{"as_of":"2026-08-08T16:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c4cde04a095ce9d4e582bf12041d7f0abdaf8ae1068092252124bceaaf485cf0","coverage":[{"denominator":51,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":51,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:32:08.292783Z","state":"measured"},{"denominator":51,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":51,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.07804/citation-record","integrity":"/paper/2506.07804/integrity","json":"/paper/2506.07804/citation-record.json","paper":"/paper/2506.07804"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:04.594980Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:04.594980Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:7c9b9568a7d68b6ea220c1a5cf36c868ea05b214a16181bfc6ecc6f2e629f38f","observation_id":"3886f210-73f3-4fe6-bcae-55f916dfa0e9","resolution":{"observed_at":"2026-08-07T05:32:04.594980Z","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":"2026-08-07T05:32:12.808690Z","title":"Square attack: a query-efficient black-box adversarial attack via random search","venue":null,"work_id":"3c489876-b033-480d-80c8-e90a56371178","year":2020},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:04.668912Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:145ab3272697b499e79086357dbf9ff329b5e7ba99e4728838027e849006335d","observation_id":"d2a1ed17-9367-4a7b-9a2e-dbf81f30e861","resolution":{"observed_at":"2026-08-07T05:32:12.812727Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:12.798369Z","title":"N., Bates, S., Jordan, M., and Malik, J","venue":null,"work_id":"8e3389f1-410a-4c47-8d84-4c674e1a9a69","year":2021},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:04.737920Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:879f74e97a1546d29565bb4c5af719eb564a7aceb77f38ed7f686d2ac87b4f00","observation_id":"ebb4dc45-77e8-421f-a2c1-8a6bea4a40f6","resolution":{"observed_at":"2026-08-07T05:32:12.801598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:12.787124Z","title":null,"venue":null,"work_id":"896e3c17-497e-4391-a044-ae5557e3d417","year":2024},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:04.807413Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:6c2d29b42183e3927c9ea874c22abaed61334082766c0b977f7e040d1fbe9c25","observation_id":"4ae81991-6afd-468e-8b5b-5a4d75df3f5b","resolution":{"observed_at":"2026-08-07T05:32:12.790587Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:12.776603Z","title":"and Hein, M","venue":null,"work_id":"76147b35-1c49-494b-837a-d5c5f1567e59","year":2020},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:04.875288Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:773ce34b4aa51f61ea93a3a10cd9fab47d59b83a160bdb509358c2a8e83fd28a","observation_id":"346c803f-a99f-44f8-bfda-272117b5503a","resolution":{"observed_at":"2026-08-07T05:32:12.780320Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:12.764191Z","title":"Robustbench: a standardized adversarial robustness benchmark","venue":null,"work_id":"4027de16-02c2-4622-8955-8619553b2c23","year":2021},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:04.939820Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:871e237d98ed9aa01be624d3ac34d3572edb54ab98421697767edb5aa19dd281","observation_id":"b6be138b-dcc0-4c77-8d6d-e81a64340d65","resolution":{"observed_at":"2026-08-07T05:32:12.768862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:04.989268Z","title":"Imagenet: A large-scale hierarchical image database","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:04.989268Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:afc6dce60c46ab795760898e6297d7eeaff436bf3e596fbd2ef36f1f56d7a9e0","observation_id":"ff2328a4-3830-408f-898f-36fc31aa218c","resolution":{"observed_at":"2026-08-07T05:32:04.989268Z","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":"2026-08-07T05:32:12.734103Z","title":null,"venue":null,"work_id":"c2989ac2-13e2-4a2a-a944-408137e1e562","year":2024},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:05.076581Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:be759da986a4d4dd8ed336dd176611f5142d17670a26c6777753b40577eded7e","observation_id":"ba5148f9-37b8-4c5d-a866-c106249e1f4e","resolution":{"observed_at":"2026-08-07T05:32:12.749896Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.14295","last_updated":"2024-11-26T07:18:47Z","snapshot_observed_at":"2026-07-06T13:57:24.527958Z","submitted_at":"2022-09-28T17:59:35Z","title":"Label