{"as_of":"2026-08-09T23:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8335f9a52f963ccc16028ecbe4e2831263fa5c1618ede79155f76df51d966a2d","coverage":[{"denominator":117,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T16:27:40.769574Z","state":"measured"},{"denominator":101,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":101,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T12:39:10.602119Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.13587","snapshot_observed_at":"2026-08-04T12:39:10.602119Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.03389","last_updated":"2026-06-05T21:50:39Z","snapshot_observed_at":"2026-08-08T09:25:30.580420Z","submitted_at":"2025-10-03T18:00:00Z","title":"Quantum feature-map learning with reduced resource overhead","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-04T12:39:10.602119Z"},"links":{"cited_paper":"/paper/2507.13587","citing_paper":"/paper/2510.03389"},"observation_digest":"sha256:8649ffa76e9e34b27ab39f0cc5d1e913951f8ddedbd5d59cd31150ad93cc887f","observation_id":"1e5f7c5a-5451-4e56-ac79-cbfc6d4a9c35","resolution":{"observed_at":"2026-08-04T12:39:10.602119Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2507.13587/citation-record","integrity":"/paper/2507.13587/integrity","json":"/paper/2507.13587/citation-record.json","paper":"/paper/2507.13587"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:27:40.512557Z","title":"Algorithms for quantum computation: discrete logarithms and factoring,","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.512557Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:1ab13eb67ddb1641431d0569e82abe7b1f77fb4b6dddc956db4c09b3adf475f0","observation_id":"fbe572a3-2bc1-4b52-85ec-d44649497aca","resolution":{"observed_at":"2026-08-06T16:27:40.512557Z","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":"2026-08-06T16:27:40.515969Z","title":"A fast quantum mechanical algorithm for database search,","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.515969Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:8c962d903ce329d4b868d85e654a8ceff9eba2ae4961ddab69e88acb53ff0547","observation_id":"1e646292-2fad-4ad8-aa3c-3815e6bc9dc7","resolution":{"observed_at":"2026-08-06T16:27:40.515969Z","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":"2026-08-06T16:27:40.518716Z","title":"Quantum algo- rithm for linear systems of equations,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.518716Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:ec5f713a4fa238f2b5cbaddd70ab98147f9c87c89436d50efbf243d2d15acecb","observation_id":"963455d2-ef52-47ba-aaeb-b7079d198f6b","resolution":{"observed_at":"2026-08-06T16:27:40.518716Z","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":"2026-08-06T16:27:40.521721Z","title":"Stabilizer Codes and Quantum Error Correc- tion,","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.521721Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:df857adec30385d9e4050844f1af9a4314aae6a9a5f2e6c51891956f06a94807","observation_id":"4edd2f7a-0119-4848-9062-caef9cbef830","resolution":{"observed_at":"2026-08-06T16:27:40.521721Z","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":"2026-08-06T16:27:40.524579Z","title":"Theory of quantum error- correcting codes,","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.524579Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:a963d8fac2a82470c3c1e333bdc124ed8b5d55cc2141d5087281ab3ddda22f83","observation_id":"510c51cf-8327-4849-9128-fc11043c6ec3","resolution":{"observed_at":"2026-08-06T16:27:40.524579Z","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":"2026-08-06T16:27:40.527271Z","title":"Fault-tolerant quantum computation by anyons,","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.527271Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:21779708bf3d0fcc3fc6d7dc12c83da66f8f050c34829280c6514be1f9cf67b3","observation_id":"9bb7547e-fe20-42be-a74c-df618a89043a","resolution":{"observed_at":"2026-08-06T16:27:40.527271Z","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":"2026-08-06T16:27:40.530383Z","title":"Noisy intermediate-scale quantum algo- rithms,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.530383Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:b3c9ee571275a42aea822c7f2a5901dca937cc150a18ade65328bf20f8165db9","observation_id":"68a630e7-98d3-4e40-a35d-9a0b586c053a","resolution":{"observed_at":"2026-08-06T16:27:40.530383Z","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":"2026-08-06T16:27:40.533003Z","title":"Quantum computing in the NISQ era and beyond,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.533003Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:f74fd07e3e1b467465184ff02f7116f5aaef355038d251fe35b83dfffe7017ae","observation_id":"3a1f2efa-0e73-49f1-a363-5729478742c0","resolution":{"observed_at":"2026-08-06T16:27:40.533003Z","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":"2026-08-06T16:27:40.535588Z","title":"Progress towards practical quantum variational algorithms,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.535588Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:e0605ba937a09e5a69cb533efe47c3fccf1eab0539c23f1d87a5b3542dd3a3be","observation_id":"035f1101-0340-48cf-bbec-ffbc8053e9b6","resolution":{"observed_at":"2026-08-06T16:27:40.535588Z","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":"2026-08-06T16:27:40.538153Z","title":"The theory of variational hybrid quantum-classical al- gorithms,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.538153Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:e398e7ea619e3fe13e18150ac262490a60463fee7d749ff233a12ca91af71650","observation_id":"e575d7ff-49f6-41ba-837f-4a865f7a49f9","resolution":{"observed_at":"2026-08-06T16:27:40.538153Z","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":"2026-08-06T16:27:40.540588Z","title":"Variational quantum algorithms,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.540588Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:769130a34581e9d7a51b10b745e24e67b59d0d6ed61105f14b0da33604d95ec1","observation_id":"084b3427-22af-4dd9-ae48-d1f5f69e05a3","resolution":{"observed_at":"2026-08-06T16:27:40.540588Z","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":"2026-08-06T16:27:40.543128Z","title":"A vari- ational eigenvalue solver on a photonic quantum