{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:S7TZDQTNLRHYHCBXVSSLPZ3FLO","short_pith_number":"pith:S7TZDQTN","canonical_record":{"source":{"id":"2304.07590","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2023-04-15T16:33:32Z","cross_cats_sorted":[],"title_canon_sha256":"1a807f92ea5d3c0ed8c608217248f972f3e4603668d661efe03a71974a7627aa","abstract_canon_sha256":"788f4d3002689b0e7a04524bc9d71402dfaaa9456a24f5be69143fef179f92f9"},"schema_version":"1.0"},"canonical_sha256":"97e791c26d5c4f838837aca4b7e7655b8f2cbb4ebcff8afef799a364e7ca3230","source":{"kind":"arxiv","id":"2304.07590","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.07590","created_at":"2026-07-05T08:17:56Z"},{"alias_kind":"arxiv_version","alias_value":"2304.07590v3","created_at":"2026-07-05T08:17:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.07590","created_at":"2026-07-05T08:17:56Z"},{"alias_kind":"pith_short_12","alias_value":"S7TZDQTNLRHY","created_at":"2026-07-05T08:17:56Z"},{"alias_kind":"pith_short_16","alias_value":"S7TZDQTNLRHYHCBX","created_at":"2026-07-05T08:17:56Z"},{"alias_kind":"pith_short_8","alias_value":"S7TZDQTN","created_at":"2026-07-05T08:17:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:S7TZDQTNLRHYHCBXVSSLPZ3FLO","target":"record","payload":{"canonical_record":{"source":{"id":"2304.07590","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2023-04-15T16:33:32Z","cross_cats_sorted":[],"title_canon_sha256":"1a807f92ea5d3c0ed8c608217248f972f3e4603668d661efe03a71974a7627aa","abstract_canon_sha256":"788f4d3002689b0e7a04524bc9d71402dfaaa9456a24f5be69143fef179f92f9"},"schema_version":"1.0"},"canonical_sha256":"97e791c26d5c4f838837aca4b7e7655b8f2cbb4ebcff8afef799a364e7ca3230","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:17:56.686123Z","signature_b64":"ewoFo2OREFw3G0s8iWq9BcOYd3K/sXYqS2FbSAlVu094WcR0PcebUBRwkaqpgQIMQMWraFDss9lvLRHqaMyVBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"97e791c26d5c4f838837aca4b7e7655b8f2cbb4ebcff8afef799a364e7ca3230","last_reissued_at":"2026-07-05T08:17:56.685582Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:17:56.685582Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.07590","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:17:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Efy4SD5QtDboTtFbj2r/s+sND3zPv9r0MHU0YzkPijGDW/Lp5nYQT6q+wETZDW/OnK2Di/VGAmTRf0d5fzA+Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T02:47:18.917798Z"},"content_sha256":"ebf98dc282700d282ffd874340ac152014886d0298ade16ef54984878c0d6822","schema_version":"1.0","event_id":"sha256:ebf98dc282700d282ffd874340ac152014886d0298ade16ef54984878c0d6822"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:S7TZDQTNLRHYHCBXVSSLPZ3FLO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Self-collaboration Code Generation via ChatGPT","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Ge Li, Xue Jiang, Yihong Dong, Zhi Jin","submitted_at":"2023-04-15T16:33:32Z","abstract_excerpt":"Although Large Language Models (LLMs) have demonstrated remarkable code-generation ability, they still struggle with complex tasks. In real-world software development, humans usually tackle complex tasks through collaborative teamwork, a strategy that significantly controls development complexity and enhances software quality. Inspired by this, we present a self-collaboration framework for code generation employing LLMs, exemplified by ChatGPT. Specifically, through role instructions, 1) Multiple LLM agents act as distinct `experts', each responsible for a specific subtask within a complex tas"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.07590","kind":"arxiv","version":3},"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/2304.07590/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":"2026-07-05T08:17:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R9NckCY7bEI1n5/IZ06pd4OjDFiBRC2k9KiHL0U0U+oTLHEMrEagQQGbK3vQL+oAkjDjC0Itbik5xf0MV/u/CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T02:47:18.918188Z"},"content_sha256":"3beb14e8b849a491d678ce6d01b38249a1beb7643654551fef107571f9264c8c","schema_version":"1.0","event_id":"sha256:3beb14e8b849a491d678ce6d01b38249a1beb7643654551fef107571f9264c8c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/S7TZDQTNLRHYHCBXVSSLPZ3FLO/bundle.json","state_url":"https://pith.science