{"as_of":"2026-08-04T14:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:974b0afc14c7163c30b0078d1289e9563e66c6fd643ecb90143605202ccc8603","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":20,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T21:00:25.296447Z","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":"2026-07-10T06:15:00.866473Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2102.11245","last_updated":"2021-02-22T18:30:15Z","snapshot_observed_at":"2026-07-06T10:43:36.832191Z","submitted_at":"2021-02-22T18:30:15Z","title":"Silent Data Corruptions at Scale","version":1},"cited_work":{"arxiv_id":"2102.11245","doi":"10.48550/arxiv.2102.11245","metadata_source":"arxiv_reference","pith_arxiv_id":"2102.11245","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Silent data corruptions at scale","venue":null,"work_id":"b972221b-9158-4d80-a518-5aa2970ae5f0","year":2021},"citing_paper":{"arxiv_id":"2312.11805","last_updated":"2025-05-09T21:04:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-19T02:39:27Z","title":"Gemini: A Family of Highly Capable Multimodal Models","version":5},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-05-24T05:00:28.453838Z"},"links":{"cited_paper":"/paper/2102.11245","citing_paper":"/paper/2312.11805"},"observation_digest":"sha256:e7c96b9e7ef44a32d8300023c1041f2e2e4961e7b7308269b4a2500fc3bdf516","observation_id":"610675a9-4c49-48c0-a84d-5609d8cecd4c","resolution":{"observed_at":"2026-05-24T05:03:55.434641Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.11245","last_updated":"2021-02-22T18:30:15Z","snapshot_observed_at":"2026-07-06T10:43:36.832191Z","submitted_at":"2021-02-22T18:30:15Z","title":"Silent Data Corruptions at Scale","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.11245","snapshot_observed_at":"2026-08-03T21:00:25.296447Z","title":"D.et al.Silent data corruptions at scale.arXiv preprint arXiv:2102.11245 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.19468","last_updated":"2026-06-17T09:31:06Z","snapshot_observed_at":"2026-08-03T21:00:24.229884Z","submitted_at":"2025-11-22T00:28:08Z","title":"Towards a future space-based, highly scalable AI infrastructure system design","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-03T21:00:25.296447Z"},"links":{"cited_paper":"/paper/2102.11245","citing_paper":"/paper/2511.19468"},"observation_digest":"sha256:6cbbc1cdb94b29f77751ae7f7fd1821a508e34f859bd5ee7666205707b8ed35a","observation_id":"c0e88b54-7859-4424-9d9d-d1b958cccdd3","resolution":{"observed_at":"2026-08-03T21:00:25.296447Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2102.11245","last_updated":"2021-02-22T18:30:15Z","snapshot_observed_at":"2026-07-06T10:43:36.832191Z","submitted_at":"2021-02-22T18:30:15Z","title":"Silent Data Corruptions at Scale","version":1},"cited_work":{"arxiv_id":"2102.11245","doi":"10.48550/arxiv.2102.11245","metadata_source":"arxiv_reference","pith_arxiv_id":"2102.11245","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Silent data corruptions at scale","venue":null,"work_id":"b972221b-9158-4d80-a518-5aa2970ae5f0","year":2021},"citing_paper":{"arxiv_id":"2603.07041","last_updated":"2026-05-04T01:10:30Z","snapshot_observed_at":"2026-08-02T13:55:49.191815Z","submitted_at":"2026-03-07T05:25:53Z","title":"AIReSim: A Discrete Event Simulator for Large-scale AI Cluster Reliability Modeling","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-15T15:40:32.351467Z"},"links":{"cited_paper":"/paper/2102.11245","citing_paper":"/paper/2603.07041"},"observation_digest":"sha256:be3d02407ef9ced3e3a8a458914cf0a9ce3b590634b22ef359abb340aa0fb31a","observation_id":"75bdaca7-5890-48c3-9095-b1fddb65b22b","resolution":{"observed_at":"2026-05-15T15:41:11.885635Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.11245","last_updated":"2021-02-22T18:30:15Z","snapshot_observed_at":"2026-07-06T10:43:36.832191Z","submitted_at":"2021-02-22T18:30:15Z","title":"Silent Data Corruptions