processor,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.543128Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:be4a64bb3484228ec06415602bf381edcc1fbdcf2a2fc1dc1368df396a032d2a","observation_id":"38391859-29a5-4559-80f1-63e889f56b60","resolution":{"observed_at":"2026-08-06T16:27:40.543128Z","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":"2026-08-06T16:27:40.545572Z","title":"Vari- ational quantum state eigensolver,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.545572Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:2e5cd2fb522476aaa68ed310578cbce4944d56ca3d1c91b60dff975afbafecb9","observation_id":"7c52d45c-1a03-4280-8943-71b0e3342771","resolution":{"observed_at":"2026-08-06T16:27:40.545572Z","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":"2026-08-06T16:27:40.547952Z","title":"Symmetry en- hanced variational quantum spin eigensolver,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.547952Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:02743f39c4e99d8a401c776120856092bb710e2558289600c87f4cc99b30c701","observation_id":"a2289257-a711-4bee-976d-850a07416f14","resolution":{"observed_at":"2026-08-06T16:27:40.547952Z","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":"2026-08-06T16:27:40.550651Z","title":"Multilevel variational spectroscopy using a programmable quantum sim- ulator,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.550651Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:8cb7931087fcb5acf5f99d9da5bf94efe47a37e4e9ed283c27c0938732749e97","observation_id":"02002653-d9dc-4031-b837-596195333d22","resolution":{"observed_at":"2026-08-06T16:27:40.550651Z","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":"2026-08-06T16:27:40.553491Z","title":"Scaling of variational quantum circuit depth for condensed matter systems,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.553491Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:a18b933dd5ce8f52f4e6fd87c7edcc2313538edf54defc4a4c3d89919d3691fa","observation_id":"053007d9-50f6-4558-bd49-447e8c707ff0","resolution":{"observed_at":"2026-08-06T16:27:40.553491Z","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":"2026-08-06T16:27:40.555873Z","title":"Variational quan- tum eigensolver for frustrated quantum systems,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.555873Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:8bb9447d10a61b25fa2606c09df77c096237e1c1365becfebc817cd872c64b7b","observation_id":"4f9be9f6-c4d4-4b09-96a5-72d818fdbd28","resolution":{"observed_at":"2026-08-06T16:27:40.555873Z","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":"2026-08-06T16:27:40.558260Z","title":"Classically optimized variational quantum eigensolver with applications to topological phases,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.558260Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:13d8fcfbdbd5f3d46616d481402abf4008fd0371e01254c509ec50d5445100ab","observation_id":"f0e9d13a-b6e0-40bf-a328-8bd6e61493f8","resolution":{"observed_at":"2026-08-06T16:27:40.558260Z","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":"2026-08-06T16:27:40.561284Z","title":"Ground-state energy estimation of the water molecule on a trapped-ion quantum computer,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.561284Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:4f1b4197a9f38f760db0e7a159fe2445ed2e566b80e27cf8639a724bcad75bf1","observation_id":"f833e670-713c-4fde-8be7-aa3a0d2b1c1b","resolution":{"observed_at":"2026-08-06T16:27:40.561284Z","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":"2026-08-06T16:27:40.564000Z","title":"Hardware-e fficient varia- tional quantum eigensolver for small molecules and quantum magnets,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.564000Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:cd92af0c04f7c0d593cb2e44ec5b265957aa82da4d538bd266c63f3d92eb550b","observation_id":"526b74bb-5bfb-4ad0-a6e7-375a4af3a0ad","resolution":{"observed_at":"2026-08-06T16:27:40.564000Z","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":"2026-08-06T16:27:40.566650Z","title":"Hartree-fock on a su- perconducting qubit quantum computer,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.566650Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:3bbd2acd55e3ef4b455d0f26fb486fc537903fd143835e6be24f2e1793cbb5f1","observation_id":"a5f4c4e3-b7cd-4a4a-a3db-c375819157a3","resolution":{"observed_at":"2026-08-06T16:27:40.566650Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1411.4028","last_updated":"2014-11-14T19:57:57Z","snapshot_observed_at":"2026-07-06T04:00:38.324755Z","submitted_at":"2014-11-14T19:57:57Z","title":"A Quantum Approximate Optimization Algorithm","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1411.4028","snapshot_observed_at":"2026-08-06T16:27:40.569302Z","title":"A quantum approx- imate optimization algorithm,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.569302Z"},"links":{"cited_paper":"/paper/1411.4028","citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:e38d79d1545ae80c02e45b06b99def6cbe91e75c5bb71ba3f2207d90dc8cdd43","observation_id":"7da0010b-bde8-48cd-b1d7-4a58fdfde3a7","resolution":{"observed_at":"2026-08-06T16:27:40.569302Z","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":"2026-08-06T16:27:40.572087Z","title":"Ising formulations of many NP problems,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.572087Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:1ed686ffa67063e96207be5381dff49a41dff7c4b4114e63a3dfa0facc397473","observation_id":"f78fc8b8-e410-4238-b483-7222f683bc96","resolution":{"observed_at":"2026-08-06T16:27:40.572087Z","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":"2026-08-06T16:27:40.574473Z","title":"The travelling salesman problem and adiabatic quantum computation: an algorithm,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.574473Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:18336668d8704b068d092e66468b7351b5efefc341c66325910b1b08a65bd22e","observation_id":"69436130-add1-480a-9f3e-f92e82eb89dc","resolution":{"observed_at":"2026-08-06T16:27:40.574473Z","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":"2026-08-06T16:27:40.576966Z","title":"Randomized heuristics for the MAX-CUT problem,","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.576966Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:ddb69e0553412062a253dcfce33560c8236b66c973dc4c2ad89052794088c31f","observation_id":"3e955e2d-78f1-43be-8500-e204e7f1c55a","resolution":{"observed_at":"2026-08-06T16:27:40.576966Z","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":"2026-08-06T16:27:40.579311Z","title":"Direct