{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:676HFBBX5K4EEWKXADHHWKIKQA","short_pith_number":"pith:676HFBBX","canonical_record":{"source":{"id":"2501.11086","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-01-19T15:46:26Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a7c040ce43e54783d4f9ac9a7e29437e6535a2aa70c105f5bf3b709aec7fe314","abstract_canon_sha256":"d2a60fe1ac137806bcc5fa0f18f58cb8f61c7a479298892ee71692d10bb9f4f3"},"schema_version":"1.0"},"canonical_sha256":"f7fc728437eab842595700ce7b290a801238e31dbf242a2c25b742d1308db9c2","source":{"kind":"arxiv","id":"2501.11086","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.11086","created_at":"2026-07-05T10:03:03Z"},{"alias_kind":"arxiv_version","alias_value":"2501.11086v1","created_at":"2026-07-05T10:03:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.11086","created_at":"2026-07-05T10:03:03Z"},{"alias_kind":"pith_short_12","alias_value":"676HFBBX5K4E","created_at":"2026-07-05T10:03:03Z"},{"alias_kind":"pith_short_16","alias_value":"676HFBBX5K4EEWKX","created_at":"2026-07-05T10:03:03Z"},{"alias_kind":"pith_short_8","alias_value":"676HFBBX","created_at":"2026-07-05T10:03:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:676HFBBX5K4EEWKXADHHWKIKQA","target":"record","payload":{"canonical_record":{"source":{"id":"2501.11086","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-01-19T15:46:26Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a7c040ce43e54783d4f9ac9a7e29437e6535a2aa70c105f5bf3b709aec7fe314","abstract_canon_sha256":"d2a60fe1ac137806bcc5fa0f18f58cb8f61c7a479298892ee71692d10bb9f4f3"},"schema_version":"1.0"},"canonical_sha256":"f7fc728437eab842595700ce7b290a801238e31dbf242a2c25b742d1308db9c2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:03:03.148934Z","signature_b64":"msnQxbg0n0IEH8YsgWOrAsgfNHnAvFHt4qZMuZ460HRB8We7d2N2UpJBvCmy5jEg67+oOuqF8aJzWwlPiD9wBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f7fc728437eab842595700ce7b290a801238e31dbf242a2c25b742d1308db9c2","last_reissued_at":"2026-07-05T10:03:03.148396Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:03:03.148396Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.11086","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":"2026-07-05T10:03:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"csQvOJ6f94xKGgi1yMK4ECHlJ85/HKvwOwZyLCi2/xKn5Hc0JIRJGjszrGG6xhUqjwbE+mJARDPelZVnJyrTCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T21:04:16.996925Z"},"content_sha256":"388bbfbf987ffb7bfc6d5ef5d97acf7ac79e060a752bc96203e4cb9739f72bdb","schema_version":"1.0","event_id":"sha256:388bbfbf987ffb7bfc6d5ef5d97acf7ac79e060a752bc96203e4cb9739f72bdb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:676HFBBX5K4EEWKXADHHWKIKQA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Can LLM Generate Regression Tests for Software Commits?","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.SE","authors_text":"Eleonora Losiouk, Jing Liu, Marcel B\\\"ohme, Seongmin Lee","submitted_at":"2025-01-19T15:46:26Z","abstract_excerpt":"Large Language Models (LLMs) have shown tremendous promise in automated software engineering. In this paper, we investigate the opportunities of LLMs for automatic regression test generation for programs that take highly structured, human-readable inputs, such as XML parsers or JavaScript interpreters. Concretely, we explore the following regression test generation scenarios for such programs that have so far been difficult to test automatically in the absence of corresponding input grammars:\n  $\\bullet$ Bug finding. Given a code change (e.g., a commit or pull request), our LLM-based approach "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.11086","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/2501.11086/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":"2026-07-05T10:03:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GFkikKJE0pQYfSi1nRjjrecd9tc9vK+v08VRm+w/A5uGOj4GbIUszHLHj371wNoEye9uTCcj1TPtnzdf37nrBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T21:04:16.997728Z"},"content_sha256":"0000842b962299a8869cf5aa6f2a3eb4efe1ee3b28d7a16f91e01f46a5a1b1ff","schema_version":"1.0","event_id":"sha256:0000842b962299a8869cf5aa6f2a3eb4efe1ee3b28d7a16f91e01f46a5a1b1ff"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/676HFBBX5K4EEWKXADHHWKIKQA/bundle.json","