{"as_of":"2026-08-08T08:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:79efa510cdde1eb0edb465f18b43e4c70e93bea03a72e884e66415e99fddc9f0","coverage":[{"denominator":52,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":52,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:19:20.651322Z","state":"measured"},{"denominator":53,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":53,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T16:57:06.181050Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T07:50:58.845346Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"cited_work":{"arxiv_id":"2506.14813","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.14813","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"66fa862c-1521-4fda-a548-5bd376aa5f9f","year":2025},"citing_paper":{"arxiv_id":"2604.08720","last_updated":"2026-04-09T19:13:15Z","snapshot_observed_at":"2026-07-06T22:57:45.084987Z","submitted_at":"2026-04-09T19:13:15Z","title":"Demystifying the Silence of Correctness Bugs in PyTorch Compiler","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-10T16:57:06.181050Z"},"links":{"cited_paper":"/paper/2506.14813","citing_paper":"/paper/2604.08720"},"observation_digest":"sha256:7526e025bd3e12f65acd2097955f48556c974945cfe49d114b9945d8dc97879e","observation_id":"c470cfbb-88e0-4246-9273-ecf72f2d3f32","resolution":{"observed_at":"2026-05-11T07:50:58.852348Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.14813/citation-record","integrity":"/paper/2506.14813/integrity","json":"/paper/2506.14813/citation-record.json","paper":"/paper/2506.14813"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:19:31.249541Z","title":"TensorFlow: a system for large-scale machine learning","venue":null,"work_id":"62fbce16-4efa-4f03-b0e8-f1a01f51c38c","year":2016},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:14.838427Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:fe9aa91cf63c98fc5c0196f4722f4631503cdc1b1a4df20e54eb00a8c50966f8","observation_id":"979f9707-4cdf-44c8-b3eb-a6b09f56a574","resolution":{"observed_at":"2026-08-07T10:19:31.341625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:31.114883Z","title":"PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compila- tion","venue":null,"work_id":"969f5c7f-b41c-41a2-93f9-33699ffefa53","year":2024},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:15.045552Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:fba12b82dcb48a600d179958c5cd4d1dba60bf34cdc073d10701caf5c988fa50","observation_id":"73729f84-52e1-4e76-9721-4de0387e3cc9","resolution":{"observed_at":"2026-08-07T10:19:31.163781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:30.923699Z","title":"Varuna: scal- able, low-cost training of massive deep learning models","venue":null,"work_id":"79567de4-e791-4afc-bc8f-a06831cec6c6","year":2022},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:15.226716Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:9d11763becdd04f8370ab3f030a6a60056b328022151f6d67a9639a580c7a1ec","observation_id":"1bf5227e-0bd2-4da0-9266-baffe2eebc4b","resolution":{"observed_at":"2026-08-07T10:19:30.996326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:30.796189Z","title":"BLOOM: Megatron-DeepSpeed","venue":null,"work_id":"ea42c237-9b39-4f47-9828-6215a46d7f39","year":2022},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:15.373695Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:182df7222e6ebc4765b83ba37c61ee038685a67bfe191b933ccd3a69373ea9a3","observation_id":"c2308598-d1ef-433a-bfe5-40f593875b45","resolution":{"observed_at":"2026-08-07T10:19:30.889318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:30.532473Z","title":"Weights and Biases","venue":null,"work_id":"c92fb509-4ba8-46ad-848d-1991667413d6","year":2020},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:15.573702Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:3681e4568718feb73a87621857ae4c6ecb3edfa554347b761a15efaf429522e3","observation_id":"fa907dac-774e-4476-90ef-9dee037e9305","resolution":{"observed_at":"2026-08-07T10:19:30.638943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:30.336680Z","title":"Chronicles of Big- Science TR11-176B-ML Training","venue":null,"work_id":"3e009a53-1e0c-4904-bfcc-acf8aababb37","year":2022},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:15.782110Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:b506e6f8f37c582f3cdabfaedaf9ef8fa0810518afb20dc23002a05894bfb27a","observation_id":"a0468e63-b964-47a9-9b7c-8a9d62038d73","resolution":{"observed_at":"2026-08-07T10:19:30.410007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:30.152340Z","title":"Dropout with