Noise Robustness of Conformal Prediction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.14295","snapshot_observed_at":"2026-08-07T05:32:05.120047Z","title":"N., Gendler, A., and Romano, Y","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:05.120047Z"},"links":{"cited_paper":"/paper/2209.14295","citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:b395027020939099481b9ec4ad00655c869e45fc1a658914432de151da8e8967","observation_id":"c03ff40e-68b3-4adc-a84c-274017823d40","resolution":{"observed_at":"2026-08-07T05:32:05.120047Z","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":"2026-08-07T05:32:12.549753Z","title":"Adversarially robust conformal prediction","venue":null,"work_id":"85164c43-2e1d-4778-9f4b-9117831a2535","year":2021},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:05.161237Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:41011321d5113c63e2a7c073dfdc69571122b30de478cf55a62dc3b4bc3a1684","observation_id":"bad37f9a-af72-422d-b597-cf23aa4de7fa","resolution":{"observed_at":"2026-08-07T05:32:12.616771Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:12.367734Z","title":"Probabilistically robust conformal prediction","venue":null,"work_id":"57cf04c6-7234-4b34-bc95-6775b7692ef7","year":2023},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:05.228220Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:3341fbd6a91d0836bb794cbbbd906bc53fb9201a915de343b979ba59d9dcf69a","observation_id":"63f87db5-7ebc-414a-b326-2abf122e8328","resolution":{"observed_at":"2026-08-07T05:32:12.470385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6572","last_updated":"2015-03-20T20:19:16Z","snapshot_observed_at":"2026-07-06T04:04:16.777653Z","submitted_at":"2014-12-20T01:17:12Z","title":"Explaining and Harnessing Adversarial Examples","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6572","snapshot_observed_at":"2026-08-07T05:32:05.282011Z","title":"J., Shlens, J., and Szegedy, C","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:05.282011Z"},"links":{"cited_paper":"/paper/1412.6572","citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:4efe0b7a27438204777cb97f89b41ce074aa584cb24681ff7e7546c2bb9286c0","observation_id":"566d3fd4-738b-473d-b331-80a5dc9e838e","resolution":{"observed_at":"2026-08-07T05:32:05.282011Z","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":"2026-08-07T05:32:12.156118Z","title":"and Verma, S","venue":null,"work_id":"16fb0fe7-c9a7-42b6-91e1-d4292d7e195f","year":2023},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:05.318214Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:8666468cfbc50f5faed1d16ee8769d8124e787ee2a38bb7f04b76647eb167caa","observation_id":"acf5e05d-fc8a-4054-bf76-5a4da01f953b","resolution":{"observed_at":"2026-08-07T05:32:12.304127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:12.015379Z","title":"and Verma, S","venue":null,"work_id":"d7c0418b-6375-4d61-a8da-310a9d843c38","year":2023},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:05.409905Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:135a633d53e378928438c784ffed460a8396cd832568b5255bfce53eab888260","observation_id":"79469153-e6ad-4064-b1ee-3d499a7ec751","resolution":{"observed_at":"2026-08-07T05:32:12.084916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:11.896277Z","title":"Deep residual learning for image recognition","venue":null,"work_id":"25f9b4db-9f96-4122-ad5c-81e4f6ec1d53","year":2016},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:05.558738Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:a3a3155c94b8b5cc46a8be8795e6416e06467dc9a06e57382691ed754b05bcee","observation_id":"b82b832a-757f-476e-bb96-015fc79707a5","resolution":{"observed_at":"2026-08-07T05:32:11.927958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:11.701680Z","title":"Identity mappings in deep residual