fidelity estimation from few Pauli measurements,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.579311Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:937e0105882a9a35e1e383283da08f04035f4760650d74236624ef91e04e1713","observation_id":"41905df4-d88e-4f4c-812c-f520cb9316e1","resolution":{"observed_at":"2026-08-06T16:27:40.579311Z","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":"2026-08-06T16:27:40.581659Z","title":"Sample- optimal tomography of quantum states,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.581659Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:f9f6ff918ca95d631ec790546ddccb09d975b7f0e9868280a5b5470e5bc40eac","observation_id":"aedf91c4-31f5-4563-a612-17ef0d328a46","resolution":{"observed_at":"2026-08-06T16:27:40.581659Z","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":"2026-08-06T16:27:40.584462Z","title":"Robust resource-efficient quantum variational ansatz through an evolutionary algorithm,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.584462Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:6da7b48e85382b87f702a0118c1f87b6c6f374fdc49b6d8aeb1b75acaf7427f9","observation_id":"5e3ba3ca-1505-423e-a8e2-d5f0136c30e3","resolution":{"observed_at":"2026-08-06T16:27:40.584462Z","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":"2026-08-06T16:27:40.587054Z","title":"Quantum architec- ture search: a survey,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.587054Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:afe6c7e824d8714f3df5888f45b7e3002dbf3b0c725bb6a1121f90cc714bccb6","observation_id":"3e8f990c-f941-4590-bf93-028fd881825f","resolution":{"observed_at":"2026-08-06T16:27:40.587054Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.04424","last_updated":"2020-07-08T20:44:50Z","snapshot_observed_at":"2026-08-07T18:32:03.790002Z","submitted_at":"2020-07-08T20:44:50Z","title":"MoG-VQE: Multiobjective genetic variational quantum eigensolver","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.04424","snapshot_observed_at":"2026-08-06T16:27:40.589937Z","title":"MoG-VQE: Multiobjective genetic variational quantum eigensolver,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.589937Z"},"links":{"cited_paper":"/paper/2007.04424","citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:0b8fed9fdeef0499bece648f6819ae414f7dd951961f8ebed274f1637a091893","observation_id":"197bda84-acda-4340-8257-d1da73f87f0b","resolution":{"observed_at":"2026-08-06T16:27:40.589937Z","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":"2026-08-06T16:27:40.592767Z","title":"Adaptive diversity- based quantum circuit architecture search,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.592767Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:2b42469510d0e6aa058d52d17b075fbe460eb10eddaacb94fa9c528d7d011956","observation_id":"22bc593e-332b-4937-80c7-352a56d84368","resolution":{"observed_at":"2026-08-06T16:27:40.592767Z","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":"2026-08-06T16:27:40.595312Z","title":"Barren plateaus in quantum neural network train- ing landscapes,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.595312Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:14817b20b0bcdddf67420e1e058c0f7b20522b43636aeef68d39dccbc59cb6f4","observation_id":"141ef0c0-f2fe-4db4-a390-0516f730a53d","resolution":{"observed_at":"2026-08-06T16:27:40.595312Z","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":"2026-08-06T16:27:40.597585Z","title":"Cost function dependent barren plateaus in shal- low parametrized quantum circuits,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.597585Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:d035d5f9c74bf3aa9fd7c00ed7d995e3fab86809376b7d71e31f9801dfcd5ccc","observation_id":"c47c5c65-b56e-4df5-8de2-01c07ac89b0c","resolution":{"observed_at":"2026-08-06T16:27:40.597585Z","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":"2026-08-06T16:27:40.600059Z","title":"Barren plateaus in variational quantum comput- ing,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.600059Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:e8e793fbd2683ae35378df454ab40b946d5fb66a6d30d0cf5b6cd2d7342e04f3","observation_id":"0d75438a-4455-4c7a-878b-8042fbbe49ea","resolution":{"observed_at":"2026-08-06T16:27:40.600059Z","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":"2026-08-06T16:27:40.602645Z","title":"An introduc- tion to quantum machine learning,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.602645Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:680c2afbe825f65cd79b3ca323ac7c0b7200635cd8f88bd0814095664943c01c","observation_id":"7768c841-36e3-4db5-9a54-de7170f6c8e0","resolution":{"observed_at":"2026-08-06T16:27:40.602645Z","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":"2026-08-06T16:27:40.605522Z","title":"Quantum machine learning,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.605522Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:99f9c63ff6ec2ffedd305e66e9e12441c682618338705426caf3ec3ac85ae4e3","observation_id":"0bebd081-9625-4f17-99b7-497bf8c9f873","resolution":{"observed_at":"2026-08-06T16:27:40.605522Z","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":"2026-08-06T16:27:40.608001Z","title":"A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.608001Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:3fa45cd402535a17b7a620c043a9d3f4e5799c7dc6d6be49e11c68f885f566e8","observation_id":"3541086e-b55c-443c-a92f-ac086b6c2751","resolution":{"observed_at":"2026-08-06T16:27:40.608001Z","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":"2026-08-06T16:27:40.610371Z","title":"Machine learning phases of matter,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.610371Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:f89cb92470898180f95157709f0c81d6f806e48b4ddbc4d040a23e867feae01e","observation_id":"d568a409-f785-4eb8-9e3b-9d5bfaae4697","resolution":{"observed_at":"2026-08-06T16:27:40.610371Z","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":"2026-08-06T16:27:40.612711Z","title":"Learning phase transitions by