{"as_of":"2026-08-08T04:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7a43b889a9e00402be6a3b197180e2fcbf454c30a252364c5ff93e8be4a77c17","coverage":[{"denominator":177,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:18:08.432077Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.00496/citation-record","integrity":"/paper/2507.00496/integrity","json":"/paper/2507.00496/citation-record.json","paper":"/paper/2507.00496"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:05.806321Z","title":"Identifying relevant studies in software engineering.Information and Software Technology53, 6 (2011), 625–637","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:05.806321Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:72813cc4f55bb4067a36cd2811393b29eb34493152b8cfaa1724117d7af24474","observation_id":"19342317-629a-4849-9aa1-7ac484d8516c","resolution":{"observed_at":"2026-08-06T21:18:05.806321Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:05.829415Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:05.829415Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:83e3b1dda36c799d1cd4ff1875d64732d5185010b9e945128c1f17aad3c06bee","observation_id":"eaa82cb3-4c34-4ac9-870f-e46d3e32ec8a","resolution":{"observed_at":"2026-08-06T21:18:05.829415Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:05.863981Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:05.863981Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:48c49dbeb675d188386e9bb397129cb65633f9533839a73e8dfe07e876a15ca0","observation_id":"d6dcd5bf-6eef-48a2-b7f5-af7b7a4eabe0","resolution":{"observed_at":"2026-08-06T21:18:05.863981Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:05.900531Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:05.900531Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:410965b23545525cad8cc1790699d819d0aea7da1466c8ab67f0bbac7d3124b8","observation_id":"ae079f0b-33df-4922-bc12-7b496cefb4a2","resolution":{"observed_at":"2026-08-06T21:18:05.900531Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:05.932827Z","title":"Fahmy, Fabrizio Pastore, and Lionel C","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:05.932827Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:207e66381f8c49c67772673a30382242dae5b10154d02d741b4b2e67db271741","observation_id":"e421681d-ff8b-4ec9-89c5-18814126a94a","resolution":{"observed_at":"2026-08-06T21:18:05.932827Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:05.960141Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:05.960141Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:8eb57886c3442228f8223d46ce680b372f15909d789b20877d4373a685a73186","observation_id":"532f99b7-77c7-42b5-b2b5-f12a61a0a1fa","resolution":{"observed_at":"2026-08-06T21:18:05.960141Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:05.988034Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:05.988034Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:1011c51f5ff61a7e18d46d0f12853c621054bf371f21bc8cf8df8891cdb0bb42","observation_id":"040d010e-9c6e-4465-b0bb-aa047942e68e","resolution":{"observed_at":"2026-08-06T21:18:05.988034Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.025056Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.025056Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:8abcdaa43fb1b59a39cecb1303c9898ba26cafba17da3e762bfa86c4e779e7db","observation_id":"41bc620a-cbd7-452f-8bdd-2d3cd32a95e2","resolution":{"observed_at":"2026-08-06T21:18:06.025056Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.059919Z","title":"Lucas, Peter I","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.059919Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:05086d29d6bb1ee06f9a054211050cc50df82f583b27bc7ebd92eece4cd00d59","observation_id":"88950198-219e-4536-bae7-e8c74f3ca9ed","resolution":{"observed_at":"2026-08-06T21:18:06.059919Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.096255Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.096255Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:2ac6c31abb4da70b55d6ea36b1370b282f43796b3a1d51b70515358e3ab774cc","observation_id":"377e0dae-ba7e-40e0-a308-2a5ab89ff2d0","resolution":{"observed_at":"2026-08-06T21:18:06.096255Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.130443Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.130443Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:033b73487d68e03c98cac03e795540de15f7638e0e012a8eb73b0a45fc2fe900","observation_id":"1909d6e9-40a4-4340-b44d-44d0390c81fc","resolution":{"observed_at":"2026-08-06T21:18:06.130443Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.157859Z","title":null,"venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.157859Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:93f7522b6c028411040d2e975a15ce1f64f40c855b7afa37bb0939ccaae8c558