{"as_of":"2026-08-17T05:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:328ab189c1d3eba79e7ed6a0f64cf90bf705599d5db1aff67f513b434109f816","coverage":[{"denominator":91,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":91,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:30:12.966308Z","state":"measured"},{"denominator":92,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":92,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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":"2026-05-20T22:26:40.181507Z","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":"2026-05-20T22:29:09.550003Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"cited_work":{"arxiv_id":"2504.12806","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.12806","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Papadopoulos, S","venue":null,"work_id":"d03fb892-396b-4b4c-adcd-5c842ada5d92","year":2025},"citing_paper":{"arxiv_id":"2605.18821","last_updated":"2026-05-12T14:41:20Z","snapshot_observed_at":"2026-08-03T23:46:53.038089Z","submitted_at":"2026-05-12T14:41:20Z","title":"Quantum Adversarial Machine Learning: From Classical Adaptations to Quantum-Native Methods","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-20T22:26:40.181507Z"},"links":{"cited_paper":"/paper/2504.12806","citing_paper":"/paper/2605.18821"},"observation_digest":"sha256:6e20fe4062b735ff7b3770fb2b95cac434233f852e5ba1d2124dc8a497502097","observation_id":"2b95bedd-8c0d-48b5-b3cc-73cb43fa37d9","resolution":{"observed_at":"2026-05-20T22:29:09.553239Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2504.12806/citation-record","integrity":"/paper/2504.12806/integrity","json":"/paper/2504.12806/citation-record.json","paper":"/paper/2504.12806"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.506617Z","title":"The future of quantum computing with superconducting qubits,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.506617Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:d3e50d2e35c6fa1a550f4144d301e054aaaf7d2856bee56fc9bd6b1c7055d70a","observation_id":"c62e4776-bcad-4224-9d73-0e051575fc9d","resolution":{"observed_at":"2026-08-16T12:30:12.506617Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.511622Z","title":"Nisq computing: where are we and where do we go?","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.511622Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:62f64b2406b8e21da79c98e27a791ef5bf79bf2d3efa09fd56d2ef83744cb7d0","observation_id":"20f3907d-3a9b-4d31-8f03-63abdd648dd3","resolution":{"observed_at":"2026-08-16T12:30:12.511622Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.516716Z","title":"Recent advances in quantum computing for drug discovery and development,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.516716Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:c3fe4e5364a9342d5252e58fe8d5891b4fbb87c8c4c4337c0c46740869ef7e21","observation_id":"bc3f7d2c-8e64-4887-9d39-7f73d6a5b811","resolution":{"observed_at":"2026-08-16T12:30:12.516716Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.521214Z","title":"Advancements in quantum computing—viewpoint: Building adoption and competency in industry,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.521214Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:73af893e6dd360f254cc6eb997dfa1196711f1db60707108989a336291ff7ed3","observation_id":"a2e6549e-152d-46f5-8d80-c36a4a12bee7","resolution":{"observed_at":"2026-08-16T12:30:12.521214Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.525403Z","title":"Interferometric single-shot parity measurement in inas–al hybrid devices,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.525403Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:27df46c035d3e63501f1922e9b47b38bcabe440e974591029baceeb837afc948","observation_id":"632dc074-21dc-4a5c-99b8-98e200ac901f","resolution":{"observed_at":"2026-08-16T12:30:12.525403Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.530668Z","title":"Certified randomness using a trapped-ion quantum processor,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.530668Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:2e897fa57973e95feca48f738d424623aa23fc58230d04b9c3cc14c6a7ea9cbb","observation_id":"26a6c625-96f3-40f6-b718-3b5f0a98ce8c","resolution":{"observed_at":"2026-08-16T12:30:12.530668Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.535933Z","title":"Quantum support vector machine for big data classification,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.535933Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:82b23f6b784cf71251f5100694472dd34a702510d8f04fceedd0592682b710ef","observation_id":"2b43a668-6063-4449-a769-fde5d3f9be21","resolution":{"observed_at":"2026-08-16T12:30:12.535933Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.540676Z","title":"Training deep quantum neural networks,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.540676Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:19cf323a9e2aca2637175a5c96570a63a5969bf9315f7928b960ec6a4be1ea34","observation_id":"44e5a812-9b7a-466a-be47-fda9462d15e1","resolution":{"observed_at":"2026-08-16T12:30:12.540676Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.544695Z","title":"Experimental quantum speed-up in reinforcement learning agents,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.544695Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:95521b7107261001b01c1b7a563d02c19fda14a62bf51cc2844e1c3d227c50e4","observation_id":"1fc78d65-198a-4273-b111-e01ef3533153","resolution":{"observed_at":"2026-08-16T12:30:12.544695Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"9619.33269","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:13.875418Z","title":"Meta-genetic programming for static quantum circuits,","venue":null,"work_id":"b6ff0c2e-a1dd-458e-9086-e4524ee1e6cf","year":2019},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.548887Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:db88ac087074d783ae7a1dfe2e0eea93d59cc0dd3b3fb95b21f17187bbe955fa","observation_id":"578a9019-aa77-4a4e-8c7a-2abdd99a1cb8","resolution":{"observed_at":"2026-08-16T12:30:13.882442Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.02871","last_updated":"2024-11-30T22:31:53Z","snapshot_observed_at":"2026-08-16T14:12:42.027910Z","submitted_at":"2024-03-05T11:29:05Z","title":"Quantum