{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:DLZDWY6CYTUX6E4HZSFDEW3VQK","short_pith_number":"pith:DLZDWY6C","canonical_record":{"source":{"id":"2504.02329","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-03T07:06:55Z","cross_cats_sorted":["cs.CV","cs.SE"],"title_canon_sha256":"5ccf91f139450aa7341df46899763156f28e8de4b29e2fd7680ef3a64c560cd7","abstract_canon_sha256":"6e176b2989bdd68699838977101714d2f18d7ff2e18027fa24a5e42d324d0024"},"schema_version":"1.0"},"canonical_sha256":"1af23b63c2c4e97f1387cc8a325b75828a3cad288ba6feacf10b3eeba07eaa3b","source":{"kind":"arxiv","id":"2504.02329","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.02329","created_at":"2026-07-05T10:45:39Z"},{"alias_kind":"arxiv_version","alias_value":"2504.02329v2","created_at":"2026-07-05T10:45:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.02329","created_at":"2026-07-05T10:45:39Z"},{"alias_kind":"pith_short_12","alias_value":"DLZDWY6CYTUX","created_at":"2026-07-05T10:45:39Z"},{"alias_kind":"pith_short_16","alias_value":"DLZDWY6CYTUX6E4H","created_at":"2026-07-05T10:45:39Z"},{"alias_kind":"pith_short_8","alias_value":"DLZDWY6C","created_at":"2026-07-05T10:45:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:DLZDWY6CYTUX6E4HZSFDEW3VQK","target":"record","payload":{"canonical_record":{"source":{"id":"2504.02329","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-03T07:06:55Z","cross_cats_sorted":["cs.CV","cs.SE"],"title_canon_sha256":"5ccf91f139450aa7341df46899763156f28e8de4b29e2fd7680ef3a64c560cd7","abstract_canon_sha256":"6e176b2989bdd68699838977101714d2f18d7ff2e18027fa24a5e42d324d0024"},"schema_version":"1.0"},"canonical_sha256":"1af23b63c2c4e97f1387cc8a325b75828a3cad288ba6feacf10b3eeba07eaa3b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:45:39.374854Z","signature_b64":"/zf3MIL1K3GP50IuvOeE/ZZXwKEE7XfI2AWAr99R0/JGxdde7u/+IKvr1RPyxyu4/+QxItg7ObFZFvwjiLCfCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1af23b63c2c4e97f1387cc8a325b75828a3cad288ba6feacf10b3eeba07eaa3b","last_reissued_at":"2026-07-05T10:45:39.374366Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:45:39.374366Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.02329","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":"2026-07-05T10:45:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3yb6r7B10ASjpexfxvfFdDSfZtJAXrEVMsXEs7+KdaBgqGT7qj7g7czxTLk04YLKSmUuWYYU6UybxzlVqq/yAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:12:59.007480Z"},"content_sha256":"b7f41b4d2621d53821c715db442f64fe1006ad76e48685bd7a671b01ccd56b0b","schema_version":"1.0","event_id":"sha256:b7f41b4d2621d53821c715db442f64fe1006ad76e48685bd7a671b01ccd56b0b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:DLZDWY6CYTUX6E4HZSFDEW3VQK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Assessing Deep Learning Test Input Generators","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.SE"],"primary_cat":"cs.LG","authors_text":"Ahmed Haj Yahmed, Diego Elias Costa, Foutse Khomh, Mohamed Elshafei, Seif Mzoughi","submitted_at":"2025-04-03T07:06:55Z","abstract_excerpt":"Deep Learning (DL) systems are increasingly deployed in safety-critical applications, yet they remain vulnerable to robustness issues that can lead to significant failures. While numerous Test Input Generators (TIGs) have been developed to evaluate DL robustness, a comprehensive assessment of their effectiveness across different dimensions is still lacking. This paper presents a comprehensive assessment of four state-of-the-art TIGs--DeepHunter, DeepFault, AdvGAN, and SinVAD--across multiple critical aspects: fault-revealing capability, naturalness, diversity, and efficiency. Our empirical stu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.02329","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/2504.02329/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":"2026-07-05T10:45:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4BNm1+qnwhTOtcll74SKZoSbnG0GOff4R8V7b7wedVSnZ4EcLiZTka68SVS99iCnYInDV6V2c4LuUQXE1v5yCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:12:59.007867Z"},"content_sha256":"e4461dc453194c31ef098afd65e0f592bdad21b277a3ffa7ea2d9a64b0f01d9a","schema_version":"1.0","event_id":"sha256:e4461dc453194c31ef098afd65e0f592bdad21b277a3ffa7ea2d9a64b0f01d9a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DLZDWY6CYTUX6E4HZSFDEW3VQK/bundle.json","state_url":"https://pith.science/pith