{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:UL3V7M5GIKWX5AFTTMPWGODW2Y","short_pith_number":"pith:UL3V7M5G","canonical_record":{"source":{"id":"2403.17134","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-03-25T19:17:43Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"440adca69bcbdeb59d3a9a81215f8f00a04bb3bd1ac2479f609fad010ea0266d","abstract_canon_sha256":"db8b344b9ea631a999d4e426e82617d05706a24ee3c5aa02850a9384fd839308"},"schema_version":"1.0"},"canonical_sha256":"a2f75fb3a642ad7e80b39b1f633876d6030de4648f8b2d72dc30966e81f6ae8b","source":{"kind":"arxiv","id":"2403.17134","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.17134","created_at":"2026-05-19T10:15:51Z"},{"alias_kind":"arxiv_version","alias_value":"2403.17134v2","created_at":"2026-05-19T10:15:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.17134","created_at":"2026-05-19T10:15:51Z"},{"alias_kind":"pith_short_12","alias_value":"UL3V7M5GIKWX","created_at":"2026-05-19T10:15:51Z"},{"alias_kind":"pith_short_16","alias_value":"UL3V7M5GIKWX5AFT","created_at":"2026-05-19T10:15:51Z"},{"alias_kind":"pith_short_8","alias_value":"UL3V7M5G","created_at":"2026-05-19T10:15:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:UL3V7M5GIKWX5AFTTMPWGODW2Y","target":"record","payload":{"canonical_record":{"source":{"id":"2403.17134","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-03-25T19:17:43Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"440adca69bcbdeb59d3a9a81215f8f00a04bb3bd1ac2479f609fad010ea0266d","abstract_canon_sha256":"db8b344b9ea631a999d4e426e82617d05706a24ee3c5aa02850a9384fd839308"},"schema_version":"1.0"},"canonical_sha256":"a2f75fb3a642ad7e80b39b1f633876d6030de4648f8b2d72dc30966e81f6ae8b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-19T10:15:51.468999Z","signature_b64":"FO4/5wpbmtzHi2t6r4XqfsKmmIjLxyrDgEjRlIzvo/XQCdSxX0trbSBGGzhAbK7ooNP7f2OJL3UoBWwqdYubCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a2f75fb3a642ad7e80b39b1f633876d6030de4648f8b2d72dc30966e81f6ae8b","last_reissued_at":"2026-05-19T10:15:51.466681Z","signature_status":"signed_v1","first_computed_at":"2026-05-19T10:15:51.466681Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.17134","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":"2026-05-19T10:15:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rhF5ZdBKO/uuaSgWacZkP/V3VB2SCWy77KR3fUN+DVNbpdKT2euhFG6BFn2nWDILtbNGKbN+AhIBLVRGS3O6CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T09:45:19.274943Z"},"content_sha256":"539399cf10563dce3e8f13565860f217bed2d474a8100e4d69dacb8d3eb7b7f6","schema_version":"1.0","event_id":"sha256:539399cf10563dce3e8f13565860f217bed2d474a8100e4d69dacb8d3eb7b7f6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:UL3V7M5GIKWX5AFTTMPWGODW2Y","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RepairAgent: An Autonomous, LLM-Based Agent for Program Repair","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.SE","authors_text":"Islem Bouzenia, Michael Pradel, Premkumar Devanbu","submitted_at":"2024-03-25T19:17:43Z","abstract_excerpt":"Automated program repair has emerged as a powerful technique to mitigate the impact of software bugs on system reliability and user experience. This paper introduces RepairAgent, the first work to address the program repair challenge through an autonomous agent based on a large language model (LLM). Unlike existing deep learning-based approaches, which prompt a model with a fixed prompt or in a fixed feedback loop, our work treats the LLM as an agent capable of autonomously planning and executing actions to fix bugs by invoking suitable tools. RepairAgent freely interleaves gathering informati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.17134","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/2403.17134/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":"2026-05-19T10:15:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4iAyaxWRl/N2jPLPKWa0DyTjBojVLGUeO+RYIL1EjUsNpdOtGJjs4uWvjFiylj6sboRk9QRHhxSbw6eQ6xuHAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T09:45:19.275743Z"},"content_sha256":"5257069c7e07798a78da7964c9aa72c8b5d1611572f3014e5899cbb80e456013","schema_version":"1.0","event_id":"sha256:5257069c7e07798a78da7964c9aa72c8b5d1611572f3014e5899cbb80e456013"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UL3V7M5GIKWX5AFTTMPWGODW2Y/bundle.json","state_url