at Scale","version":1},"cited_work":{"arxiv_id":"2102.11245","doi":"10.48550/arxiv.2102.11245","metadata_source":"arxiv_reference","pith_arxiv_id":"2102.11245","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Silent data corruptions at scale","venue":null,"work_id":"b972221b-9158-4d80-a518-5aa2970ae5f0","year":2021},"citing_paper":{"arxiv_id":"2604.09073","last_updated":"2026-04-10T07:56:38Z","snapshot_observed_at":"2026-07-06T22:58:04.106299Z","submitted_at":"2026-04-10T07:56:38Z","title":"DRIFT: Harnessing Inherent Fault Tolerance for Efficient and Reliable Diffusion Model Inference","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-10T17:05:49.089468Z"},"links":{"cited_paper":"/paper/2102.11245","citing_paper":"/paper/2604.09073"},"observation_digest":"sha256:9868ec6a61b595a343e8b97711337f4ccfc42c9ca384163d84ce72120a8d32e1","observation_id":"e3617a86-3f8e-4374-8806-291ee4147c54","resolution":{"observed_at":"2026-05-11T07:35:58.656083Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.11245","last_updated":"2021-02-22T18:30:15Z","snapshot_observed_at":"2026-07-06T10:43:36.832191Z","submitted_at":"2021-02-22T18:30:15Z","title":"Silent Data Corruptions at Scale","version":1},"cited_work":{"arxiv_id":"2102.11245","doi":"10.48550/arxiv.2102.11245","metadata_source":"arxiv_reference","pith_arxiv_id":"2102.11245","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Silent data corruptions at scale","venue":null,"work_id":"b972221b-9158-4d80-a518-5aa2970ae5f0","year":2021},"citing_paper":{"arxiv_id":"2604.09994","last_updated":"2026-04-11T02:49:38Z","snapshot_observed_at":"2026-07-06T22:58:43.155246Z","submitted_at":"2026-04-11T02:49:38Z","title":"Aging Aware Adaptive Voltage Scaling for Reliable and Efficient AI Accelerators","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-10T16:30:17.719603Z"},"links":{"cited_paper":"/paper/2102.11245","citing_paper":"/paper/2604.09994"},"observation_digest":"sha256:a1087660c16ad2290df96375ef30301645051a39513b00361823befafd52cbd3","observation_id":"cd2f4749-1b15-4eee-8106-dcc6767c2cdd","resolution":{"observed_at":"2026-05-11T08:45:59.763242Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.11245","last_updated":"2021-02-22T18:30:15Z","snapshot_observed_at":"2026-07-06T10:43:36.832191Z","submitted_at":"2021-02-22T18:30:15Z","title":"Silent Data Corruptions at Scale","version":1},"cited_work":{"arxiv_id":"2102.11245","doi":"10.48550/arxiv.2102.11245","metadata_source":"arxiv_reference","pith_arxiv_id":"2102.11245","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Silent data corruptions at scale","venue":null,"work_id":"b972221b-9158-4d80-a518-5aa2970ae5f0","year":2021},"citing_paper":{"arxiv_id":"2604.10390","last_updated":"2026-04-12T00:35:08Z","snapshot_observed_at":"2026-07-06T22:59:01.129724Z","submitted_at":"2026-04-12T00:35:08Z","title":"LLM-PRISM: Characterizing Silent Data Corruption from Permanent GPU Faults in LLM Training","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T16:41:25.467287Z"},"links":{"cited_paper":"/paper/2102.11245","citing_paper":"/paper/2604.10390"},"observation_digest":"sha256:9f40b3597ab487f4efd3cbfd5a0a866a86d9d4e58f8d3d5ea16217283acdb246","observation_id":"c552b27a-264c-4210-9272-27b7e90098d2","resolution":{"observed_at":"2026-05-10T16:45:37.129815Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.11245","last_updated":"2021-02-22T18:30:15Z","snapshot_observed_at":"2026-07-06T10:43:36.832191Z","submitted_at":"2021-02-22T18:30:15Z","title":"Silent Data Corruptions at Scale","version":1},"cited_work":{"arxiv_id":"2102.11245","doi":"10.48550/arxiv.2102.11245","metadata_source":"arxiv_reference","pith_arxiv_id":"2102.11245","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Silent data corruptions at scale","venue":null,"work_id":"b972221b-9158-4d80-a518-5aa2970ae5f0","year":2021},"citing_paper":{"arxiv_id":"2604.20587","last_updated":"2026-04-22T14:03:52Z","snapshot_observed_at":"2026-07-06T23:07:03.254122Z","submitted_at":"2026-04-22T14:03:52Z","title":"Making