Mixed-State Self-Attention Network","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.02871","snapshot_observed_at":"2026-08-16T12:30:12.553691Z","title":"Quantum mixed-state self-attention network,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.553691Z"},"links":{"cited_paper":"/paper/2403.02871","citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:933b42a21a48e15fad1cd5d488b19f5052589e7f0b65d6d408cdbf66f8bca5b4","observation_id":"f0eba5b2-69cf-4091-8dd1-3be50d3556ec","resolution":{"observed_at":"2026-08-16T12:30:12.553691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.11020","last_updated":"2021-04-17T07:29:07Z","snapshot_observed_at":"2026-08-16T18:49:49.818172Z","submitted_at":"2021-01-26T19:00:04Z","title":"Supervised quantum machine learning models are kernel methods","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.11020","snapshot_observed_at":"2026-08-16T12:30:12.559177Z","title":"Supervised quantum machine learning models are kernel methods,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.559177Z"},"links":{"cited_paper":"/paper/2101.11020","citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:af6de6e6c8152f2e9cc791108e62333c6e6389a38cc0d805f6f70d246cba393f","observation_id":"5ff4c36c-e9ad-4679-a53c-d0ba929040ce","resolution":{"observed_at":"2026-08-16T12:30:12.559177Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.564085Z","title":"Quantum circuit architecture search for variational quantum algorithms,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.564085Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:8164ad80a988e02efa62dcc48f0126fcda8bb113635d0583e9433560d7fb77e2","observation_id":"e4082d12-cff7-4696-aa70-aac597802bfd","resolution":{"observed_at":"2026-08-16T12:30:12.564085Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.568610Z","title":"Variational quantum algorithms,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.568610Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:f7910d0b4fdcd5e1f7044b5201b19330a609cae41868bbb5ea3df7123bb9942d","observation_id":"4dd0f36e-c524-4fa0-83c3-d69cf6248115","resolution":{"observed_at":"2026-08-16T12:30:12.568610Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.573250Z","title":"Eval- uating analytic gradients on quantum hardware,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.573250Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:820d6591136c700eae6ed92d72b86383b0361e76b7dc21544722456bbe1bd0a9","observation_id":"9062dedf-633c-4059-96ae-152d5c023a3d","resolution":{"observed_at":"2026-08-16T12:30:12.573250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41598-025-88177-z","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:13.248971Z","title":"Hybrid quantum neural networks show strongly reduced need for free parameters in entity matching,","venue":null,"work_id":"c6c769cd-8651-4fea-95c7-ca54b02d34f0","year":2025},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.577610Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:fe523550594d35fa0df224a141ee1883937b7feb2fabb0df2136f0ee30f44903","observation_id":"bdf89fcf-19b0-492c-a016-b5ec7aefc2c0","resolution":{"observed_at":"2026-08-16T12:30:13.253584Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.582643Z","title":"Challenges and opportunities in quantum machine learning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.582643Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:368506d3b2a0ed726906aaef1a51f03a36b42519dcae9e5a881d00feb79ee184","observation_id":"d59c030b-ded0-46b5-87ea-ec979be54a9c","resolution":{"observed_at":"2026-08-16T12:30:12.582643Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.587696Z","title":"Quantum machine learning in high energy physics,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.587696Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:bbc4e71e727036f72f1b5d916b724080e40d0a79f5ce31daa6220753dbde2ce5","observation_id":"b9718c2c-9711-40aa-a650-a5174374c98f","resolution":{"observed_at":"2026-08-16T12:30:12.587696Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.599262Z","title":"Practical application of quantum neural network to materials informatics,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.599262Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:0ed9b728ccf9ee58374f77e51ce87bf39ce89a74157c1a1845c62978297ce108","observation_id":"ea46d23b-801b-4654-ae5d-bfd5ad9f8079","resolution":{"observed_at":"2026-08-16T12:30:12.599262Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.603641Z","title":"Quantum machine learning for chemistry and physics,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.603641Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:4d6668ee7a033d44720d408975cc214e4d2255b24461cdcc6d670d2698b43804","observation_id":"db085cd8-62c2-406f-825d-754a34e1079a","resolution":{"observed_at":"2026-08-16T12:30:12.603641Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.608111Z","title":"Barren plateaus in quantum neural network training landscapes,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.608111Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:1b8da7a524593a0f5d06b07dda8045f00e71421f05849e5123497d6a2b1e430d","observation_id":"8a060bd0-ab1e-4765-a881-0926250af29d","resolution":{"observed_at":"2026-08-16T12:30:12.608111Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.612775Z","title":"Barren plateaus in variational quantum computing,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.612775Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:d2afa7450ddada51f86b50326cab7ae735a145025ee141ac44a12cd236711bcd","observation_id":"fab09ab8-4378-406b-bb3f-e022844b1399","resolution":{"observed_at":"2026-08-16T12:30:12.612775Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.617252Z","title":"Avoiding local minima in variational quantum eigensolvers with the natural gradient optimizer,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.617252Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:26b0474dabcf7d2f081c423a91756f3b16b25af940b4e5cee73d8a9c791d87c4","observation_id":"69126b4d-8d67-476d-98dc-3d39a2538cdd","resolution":{"observed_at":"2026-08-16T12:30:12.617252Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.621766Z","title":"Adam: A method for stochastic optimization,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.621766Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:116ee57a3a0415f40105d64ca68e9c2a5d0a3423ca67cb5feff414c7529b7e5e","observation_id":"a480169d-add9-4d93-adaa-a1934fc68e6d","resolution":{"observed_at":"2026-08-16T12:30:12.621766Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.630627Z","title":"On the limited memory bfgs method for large scale optimization,","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.630627Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:7f6504a426b1d1d15f203ea1c47fc2e2bd82ea532ca676e9dd6231ef1c458a40","observation_id":"84b2b374-3f86-48bb-a2d0-0be0bd19d381","resolution":{"observed_at":"2026-08-16T12:30:12.630627Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.634188Z","title":"Natural gradient works efficiently in learning,","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.634188Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:00f169236b1523cbdf74d00e8da3b6639710acba558ea8464a62afc99f589927","observation_id":"7180b6f1-702d-43e8-865d-d49899649480","resolution":{"observed_at":"2026-08-16T12:30:12.634188Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.13002","last_updated":"2023-09-25T16:11:56Z","snapshot_observed_at":"2026-08-16T14:58:22.529955Z","submitted_at":"2023-09-22T17:04:50Z","title":"Expressive variational quantum circuits provide inherent privacy in federated learning","version":2},"cited_work":{"arxiv_id":"2309.13002","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.13002","snapshot_observed_at":"2026-08-16T12:30:13.760641Z","title":"Expressive variational quantum circuits provide inherent privacy in federated learning","venue":"quant-ph","work_id":"e738974a-2156-4363-8026-f9e674e54d37","year":2023},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.637532Z"},"links":{"cited_paper":"/paper/2309.13002","citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:9a8e96798ff52fd6e671c5631e7a5530f0a152a545fb251c53346b0ea5faf6d5","observation_id":"10ebb72f-9782-4738-8b85-c86e087457ee","resolution":{"observed_at":"2026-08-16T12:30:13.765645Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physrevresearch.6.023020","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:13.168560Z","title":"Enhancing quantum adversarial robustness by randomized encodings,","venue":null,"work_id":"6ad21d00-f7ad-4548-91ca-bc487981e40f","year":2024},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.641568Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:10ba2a195ce19b5a7551f8f9add53e002ba5bcb321369bee975161e81d5154d4","observation_id":"56080f73-c415-4844-820f-67a70e79e2fc","resolution":{"observed_at":"2026-08-16T12:30:13.173340Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:14.414173Z","title":"Bridging quantum computing and differential privacy: Insights into quantum computing privacy,","venue":null,"work_id":"7902f9ac-7cac-47bf-84ac-49c28c321fa8","year":2024},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.645275Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:addf9c1663f48a68bbc165805f242de9af048248653b3e11519d0e74bda8daa7","observation_id":"db940a24-da18-4e55-aae5-69eb68462416","resolution":{"observed_at":"2026-08-16T12:30:14.418682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:14.400766Z","title":"Communication-Efficient Learning of Deep Networks from Decentralized Data,","venue":null,"work_id":"f2b0e418-a980-4749-bd09-a3293709ae91","year":2017},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.648546Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:8a07d173aa09d10e57a96834e51ec06d5539987a287e933e8c0f911648d74eef","observation_id":"392544a2-6a3e-43e7-940c-0bb07ef2e9da","resolution":{"observed_at":"2026-08-16T12:30:14.405128Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16465","last_updated":"2024-02-26T10:16:21Z","snapshot_observed_at":"2026-08-16T14:15:22.151482Z","submitted_at":"2024-02-26T10:16:21Z","title":"Training Classical Neural Networks by Quantum Machine Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16465","snapshot_observed_at":"2026-08-16T12:30:12.652967Z","title":"Training classical neural networks by 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":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.652967Z"},"links":{"cited_paper":"/paper/2402.16465","citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:414c199786c416574101fb3d718477741c52502a99d3a471645896dd134d482b","observation_id":"74e258cb-4960-4e76-8338-bbf4c1d7d9b5","resolution":{"observed_at":"2026-08-16T12:30:12.652967Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.11449","last_updated":"2022-09-25T11:55:09Z","snapshot_observed_at":"2026-08-16T16:43:54.334844Z","submitted_at":"2022-07-23T07:28:23Z","title":"Generating quantum feature maps for SVM classifier","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.11449","snapshot_observed_at":"2026-08-16T12:30:12.658301Z","title":"Generating quantum feature maps for svm classifier,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.658301Z"},"links":{"cited_paper":"/paper/2207.11449","citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:360891d67e4b36ba4f7480814d3f1937f1ba16b98c1a76bd5702a09a82865ba1","observation_id":"60167e0a-5bc2-4aca-aedc-357480f4d44e","resolution":{"observed_at":"2026-08-16T12:30:12.658301Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10274","last_updated":"2025-01-16T12:45:17Z","snapshot_observed_at":"2026-08-16T13:25:51.662827Z","submitted_at":"2024-08-17T10:53:06Z","title":"Benchmarking quantum machine learning kernel training for classification tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10274","snapshot_observed_at":"2026-08-16T12:30:12.663284Z","title":"Benchmarking quantum machine learning kernel training for classification tasks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.663284Z"},"links":{"cited_paper":"/paper/2408.10274","citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:56876b4df1546334ae8b8f3ae3efd4a539ae99beb1d273661854f9a7ed26abbc","observation_id":"7737f6fa-5d3c-4626-b9b6-204891f4e358","resolution":{"observed_at":"2026-08-16T12:30:12.663284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.667888Z","title":"Oppor- tunities