{"as_of":"2026-08-09T03:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c83790d3bf4ec816d2b018ccb328cae502a1a0a5bcbab73fc24f2e825d708691","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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":"2026-08-06T22:06:36.655535Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T23:47:27.132569Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2106.15023","last_updated":"2021-06-28T23:19:02Z","snapshot_observed_at":"2026-07-06T11:24:00.099154Z","submitted_at":"2021-06-28T23:19:02Z","title":"Evading Adversarial Example Detection Defenses with Orthogonal Projected Gradient Descent","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.15023","snapshot_observed_at":"2026-08-06T22:06:36.655535Z","title":"Evad- ing adversarial example detection defenses with orthogonal projected gradient descent,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.22722","last_updated":"2025-06-28T02:06:23Z","snapshot_observed_at":"2026-08-06T21:57:11.422697Z","submitted_at":"2025-06-28T02:06:23Z","title":"Kill Two Birds with One Stone! Trajectory enabled Unified Online Detection of Adversarial Examples and Backdoor Attacks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T22:06:36.655535Z"},"links":{"cited_paper":"/paper/2106.15023","citing_paper":"/paper/2506.22722"},"observation_digest":"sha256:05baf9c9d94a77092f0ec069d9dc51db87ce6a6d589ed767acd00915745f792c","observation_id":"b628b4b7-2f83-415f-83fa-cd1eab6f887d","resolution":{"observed_at":"2026-08-06T22:06:36.655535Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.15023","last_updated":"2021-06-28T23:19:02Z","snapshot_observed_at":"2026-07-06T11:24:00.099154Z","submitted_at":"2021-06-28T23:19:02Z","title":"Evading Adversarial Example Detection Defenses with Orthogonal Projected Gradient Descent","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.15023","snapshot_observed_at":"2026-08-06T19:31:00.800605Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.05441","last_updated":"2025-07-07T19:45:46Z","snapshot_observed_at":"2026-08-08T20:43:34.770646Z","submitted_at":"2025-07-07T19:45:46Z","title":"Adversarial Machine Learning Attacks on Financial Reporting via Maximum Violated Multi-Objective Attack","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T19:31:00.800605Z"},"links":{"cited_paper":"/paper/2106.15023","citing_paper":"/paper/2507.05441"},"observation_digest":"sha256:d625fce56c5d6564e8571d9916515625d4f875c380915c921bc7c5817b1ab46d","observation_id":"e9561ec4-4516-4264-ad64-9aac44697868","resolution":{"observed_at":"2026-08-06T19:31:00.800605Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.15023","last_updated":"2021-06-28T23:19:02Z","snapshot_observed_at":"2026-07-06T11:24:00.099154Z","submitted_at":"2021-06-28T23:19:02Z","title":"Evading Adversarial Example Detection Defenses with Orthogonal Projected Gradient Descent","version":1},"cited_work":{"arxiv_id":"2106.15023","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.15023","snapshot_observed_at":"2026-07-02T23:47:27.132569Z","title":"arXiv preprint arXiv:2106.15023 , year=","venue":null,"work_id":"3cdf393f-5053-4ab2-a494-00197e8ba663","year":null},"citing_paper":{"arxiv_id":"2605.04087","last_updated":"2026-04-23T19:32:27Z","snapshot_observed_at":"2026-07-06T23:16:54.673178Z","submitted_at":"2026-04-23T19:32:27Z","title":"BOOOM: Loss-Function-Agnostic Black-Box Optimization over Orthonormal Manifolds for Machine Learning and Statistical Inference","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-05-09T20:40:30.226201Z"},"links":{"cited_paper":"/paper/2106.15023","citing_paper":"/paper/2605.04087"},"observation_digest":"sha256:e62b8b1fd9cf2c63d3dd6ba3ba7de4f155ca116c9434fa0b6e82e28b1552c258","observation_id":"7e119b98-8c3f-4e78-861e-ea1a5208eb04","resolution":{"observed_at":"2026-05-11T15:01:09.472381Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.15023","last_updated":"2021-06-28T23:19:02Z","snapshot_observed_at":"2026-07-06T11:24:00.099154Z","submitted_at":"2021-06-28T23:19:02Z","title":"Evading Adversarial Example Detection Defenses with Orthogonal Projected Gradient Descent","version":1},"cited_work":{"arxiv_id":"2106.15023","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.15023","snapshot_observed_at":"2026-07-02T23:47:27.132569Z","title":"arXiv preprint arXiv:2106.15023 , year=","venue":null,"work_id":"3cdf393f-5053-4ab2-a494-00197e8ba663","year":null},"citing_paper":{"arxiv_id":"2607.00012","last_updated":"2026-05-08T10:35:13Z","snapshot_observed_at":"2026-08-04T21:03:13.172809Z","submitted_at":"2026-05-08T10:35:13Z","title":"PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-07-02T23:42:23.695930Z"},"links":{"cited_paper":"/paper/2106.15023","citing_paper":"/paper/2607.00012"},"observation_digest":"sha256:5fc8b41ab0d66d683bccc4686cc49f6909ca5506005faab84f219d02b44a85c8","observation_id":"86b7d648-c67d-4ab5-a06f-3f9a9d58d819","resolution":{"observed_at":"2026-07-02T23:47:27.134201Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2106.15023/citation-record","integrity":"/paper/2106.15023/integrity","json":"/paper/2106.15023/citation-record.json","paper":"/paper/2106.15023"},"outbound":[],"paper":{"arxiv_id":"2106.15023","last_updated":"2021-06-28T23:19:02Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T11:24:00.099154Z","submitted_at":"2021-06-28T23:19:02Z","title":"Evading Adversarial Example Detection Defenses with Orthogonal Projected Gradient Descent"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2106.15023."}