TransactionIsolation Checking Practical","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-09T22:55:06.520417Z"},"links":{"cited_paper":"/paper/2102.11245","citing_paper":"/paper/2604.20587"},"observation_digest":"sha256:1e95e961076920064fecf59ce489b2a75f64f134eacf4e18170546072a24b66d","observation_id":"61ba6882-9802-42ef-83df-e842b3651dce","resolution":{"observed_at":"2026-05-11T14:16:07.957162Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.11245","last_updated":"2021-02-22T18:30:15Z","snapshot_observed_at":"2026-07-06T10:43:36.832191Z","submitted_at":"2021-02-22T18:30:15Z","title":"Silent Data Corruptions at Scale","version":1},"cited_work":{"arxiv_id":"2102.11245","doi":"10.48550/arxiv.2102.11245","metadata_source":"arxiv_reference","pith_arxiv_id":"2102.11245","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Silent data corruptions at scale","venue":null,"work_id":"b972221b-9158-4d80-a518-5aa2970ae5f0","year":2021},"citing_paper":{"arxiv_id":"2604.22032","last_updated":"2026-04-23T19:46:52Z","snapshot_observed_at":"2026-08-02T06:08:09.530717Z","submitted_at":"2026-04-23T19:46:52Z","title":"Kernel Contracts: A Specification Language for ML Kernel Correctness Across Heterogeneous Silicon","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-09T22:30:16.501457Z"},"links":{"cited_paper":"/paper/2102.11245","citing_paper":"/paper/2604.22032"},"observation_digest":"sha256:c49d614b61bfc6131056641842c059f7d74a68ed2ad62d7cb91ca6fce86afd4a","observation_id":"09f01407-7446-47a0-be0c-32ff3c53f15a","resolution":{"observed_at":"2026-05-09T22:34:06.948636Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.11245","last_updated":"2021-02-22T18:30:15Z","snapshot_observed_at":"2026-07-06T10:43:36.832191Z","submitted_at":"2021-02-22T18:30:15Z","title":"Silent Data Corruptions at Scale","version":1},"cited_work":{"arxiv_id":"2102.11245","doi":"10.48550/arxiv.2102.11245","metadata_source":"arxiv_reference","pith_arxiv_id":"2102.11245","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Silent data corruptions at scale","venue":null,"work_id":"b972221b-9158-4d80-a518-5aa2970ae5f0","year":2021},"citing_paper":{"arxiv_id":"2605.04213","last_updated":"2026-05-05T18:54:19Z","snapshot_observed_at":"2026-07-30T05:55:01.079998Z","submitted_at":"2026-05-05T18:54:19Z","title":"The Anatomy of Silent Data Corruption: GPU Error Pattern Study and Modeling Guidance","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-08T18:04:59.746003Z"},"links":{"cited_paper":"/paper/2102.11245","citing_paper":"/paper/2605.04213"},"observation_digest":"sha256:5d44ea651f4dacdf356adb3212435c84dc434c2687b9a5916f9f78f6dafb227c","observation_id":"fb417ef6-690d-4f1c-b1cb-d0d22ef3d764","resolution":{"observed_at":"2026-05-09T06:50:40.884394Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.11245","last_updated":"2021-02-22T18:30:15Z","snapshot_observed_at":"2026-07-06T10:43:36.832191Z","submitted_at":"2021-02-22T18:30:15Z","title":"Silent Data Corruptions at Scale","version":1},"cited_work":{"arxiv_id":"2102.11245","doi":"10.48550/arxiv.2102.11245","metadata_source":"arxiv_reference","pith_arxiv_id":"2102.11245","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Silent data corruptions at scale","venue":null,"work_id":"b972221b-9158-4d80-a518-5aa2970ae5f0","year":2021},"citing_paper":{"arxiv_id":"2605.07417","last_updated":"2026-05-08T08:11:15Z","snapshot_observed_at":"2026-07-06T23:19:46.018236Z","submitted_at":"2026-05-08T08:11:15Z","title":"Effective and Memory-Efficient Alternatives to ECC for Reliable Large-Scale DNNs","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-11T02:04:44.009799Z"},"links":{"cited_paper":"/paper/2102.11245","citing_paper":"/paper/2605.07417"},"observation_digest":"sha256:24eee4317df11229d836c148aecf8e560d24556309c20286221319fba901cdd8","observation_id":"34fe1653-745e-47c8-9556-0ae563eae74a","resolution":{"observed_at":"2026-05-11T04:00:54.146809Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.11245","last_updated":"2021-02-22T18:30:15Z","snapshot_observed_at":"2026-07-06T10:43:36.832191Z","submitted_at":"2021-02-22T18:30:15Z","title":"Silent