{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:IGOQYR5KP3GD5NIRTK6WNKW4NH","short_pith_number":"pith:IGOQYR5K","canonical_record":{"source":{"id":"2508.01472","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2025-08-02T19:43:15Z","cross_cats_sorted":[],"title_canon_sha256":"ecec92eb27efdc4c8e923b3dc47fc077676ef6b3a32baf55238e4ec10a69e6b6","abstract_canon_sha256":"ec2fc821605a384d803d7d46d083dc81ce0ed921caf33ffdc48d4515083206d0"},"schema_version":"1.0"},"canonical_sha256":"419d0c47aa7ecc3eb5119abd66aadc69f975ae29aa55309110dfb59d4d00e200","source":{"kind":"arxiv","id":"2508.01472","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.01472","created_at":"2026-07-05T11:47:39Z"},{"alias_kind":"arxiv_version","alias_value":"2508.01472v1","created_at":"2026-07-05T11:47:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.01472","created_at":"2026-07-05T11:47:39Z"},{"alias_kind":"pith_short_12","alias_value":"IGOQYR5KP3GD","created_at":"2026-07-05T11:47:39Z"},{"alias_kind":"pith_short_16","alias_value":"IGOQYR5KP3GD5NIR","created_at":"2026-07-05T11:47:39Z"},{"alias_kind":"pith_short_8","alias_value":"IGOQYR5K","created_at":"2026-07-05T11:47:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:IGOQYR5KP3GD5NIRTK6WNKW4NH","target":"record","payload":{"canonical_record":{"source":{"id":"2508.01472","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2025-08-02T19:43:15Z","cross_cats_sorted":[],"title_canon_sha256":"ecec92eb27efdc4c8e923b3dc47fc077676ef6b3a32baf55238e4ec10a69e6b6","abstract_canon_sha256":"ec2fc821605a384d803d7d46d083dc81ce0ed921caf33ffdc48d4515083206d0"},"schema_version":"1.0"},"canonical_sha256":"419d0c47aa7ecc3eb5119abd66aadc69f975ae29aa55309110dfb59d4d00e200","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:47:39.686165Z","signature_b64":"isjWUmj6R1say9W/juWReabaVXYsG02nbrMv1dB9iHzONQmbFeu88KLTNtZZ5iabRdCHxNMWczvAICfpW62tBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"419d0c47aa7ecc3eb5119abd66aadc69f975ae29aa55309110dfb59d4d00e200","last_reissued_at":"2026-07-05T11:47:39.685622Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:47:39.685622Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.01472","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":"2026-07-05T11:47:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I8B+JiF3DSuHISP4y19VDbZwwzJ6W2kf3X3FLOzVqASchsEFECcgnIDDNrX4GK0qD5lB+RPzaGDNkqycUHsECQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T22:26:15.160824Z"},"content_sha256":"001932f15cf161bbc907172856c8a8c10893d469e8117dba7738a46c8a766564","schema_version":"1.0","event_id":"sha256:001932f15cf161bbc907172856c8a8c10893d469e8117dba7738a46c8a766564"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:IGOQYR5KP3GD5NIRTK6WNKW4NH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Directed Grammar-Based Test Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Design), Ezekiel Soremekun (Singapore University of Technology, Lukas Kirschner (Saarland University, University of Luxembourg)","submitted_at":"2025-08-02T19:43:15Z","abstract_excerpt":"To effectively test complex software, it is important to generate goal-specific inputs, i.e., inputs that achieve a specific testing goal. However, most state-of-the-art test generators are not designed to target specific goals. Notably, grammar-based test generators, which (randomly) produce syntactically valid inputs via an input specification (i.e., grammar) have a low probability of achieving an arbitrary testing goal. This work addresses this challenge by proposing an automated test generation approach (called FdLoop) which iteratively learns relevant input properties from existing inputs"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.01472","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/2508.01472/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":"2026-07-05T11:47:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ukh6f35HqZ5Zg/fw+KFiIdPtvCg3RwEkNMuoJW1vg2ODr/uh2btkMM50kO8ludVBFWtKiuPpE6JOkJv4KmtNBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T22:26:15.161446Z"},"content_sha256":"28a1d9513a9493ae40280f2ab3546f2cbaf78824ad80545b291dfa27d21e7558","schema_version":"1.0","event_id":"sha256:28a1d9513a9493ae40280f2ab3546f2cbaf78824ad80545b291dfa27d21e7558"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IGOQYR5KP3GD5NIRTK6WNKW4NH/bundle.json","state_url":"https://pith.science