{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ZHPZQDMAVEP7UP2C2QISXCTVMZ","short_pith_number":"pith:ZHPZQDMA","canonical_record":{"source":{"id":"2405.11403","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-18T22:10:15Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"668d57889a04086b6061e0433ee1ef2e09302fe262c34b6b9aaa77c0b12dc611","abstract_canon_sha256":"3ebb27f6357d0125d0acab149f9b24522457fc758e31ec7fb668af8a170d108a"},"schema_version":"1.0"},"canonical_sha256":"c9df980d80a91ffa3f42d4112b8a75666439d494b44c69b03333ba28551117b4","source":{"kind":"arxiv","id":"2405.11403","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.11403","created_at":"2026-07-05T08:20:38Z"},{"alias_kind":"arxiv_version","alias_value":"2405.11403v1","created_at":"2026-07-05T08:20:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.11403","created_at":"2026-07-05T08:20:38Z"},{"alias_kind":"pith_short_12","alias_value":"ZHPZQDMAVEP7","created_at":"2026-07-05T08:20:38Z"},{"alias_kind":"pith_short_16","alias_value":"ZHPZQDMAVEP7UP2C","created_at":"2026-07-05T08:20:38Z"},{"alias_kind":"pith_short_8","alias_value":"ZHPZQDMA","created_at":"2026-07-05T08:20:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ZHPZQDMAVEP7UP2C2QISXCTVMZ","target":"record","payload":{"canonical_record":{"source":{"id":"2405.11403","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-18T22:10:15Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"668d57889a04086b6061e0433ee1ef2e09302fe262c34b6b9aaa77c0b12dc611","abstract_canon_sha256":"3ebb27f6357d0125d0acab149f9b24522457fc758e31ec7fb668af8a170d108a"},"schema_version":"1.0"},"canonical_sha256":"c9df980d80a91ffa3f42d4112b8a75666439d494b44c69b03333ba28551117b4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:20:38.831674Z","signature_b64":"8TD/ggv9WOK3ToV59aHn2ITIpbAFiPAYEU1g60czlsfpqPybVupOG5VV11rhxawKmriN7yUDtK3pO2wGJbWACQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c9df980d80a91ffa3f42d4112b8a75666439d494b44c69b03333ba28551117b4","last_reissued_at":"2026-07-05T08:20:38.831192Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:20:38.831192Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.11403","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:20:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ToPGxynR6GcYoNQ7A0xDpq5gYs9VF3K4FJe3y6SukpNqt8K9BxHikR9XYmr5M9rlfSUamho8LcjdHlhJkcWkAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-02T05:10:59.849151Z"},"content_sha256":"ab0eea87f384c52302c2c55b2ec0ce6f3506c3a68017ccc27e89845ddc80c975","schema_version":"1.0","event_id":"sha256:ab0eea87f384c52302c2c55b2ec0ce6f3506c3a68017ccc27e89845ddc80c975"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ZHPZQDMAVEP7UP2C2QISXCTVMZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MapCoder: Multi-Agent Code Generation for Competitive Problem Solving","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Md. Ashraful Islam, Md Rizwan Parvez, Mohammed Eunus Ali","submitted_at":"2024-05-18T22:10:15Z","abstract_excerpt":"Code synthesis, which requires a deep understanding of complex natural language problem descriptions, generation of code instructions for complex algorithms and data structures, and the successful execution of comprehensive unit tests, presents a significant challenge. While large language models (LLMs) demonstrate impressive proficiency in natural language processing, their performance in code generation tasks remains limited. In this paper, we introduce a new approach to code generation tasks leveraging multi-agent prompting that uniquely replicates the full cycle of program synthesis as obs"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.11403","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/2405.11403/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":"2026-07-05T08:20:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nrdj2fUcHgkciOODsOcOF2ZRG1gOayif9qcZ3OofbuU3w2s+yPUcSzspZdDC7JGW/JC7bC2kDQvWVb5m1mGFBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-02T05:10:59.849744Z"},"content_sha256":"4a47e8e3a424d7fa1bda229b36d4a15cff3a34317cede6fa60240b8e540203e8","schema_version":"1.0","event_id":"sha256:4a47e8e3a424d7fa1bda229b36d4a15cff3a34317cede6fa60240b8e540203e8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZHPZQDMAVEP7UP2C2QISXCTVMZ/bundle.json","state_url":"https://