{"as_of":"2026-08-13T09:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bfab652d3984b70cffc73db3d55c7778c29c2cc8b3c6d04fcbc75cdd31c2df35","coverage":[{"denominator":31,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T05:05:10.639556Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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/2501.17028/citation-record","integrity":"/paper/2501.17028/integrity","json":"/paper/2501.17028/citation-record.json","paper":"/paper/2501.17028"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:05:10.999306Z","title":"DO-178C: Software Considerations in Airborne Systems and Equipment Certification,","venue":null,"work_id":"a405d1cc-6b4a-47a4-ac69-f4e5103647ce","year":null},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.537324Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:a214a1f7e25e2d5e7211b091674653fc1e73d19bb31b0f79f1a8d1b845f60f04","observation_id":"54e63e61-3412-465a-8167-ae628d4356f0","resolution":{"observed_at":"2026-08-10T05:05:11.003264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:05:10.988927Z","title":"How to certify machine learning based safety-critical systems? a systematic literature review,","venue":null,"work_id":"bf557eed-2ffc-4fa4-8263-776942c4f619","year":2022},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.541106Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:b419b2ab6ddccc12d9661628f81d9f2d63361d5ccaf31690ed7b15adf9cd66f8","observation_id":"2d1c5df3-6f49-4e30-9c7d-95ea4f64f92f","resolution":{"observed_at":"2026-08-10T05:05:10.992883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:05:10.979425Z","title":"Identifying challenges to the certification of machine learning for safety critical systems,","venue":null,"work_id":"36e77b96-5e6d-4aa2-b848-a2e8f5603c7a","year":2020},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.544777Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:c2516d7c3f6969ba4c2e70eac3cfcf7bd60cd96e4a92331b0a55f473db14dae0","observation_id":"5960b435-50a6-41cb-87a0-bc607e6324a6","resolution":{"observed_at":"2026-08-10T05:05:10.982701Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:05:10.970085Z","title":"Continuous validation for data analytics systems,","venue":null,"work_id":"7eee9678-ac0d-428d-8a87-309fb9ab484a","year":2016},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.548762Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:f62a523a306fd03a4a1449bf8b4d9a0c683d45a009a4e067876a1358947db734","observation_id":"58df2a76-5ac0-44e6-b443-6e619ea4b7f9","resolution":{"observed_at":"2026-08-10T05:05:10.973389Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:05:10.959741Z","title":"Data integrity challenges and solutions in machine learning- driven clinical trials,","venue":null,"work_id":"277c18f2-ebc9-4972-9f1b-8f1f7c36e08b","year":2023},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.551981Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:7ed5af444b6a8c475e98003af3b3e1322fe64ecbb9c4b559b2f7f4fb785f615f","observation_id":"e1a84c15-3c48-43fd-90e8-0a57a08abff8","resolution":{"observed_at":"2026-08-10T05:05:10.963423Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:05:10.950169Z","title":"Tensorflow data validation: Data analysis and validation in continuous ml pipelines,","venue":null,"work_id":"ef660c87-5e13-437e-9244-4ec704c3fbc0","year":2020},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.555662Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:7c7a717747ab1175b11441fe568259769a9e53e666e68f30ca1ff45537844b4d","observation_id":"85377002-468b-49ea-9453-8ff9a03e2995","resolution":{"observed_at":"2026-08-10T05:05:10.953623Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:05:10.941007Z","title":"Engineering ai systems: A research agenda,","venue":null,"work_id":"dd3b26f3-103c-4074-aa6c-b2da9a9dd6dd","year":2021},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.559517Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:f0bb53a76817a2c248f606050993f068279f0c0fe24c355dfab55af6f017181d","observation_id":"3854837a-c987-49e9-b375-9687b2234874","resolution":{"observed_at":"2026-08-10T05:05:10.944151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:05:10.931495Z","title":"Aleatoric and epistemic uncertainty in machine learning: An introduction to concepts and methods,","venue":null,"work_id":"27dd4453-b47f-41ff-91a1-5a86e0ccadc9","year":2021},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.563445Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:d3b620e0e8229371f9e168889d19ad5cb35b3b3f75831c41db76a12da419413d","observation_id":"b7163107-dfb2-4ddd-a0c0-641d43269c84","resolution":{"observed_at":"2026-08-10T05:05:10.934837Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:05:10.921325Z","title":"Easa