{"as_of":"2026-08-17T13:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b3c4593cc275a48608e724666894baa93738f3677e2b1b75bd0255ba1ed03025","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:30:12.816800Z","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":"2026-07-03T21:58:58.829152Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.08801","last_updated":"2024-05-15T17:46:34Z","snapshot_observed_at":"2026-08-16T13:52:43.566230Z","submitted_at":"2024-05-14T17:49:18Z","title":"Prospects of Privacy Advantage in Quantum Machine Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.08801","snapshot_observed_at":"2026-08-12T21:00:12.193154Z","title":", author Kumar, N","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.10487","last_updated":"2024-12-17T02:15:28Z","snapshot_observed_at":"2026-08-16T16:19:38.393985Z","submitted_at":"2024-11-14T05:09:07Z","title":"Architectural Patterns for Designing Quantum Artificial Intelligence Systems","version":3},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-12T21:00:12.193154Z"},"links":{"cited_paper":"/paper/2405.08801","citing_paper":"/paper/2411.10487"},"observation_digest":"sha256:104f697f2906a4887b69301348e91bcb0913b76177a6cd3d5ff05aacb3e01e94","observation_id":"ecbe6d6e-0470-4dcc-92b3-a01bbe995012","resolution":{"observed_at":"2026-08-12T21:00:12.193154Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.08801","last_updated":"2024-05-15T17:46:34Z","snapshot_observed_at":"2026-08-16T13:52:43.566230Z","submitted_at":"2024-05-14T17:49:18Z","title":"Prospects of Privacy Advantage in Quantum Machine Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.08801","snapshot_observed_at":"2026-08-16T12:30:12.816800Z","title":"Prospects of privacy advantage in quantum machine learning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-17T11:52:50.024869Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.816800Z"},"links":{"cited_paper":"/paper/2405.08801","citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:81d4a0ff30dcf2188628ca3223c0de0cd4b9a8e31eec9a00d71f5fccb1e9bde3","observation_id":"1dccd8a4-39b4-4b91-91e3-ca0953f2d169","resolution":{"observed_at":"2026-08-16T12:30:12.816800Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.08801","last_updated":"2024-05-15T17:46:34Z","snapshot_observed_at":"2026-08-16T13:52:43.566230Z","submitted_at":"2024-05-14T17:49:18Z","title":"Prospects of Privacy Advantage in Quantum Machine Learning","version":2},"cited_work":{"arxiv_id":"2405.08801","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.08801","snapshot_observed_at":"2026-07-03T21:58:58.829152Z","title":"Heredge, N","venue":null,"work_id":"dd1f94af-1db8-4b2f-944b-25196e499b67","year":2024},"citing_paper":{"arxiv_id":"2606.18515","last_updated":"2026-06-16T22:07:17Z","snapshot_observed_at":"2026-08-14T11:06:33.816091Z","submitted_at":"2026-06-16T22:07:17Z","title":"Exponentially many initializations to avoid barren plateaus","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-26T23:57:38.670444Z"},"links":{"cited_paper":"/paper/2405.08801","citing_paper":"/paper/2606.18515"},"observation_digest":"sha256:1737dd0b5d704b533889530a069670815504b8bed73a5dfa4cbb5c2a91b2e625","observation_id":"9a54e842-703e-44ba-b3c7-fe6b69cccf2d","resolution":{"observed_at":"2026-07-03T21:58:58.830750Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2405.08801/citation-record","integrity":"/paper/2405.08801/integrity","json":"/paper/2405.08801/citation-record.json","paper":"/paper/2405.08801"},"outbound":[],"paper":{"arxiv_id":"2405.08801","last_updated":"2024-05-15T17:46:34Z","latest_version":2,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-16T13:52:43.566230Z","submitted_at":"2024-05-14T17:49:18Z","title":"Prospects of Privacy Advantage in Quantum Machine Learning"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.08801."}