of federated learning in connected, cooperative, and automated industrial systems,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.667888Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:f96b34a475da2cc32b9543222fe5fffa15ba7f84d62f16e6efd9296441cc2e80","observation_id":"ebf19615-95a2-4c3d-ba81-f87a1768b57c","resolution":{"observed_at":"2026-08-16T12:30:12.667888Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:14.379381Z","title":"Real-time end-to-end federated learning: An automotive case study,","venue":null,"work_id":"f28b2e91-a927-409b-8b5f-c0b06030a417","year":2021},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.673002Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:6b31774e17a53c15be504f8bb09a38306234dd9748abb4c619dcdead99a3e5c7","observation_id":"5e512a09-7362-4d27-8676-425e364fa0c4","resolution":{"observed_at":"2026-08-16T12:30:14.383031Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.678107Z","title":"A profit-maximizing data marketplace with differentially private federated learning under price competition,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.678107Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:c114a70ac496a919325e99c2e4c735329293c24e22549279978028c58c5dd82c","observation_id":"cc83b625-dfc4-4736-98a4-53954c0e4830","resolution":{"observed_at":"2026-08-16T12:30:12.678107Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:14.366977Z","title":"Alphafold is running out of data - so drug firms are building their own version,","venue":null,"work_id":"61720627-ed63-46a1-96bd-24d74cbcb8a1","year":2025},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.684623Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:a2860afe514d65241c4d64403d69d639a68fb5fdf92d1e36969d4c6c244d15ec","observation_id":"434bf21c-f2dc-4e90-b008-e7cd7e481139","resolution":{"observed_at":"2026-08-16T12:30:14.370848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:14.346187Z","title":"A survey on federated learning systems: Vision, hype and reality for data privacy and protection,","venue":null,"work_id":"cba294af-e712-49f3-8e75-f4ea5ab50eea","year":2023},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.689343Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:554c444ffebea22bf01f16e385b41649e3dc53de5d19b1e8846b6b4159a3754c","observation_id":"d0348573-1dee-4a87-b4c9-8c1e1e6f49a5","resolution":{"observed_at":"2026-08-16T12:30:14.353193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:14.330565Z","title":"Model aggregation techniques in federated learning: A comprehensive survey,","venue":null,"work_id":"7e9ed555-5a05-4367-be9e-c3b3bf4e2c5c","year":2024},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.695229Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:0e5465f17a5aea921d8f110873775e07aaa4e916421877445b77f493e4057533","observation_id":"b1a57994-0d37-4000-8070-99d34ebc719a","resolution":{"observed_at":"2026-08-16T12:30:14.336082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:14.314000Z","title":"Threats to federated learning: A survey,","venue":null,"work_id":"947b0ae0-9979-4fe3-943b-5b9a6d62e352","year":null},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.700831Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:79d5c4a523219b90ef8d6ea467fdf5eb27ac02a9c4bd3adb6fbcf767aac0c1ea","observation_id":"76c8bedc-bde6-426b-886b-e03b99716f9a","resolution":{"observed_at":"2026-08-16T12:30:14.320943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.714824Z","title":"Federated learning with differential privacy: Algorithms and performance analysis,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.714824Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:b514dccc6fb20cfd0874196704418177f4ef877bb57b37189029ec3fc3871874","observation_id":"5f3bc98d-d19b-4c2c-a542-c10c8c47c57d","resolution":{"observed_at":"2026-08-16T12:30:12.714824Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:14.289723Z","title":"A survey on security and privacy of federated learning,","venue":null,"work_id":"864b919d-c400-400b-8871-fb18b7fbac31","year":2021},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.721202Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:9563569ee0c094e0189eaef7de827607b868e34f3db6a576be8edccc3aaf21f7","observation_id":"011dfe58-ac62-400d-a23f-7145cde75864","resolution":{"observed_at":"2026-08-16T12:30:14.294346Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.08935","last_updated":"2019-12-19T05:09:29Z","snapshot_observed_at":"2026-08-14T16:12:44.382531Z","submitted_at":"2019-06-21T03:46:43Z","title":"Deep Leakage from Gradients","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.08935","snapshot_observed_at":"2026-08-16T12:30:12.725959Z","title":"Deep leakage from gradients,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.725959Z"},"links":{"cited_paper":"/paper/1906.08935","citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:eb48b4be3a1ee426a1a6c121013fab1d50a3f536766d3426a57eede77af7ec3c","observation_id":"73a7121c-62dd-449d-a4a8-3cfd85d2cb57","resolution":{"observed_at":"2026-08-16T12:30:12.725959Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.14053","last_updated":"2020-09-11T11:41:10Z","snapshot_observed_at":"2026-08-15T06:18:22.062863Z","submitted_at":"2020-03-31T09:35:02Z","title":"Inverting Gradients -- How easy is it to break privacy in federated learning?