{"as_of":"2026-08-10T12:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bde1623f5cdfddf8281ac2ab585f4431511a53a243612a6168308db97045a869","coverage":[{"denominator":63,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":63,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T17:00:51.044964Z","state":"measured"},{"denominator":67,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":67,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T23:48:01.085330Z","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":"2026-05-23T18:53:21.449284Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"cited_work":{"arxiv_id":"2502.01027","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01027","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Adversarial robustness in two-stage learning-to-defer: Algorithms and guarantees","venue":null,"work_id":"ff4b4ece-9a09-487e-84d9-8e7c54a5fde8","year":2025},"citing_paper":{"arxiv_id":"2410.15761","last_updated":"2026-06-03T09:17:37Z","snapshot_observed_at":"2026-08-01T14:18:40.066269Z","submitted_at":"2024-10-21T08:21:00Z","title":"Optimal Query Allocation in Extractive QA with LLMs: A Learning-to-Defer Framework with Theoretical Guarantees","version":4},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-05-23T18:49:39.718108Z"},"links":{"cited_paper":"/paper/2502.01027","citing_paper":"/paper/2410.15761"},"observation_digest":"sha256:fe90b414e76ee7b0f38843ab18332b24a4759f1d406db11332dcb39f0d5b30d9","observation_id":"f7bab696-c21a-4347-b6c1-8b792cfca58d","resolution":{"observed_at":"2026-05-23T18:53:21.451849Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.01027","snapshot_observed_at":"2026-08-07T23:48:01.085330Z","title":"Adversarial robustness in two-stage learning-to-defer: Algorithms and guarantees, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.08773","last_updated":"2025-07-22T15:27:33Z","snapshot_observed_at":"2026-08-08T01:13:01.972942Z","submitted_at":"2025-02-12T20:30:28Z","title":"Universal Model Routing for Efficient LLM Inference","version":2},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-07T23:48:01.085330Z"},"links":{"cited_paper":"/paper/2502.01027","citing_paper":"/paper/2502.08773"},"observation_digest":"sha256:c8a0a1e453a4c3b5f81050fbc83bd191a23565640845838336562a2fdb1e77ab","observation_id":"a4b21bdb-d782-4c1c-a32b-8eea868ddebe","resolution":{"observed_at":"2026-08-07T23:48:01.085330Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"cited_work":{"arxiv_id":"2502.01027","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01027","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Adversarial robustness in two-stage learning-to-defer: Algorithms and guarantees","venue":null,"work_id":"ff4b4ece-9a09-487e-84d9-8e7c54a5fde8","year":2025},"citing_paper":{"arxiv_id":"2510.10988","last_updated":"2026-05-29T07:54:11Z","snapshot_observed_at":"2026-08-04T10:16:29.400659Z","submitted_at":"2025-10-13T03:55:55Z","title":"Adversarial Robustness in One-Stage Learning-to-Defer","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-21T20:50:49.125067Z"},"links":{"cited_paper":"/paper/2502.01027","citing_paper":"/paper/2510.10988"},"observation_digest":"sha256:aed3d54779e854548f1e0e95a610a1d4d7ca947a52c2c091956c0d9da209e65a","observation_id":"a3108c32-9d96-4281-ba14-0cd22c0bad19","resolution":{"observed_at":"2026-05-21T20:54:21.765005Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.01027","snapshot_observed_at":"2026-08-04T10:16:31.869099Z","title":"Adversarial robustness in two-stage learning-to-defer: Algorithms and guarantees.arXiv preprint arXiv:2502.01027, 2025a","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.10988","last_updated":"2026-05-29T07:54:11Z","snapshot_observed_at":"2026-08-04T10:16:29.400659Z","submitted_at":"2025-10-13T03:55:55Z","title":"Adversarial Robustness in One-Stage Learning-to-Defer","version":4},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T10:16:31.869099Z"},"links":{"cited_paper":"/paper/2502.01027","citing_paper":"/paper/2510.10988"},"observation_digest":"sha256:6d24f3743ea5920c56e2a1e213779ff2062a367db1b7f04cc54a8fc642fbb972","observation_id":"0c361849-4e79-484d-bec6-0a598fdcc890","resolution":{"observed_at":"2026-08-04T10:16:31.869099Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2502.01027/citation-record","integrity":"/paper/2502.01027/integrity","json":"/paper/2502.01027/citation-record.json","paper":"/paper/2502.01027"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:00:50.755615Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.755615Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:26a37a05f82120edb8476cc047067cbd615a02dca02ede83dbc9f7e2cd9b4954","observation_id":"9f9eb8ab-df9d-4b52-a071-5c1e1f013629","resolution":{"observed_at":"2026-08-09T17:00:50.755615Z","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":"2026-08-09T17:00:52.273681Z","title":"and