networks","venue":null,"work_id":"adbed859-a911-436c-8146-f3f6411494db","year":2016},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:05.734733Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:8ab8258eeed2f6079cac87eb143cf11346ae2fc65a41cba7a3ed4dd9cc418092","observation_id":"25304c7f-18aa-4211-8a99-771484b59e12","resolution":{"observed_at":"2026-08-07T05:32:11.768627Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18942","last_updated":"2024-11-16T17:51:33Z","snapshot_observed_at":"2026-07-06T18:21:52.950440Z","submitted_at":"2024-05-29T09:50:43Z","title":"Verifiably Robust Conformal Prediction","version":3},"cited_work":{"arxiv_id":"2405.18942","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.18942","snapshot_observed_at":"2026-08-07T05:32:08.943487Z","title":"Verifiably Robust Conformal Prediction","venue":"cs.LO","work_id":"05703924-6b62-4bc6-bb73-75e165eb9afa","year":2024},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:05.840681Z"},"links":{"cited_paper":"/paper/2405.18942","citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:40f116dbf5823b14aad993cc376162b8da87e979c3993f7fa649ee0ca223b991","observation_id":"254d6311-baa8-4cc5-8005-9bf8b6e5181c","resolution":{"observed_at":"2026-08-07T05:32:09.004796Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:05.907605Z","title":"Learning multiple layers of features from tiny images","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:05.907605Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:49966925dae462608631037e38de6ed2f1af657fd52176ad1aa75cae246c6f51","observation_id":"ac23b893-0766-4139-82df-e7fc878f5f60","resolution":{"observed_at":"2026-08-07T05:32:05.907605Z","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":"2026-08-07T05:32:11.461813Z","title":"Evaluating conformal prediction techniques in adversarial environments: A comparative study","venue":null,"work_id":"2624216d-bd27-4fdd-b2f2-f7724f0fd72f","year":2024},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:05.956772Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:4aeb731c0d897be64677eed8ad89e6bc9f26cb24069f88cd886f1a76f7f74cbf","observation_id":"e031aba2-30e2-453d-8959-5bd510922871","resolution":{"observed_at":"2026-08-07T05:32:11.624010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1611.01236","last_updated":"2017-02-11T00:15:46Z","snapshot_observed_at":"2026-07-06T05:17:20.642708Z","submitted_at":"2016-11-04T01:11:02Z","title":"Adversarial Machine Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.01236","snapshot_observed_at":"2026-08-07T05:32:06.003812Z","title":"Adversarial machine learning at scale","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:06.003812Z"},"links":{"cited_paper":"/paper/1611.01236","citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:394498220fb28ac44e2d682a0468c0c1621c55992b628bce6a75485a90dfdeff","observation_id":"0f62ec91-01d3-4938-8a69-3e77dc5254e6","resolution":{"observed_at":"2026-08-07T05:32:06.003812Z","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":"2026-08-07T05:32:11.321670Z","title":"Data poisoning attacks against conformal prediction","venue":null,"work_id":"9c05636d-0d7f-41a2-a37b-cb536ee147a5","year":2024},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:06.074011Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:28713ea4a219d0a8421a9f70c660bb83edc86485b3b7f55ae7833a27684937bd","observation_id":"84f8da2e-ef68-49fa-8899-7c61c4f4025c","resolution":{"observed_at":"2026-08-07T05:32:11.421728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.08886","last_updated":"2024-05-14T18:05:19Z","snapshot_observed_at":"2026-07-06T18:14:24.964511Z","submitted_at":"2024-05-14T18:05:19Z","title":"The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks","version":1},"cited_work":{"arxiv_id":"2405.08886","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.08886","snapshot_observed_at":"2026-08-07T05:32:08.827076Z","title":"The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks","venue":"cs.LG","work_id":"b736293a-82db-4ac7-82e9-4dbd034ad4a0","year":2024},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:06.120673Z"},"links":{"cited_paper":"/paper/2405.08886","citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:455b637647369f3c57a7d031d91ff7477967e81863bd81250823703e166a94d8","observation_id":"cf13f4d8-ef05-47be-aade-8b88698748c1","resolution":{"observed_at":"2026-08-07T05:32:08.852313Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:11.094538Z","title":"and