","observation_id":"3721891e-1a6f-42e8-a588-54903f6c069e","resolution":{"observed_at":"2026-08-06T21:18:06.157859Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.193044Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.193044Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:57e0863d45bc263057c7a447131e12a74f50229480160edc79cf2bc0a1e7ffaa","observation_id":"b0e9bdde-0b0e-4f84-a362-b6909778b5e7","resolution":{"observed_at":"2026-08-06T21:18:06.193044Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.221245Z","title":null,"venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.221245Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:d41afff979079d15d26d0322598bc9461c9788b36f96e615dd1ea8eb316d11a3","observation_id":"bc1b334c-27c9-4733-8be1-db1ad9f24496","resolution":{"observed_at":"2026-08-06T21:18:06.221245Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.257282Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.257282Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:2ab1758e24f8213bb483ea7b5351afe0c7e3b3ae7dcc0748164a0909f1743d8c","observation_id":"6e696dbd-9252-43ed-b746-31117cd855cf","resolution":{"observed_at":"2026-08-06T21:18:06.257282Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.292322Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.292322Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:7a00dd6d968ec6ecd0fea7c38a2df73bfc4da7182288a21b9dc6a1b616506869","observation_id":"c6dada1e-097b-4d6b-8cb0-3e0a0e0f64fb","resolution":{"observed_at":"2026-08-06T21:18:06.292322Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.12543","last_updated":"2020-02-28T04:47:31Z","snapshot_observed_at":"2026-08-07T06:21:05.707237Z","submitted_at":"2020-02-28T04:47:31Z","title":"Metamorphic Testing: A New Approach for Generating Next Test Cases","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.12543","snapshot_observed_at":"2026-08-06T21:18:06.327394Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.327394Z"},"links":{"cited_paper":"/paper/2002.12543","citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:5e397e7fedc04645154b761da08462524ee28598875473d6885b11d5900ddbb0","observation_id":"0dbc9ed1-1b27-4961-bd69-b958b222b9be","resolution":{"observed_at":"2026-08-06T21:18:06.327394Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.359012Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.359012Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:1a60e184cbda6ac7ebf0305c39d428d138e0e11f5b706f844843cd8c3bb4a7eb","observation_id":"4c025a92-f76e-4b5a-9b82-b72df95890a2","resolution":{"observed_at":"2026-08-06T21:18:06.359012Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.396959Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.396959Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:ece8f41c53e1cf6b4c5af6e593e9f8509db5161f3673e222763dc3b63fcd5491","observation_id":"a4e428f0-63b4-4576-8694-0916a9b86f8e","resolution":{"observed_at":"2026-08-06T21:18:06.396959Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.429593Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.429593Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:72ca0e8b76a6577a8fc5566fea1651cdea52f17971b9db80848aabf5abce31a6","observation_id":"ef467089-4913-47fe-8ab0-c36db87fa9d3","resolution":{"observed_at":"2026-08-06T21:18:06.429593Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.466080Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.466080Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:c3b65a4f014323e73fd5f7a1f80dacce207bc9423a09a5b50c5dc9d0cc8c9198","observation_id":"34fa6e0e-6913-4687-b8c0-68a80474ccef","resolution":{"observed_at":"2026-08-06T21:18:06.466080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.501717Z","title":"Bissyandé, and Yves Le Traon","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.501717Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:cc2b65210516738e4ef4909560d2a4da4b75e0e423b11338ead01ddcdf2f008a","observation_id":"bdd9c725-c620-46d1-88b2-f923d9d3fbaf","resolution":{"observed_at":"2026-08-06T21:18:06.501717Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.536500Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.536500Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:31d96165345f68d9cd1dc1cd3f5c71d999b227dcd73362b6a5f73ee671d2748c","observation_id":"4fbe3100-d0a7-45a3-9abb-bf3391878a8b","resolution":{"observed_at":"2026-08-06T21:18:06.536500Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.569709Z","title":"Dwyer, and Mary Lou Soffa","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.569709Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:1f97218ff32b97f001b11606eb86c818927018b9b447210b89ae8e5bcb727712","observation_id":"639c203c-0f03-4607-9601-7da40095f2b3","resolution":{"observed_at":"2026-08-06T21:18:06.569709Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.597526Z","title":"Dwyer, and