{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:WHRQVUFMSTQ54BT76HPUEJB67P","short_pith_number":"pith:WHRQVUFM","canonical_record":{"source":{"id":"2506.13186","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-06-16T07:52:15Z","cross_cats_sorted":[],"title_canon_sha256":"de14eaa2ac11864520999e7590bd66e5656f4bbb2f3449a8e372a375ca9ed8a0","abstract_canon_sha256":"3b4140c7c46a3f3c117547f9433dae497b99db413a95a7f5a6d5b0922da58b68"},"schema_version":"1.0"},"canonical_sha256":"b1e30ad0ac94e1de067ff1df42243efbfbc3f928b144e373fdbc5010b5e421e4","source":{"kind":"arxiv","id":"2506.13186","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.13186","created_at":"2026-07-05T11:22:06Z"},{"alias_kind":"arxiv_version","alias_value":"2506.13186v1","created_at":"2026-07-05T11:22:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.13186","created_at":"2026-07-05T11:22:06Z"},{"alias_kind":"pith_short_12","alias_value":"WHRQVUFMSTQ5","created_at":"2026-07-05T11:22:06Z"},{"alias_kind":"pith_short_16","alias_value":"WHRQVUFMSTQ54BT7","created_at":"2026-07-05T11:22:06Z"},{"alias_kind":"pith_short_8","alias_value":"WHRQVUFM","created_at":"2026-07-05T11:22:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:WHRQVUFMSTQ54BT76HPUEJB67P","target":"record","payload":{"canonical_record":{"source":{"id":"2506.13186","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-06-16T07:52:15Z","cross_cats_sorted":[],"title_canon_sha256":"de14eaa2ac11864520999e7590bd66e5656f4bbb2f3449a8e372a375ca9ed8a0","abstract_canon_sha256":"3b4140c7c46a3f3c117547f9433dae497b99db413a95a7f5a6d5b0922da58b68"},"schema_version":"1.0"},"canonical_sha256":"b1e30ad0ac94e1de067ff1df42243efbfbc3f928b144e373fdbc5010b5e421e4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:22:06.408804Z","signature_b64":"OAqDis16bBoaz3+If7yZRD+vGu1XdKR2m0PZUd51oQ0RyRtMh6/lg95rYVFCa+b4Bx/+fRQ6o0JcRRkTcZ0JCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b1e30ad0ac94e1de067ff1df42243efbfbc3f928b144e373fdbc5010b5e421e4","last_reissued_at":"2026-07-05T11:22:06.408364Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:22:06.408364Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.13186","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":"2026-07-05T11:22:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bGoyd2Gq6hR3wdzYpgp0iR0d1xUipQCajPcXfdjAai8YhDyldgMb559x/GsGj/8T7vgHVTUnJ1cH7mMHFAMnDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:34:07.231456Z"},"content_sha256":"63d90afe8804cad1fd69be6a895e298b0bb8a96119708303b3c8a221d4c06d1a","schema_version":"1.0","event_id":"sha256:63d90afe8804cad1fd69be6a895e298b0bb8a96119708303b3c8a221d4c06d1a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:WHRQVUFMSTQ54BT76HPUEJB67P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Empirical Evaluation of Large Language Models in Automated Program Repair","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Fengjie Li, Hongyu Zhang, Jiajun Jiang, Jiajun Sun, Xinzhu Qi","submitted_at":"2025-06-16T07:52:15Z","abstract_excerpt":"The increasing prevalence of software bugs has made automated program repair (APR) a key research focus. Large language models (LLMs) offer new opportunities for APR, but existing studies mostly rely on smaller, earlier-generation models and Java benchmarks. The repair capabilities of modern, large-scale LLMs across diverse languages and scenarios remain underexplored. To address this, we conduct a comprehensive empirical study of four open-source LLMs, CodeLlama, LLaMA, StarCoder, and DeepSeek-Coder, spanning 7B to 33B parameters, diverse architectures, and purposes. We evaluate them across t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.13186","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/2506.13186/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":"2026-07-05T11:22:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wapY0qeG5+aZYjkV59GfYOmbOQTuBIehz91ttL3XOTiNGS1lKZQzFmj4Oye5XbTPgxQp8y/1UVUGmDQnqOgXBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:34:07.231967Z"},"content_sha256":"01578eed1a22a9a279d99c7486f9344921b7b4f0aeb901fb6a1bd07ec887aef8","schema_version":"1.0","event_id":"sha256:01578eed1a22a9a279d99c7486f9344921b7b4f0aeb901fb6a1bd07ec887aef8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WHRQVUFMSTQ54BT76HPUEJB67P/bundle.json","state_url":"https://pith.science