Data Corruptions at Scale","version":1},"cited_work":{"arxiv_id":"2102.11245","doi":"10.48550/arxiv.2102.11245","metadata_source":"arxiv_reference","pith_arxiv_id":"2102.11245","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Silent data corruptions at scale","venue":null,"work_id":"b972221b-9158-4d80-a518-5aa2970ae5f0","year":2021},"citing_paper":{"arxiv_id":"2605.08594","last_updated":"2026-05-09T01:22:28Z","snapshot_observed_at":"2026-07-06T23:20:47.880233Z","submitted_at":"2026-05-09T01:22:28Z","title":"FLARE: One-Shot PE-Level Fault Localization in Systolic Arrays via Algebraic Test Vectors","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-12T01:39:13.705355Z"},"links":{"cited_paper":"/paper/2102.11245","citing_paper":"/paper/2605.08594"},"observation_digest":"sha256:ebdde05a2304cd952de3d90845a5804ffd3298fedbc7f15b8d2f8afd9109b2ac","observation_id":"696e4757-488f-42cc-84b3-74d8a8bf03c6","resolution":{"observed_at":"2026-05-12T01:46:14.586275Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.11245","last_updated":"2021-02-22T18:30:15Z","snapshot_observed_at":"2026-07-06T10:43:36.832191Z","submitted_at":"2021-02-22T18:30:15Z","title":"Silent Data Corruptions at Scale","version":1},"cited_work":{"arxiv_id":"2102.11245","doi":"10.48550/arxiv.2102.11245","metadata_source":"arxiv_reference","pith_arxiv_id":"2102.11245","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Silent data corruptions at scale","venue":null,"work_id":"b972221b-9158-4d80-a518-5aa2970ae5f0","year":2021},"citing_paper":{"arxiv_id":"2605.15638","last_updated":"2026-05-15T05:43:33Z","snapshot_observed_at":"2026-07-06T23:26:56.013191Z","submitted_at":"2026-05-15T05:43:33Z","title":"ITHICA: Intra-Thread Instruction Checking Approach for Defect-Induced Silent Data Corruptions","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-19T19:52:48.799600Z"},"links":{"cited_paper":"/paper/2102.11245","citing_paper":"/paper/2605.15638"},"observation_digest":"sha256:74f962f20ae754f81edf66c3e5e4de7434fddac8afb9f527da5bc41c559cd539","observation_id":"d9ccc2c6-6417-4dd0-83c9-931b12c261a4","resolution":{"observed_at":"2026-05-19T19:53:12.466740Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.11245","last_updated":"2021-02-22T18:30:15Z","snapshot_observed_at":"2026-07-06T10:43:36.832191Z","submitted_at":"2021-02-22T18:30:15Z","title":"Silent Data Corruptions at Scale","version":1},"cited_work":{"arxiv_id":"2102.11245","doi":"10.48550/arxiv.2102.11245","metadata_source":"arxiv_reference","pith_arxiv_id":"2102.11245","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Silent data corruptions at scale","venue":null,"work_id":"b972221b-9158-4d80-a518-5aa2970ae5f0","year":2021},"citing_paper":{"arxiv_id":"2606.02430","last_updated":"2026-06-01T16:04:51Z","snapshot_observed_at":"2026-07-06T23:42:49.173711Z","submitted_at":"2026-06-01T16:04:51Z","title":"Not All Errors Are Equal: A Systematic Study of Error Propagation in Large Language Model Inference","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-28T12:36:23.320194Z"},"links":{"cited_paper":"/paper/2102.11245","citing_paper":"/paper/2606.02430"},"observation_digest":"sha256:840bdabb80f0ac5cf9f9e564c67e50b5a8ad2b8c2e5f66e897d173f0eb510fdb","observation_id":"b805996f-0a94-43a7-bb53-abfb59a66a38","resolution":{"observed_at":"2026-07-02T01:06:24.624791Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.11245","last_updated":"2021-02-22T18:30:15Z","snapshot_observed_at":"2026-07-06T10:43:36.832191Z","submitted_at":"2021-02-22T18:30:15Z","title":"Silent Data Corruptions at Scale","version":1},"cited_work":{"arxiv_id":"2102.11245","doi":"10.48550/arxiv.2102.11245","metadata_source":"arxiv_reference","pith_arxiv_id":"2102.11245","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Silent