Mary Lou Soffa","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.597526Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:6b1789deda118cae2b1ae0e3e3eb1f5038dcaa1ce1ed292fc25901d6185552f8","observation_id":"93f44689-c75b-48e5-ab80-d44af37259b9","resolution":{"observed_at":"2026-08-06T21:18:06.597526Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.633347Z","title":"Dwyer, and Mary Lou Soffa","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.633347Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:04dbfb193e462bb2b71e3a7968ec120caf07f8a22ec9d647fa330a82b6450020","observation_id":"6862ea5a-9ffe-4dd6-9f42-2d27ebbf5c03","resolution":{"observed_at":"2026-08-06T21:18:06.633347Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.668322Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.668322Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:5ccc7f62ff204f9807799773a8050161b054bb0976fc11559a417fbd454dd0a0","observation_id":"676647c6-394c-499f-98dc-09972eff724e","resolution":{"observed_at":"2026-08-06T21:18:06.668322Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.732547Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.732547Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:b5cf98289136b86d1253e5b2ed1c02b06554a3818e9d6da562734516b0b81735","observation_id":"ae5f7867-7020-4585-bda4-9b7eb9168266","resolution":{"observed_at":"2026-08-06T21:18:06.732547Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.767493Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.767493Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:5e32da8d894dcda6cfac08337e7d492857acfb1f0bf1048a7c5c6d6403188576","observation_id":"aa9d44ea-18de-4464-9921-2097792cc70e","resolution":{"observed_at":"2026-08-06T21:18:06.767493Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.794830Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.794830Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:d2ba73e8d04fddf1d81bdc4ceba8507e4968fea17dd83dca14caf46c9d94b539","observation_id":"dacef2d7-59df-4e8b-a408-e1cb5c7e66f7","resolution":{"observed_at":"2026-08-06T21:18:06.794830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1812.05339","last_updated":"2018-12-13T09:49:58Z","snapshot_observed_at":"2026-07-06T07:20:57.298937Z","submitted_at":"2018-12-13T09:49:58Z","title":"DeepCruiser: Automated Guided Testing for Stateful Deep Learning Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.05339","snapshot_observed_at":"2026-08-06T21:18:06.830800Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.830800Z"},"links":{"cited_paper":"/paper/1812.05339","citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:c34665cc89274c54518c934486671231919caf8e39c80cf1c5f5cb34b72ff89b","observation_id":"110b337b-da63-433a-9c46-7822bee0656d","resolution":{"observed_at":"2026-08-06T21:18:06.830800Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.867458Z","title":"Fahmy, Fabrizio Pastore, Lionel C","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.867458Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:d38bbccc45e7a9aadc6fe34b47ba00ce4aa7810f59eb4031118d1c9665418581","observation_id":"f718866e-de13-40c6-af5d-fa382f3fd8f0","resolution":{"observed_at":"2026-08-06T21:18:06.867458Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.902944Z","title":"Fainekos and George J","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.902944Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:66c522693e82fb98a23a06e89506038bbc471f88388d57f0982c3f4933ab63e7","observation_id":"327e76e6-7c30-4e3d-bacb-c857bac926e6","resolution":{"observed_at":"2026-08-06T21:18:06.902944Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.939328Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.939328Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:4e7bf3b417ef226c477c3422c14684eef7c024405a5f74f52f96844a9d712f31","observation_id":"881d2e5f-8db5-425b-9553-c786745548d8","resolution":{"observed_at":"2026-08-06T21:18:06.939328Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:06.975915Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:06.975915Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:c229849d92408fdb2fc70f6df404b78028ae67ffc984b51f7cfded603abcc056","observation_id":"3afcbd61-1571-45c7-93b0-faf8f877216f","resolution":{"observed_at":"2026-08-06T21:18:06.975915Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.011386Z","title":"Saha, Mukul