{"as_of":"2026-08-20T19:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1606eded07b46a42c1cd593745103701490e21d52a079226908b44144513b044","coverage":[{"denominator":18,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-14T10:48:19.458349Z","state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.10563/citation-record","integrity":"/paper/2607.10563/integrity","json":"/paper/2607.10563/citation-record.json","paper":"/paper/2607.10563"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2211.16337","last_updated":"2022-11-29T16:17:39Z","snapshot_observed_at":"2026-08-16T16:12:23.089341Z","submitted_at":"2022-11-29T16:17:39Z","title":"Quantum Feature Maps for Graph Machine Learning on a Neutral Atom Quantum Processor","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.16337","snapshot_observed_at":"2026-07-14T10:48:19.458349Z","title":"Quantum algorithmic measure- ment","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.10563","last_updated":"2026-07-12T04:41:10Z","snapshot_observed_at":"2026-08-16T01:41:33.634400Z","submitted_at":"2026-07-12T04:41:10Z","title":"The Virtuous Cycle of Quantum-Classical Machine Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-14T10:48:19.458349Z"},"links":{"cited_paper":"/paper/2211.16337","citing_paper":"/paper/2607.10563"},"observation_digest":"sha256:60484646aa7ecd10dc1e4ae4c10d169db1bfaa05182dd3c254733c381c2c8e33","observation_id":"54085e84-9183-4a7c-9908-c5f27e554395","resolution":{"observed_at":"2026-07-14T10:48:19.458349Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1803.04114","last_updated":"2018-11-16T22:55:00Z","snapshot_observed_at":"2026-08-14T19:37:17.441324Z","submitted_at":"2018-03-12T05:09:41Z","title":"Learning the quantum algorithm for state overlap","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.04114","snapshot_observed_at":"2026-07-14T10:48:19.458349Z","title":"Quantum algorithm for sys- tems of linear equations with exponentially im- proved dependence on precision","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.10563","last_updated":"2026-07-12T04:41:10Z","snapshot_observed_at":"2026-08-16T01:41:33.634400Z","submitted_at":"2026-07-12T04:41:10Z","title":"The Virtuous Cycle of Quantum-Classical Machine Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-14T10:48:19.458349Z"},"links":{"cited_paper":"/paper/1803.04114","citing_paper":"/paper/2607.10563"},"observation_digest":"sha256:11aef8a187cb40df3aa2843c0dc89f4704b8807bad5227a0f11cc64236844ccb","observation_id":"20f89999-b667-4a28-a819-5b6b55e42252","resolution":{"observed_at":"2026-07-14T10:48:19.458349Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.03787","last_updated":"2019-05-02T18:30:03Z","snapshot_observed_at":"2026-08-15T01:39:18.879763Z","submitted_at":"2018-10-09T03:10:08Z","title":"Quantum Convolutional Neural Networks","version":2},"cited_work":{"arxiv_id":"1810.03787","doi":null,"metadata_source":"pith","pith_arxiv_id":"1810.03787","snapshot_observed_at":"2026-07-14T10:50:24.225657Z","title":"Quantum Convolutional Neural Networks","venue":"quant-ph","work_id":"2450ce7e-e432-4160-9719-0854bfbcd5bf","year":2018},"citing_paper":{"arxiv_id":"2607.10563","last_updated":"2026-07-12T04:41:10Z","snapshot_observed_at":"2026-08-16T01:41:33.634400Z","submitted_at":"2026-07-12T04:41:10Z","title":"The Virtuous Cycle of Quantum-Classical Machine Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-14T10:48:19.458349Z"},"links":{"cited_paper":"/paper/1810.03787","citing_paper":"/paper/2607.10563"},"observation_digest":"sha256:a345ad65bbc2e6437d8bd82516634d4c1d6a13cf46ca20f2cc08514709ab8cc1","observation_id":"be9b0b34-71c5-45bc-b298-16fe4b26b503","resolution":{"observed_at":"2026-07-14T10:50:24.230512Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-14T10:48:19.458349Z","title":"Practical quantum advantage in quantum simulation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10563","last_updated":"2026-07-12T04:41:10Z","snapshot_observed_at":"2026-08-16T01:41:33.634400Z","submitted_at":"2026-07-12T04:41:10Z","title":"The Virtuous Cycle of Quantum-Classical Machine Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-14T10:48:19.458349Z"},"links":{"citing_paper":"/paper/2607.10563"},"observation_digest":"sha256:40fc010e53a419ad41db7bf160341e4ecd3e35b548a4c725f9999f0868a31827","observation_id":"968d059c-cda7-4458-a5f6-bdc2319b4c64","resolution":{"observed_at":"2026-07-14T10:48:19.458349Z","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":"2026-07-14T10:48:19.458349Z","title":"Quantum algorithm for linear systems of equations","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.10563","last_updated":"2026-07-12T04:41:10Z","snapshot_observed_at":"2026-08-16T01:41:33.634400Z","submitted_at":"2026-07-12T04:41:10Z","title":"The Virtuous Cycle of Quantum-Classical Machine Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-14T10:48:19.458349Z"},"links":{"citing_paper":"/paper/2607.10563"},"observation_digest":"sha256:98e298d516951d9788eb7a8e2867d1be35057e2a0fb327d04b63305dc24e48ca","observation_id":"5cbea250-3075-4f1f-aa68-0c6e743cdff1","resolution":{"observed_at":"2026-07-14T10:48:19.458349Z","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":"2026-07-14T10:48:19.458349Z","title":"A quantum advantage for a natural streaming problem","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.10563","last_updated":"2026-07-12T04:41:10Z","snapshot_observed_at":"2026-08-16T01:41:33.634400Z","submitted_at":"2026-07-12T04:41:10Z","title":"The