Colombo, N","venue":null,"work_id":"ccfb36fb-4954-4d10-8223-bb20a17faa1f","year":2024},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:06.184726Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:ed8aaaf3bee904ccab63633bfac8d5c4c0d238397d275fcace287031dcaf1c00","observation_id":"95c4a960-2c3f-4580-ac2e-384cc6cd8519","resolution":{"observed_at":"2026-08-07T05:32:11.181858Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:10.896590Z","title":"and Colombo, N","venue":null,"work_id":"ae7e3cca-2f85-4128-8d9e-fa76090408a7","year":2025},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:06.277017Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:a1bd346080bc4f4fc1667d80d25ed2492c839f910ae893283ca044e6cb45d82a","observation_id":"cc7b85f7-8f8d-4a02-9ced-4e4a7ca7b965","resolution":{"observed_at":"2026-08-07T05:32:10.995501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04407","last_updated":"2024-07-05T10:43:41Z","snapshot_observed_at":"2026-08-05T03:25:14.794221Z","submitted_at":"2024-07-05T10:43:41Z","title":"Trustworthy Classification through Rank-Based Conformal Prediction Sets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04407","snapshot_observed_at":"2026-08-07T05:32:06.327736Z","title":"and Zhou, Z","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:06.327736Z"},"links":{"cited_paper":"/paper/2407.04407","citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:b1a67241c13e89311694e3f3fc7b766107b10009b69f7aadaa7f9ac931e97c62","observation_id":"f5e059c5-51e9-4dcc-86b6-3c9dfefbe188","resolution":{"observed_at":"2026-08-07T05:32:06.327736Z","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":"2026-08-07T05:32:10.806830Z","title":"and Zhou, Z","venue":null,"work_id":"2b6b455c-7860-4129-9f19-812d914be15b","year":2025},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:06.395466Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:f04e5ed3c8749bccd4257df39914b0805e94e65cff20cc8d691361fc633f2c81","observation_id":"464b5b60-c7f2-4581-a89a-04d2c3cb7637","resolution":{"observed_at":"2026-08-07T05:32:10.840437Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:10.743835Z","title":"and Zhou, Z","venue":null,"work_id":"211cb055-1426-4e81-9237-d1cfe2899a00","year":2025},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:06.453140Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:1a036597ffe97df15a38be4f8bf34a703b57dd2952f002cce6f2b32c0ecc0755","observation_id":"276048e7-6a9c-424a-a111-d4df2fc9acfa","resolution":{"observed_at":"2026-08-07T05:32:10.769289Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07611","last_updated":"2025-04-10T10:01:06Z","snapshot_observed_at":"2026-08-07T16:06:54.644825Z","submitted_at":"2025-04-10T10:01:06Z","title":"Conditional Conformal Risk Adaptation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07611","snapshot_observed_at":"2026-08-07T05:32:06.506767Z","title":"and Zhou, Z","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:06.506767Z"},"links":{"cited_paper":"/paper/2504.07611","citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:b2baa82ddd718b13f9641f3f1a21e484e7bf609ba0b10f1a81d78c5a086c9797","observation_id":"621ed099-7503-46c8-9b97-f4266ea34833","resolution":{"observed_at":"2026-08-07T05:32:06.506767Z","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":"2026-08-07T05:32:10.611816Z","title":"and Zhou, Z","venue":null,"work_id":"b22377ab-4de0-4ab0-b95c-eb729f3c118d","year":2025},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:06.579063Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:d276b5899cf1fcada150869fa7a7eda47692023b0b68ec2d43f51d26fcc7afd0","observation_id":"18c9e544-a423-4327-974d-f094ea681e80","resolution":{"observed_at":"2026-08-07T05:32:10.667343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:10.531922Z","title":"and Zhou, Z","venue":null,"work_id":"842b22b5-29a2-423c-a743-1d28841b3b47","year":2025},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:06.646518Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:92f1d1bd72547c4d7087572e3ebcd804186640769b6cb45b3d141c7bd874adc8","observation_id":"9f7fc5f9-dae4-470d-8c8a-4568c59775af","resolution":{"observed_at":"2026-08-07T05:32:10.562672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.02205","last_updated":"2025-03-04T02:34:59Z","snapshot_observed_at":"2026-08-07T17:31:47.379844Z","submitted_at":"2025-03-04T02:34:59Z","title":"Volume-Sorted