Mian, A","venue":null,"work_id":"a1d3a21e-efa0-423c-9722-e2d52793da3d","year":2018},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.761932Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:9dec56a1e57dba41fc328160cf8996c3e3e815d67c7bc72268896024e69209c5","observation_id":"bc53587b-e64d-4a85-8ce5-9cd89d4176bb","resolution":{"observed_at":"2026-08-09T17:00:52.278309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:52.259019Z","title":"Calibration and consistency of adversarial surrogate losses","venue":null,"work_id":"ff8700dd-2e47-40c6-8883-41af7ce0c697","year":2021},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.767624Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:96cf851bf47794fce73c90c1f9aad99903335f465d3da90df1de6621b011bccb","observation_id":"f5def455-ec0c-48b3-b307-dba192efe55d","resolution":{"observed_at":"2026-08-09T17:00:52.263834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:52.244604Z","title":"Multi-class h-consistency bounds","venue":null,"work_id":"6a293c66-6baf-4b60-bb8b-ccaa1c45935c","year":2022},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.773634Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:e0983e135ab8981673821c2a864fb61c9ad21a90faf4811c963376e31bdd7526","observation_id":"5edcefec-4be1-4009-9d6c-66f5fa24e61b","resolution":{"observed_at":"2026-08-09T17:00:52.249431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:52.229939Z","title":"Theoretically grounded loss functions and algorithms for adversarial robustness","venue":null,"work_id":"5e6dd5e4-e175-43e3-8845-a601db6878f2","year":2023},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.779255Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:78e71f48acabe7ce2ec3a242168bb9be8909429311c0dc4766d2efcc36895f68","observation_id":"d88eee4e-c34b-4502-972a-0ef698bd4553","resolution":{"observed_at":"2026-08-09T17:00:52.234781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:52.215218Z","title":"Calibrated surrogate losses for adversarially robust classification","venue":null,"work_id":"abf7243c-f372-4cc6-a144-4132e2f006a1","year":2020},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.784314Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:36d14ab420ad809ab8700556ede2bfef1cf07509aa8fa4353840b91c3acc9f77","observation_id":"4bb8a6a5-1a91-4da7-9e99-732eb3a4ac21","resolution":{"observed_at":"2026-08-09T17:00:52.220083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:50.789117Z","title":"Convexity, classification, and risk bounds","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.789117Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:59a979d46ced07db6a8c1c8a1a3bf0c4127eb288b683916cd856a0ee7e77754f","observation_id":"718c565a-4001-40d4-b1ed-2109b789e2e9","resolution":{"observed_at":"2026-08-09T17:00:50.789117Z","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":"2026-08-09T17:00:52.200625Z","title":null,"venue":null,"work_id":"dc79bf20-0ddd-46eb-877f-1f12d9fc953a","year":2008},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.794308Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:46d82c4b4b94b010735ae5540aae72ead3138318ad44c2489ef4119e282072f3","observation_id":"74d8bcf0-55e1-4e97-adae-228b73844081","resolution":{"observed_at":"2026-08-09T17:00:52.205062Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:50.798657Z","title":"Evasion Attacks against Machine Learning at Test Time, pp.