{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:JGNBOKKKY2HVZYBY6ECEH4ROIQ","short_pith_number":"pith:JGNBOKKK","canonical_record":{"source":{"id":"1901.01808","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2018-12-24T18:04:14Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"d98b72f236a4e6d5182057a236376102d534b7c1e9ad1a011274a918b9eca4fe","abstract_canon_sha256":"a68c0863af5e582f2793be022a2681623ee5858621df5832aa534a8ea8fb73d1"},"schema_version":"1.0"},"canonical_sha256":"499a17294ac68f5ce038f10443f22e441e7df6cfbc7f7ee4fd1b43ec841d3d9c","source":{"kind":"arxiv","id":"1901.01808","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.01808","created_at":"2026-07-05T00:03:55Z"},{"alias_kind":"arxiv_version","alias_value":"1901.01808v3","created_at":"2026-07-05T00:03:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.01808","created_at":"2026-07-05T00:03:55Z"},{"alias_kind":"pith_short_12","alias_value":"JGNBOKKKY2HV","created_at":"2026-07-05T00:03:55Z"},{"alias_kind":"pith_short_16","alias_value":"JGNBOKKKY2HVZYBY","created_at":"2026-07-05T00:03:55Z"},{"alias_kind":"pith_short_8","alias_value":"JGNBOKKK","created_at":"2026-07-05T00:03:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:JGNBOKKKY2HVZYBY6ECEH4ROIQ","target":"record","payload":{"canonical_record":{"source":{"id":"1901.01808","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2018-12-24T18:04:14Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"d98b72f236a4e6d5182057a236376102d534b7c1e9ad1a011274a918b9eca4fe","abstract_canon_sha256":"a68c0863af5e582f2793be022a2681623ee5858621df5832aa534a8ea8fb73d1"},"schema_version":"1.0"},"canonical_sha256":"499a17294ac68f5ce038f10443f22e441e7df6cfbc7f7ee4fd1b43ec841d3d9c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:03:55.196916Z","signature_b64":"xseEnfdTSuTT0raijvwcoAtNegow7vjw6SDo7BRAyZWL+rFVZ8D7d8AbW5NVUMq7P8b2hdWZ+mJtiQEy8ZK6AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"499a17294ac68f5ce038f10443f22e441e7df6cfbc7f7ee4fd1b43ec841d3d9c","last_reissued_at":"2026-07-05T00:03:55.196459Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:03:55.196459Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1901.01808","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":"2026-07-05T00:03:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E/t3O8ks6rmn0yveSrfgwwQA3tbxAUWHusWFuCYQTSw4aILCm4D14bka1gno6X1WN3ob2yO9zlV1MZwqYs42CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T20:41:57.575887Z"},"content_sha256":"ea9ae6a7831a8f89fc33a44d2dfaba86c663cfe1b5639175a7af643fb973cc85","schema_version":"1.0","event_id":"sha256:ea9ae6a7831a8f89fc33a44d2dfaba86c663cfe1b5639175a7af643fb973cc85"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:JGNBOKKKY2HVZYBY6ECEH4ROIQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.SE","authors_text":"Denys Poshyvanyk, Louis-No\\\"el Pouchet, Martin Monperrus, Michele Tufano, Steve Kommrusch, Zimin Chen","submitted_at":"2018-12-24T18:04:14Z","abstract_excerpt":"This paper presents a novel end-to-end approach to program repair based on sequence-to-sequence learning. We devise, implement, and evaluate a system, called SequenceR, for fixing bugs based on sequence-to-sequence learning on source code. This approach uses the copy mechanism to overcome the unlimited vocabulary problem that occurs with big code. Our system is data-driven; we train it on 35,578 samples, carefully curated from commits to open-source repositories. We evaluate it on 4,711 independent real bug fixes, as well on the Defects4J benchmark used in program repair research. SequenceR is"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.01808","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/1901.01808/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":"2026-07-05T00:03:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cte16bplsyzYr9sM7zy8yjq1oNnPUealsRp0NeflfnFt+/0Ai4HV8dn/ErtkcFTmuWcD5copt39gVnbJaJPzBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T20:41:57.576404Z"},"content_sha256":"5c81478debdf3599895e107469d336fb2feae101e23a7d9674e6b327e3f5bb35","schema_version":"1.0","event_id":"sha256:5c81478debdf3599895e107469d336fb2feae101e23a7d9674e6b327e3f5bb35"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JGNBOKKKY2HVZYBY6ECEH4ROIQ/bundle.json","state_url":"https://pith.science