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.14053","snapshot_observed_at":"2026-08-16T12:30:12.730708Z","title":"Inverting gradients - how easy is it to break privacy in federated learning?","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.730708Z"},"links":{"cited_paper":"/paper/2003.14053","citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:d8bd4e7841caecb05ec2309d8c8dd8e60ce6a4ddc58b7aeb61585b992ccd72f1","observation_id":"1a9b9164-61de-4beb-8451-618c0f915957","resolution":{"observed_at":"2026-08-16T12:30:12.730708Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:14.275588Z","title":"Mixing gradients in neural networks as a strategy to enhance privacy in federated learning,","venue":null,"work_id":"9b98c839-1d19-4cff-975d-06d182d59be0","year":2024},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.738547Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:db6a4f5c2add6b5c46a396e20a0f34423153a3d4d7e9402dea382a25b9bc565f","observation_id":"510ffcd7-2698-4aca-aa09-1d997d4bd917","resolution":{"observed_at":"2026-08-16T12:30:14.280356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:14.258693Z","title":"Inverting gradients - how easy is it to break privacy in federated learning?","venue":null,"work_id":"2db55dbb-2580-40fe-a42a-c661042256a1","year":2020},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.742610Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:e2d5b3e50287268bd3cd20df6384ea0e62c1a3aba4ec78618dcadd6c52041f8e","observation_id":"e5094306-2655-46f1-ab0a-d9508bf6043c","resolution":{"observed_at":"2026-08-16T12:30:14.264572Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:14.242229Z","title":"See through gradients: Image batch recovery via gradinversion,","venue":null,"work_id":"afad027c-1302-4c8e-aaf0-b53720587a51","year":2021},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.747577Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:2a0c15cb57f6cd047db38584ab248a3a28346350c0538622850a3f30c7ee0e7a","observation_id":"e1a622d9-5e2e-4d75-b465-a44b18036142","resolution":{"observed_at":"2026-08-16T12:30:14.247600Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:14.221997Z","title":"The secret revealer: Generative model-inversion attacks against deep neural networks,","venue":null,"work_id":"4c85fd0c-53dd-4a6b-9a31-2412649667bb","year":2020},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.753188Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:e68ae6491e56db30491919ba8beb91aa467447e869e4b3b5a1c88451097d4c55","observation_id":"5b6e9863-fc87-4ecb-a7be-6df4f269629e","resolution":{"observed_at":"2026-08-16T12:30:14.228272Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:14.206078Z","title":"An analysis of the vulnerability of two common deep learning- based medical image segmentation techniques to model inversion attacks,","venue":null,"work_id":"442c55a5-1f45-4e90-9d33-184e04ef9df0","year":2021},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.758375Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:d2467fd5e0737380af39adc30f5c982cfce94017d9acc8a9d2ed028f3453482c","observation_id":"cf14fe5a-77ba-4ff9-a18e-eb5346763400","resolution":{"observed_at":"2026-08-16T12:30:14.211936Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:14.190363Z","title":"Model inversion attacks against graph neural networks,","venue":null,"work_id":"189add3a-17f8-4046-a957-83ee2ea64452","year":2023},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.762804Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:642700bbe0cc64b8e968332618208a4bc513264849f6ecb1f95e08fe81736909","observation_id":"d1e53862-5259-4ec0-8ca2-8731754beb91","resolution":{"observed_at":"2026-08-16T12:30:14.194360Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.767546Z","title":"Model inversion attacks that exploit confidence information and basic countermeasures,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.767546Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:9231cb7f2840ccb53aeec39c0bccc0db6e0d5559981bc182c99ac310d3cbff6a","observation_id":"ab2355a7-d568-4d56-929b-4a4496a963de","resolution":{"observed_at":"2026-08-16T12:30:12.767546Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:14.176729Z","title":"BatchCrypt: Efficient homomorphic encryption for Cross-Silo federated learning,","venue":null,"work_id":"fdf1aee4-3507-4532-945d-e23b7c01d01f","year":2020},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.771824Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:15cb5d7f67dc2d48c4bb5e40c30f02122ee4fe8c007f9ee682c11e5246c6a5e0","observation_id":"36af8db0-e3f2-46c2-89a0-8546a36b8163","resolution":{"observed_at":"2026-08-16T12:30:14.181059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:14.162024Z","title":"Ho- momorphic encryption-based privacy-preserving federated learning in iot-enabled healthcare system,","venue":null,"work_id":"f8001ef3-b47f-4479-9a73-3059b69a5bbf","year":2023},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.777665Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:36f8fa8640bdafe3beb3c477fe4f0daf06efd50c60020893a2dec2115f7aa73d","observation_id":"6d0a446c-ae6d-47d4-a8be-449649161420","resolution":{"observed_at":"2026-08-16T12:30:14.167495Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.782266Z","title":"Privacy-preserving federated learning based on multi-key homomorphic encryption,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.782266Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:9a6ba3dd23cf7eed000af006657b63c8a4e8353bb74d1d123e4405e053a53fc1","observation_id":"ec080438-c2f9-473a-a270-8181672e890a","resolution":{"observed_at":"2026-08-16T12:30:12.782266Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1088/2058-9565/ad40cc","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:13.128814Z","title":"Privacy- preserving quantum federated learning via gradient hiding,","venue":null,"work_id":"3a7daea2-35eb-4170-841c-928736b08f60","year":2024},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.786951Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:b4456153f50d0afbcc030adee3d1306a3eba39a2b84707d9aaf84d9228b8bcb0","observation_id":"845f4234-e332-4597-ad2f-4e584fd5e604","resolution":{"observed_at":"2026-08-16T12:30:13.134980Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:14.145933Z","title":"Quantum federated learning with decen- tralized data,","venue":null,"work_id":"29a064e5-054a-4303-998d-0be178018215","year":2022},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.792962Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:efc896e9b555cb3d6cd0b854604b23af28400313a19489dc911e1dc22c98e716","observation_id":"2f2329eb-f890-46b5-9c15-b039e4aeb5e3","resolution":{"observed_at":"2026-08-16T12:30:14.151401Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:14.127902Z","title":"Federated quantum machine learning,","venue":null,"work_id":"ea18bc65-05f7-40c9-b0bc-900b96f16200","year":2021},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.797140Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:cd43152847e06785827c2ac2e1d04c3e15c137f4896089904378237fd6ac5ec4","observation_id":"72a6799b-298a-4eeb-8255-c03fbfe67c8e","resolution":{"observed_at":"2026-08-16T12:30:14.133387Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.802851Z","title":"Gradient-based