/pith/WHRQVUFMSTQ54BT76HPUEJB67P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WHRQVUFMSTQ54BT76HPUEJB67P/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":"2026-08-07T18:34:07Z","links":{"resolver":"https://pith.science/pith/WHRQVUFMSTQ54BT76HPUEJB67P","bundle":"https://pith.science/pith/WHRQVUFMSTQ54BT76HPUEJB67P/bundle.json","state":"https://pith.science/pith/WHRQVUFMSTQ54BT76HPUEJB67P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WHRQVUFMSTQ54BT76HPUEJB67P/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WHRQVUFMSTQ54BT76HPUEJB67P","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":"3b4140c7c46a3f3c117547f9433dae497b99db413a95a7f5a6d5b0922da58b68","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-06-16T07:52:15Z","title_canon_sha256":"de14eaa2ac11864520999e7590bd66e5656f4bbb2f3449a8e372a375ca9ed8a0"},"schema_version":"1.0","source":{"id":"2506.13186","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.13186","created_at":"2026-07-05T11:22:06Z"},{"alias_kind":"arxiv_version","alias_value":"2506.13186v1","created_at":"2026-07-05T11:22:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.13186","created_at":"2026-07-05T11:22:06Z"},{"alias_kind":"pith_short_12","alias_value":"WHRQVUFMSTQ5","created_at":"2026-07-05T11:22:06Z"},{"alias_kind":"pith_short_16","alias_value":"WHRQVUFMSTQ54BT7","created_at":"2026-07-05T11:22:06Z"},{"alias_kind":"pith_short_8","alias_value":"WHRQVUFM","created_at":"2026-07-05T11:22:06Z"}],"graph_snapshots":[{"event_id":"sha256:01578eed1a22a9a279d99c7486f9344921b7b4f0aeb901fb6a1bd07ec887aef8","target":"graph","created_at":"2026-07-05T11:22:06Z","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/2506.13186/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The increasing prevalence of software bugs has made automated program repair (APR) a key research focus. Large language models (LLMs) offer new opportunities for APR, but existing studies mostly rely on smaller, earlier-generation models and Java benchmarks. The repair capabilities of modern, large-scale LLMs across diverse languages and scenarios remain underexplored. To address this, we conduct a comprehensive empirical study of four open-source LLMs, CodeLlama, LLaMA, StarCoder, and DeepSeek-Coder, spanning 7B to 33B parameters, diverse architectures, and purposes. We evaluate them across t","authors_text":"Fengjie Li, Hongyu Zhang, Jiajun Jiang, Jiajun Sun, Xinzhu Qi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-06-16T07:52:15Z","title":"Empirical Evaluation of Large Language Models in Automated Program Repair"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.13186","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":"sha256:63d90afe8804cad1fd69be6a895e298b0bb8a96119708303b3c8a221d4c06d1a","target":"record","created_at":"2026-07-05T11:22:06Z","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":"3b4140c7c46a3f3c117547f9433dae497b99db413a95a7f5a6d5b0922da58b68","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-06-16T07:52:15Z","title_canon_sha256":"de14eaa2ac11864520999e7590bd66e5656f4bbb2f3449a8e372a375ca9ed8a0"},"schema_version":"1.0","source":{"id":"2506.13186","kind":"arxiv","version":1}},"canonical_sha256":"b1e30ad0ac94e1de067ff1df42243efbfbc3f928b144e373fdbc5010b5e421e4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b1e30ad0ac94e1de067ff1df42243efbfbc3f928b144e373fdbc5010b5e421e4","first_computed_at":"2026-07-05T11:22:06.408364Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:22:06.408364Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OAqDis16bBoaz3+If7yZRD+vGu1XdKR2m0PZUd51oQ0RyRtMh6/lg95rYVFCa+b4Bx/+fRQ6o0JcRRkTcZ0JCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:22:06.408804Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.13186","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:63d90afe8804cad1fd69be6a895e298b0bb8a96119708303b3c8a221d4c06d1a","sha256:01578eed1a22a9a279d99c7486f9344921b7b4f0aeb901fb6a1bd07ec887aef8"],"state_sha256":"5e327be2d258b59ea3d5a9863c8ecfd33eac2dd457fda4bc5b43399ddf2f6651"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/p4r3xUiSu0uJZXfwXASHEnSdapP9UbkWrC5ZBGtjRIcKDpzh+DR14NAy3gRoPzHl5HVuM1Zj0OZeqf4mavFAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T18:34:07.245220Z","bundle_sha256":"69f6b13f9ae1c983e4c1acd01b1a3a804fc2fa97fad2cb5d0ee1ce7101fa4689"}}