state_url":"https://pith.science/pith/676HFBBX5K4EEWKXADHHWKIKQA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/676HFBBX5K4EEWKXADHHWKIKQA/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":"2026-08-09T21:04:17Z","links":{"resolver":"https://pith.science/pith/676HFBBX5K4EEWKXADHHWKIKQA","bundle":"https://pith.science/pith/676HFBBX5K4EEWKXADHHWKIKQA/bundle.json","state":"https://pith.science/pith/676HFBBX5K4EEWKXADHHWKIKQA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/676HFBBX5K4EEWKXADHHWKIKQA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:676HFBBX5K4EEWKXADHHWKIKQA","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":"d2a60fe1ac137806bcc5fa0f18f58cb8f61c7a479298892ee71692d10bb9f4f3","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-01-19T15:46:26Z","title_canon_sha256":"a7c040ce43e54783d4f9ac9a7e29437e6535a2aa70c105f5bf3b709aec7fe314"},"schema_version":"1.0","source":{"id":"2501.11086","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.11086","created_at":"2026-07-05T10:03:03Z"},{"alias_kind":"arxiv_version","alias_value":"2501.11086v1","created_at":"2026-07-05T10:03:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.11086","created_at":"2026-07-05T10:03:03Z"},{"alias_kind":"pith_short_12","alias_value":"676HFBBX5K4E","created_at":"2026-07-05T10:03:03Z"},{"alias_kind":"pith_short_16","alias_value":"676HFBBX5K4EEWKX","created_at":"2026-07-05T10:03:03Z"},{"alias_kind":"pith_short_8","alias_value":"676HFBBX","created_at":"2026-07-05T10:03:03Z"}],"graph_snapshots":[{"event_id":"sha256:0000842b962299a8869cf5aa6f2a3eb4efe1ee3b28d7a16f91e01f46a5a1b1ff","target":"graph","created_at":"2026-07-05T10:03:03Z","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/2501.11086/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have shown tremendous promise in automated software engineering. In this paper, we investigate the opportunities of LLMs for automatic regression test generation for programs that take highly structured, human-readable inputs, such as XML parsers or JavaScript interpreters. Concretely, we explore the following regression test generation scenarios for such programs that have so far been difficult to test automatically in the absence of corresponding input grammars:\n  $\\bullet$ Bug finding. Given a code change (e.g., a commit or pull request), our LLM-based approach ","authors_text":"Eleonora Losiouk, Jing Liu, Marcel B\\\"ohme, Seongmin Lee","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-01-19T15:46:26Z","title":"Can LLM Generate Regression Tests for Software Commits?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.11086","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":"sha256:388bbfbf987ffb7bfc6d5ef5d97acf7ac79e060a752bc96203e4cb9739f72bdb","target":"record","created_at":"2026-07-05T10:03:03Z","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":"d2a60fe1ac137806bcc5fa0f18f58cb8f61c7a479298892ee71692d10bb9f4f3","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-01-19T15:46:26Z","title_canon_sha256":"a7c040ce43e54783d4f9ac9a7e29437e6535a2aa70c105f5bf3b709aec7fe314"},"schema_version":"1.0","source":{"id":"2501.11086","kind":"arxiv","version":1}},"canonical_sha256":"f7fc728437eab842595700ce7b290a801238e31dbf242a2c25b742d1308db9c2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f7fc728437eab842595700ce7b290a801238e31dbf242a2c25b742d1308db9c2","first_computed_at":"2026-07-05T10:03:03.148396Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:03:03.148396Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"msnQxbg0n0IEH8YsgWOrAsgfNHnAvFHt4qZMuZ460HRB8We7d2N2UpJBvCmy5jEg67+oOuqF8aJzWwlPiD9wBA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:03:03.148934Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.11086","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:388bbfbf987ffb7bfc6d5ef5d97acf7ac79e060a752bc96203e4cb9739f72bdb","sha256:0000842b962299a8869cf5aa6f2a3eb4efe1ee3b28d7a16f91e01f46a5a1b1ff"],"state_sha256":"61f453fe6eb78f3ded68f1730af6476cec528f01878782f63443fffc29fbf7cc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ATZXpOx2yxIJWJulSvYLApyoBdKhJUUpHcFQpbaQOXNryoawtLs1oe8F6qcd2J5C4qGOHxfTxvk25WKsorKGDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T21:04:17.001966Z","bundle_sha256":"39629a6906e36b320bd629d451202c19f4bab61e605de9749d82ea19d37238f7"}}