/DLZDWY6CYTUX6E4HZSFDEW3VQK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DLZDWY6CYTUX6E4HZSFDEW3VQK/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":"2026-07-07T07:12:59Z","links":{"resolver":"https://pith.science/pith/DLZDWY6CYTUX6E4HZSFDEW3VQK","bundle":"https://pith.science/pith/DLZDWY6CYTUX6E4HZSFDEW3VQK/bundle.json","state":"https://pith.science/pith/DLZDWY6CYTUX6E4HZSFDEW3VQK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DLZDWY6CYTUX6E4HZSFDEW3VQK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DLZDWY6CYTUX6E4HZSFDEW3VQK","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":"6e176b2989bdd68699838977101714d2f18d7ff2e18027fa24a5e42d324d0024","cross_cats_sorted":["cs.CV","cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-03T07:06:55Z","title_canon_sha256":"5ccf91f139450aa7341df46899763156f28e8de4b29e2fd7680ef3a64c560cd7"},"schema_version":"1.0","source":{"id":"2504.02329","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.02329","created_at":"2026-07-05T10:45:39Z"},{"alias_kind":"arxiv_version","alias_value":"2504.02329v2","created_at":"2026-07-05T10:45:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.02329","created_at":"2026-07-05T10:45:39Z"},{"alias_kind":"pith_short_12","alias_value":"DLZDWY6CYTUX","created_at":"2026-07-05T10:45:39Z"},{"alias_kind":"pith_short_16","alias_value":"DLZDWY6CYTUX6E4H","created_at":"2026-07-05T10:45:39Z"},{"alias_kind":"pith_short_8","alias_value":"DLZDWY6C","created_at":"2026-07-05T10:45:39Z"}],"graph_snapshots":[{"event_id":"sha256:e4461dc453194c31ef098afd65e0f592bdad21b277a3ffa7ea2d9a64b0f01d9a","target":"graph","created_at":"2026-07-05T10:45:39Z","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/2504.02329/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep Learning (DL) systems are increasingly deployed in safety-critical applications, yet they remain vulnerable to robustness issues that can lead to significant failures. While numerous Test Input Generators (TIGs) have been developed to evaluate DL robustness, a comprehensive assessment of their effectiveness across different dimensions is still lacking. This paper presents a comprehensive assessment of four state-of-the-art TIGs--DeepHunter, DeepFault, AdvGAN, and SinVAD--across multiple critical aspects: fault-revealing capability, naturalness, diversity, and efficiency. Our empirical stu","authors_text":"Ahmed Haj Yahmed, Diego Elias Costa, Foutse Khomh, Mohamed Elshafei, Seif Mzoughi","cross_cats":["cs.CV","cs.SE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-03T07:06:55Z","title":"Towards Assessing Deep Learning Test Input Generators"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.02329","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:b7f41b4d2621d53821c715db442f64fe1006ad76e48685bd7a671b01ccd56b0b","target":"record","created_at":"2026-07-05T10:45:39Z","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":"6e176b2989bdd68699838977101714d2f18d7ff2e18027fa24a5e42d324d0024","cross_cats_sorted":["cs.CV","cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-03T07:06:55Z","title_canon_sha256":"5ccf91f139450aa7341df46899763156f28e8de4b29e2fd7680ef3a64c560cd7"},"schema_version":"1.0","source":{"id":"2504.02329","kind":"arxiv","version":2}},"canonical_sha256":"1af23b63c2c4e97f1387cc8a325b75828a3cad288ba6feacf10b3eeba07eaa3b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1af23b63c2c4e97f1387cc8a325b75828a3cad288ba6feacf10b3eeba07eaa3b","first_computed_at":"2026-07-05T10:45:39.374366Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:45:39.374366Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/zf3MIL1K3GP50IuvOeE/ZZXwKEE7XfI2AWAr99R0/JGxdde7u/+IKvr1RPyxyu4/+QxItg7ObFZFvwjiLCfCg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:45:39.374854Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.02329","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b7f41b4d2621d53821c715db442f64fe1006ad76e48685bd7a671b01ccd56b0b","sha256:e4461dc453194c31ef098afd65e0f592bdad21b277a3ffa7ea2d9a64b0f01d9a"],"state_sha256":"2074ed5461ea69c64c1f544603fbd46e3d4732238f0342d4c87f31d27b3be718"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j4oPq7Jqf4VJdYb7yOsib8+Sof3luYQ2JizL8lDpRSIkHO0Z5inqm8jGpcB+yXZFqxlXL3uH0Czn5w8xW6O2BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T07:12:59.010153Z","bundle_sha256":"dfcce6184532f9bbe509819d34f3c945bf52d559ae3e4e0bd26c291c8304ac2a"}}