Theano","venue":null,"work_id":"22af822d-5543-4fa5-9856-e12fae15d309","year":2016},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:15.932434Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:46f09f4f42f29a2f3f3ca8bb4710dbb70492f5812a1a2187a836a316b980dd07","observation_id":"025bbd04-2ceb-408d-9955-c4b6fe256fed","resolution":{"observed_at":"2026-08-07T10:19:30.245568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:30.018604Z","title":"Hudson, Ehsan Adeli, and et al","venue":null,"work_id":"c9ea6618-f2ab-4546-b918-e97d97c49857","year":2022},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:16.101848Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:29b3ae7294cedb2cdba2a5afbce638c6e9486ae36b157b30c3b58b12360c1a82","observation_id":"365cc550-b821-406e-8972-3dfc4409a821","resolution":{"observed_at":"2026-08-07T10:19:30.066063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:29.915658Z","title":"Toward understanding deep learning framework bugs.ACM Trans","venue":null,"work_id":"30c55e5f-5351-4d65-addf-ec38e78c6c6c","year":2023},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:16.240629Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:ce2dad18e0724364991b8a675001c9d723adcfb6d6428576ad82aba652ca3d96","observation_id":"a1954582-eda7-4cab-9a26-2de9f5b64f50","resolution":{"observed_at":"2026-08-07T10:19:29.954007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:29.816850Z","title":"CodeParrot Clean Train Dataset, 2021","venue":null,"work_id":"24e94fff-5a9b-4850-8d99-fc51f24a1355","year":2021},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:16.398369Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:6bd790d22f8678eba23b03721014a110043812cd33e202ae7cace6df523226e0","observation_id":"13b7bea0-dfdc-4b31-baae-66626e861d22","resolution":{"observed_at":"2026-08-07T10:19:29.878040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:29.731346Z","title":"Fu, Stefano Ermon, Atri Rudra, and Christopher Ré","venue":null,"work_id":"22395ae2-5b3e-4541-990e-fdade81ce19d","year":2022},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:16.548305Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:0b1d69b692c682f670238092a3ed9e5cdf6a717bbcec22878190420b7989383a","observation_id":"dc750d24-73f5-4cef-8bb0-399745153956","resolution":{"observed_at":"2026-08-07T10:19:29.767484Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:29.650620Z","title":"DeepSpeed GitHub Is- sues","venue":null,"work_id":"795d0501-9a51-4f70-8147-2ccfdb289228","year":2024},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:16.771415Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:e77158b3750824ec861c6569a12290a4ca303551cec6aadec4feeffe35faebc2","observation_id":"b70b2b94-7079-47d2-b719-2f3a04d09c7c","resolution":{"observed_at":"2026-08-07T10:19:29.687571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:29.488235Z","title":"Un- derstanding software-2.0: A study of machine learning library usage and evolution.ACM Trans","venue":null,"work_id":"1aa562fd-069d-4464-930c-1891bb7c18e3","year":2021},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:16.995248Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:225ca1621d1fb35d8111e4a2a26f516115f97bcf8acf33632072d6b47dbc8c55","observation_id":"fac0c636-e3ca-4f84-96ce-acb14009c880","resolution":{"observed_at":"2026-08-07T10:19:29.580767Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:29.326613Z","title":"The Llama 3 Herd of Models, 2024","venue":null,"work_id":"2c2b382a-acc4-4649-9029-942f2efbbadd","year":2024},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:17.162815Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:566b9717920315a07bc8a63a49cfb076049fab7e0b7e69f5f4fd5d4c93c0f22d","observation_id":"dacf0b86-f9b6-4bf1-b20d-0b4b73760938","resolution":{"observed_at":"2026-08-07T10:19:29.401185Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:29.192721Z","title":"Bugs as deviant behavior: a general approach to inferring errors in systems code","venue":null,"work_id":"e98803ff-58e7-4b0d-bcdd-19757980bc3f","year":2001},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:17.375854Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:ee2d36b1daf05419f00fb4f5a7e7e704ed61380af493d4abe895ddf182861686","observation_id":"492eb19f-fe7d-473f-b7e5-a0b55ef9238d","resolution":{"observed_at":"2026-08-07T10:19:29.250604Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:29.042602Z","title":"Ernst, Jake Cockrell, William G","venue":null,"work_id":"51f69f44-bcff-4790-81c5-d1da6e0b6558","year":1999},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:17.579131Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:e270bb275e9a6a424fdb32bef414bde5d3a9c9f04709bbbef6dfcbc2c70d8c95","observation_id":"29281c03-6698-4cf6-afa8-baaa9cbbf1fe","resolution":{"observed_at":"2026-08-07T10:19:29.117052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:28.932534Z","title":"A