artificial intelligence (ai) concept paper issue 2: Guidance for level 1&2 machine learning applications,","venue":null,"work_id":"7f894d29-c68f-4979-94b7-e0f31070d991","year":2024},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.566904Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:2c4d720e5c9acb0e16bc60519aec99eacbe45bf6a118a9d3552ef967eaeaec23","observation_id":"d113efb1-e554-426a-bf76-dc26ef6c94a6","resolution":{"observed_at":"2026-08-10T05:05:10.925423Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:05:10.910831Z","title":"Toward certification of machine-learning systems for low criticality airborne applications,","venue":null,"work_id":"60135d04-e7a4-47fd-8f4e-2d838ee5661e","year":2021},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.570527Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:ca7c44a1a788556b051e67d280cf2bf3613e99da50febd980ed26f0514bfcff0","observation_id":"eccc371a-2208-480d-8cae-06b75459488b","resolution":{"observed_at":"2026-08-10T05:05:10.914503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:05:10.899757Z","title":"Jocher et al., “Yolov8.” https://github.com/ultralytics/ultralytics, 2023","venue":null,"work_id":"860f1f7e-9400-4321-8c09-551e18fb5ecd","year":2023},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.574242Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:30a0c58868f0d5f1908894d3af3a0369a55ea04d0b66a68cd9fbe39c035256e4","observation_id":"72197d0b-2f82-4e2a-9e4e-ed4a2ba0e435","resolution":{"observed_at":"2026-08-10T05:05:10.903522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:05:10.889274Z","title":"Hidden technical debt in machine learning systems,","venue":null,"work_id":"a40a0614-d4e5-4328-81d4-7572dbcca199","year":2015},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.577743Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:d9ad12cc4ec282e2c9e23151d0d1e9c4fabd8214b0122edf5efbe1978aeb2eaa","observation_id":"5c961eb0-c276-4640-baae-00c5599f844d","resolution":{"observed_at":"2026-08-10T05:05:10.893093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:05:10.877722Z","title":"Artificial intelligence for safety-critical systems in industrial and transportation domains: A survey,","venue":null,"work_id":"9cee1322-003d-4886-b6af-608784e84767","year":2024},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.581346Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:c720fc1442ef681df876651d991c8f8848618fd81f638f87680d4e35a604b18e","observation_id":"49d533fb-ad0b-4bbe-bc27-d622aef68116","resolution":{"observed_at":"2026-08-10T05:05:10.882267Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:05:10.867151Z","title":"Correctness verification of neural networks,","venue":null,"work_id":"33251a02-2cde-4afe-a7d2-0b5284bc00fb","year":2022},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.584725Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:6d62a46c14d18e33e94c3535e433b36efe97b0dd058539015906166fe7faefe6","observation_id":"d002b1ce-767e-47b1-b813-d6fd96b683d3","resolution":{"observed_at":"2026-08-10T05:05:10.870984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:05:10.856559Z","title":"Deepxplore: Automated whitebox testing of deep learning systems,","venue":null,"work_id":"37f5f1be-44d6-464a-b3aa-be1b2172dce4","year":2017},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.588194Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:4321c6423287900d7af2f37f4f0e2504774eb751d9a6f1cb4a7d95edbdb8871b","observation_id":"d364a826-d548-4f6e-ad18-4e36c6dc2df4","resolution":{"observed_at":"2026-08-10T05:05:10.860350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:05:10.845610Z","title":"Deeptest: Automated testing of deep-neural-network-driven autonomous cars,","venue":null,"work_id":"b3155c9c-abf1-499d-908e-bff1a67806fc","year":2018},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.591679Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:e73c1d8121ac4e7bc249ca12cf8142e7fae8a75892a6540f0691942c213c8a0d","observation_id":"41dab6aa-30fd-40ce-a2f4-208f66c04124","resolution":{"observed_at":"2026-08-10T05:05:10.849366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:05:10.835542Z","title":"The ml test score: A rubric for ml production readiness and technical debt reduction,","venue":null,"work_id":"80134649-9b01-481c-9133-ade1da2737f7","year":2017},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.595016Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:92f5ac962a88523228e3d6ce85b10897145cdd252073f8b46776781d67648d4b","observation_id":"0ae92cc8-6597-4c0d-9825-e8be4ef3e154","resolution":{"observed_at":"2026-08-10T05:05:10.838791Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:05:10.825456Z","title":"Ai/ml for safety-critical software: the case of the space domain,","venue":null,"work_id":"bbb4f70e-abb6-4179-ae72-3eb51dd27a30","year":2024},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.598431Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:0fdb9a7363590ea6a9e7f58a4fbdbfc20ea2aaf152a891de575a2689467ae15f","observation_id":"e695d9a8-ec0b-44fd-8fbf-30ae4e6a10b6","resolution":{"observed_at":"2026-08-10T05:05:10.829021Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:05:10.814784Z","title":"Tool qualification aspects in ml-based airborne systems development,","venue":null,"work_id":"a3a21deb-91ec-4cd7-ab7f-35ee172cec01","year":2023},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.601302Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:19c70eaec0850230671fe25ad5eecded2e26186a8bcc26d6dd7089ab32f39b1c","observation_id":"42ee9a19-3089-433b-8f1e-f9e9531cc058","resolution":{"observed_at":"2026-08-10T05:05:10.818589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:05:10.804734Z","title":"DO-330: Software Tool Qualification Considerations,","venue":null,"work_id":"dbbeb8b7-31c6-41a1-b978-558430af998a","year":2011},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.604139Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:5cab2828cb1bb8f846596ec148e58d8f5b791ee826d622694df4ac954704ff9c","observation_id":"c510487b-0c6f-425f-9148-50c580c1e61a","resolution":{"observed_at":"2026-08-10T05:05:10.808122Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:05:10.794484Z","title":"DO-200B: Standards for Processing Aeronautical Data,","venue":null,"work_id":"715b5e4d-5dac-4ba5-a2af-1c9352cd10b2","year":2015},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.607308Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:fb26a440de55d178ef1a7bfdfbc94dc124367ca3e56375f4e464dabe99396d39","observation_id":"5afa8b65-c703-4c9b-a618-8b7266b5ec09","resolution":{"observed_at":"2026-08-10T05:05:10.798075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.10529","last_updated":"2021-03-18T21:14:30Z","snapshot_observed_at":"2026-07-06T10:51:19.591143Z","submitted_at":"2021-03-18T21:14:30Z","title":"White Paper Machine Learning in Certified Systems","version":1},"cited_work":{"arxiv_id":"2103.10529","doi":null,"metadata_source":"pith","pith_arxiv_id":"2103.10529","snapshot_observed_at":"2026-08-10T05:05:10.726015Z","title":"White Paper Machine Learning in Certified Systems","venue":"cs.AI","work_id":"ccbc8414-65f3-4930-ae5f-5cecd9acecd1","year":2021},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.610321Z"},"links":{"cited_paper":"/paper/2103.10529","citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:725701a3072d912f2ae852fbd78bfd6062b98ff87d1b64a2f4373ea9a13ebdd7","observation_id":"f0c3a9c1-0605-45af-b0ba-576124c3119c","resolution":{"observed_at":"2026-08-10T05:05:10.730029Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.08666","last_updated":"2024-09-13T09:27:59Z","snapshot_observed_at":"2026-08-13T01:57:05.217573Z","submitted_at":"2024-09-13T09:27:59Z","title":"Towards certifiable AI in aviation: landscape, challenges, and opportunities","version":1},"cited_work":{"arxiv_id":"2409.08666","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.08666","snapshot_observed_at":"2026-08-10T05:05:10.710506Z","title":"Towards certifiable AI in aviation: landscape, challenges, and opportunities","venue":"cs.LG","work_id":"5d3cf93c-bacb-4eac-8b90-3a94aa9a77ef","year":2024},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.613761Z"},"links":{"cited_paper":"/paper/2409.08666","citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:845da2cec488f2c10162c8a56de23660f0e3f263766080c9647d07be9ae5503a","observation_id":"9332e02a-ad54-421c-bca7-906912be2e22","resolution":{"observed_at":"2026-08-10T05:05:10.714809Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.11049","last_updated":"2023-02-21T23:08:37Z","snapshot_observed_at":"2026-08-04T22:46:29.638719Z","submitted_at":"2023-02-21T23:08:37Z","title":"Framework for Certification of AI-Based Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.11049","snapshot_observed_at":"2026-08-10T05:05:10.617192Z","title":"Framework for certification of ai-based systems,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.617192Z"},"links":{"cited_paper":"/paper/2302.11049","citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:38970ee5584d6b5e07b896eca9a95896cd7801bd049c20a91282509813cee1b8","observation_id":"08ad16a8-4f7c-446d-9949-6b0f6dc417f9","resolution":{"observed_at":"2026-08-10T05:05:10.617192Z","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":"2026-08-10T05:05:10.784280Z","title":"Rierson, Developing safety-critical software: a practical guide for aviation software and DO-178C