":"https://pith.science/pith/UL3V7M5GIKWX5AFTTMPWGODW2Y/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UL3V7M5GIKWX5AFTTMPWGODW2Y/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":"2026-05-23T09:45:19Z","links":{"resolver":"https://pith.science/pith/UL3V7M5GIKWX5AFTTMPWGODW2Y","bundle":"https://pith.science/pith/UL3V7M5GIKWX5AFTTMPWGODW2Y/bundle.json","state":"https://pith.science/pith/UL3V7M5GIKWX5AFTTMPWGODW2Y/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UL3V7M5GIKWX5AFTTMPWGODW2Y/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:UL3V7M5GIKWX5AFTTMPWGODW2Y","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":"db8b344b9ea631a999d4e426e82617d05706a24ee3c5aa02850a9384fd839308","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-03-25T19:17:43Z","title_canon_sha256":"440adca69bcbdeb59d3a9a81215f8f00a04bb3bd1ac2479f609fad010ea0266d"},"schema_version":"1.0","source":{"id":"2403.17134","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.17134","created_at":"2026-05-19T10:15:51Z"},{"alias_kind":"arxiv_version","alias_value":"2403.17134v2","created_at":"2026-05-19T10:15:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.17134","created_at":"2026-05-19T10:15:51Z"},{"alias_kind":"pith_short_12","alias_value":"UL3V7M5GIKWX","created_at":"2026-05-19T10:15:51Z"},{"alias_kind":"pith_short_16","alias_value":"UL3V7M5GIKWX5AFT","created_at":"2026-05-19T10:15:51Z"},{"alias_kind":"pith_short_8","alias_value":"UL3V7M5G","created_at":"2026-05-19T10:15:51Z"}],"graph_snapshots":[{"event_id":"sha256:5257069c7e07798a78da7964c9aa72c8b5d1611572f3014e5899cbb80e456013","target":"graph","created_at":"2026-05-19T10:15:51Z","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/2403.17134/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automated program repair has emerged as a powerful technique to mitigate the impact of software bugs on system reliability and user experience. This paper introduces RepairAgent, the first work to address the program repair challenge through an autonomous agent based on a large language model (LLM). Unlike existing deep learning-based approaches, which prompt a model with a fixed prompt or in a fixed feedback loop, our work treats the LLM as an agent capable of autonomously planning and executing actions to fix bugs by invoking suitable tools. RepairAgent freely interleaves gathering informati","authors_text":"Islem Bouzenia, Michael Pradel, Premkumar Devanbu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-03-25T19:17:43Z","title":"RepairAgent: An Autonomous, LLM-Based Agent for Program Repair"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.17134","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":"sha256:539399cf10563dce3e8f13565860f217bed2d474a8100e4d69dacb8d3eb7b7f6","target":"record","created_at":"2026-05-19T10:15:51Z","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":"db8b344b9ea631a999d4e426e82617d05706a24ee3c5aa02850a9384fd839308","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-03-25T19:17:43Z","title_canon_sha256":"440adca69bcbdeb59d3a9a81215f8f00a04bb3bd1ac2479f609fad010ea0266d"},"schema_version":"1.0","source":{"id":"2403.17134","kind":"arxiv","version":2}},"canonical_sha256":"a2f75fb3a642ad7e80b39b1f633876d6030de4648f8b2d72dc30966e81f6ae8b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a2f75fb3a642ad7e80b39b1f633876d6030de4648f8b2d72dc30966e81f6ae8b","first_computed_at":"2026-05-19T10:15:51.466681Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-19T10:15:51.466681Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FO4/5wpbmtzHi2t6r4XqfsKmmIjLxyrDgEjRlIzvo/XQCdSxX0trbSBGGzhAbK7ooNP7f2OJL3UoBWwqdYubCw==","signature_status":"signed_v1","signed_at":"2026-05-19T10:15:51.468999Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.17134","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:539399cf10563dce3e8f13565860f217bed2d474a8100e4d69dacb8d3eb7b7f6","sha256:5257069c7e07798a78da7964c9aa72c8b5d1611572f3014e5899cbb80e456013"],"state_sha256":"706014303dbe9a814389dc470f1425fa16d0ceaf026b4281a84f89a0dbdac36b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DBnYGLZYSEdzD56BDBv2K83JhNZL7AL2a0Gx7ghhMnWMhgx8s6jg/dqr5pG6Lhjq72tzrvIj3xjvm3LylbugBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-23T09:45:19.280087Z","bundle_sha256":"aa412139e79cbdc7c2c36686a3fc4e09493e0962ce1b4377b8ccd055ea5a75a3"}}