confusion,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.612711Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:db9a1603867bd382dbf8670cd888dd6b6cda0106a0982e0bd7eeac098c055704","observation_id":"6be95c6e-2e40-4650-990b-f092f4d3abfa","resolution":{"observed_at":"2026-08-06T16:27:40.612711Z","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":"2026-08-06T16:27:41.715452Z","title":"Quantum gate learning in qubit networks: To ffoli gate without time-dependent con- trol,","venue":null,"work_id":"6aafcbea-3a12-42d7-9972-c9b7038974fb","year":2016},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.615140Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:5a77ff69e3f25cc6fb28e7cdc5b91a3a594b2a32359f6c217ece62bb9139b7b5","observation_id":"5668dee9-3c56-45f4-98b1-6313f853ac44","resolution":{"observed_at":"2026-08-06T16:27:41.718823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.706534Z","title":"Machine-learning- assisted many-body entanglement measurement,","venue":null,"work_id":"09bf0a8f-a262-4a29-a6b2-7340a7b31cf7","year":2018},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.617642Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:103a1db7d883f2c3e4fe31ff7a7a3930d10eae5ba496919909b1f170bc0bb1b8","observation_id":"daa609f7-0f73-4ce6-b7c3-d7b580759c9f","resolution":{"observed_at":"2026-08-06T16:27:41.709762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.697977Z","title":"Neural-network quantum state tomography,","venue":null,"work_id":"e6bda0be-295a-4e41-abb6-d0e3c4d152c8","year":2018},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.619999Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:c293d822de2bade824742b673d1fff5daf25da7e0067bbcc16a7420e28e3e998","observation_id":"cc001b39-7a89-410b-86a2-7f65009ae161","resolution":{"observed_at":"2026-08-06T16:27:41.701034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.688756Z","title":"Integrating neural networks with a quan- tum simulator for state reconstruction,","venue":null,"work_id":"94169da3-4198-4ae5-97ad-2d79428bbfe5","year":2019},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.622289Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:937c174e43e04199c9984f203f4d87e47d963971521348060ac27cc910a9fae3","observation_id":"0b99f556-5cc1-43a3-91d5-55d7d39e628f","resolution":{"observed_at":"2026-08-06T16:27:41.692532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.680026Z","title":"Solving the quantum many-body problem with artificial neural networks,","venue":null,"work_id":"bc829c08-a41b-4819-9a22-f82f401d6955","year":2017},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.625238Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:9d87e7a9a3840c82ff34f8ef31e1cbee316b6a2d79e372371302bc1308cc1992","observation_id":"dd37b654-b76a-441c-bc26-dd2c7ebc9660","resolution":{"observed_at":"2026-08-06T16:27:41.683261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.671670Z","title":"Solving the Bose–Hubbard model with machine learning,","venue":null,"work_id":"fd6a914b-5801-43f0-9495-83be2a03d9c2","year":2017},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.627742Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:78604333a7542dc9ed36d5c0fb3e077af6758639590ac6669a42feac055d7d38","observation_id":"8d48bdbe-fba7-4e50-bd61-4f311f7bb2fb","resolution":{"observed_at":"2026-08-06T16:27:41.674682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.661617Z","title":"Multiclass classification of dephasing channels,","venue":null,"work_id":"e9b1da3c-da54-4abe-ba32-ba13fa1e446e","year":2021},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.630083Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:77981f6e8bcb75a307c3bc7decfe950f993d2374e9a886a5375f41e4ab8c5008","observation_id":"b97696d8-400a-44d4-a1be-d3e065984727","resolution":{"observed_at":"2026-08-06T16:27:41.666140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.652922Z","title":"Quantum metrology assisted by machine learning,","venue":null,"work_id":"b0858ec9-2ed7-443e-85e2-fd56eefde4bb","year":2025},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.632784Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:eb0e645cf9805c86622dd0bb0bb743d30e982dde701f1a01aae561263f022eeb","observation_id":"e0151ece-2e1c-4129-aa48-2e1daef51340","resolution":{"observed_at":"2026-08-06T16:27:41.656223Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.643887Z","title":"Bayesian Quan- tum Multiphase Estimation Algorithm,","venue":null,"work_id":"02f72b9c-107d-4612-bec4-7d7ef4ab13fe","year":2021},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.635337Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:9138539d508754adc76d158c7dcee5a6456c158b396055297817d4ccbc12664d","observation_id":"c4ad88ff-9969-47b2-aaaf-a729dcbdb0b3","resolution":{"observed_at":"2026-08-06T16:27:41.646926Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.633661Z","title":"A machine learning ap- proach to Bayesian parameter estimation,","venue":null,"work_id":"0732d236-ac67-451e-955a-cbaa0e30b609","year":2021},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.637773Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:ee29232b9cb5a816d7812d31e598dd27c3f9344659e0471ab016e1526a2de1c8","observation_id":"974e9720-29c6-48bf-92d4-d3c70e2cd166","resolution":{"observed_at":"2026-08-06T16:27:41.637584Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.624435Z","title":"Unsupervised learning of non- Hermitian topological phases,","venue":null,"work_id":"2bea2762-041c-4a88-afe3-1cca58d807b2","year":2021},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.640210Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:602adbd638e298e37b50b61769facec41c00b38699c518675574b06139088572","observation_id":"3fadd794-79e6-4e50-8ace-eb83f4385dde","resolution":{"observed_at":"2026-08-06T16:27:41.627630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.615275Z","title":"Nonuni- tary quantum machine learning,","venue":null,"work_id":"c0fcf80a-a67e-48a9-898d-6708019a5cd8","year":2025},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.642619Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:1dde633e44fee9b7ef0278d5fea57f279360b6793f35a1f4c254e5e0e1a350ea","observation_id":"ce0091a1-afc5-4864-b4e2-440b9c3659aa","resolution":{"observed_at":"2026-08-06T16:27:41.618584Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.605980Z","title":"Quantum computing models for artificial neural