\\ 387–402","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.798657Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:0a3df1714d262d6a0d6f2db98849fb36126cd2e468dee10667c0cf2719e01054","observation_id":"39479f5d-9240-478b-9e3c-bdf1a8d33411","resolution":{"observed_at":"2026-08-09T17:00:50.798657Z","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":"2026-08-09T17:00:52.185782Z","title":"In defense of softmax parametrization for calibrated and consistent learning to defer","venue":null,"work_id":"7a667571-b376-4196-8544-30557d7e33dd","year":2023},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.803062Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:acfc2e5244292c5e9dc60b07d844c9b78f9d4eb4ed72690f832e9614a38e4187","observation_id":"f6c55589-9cd1-4e12-a43f-30fba666fc53","resolution":{"observed_at":"2026-08-09T17:00:52.190640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:52.171454Z","title":"A survey on adversarial attacks and defences","venue":null,"work_id":"a38aa0df-bf83-49c1-8f4a-9e4e9b2186a7","year":2021},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.807409Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:a841b16ec41306b2d9f030055d5930758d501657c09f99fe3fa1c783148f6ce5","observation_id":"789cc601-971a-427e-8777-fad5c9bc8564","resolution":{"observed_at":"2026-08-09T17:00:52.176168Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:52.156629Z","title":"A., and Samadi, S","venue":null,"work_id":"11a7c3e6-67ab-4d14-b32f-9922d3c986e4","year":2022},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.811785Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:4f12de7341418554f48d581d69a544b71a18e7c02e5ca220bd149ea2658d02fd","observation_id":"9c4bdc44-ab5d-4a25-a9de-7232c9349ddb","resolution":{"observed_at":"2026-08-09T17:00:52.161258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:52.142773Z","title":"On optimum recognition error and reject tradeoff","venue":null,"work_id":"ec4ffc61-687a-42b7-9bc7-b9d6daed3992","year":2003},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.816153Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:07f41554f9774856d477ba298db7144897648240633a3fcb805e8646e0881cc4","observation_id":"82ef07c4-d93f-4223-8cc7-9f4eb7ecb2d5","resolution":{"observed_at":"2026-08-09T17:00:52.147130Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:52.127788Z","title":"Learning with rejection","venue":null,"work_id":"53be7a61-a673-4671-92ee-d7379f28bc47","year":2016},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.820543Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:73584c880e05d69582b0d30e2c60d1597aecd74a2025ec48586dea63592f191f","observation_id":"e190d1e9-8ee2-4444-bad2-420c7dda09fe","resolution":{"observed_at":"2026-08-09T17:00:52.132902Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:52.111731Z","title":"Cardinality-aware set prediction and top- k classification","venue":null,"work_id":"f4a72f4f-72bb-4694-8dbb-b379e00ae80b","year":2024},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.824843Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:dcbbaf3ba014846527e90deb84178f9e1f0e2e9bca579c52eb7bcfc19ffe12b7","observation_id":"0d20e24e-e591-4260-bfed-f68473e0b78b","resolution":{"observed_at":"2026-08-09T17:00:52.117019Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:52.095997Z","title":"Balancing the scales: A theoretical and algorithmic framework for learning from imbalanced data","venue":null,"work_id":"f53a233a-216b-4130-8c3b-37e4493087b3","year":2025},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.828943Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:c44cd9000bea9d04201dd9c823f70f4e445be83a60264ea7310cec41c980ea26","observation_id":"19b0ba5a-70cd-4bbf-9cc0-0601e8c37b18","resolution":{"observed_at":"2026-08-09T17:00:52.100764Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:50.833162Z","title":"The pascal visual object classes (voc) challenge","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.833162Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:9712dbc2298d78b130f1fc034aa23f43a3bdf13956d74b7e25878f7814a8faba","observation_id":"e039acbb-5925-4307-a283-de286a65c2dd","resolution":{"observed_at":"2026-08-09T17:00:50.833162Z","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":"2026-08-09T17:00:52.081038Z","title":"and El - Yaniv, R","venue":null,"work_id":"ee63d84f-aa59-40d8-b25e-171e22bcdd10","year":2017},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.837514Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:cf0b3b4a0e87f14fb96d195ef810c3329bb3f5eb50eb905bcac054c998e30b61","observation_id":"081d8d89-24f0-4efa-addc-8e097d9a1f26","resolution":{"observed_at":"2026-08-09T17:00:52.085555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:52.065973Z","title":null,"venue":null,"work_id":"e9cdbb3c-78fe-49b5-9e91-0b6c4ac7fc4f","year":2017},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.841969Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:5d8a4aedbff6a4f6327b9a7dd1949b910906a198dce4f48ebbe65f9979fc498d","observation_id":"4a6aa85d-9417-4c4e-8e81-0e1ec53340b7","resolution":{"observed_at":"2026-08-09T17:00:52.070754Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:52.049761Z","title":"J., Shlens, J., and