guide to deep learning in healthcare.Na- ture Medicine, 25(1):24–29, January 2019","venue":null,"work_id":"2f81db8c-ad0d-44ec-bfe1-6ea02626ceb7","year":2019},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:17.735880Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:aab5b473f59cb895e1c6471e6914a6723d2d1fa8c11075adbde94848536cf756","observation_id":"da19880f-d5ef-4b2e-9fb4-1d1499eb28aa","resolution":{"observed_at":"2026-08-07T10:19:28.980692Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:28.813530Z","title":"Audee: automated testing for deep learning frameworks","venue":null,"work_id":"f382a5ca-c5df-439d-9336-5b4d3a563746","year":2020},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:17.894141Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:149246b396b07f05454c1e329bf0e5dd1707e10ad449a1f76be41bf1ac373380","observation_id":"1c4758aa-0f67-41b6-a442-8db3c0bb6e38","resolution":{"observed_at":"2026-08-07T10:19:28.876710Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:28.724507Z","title":null,"venue":null,"work_id":"8c887c39-acd6-4c8f-a9dd-5d667e210287","year":2002},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:18.041431Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:0947355fc7870a55298a4f40cc0398f8a56a08c042d084bfe83f3df7ceed8da8","observation_id":"3bab71eb-69d8-41f4-a9fe-68ed24ce39ae","resolution":{"observed_at":"2026-08-07T10:19:28.764604Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"questions/5012471","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:19:20.836270Z","title":"Dataloader not ran- domly sampling in PyTorch","venue":null,"work_id":"05494b95-0b98-487d-896d-0d0d2a4c689c","year":2018},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:18.199742Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:923fadafd339541debff0758d99ecb79fa2799248d2504e7341e424a406ab7f6","observation_id":"ac0e8558-2c84-42d1-8908-0e294b85e226","resolution":{"observed_at":"2026-08-07T10:19:20.892881Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:28.633312Z","title":"Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates","venue":null,"work_id":"7adf6a4a-bb7f-4eee-929d-dcd0bf1e8bf0","year":2023},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:18.272119Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:2f1917ff4a08fa9abeb6611a5a1fe74944433fb2975781b5145e312e5f51cd7e","observation_id":"76e62306-e57c-4a3f-8424-f513fe49c039","resolution":{"observed_at":"2026-08-07T10:19:28.682456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:28.418129Z","title":"A static an- alyzer for detecting tensor shape errors in deep neural network training code","venue":null,"work_id":"7a64cf4c-6bc0-48fe-bad6-1324a9e67a6b","year":2022},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:18.355114Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:f4562ded06ba4c364d62f28e17a5fcc4d4d0eebfa3ba0ee0130b57b7e30fa588","observation_id":"1e44f2ba-abcd-4a7f-b26a-b0ac79433874","resolution":{"observed_at":"2026-08-07T10:19:28.479643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:18.425056Z","title":"Deep learning.Nature, 521(7553):436–444, May 2015","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:18.425056Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:2993b9e5127b4db2404417b645d3bd4af7e4fbf14c46a000b8820a2a8c0a4fee","observation_id":"4a9ea969-9d97-464e-9ee7-ddd83bf9d258","resolution":{"observed_at":"2026-08-07T10:19:18.425056Z","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":"2026-08-07T10:19:28.217615Z","title":"Reliability Assurance for Deep Neural Network Architectures against Numerical Defects","venue":null,"work_id":"c8f4772b-3843-4f84-9d35-d220c9a663c2","year":2023},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:18.466492Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:d24d1de8a8886120242916025191ad63feaba5a13da9bdfa6fd79c60c8325edf","observation_id":"2fa6460b-5212-44fe-b992-db26923e5517","resolution":{"observed_at":"2026-08-07T10:19:28.294848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:28.007761Z","title":"Universal Checkpointing: Efficient and Flex- ible Checkpointing for Large Scale Distributed Training, 2024","venue":null,"work_id":"1b35174c-b806-4c3c-b983-7c92b86e8c3f","year":2024},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:18.526120Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:38fc38909a4575e36c3763378ede52005a1063b51bc388d6576e66acb1037a58","observation_id":"b8df5aef-3834-475f-a65c-5d23b823256c","resolution":{"observed_at":"2026-08-07T10:19:28.131016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:27.853519Z","title":"NN- Smith: Generating Diverse and Valid Test Cases for Deep Learning Compilers","venue":null,"work_id":"3f884bbe-0183-43f2-bf03-d76a52ae57c4","year":2023},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:18.596115Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:c2a3ecb1d46568fc18fc05db8953421cfcb6d68ef4b197471f58ea8e7784e8ae","observation_id":"ffd8d4c5-44f0-4031-b73a-3911ac14b9e3","resolution":{"observed_at":"2026-08-07T10:19:27.913528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:27.649812Z","title":"NeuRI: Diversifying DNN Generation via In- ductive Rule Inference","venue":null,"work_id":"c06b7af8-1560-4b6c-b00c-dfb6b1ab228a","year":2023},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:18.652984Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:9b4abcf06e1a64095ded75405360c110ca58043b5a1f5922d074153cbeeb375f","observation_id":"e5dc80ce-f5b2-4801-b728-4d8c3bec7416","resolution":{"observed_at":"2026-08-07T10:19:27.744906Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:27.392423Z","title":"Demystify- ing and Checking Silent Semantic Violations in Large Distributed Systems","venue":null,"work_id":"54b24124-7a92-42a5-b20b-d9769422f7e3","year":2022},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:18.718397Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:5b176228df4f88f6a74ee9c410e2d48d34785b38109421f50bc91095535620df","observation_id":"d50343c3-655d-4efb-bd90-01f5cd5586ea","resolution":{"observed_at":"2026-08-07T10:19:27.566360Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:27.097028Z","title":"Sakallah","venue":null,"work_id":"8fdf89a4-54a6-467a-b9c2-ba8fdf6b8fdd","year":2019},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:18.754387Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:851091551050c545a5247f5f2528d7da40f5f8d2900583f72569e1d416b4ad4a","observation_id":"e1383ac3-553a-425b-9155-2419eed75766","resolution":{"observed_at":"2026-08-07T10:19:27.247891Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:26.830743Z","title":"Efficient large-scale language model training on GPU clusters using megatron-LM","venue":null,"work_id":"687dae9d-5f83-4882-be03-317af35c1d7a","year":2021},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:18.838803Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:a5641d14783e420d185a7a0060167edb6d9fbbff42b4b6915b23b63dff1320ac","observation_id":"04a8ba33-c162-4b06-a645-185eb134b878","resolution":{"observed_at":"2026-08-07T10:19:26.976596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:26.606475Z","title":"DeepXplore: Automated Whitebox Testing of Deep Learning Systems","venue":null,"work_id":"e30da121-f977-4d84-99f3-f8fe0c06a7e1","year":2017},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:18.901746Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:4b9dd16f604cd4b61c2f222acc7973f0b133c425ff11f7e83fdeed63858d42a6","observation_id":"bb4042f0-2057-4a95-ad0e-4c0ccb0d5ed4","resolution":{"observed_at":"2026-08-07T10:19:26.737256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:26.353157Z","title":"CRADLE: Cross-Backend Validation to De- tect and Localize Bugs in Deep Learning Libraries","venue":null,"work_id":"8153064c-181b-47ab-9492-685ee9d6c4a5","year":2019},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:18.937240Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:0567c499b96f68d89b46af5bdfdaf002a7bd65b242e14ab078acd5ea8df711e0","observation_id":"34c640f9-c584-4328-9458-b8fb684f38bb","resolution":{"observed_at":"2026-08-07T10:19:26.510558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:26.052456Z","title":"PyTorch Discussion Forum","venue":null,"work_id":"30cdc5b2-e70a-4be4-b89b-b7957f3d2000","year":2024},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:18.986322Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:165d904a95d636492781e7381e55e7061df4b1331b6e5f50b1503b8e8274169c","observation_id":"9136ead2-4bef-49b3-8b72-85cf6f71c46c","resolution":{"observed_at":"2026-08-07T10:19:26.179120Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:25.704768Z","title":"PyTorch Examples","venue":null,"work_id":"f3514ffc-26da-4efa-8e88-76b49ebc7ed7","year":2024},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:19.028148Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:bd77f344629da3de72394e89499965b7aeec7dce9ca379e50c27ed2ff9170ee4","observation_id":"5d04ced6-1580-45e9-a832-72f5477544c6","resolution":{"observed_at":"2026-08-07T10:19:25.878999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:25.401721Z","title":"PyTorch GitHub