networks,","venue":null,"work_id":"b41004f9-c5ca-4469-b5ff-144de207e6d0","year":2021},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.645440Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:17861eeefb0b3841fbabccb3d024d1fd86cde7a200215051bc5c545a8318c0b9","observation_id":"677d6fdc-eb02-4150-81c3-45ee717c4be9","resolution":{"observed_at":"2026-08-06T16:27:41.609512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.596818Z","title":"Simulating a perceptron on a quantum computer,","venue":null,"work_id":"fc899f22-2ea0-4971-9ec6-230b00c48936","year":2015},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.647786Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:1816e14cc3aabcc2a4e14cc63d9ac40271f5a6c84afda45bb3074a64ef6a3ce2","observation_id":"9a764278-a958-4df0-8024-492f8c255485","resolution":{"observed_at":"2026-08-06T16:27:41.600309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.587036Z","title":"Quantum circuit learning,","venue":null,"work_id":"16c2f8b2-f186-48b7-9808-663cff40651b","year":2018},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.650080Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:3bbb8b6d9df1581ec143eedf4ed28c6bc0e5b808ff523e56743cc0097531ba1c","observation_id":"ec98ffb6-1758-41d0-8c66-78aa98349950","resolution":{"observed_at":"2026-08-06T16:27:41.590541Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.577028Z","title":"Data re-uploading for a universal quantum classi- fier,","venue":null,"work_id":"7e361dd9-4fd0-4878-b02e-2100dc8cfec6","year":2020},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.652447Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:0fb127c96859e8755d98085359228fb327e4a0b358bcdc6435ab426235619c62","observation_id":"0eef36fb-f02c-4235-84a6-92c87718debd","resolution":{"observed_at":"2026-08-06T16:27:41.580470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.566906Z","title":"E ffect of data encod- ing on the expressive power of variational quantum-machine- learning models,","venue":null,"work_id":"a3224c49-82fd-4927-9eb0-255aff9e27c1","year":2021},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.654972Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:e41958a7eea6c0a6e9eb9ec8f0b98f6404d43482b79ed7e153039cb1d14c49a5","observation_id":"1817672f-bb10-4560-b395-8d7339a7513c","resolution":{"observed_at":"2026-08-06T16:27:41.570801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.558448Z","title":"Hierarchical quantum classifiers,","venue":null,"work_id":"cc0da2d1-021e-4a0b-8f90-69a0580733e9","year":2018},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.657438Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:ce9365674d878119bf5feb2d78dc05e7d903c08b333d4e4eb83dbc206ca5d9d4","observation_id":"bde5ac88-c5d8-47ed-9dad-347d91b1e60e","resolution":{"observed_at":"2026-08-06T16:27:41.561398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.548801Z","title":"Quantum convolutional neural networks,","venue":null,"work_id":"909322a4-8921-4720-b7ee-f35adb600eeb","year":2019},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.659870Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:3722b538dcfbb84f4b3e05113a0f6b050eeefbc7bae5a740b75c714eaa68cefa","observation_id":"4cf9b622-4405-4f1d-9f61-aa3518cf1184","resolution":{"observed_at":"2026-08-06T16:27:41.552830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.539496Z","title":"Quan- volutional neural networks: powering image recognition with quantum circuits,","venue":null,"work_id":"c0132184-e937-4aa9-b737-fe6a903819f9","year":2020},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.662631Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:60887df27e7531e9e32bbc1087519b7f4def75b1b7ba26ca5648bef89b3d3d5b","observation_id":"9d9313a3-fc56-4776-ae31-ccb5e30c7ddd","resolution":{"observed_at":"2026-08-06T16:27:41.543430Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.530853Z","title":"Absence of Barren Plateaus in Quantum Con- volutional Neural Networks,","venue":null,"work_id":"fcd5f489-f496-40b4-8a63-302ba9a5fb13","year":2021},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.665422Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:fb8bdec2663e024ab3cfcd918764442b4854baf9658128c8f4b96595202787f3","observation_id":"60cedea6-25c7-4746-968e-e782ebd03e9c","resolution":{"observed_at":"2026-08-06T16:27:41.533893Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.521370Z","title":"Recurrent quantum neural networks,","venue":null,"work_id":"36d6ecad-2d66-4076-a19b-a00299279516","year":2020},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.668272Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:9b80f8bbe2093cf004b184c2ef01df1c926f6cc5377fd50307f1d2f6f818dd82","observation_id":"12e9fc66-5302-4a66-b19a-940f670537e5","resolution":{"observed_at":"2026-08-06T16:27:41.525118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.512537Z","title":"Harnessing disordered-ensemble quantum dynamics for machine learning,","venue":null,"work_id":"44d43c0a-9a7d-4e77-b69b-ff0bbc91ea72","year":2017},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.670643Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:0be4b4881a94be6789f655cfe8ec69643b160f7b637ba4cfc9ab01047b0cb722","observation_id":"207098f2-7e62-4c0a-b8f2-51e30d2a9d21","resolution":{"observed_at":"2026-08-06T16:27:41.515841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.503110Z","title":"Quantum reservoir processing,","venue":null,"work_id":"305de54d-0a18-4f35-9103-eb4a7e1d60eb","year":2019},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.673334Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:02049c056c7a0ee812b9e1f6029afe5c953fae17051a1e6e9055970c7d836476","observation_id":"ee632445-2857-4e7b-b639-cc5a34d29e34","resolution":{"observed_at":"2026-08-06T16:27:41.506907Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.493616Z","title":"Role of coherence in many-body Quantum Reservoir Computing,","venue":null,"work_id":"54f46a0f-0122-49f0-a64a-95c1361f21b4","year":2024},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.675677Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:fd8490b90912415f7c3756898b0489294de5389fa4dd5a961d981ab4f3d23f0a","observation_id":"d402de1b-39c1-4192-be84-b51187a96d5a","resolution":{"observed_at":"2026-08-06T16:27:41.497362Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.485061Z","title":"Dissipation as a resource for Quantum Reser- voir