zc7Um+iNwD7IV9rKxa4eOvAw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:39:30.935531Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.05359","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0de764a34c8d3fbf94c6db62943cc6ca39785d3f06c57dc256ae5d3fa941755b","sha256:3e00ef432525f5982fbe1ea374cd65d2873df3a1ec15c9a8e38a201d88e2bf66"],"state_sha256":"e7d4c4deeaa4572dbc119da48c19e1fd9680fe49248be551a91ec590b23be69e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/5j2xsZGEprGTEgUMhK7McWQJqw5X4ev9EHRQ1MfR31ZlXULLPdBoUtHNwLuiC3EeX5mv3y1OQyF+lfTzMkjCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T21:26:21.365222Z","bundle_sha256":"1c90ef178a22009f0d49d5e6876676b14fab622042fcc80417fa1fceb470130d"}}