learning applied to document recognition,","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.802851Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:b2a6e1794cd18451911234c6aa1a97aa888036cd3a1dcd2a57604798b13ca6a0","observation_id":"a607cc45-3bbf-4eaa-b1aa-78595b939c90","resolution":{"observed_at":"2026-08-16T12:30:12.802851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:14.086296Z","title":"Credit card fraud detection,","venue":null,"work_id":"18813f25-d5de-4c26-80a6-f329f1f46dba","year":2018},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.806968Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:733eea4c087ad5b4b809656d2fe80d88b402c56e90e6d635f062a294c7205435","observation_id":"f70e8a98-c860-45df-b6d3-6a6579ed25dc","resolution":{"observed_at":"2026-08-16T12:30:14.092376Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s11433-021-1753-3","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:13.103804Z","title":"Quantum federated learning through blind quantum computing,","venue":null,"work_id":"28d1d09b-14d8-4bd8-ae27-e32a35767287","year":2021},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.811651Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:573e7754e5823867d3141ff597d5de961624b9e1977308019aede57cf7511e97","observation_id":"905fd3a8-2420-4101-a379-1c4a1f38d982","resolution":{"observed_at":"2026-08-16T12:30:13.111498Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2026-08-16T16:58:29.015621Z","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:cd156b849bbfcc754ff331e80fb592f8f95abf0b0a5d3d8124ac30610a72ace7","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.827781Z","title":"Decentralizing feature extraction with quantum convolutional neural network for automatic speech recognition,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.827781Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:152a2bceca594c8407028fb82f7df8c0e403a07d01c13cf817ce78c0d426989d","observation_id":"faffcdfc-aeeb-44e9-b6f1-e8b017c2fe94","resolution":{"observed_at":"2026-08-16T12:30:12.827781Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.834096Z","title":"Quantum machine learning with differential privacy,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.834096Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:dcf57a397efeadcd7374ff7e21b1bb225546a6de1ef93a5507fc30c120aa22bf","observation_id":"236dbd26-8e58-433c-9875-ef59d801df48","resolution":{"observed_at":"2026-08-16T12:30:12.834096Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:14.071190Z","title":"Quantum differential privacy: An information theory perspective,","venue":null,"work_id":"ea6578b6-abaf-450d-aeff-069bf03dd928","year":2023},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.839666Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:cfcdacbb36de3ab4ba981690959099e7bfe1dfc54a934fbe9ab8f1f782ea7ae5","observation_id":"05967e6a-3a88-4589-8ea6-bff0c1721b98","resolution":{"observed_at":"2026-08-16T12:30:14.076287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.844579Z","title":"Federated quantum machine learning with differential privacy,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.844579Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:ea760c184ec0a2f4cba716c19f0bcab0e26f02b9de20c8fbbfa3b0cec7bf8179","observation_id":"529009e8-a2ed-478a-9a23-91a3b450c0ce","resolution":{"observed_at":"2026-08-16T12:30:12.844579Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:14.052554Z","title":"Quantum federated learning for image classification,","venue":null,"work_id":"dea9ff5d-65cd-4c94-a908-bedda7ab0b9e","year":2024},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.848555Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:f2b23e3fd5b4ddf146dbbaacb4df1bc46fda0f1a47d79b25d2cfe70b9c04d2d5","observation_id":"ee33b731-253b-40e6-a245-41ded6a3286d","resolution":{"observed_at":"2026-08-16T12:30:14.061559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2401.07774","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:13.449019Z","title":"Predominant aspects on security for quantum machine learning: Literature review,","venue":null,"work_id":"8ffe725b-090c-49fb-af99-1bb420e5f471","year":2024},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.852674Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:15822abe47cf5d12bf02b1e4f86b0fc9b0324e3b996857fe4b668570fe2608e3","observation_id":"3fe8edc8-8703-49a4-9174-05885623f485","resolution":{"observed_at":"2026-08-16T12:30:13.457825Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.856883Z","title":"Biggio, I","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.856883Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:6781deb13d37d6d1e79ccd0c333baddb670cfa728e7238ac2cd85fd7b8206d94","observation_id":"fad570df-2b2b-4454-8c18-208db52d2c47","resolution":{"observed_at":"2026-08-16T12:30:12.856883Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1608.04644","last_updated":"2017-03-22T17:46:16Z","snapshot_observed_at":"2026-08-15T15:16:56.180227Z","submitted_at":"2016-08-16T15:59:35Z","title":"Towards Evaluating the Robustness of Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1608.04644","snapshot_observed_at":"2026-08-16T12:30:12.861686Z","title":"Towards evaluating the robustness of neural networks,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.861686Z"},"links":{"cited_paper":"/paper/1608.04644","citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:800d5c6a35b5213aa83c01beafdd8e826c75110da01fe792226a91709d064147","observation_id":"7e7f1ff9-d5cb-4f79-a289-f191482cdee6","resolution":{"observed_at":"2026-08-16T12:30:12.861686Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.867686Z","title":"Robust in practice: Adversarial attacks on quantum machine learning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.867686Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:810fc8d457ce9fdac74969b318768553d26e8fd74e8fe34ebe7ad0c1359b8cec","observation_id":"0afda983-c4db-4ff5-8f97-880335d32db8","resolution":{"observed_at":"2026-08-16T12:30:12.867686Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41534-021-00410-5","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:13.048142Z","title":"Optimal