{"as_of":"2026-08-19T23:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1e7afdd443d7473f95da8deefd3d557ea6b8e4ebdcccdeee87c8c0816c36272a","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T04:54:04.963217Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2509.05924/citation-record","integrity":"/paper/2509.05924/integrity","json":"/paper/2509.05924/citation-record.json","paper":"/paper/2509.05924"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T04:54:05.576398Z","title":"Quantum entanglement.Reviews of modern physics, 81(2):865–942, 2009","venue":null,"work_id":"26fff213-6a86-4a3a-a704-3d829bac3a39","year":2009},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.758617Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:575f4f09aa6097b5b747481f6f252373ed4a0c53eaacefa61bebec9b099166ba","observation_id":"54c6d01a-6ac6-48fb-8c38-d9b072fd550b","resolution":{"observed_at":"2026-08-05T04:54:05.580849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:04.764115Z","title":"Cambridge university press, 2010","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.764115Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:618fd5410abda0ffc774e88c103b4d3a93c128a086b28c3fc0b43fe910dd87d4","observation_id":"bf235bef-ed3f-4af1-812c-dcdd34629c97","resolution":{"observed_at":"2026-08-05T04:54:04.764115Z","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":"2026-08-05T04:54:05.550264Z","title":"Classical complexity and quantum entanglement.Journal of Computer and System Sciences, 69(3):448–484, 2004","venue":null,"work_id":"b6731c81-7b66-4d97-a3ba-dbf3d65ca52c","year":2004},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.769030Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:98cb516f258b81aa1f25c2771edd70472909668cf9e4603795c2566f8db90ce3","observation_id":"1edec331-6656-4afc-bc41-692eba5370b9","resolution":{"observed_at":"2026-08-05T04:54:05.554675Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:05.535071Z","title":"Separability criterion for density matrices.Physical Review Letters, 77(8):1413, 1996","venue":null,"work_id":"0b074b2b-790c-4cc0-8e7b-74ae2bf3a123","year":1996},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.776014Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:f0222b516246df5fbbb5aaaa1b567c9d7f20b651c9dd8bb0d519533f6b391514","observation_id":"64c09470-bfb7-419c-b773-8342d192bd1d","resolution":{"observed_at":"2026-08-05T04:54:05.539694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:05.519964Z","title":"Bell inequalities and the separability criterion.Physics Letters A, 271(5-6):319–326, 2000","venue":null,"work_id":"3f79c3a0-9f55-4a32-818b-ac6edafe2889","year":2000},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.781012Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:0e3615e9942b6ec550232ff6f95c8e9b3d97b8bc714fb1ef14758cc7b5b41a10","observation_id":"0c2d1ce7-7989-4a63-8cde-1684c67bc1ce","resolution":{"observed_at":"2026-08-05T04:54:05.524723Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:05.504830Z","title":"Nonlinear power-like and svd-like iterative schemes with applications to entangled bipartite rank-1 approximation.SIAM Journal on Scientific Computing, 43(5):S448–S474, 2021","venue":null,"work_id":"3ef243cb-3625-4129-ad8c-b388a28491cb","year":2021},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.785779Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:4d5b7625b53c9ab84699e27ad251bafa968c77de8e2c139e5ae5c3c00e487177","observation_id":"16606026-6d8c-4e4f-bdda-711c9256359e","resolution":{"observed_at":"2026-08-05T04:54:05.509653Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:05.489238Z","title":"Supervised learning with quantum computers.Quantum science and technology, 17, 2018","venue":null,"work_id":"deac3818-2342-4ccc-b1fa-591cb8b6ee34","year":2018},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.791528Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:284c24dcd075c5f11734c4d47de74296f2f61cb4de886705b4b9bc4ba7d2d6f4","observation_id":"f06b352c-9e95-4eaa-8e61-970cc0560ab8","resolution":{"observed_at":"2026-08-05T04:54:05.493846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:04.795835Z","title":"Springer, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.795835Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:964ee8f74dc9b814fa6264db9e5b62e50d71c68b5e3cb484564cc5e7aaa123d8","observation_id":"c58d7743-08d8-4c03-a212-478f311c05be","resolution":{"observed_at":"2026-08-05T04:54:04.795835Z","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":"2026-08-05T04:54:05.460526Z","title":"Artificial