{"as_of":"2026-08-22T03:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:02d30f45419fd6f3c1f74cd738319722f6fdd442f477be845ddf5b6575477dbb","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T23:56:40.224057Z","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":"2026-08-15T17:45:01.038574Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.11870","last_updated":"2025-03-21T09:59:30Z","snapshot_observed_at":"2026-08-22T01:15:19.913625Z","submitted_at":"2024-11-03T21:18:07Z","title":"Designing Robust Quantum Neural Networks via Optimized Circuit Metrics","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.11870","snapshot_observed_at":"2026-08-15T23:56:40.224057Z","title":"Designing robust quantum neural networks: Ex- ploring expressibility, entanglement, and control rotation gate selection for enhanced quantum models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.03378","last_updated":"2025-05-06T09:54:14Z","snapshot_observed_at":"2026-08-21T08:22:34.133496Z","submitted_at":"2025-05-06T09:54:14Z","title":"Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:40.224057Z"},"links":{"cited_paper":"/paper/2411.11870","citing_paper":"/paper/2505.03378"},"observation_digest":"sha256:b367bee135888f7d53cb43dc37b593d98cd186679d086a31fb4c345ca73d3c3b","observation_id":"6bf9a2b7-35d6-45a4-87ee-b0c71e7452b0","resolution":{"observed_at":"2026-08-15T23:56:40.224057Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.11870","last_updated":"2025-03-21T09:59:30Z","snapshot_observed_at":"2026-08-22T01:15:19.913625Z","submitted_at":"2024-11-03T21:18:07Z","title":"Designing Robust Quantum Neural Networks via Optimized Circuit Metrics","version":2},"cited_work":{"arxiv_id":"2411.11870","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.11870","snapshot_observed_at":"2026-08-15T17:45:01.038574Z","title":"Designing Robust Quantum Neural Networks via Optimized Circuit Metrics","venue":"quant-ph","work_id":"7c01fed0-9179-4991-9da8-0be4076fcf3b","year":2024},"citing_paper":{"arxiv_id":"2507.20537","last_updated":"2025-07-28T05:43:02Z","snapshot_observed_at":"2026-08-19T19:42:07.630603Z","submitted_at":"2025-07-28T05:43:02Z","title":"Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T17:45:00.649712Z"},"links":{"cited_paper":"/paper/2411.11870","citing_paper":"/paper/2507.20537"},"observation_digest":"sha256:c205bcf544c24b2cfea68fb541fa05e23168e57c85afabfbd0b6f3bdad095da6","observation_id":"39454b98-933f-42f6-9101-f8d284f21746","resolution":{"observed_at":"2026-08-15T17:45:01.046553Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.11870/citation-record","integrity":"/paper/2411.11870/integrity","json":"/paper/2411.11870/citation-record.json","paper":"/paper/2411.11870"},"outbound":[],"paper":{"arxiv_id":"2411.11870","last_updated":"2025-03-21T09:59:30Z","latest_version":2,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-22T01:15:19.913625Z","submitted_at":"2024-11-03T21:18:07Z","title":"Designing Robust Quantum Neural Networks via Optimized Circuit Metrics"},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.11870."}