Szegedy, C","venue":null,"work_id":"20057d36-3aad-4390-8e8f-44d03dbee7a7","year":2015},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.846607Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:bef8ac2ba940f3369214f87f519f4f9ac8f2b64aa39e7672bead1867e59cc508","observation_id":"1178a019-53e2-4145-92ad-2179c38babe2","resolution":{"observed_at":"2026-08-09T17:00:52.054468Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.03593","last_updated":"2021-03-30T08:08:12Z","snapshot_observed_at":"2026-07-06T10:02:27.415825Z","submitted_at":"2020-10-07T18:19:09Z","title":"Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.03593","snapshot_observed_at":"2026-08-09T17:00:50.850849Z","title":"A., and Kohli, P","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.850849Z"},"links":{"cited_paper":"/paper/2010.03593","citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:502d18bf7156fb7ac92051057c3b8b1ea5d84c54bc0fa1c98a1dd40170f752e7","observation_id":"74ffaae7-0726-4533-bf06-c5422ca5f466","resolution":{"observed_at":"2026-08-09T17:00:50.850849Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1512.03385","last_updated":"2015-12-10T19:51:55Z","snapshot_observed_at":"2026-07-06T04:39:28.429064Z","submitted_at":"2015-12-10T19:51:55Z","title":"Deep Residual Learning for Image Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1512.03385","snapshot_observed_at":"2026-08-09T17:00:50.855702Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.855702Z"},"links":{"cited_paper":"/paper/1512.03385","citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:2b85ddf1cd7499eaf62525957305d91e4decf33486718fdae841f9aa6835434e","observation_id":"8225fb2d-1546-4128-a9ea-7e9e35c94884","resolution":{"observed_at":"2026-08-09T17:00:50.855702Z","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":"2026-08-09T17:00:52.034294Z","title":"G., Zhu, M., Chen, B., Kalenichenko, D., Wang, W., Weyand, T., Andreetto, M., and Adam, H","venue":null,"work_id":"262a7e29-c8a2-447f-b898-d5e4dd26fcb4","year":2017},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.860656Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:31971f79e8ffef6cd591675178859f80e7937f5b74d4c5e22cc3d09d37aa5ec0","observation_id":"fbb8622c-e9dd-4ee0-8443-d1dc8c8de8cd","resolution":{"observed_at":"2026-08-09T17:00:52.039208Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:50.864911Z","title":"and Barry, R","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.864911Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:fcca55f9507f86226a43c8bd658b271136db3696102de94ea26e979bbc6ea0dd","observation_id":"4fb30704-2fc0-47e3-99aa-653d81696604","resolution":{"observed_at":"2026-08-09T17:00:50.864911Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:00:50.869371Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.869371Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:9f582a0f0cc472033b86030163d005b8c7e241c34a558025bf896dfd3f8521b6","observation_id":"365ebcf2-2fdd-40ae-8909-27dfcc9f3972","resolution":{"observed_at":"2026-08-09T17:00:50.869371Z","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":"2026-08-09T17:00:52.008995Z","title":"Learning multiple layers of features from tiny images, 2009","venue":null,"work_id":"845158b5-5aba-4bca-9059-4a4f028f176e","year":2009},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.873598Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:8b754ff26b6eca108963dbec305ded7a39e23d5f2d184f3ff2f17c7315176c19","observation_id":"c9e401d7-371b-46fd-b468-d38b9e54d311","resolution":{"observed_at":"2026-08-09T17:00:52.014183Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.994205Z","title":null,"venue":null,"work_id":"87cb3024-2e4e-4084-9dac-4ce77c70b23a","year":2013},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.877849Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:c0da6031cbc0e183ade5e64edb56f9e455be2b93cf89fb39ca26459b8382ffd3","observation_id":"77a74e67-20e6-420a-8e68-b056afbafe0b","resolution":{"observed_at":"2026-08-09T17:00:51.998740Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.979855Z","title":null,"venue":null,"work_id":"1f238c43-9591-43b3-830e-36961c10779c","year":2018},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.882563Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:9a25abd87d3f94118f2ea3b10519b6f33a66c9005debf50433ceb4e55d1e2210","observation_id":"11dbf8cf-e792-4969-8e57-83da4041ac6f","resolution":{"observed_at":"2026-08-09T17:00:51.984319Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.964757Z","title":"Towards