Computing,","venue":null,"work_id":"057a7019-b570-419c-9305-97d198aaf9fd","year":2024},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.678097Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:d1c8009cbb8bcb1c504a4e68f5de5029167044087e11250e7232ac74aa03845d","observation_id":"19c6071b-21b3-46b2-965e-b3169efc540a","resolution":{"observed_at":"2026-08-06T16:27:41.488068Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.476408Z","title":"Time-series quantum reservoir computing with weak and projective measurements,","venue":null,"work_id":"12038e5d-cb38-4f8f-9075-05f67fb78e98","year":2023},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.680462Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:3b441b918b709e401a99b5fac902cbd0adf88f67b83418d2d933feb32686fc4e","observation_id":"24e8d067-4ad8-499d-90ea-f80a8766cf1e","resolution":{"observed_at":"2026-08-06T16:27:41.479514Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.467769Z","title":"Dynamical Phase Transitions in Quantum Reservoir Computing,","venue":null,"work_id":"fb41e20b-6a11-4d7f-bee9-0e649c5f7d5a","year":2021},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.683009Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:9911aecc1c446ff372c5bfb60bf743b744439429bbb891e333f7e9f81419fae5","observation_id":"56a9a1dc-79f1-489f-b18e-e9d8946760db","resolution":{"observed_at":"2026-08-06T16:27:41.471105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.458289Z","title":"Opportunities in quantum reservoir computing and extreme learning ma- chines,","venue":null,"work_id":"2b716bca-cfac-48a7-bac6-b8468e99c79e","year":2021},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.685658Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:feec17e4b4c52a3329fdecd3a3060595665818f9ae9a46df80dd039a65951841","observation_id":"11f44527-12cb-434d-bab9-0c8d623ba2b8","resolution":{"observed_at":"2026-08-06T16:27:41.461473Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:40.688327Z","title":"Quantum ex- treme learning machines for photonic entanglement witness- ing,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.688327Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:346eb8b01bdcfb9e81a6925b9014143ea5e585fefdb15a4d6cf95af644033584","observation_id":"05791fcc-330c-4d8d-8542-84183f727efc","resolution":{"observed_at":"2026-08-06T16:27:40.688327Z","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":"2026-08-06T16:27:41.449125Z","title":"Experimen- tal Property Reconstruction in a Photonic Quantum Extreme Learning Machine,","venue":null,"work_id":"0b1b00b2-d501-42e3-b556-03fc3c2b7e5c","year":2024},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.690843Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:878450b83541d4cacc8253ec18303499433cfef12695f5440990faf0d37daff3","observation_id":"bc79635b-156c-4bdc-93a3-74680d53fbe3","resolution":{"observed_at":"2026-08-06T16:27:41.452363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.440288Z","title":"Potential and limitations of quan- tum extreme learning machines,","venue":null,"work_id":"6f319cf3-c4c5-409f-911a-6758c4b9c5b8","year":2023},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.693604Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:76e5cf4b869961350e6e3ac97a891eeb9c1710d9bc8f14b552ac9fc13857ceb9","observation_id":"801bcd84-70e4-4807-9cf8-82e07ca2f771","resolution":{"observed_at":"2026-08-06T16:27:41.443689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.430172Z","title":"Quantum ensembles of quan- tum classifiers,","venue":null,"work_id":"b2803eaf-d436-48f4-a2bb-6345a2c9a968","year":2018},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.696000Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:76ce7ba7ad5443d862b577ae038fdf9e4207fecbdc5272634c922214f4126344","observation_id":"f1d488c1-6d7c-44e7-9f6f-7d3e493161fd","resolution":{"observed_at":"2026-08-06T16:27:41.434040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.419711Z","title":"Ensemble-learning error mitigation for variational quantum shallow-circuit classifiers,","venue":null,"work_id":"3b8dc1ad-78c5-40ab-90f8-71ee3c1c7fa3","year":2024},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.698380Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:64cb1759ec79a1053d1ea429369f31cbf3c077c8c02355b7b78548b9929090c0","observation_id":"df653ea2-3c5b-493e-b3b4-f83f9400a566","resolution":{"observed_at":"2026-08-06T16:27:41.423799Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.410036Z","title":"An e fficient quantum algorithm for ensemble classification using bagging,","venue":null,"work_id":"e64ef00c-273d-409c-86bb-193f111fa48d","year":2024},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.700717Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:de5fbd1fe452dbb75be9227ef95213c58175348f8f2febb1aa5bd455961c5185","observation_id":"a9e62102-2536-4885-8a26-61f67d6be8af","resolution":{"observed_at":"2026-08-06T16:27:41.413654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.400395Z","title":"Training deep quantum neural networks,","venue":null,"work_id":"30d54ddd-4c78-4051-8602-2f14a50d6039","year":2020},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.703963Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:0e1a4e74b245f20141a968e65669fecba5346fcf2e5ae7680d9ef78c32a79fdb","observation_id":"31b099e4-44a7-4294-97ad-d501f5805610","resolution":{"observed_at":"2026-08-06T16:27:41.403961Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.391557Z","title":"Train- ability of Dissipative Perceptron-Based Quantum Neural Net- works,","venue":null,"work_id":"8e505d0b-746a-4780-a815-e7133b864e74","year":2022},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.706628Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:c99afcac5b10c0a04d1b31f38653e0fa966533805dfe0e35cc41f71f924f0103","observation_id":"74374e78-2afe-4b24-bbce-c6eeaeef89de","resolution":{"observed_at":"2026-08-06T16:27:41.394756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.382415Z","title":"Power of data in quantum machine learning,","venue":null,"work_id":"52f745c2-dff5-4943-a39f-b754ad5c3894","year":2021},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.709406Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:3f68728c474e0c156e9cacd4b7a0d22a0d7fd7cd576404ae511c0a4cdb711953","observation_id":"f278f254-0a7c-45e5-a913-1a8f3cf43bee","resolution":{"observed_at":"2026-08-06T16:27:41.385660Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.372040Z","title":"Practical quantum advantage in quantum