Prediction Set: Efficient Conformal Prediction for Multi-Target Regression","version":1},"cited_work":{"arxiv_id":"2503.02205","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.02205","snapshot_observed_at":"2026-08-07T05:32:08.655111Z","title":"Volume-Sorted Prediction Set: Efficient Conformal Prediction for Multi-Target Regression","venue":"cs.LG","work_id":"8efc885a-e4d6-414f-89e6-4f212fe697b0","year":2025},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:06.702633Z"},"links":{"cited_paper":"/paper/2503.02205","citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:af904bd31b1a3d9a5179dbb5c46b33cf16690a58f117210de161d8dc44f909a9","observation_id":"5e787ce3-ad7c-418a-81c6-a6da9742adae","resolution":{"observed_at":"2026-08-07T05:32:08.736850Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:10.408003Z","title":"Anomalous edge detection in edge exchangeable social network models","venue":null,"work_id":"d3937770-3ca2-4726-a7db-6351caab13db","year":2023},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:06.816817Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:33a8cac57a4af279048878ef0896abdd5dc8446098b7091c0d88cccf8dbcadbc","observation_id":"befea224-2f12-4050-a4d3-18fccc285d96","resolution":{"observed_at":"2026-08-07T05:32:10.489379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.04376","last_updated":"2025-03-04T04:56:21Z","snapshot_observed_at":"2026-07-06T19:46:28.260057Z","submitted_at":"2024-11-07T02:20:04Z","title":"Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.04376","snapshot_observed_at":"2026-08-07T05:32:06.931044Z","title":"Game-theoretic defenses for robust conformal prediction against adversarial attacks in medical imaging","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:06.931044Z"},"links":{"cited_paper":"/paper/2411.04376","citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:846962f1cedce3860b17d4f6bd6ac3bd925320b9dba23b9f2eea8c01b4b396c6","observation_id":"07d8ebb8-d4be-45ae-893a-a2d9092ccbc3","resolution":{"observed_at":"2026-08-07T05:32:06.931044Z","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":"2026-08-07T05:32:10.313427Z","title":"Towards deep learning models resistant to adversarial attacks","venue":null,"work_id":"c826ea6e-5e68-4776-9788-662c18aefcba","year":2017},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:07.039524Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:5358f8526d3e508d5696db15acd983a104303adeba27babe14f3598f6efd4826","observation_id":"f651d530-e96d-49c6-89cf-cc942d024b62","resolution":{"observed_at":"2026-08-07T05:32:10.343038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:10.243933Z","title":"D., and Razaviyayn, M","venue":null,"work_id":"04738b65-2b40-4dd8-8099-270181f9b617","year":2019},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:07.173266Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:fdfca40f69e732a01e2221df0de4d9ec9a78db576b6b24800f6aaeed383fbf2c","observation_id":"9590c20d-97af-4f76-8078-3ffa728dca06","resolution":{"observed_at":"2026-08-07T05:32:10.281682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:10.176849Z","title":"J., Hassani, H., and Cevher, V","venue":null,"work_id":"7fb85c94-9b4a-48bc-9d01-9bb1e3a9bb57","year":2024},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:07.278383Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:0ad52f8b185b2009c0b6edc8aa108df22a33b0ecf4669cce614ae1df1062fd52","observation_id":"494cbb4a-9e9c-4221-9a44-5f5368cae62a","resolution":{"observed_at":"2026-08-07T05:32:10.207663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:10.071268Z","title":"Classification with valid and adaptive coverage","venue":null,"work_id":"6d8c0e87-ae4b-4500-a426-9d2b6c147369","year":2020},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:07.392556Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:8ee379e27d9d4ba642a327e526e714b4a7880b9910a45997a126107aa58d24a2","observation_id":"599e1025-e21d-4615-90a6-ef5fdced23c9","resolution":{"observed_at":"2026-08-07T05:32:10.102149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:07.505591Z","title":"Least ambiguous set-valued classifiers with