{"as_of":"2026-08-08T23:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5710108565443fff9a22deb474316bd24dd22b082dea74f2583465355cc4d434","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T23:24:49.073715Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T23:24:49.613392Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2111.08429","last_updated":"2021-11-16T13:06:31Z","snapshot_observed_at":"2026-07-06T12:09:00.789234Z","submitted_at":"2021-11-16T13:06:31Z","title":"An Overview of Backdoor Attacks Against Deep Neural Networks and Possible Defences","version":1},"cited_work":{"arxiv_id":"2111.08429","doi":null,"metadata_source":"pith","pith_arxiv_id":"2111.08429","snapshot_observed_at":"2026-08-05T23:24:49.613392Z","title":"An Overview of Backdoor Attacks Against Deep Neural Networks and Possible Defences","venue":"cs.CR","work_id":"d1e195c3-0f94-4a32-90c4-11af91886605","year":2021},"citing_paper":{"arxiv_id":"2508.05409","last_updated":"2025-08-07T14:02:34Z","snapshot_observed_at":"2026-08-05T23:24:41.370139Z","submitted_at":"2025-08-07T14:02:34Z","title":"From Detection to Correction: Backdoor-Resilient Face Recognition via Vision-Language Trigger Detection and Noise-Based Neutralization","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-05T23:24:49.073715Z"},"links":{"cited_paper":"/paper/2111.08429","citing_paper":"/paper/2508.05409"},"observation_digest":"sha256:a59ac19c07962562c9b766dc3bbfc8e0c9615e352d870b7ae2ab567960258dea","observation_id":"dd9350f6-b456-4bae-82ac-2aaa7966ac09","resolution":{"observed_at":"2026-08-05T23:24:49.618270Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2111.08429/citation-record","integrity":"/paper/2111.08429/integrity","json":"/paper/2111.08429/citation-record.json","paper":"/paper/2111.08429"},"outbound":[],"paper":{"arxiv_id":"2111.08429","last_updated":"2021-11-16T13:06:31Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-07-06T12:09:00.789234Z","submitted_at":"2021-11-16T13:06:31Z","title":"An Overview of Backdoor Attacks Against Deep Neural Networks and Possible Defences"},"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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2111.08429."}