R","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.011386Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:a2c628d8c14d0294d5525e08653f551d813ec40f99d9481f39ec43f2cb34b959","observation_id":"ea5dd378-6c0a-444b-8d87-f3cf77f2b577","resolution":{"observed_at":"2026-08-06T21:18:07.011386Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.048159Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.048159Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:1487153e2cfc4d095e3f5cc0c247428d7b0002e9be6ce76f460826ce585f7fb6","observation_id":"3b0d8599-f593-48c1-8ea4-98ab51e20aa7","resolution":{"observed_at":"2026-08-06T21:18:07.048159Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.081627Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.081627Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:69560599cbb1aec02dc316d41890be2f087293b29213ee46275b7ed3ed93b5e0","observation_id":"40c0a279-bbcd-4430-ad63-4f60dd7abc87","resolution":{"observed_at":"2026-08-06T21:18:07.081627Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.115824Z","title":"Goodfellow, Jonathon Shlens, and Christian Szegedy","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.115824Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:c5ed7457eff7fd4971b498de0c8db7a61b01e13e0de1186a2bdf82818a24f0fe","observation_id":"8c83d028-d513-4c19-8422-3f36262f6776","resolution":{"observed_at":"2026-08-06T21:18:07.115824Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.143735Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.143735Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:773493e445b63a67e690a6d6056b55819cf5a5956282661952771e61cfafd442","observation_id":"8d0c1bfb-ade6-472e-aeea-9b05744141c8","resolution":{"observed_at":"2026-08-06T21:18:07.143735Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.180701Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.180701Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:c6101628e4ac5abae1ac4d25cbcacf9725545bf2dd126d526716604c81ad0ff1","observation_id":"7b5332cc-a042-4255-a675-cff11e75f717","resolution":{"observed_at":"2026-08-06T21:18:07.180701Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.218342Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.218342Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:68017cbd10d7802593602e8a7b3b81ced361c7ccac6eb9dbf9a6720efa1e5953","observation_id":"14a084eb-74b7-478c-bc88-5170af97a89c","resolution":{"observed_at":"2026-08-06T21:18:07.218342Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.251286Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.251286Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:b4ecd21a52ee4722f1e2393608c6d815391a923012f60508489b4c55c82a43b7","observation_id":"8a02f561-0c6e-4f47-8410-f0272b47f5e9","resolution":{"observed_at":"2026-08-06T21:18:07.251286Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.279805Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.279805Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:825fe6519793fa84a83268c625b9304b5e53c893d3e831a428719cdddbcd027b","observation_id":"cd856646-e8ce-4362-aaee-755c2fba950e","resolution":{"observed_at":"2026-08-06T21:18:07.279805Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.314604Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.314604Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:018e6b60cc11e86c21daf3ecc034b086956d6df0efe0bcb6194f7cb8ae10cb75","observation_id":"9f0fc72b-de0d-48c6-949c-7dc1808d4ce2","resolution":{"observed_at":"2026-08-06T21:18:07.314604Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.350841Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.350841Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:4107545e54eb229c2aedd0e0569a6fb862ec6afaeaccc6b32d8e85916f7fdeb1","observation_id":"d1795c45-15f5-4255-a348-f9b94436bffa","resolution":{"observed_at":"2026-08-06T21:18:07.350841Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.385521Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.385521Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:a43078dd9791dd1b3ee16ce3c131ad02c14101812187f4a1624dafab30052bc1","observation_id":"a16c11cd-cf0c-4022-90d6-314cdc464ab6","resolution":{"observed_at":"2026-08-06T21:18:07.385521Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.422834Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.422834Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:79b61bcb04c8ef074ca268f38d82b209aa92b4633b701a37a9490915c4059c45","observation_id":"ba061136-18b5-48a4-9119-65d4b27bcc2a","resolution":{"observed_at":"2026-08-06T21:18:07.422834Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.459520Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.459520Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:e36b50bcd28e23c138df68a876564dfefa7170553d9081e8cb93c86638f643a2","observation_id":"f3e46396-3fec-4ace-895a-72bf71bee052","resolution":{"observed_at":"2026-08-06T21:18:07.459520Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.496297Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.496297Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:ec666e69579e267