compliance","venue":null,"work_id":"d6da3b1a-0ac1-47b4-bee5-4915bf944b2f","year":2017},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.620586Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:69f596c6e2c59ce83e5d4ba6a3e9f82eb04d74d18c98f5f45401c75ddae85f3b","observation_id":"640bbefb-f7e6-4024-9485-3157a6261c62","resolution":{"observed_at":"2026-08-10T05:05:10.787767Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.16633","last_updated":"2024-01-30T00:06:16Z","snapshot_observed_at":"2026-08-13T04:32:13.219248Z","submitted_at":"2024-01-30T00:06:16Z","title":"I came, I saw, I certified: some perspectives on the safety assurance of cyber-physical systems","version":1},"cited_work":{"arxiv_id":"2401.16633","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.16633","snapshot_observed_at":"2026-08-10T05:05:10.681733Z","title":"I came, I saw, I certified: some perspectives on the safety assurance of cyber-physical systems","venue":"cs.SE","work_id":"4eeebf23-3bfb-4220-84a7-5128e52e497d","year":2024},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.623605Z"},"links":{"cited_paper":"/paper/2401.16633","citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:342c12c2fffdc092cf67a3ee3d1cbd7bed392fd963297ff2e99a6adce86f8db8","observation_id":"eded3b07-d411-4fab-a024-57f41ea1a25b","resolution":{"observed_at":"2026-08-10T05:05:10.687945Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06800","last_updated":"2023-10-10T17:11:14Z","snapshot_observed_at":"2026-08-13T05:52:50.430311Z","submitted_at":"2023-10-10T17:11:14Z","title":"Test & Evaluation Best Practices for Machine Learning-Enabled Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06800","snapshot_observed_at":"2026-08-10T05:05:10.626842Z","title":"Test & evaluation best practices for machine learning-enabled systems,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.626842Z"},"links":{"cited_paper":"/paper/2310.06800","citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:7ac6511f8dbaed33180e273203fa849564da6cf29eb6b76827f7ccdba8a98d54","observation_id":"292c08e0-3774-4f84-9342-1ed0b50cbde4","resolution":{"observed_at":"2026-08-10T05:05:10.626842Z","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":"2026-08-10T05:05:10.773627Z","title":"Rethinking certification for trustworthy machine learning-based applications,","venue":null,"work_id":"39d28327-3af5-44d5-abf4-2a758c380c46","year":2023},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.630139Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:705a8e19d8c7d6fe658c14ca483cacc027f53b88de7ef1b06f22829a2612dbb6","observation_id":"08bbabe6-3aa3-4950-8aef-27b405a6fb29","resolution":{"observed_at":"2026-08-10T05:05:10.777335Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:05:10.761684Z","title":"Application and certification challenges for ai/ml techniques in safety critical avionics systems,","venue":null,"work_id":"5247383e-14f5-41a1-adf0-905dafa7c238","year":2022},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.633237Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:fc0b186b62005743ed8a87e78b211b4b88266cc2242f68634de656044dbf833e","observation_id":"a88823be-0530-45be-995b-c866d8c855b0","resolution":{"observed_at":"2026-08-10T05:05:10.765758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:05:10.749793Z","title":"Military vehicles object detection dataset","venue":null,"work_id":"51280300-305d-4df1-aa1c-e99323f3d9bf","year":2023},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.636022Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:f3207676d7aefd61266dd5eab00b0fa706a93bdbcb2bdbade998c97d54b11d82","observation_id":"bfaf7681-ab64-4c43-a0db-54f0481403ee","resolution":{"observed_at":"2026-08-10T05:05:10.753788Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:05:10.737871Z","title":"Deepchecks: A library for testing and validating machine learning models and data,","venue":null,"work_id":"cd7c95c8-8604-415d-acef-1b6b6e8f623d","year":2022},"citing_paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T05:05:10.639556Z"},"links":{"citing_paper":"/paper/2501.17028"},"observation_digest":"sha256:54679c5cbc5f994f77059115248dd3b80850abe69ff0b7efdc5f8f6bac76944a","observation_id":"2b6f7319-f45e-431b-94de-9879f719fa63","resolution":{"observed_at":"2026-08-10T05:05:10.742137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.17028","last_updated":"2025-01-28T15:49:51Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-13T04:10:53.301057Z","submitted_at":"2025-01-28T15:49:51Z","title":"Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications"},"reference_resolution":{"displayed":31,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":3,"verified_fuzzy":26},"total_outbound_references":31},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2501.17028."}