bounded error levels","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:07.505591Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:9c00d3c8452800e04291ecd6d40aa4da5522f3195eafce155fe0be098f7dd375","observation_id":"5d3dcb6b-2868-4080-b9d3-6f488e87a59e","resolution":{"observed_at":"2026-08-07T05:32:07.505591Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.09192","last_updated":"2022-05-06T14:45:56Z","snapshot_observed_at":"2026-07-06T11:59:01.339042Z","submitted_at":"2021-10-18T11:25:33Z","title":"Learning Optimal Conformal Classifiers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.09192","snapshot_observed_at":"2026-08-07T05:32:07.631863Z","title":"T., Doucet, A., et al","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:07.631863Z"},"links":{"cited_paper":"/paper/2110.09192","citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:b12d36c3ef5e0e51483c88b52bd6130d4d5cd8a7d628ed914adcad08527a9390","observation_id":"a3f98ec4-7e26-43f0-b79b-6cbaf2313b80","resolution":{"observed_at":"2026-08-07T05:32:07.631863Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.01558","last_updated":"2024-11-03T13:15:32Z","snapshot_observed_at":"2026-07-06T19:44:16.540551Z","submitted_at":"2024-11-03T13:15:32Z","title":"Adaptive Conformal Inference by Particle Filtering under Hidden Markov Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.01558","snapshot_observed_at":"2026-08-07T05:32:07.696102Z","title":"Adaptive conformal inference by particle filtering under hidden markov models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:07.696102Z"},"links":{"cited_paper":"/paper/2411.01558","citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:76e90eff72b28a97cb250f0dbb0548899fc13fda379e553fe1cbc2ec678fe472","observation_id":"648a470c-e970-4ef8-b891-a1d011e5be5f","resolution":{"observed_at":"2026-08-07T05:32:07.696102Z","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":"2026-08-07T05:32:09.966529Z","title":"Enhanced route planning with calibrated uncertainty set","venue":null,"work_id":"60e17d0b-e84c-46b7-bd92-13e6dd3b4ade","year":2025},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:07.745328Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:418b30b86bf4d4936ca9e39e41736591fffa652ae678af3f2f79f196558f0514","observation_id":"887424ac-a750-462c-b539-9f0f2423b55f","resolution":{"observed_at":"2026-08-07T05:32:09.997889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:09.859983Z","title":"Matching networks for one shot learning","venue":null,"work_id":"d324283f-95cc-457d-b1c2-2c4a32c4dc8e","year":2016},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:07.795243Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:33b1b5bd2091a6c716782e63ff5da396c3eaf416b34f73dd4be93f0fce3e7059","observation_id":"9cce481e-0495-4b7c-ba9f-c0064b636b57","resolution":{"observed_at":"2026-08-07T05:32:09.919919Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:09.772469Z","title":"Algorithmic learning in a random world, volume 29","venue":null,"work_id":"df2fd044-3e45-4b4e-a59a-5fd13fb777d5","year":2005},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:07.828585Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:d37bd3fafe93d5c12108c7113891c54e0e4e0da17b348b59bc56a6ea825826cb","observation_id":"f21e13ff-bf2a-44eb-9d55-49e92518bf1a","resolution":{"observed_at":"2026-08-07T05:32:09.807749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:09.709615Z","title":"Enhancing trustworthiness of graph neural networks with rank-based conformal training","venue":null,"work_id":"1c4e4373-fa47-43a3-ab94-a3bbc6065b43","year":2025},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:07.897960Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:a4d94a6eca186cd312225c7547aaddbc9253f1f003c8fb3a9573f78c466d6d95","observation_id":"18ffa5ad-12e2-4875-83ca-c50de1339637","resolution":{"observed_at":"2026-08-07T05:32:09.739552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:09.670454Z","title":"Improving adversarial robustness requires revisiting misclassified