b22f7a770b7e49a57e3b12fd4b46b9af6fbdbf7ce3034c576","observation_id":"16e2ca17-94bb-4f9e-8291-13c4bf340561","resolution":{"observed_at":"2026-08-06T21:18:07.496297Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.532471Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.532471Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:ed257df20d350462ae4d2495b9d74e60ef56f638dd2a01277396dc87ed2fcd32","observation_id":"9d13aba9-dc91-459f-9892-8e4a7d63bbaa","resolution":{"observed_at":"2026-08-06T21:18:07.532471Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.538940Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.538940Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:a59460f38f8ff8266fc3a08b4659d948ad38f34bf7e97d95449e1a1665fbf006","observation_id":"ccc584f3-5945-4812-a375-1ea452f9fc87","resolution":{"observed_at":"2026-08-06T21:18:07.538940Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.563028Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.563028Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:25682a4440654c0c67e8686750b70905926067662a1d01436573cf3d9a19c5d8","observation_id":"e4c1059e-7551-4820-8d6d-3a4fe36885fc","resolution":{"observed_at":"2026-08-06T21:18:07.563028Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.581056Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.581056Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:8de0e5e50c0fbd480adcf55108e846c890a0f08b172af57d290720042664d088","observation_id":"ae4de272-e4f1-4991-8ba2-9077daf056bf","resolution":{"observed_at":"2026-08-06T21:18:07.581056Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.606441Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.606441Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:f8274074a3a2ae6a5a52a677ea5d436093ed49a65395829b4aada7ff79ea7f0d","observation_id":"dddc6e8b-1b8e-475f-b4f9-4044a9af1f22","resolution":{"observed_at":"2026-08-06T21:18:07.606441Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.622019Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.622019Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:c1fb318fb033d033007649373f50cb6d50465edae86ffcc07240892f6e20430d","observation_id":"5c6e9153-0070-40a6-96fa-45e7dd8761ca","resolution":{"observed_at":"2026-08-06T21:18:07.622019Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.644937Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.644937Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:81835729509c0639ee8ec7e921faf4d96f224cf01324e066d050fec58841073f","observation_id":"084dbad7-372a-4748-8d6d-c6bcc5574e2a","resolution":{"observed_at":"2026-08-06T21:18:07.644937Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.679774Z","title":"Belongie, and Jan Kautz","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.679774Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:9b32db0e41e2083455435acc63f419f725917cc4df693c726e76e4bfd5a3be48","observation_id":"e78fdf57-ce32-4845-9ccc-16f62260f1c7","resolution":{"observed_at":"2026-08-06T21:18:07.679774Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.715822Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.715822Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:6258389b96ee0d10cacfef75d53513cb38e4bfb9f2190eb600327a8295be2a83","observation_id":"85aa666b-4f85-4d80-874e-e8e850104aed","resolution":{"observed_at":"2026-08-06T21:18:07.715822Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.752116Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.752116Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:de3030aa3083cc9b9c037adada9e96d390614952d902790f08cec42625348dd7","observation_id":"60fa3658-a1ad-4d92-835b-c8e55e7a4a45","resolution":{"observed_at":"2026-08-06T21:18:07.752116Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.796573Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.796573Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:aef4229e98524367e679488cf3440e5268e7143f3aa378fab6718daa2cfdfadd","observation_id":"98dbebc7-9c2a-4dec-8a76-0cedff96a985","resolution":{"observed_at":"2026-08-06T21:18:07.796573Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.866617Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.866617Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:3e6540e8f84dd366cf73974ca7cd80f0c0d611721016f1874ddee9e3f135405d","observation_id":"8afacabd-4620-4461-801d-e5a64f52e391","resolution":{"observed_at":"2026-08-06T21:18:07.866617Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.916950Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.916950Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:a17f3c75b5656b7fd5964d03b3761a5ac0649d1b931730ac73694a8aee6a665a","observation_id":"4273999b-4182-403e-9cc8-89e95726e7cb","resolution":{"observed_at":"2026-08-06T21:18:07.916950Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