provable robustness of quantum classification via quantum hypothesis testing,","venue":null,"work_id":"36eae92c-c0d1-46d3-bd3b-084a0a51ec64","year":2021},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.873175Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:ddfc23338736965c8ae7e1b55a28bd57896bcaf8382907b21a6964e2d614f47d","observation_id":"bbbc356c-716a-4f8e-ad8a-d86199385f5d","resolution":{"observed_at":"2026-08-16T12:30:13.055776Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.879454Z","title":"Differential privacy in quantum computation,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.879454Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:55edd5afcbaae7b1431b4e2a1b02fd81c1731e770b6ddab531336c389df92c28","observation_id":"155830ca-87af-4b64-bfd6-c6ba186ce97b","resolution":{"observed_at":"2026-08-16T12:30:12.879454Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.883718Z","title":"Quantum noise protects quantum classifiers against adversaries,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.883718Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:54f0e9e36db8247a1cc819d2e5e9350bc7c4ea0341db12e9859511ca8d10b964","observation_id":"c4d638b7-e7b9-4af0-9cae-e50448b9c550","resolution":{"observed_at":"2026-08-16T12:30:12.883718Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.05860","last_updated":"2023-03-10T11:24:32Z","snapshot_observed_at":"2026-08-16T15:49:15.347320Z","submitted_at":"2023-03-10T11:24:32Z","title":"Variational Quantum Neural Networks (VQNNS) in Image Classification","version":1},"cited_work":{"arxiv_id":"2303.05860","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.05860","snapshot_observed_at":"2026-08-16T12:30:13.361370Z","title":"Variational Quantum Neural Networks (VQNNS) in Image Classification","venue":"quant-ph","work_id":"850d93ff-4b8a-4714-bad4-af4a10f204b7","year":2023},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.888620Z"},"links":{"cited_paper":"/paper/2303.05860","citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:7c4b04a29cc4b34112ba9e691696c2603d9ade902c8c8c06ef95a6a292c7ff65","observation_id":"505d0036-5002-4415-9e12-1fd3cdfa322a","resolution":{"observed_at":"2026-08-16T12:30:13.365869Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:14.026648Z","title":"Hybrid quantum-classical approach to quantum optimal control,","venue":null,"work_id":"f64ed461-71da-40df-a374-b97d6571bc7d","year":2017},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.894773Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:084c2351ececc92709dd60236d133ef4a22c8ae8cde07ea3057f4832b2144f34","observation_id":"c2520b4d-f25b-437b-999e-a848a48f758f","resolution":{"observed_at":"2026-08-16T12:30:14.033097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:14.003739Z","title":"Quantum circuit learning,","venue":null,"work_id":"cd4d1d8f-3b6f-4b0e-8fa7-c78b2126ede0","year":2018},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.898990Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:ea731948ee3bcb44e64bf518cad894965d380be582258f1c79e5e290f5424804","observation_id":"8f6d3a08-465d-4291-94dd-972200679fc2","resolution":{"observed_at":"2026-08-16T12:30:14.009968Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:13.985962Z","title":"General parameter- shift rules for quantum gradients,","venue":null,"work_id":"30419cf6-2213-4335-9ac6-1ddf816bd90a","year":2022},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.902460Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:12a2e5d8aaec9a5297e06c2efeb2c5f8ce96276cec1a90b3124e7019931a319b","observation_id":"adcffc61-807f-4272-844b-6f8b6fa7f75f","resolution":{"observed_at":"2026-08-16T12:30:13.991808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02772","last_updated":"2021-02-24T18:54:19Z","snapshot_observed_at":"2026-08-16T19:15:29.985571Z","submitted_at":"2020-10-06T14:43:23Z","title":"InstaHide: Instance-hiding Schemes for Private Distributed Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02772","snapshot_observed_at":"2026-08-16T12:30:12.906568Z","title":"Instahide: Instance-hiding schemes for private distributed learning,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.906568Z"},"links":{"cited_paper":"/paper/2010.02772","citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:054b4612fcf04d12169d08fb51d5403bddfac677740e79abc72d99179192d54b","observation_id":"5544c832-333c-4e5b-8a73-0d05f653d849","resolution":{"observed_at":"2026-08-16T12:30:12.906568Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:13.955150Z","title":"An introduction to the kalman filter,","venue":null,"work_id":"aabfc8c2-39a4-45f1-8f90-063978b68424","year":1995},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.919248Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:185c669be4ed86ab9970f8eba62a3955d63ab2da42e569aa9724c7cf0a1c2b74","observation_id":"4cfd1840-5f52-45b1-9be0-433731e42d94","resolution":{"observed_at":"2026-08-16T12:30:13.959313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.926060Z","title":"Quantum computing with Qiskit,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.926060Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:718739e448a1b5d2b5e77a1748354b43b196af91cd6a52c6bf5c97cf3a0a14ba","observation_id":"b4e6c407-1550-49b7-ae7c-a3eb9bdea27f","resolution":{"observed_at":"2026-08-16T12:30:12.926060Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1811.04968","last_updated":"2022-07-29T22:39:54Z","snapshot_observed_at":"2026-07-06T07:14:13.912107Z","submitted_at":"2018-11-12T19:18:57Z","title":"PennyLane: Automatic differentiation of hybrid quantum-classical computations","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.04968","snapshot_observed_at":"2026-08-16T12:30:12.931905Z","title":"Pennylane: Automatic differentiation of hybrid quantum-classical computations,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.931905Z"},"links":{"cited_paper":"/paper/1811.04968","citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:a97367d77ac51196c4e9767a4d4e64b9d3593809a810521aba524ffbb7dde7ba","observation_id":"0b93a0b1-74f6-4ce1-b51c-8386d7f79b89","resolution":{"observed_at":"2026-08-16T12:30:12.931905Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:13.968160Z","title":"Available: https://api.semanticscholar.org/CorpusID: 221081368","venue":null,"work_id":"22f074cc-2030-4e4b-97e6-1cdddf5f1c13","year":null},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.912151Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:e5f480a8606dcb8a6c755839a45c49a50d427c42099a5ec84e08bd0d27217e9e","observation_id":"b1bbc4d4-32f5-4601-a660-e4006232184b","resolution":{"observed_at":"2026-08-16T12:30:13.973962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.944372Z","title":"Medical imaging deep learning with differential privacy,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.944372Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:eefc11dbd0f14bae33f12888d49be5604111b554adc4d5434eed7998a22b0a0b","observation_id":"27ae6d39-b08a-4553-a3c0-26282d28d404","resolution":{"observed_at":"2026-08-16T12:30:12.944372Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:13.909198Z","title":"Absolute variation distance: An inversion attack evaluation metric for federated learning,","venue":null,"work_id":"339662b2-2bbb-43b2-ba7b-2a02cb6debc0","year":2024},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.950572Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:1b8dd47ec6fb38ae77f415cedf3d6aabca272549f3d7044437a903c31783ca90","observation_id":"3c57b312-91c0-4119-b9ad-7b226098d7db","resolution":{"observed_at":"2026-08-16T12:30:13.915552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.15718","last_updated":"2021-11-05T10:48:04Z","snapshot_observed_at":"2026-08-16T19:09:42.413014Z","submitted_at":"2020-10-29T16:05:45Z","title":"Minimal Model Structure Analysis for Input Reconstruction in Federated Learning","version":4},"cited_work":{"arxiv_id":"2010.15718","doi":null,"metadata_source":"pith","pith_arxiv_id":"2010.15718","snapshot_observed_at":"2026-08-16T12:30:13.311846Z","title":"Minimal Model Structure Analysis for Input Reconstruction in Federated Learning","venue":"cs.CR","work_id":"50fa98df-1c07-41d3-9e9d-d210122e690a","year":2020},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.956751Z"},"links":{"cited_paper":"/paper/2010.15718","citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:2bf2ce421bc24f20958f5616b3981f3977b088dcc3abf6f7df5b23c411e347c5","observation_id":"39b5da2b-643c-4051-a28f-b74979c9a284","resolution":{"observed_at":"2026-08-16T12:30:13.317639Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:13.926744Z","title":"Bagdasaryan, O","venue":null,"work_id":"d833423b-103c-4b9b-afca-b8642ad96996","year":2019},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.937352Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:37a19738bfda022900ae2b7b50bbf7138132949076928521761a1cf25f25f9c0","observation_id":"cd86df9b-e541-4a71-af38-d9d974fe4eff","resolution":{"observed_at":"2026-08-16T12:30:13.931469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:13.894550Z","title":"A kalman filtering tutorial for undergraduate students,","venue":null,"work_id":"17aea573-6d88-45a5-98aa-b9c84a39b8c5","year":2017},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.966308Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:f2d63b3f1985a8c18c508f76af2a6ce569845ca6c4f09d81878d0c970c5857dc","observation_id":"87d1a104-8eea-4214-960c-12db6ed14c1d","resolution":{"observed_at":"2026-08-16T12:30:13.899107Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.961725Z","title":"Reduction of finite sampling noise in quantum neural networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.961725Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:96cacd171b62e1a9849d81be60b9d1fb53dd4b4ca70b581c66c49255cb72dc97","observation_id":"daf21dab-ddea-4ec8-9e0c-f21ce94a6d23","resolution":{"observed_at":"2026-08-16T12:30:12.961725Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-14T18:51:16.666127Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-16T12:30:12.625750Z","title":"Available: https://arxiv.org/abs/1412.6980","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.625750Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:107cd9e76e588c7b91b694a0271de7c4845298c04dc2da8628e57e1ceaa2830c","observation_id":"a4b40164-d0ae-46b9-9558-dbc27a05fe79","resolution":{"observed_at":"2026-08-16T12:30:12.625750Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.02133","last_updated":"2020-03-04T15:30:10Z","snapshot_observed_at":"2026-08-15T13:53:57.947911Z","submitted_at":"2020-03-04T15:30:10Z","title":"Threats to Federated Learning: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.02133","snapshot_observed_at":"2026-08-16T12:30:12.709877Z","title":"Available: https://arxiv.org/abs/2003.02133","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.709877Z"},"links":{"cited_paper":"/paper/2003.02133","citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:49deebd2b9c6c4eb8fed32deb127afb88c17b7bb839074eded8bb4c38824b6bd","observation_id":"678f67b1-db2a-43ce-866c-d32e2b8c99db","resolution":{"observed_at":"2026-08-16T12:30:12.709877Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:30:12.594177Z","title":"Available: https://dx.doi.org/10.1088/2632-2153/abc17d","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks","version":2},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-16T12:30:12.594177Z"},"links":{"citing_paper":"/paper/2504.12806"},"observation_digest":"sha256:c864f6592a1bc4eebaa5ff8bdce3469449a0438c633315bd2dc398d5b160b863","observation_id":"3e7e6222-9079-481d-a317-e487281d1a16","resolution":{"observed_at":"2026-08-16T12:30:12.594177Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2504.12806","last_updated":"2025-05-07T09:01:00Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T16:58:29.015621Z","submitted_at":"2025-04-17T10:12:38Z","title":"A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks"},"reference_resolution":{"displayed":91,"state_counts":{"malformed_identifier":4,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":48,"verified_exact":9,"verified_fuzzy":29},"total_outbound_references":91},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 91 of 91 outbound references and 1 inbound Pith citation observation for arXiv:2504.12806."}