{"as_of":"2026-08-09T14:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:058c864827d8f4cd09727389ec46ed4532d4cb6f1a8b95436b2f8c07440cb05e","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":"2026-08-09T06:31:02.800959+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":"2026-08-08T11:44:44.194206Z","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":"2026-05-24T02:33:47.769735Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.05446","last_updated":"2024-08-08T14:21:16Z","snapshot_observed_at":"2026-07-06T18:59:09.430784Z","submitted_at":"2024-08-08T14:21:16Z","title":"Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness","version":1},"cited_work":{"arxiv_id":"2408.05446","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.05446","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2408.05446 (2024)","venue":null,"work_id":"5e27ee8a-eb88-4d67-925b-eca692f549bc","year":2024},"citing_paper":{"arxiv_id":"2404.10370","last_updated":"2026-06-04T12:45:37Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-04-16T08:08:47Z","title":"Know Yourself Better: Diverse Object-Related Features Improve Open Set Recognition","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-24T02:29:38.678375Z"},"links":{"cited_paper":"/paper/2408.05446","citing_paper":"/paper/2404.10370"},"observation_digest":"sha256:3a861e3a3aa41f20885e70ae823558a2ae5641ad4587a977116325b80eb5edc9","observation_id":"867e89c7-e56b-4d12-b07f-8449a616b835","resolution":{"observed_at":"2026-05-24T02:33:47.773170Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05446","last_updated":"2024-08-08T14:21:16Z","snapshot_observed_at":"2026-07-06T18:59:09.430784Z","submitted_at":"2024-08-08T14:21:16Z","title":"Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05446","snapshot_observed_at":"2026-08-08T11:44:44.194206Z","title":"and Lakshminarayanan, B","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.07753","last_updated":"2025-02-11T18:27:27Z","snapshot_observed_at":"2026-08-08T14:51:46.857146Z","submitted_at":"2025-02-11T18:27:27Z","title":"Direct Ascent Synthesis: Revealing Hidden Generative Capabilities in Discriminative Models","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-08T11:44:44.194206Z"},"links":{"cited_paper":"/paper/2408.05446","citing_paper":"/paper/2502.07753"},"observation_digest":"sha256:82fb7951bed4e40cf73c710992ce2917ad91cb232610d3a4f422667f504c7cff","observation_id":"a9879aa4-0e7e-483c-93ad-e4d79c07ac27","resolution":{"observed_at":"2026-08-08T11:44:44.194206Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05446","last_updated":"2024-08-08T14:21:16Z","snapshot_observed_at":"2026-07-06T18:59:09.430784Z","submitted_at":"2024-08-08T14:21:16Z","title":"Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05446","snapshot_observed_at":"2026-08-07T01:02:21.136349Z","title":"Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.12454","last_updated":"2025-06-14T11:25:35Z","snapshot_observed_at":"2026-08-08T13:29:35.378148Z","submitted_at":"2025-06-14T11:25:35Z","title":"On the existence of consistent adversarial attacks in high-dimensional linear classification","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T01:02:21.136349Z"},"links":{"cited_paper":"/paper/2408.05446","citing_paper":"/paper/2506.12454"},"observation_digest":"sha256:70d86d8726c4dccc9f89e4995f2ada5bb850c9b96435fba1f17fd0de47fab4b4","observation_id":"670de751-932c-4b61-a4a3-edd104490f48","resolution":{"observed_at":"2026-08-07T01:02:21.136349Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05446","last_updated":"2024-08-08T14:21:16Z","snapshot_observed_at":"2026-07-06T18:59:09.430784Z","submitted_at":"2024-08-08T14:21:16Z","title":"Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05446","snapshot_observed_at":"2026-08-06T23:13:22.313275Z","title":"Ensemble Everything Everywhere","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.19882","last_updated":"2025-07-07T02:00:46Z","snapshot_observed_at":"2026-08-08T12:23:41.491036Z","submitted_at":"2025-06-24T02:19:30Z","title":"Position: Machine Learning Conferences Should Establish a \"Refutations and Critiques\" Track","version":3},"reference_index":101,"source":"arxiv_source","source_observed_at":"2026-08-06T23:13:22.313275Z"},"links":{"cited_paper":"/paper/2408.05446","citing_paper":"/paper/2506.19882"},"observation_digest":"sha256:3f80ce3e74e126354176d0cd6d796a9cada38088695a364fb8e775f8d3781fe0","observation_id":"036fc72d-2904-4b79-b835-6f616e69ff29","resolution":{"observed_at":"2026-08-06T23:13:22.313275Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2408.05446/citation-record","integrity":"/paper/2408.05446/integrity","json":"/paper/2408.05446/citation-record.json","paper":"/paper/2408.05446"},"outbound":[],"paper":{"arxiv_id":"2408.05446","last_updated":"2024-08-08T14:21:16Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T18:59:09.430784Z","submitted_at":"2024-08-08T14:21:16Z","title":"Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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:2408.05446."}