deep learning models resistant to adversarial attacks","venue":null,"work_id":"72692496-86e3-4d55-935c-a99ddf53033e","year":2018},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.886750Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:432c3c280d060b4fa89e537c683c15bf9f9678e2dfb03be65e746fdb1586ce27","observation_id":"6ee65b5c-ed61-4539-91b9-da250df859ad","resolution":{"observed_at":"2026-08-09T17:00:51.969498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:50.890924Z","title":"Theory and Algorithms for Learning with Multi-Class Abstention and Multi-Expert Deferral","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.890924Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:4a509f2811f7c83be19a0ce2ec44a5b23b2ad8c3b3fc167ebe6de10df7124365","observation_id":"114a804d-6006-40b0-b965-32e2573df7b4","resolution":{"observed_at":"2026-08-09T17:00:50.890924Z","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":"2026-08-09T17:00:51.940081Z","title":"Two-stage learning to defer with multiple experts","venue":null,"work_id":"52e01dd9-5076-406c-8336-1515fd585da2","year":2023},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.895236Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:22474d3b426e2b43f50e50069ea738d6e863f713b88d0d092e57946357e2c84f","observation_id":"d95e3e68-aba3-41b9-b774-dde629e67a2b","resolution":{"observed_at":"2026-08-09T17:00:51.944855Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.924616Z","title":"Cross-entropy loss functions: Theoretical analysis and applications","venue":null,"work_id":"d3115f3c-e19b-4296-b465-b3677a68ec10","year":2023},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.899691Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:f90853297900c19b5bedf4839c4a156f74c8fb36bdae1c5b2dfd48b4c019f90a","observation_id":"4cfa8416-75ee-4492-91c5-b540ade182c9","resolution":{"observed_at":"2026-08-09T17:00:51.929609Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.909699Z","title":"H-consistency bounds: Characterization and extensions","venue":null,"work_id":"dded8c29-f995-4555-871c-39e4cc935210","year":2023},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.904139Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:f2950bce80de0f33bcbf1e28650a13ef8613495dab90fb2967c668cee507cd4c","observation_id":"f19e2bf9-ae3a-47e7-b65e-cacf790658ba","resolution":{"observed_at":"2026-08-09T17:00:51.914598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.894888Z","title":"h -consistency guarantees for regression","venue":null,"work_id":"3dc6e3d2-04ed-4165-a714-1cb5154d08cd","year":2024},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.908687Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:4bf1c1117a647a73e0b31e0ae6a47dcbd65f6fa5ffbc57727e257e963040557d","observation_id":"7e419617-9cd2-4146-9b11-6858ef8bc946","resolution":{"observed_at":"2026-08-09T17:00:51.899856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.880183Z","title":"Multi-label learning with stronger consistency guarantees","venue":null,"work_id":"ac71706f-6e46-4dc5-9c43-e3fd964dae20","year":2024},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.913062Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:f12fe1bdcfdfdf08af8a2d094e14f98d3cad51eae8e857ee54173fb3fe110e2c","observation_id":"cf80a920-cc1a-4b98-880e-cbeeab1e1ffc","resolution":{"observed_at":"2026-08-09T17:00:51.884752Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.865803Z","title":"Realizable h-consistent and bayes-consistent loss functions for learning to defer","venue":null,"work_id":"597abdee-f6ea-42cb-820d-e6920d6fd2c2","year":2024},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.917829Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:adafb170c552557245e229cfc1e30eeb278227aa8cdad1825b6d1d599cf176e9","observation_id":"2337b424-0e68-45f3-99fd-d79e1668bcda","resolution":{"observed_at":"2026-08-09T17:00:51.870467Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.851035Z","title":"Regression with multi-expert