/pith/S7TZDQTNLRHYHCBXVSSLPZ3FLO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/S7TZDQTNLRHYHCBXVSSLPZ3FLO/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":"2026-07-07T02:47:18Z","links":{"resolver":"https://pith.science/pith/S7TZDQTNLRHYHCBXVSSLPZ3FLO","bundle":"https://pith.science/pith/S7TZDQTNLRHYHCBXVSSLPZ3FLO/bundle.json","state":"https://pith.science/pith/S7TZDQTNLRHYHCBXVSSLPZ3FLO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/S7TZDQTNLRHYHCBXVSSLPZ3FLO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:S7TZDQTNLRHYHCBXVSSLPZ3FLO","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":"788f4d3002689b0e7a04524bc9d71402dfaaa9456a24f5be69143fef179f92f9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2023-04-15T16:33:32Z","title_canon_sha256":"1a807f92ea5d3c0ed8c608217248f972f3e4603668d661efe03a71974a7627aa"},"schema_version":"1.0","source":{"id":"2304.07590","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.07590","created_at":"2026-07-05T08:17:56Z"},{"alias_kind":"arxiv_version","alias_value":"2304.07590v3","created_at":"2026-07-05T08:17:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.07590","created_at":"2026-07-05T08:17:56Z"},{"alias_kind":"pith_short_12","alias_value":"S7TZDQTNLRHY","created_at":"2026-07-05T08:17:56Z"},{"alias_kind":"pith_short_16","alias_value":"S7TZDQTNLRHYHCBX","created_at":"2026-07-05T08:17:56Z"},{"alias_kind":"pith_short_8","alias_value":"S7TZDQTN","created_at":"2026-07-05T08:17:56Z"}],"graph_snapshots":[{"event_id":"sha256:3beb14e8b849a491d678ce6d01b38249a1beb7643654551fef107571f9264c8c","target":"graph","created_at":"2026-07-05T08:17:56Z","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/2304.07590/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Although Large Language Models (LLMs) have demonstrated remarkable code-generation ability, they still struggle with complex tasks. In real-world software development, humans usually tackle complex tasks through collaborative teamwork, a strategy that significantly controls development complexity and enhances software quality. Inspired by this, we present a self-collaboration framework for code generation employing LLMs, exemplified by ChatGPT. Specifically, through role instructions, 1) Multiple LLM agents act as distinct `experts', each responsible for a specific subtask within a complex tas","authors_text":"Ge Li, Xue Jiang, Yihong Dong, Zhi Jin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2023-04-15T16:33:32Z","title":"Self-collaboration Code Generation via ChatGPT"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.07590","kind":"arxiv","version":3},"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:ebf98dc282700d282ffd874340ac152014886d0298ade16ef54984878c0d6822","target":"record","created_at":"2026-07-05T08:17:56Z","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":"788f4d3002689b0e7a04524bc9d71402dfaaa9456a24f5be69143fef179f92f9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2023-04-15T16:33:32Z","title_canon_sha256":"1a807f92ea5d3c0ed8c608217248f972f3e4603668d661efe03a71974a7627aa"},"schema_version":"1.0","source":{"id":"2304.07590","kind":"arxiv","version":3}},"canonical_sha256":"97e791c26d5c4f838837aca4b7e7655b8f2cbb4ebcff8afef799a364e7ca3230","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"97e791c26d5c4f838837aca4b7e7655b8f2cbb4ebcff8afef799a364e7ca3230","first_computed_at":"2026-07-05T08:17:56.685582Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:17:56.685582Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ewoFo2OREFw3G0s8iWq9BcOYd3K/sXYqS2FbSAlVu094WcR0PcebUBRwkaqpgQIMQMWraFDss9lvLRHqaMyVBw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:17:56.686123Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.07590","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ebf98dc282700d282ffd874340ac152014886d0298ade16ef54984878c0d6822","sha256:3beb14e8b849a491d678ce6d01b38249a1beb7643654551fef107571f9264c8c"],"state_sha256":"73383395303422b55c99939b4ce86a00e81fef14524e8442aaa9d31e512da489"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EjUz5fFBxU6LH6I0joXMb6a0KDixe/2sb0P4MPIP35K/IwApRS7WQmLlFOkORH5EYdpuLDABxEY20r+QRG/CCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T02:47:18.920090Z","bundle_sha256":"56fa0758c68354fcd3831f53a3fee2e4b55dde17279f56c6f13df082ae95c330"}}