intelligence computing at the quantum level.Data, 7(3):28, 2022","venue":null,"work_id":"f5a19434-c068-4041-9d6a-08ba03cbc95f","year":2022},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.801869Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:e15511ff1010382387370704f9a1493e3ec1b74ce8c202b766d12b3c21f31f00","observation_id":"bd5eaf81-f1b0-48da-b974-042d7b17189f","resolution":{"observed_at":"2026-08-05T04:54:05.465567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:05.444837Z","title":"Robust online hamiltonian learning.New Journal of Physics, 14(10):103013, 2012","venue":null,"work_id":"205643df-1c67-42cb-9c72-30477f251afb","year":2012},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.807170Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:197bd9fe1dc123e8bacb00ed807e830fef7b6360fe99ca9feb90c4fbd80b63b1","observation_id":"b643d906-2983-404b-ad0e-51414ac819da","resolution":{"observed_at":"2026-08-05T04:54:05.449250Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:05.429852Z","title":"Separability-entanglement classifier via machine learning.Physical Review A, 98(1):012315, 2018","venue":null,"work_id":"0e1a39d7-d345-4234-8ca1-725bf8bbadbc","year":2018},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.811887Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:7bc1f6e1f4b236889402f29756c18b63ffca307863120952835444d209be0bbf","observation_id":"b9d60900-e6f5-4475-b5dc-943fdcef5703","resolution":{"observed_at":"2026-08-05T04:54:05.434346Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:05.415191Z","title":"Entanglement verification with deep semisupervised machine learning","venue":null,"work_id":"04064e40-9aae-4878-9811-760310ac800f","year":2023},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.817754Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:674bae85efe6a6bc5dccc1d04ce8730516802a14237fa4011d5bf421e2b2356c","observation_id":"f451714a-925d-4e96-ae6f-5ad584805266","resolution":{"observed_at":"2026-08-05T04:54:05.419538Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.18163","last_updated":"2025-04-25T08:25:39Z","snapshot_observed_at":"2026-08-18T02:28:10.806100Z","submitted_at":"2025-04-25T08:25:39Z","title":"Optimal entanglement witness of multipartite systems using support vector machine approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.18163","snapshot_observed_at":"2026-08-05T04:54:04.822301Z","title":"Optimal entanglement witness of multipartite systems using support vector machine approach.arXiv preprint arXiv:2504.18163, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.822301Z"},"links":{"cited_paper":"/paper/2504.18163","citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:01733dcbb4823f0a48031ffc5c9679878df87ca6fdf0312d0d178313b6e26448","observation_id":"7cc7023c-e656-4832-9f04-8db8d8de82ec","resolution":{"observed_at":"2026-08-05T04:54:04.822301Z","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":"2026-08-05T04:54:04.827091Z","title":"Quantum machine learning.Nature, 549(7671):195–202, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.827091Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:424b351df501dceacdef4a446c48f838f46dda573a5772475f12778064675f9e","observation_id":"86fd2c72-5b26-483f-8354-d561bf8a5209","resolution":{"observed_at":"2026-08-05T04:54:04.827091Z","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":"2026-08-05T04:54:05.389315Z","title":"Quantum information with continuous variables.Reviews of modern physics, 77(2):513–577, 2005","venue":null,"work_id":"13acc2b8-1c62-4ba0-a1ee-1e8383c5845f","year":2005},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.832081Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:6f1d2b3fc941dd84d45898d39644993e619ab57911047d20891a42fd6c1857a2","observation_id":"ea04d108-c18b-4a07-bb1c-1ce37a17a7fa","resolution":{"observed_at":"2026-08-05T04:54:05.394044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:05.374204Z","title":"Gaussian quantum information.Reviews of Modern Physics, 84(2):621–669, 