pith.science/pith/ZHPZQDMAVEP7UP2C2QISXCTVMZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZHPZQDMAVEP7UP2C2QISXCTVMZ/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":"2026-08-02T05:10:59Z","links":{"resolver":"https://pith.science/pith/ZHPZQDMAVEP7UP2C2QISXCTVMZ","bundle":"https://pith.science/pith/ZHPZQDMAVEP7UP2C2QISXCTVMZ/bundle.json","state":"https://pith.science/pith/ZHPZQDMAVEP7UP2C2QISXCTVMZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZHPZQDMAVEP7UP2C2QISXCTVMZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZHPZQDMAVEP7UP2C2QISXCTVMZ","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":"3ebb27f6357d0125d0acab149f9b24522457fc758e31ec7fb668af8a170d108a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-18T22:10:15Z","title_canon_sha256":"668d57889a04086b6061e0433ee1ef2e09302fe262c34b6b9aaa77c0b12dc611"},"schema_version":"1.0","source":{"id":"2405.11403","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.11403","created_at":"2026-07-05T08:20:38Z"},{"alias_kind":"arxiv_version","alias_value":"2405.11403v1","created_at":"2026-07-05T08:20:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.11403","created_at":"2026-07-05T08:20:38Z"},{"alias_kind":"pith_short_12","alias_value":"ZHPZQDMAVEP7","created_at":"2026-07-05T08:20:38Z"},{"alias_kind":"pith_short_16","alias_value":"ZHPZQDMAVEP7UP2C","created_at":"2026-07-05T08:20:38Z"},{"alias_kind":"pith_short_8","alias_value":"ZHPZQDMA","created_at":"2026-07-05T08:20:38Z"}],"graph_snapshots":[{"event_id":"sha256:4a47e8e3a424d7fa1bda229b36d4a15cff3a34317cede6fa60240b8e540203e8","target":"graph","created_at":"2026-07-05T08:20:38Z","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/2405.11403/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Code synthesis, which requires a deep understanding of complex natural language problem descriptions, generation of code instructions for complex algorithms and data structures, and the successful execution of comprehensive unit tests, presents a significant challenge. While large language models (LLMs) demonstrate impressive proficiency in natural language processing, their performance in code generation tasks remains limited. In this paper, we introduce a new approach to code generation tasks leveraging multi-agent prompting that uniquely replicates the full cycle of program synthesis as obs","authors_text":"Md. Ashraful Islam, Md Rizwan Parvez, Mohammed Eunus Ali","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-18T22:10:15Z","title":"MapCoder: Multi-Agent Code Generation for Competitive Problem Solving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.11403","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:ab0eea87f384c52302c2c55b2ec0ce6f3506c3a68017ccc27e89845ddc80c975","target":"record","created_at":"2026-07-05T08:20:38Z","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":"3ebb27f6357d0125d0acab149f9b24522457fc758e31ec7fb668af8a170d108a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-18T22:10:15Z","title_canon_sha256":"668d57889a04086b6061e0433ee1ef2e09302fe262c34b6b9aaa77c0b12dc611"},"schema_version":"1.0","source":{"id":"2405.11403","kind":"arxiv","version":1}},"canonical_sha256":"c9df980d80a91ffa3f42d4112b8a75666439d494b44c69b03333ba28551117b4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c9df980d80a91ffa3f42d4112b8a75666439d494b44c69b03333ba28551117b4","first_computed_at":"2026-07-05T08:20:38.831192Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:20:38.831192Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8TD/ggv9WOK3ToV59aHn2ITIpbAFiPAYEU1g60czlsfpqPybVupOG5VV11rhxawKmriN7yUDtK3pO2wGJbWACQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:20:38.831674Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.11403","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ab0eea87f384c52302c2c55b2ec0ce6f3506c3a68017ccc27e89845ddc80c975","sha256:4a47e8e3a424d7fa1bda229b36d4a15cff3a34317cede6fa60240b8e540203e8"],"state_sha256":"100e58b3c6e35ba3bc5a3d578461e9c58860f0dfe03fccc72db80389f6c1a4b8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xHJIDgMZr9f7wl1yce+drefgJ28rIqLvvh5lhgd8F5bhLTlTloQg8d37hvT9ODo/OKslkvOsslW/bLn73yMlBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-02T05:10:59.854056Z","bundle_sha256":"197c1a7840a561a598afc554678005568a9e85935195a39b37b6226933486627"}}