/pith/JGNBOKKKY2HVZYBY6ECEH4ROIQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JGNBOKKKY2HVZYBY6ECEH4ROIQ/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":"2026-08-09T20:41:57Z","links":{"resolver":"https://pith.science/pith/JGNBOKKKY2HVZYBY6ECEH4ROIQ","bundle":"https://pith.science/pith/JGNBOKKKY2HVZYBY6ECEH4ROIQ/bundle.json","state":"https://pith.science/pith/JGNBOKKKY2HVZYBY6ECEH4ROIQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JGNBOKKKY2HVZYBY6ECEH4ROIQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:JGNBOKKKY2HVZYBY6ECEH4ROIQ","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":"a68c0863af5e582f2793be022a2681623ee5858621df5832aa534a8ea8fb73d1","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2018-12-24T18:04:14Z","title_canon_sha256":"d98b72f236a4e6d5182057a236376102d534b7c1e9ad1a011274a918b9eca4fe"},"schema_version":"1.0","source":{"id":"1901.01808","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.01808","created_at":"2026-07-05T00:03:55Z"},{"alias_kind":"arxiv_version","alias_value":"1901.01808v3","created_at":"2026-07-05T00:03:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.01808","created_at":"2026-07-05T00:03:55Z"},{"alias_kind":"pith_short_12","alias_value":"JGNBOKKKY2HV","created_at":"2026-07-05T00:03:55Z"},{"alias_kind":"pith_short_16","alias_value":"JGNBOKKKY2HVZYBY","created_at":"2026-07-05T00:03:55Z"},{"alias_kind":"pith_short_8","alias_value":"JGNBOKKK","created_at":"2026-07-05T00:03:55Z"}],"graph_snapshots":[{"event_id":"sha256:5c81478debdf3599895e107469d336fb2feae101e23a7d9674e6b327e3f5bb35","target":"graph","created_at":"2026-07-05T00:03:55Z","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/1901.01808/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents a novel end-to-end approach to program repair based on sequence-to-sequence learning. We devise, implement, and evaluate a system, called SequenceR, for fixing bugs based on sequence-to-sequence learning on source code. This approach uses the copy mechanism to overcome the unlimited vocabulary problem that occurs with big code. Our system is data-driven; we train it on 35,578 samples, carefully curated from commits to open-source repositories. We evaluate it on 4,711 independent real bug fixes, as well on the Defects4J benchmark used in program repair research. SequenceR is","authors_text":"Denys Poshyvanyk, Louis-No\\\"el Pouchet, Martin Monperrus, Michele Tufano, Steve Kommrusch, Zimin Chen","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2018-12-24T18:04:14Z","title":"SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.01808","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:ea9ae6a7831a8f89fc33a44d2dfaba86c663cfe1b5639175a7af643fb973cc85","target":"record","created_at":"2026-07-05T00:03:55Z","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":"a68c0863af5e582f2793be022a2681623ee5858621df5832aa534a8ea8fb73d1","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2018-12-24T18:04:14Z","title_canon_sha256":"d98b72f236a4e6d5182057a236376102d534b7c1e9ad1a011274a918b9eca4fe"},"schema_version":"1.0","source":{"id":"1901.01808","kind":"arxiv","version":3}},"canonical_sha256":"499a17294ac68f5ce038f10443f22e441e7df6cfbc7f7ee4fd1b43ec841d3d9c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"499a17294ac68f5ce038f10443f22e441e7df6cfbc7f7ee4fd1b43ec841d3d9c","first_computed_at":"2026-07-05T00:03:55.196459Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:03:55.196459Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xseEnfdTSuTT0raijvwcoAtNegow7vjw6SDo7BRAyZWL+rFVZ8D7d8AbW5NVUMq7P8b2hdWZ+mJtiQEy8ZK6AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:03:55.196916Z","signed_message":"canonical_sha256_bytes"},"source_id":"1901.01808","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ea9ae6a7831a8f89fc33a44d2dfaba86c663cfe1b5639175a7af643fb973cc85","sha256:5c81478debdf3599895e107469d336fb2feae101e23a7d9674e6b327e3f5bb35"],"state_sha256":"b4e7d0e116dbe48578a4d728bc9eaace5a8e2a9a0a5002bafc8d43c4ffcea791"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GhzHTM3DG+F+bx1KNIfahgcgbA8kc1lv+U0PCZI3+Q+asQkx65tIgqSGhP1oJYryFYKqVx4TsCxjGrWG9rVUDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T20:41:57.582608Z","bundle_sha256":"5254cc05c7d4e6252d213f1d495bd056eacfd8252cb763afc042bce5608f8ff4"}}