examples","venue":null,"work_id":"2360c683-a1aa-438d-acd2-a76ee55933e6","year":2019},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:07.943182Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:daf29e7b66c0861f447e18fa61507d378737f4024755c5f0f0521efe434495a7","observation_id":"6617d9ca-7131-4630-b33e-dc3b6f309c6c","resolution":{"observed_at":"2026-08-07T05:32:09.695050Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.19651","last_updated":"2024-04-30T15:49:01Z","snapshot_observed_at":"2026-07-06T18:07:43.612046Z","submitted_at":"2024-04-30T15:49:01Z","title":"Provably Robust Conformal Prediction with Improved Efficiency","version":1},"cited_work":{"arxiv_id":"2404.19651","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.19651","snapshot_observed_at":"2026-08-07T05:32:08.433390Z","title":"Provably Robust Conformal Prediction with Improved Efficiency","venue":"cs.LG","work_id":"c6417ccd-9bbd-4440-9fb5-7c54da0ffbbe","year":2024},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:07.995254Z"},"links":{"cited_paper":"/paper/2404.19651","citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:18c8cbc632c6cd195cc39921691e16842985a2844503ec4a80c683982a65c8a0","observation_id":"32cf022c-6710-4cf1-a621-c375aef3f27d","resolution":{"observed_at":"2026-08-07T05:32:08.496986Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.09165","last_updated":"2024-07-12T10:59:44Z","snapshot_observed_at":"2026-07-06T18:45:18.202250Z","submitted_at":"2024-07-12T10:59:44Z","title":"Robust Yet Efficient Conformal Prediction Sets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.09165","snapshot_observed_at":"2026-08-07T05:32:08.045536Z","title":"H., Akhondzadeh, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:08.045536Z"},"links":{"cited_paper":"/paper/2407.09165","citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:54a77d8f064ff51a860f7d157ce084f67fa4d5cae366cb67156fc63ed9429811","observation_id":"d49fec4b-a660-475f-a928-d262f2cd7eb3","resolution":{"observed_at":"2026-08-07T05:32:08.045536Z","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":"2026-08-07T05:32:09.553253Z","title":"Theoretically principled trade-off between robustness and accuracy","venue":null,"work_id":"96dbd3af-0921-4b90-a2f3-f64b9c5efa6f","year":2019},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:08.095401Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:98e7953e91dd9b05f6fc9c0ce8c49c5b87fca961521ef852ed5435647b06124e","observation_id":"14484154-8c7d-415d-9187-f356a65f680a","resolution":{"observed_at":"2026-08-07T05:32:09.626314Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:09.358485Z","title":"Deep neural network attacks and defense: The case of image classification","venue":null,"work_id":"30a607d0-0c16-4771-8e16-76c33e45ee26","year":2022},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:08.142828Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:c80ad084a4cc3b7f0bd11f9ca140330ce563ef54413b0d38ae1af3e595cc558c","observation_id":"412798c7-4c8e-47d2-8d32-bfcddd6eab68","resolution":{"observed_at":"2026-08-07T05:32:09.461356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:09.196925Z","title":"Attacks which do not kill training make adversarial learning stronger","venue":null,"work_id":"eff2c543-aa75-4542-8493-1f3079f8b3ca","year":2020},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:08.238720Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:68ac7ef9082e7fdf544c2dda663fb3720def28a3b53ebd0423c62bc02ce0d682","observation_id":"462ff4a5-53bd-4cbb-bb07-9967fe2b31c5","resolution":{"observed_at":"2026-08-07T05:32:09.284221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:32:09.093262Z","title":"Residual reweighted conformal prediction for graph neural networks","venue":null,"work_id":"2b21b487-5b4d-48da-9462-f450d3cd8932","year":2025},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:08.292783Z"},"links":{"citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:fa07730296e79885ab11e772b502f0e4fbd9cf3ff64859af17a865380b545de5","observation_id":"81eb0a48-ddde-416c-aaf5-2bf88b67629f","resolution":{"observed_at":"2026-08-07T05:32:09.132948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T05:22:14.760792Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability"},"reference_resolution":{"displayed":51,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":15,"verified_exact":4,"verified_fuzzy":32},"total_outbound_references":51},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2506.07804."}