2012","venue":null,"work_id":"79be8bf9-ad01-4a11-9c7d-abf632a5f2da","year":2012},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.836466Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:33ccf7fe8a29cd06a3c9083a8180c88224251e682e53605527f164a0b1f93649","observation_id":"a234aac9-0c31-4216-8e99-c989af01e1fa","resolution":{"observed_at":"2026-08-05T04:54:05.378584Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:05.358581Z","title":"Experimentally realizable continuous-variable quantum neural networks.Physical Review A, 108(4):042414, 2023","venue":null,"work_id":"13fe6498-11dc-40e5-a8ce-7b2d97319a4d","year":2023},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.841884Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:643965a0b62d77dd9bdd8e77c64dcbb5a93b8c9a4a525c9bb512d1fd9f64726c","observation_id":"f1e4fad4-cbeb-44ed-bac5-2cc9dff0f82d","resolution":{"observed_at":"2026-08-05T04:54:05.363966Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:05.344330Z","title":"Continuous- variable quantum neural networks.Physical Review Research, 1(3):033063, 2019","venue":null,"work_id":"f264fe4f-81a8-4b6d-9a25-a333ecd0b70a","year":2019},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.847675Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:c6bd41cafb9535bcd717be48d82a1dc7fdf2f8acc5aa97dd8eacb56adf8c7479","observation_id":"c4880c87-6781-4bfe-a7f5-7961e7380e32","resolution":{"observed_at":"2026-08-05T04:54:05.348781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:05.327356Z","title":"Quantum computation over continuous variables.Physical Review Letters, 82(8):1784, 1999","venue":null,"work_id":"08acd08c-04a2-40d1-8f51-1dc153dcf833","year":1999},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.852898Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:fd65cdea5a691d4349ea44c09e4e246504f22ff75928b901131f4ad55bdacb4c","observation_id":"2631c942-15aa-4ee0-88fa-dffde0647b00","resolution":{"observed_at":"2026-08-05T04:54:05.332109Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:05.311151Z","title":"Optimal design for universal multiport interferometers.Optica, 3(12):1460–1465, 2016","venue":null,"work_id":"ef6f93e7-9341-44b8-b32b-702cd4fb9ff3","year":2016},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.862159Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:59c366a06f2f1b2c1001e72446229e802a26d9dcac95a39d109e92bc2e2b3a9c","observation_id":"fd88fd49-ff17-4283-a615-b0732e17bf2c","resolution":{"observed_at":"2026-08-05T04:54:05.316439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:04.867755Z","title":"Springer Science & Business Media, 2004","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.867755Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:4f390f9ccc6682383e4e6624c37663d080617c61c2ec642963988055cc80ded1","observation_id":"ab935f86-88ad-4d54-bcff-49e02b7e1819","resolution":{"observed_at":"2026-08-05T04:54:04.867755Z","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":"2026-08-05T04:54:05.284466Z","title":"Cambridge university press, 1997","venue":null,"work_id":"0eeb7b8e-79e0-4859-af21-afa7b139b2b2","year":1997},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.875623Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:909d0bc01c8cef5f28306304f2584a6621f632d0c450313f9add1d02bc1890f0","observation_id":"503991d8-6001-41c7-8da6-231d6ba81237","resolution":{"observed_at":"2026-08-05T04:54:05.289624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:04.881239Z","title":"Quantum circuit learning.Physical Review A, 98(3):032309, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.881239Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:6e2e2b84ee5feedafa2b704428924fb8d509d9f6cb2540541ae40824c20c9b1e","observation_id":"7d0b7987-b8e6-4882-a497-0863583e5ab8","resolution":{"observed_at":"2026-08-05T04:54:04.881239Z","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":"2026-08-05T04:54:05.256517Z","title":"Evaluating analytic gradients on quantum hardware.Physical Review A, 99(3):032331, 2019","venue":null,"work_id":"cefe2c43-056e-45f1-810d-acb4a9b3f2f4","year":2019},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.885876Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:0114a5363ec7a60e6f2e3dcdb79d449662aa47d320e67894a6d96b9a1d5f1e40","observation_id":"bfe46944-efe1-4088-ba7e-ff40181f8090","resolution":{"observed_at":"2026-08-05T04:54:05.260890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.06002","last_updated":"2018-08-30T20:23:02Z","snapshot_observed_at":"2026-08-14T19:45:10.953329Z","submitted_at":"2018-02-16T16:09:34Z","title":"Classification