deferral","venue":null,"work_id":"803bafa6-146c-4154-a55b-ab1c1435e534","year":2024},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.922252Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:5fa396cea6d2777532e291caf40cbefa685ae268c312da8f753a5cdf4af1c1f9","observation_id":"e0b9380e-82be-4341-867d-36073742300a","resolution":{"observed_at":"2026-08-09T17:00:51.855716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.836696Z","title":"A universal growth rate for learning with smooth surrogate losses","venue":null,"work_id":"3554d4a4-b5ba-4a03-9386-21a3adf10428","year":2024},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.929848Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:5287daf948227a078e9080627f44632b84a61ac14f47a2ee0fa80a7e6ecd8305","observation_id":"b3e94083-ad58-4c26-9c77-274b20a89380","resolution":{"observed_at":"2026-08-09T17:00:51.841456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.822045Z","title":"Mastering multiple-expert routing: Realizable \\ h\\ -consistency and strong guarantees for learning to defer","venue":null,"work_id":"76a64734-3d6b-4070-a868-d5da910c53d5","year":2025},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.936057Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:d39e3ffe748c412aa13d1c0f63a2bfc9a34f765571a1d21ecfba81ba8c686fa8","observation_id":"f6b64196-2499-4522-b964-def4ce0bb680","resolution":{"observed_at":"2026-08-09T17:00:51.826892Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.807364Z","title":"Enhanced \\ h\\ -consistency bounds","venue":null,"work_id":"3127d20c-5223-4eee-b17f-ec2fddfeaf52","year":2025},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.940313Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:292a00089250005f62259104c9e4713e8d54e826d1d0fc78af7385e6e137f57a","observation_id":"14e394f3-d3bf-41b5-8fd0-0771bd133c4d","resolution":{"observed_at":"2026-08-09T17:00:51.811903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.792589Z","title":"Principled algorithms for optimizing generalized metrics in binary classification","venue":null,"work_id":"5b031b65-f23f-4a00-9756-78916a5618af","year":2025},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.944512Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:d3b2bcf37183b1212a890b80c1525d9d77508f8ce42c8be543dd60cdb676ab7e","observation_id":"b906bcf4-6011-42fc-90ba-0f5edd3ef227","resolution":{"observed_at":"2026-08-09T17:00:51.797516Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.778236Z","title":"Towards consistency in adversarial classification","venue":null,"work_id":"4743c38d-ae5b-49d7-aeaf-2c1dd124e476","year":2022},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.948676Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:35ef959f5533365ed07d2e005d7b6232d458f610271ab1d9645ece64c9ca29da","observation_id":"9bde7c96-d382-4bbc-a0ab-cf6c04f1cc62","resolution":{"observed_at":"2026-08-09T17:00:51.782926Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.764852Z","title":"Foundations of machine learning","venue":null,"work_id":"e03878e2-27dc-4fc9-b020-36129e0f7bc0","year":2012},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.952911Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:cf6dbd624dc0bb144fbe5fa954f7604806e821ef4167c8f8b05ae48a10759e7d","observation_id":"3b4a14a1-63e1-48c5-9fba-468a5248dd5d","resolution":{"observed_at":"2026-08-09T17:00:51.769229Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.751020Z","title":"H., Carlier, A., Ng, L","venue":null,"work_id":"75ca7231-6478-4947-8347-0bdd4424690c","year":2024},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.957280Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:19f48b675100ee3e8337a12df0d83a0dc5399555d29d746be0b49309cfb5ad8e","observation_id":"1d52de2f-77b5-4dc6-a829-6cfb48b705d6","resolution":{"observed_at":"2026-08-09T17:00:51.755438Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.736619Z","title":"X., and Ooi, W","venue":null,"work_id":"333a7022-b56f-491a-8e79-088efedb9f85","year":2025},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.961656Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:813e09fdc1f98521231e86ff3927db3f6509b21897420a51f9d829bd3980605f","observation_id":"30d2722d-d87e-4c06-a48b-07d10df16d0c","resolution":{"observed_at":"2026-08-09T17:00:51.741143Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.722020Z","title":"X., and