simulation,","venue":null,"work_id":"f62a1683-016c-44d3-ab4c-4aed20626c1a","year":2022},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.711875Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:45690f03a7188d043eb4d83844325f0d66886c8be307b8edede4b45f648ba79a","observation_id":"bcc4b855-4310-4539-9218-ddc7074e6f04","resolution":{"observed_at":"2026-08-06T16:27:41.376060Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.362616Z","title":"One qubit as a universal approxi- mant,","venue":null,"work_id":"1856020a-98c4-45ca-8925-f4c12b010106","year":2021},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.714528Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:a22d363ce64f413057612cb27f0944e44571886085f5fa8952fae6fa20823889","observation_id":"e833c914-a9e3-4b07-9c10-cbe65964a84f","resolution":{"observed_at":"2026-08-06T16:27:41.366393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.353019Z","title":"Challenges and opportunities in quantum machine learning,","venue":null,"work_id":"7e681ea6-86bf-47e7-9f8b-e541b588a9fd","year":2022},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.716952Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:081e35ed09b02655517824d75a630f8cac08fa2f6e981f66efb89d3e8fd142ee","observation_id":"5bb9a23d-2e99-4a99-b3a9-9eb6d91d3aa6","resolution":{"observed_at":"2026-08-06T16:27:41.357040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.343248Z","title":"Universal expressiveness of vari- ational quantum classifiers and quantum kernels for support vector machines,","venue":null,"work_id":"d9f32a39-b375-4bf0-919e-890461c1b436","year":2023},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.719436Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:0cd01125702cf4bc4947a7e63a5d41a5fc19c75d5a74eb93ba819c7b344fa3a3","observation_id":"e94955b6-8f20-4421-bbbf-2d0bbc6ee9f6","resolution":{"observed_at":"2026-08-06T16:27:41.347063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.332427Z","title":"Quantum Boltzmann Machine,","venue":null,"work_id":"de5b9483-8f07-4c6e-8fc2-6dfcaca146eb","year":2018},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.722020Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:f2515d516a1543b62abaa77a8fb5185bde930ebffadb03abdcbac2c72fea8c8b","observation_id":"c381db2c-4e8d-429e-828c-1b5738127992","resolution":{"observed_at":"2026-08-06T16:27:41.336472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.11020","last_updated":"2021-04-17T07:29:07Z","snapshot_observed_at":"2026-08-08T04:12:42.322063Z","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":"2026-08-06T16:27:40.724598Z","title":"Supervised quantum machine learning models are kernel methods,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.724598Z"},"links":{"cited_paper":"/paper/2101.11020","citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:6cfc4beada168d09312488413e3f5b1e2dc5c95e3752a3957debb71394a685b0","observation_id":"0d2e1f8a-c11c-44ce-a267-c7c7cb7b84aa","resolution":{"observed_at":"2026-08-06T16:27:40.724598Z","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":"2026-08-06T16:27:41.323569Z","title":"Quantum phase recog- nition via quantum kernel methods,","venue":null,"work_id":"460c8f4a-993a-4a6d-9105-403720c21022","year":2023},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.727501Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:21f6a5ab568176189d20a46079610725371680859449c709793ba698acfd9969","observation_id":"c5e7f7f0-66d2-40d5-a326-a8feab895f8a","resolution":{"observed_at":"2026-08-06T16:27:41.326751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.314927Z","title":"Learning to classify quantum phases of matter with a few measurements,","venue":null,"work_id":"7d7905fd-06e3-419f-bf29-325e2f471bbe","year":2025},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.729850Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:1a3293bc42b11081f2b6f1754cf9915f903bb885217b7f79ff173556856d790a","observation_id":"9f333b60-c399-42d1-a983-91517f224aba","resolution":{"observed_at":"2026-08-06T16:27:41.318083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:40.732692Z","title":"Classically estimating ob- servables of noiseless quantum circuits,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.732692Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:c8c70617b85fb856f37c7284c7f9f4194fe2f9164534f7b96af5596f0faa70dc","observation_id":"7366f405-1ab5-42db-ba3e-3a8de2cd1633","resolution":{"observed_at":"2026-08-06T16:27:40.732692Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.13101","last_updated":"2025-05-24T09:59:24Z","snapshot_observed_at":"2026-08-02T15:07:35.252087Z","submitted_at":"2025-01-22T18:57:16Z","title":"Simulating quantum circuits with arbitrary local noise using Pauli Propagation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.13101","snapshot_observed_at":"2026-08-06T16:27:40.735100Z","title":"Simulating quantum circuits with arbitrary local noise using pauli propagation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.735100Z"},"links":{"cited_paper":"/paper/2501.13101","citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:cff778eb578ef91927f510375dc565f7366bb2a0bd85bc702f08d0fc66e24853","observation_id":"f8ef4d0a-1ce4-4ad4-af77-437d8a057909","resolution":{"observed_at":"2026-08-06T16:27:40.735100Z","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":"2026-08-06T16:27:41.305139Z","title":"Efficient Simulation of Parametrized Quan- tum Circuits under Nonunital Noise through Pauli Backprop- agation,","venue":null,"work_id":"fcaa20ea-2ebe-43f9-97ba-544fcc6a6cea","year":2025},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.737816Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:782875debd53f8325db8ca2200b7abba246b7a1e6b78889db427b6f1eea28fde","observation_id":"9b2e8d75-b501-4bde-b8a5-04adfe465a82","resolution":{"observed_at":"2026-08-06T16:27:41.309214Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1307.0411","last_updated":"2013-11-04T22:51:55Z","snapshot_observed_at":"2026-07-06T03:17:09.663659Z","submitted_at":"2013-07-01T15:38:12Z","title":"Quantum algorithms for supervised and unsupervised machine learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1307.0411","snapshot_observed_at":"2026-08-06T16:27:40.740222Z","title":"Quantum algo- rithms for supervised and unsupervised machine