:07.966030Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:07.966030Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:8dee3be944274d18cd6ff2f4aba92cb54641df53ddc8b3ac80114b79b4bb9e61","observation_id":"674cf70f-9689-40ab-a3cb-428176fa0c5f","resolution":{"observed_at":"2026-08-06T21:18:07.966030Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.018332Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.018332Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:8d7dcfa9a9d99409261638cf409ce6980befde463ddca9c9f91f13a61b702dd0","observation_id":"9868c1d0-7b24-410e-bd78-fe6f29dcd8ac","resolution":{"observed_at":"2026-08-06T21:18:08.018332Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.070558Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.070558Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:69d6f4efc3d96c9dea6997dae1ed01929d03b1926577a642b11d7f0b22f06412","observation_id":"791936bf-3e16-49e3-86cb-43d4a707e3d6","resolution":{"observed_at":"2026-08-06T21:18:08.070558Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.104409Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.104409Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:910afc4f3629b314046a078d81efc36bb29e0440c9cb59476682ca5ac4f44f61","observation_id":"308ab528-0ff2-4b5d-9357-db831b276a18","resolution":{"observed_at":"2026-08-06T21:18:08.104409Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.169536Z","title":"Richard Kuhn, Itzel Dominguez Mendoza, Raghu Kacker, and Yu Lei","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.169536Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:53d4ea23b8e5a14f67aaf499a29ba9c2bda6da1456bed44f3ca17ac73149d7ce","observation_id":"9fc364f0-25fb-4003-b30b-28645ff6d543","resolution":{"observed_at":"2026-08-06T21:18:08.169536Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.228065Z","title":"Goodfellow, and Samy Bengio","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.228065Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:fa8a70a68ef3fd6700ee515bce5db87559fad9ef032d914ae4f03c070d060460","observation_id":"9bf8f829-5d6f-46ce-aa2a-2110cea3ef49","resolution":{"observed_at":"2026-08-06T21:18:08.228065Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.254229Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.254229Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:1841a13fc0351832410a1bf8644ae401cb1e356b215c908ef8a5b87b2b061ce7","observation_id":"763a0eed-7379-474c-9894-d0f749785a32","resolution":{"observed_at":"2026-08-06T21:18:08.254229Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.278427Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.278427Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:8db5fb12503a753ef27fc793078e14d668eea73a706a40e02e4028ffd428a24f","observation_id":"00de5ddc-d613-430d-a4a1-cf5607feba98","resolution":{"observed_at":"2026-08-06T21:18:08.278427Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.283760Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.283760Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:61571664af3f1c77ef14b22ee915dc577a9d8ca76002ca6a707baf5c0a70d160","observation_id":"f464bb11-62bc-45db-9b55-50fbeb9fec9b","resolution":{"observed_at":"2026-08-06T21:18:08.283760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.288535Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.288535Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:56168016fd858337a2c3e0e426e8e1417dfd2ee48716daad43978e11fab92275","observation_id":"81f47ba2-bb1d-41d0-ab4e-6e33b6c6a460","resolution":{"observed_at":"2026-08-06T21:18:08.288535Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.294481Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.294481Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:bc2bfa66dfdbae61b0749508dd16c9aeae79b97a5b14f14dfd71101170df0777","observation_id":"f48df6ce-56e4-470a-a30d-206d9b2ee2d9","resolution":{"observed_at":"2026-08-06T21:18:08.294481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.300189Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.300189Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:b1fdd3aaaa0d3e66048c8c0da4dbbb952abe899ce7bf650d7328a96f00cb2c28","observation_id":"5e7bbce6-54ac-4f91-85e5-ceaad7fb5656","resolution":{"observed_at":"2026-08-06T21:18:08.300189Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.306631Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.306631Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:f82cfe70553a153e3f0c4f5f0d9ec123110264715ba57d3c6abcb4c544f5c974","observation_id":"a0acc7c9-b947-4e0e-8b80-6a5c2f683707","resolution":{"observed_at":"2026-08-06T21:18:08.306631Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.312110Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.312110Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:512c25703ff08f92467f138fd1025d754b61335d379eed7a767b48bd94b5f303","observation_id":"dadd9f3e-1450-4f0f-acf7-5dce36da68b8","resolution":{"observed_at":"2026-08-06T21:18:08.312110Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.317087Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.317087Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:8e1b1fbc470eed2c17069b93d8aeb87ea306a8577c7f026b4ffc69e3dd6eb416","observation_id":"16434179-ff76-4bdd-9c64-c2cbdcc4a9c5","resolution":{"observed_at":"2026-08-06T21:18:08.317087Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.322662Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.322662Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:c830b942dc4aecd12fbe3c8cbaaae8815ae16030c8764b1c7e6cdafb4227d95c","observation_id":"8e55caa7-8a65-48f4-8370-c0f6bfcdc53e","resolution":{"observed_at":"2026-08-06T21:18:08.322662Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.327276Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.327276Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:cf7aa25adf4e7ec953db93ef921864882f1f76ef197b4ef23d5a4cf5d7a7093f","observation_id":"fd019d77-656d-4de8-9808-181c4a654e63","resolution":{"observed_at":"2026-08-06T21:18:08.327276Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.332246Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.332246Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:c2cebe5d364ff17f8e476e123e809784bf3b3486992a15562ac685378662b599","observation_id":"c35b71a4-5488-44ec-baf2-fc03965db01f","resolution":{"observed_at":"2026-08-06T21:18:08.332246Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.336887Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.336887Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:dcfcead727f97f370ea4f454d770b2da3a0f7c709e5a73ca6aef1588ee8b352a","observation_id":"2bc994d6-e044-4607-b175-1d167c142361","resolution":{"observed_at":"2026-08-06T21:18:08.336887Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.341964Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.341964Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:b06f55a43fd5174e78e6ac550de54c1b07fec6be78dfea6784fa51012de19fce","observation_id":"1da0d14f-a1c3-453a-88c0-60f0bb0e9596","resolution":{"observed_at":"2026-08-06T21:18:08.341964Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.347159Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.347159Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:e3d5dd1f14469166b8e4563d0a2f15cb3b41c633ec22cfc627dd58cb09d9fcaa","observation_id":"d6f26303-55b1-4d36-8495-43e02aaf2b67","resolution":{"observed_at":"2026-08-06T21:18:08.347159Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.352426Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.352426Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:4d10c147e6bb3a2986e8f36d9e58bed42b41cba26e6135ad468b218dbe0cc47f","observation_id":"c1061408-8fb4-4cd3-b5fc-ae2876d5d2fa","resolution":{"observed_at":"2026-08-06T21:18:08.352426Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.07309","last_updated":"2019-11-17T18:07:07Z","snapshot_observed_at":"2026-07-06T08:37:40.581159Z","submitted_at":"2019-11-17T18:07:07Z","title":"Coverage Testing of Deep Learning Models using Dataset Characterization","version":1},"cited_work":{"arxiv_id":"1911.07309","doi":null,"metadata_source":"pith","pith_arxiv_id":"1911.07309","snapshot_observed_at":"2026-08-06T21:18:12.532816Z","title":"Coverage Testing of Deep Learning Models using Dataset Characterization","venue":"cs.LG","work_id":"f0b41a12-5e23-49f6-8f22-4f01b24cdd7c","year":2019},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.357535Z"},"links":{"cited_paper":"/paper/1911.07309","citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:e08db528d4e6bd6249797015132d7bc13e96823c5f03421d1103cc22960c5c74","observation_id":"b77262d7-9f4e-41e8-9de7-c6ee988b2a78","resolution":{"observed_at":"2026-08-06T21:18:12.612455Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.363525Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.363525Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:fd2344e258d2bea8e309d07eb193339ae5bd20844eb9616269bc8f9f05f85ad3","observation_id":"b316ab6d-ebcf-4364-846d-58fbad695904","resolution":{"observed_at":"2026-08-06T21:18:08.363525Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.368908Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.368908Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:02207f23f7dd24dcefc01e310e570637c85a82860216ecac8ea5d099bc80b5c4","observation_id":"d0b80148-01d7-4bc3-b2cd-659da21d2ae7","resolution":{"observed_at":"2026-08-06T21:18:08.368908Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.374330Z","title":"de