Ooi, W","venue":null,"work_id":"fed7264b-5161-4ff2-b583-90a4042efb28","year":2025},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.966126Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:c64c5d26b37c97a2e02f328c5607b4784c4a51fb134a71de7e18d8ba189ffdf6","observation_id":"a39ba864-0316-447d-8b54-e0903a20690b","resolution":{"observed_at":"2026-08-09T17:00:51.726627Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.706774Z","title":"S., Carlier, A., Ng, L","venue":null,"work_id":"9041a7ad-92a9-4126-bd9d-e72d93f6272b","year":2025},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.970483Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:d768cfdae5b0fcc352e56ebd836ec29d8b35c9cc8bfcfa0887621fb18cde19d3","observation_id":"6244354c-0f7a-415d-8dc8-3594a0cf4c07","resolution":{"observed_at":"2026-08-09T17:00:51.711698Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.690276Z","title":"and Sontag, D","venue":null,"work_id":"0a44722d-5381-49c5-9997-13c53302b656","year":2020},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.974858Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:e863d68f5e6d4110ab9d156739436201447fb9ba2555ea7cbb9507b797fa13b8","observation_id":"04af085d-b62e-4045-ba18-10e8d1e813c2","resolution":{"observed_at":"2026-08-09T17:00:51.694891Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.675927Z","title":null,"venue":null,"work_id":"918a5873-38ea-41ce-95a8-10b35ac0a439","year":2023},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.979744Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:c6a8d011c5b89334178f2184fb39f911fb96e2b3d741214a8a5318994a2177f4","observation_id":"b974afc6-12be-4ddb-8bd6-16855ff8a2c0","resolution":{"observed_at":"2026-08-09T17:00:51.680659Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.661820Z","title":"K., Rawat, A","venue":null,"work_id":"b2f98cb6-c4a9-4225-b3fb-2aac4ee6c654","year":2022},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.984232Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:ef86d1efb89732951747cf6be6c17c10d3397e8a051f2041c719ada032240019","observation_id":"2f85d20b-e252-469b-b252-82a8fcdc6c59","resolution":{"observed_at":"2026-08-09T17:00:51.666535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.646654Z","title":null,"venue":null,"work_id":"12de91cd-eaab-49b2-ae38-b989ba1aaa15","year":1912},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.988484Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:0fab4f21858e0009c0c6976a160e6b57d0fc61803109d0afd9914953c0c64094","observation_id":"87e91f32-e897-4368-9c77-498917d64364","resolution":{"observed_at":"2026-08-09T17:00:51.651517Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.631233Z","title":"B., and Sun, J","venue":null,"work_id":"a1ecef0b-26b9-4579-8d50-aa0bcdf777bc","year":2015},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.994142Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:ccbdfa109e06f67741f3a9d3ab13953f734660213ca5f0da09c48eb129e8d77d","observation_id":"947da522-c398-465d-b01c-37624d7acbdd","resolution":{"observed_at":"2026-08-09T17:00:51.635953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.615740Z","title":"How to compare different loss functions and their risks","venue":null,"work_id":"a45f7262-c8b4-4e9a-b718-acfdc17dfbde","year":2007},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:50.998600Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:aa350051c3a21bbe0b4a508e044ebaf2dc341675d82620f4a73f992f2c2c513e","observation_id":"0f2a9dfc-9d3c-4197-9c35-c1fb27b0a35a","resolution":{"observed_at":"2026-08-09T17:00:51.620496Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.600198Z","title":"Towards human- AI collaboration in healthcare: Guided deferral systems with large language models","venue":null,"work_id":"c6d7164c-acc1-4f5b-a52e-fdca36857ecd","year":2024},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:51.002984Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:a7c3c83070116c3b6b5a9e3beb2f82ad9654ef29e3d2621e3d443ae6ed40936a","observation_id":"639bf0da-05ae-4575-bd35-0153be94fd0f","resolution":{"observed_at":"2026-08-09T17:00:51.605187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.584377Z","title":"J., and Fergus, R","venue":null,"work_id":"ef172c51-37b1-4fe4-8a73-130b486672b1","year":2014},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:51.007420Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:5a62f6f92a6a9edfaf4bc264e381914fff5e47cdf542e55c27d00e4a24e9d915","observation_id":"d8c32e36-21bf-42ce-9fbe-872679f440b6","resolution":{"observed_at":"2026-08-09T17:00:51.589036Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/11503415","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:00:51.077880Z","title":"and