Issues","venue":null,"work_id":"2ccaf60f-5955-4724-bf4f-2a6f630441a2","year":2024},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:19.086999Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:fb561e0fd925d642b45770525d374d7f819262243ff5581298bb393014c74bee","observation_id":"8cfccdc2-5693-4f48-bae4-e1c0a410851b","resolution":{"observed_at":"2026-08-07T10:19:25.521266Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:25.018132Z","title":"A Bug That Plagues Thousands of Open-Source ML Projects","venue":null,"work_id":"195665f4-d8f2-4672-ae14-8f26945ffc0c","year":2019},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:19.204013Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:5a4ff89be31b1c02c2e06d71a7b310a45534e262187dd9e5e56106997b1fc782","observation_id":"15631738-f88f-4ea0-af9d-85e80ec595e3","resolution":{"observed_at":"2026-08-07T10:19:25.171772Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:24.753443Z","title":null,"venue":null,"work_id":"7c08178b-fb77-41eb-aa7e-435d2ab20b0c","year":2021},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:19.299680Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:55a9d06f9dadb145146a5500a3fcb3cac40d0336a51fbd3d6659c2dfa52c8636","observation_id":"0d62d012-bd34-4513-8d10-6f7b8a1929a2","resolution":{"observed_at":"2026-08-07T10:19:24.884549Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:24.431442Z","title":"Language Models are Un- supervised Multitask Learners","venue":null,"work_id":"f4ced0f2-8420-4406-98fa-a5c63ec58011","year":2019},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:19.404504Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:ceb0abefee9dadd8421568f109abae879d9c5259eb80aac15f00cc2b52e11d1d","observation_id":"a5915c80-b980-4d44-b091-739962da4ee4","resolution":{"observed_at":"2026-08-07T10:19:24.629380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:24.127942Z","title":"DeepSpeed: System Optimizations Enable Training Deep Learning Models with Over 100 Billion Parameters","venue":null,"work_id":"15fb9d42-3050-4e6f-bb54-c68ed5609869","year":2020},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:19.483489Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:9b28163a09a4721010258e02b118e423bc6cc123c2ce865e8811a66d00be3044","observation_id":"4d51d866-4409-4eb8-9a61-eb59db3ce92d","resolution":{"observed_at":"2026-08-07T10:19:24.242754Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:23.818153Z","title":"StackOverflow - Questions and Answers on PyTorch","venue":null,"work_id":"24f00188-4b30-478f-994c-77276b273d45","year":2024},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:19.598609Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:cd114332dbe5adecde1bb3656de0cec058c49ba317e67849b656030b590a0a6b","observation_id":"6226203c-1c97-446e-9a61-bba0d32a79fd","resolution":{"observed_at":"2026-08-07T10:19:24.011885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:23.375844Z","title":"Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs","venue":null,"work_id":"b2fffd1e-a3bd-4f7f-b36f-2a39e39442ef","year":2023},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:19.688723Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:558c721d21b2304ef395799089996de830088f55bfbef4c6c1b44cc65a92bd0b","observation_id":"c6878e62-dc57-4eb4-8915-f5a3fd786dbc","resolution":{"observed_at":"2026-08-07T10:19:23.593457Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:23.082709Z","title":"DeepTest: automated testing of deep-neural-network- driven autonomous cars","venue":null,"work_id":"f2e03424-a830-4b88-bce0-a78a62ceec33","year":2018},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:19.749731Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:9ea7a42fde753c8d35722929437462817f325f0e468f9ec81df5f9a7acc08037","observation_id":"60e232a4-c7f7-456e-a0f0-7863a63922db","resolution":{"observed_at":"2026-08-07T10:19:23.227425Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:22.973741Z","title":"Deep learning library testing via ef- fective model generation","venue":null,"work_id":"e6aa9a7d-6c15-43ff-8bad-7d783d70790e","year":2020},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:19.808458Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:f6baaf60e78bd9cc6c823cd6aa9a6bd011f7ff531b2be9c45748877b8f74a645","observation_id":"ee15d674-f211-437d-9429-b7833b8e736c","resolution":{"observed_at":"2026-08-07T10:19:23.012595Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:22.819721Z","title":"BloombergGPT: A Large Language Model for Finance, 2023","venue":null,"work_id":"67065cad-544a-457f-92aa-e90b7dd4ea47","year":2023},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:19.919401Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:a63aa5ef51894530a6ca8180de6a5f0b19fea648dbd95febc8a46f7f33971540","observation_id":"f60a2a93-554b-4f30-9dce-caa6a16d7db0","resolution":{"observed_at":"2026-08-07T10:19:22.891394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:22.629040Z","title":"Unawareness