with Quantum Neural Networks on Near Term Processors","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.06002","snapshot_observed_at":"2026-08-05T04:54:04.890362Z","title":"Classification with quantum neural networks on near term processors.arXiv preprint arXiv:1802.06002, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.890362Z"},"links":{"cited_paper":"/paper/1802.06002","citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:b1f44c494b61e8200a1d8813ddbc15c21d1a81a070ab702b781dc2544e139c84","observation_id":"3b12e367-3171-4af5-99df-5f184a1b320a","resolution":{"observed_at":"2026-08-05T04:54:04.890362Z","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":"2026-08-17T19:26:44.032537Z","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":"2026-08-05T04:54:04.896096Z","title":"Adam: A method for stochastic optimization.arXiv preprint arXiv:1412.6980, 2014","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.896096Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:967151b98765876bbc107e70ac7667f1e1670347b036f364bb5cc4098de7ae66","observation_id":"e89612c2-323b-4ac0-93ed-8dac9a9bc5e8","resolution":{"observed_at":"2026-08-05T04:54:04.896096Z","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":"2026-08-05T04:54:04.901769Z","title":"Multilayer feedforward networks are universal approximators","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.901769Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:72ea5b2e6b2b124e247553cbd3d8941209eb1f0e817a27f0dd2d37a023c7ad07","observation_id":"bf1c61c9-a7fc-4e65-9dda-db19c5213661","resolution":{"observed_at":"2026-08-05T04:54:04.901769Z","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":"2026-08-05T04:54:05.230294Z","title":"Strawberry fields: A software platform for photonic quantum computing.Quantum, 3:129, 2019","venue":null,"work_id":"8d9aeb61-9309-440a-89d7-d306bad1a5ae","year":2019},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.906983Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:dca39443419e43c8df94976ac014950e82c7b25558eac9a7d0f0d778702338f0","observation_id":"e1b936f4-861d-4b00-a2bf-5f0b0e0dc073","resolution":{"observed_at":"2026-08-05T04:54:05.235038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1603.04467","last_updated":"2016-03-16T16:57:12Z","snapshot_observed_at":"2026-08-14T22:06:04.800050Z","submitted_at":"2016-03-14T20:50:20Z","title":"TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1603.04467","snapshot_observed_at":"2026-08-05T04:54:04.912468Z","title":"Tensorflow: Large-scale machine learning on heterogeneous distributed systems.arXiv preprint arXiv:1603.04467, 2016","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.912468Z"},"links":{"cited_paper":"/paper/1603.04467","citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:9ec3d8bee71c0f8fe3515b1c6b1d4e5098eb90ebaa6a46a858dff3abcec63abc","observation_id":"9c75565c-a2b8-4824-bf61-896897ec607e","resolution":{"observed_at":"2026-08-05T04:54:04.912468Z","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":"2026-08-05T04:54:05.214951Z","title":"This means there is a one-to-one and continuous correspondence between quantum states inXand classical vectors inP","venue":null,"work_id":"2018849e-6157-4d4d-8bbb-3664ca135c79","year":null},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.920434Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:6361d60e9d0980176dbb1d2ac6d1f335c62a2f2c0a7032dfc1850e08f2057615","observation_id":"a8d1fbd4-b2c3-4ac2-b7f1-44e5cc2c4d77","resolution":{"observed_at":"2026-08-05T04:54:05.219537Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:05.199405Z","title":"In other words, the task of learning the quantum functional F is equivalent to learning the classical function ˜Fon the feature spaceP","venue":null,"work_id":"a730de3c-5146-4d6a-9e54-926af4dbed66","year":null},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.925559Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:25bd36a03e1144b83f1e5fd72686778eff7925c716f2344b02b9e1db3cbfe206","observation_id":"dfc8c388-07ea-4868-89ff-755557cf54a2","resolution":{"observed_at":"2026-08-05T04:54:05.204094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:05.185342Z","title":null,"venue":null,"work_id":"adfd96d7-9b1c-47d3-9c71-ff240bdf4099","year":null},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.930161Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:8dd38b43d995bbd17cb11891a4390050ee1ea6f590884c23d264768a1fa54413","observation_id":"bbb49b20-5296-403b-bca6-5cc6e8c61f78","resolution":{"observed_at":"2026-08-05T04:54:05.189539Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:05.169201Z","title":"The