Bartlett, P","venue":null,"work_id":"ab06310d-d21c-4c4a-9789-da0d2b056a0c","year":2005},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:51.011897Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:ac7f99f218a2ded8ab93f8a645defe45bc6277977d251917e653139f3240b85e","observation_id":"f56dca2a-f115-484d-95d6-2b6218d9c9db","resolution":{"observed_at":"2026-08-09T17:00:51.084226Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.568428Z","title":null,"venue":null,"work_id":"c5d1dadb-0ac9-412a-9d62-64023d55381b","year":2023},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:51.017010Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:be3f9c9aa6ad74718a87e226ca417c98d4cfb91b6e0e7a49eb7a34ca23e4d8ee","observation_id":"10540027-bc0a-4303-a16b-e7fc12225caa","resolution":{"observed_at":"2026-08-09T17:00:51.573401Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.552273Z","title":"and Scott, C","venue":null,"work_id":"50f7979f-5be0-4a27-b2cf-43c51c041653","year":2023},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:51.021568Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:dc8cb66b074c3e4e5fb8c8b755cadf6c0f3f2d382e29b2e6869f0f3222c860ca","observation_id":"440b80a1-73d2-4a63-9fb7-10d4f3b87375","resolution":{"observed_at":"2026-08-09T17:00:51.556953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.536787Z","title":"and Watkins, C","venue":null,"work_id":"022eedd0-2f21-442e-9de4-79df4d46c93c","year":1998},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:51.026031Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:ffd1e7ec9a1b6058c8dee2b6f8cb466183045a21ef69bc4f2fd5e18ac91e122d","observation_id":"ccde7cc2-e552-4f6c-91dd-ef606d6f15c1","resolution":{"observed_at":"2026-08-09T17:00:51.541797Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.521602Z","title":"and Agarwal, S","venue":null,"work_id":"4aaa847c-0705-467d-bc9c-243d4a772e93","year":2020},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:51.030911Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:20dbb96437cbbba1530201b6c513d11b74c34d0915806f670a66827c075f7bc1","observation_id":"b4698066-23db-4a43-8cec-cf8bbb6805a0","resolution":{"observed_at":"2026-08-09T17:00:51.526319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.035654Z","title":"Statistical behavior and consistency of classification methods based on convex risk minimization","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:51.035654Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:5d5c998780d0f14684969877ee8f8d9ed811a7cfb9af65dfc09c036ec0059c3c","observation_id":"ba27dd38-f1e6-47a3-a226-bb3cf92664d9","resolution":{"observed_at":"2026-08-09T17:00:51.035654Z","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":"2026-08-09T17:00:51.506271Z","title":"and Sabuncu, M","venue":null,"work_id":"2193a200-26b4-4a0e-87b9-708bd11ced05","year":2018},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:51.040307Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:b46f237b2a0be0e81f195e80db535e9857bc69b55c5ca1e604103270835bc7fd","observation_id":"d5a984fc-fa65-4acf-8cd4-f075858a0c39","resolution":{"observed_at":"2026-08-09T17:00:51.511049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:00:51.489433Z","title":"Fundamental Novel Consistency Theory: H-Consistency Bounds","venue":null,"work_id":"6d1f9ae9-61ba-4967-ad12-fa798e593dbe","year":2025},"citing_paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees","version":4},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-09T17:00:51.044964Z"},"links":{"citing_paper":"/paper/2502.01027"},"observation_digest":"sha256:65d010fa54d8b3447d96bc330e32dd54f6419960a981f74eae37fbde28bee529","observation_id":"5f0be945-7ad8-4d10-bd7f-352939ddbf14","resolution":{"observed_at":"2026-08-09T17:00:51.495066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.01027","last_updated":"2025-08-25T10:03:43Z","latest_version":4,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-09T17:07:55.923483Z","submitted_at":"2025-02-03T03:44:35Z","title":"Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees"},"reference_resolution":{"displayed":63,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":17,"verified_exact":1,"verified_fuzzy":45},"total_outbound_references":63},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 4 inbound Pith citation observations for arXiv:2502.01027."}