/pith/IGOQYR5KP3GD5NIRTK6WNKW4NH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IGOQYR5KP3GD5NIRTK6WNKW4NH/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":"2026-08-09T22:26:15Z","links":{"resolver":"https://pith.science/pith/IGOQYR5KP3GD5NIRTK6WNKW4NH","bundle":"https://pith.science/pith/IGOQYR5KP3GD5NIRTK6WNKW4NH/bundle.json","state":"https://pith.science/pith/IGOQYR5KP3GD5NIRTK6WNKW4NH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IGOQYR5KP3GD5NIRTK6WNKW4NH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:IGOQYR5KP3GD5NIRTK6WNKW4NH","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":"ec2fc821605a384d803d7d46d083dc81ce0ed921caf33ffdc48d4515083206d0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2025-08-02T19:43:15Z","title_canon_sha256":"ecec92eb27efdc4c8e923b3dc47fc077676ef6b3a32baf55238e4ec10a69e6b6"},"schema_version":"1.0","source":{"id":"2508.01472","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.01472","created_at":"2026-07-05T11:47:39Z"},{"alias_kind":"arxiv_version","alias_value":"2508.01472v1","created_at":"2026-07-05T11:47:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.01472","created_at":"2026-07-05T11:47:39Z"},{"alias_kind":"pith_short_12","alias_value":"IGOQYR5KP3GD","created_at":"2026-07-05T11:47:39Z"},{"alias_kind":"pith_short_16","alias_value":"IGOQYR5KP3GD5NIR","created_at":"2026-07-05T11:47:39Z"},{"alias_kind":"pith_short_8","alias_value":"IGOQYR5K","created_at":"2026-07-05T11:47:39Z"}],"graph_snapshots":[{"event_id":"sha256:28a1d9513a9493ae40280f2ab3546f2cbaf78824ad80545b291dfa27d21e7558","target":"graph","created_at":"2026-07-05T11:47:39Z","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/2508.01472/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To effectively test complex software, it is important to generate goal-specific inputs, i.e., inputs that achieve a specific testing goal. However, most state-of-the-art test generators are not designed to target specific goals. Notably, grammar-based test generators, which (randomly) produce syntactically valid inputs via an input specification (i.e., grammar) have a low probability of achieving an arbitrary testing goal. This work addresses this challenge by proposing an automated test generation approach (called FdLoop) which iteratively learns relevant input properties from existing inputs","authors_text":"Design), Ezekiel Soremekun (Singapore University of Technology, Lukas Kirschner (Saarland University, University of Luxembourg)","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2025-08-02T19:43:15Z","title":"Directed Grammar-Based Test Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.01472","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":"sha256:001932f15cf161bbc907172856c8a8c10893d469e8117dba7738a46c8a766564","target":"record","created_at":"2026-07-05T11:47:39Z","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":"ec2fc821605a384d803d7d46d083dc81ce0ed921caf33ffdc48d4515083206d0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2025-08-02T19:43:15Z","title_canon_sha256":"ecec92eb27efdc4c8e923b3dc47fc077676ef6b3a32baf55238e4ec10a69e6b6"},"schema_version":"1.0","source":{"id":"2508.01472","kind":"arxiv","version":1}},"canonical_sha256":"419d0c47aa7ecc3eb5119abd66aadc69f975ae29aa55309110dfb59d4d00e200","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"419d0c47aa7ecc3eb5119abd66aadc69f975ae29aa55309110dfb59d4d00e200","first_computed_at":"2026-07-05T11:47:39.685622Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:47:39.685622Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"isjWUmj6R1say9W/juWReabaVXYsG02nbrMv1dB9iHzONQmbFeu88KLTNtZZ5iabRdCHxNMWczvAICfpW62tBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:47:39.686165Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.01472","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:001932f15cf161bbc907172856c8a8c10893d469e8117dba7738a46c8a766564","sha256:28a1d9513a9493ae40280f2ab3546f2cbaf78824ad80545b291dfa27d21e7558"],"state_sha256":"fa3b8c1986d31d2df9619c4e8bb6d6861e794925a90956033bb3d8bfb0548af7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5Jqs6yG1w+dsG/bXgUhemmvZLXMfASveHDGhDLxhbT+qVR2uq4e7Q9nnlyDzhT3z/m3JkLWhEJ8WKGoPXIcDAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T22:26:15.165746Z","bundle_sha256":"2b99f790da6d2285592213953170305c0fa4b3a5ef928c71e6a0694dc06d7c6f"}}