parameters of all gates (rotations, beamsplitters, squeezers, displacements, Kerr) were initialized randomly by sampling from a normal distributionN(0,0.1)","venue":null,"work_id":"2f29dcdd-85f6-4dc6-a784-4c384bc9cb5c","year":null},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.934557Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:6df5b6d6186ea2946238ca149742f46d7070ff6c83a240583df12c01f54da152","observation_id":"12da2091-bbc0-4014-8181-2faa46b5c0dd","resolution":{"observed_at":"2026-08-05T04:54:05.175286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:05.152768Z","title":"• Support Vector Machine (SVM):We used an SVM with a non-linear Radial Basis Function (RBF) kernel","venue":null,"work_id":"5286b9a1-7fc2-41ef-9b4a-b3877d0f8fca","year":null},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.939018Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:ebfdda8271772b5e935faf1c9f9c3a7dca53ba9e0fa39dd6c4c5d758018b5342","observation_id":"1edc1e20-746a-409d-b446-35591f8b80c0","resolution":{"observed_at":"2026-08-05T04:54:05.157647Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:05.134526Z","title":"To provide a reliable measure of the uncertainty in our performance metrics, we computed 95% confidence intervals (CIs) using the **stratified bootstrap** method","venue":null,"work_id":"5956564a-7624-4d8a-9d33-aeafbc82bd99","year":null},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.943432Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:0b3ad7d1de61bb956f04c3b7c4a8ad688a16db68fe0caa574d0c44dc61b049fe","observation_id":"369fb18e-2449-4ea1-84fe-aa1029353caa","resolution":{"observed_at":"2026-08-05T04:54:05.139625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:05.116793Z","title":null,"venue":null,"work_id":"92ad41e4-fc14-40c7-a3df-cbcb75190b85","year":null},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.948552Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:6f3d968d036d0050e1139feb401501f1c92c67a3e68874394c1849ffe131f1de","observation_id":"228581b1-1450-4d25-af0a-cc4a87c6814a","resolution":{"observed_at":"2026-08-05T04:54:05.122915Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:05.100677Z","title":null,"venue":null,"work_id":"b1807bf7-f9bd-44d9-9627-9b46242469b9","year":null},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.953697Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:d44e066e40a91bde7d04c654b880f09b6be6363b02c4005569bc851ade182fae","observation_id":"2c127c1e-c0b3-4b45-bc8e-14d0adbf0ed9","resolution":{"observed_at":"2026-08-05T04:54:05.105588Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:05.085599Z","title":null,"venue":null,"work_id":"3c93dd50-2549-404f-addb-0c640300e62d","year":null},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.958398Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:0a2a7160f0a3913e53675cd0232817dcf5efaa8b014b16ef7018f79e13c98b5b","observation_id":"297fc4e3-eb1a-4728-bd84-3b62085db7f3","resolution":{"observed_at":"2026-08-05T04:54:05.089968Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-05T04:54:05.066429Z","title":"An observed performance gap between two models is considered statistically significant if their 95% CIs are non- overlapping","venue":null,"work_id":"a23a7b84-f579-43ea-b193-7d6063aab402","year":null},"citing_paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T04:54:04.963217Z"},"links":{"citing_paper":"/paper/2509.05924"},"observation_digest":"sha256:12cd8b84bb991bee99a6b77cc556504b030eb2403943e228ffef76aba1747ef2","observation_id":"fdb6a824-1b06-46c9-8a64-683fb3474029","resolution":{"observed_at":"2026-08-05T04:54:05.073578Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.05924","last_updated":"2025-09-07T04:45:59Z","latest_version":1,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-18T01:29:06.788594Z","submitted_at":"2025-09-07T04:45:59Z","title":"Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":14,"verified_exact":0,"verified_fuzzy":25},"total_outbound_references":39},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2509.05924."}