data corruptions at scale","venue":null,"work_id":"b972221b-9158-4d80-a518-5aa2970ae5f0","year":2021},"citing_paper":{"arxiv_id":"2606.05433","last_updated":"2026-06-03T20:57:28Z","snapshot_observed_at":"2026-08-04T05:45:43.856666Z","submitted_at":"2026-06-03T20:57:28Z","title":"Zero knowledge verification for frontier AI training is possible","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-28T06:06:59.462289Z"},"links":{"cited_paper":"/paper/2102.11245","citing_paper":"/paper/2606.05433"},"observation_digest":"sha256:c5686dceeca123847473a9fb87648c86d65d4cf4f414cb7c74cb6e656d325586","observation_id":"a780ec87-52a6-4f15-97d6-f19d63b56f09","resolution":{"observed_at":"2026-07-02T08:26:47.808890Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.11245","last_updated":"2021-02-22T18:30:15Z","snapshot_observed_at":"2026-07-06T10:43:36.832191Z","submitted_at":"2021-02-22T18:30:15Z","title":"Silent Data Corruptions at Scale","version":1},"cited_work":{"arxiv_id":"2102.11245","doi":"10.48550/arxiv.2102.11245","metadata_source":"arxiv_reference","pith_arxiv_id":"2102.11245","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Silent data corruptions at scale","venue":null,"work_id":"b972221b-9158-4d80-a518-5aa2970ae5f0","year":2021},"citing_paper":{"arxiv_id":"2606.10651","last_updated":"2026-06-09T09:58:08Z","snapshot_observed_at":"2026-07-06T23:49:51.672382Z","submitted_at":"2026-06-09T09:58:08Z","title":"Kwai Keye-VL-2.0 Technical Report","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-06-27T13:53:10.352603Z"},"links":{"cited_paper":"/paper/2102.11245","citing_paper":"/paper/2606.10651"},"observation_digest":"sha256:b451c908e77f5949312cce486023a5c291ad0161684a3bf80a178cb67c0862db","observation_id":"ac02bcb1-1511-4618-9acb-5076c283ea09","resolution":{"observed_at":"2026-07-03T04:27:37.150939Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.11245","last_updated":"2021-02-22T18:30:15Z","snapshot_observed_at":"2026-07-06T10:43:36.832191Z","submitted_at":"2021-02-22T18:30:15Z","title":"Silent Data Corruptions at Scale","version":1},"cited_work":{"arxiv_id":"2102.11245","doi":"10.48550/arxiv.2102.11245","metadata_source":"arxiv_reference","pith_arxiv_id":"2102.11245","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Silent data corruptions at scale","venue":null,"work_id":"b972221b-9158-4d80-a518-5aa2970ae5f0","year":2021},"citing_paper":{"arxiv_id":"2606.21791","last_updated":"2026-06-19T22:54:25Z","snapshot_observed_at":"2026-07-31T18:37:43.604484Z","submitted_at":"2026-06-19T22:54:25Z","title":"Single-Event Upsets in 3D Gaussian Splatting Rendering: Bit-Level Criticality, Spatial Extent, and a Parallel Support Guard","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-26T12:19:04.748007Z"},"links":{"cited_paper":"/paper/2102.11245","citing_paper":"/paper/2606.21791"},"observation_digest":"sha256:200e9884c5964340683b401ed3dc7b6b858d39abea6339e25d92aff2a63ccc53","observation_id":"5465d752-5121-4e7d-bb6f-57925a0276ea","resolution":{"observed_at":"2026-07-04T07:59:40.420202Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.11245","last_updated":"2021-02-22T18:30:15Z","snapshot_observed_at":"2026-07-06T10:43:36.832191Z","submitted_at":"2021-02-22T18:30:15Z","title":"Silent Data Corruptions at Scale","version":1},"cited_work":{"arxiv_id":"2102.11245","doi":"10.48550/arxiv.2102.11245","metadata_source":"arxiv_reference","pith_arxiv_id":"2102.11245","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Silent data corruptions at scale","venue":null,"work_id":"b972221b-9158-4d80-a518-5aa2970ae5f0","year":2021},"citing_paper":{"arxiv_id":"2606.27934","last_updated":"2026-06-26T10:26:50Z","snapshot_observed_at":"2026-07-07T00:02:04.432452Z","submitted_at":"2026-06-26T10:26:50Z","title":"Self-Verifying Measurement Records: Hash-Linked Evidence Graphs for Hardware