Albuquerque","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.374330Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:91196283de1e9404cf43a6d2366b04e5cc18a13ed8786ca7c760eb95ef8f870f","observation_id":"1d6f90ae-19c2-4b35-adeb-6d1aa8ecd573","resolution":{"observed_at":"2026-08-06T21:18:08.374330Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.380411Z","title":"Briand, and Yvan Labiche","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.380411Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:c4c8061e354d2b81a2311b6d896f54cf571ac13015decd96ea6f6c2807cbd26f","observation_id":"f72b8273-03dc-4b9e-92c2-5464f24f0e36","resolution":{"observed_at":"2026-08-06T21:18:08.380411Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.385366Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.385366Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:7e55ee33fcf4398d263ed77597a197b4d5753cd51a30e457012fa0599dd4edc1","observation_id":"621a8841-a138-48fb-85bf-c0ab24a438cf","resolution":{"observed_at":"2026-08-06T21:18:08.385366Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.389904Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.389904Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:a7af619c0ec376329ae0fbb32fea45438f9d6b11f6e9746e7d09e143bba3c2ea","observation_id":"4ef90e22-3fb7-469f-abf0-91b89e57f035","resolution":{"observed_at":"2026-08-06T21:18:08.389904Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.394286Z","title":"Andersen, and Ian J","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.394286Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:a07e508497aa686e9716a56de98f110169501f774b04910108ffc64a025382d3","observation_id":"de93f36a-f284-42f8-b420-aab8b0094134","resolution":{"observed_at":"2026-08-06T21:18:08.394286Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.399367Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.399367Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:f9ded06e7c1093dee01f495a507a71c79414905d3e14c26552d8354e063a7788","observation_id":"bf6661c8-926b-453b-a288-ad40fec5e87c","resolution":{"observed_at":"2026-08-06T21:18:08.399367Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.404377Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.404377Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:473d455b165bb64a9db37a7a582a88dc0b966f3c6576bb5e2cdbcc5bb7380b8c","observation_id":"436445cb-43e5-4388-95d2-c2f692abf167","resolution":{"observed_at":"2026-08-06T21:18:08.404377Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.410587Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.410587Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:5642f6b09a8204625f4aeca1e3fcfcafbc3f2ae90b62441c83d2d21cc7b5367b","observation_id":"82f08a64-72fa-40b3-9252-11c9c74a0d83","resolution":{"observed_at":"2026-08-06T21:18:08.410587Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.415946Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.415946Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:a15708493dac919961467607860c9e4ef6c7f112b6d502b6a22d16b242288862","observation_id":"dac54e96-b28c-4860-9812-9791a22aedf7","resolution":{"observed_at":"2026-08-06T21:18:08.415946Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.421509Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.421509Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:210aa3a12414f9fe0367a1f84cc5eeda7081c9b78835653f74ec32ae745016a1","observation_id":"e63c1a37-c09c-4168-9aef-4af04d1cac82","resolution":{"observed_at":"2026-08-06T21:18:08.421509Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:08.426877Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.426877Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:4f07c1e1672f958449ae3a0ce93a55fadec50875eb2018d98d097620baa01426","observation_id":"ea075619-38bd-4aac-98d8-b3a0972cdf75","resolution":{"observed_at":"2026-08-06T21:18:08.426877Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:18:25.099160Z","title":null,"venue":null,"work_id":"0f2eddbc-74ed-4194-a5ac-1fe7bcb4663f","year":2014},"citing_paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:08.432077Z"},"links":{"citing_paper":"/paper/2507.00496"},"observation_digest":"sha256:c86aa3da891bbb8f48983ac62a6c1ceabc4a944cb53a9237532ca8dcded7e219","observation_id":"04199f08-0fdf-4d90-924f-cf0f4290262c","resolution":{"observed_at":"2026-08-06T21:18:25.143218Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.00496","last_updated":"2025-07-01T07:12:58Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-08T02:28:53.654750Z","submitted_at":"2025-07-01T07:12:58Z","title":"Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":99,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":177},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 100 of 177 outbound references and 0 inbound Pith citation observations for arXiv:2507.00496."}