of Deep Learning Mistakes","venue":null,"work_id":"641079b2-ed5c-48ef-bd5f-1ab4cc251715","year":2017},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:20.048875Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:87499e958e99d03c2ca0b22c5bdda5b031ec4aaba5eb4ab1e54b89662d913209","observation_id":"61528e1c-0d94-46a4-8afa-f3cce25ea776","resolution":{"observed_at":"2026-08-07T10:19:22.757650Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:22.377398Z","title":"Fight Against Silent Bugs in Deep Learning Libraries","venue":null,"work_id":"f61ffbc4-2d14-45d5-8dee-465f4a58bbc4","year":2020},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:20.128070Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:a1676225bcd067ef2463a89fa42f96187baadc6e495041dcaf89cca0779917a5","observation_id":"c582e20d-e144-4cf0-9894-ff64e2bbb56d","resolution":{"observed_at":"2026-08-07T10:19:22.486859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:22.158863Z","title":"DuoAI: Fast, Automated Inference of Inductive In- variants for Verifying Distributed Protocols","venue":null,"work_id":"e79588a1-3116-4920-b968-4b0e2c823649","year":2022},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:20.206393Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:29844b049b508ed9415f77135e4e9b6c395755d8d73170741ef05a32fde9038c","observation_id":"c7424eb9-88a7-4391-a388-fb74e75f5c82","resolution":{"observed_at":"2026-08-07T10:19:22.284211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:21.938175Z","title":"DistAI: Data-Driven Automated Invariant Learning for Distributed Protocols","venue":null,"work_id":"969b9d5e-4827-42da-ad72-bf743681f8fd","year":2021},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:20.271734Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:7da605277eacdc813263f8107f48bf64bd97c4186a719979d7d6acec109b10ed","observation_id":"534df0f8-898b-44df-8c50-6ee6608985dd","resolution":{"observed_at":"2026-08-07T10:19:22.024283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:21.707794Z","title":"Hyper-Parameter Optimization: A Review of Algorithms and Applications, 2020","venue":null,"work_id":"0a21d59e-bd73-48f8-9717-b8f77b33aea3","year":2020},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:20.388261Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:3cccb87a143772ed4f65d3e96fd340259fab931c7f2813047a7d295f9ab3f309","observation_id":"f36e6f7d-b37d-4c74-9a26-81f5bf855b27","resolution":{"observed_at":"2026-08-07T10:19:21.851695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:21.450017Z","title":"An empirical study on program failures of deep learning jobs","venue":null,"work_id":"d1f4b6ae-4c44-4f15-845f-d1f1598251b7","year":2020},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:20.499149Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:486202ad2889e0a052faac7e2ebda512ce812cacca0b8a5149c064f55120ff14","observation_id":"cebf8c2d-aa26-4f3a-b838-7e8a3da9fbe2","resolution":{"observed_at":"2026-08-07T10:19:21.591501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:21.224053Z","title":"OPT: Open Pre-trained Trans- former Language Models, 2022","venue":null,"work_id":"55e127aa-516e-4a8e-a94a-2aa7a55658f7","year":2022},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:20.594797Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:fa8bacdf3407d2efd99100ab0040bd8834e926ddac73e5624daf839198ba102d","observation_id":"ed27a268-4401-40a1-9472-eaa26421656b","resolution":{"observed_at":"2026-08-07T10:19:21.337989Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:19:20.967686Z","title":"An Empirical Study of Common Chal- lenges in Developing Deep Learning Applications","venue":null,"work_id":"da950f93-9fbf-4bd7-8b78-a1694264b91b","year":2019},"citing_paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:20.651322Z"},"links":{"citing_paper":"/paper/2506.14813"},"observation_digest":"sha256:e6a3827179058b6c5776b6909552b2b737b47797999252043ccd2197b4f45022","observation_id":"ce357882-c49d-467a-93c0-cedbbc073b1a","resolution":{"observed_at":"2026-08-07T10:19:21.066022Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.14813","last_updated":"2025-06-06T05:34:42Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T10:11:18.461968Z","submitted_at":"2025-06-06T05:34:42Z","title":"Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks"},"reference_resolution":{"displayed":52,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":1,"verified_fuzzy":48},"total_outbound_references":52},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2506.14813."}