learning,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.740222Z"},"links":{"cited_paper":"/paper/1307.0411","citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:c180f9febe426a222a1e6288466229c2eec973fd5b3bd0270aef780b4a4e3ea6","observation_id":"965d80c5-ff9c-4414-90f8-10a5de4be0b6","resolution":{"observed_at":"2026-08-06T16:27:40.740222Z","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":"2026-08-06T16:27:41.296488Z","title":"Quantum advantage in learning from ex- periments,","venue":null,"work_id":"80efe6a3-e84f-4eb3-a8f4-3de5d5866889","year":2022},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.742858Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:2607e3ca34ba916160f823ec4ba1f7c0da190a5471825ea75991c1cfaf18d2b7","observation_id":"62885be1-ada6-4ce2-85d3-c7e5db93f85e","resolution":{"observed_at":"2026-08-06T16:27:41.299779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.286417Z","title":"Quantum Support Vector Machine for Big Data Classification,","venue":null,"work_id":"b297a136-5bc4-40bf-be81-3691c19a45ed","year":2014},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.745724Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:221908c35e727b41468ec0e38c18c15600a1911cd0f97c800cfcf6af73178243","observation_id":"4bf7ffdb-e46f-4f15-9d6b-53f74eb62d00","resolution":{"observed_at":"2026-08-06T16:27:41.290155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.277562Z","title":"Supervised learning with quantum-enhanced feature spaces,","venue":null,"work_id":"938fe2ad-7f16-4897-adbd-54faa3b31da3","year":2019},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.748373Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:8c16c03e84c0225131142d2dc4b61a41e027b857ca4868b5fde91cb0d0974b34","observation_id":"32a88328-384a-45c7-9bd2-94a018956fa1","resolution":{"observed_at":"2026-08-06T16:27:41.280779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.268830Z","title":"Quantum state discrimination,","venue":null,"work_id":"ab0cd274-7dec-4dbc-bcba-c8a71eac9b0d","year":2009},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.750744Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:ccf32efd7119a3332e9f8ef973d0a85491b837da8e52f2a50351e971267cd93a","observation_id":"2cfba6e4-4e99-42c0-a500-5244e4b1455e","resolution":{"observed_at":"2026-08-06T16:27:41.271767Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.260191Z","title":"Quantum Fingerprinting,","venue":null,"work_id":"9e2f91dc-e9f0-465b-bda3-b4251352345c","year":2001},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.754237Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:bc88cd6ff3975c0494ba52841830e875a868ce183b39e44d7aabff8911cecf59","observation_id":"44e306a6-742c-4df4-b591-32855881b00c","resolution":{"observed_at":"2026-08-06T16:27:41.263067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.250455Z","title":"Shadow tomography of quantum states,","venue":null,"work_id":"9fd03518-5ff0-40f2-afc0-82e6864181a2","year":2018},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.756676Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:85ead35f2fc57ae899b861ba2f170d56e4fa67e055fbc52a318d9227bbbe2a94","observation_id":"99858ad9-15b5-4a8a-9f94-1bd2953cfe07","resolution":{"observed_at":"2026-08-06T16:27:41.254481Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.241139Z","title":"Predicting many properties of a quantum system from very few measurements,","venue":null,"work_id":"48705a07-4afb-48d9-b328-3c89ef778138","year":2020},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.759033Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:873cfb2986b95b5af9192be9ca55d49bd29f8f0533ce0c1ca303509b831c13e7","observation_id":"523cfa85-849b-4aca-ac0e-c357632d66e6","resolution":{"observed_at":"2026-08-06T16:27:41.244277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","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":"2026-08-06T16:27:40.761407Z","title":"Adam: A method for stochastic op- timization,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.761407Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:a1239b369055b087b6f1525b97b7c04ad5acc0ad8355480bf401dc605a8c8258","observation_id":"6a870850-8e62-4f58-8ced-2b915bf30c87","resolution":{"observed_at":"2026-08-06T16:27:40.761407Z","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":"2026-08-06T16:27:41.231537Z","title":"Entanglement entropy scaling in solid-state spin arrays via capacitance measure- ments,","venue":null,"work_id":"a7c1bc39-9bdf-45a0-b603-11b93133b7bb","year":2016},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.764155Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:2620e3f591c76c2430b2079ebb77adaed4d6fcd1d66d77bcfbaa6f54d4e3365f","observation_id":"80894a23-3cc2-4c32-a9c3-cab860351a1c","resolution":{"observed_at":"2026-08-06T16:27:41.234674Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.222852Z","title":"Coherent Manipulation of Coupled Electron Spins in Semiconductor Quantum Dots,","venue":null,"work_id":"0a7cae2a-4c7d-486c-a934-00481391b79c","year":2005},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.767024Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:f5a3369706727f2a3cd2d3cef8e7f1260fe39f6fd36e7a4588740cf9f882dcac","observation_id":"279124b9-ff54-4050-9933-0f54abc71f7a","resolution":{"observed_at":"2026-08-06T16:27:41.226030Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:27:41.212487Z","title":"Radio frequency measurements of tunnel couplings and singlet–triplet spin states in si: P quantum dots,","venue":null,"work_id":"99ecc825-1adb-41a3-a268-bd4af8c1351a","year":2015},"citing_paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-06T16:27:40.769574Z"},"links":{"citing_paper":"/paper/2507.13587"},"observation_digest":"sha256:f95e5d7094d7efdc4a59283594a72fb73322d5fbf37f5b195283193ec48a1ffa","observation_id":"12fc2a60-30b1-4cdb-b5e1-9695873021e1","resolution":{"observed_at":"2026-08-06T16:27:41.216889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.13587","last_updated":"2025-07-18T00:15:14Z","latest_version":1,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-09T19:43:27.997691Z","submitted_at":"2025-07-18T00:15:14Z","title":"Enhanced image classification via hybridizing quantum dynamics with classical neural networks"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":45,"verified_exact":0,"verified_fuzzy":55},"total_outbound_references":117},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 100 of 117 outbound references and 1 inbound Pith citation observation for arXiv:2507.13587."}