Benchmarking","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-29T04:14:11.793614Z"},"links":{"cited_paper":"/paper/2102.11245","citing_paper":"/paper/2606.27934"},"observation_digest":"sha256:b9e3b258a9b8dcfb6be8c336a9117a088f53f3d26ed233eca3715ae9697e591d","observation_id":"a9cc9c57-c0a4-4725-a7c4-ef4b871f1cc9","resolution":{"observed_at":"2026-07-01T17:05:50.939908Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.11245","last_updated":"2021-02-22T18:30:15Z","snapshot_observed_at":"2026-07-06T10:43:36.832191Z","submitted_at":"2021-02-22T18:30:15Z","title":"Silent Data Corruptions at Scale","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.11245","snapshot_observed_at":"2026-07-13T03:44:09.309934Z","title":"Silent data corruptions at scale,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.09345","last_updated":"2026-07-10T12:24:25Z","snapshot_observed_at":"2026-07-15T23:18:11.247321Z","submitted_at":"2026-07-10T12:24:25Z","title":"How Far Are We from Detecting Flaky Tests? On the Limits of Code-Based Detection","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-13T03:44:09.309934Z"},"links":{"cited_paper":"/paper/2102.11245","citing_paper":"/paper/2607.09345"},"observation_digest":"sha256:d66ec8de49ead1bc2837b7ac067d0716ff9b018a5a0a3b0475b3a2381394e26d","observation_id":"43b57728-01a8-46b1-8271-516d675de8c5","resolution":{"observed_at":"2026-07-13T03:44:09.309934Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2102.11245","last_updated":"2021-02-22T18:30:15Z","snapshot_observed_at":"2026-07-06T10:43:36.832191Z","submitted_at":"2021-02-22T18:30:15Z","title":"Silent Data Corruptions at Scale","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.11245","snapshot_observed_at":"2026-07-14T12:07:13.700787Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.10389","last_updated":"2026-07-11T16:36:47Z","snapshot_observed_at":"2026-07-31T10:41:09.482984Z","submitted_at":"2026-07-11T16:36:47Z","title":"Stateful Worlds, Stateless Elasticity: Exact-State Serving for Interactive World Models","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-07-14T12:07:13.700787Z"},"links":{"cited_paper":"/paper/2102.11245","citing_paper":"/paper/2607.10389"},"observation_digest":"sha256:83f12030b7587cc7f1d06f399a13693a63942a467a0a439733dbd01c7fa2c3bd","observation_id":"de941a9a-aca5-4783-a65b-9415e96cc70f","resolution":{"observed_at":"2026-07-14T12:07:13.700787Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2102.11245","last_updated":"2021-02-22T18:30:15Z","snapshot_observed_at":"2026-07-06T10:43:36.832191Z","submitted_at":"2021-02-22T18:30:15Z","title":"Silent Data Corruptions at Scale","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.11245","snapshot_observed_at":"2026-08-01T14:41:00.022634Z","title":"Silent data corruptions at scale,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.18720","last_updated":"2026-07-21T05:22:05Z","snapshot_observed_at":"2026-08-03T09:02:35.795261Z","submitted_at":"2026-07-21T05:22:05Z","title":"An Efficient Fault-Tolerance Scheme for CKKS Computation on CPUs","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T14:41:00.022634Z"},"links":{"cited_paper":"/paper/2102.11245","citing_paper":"/paper/2607.18720"},"observation_digest":"sha256:406e640d2171304d862c89034dc25bf82d67463964102f0bfb2469143e3ddd1c","observation_id":"a897555c-44a8-4536-9901-d10e9e70155a","resolution":{"observed_at":"2026-08-01T14:41:00.022634Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2102.11245/citation-record","integrity":"/paper/2102.11245/integrity","json":"/paper/2102.11245/citation-record.json","paper":"/paper/2102.11245"},"outbound":[],"paper":{"arxiv_id":"2102.11245","last_updated":"2021-02-22T18:30:15Z","latest_version":1,"primary_category":"cs.AR","snapshot_observed_at":"2026-07-06T10:43:36.832191Z","submitted_at":"2021-02-22T18:30:15Z","title":"Silent Data Corruptions at Scale"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2102.11245."}