Virtuous Cycle of Quantum-Classical Machine Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-14T10:48:19.458349Z"},"links":{"citing_paper":"/paper/2607.10563"},"observation_digest":"sha256:2beebb2aadf56718d7f558e17cd6e5c88ad5d71b1287e7324e93ee622e6d790e","observation_id":"d2851189-325d-4e76-bc51-9af15e0d67bd","resolution":{"observed_at":"2026-07-14T10:48:19.458349Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"quant-ph/9908066","last_updated":"1999-08-19T22:43:44Z","snapshot_observed_at":"2026-07-07T07:29:28.939129Z","submitted_at":"1999-08-19T22:43:44Z","title":"Theory of Quantum Error Correction for General Noise","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"quant-ph/9908066","snapshot_observed_at":"2026-07-14T10:48:19.458349Z","title":"Improvedfault-tolerant quantum simulation of condensed-phase correlated electrons via trotterization","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.10563","last_updated":"2026-07-12T04:41:10Z","snapshot_observed_at":"2026-08-16T01:41:33.634400Z","submitted_at":"2026-07-12T04:41:10Z","title":"The Virtuous Cycle of Quantum-Classical Machine Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-14T10:48:19.458349Z"},"links":{"cited_paper":"/paper/quant-ph/9908066","citing_paper":"/paper/2607.10563"},"observation_digest":"sha256:2da4fc9f9a85aba88534eafed79d02d499ac6d08cb3df1def68297cd0cbf02d9","observation_id":"a674b94b-796c-4ed3-854d-7ed89523fd43","resolution":{"observed_at":"2026-07-14T10:48:19.458349Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.12794","last_updated":"2023-08-04T17:07:43Z","snapshot_observed_at":"2026-08-20T07:47:54.255101Z","submitted_at":"2022-12-24T18:15:39Z","title":"GraphCast: Learning skillful medium-range global weather forecasting","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.12794","snapshot_observed_at":"2026-07-14T10:48:19.458349Z","title":"From architec- tures to applications: A review of neural quantum states","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10563","last_updated":"2026-07-12T04:41:10Z","snapshot_observed_at":"2026-08-16T01:41:33.634400Z","submitted_at":"2026-07-12T04:41:10Z","title":"The Virtuous Cycle of Quantum-Classical Machine Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-14T10:48:19.458349Z"},"links":{"cited_paper":"/paper/2212.12794","citing_paper":"/paper/2607.10563"},"observation_digest":"sha256:11fdbaec5abd163acb9fec3e9fd0ac703086a18597a45dbc43eac655784cf5bb","observation_id":"2d382282-6022-4671-b5d1-8d04fa4e31ae","resolution":{"observed_at":"2026-07-14T10:48:19.458349Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.17368","last_updated":"2024-11-22T10:25:01Z","snapshot_observed_at":"2026-08-16T14:56:27.632316Z","submitted_at":"2023-09-29T16:17:12Z","title":"Machine Learning for Practical Quantum Error Mitigation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.17368","snapshot_observed_at":"2026-07-14T10:48:19.458349Z","title":"Hardware-Software Co- design for Distributed Quantum Computing","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.10563","last_updated":"2026-07-12T04:41:10Z","snapshot_observed_at":"2026-08-16T01:41:33.634400Z","submitted_at":"2026-07-12T04:41:10Z","title":"The Virtuous Cycle of Quantum-Classical Machine Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-14T10:48:19.458349Z"},"links":{"cited_paper":"/paper/2309.17368","citing_paper":"/paper/2607.10563"},"observation_digest":"sha256:f02eab1c9380f900d9d8d19709e83973daeeee07d44ae275265f770cb30e9898","observation_id":"3ea4a0ad-7994-4815-8b8e-42532790a46b","resolution":{"observed_at":"2026-07-14T10:48:19.458349Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1408.3106","last_updated":"2015-12-15T21:20:23Z","snapshot_observed_at":"2026-08-14T23:23:15.469844Z","submitted_at":"2014-08-13T19:55:58Z","title":"Quantum algorithms for topological and geometric analysis of big data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1408.3106","snapshot_observed_at":"2026-07-14T10:48:19.458349Z","title":"Quantum algorithms for topological and geometric analysis of big data","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.10563","last_updated":"2026-07-12T04:41:10Z","snapshot_observed_at":"2026-08-16T01:41:33.634400Z","submitted_at":"2026-07-12T04:41:10Z","title":"The Virtuous Cycle of Quantum-Classical Machine Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-14T10:48:19.458349Z"},"links":{"cited_paper":"/paper/1408.3106","citing_paper":"/paper/2607.10563"},"observation_digest":"sha256:b03ae932543bf4df87e9f0f453f6c2a2940f3201db79d921828164333a0b4091","observation_id":"3599f2a0-6de4-47ec-aff3-a330fa18f1e8","resolution":{"observed_at":"2026-07-14T10:48:19.458349Z","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":"2026-07-14T10:48:19.458349Z","title":"Barren plateaus in quantum neural network training land- scapes","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10563","last_updated":"2026-07-12T04:41:10Z","snapshot_observed_at":"2026-08-16T01:41:33.634400Z","submitted_at":"2026-07-12T04:41:10Z","title":"The Virtuous Cycle of Quantum-Classical Machine Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-14T10:48:19.458349Z"},"links":{"citing_paper":"/paper/2607.10563"},"observation_digest":"sha256:5867da3a295daa6cd0d20a6b5f5e293bc1c88eba68f13373abe6db91d37e0cdc","observation_id":"df88685a-89b6-4f1b-8cae-c419df9515c9","resolution":{"observed_at":"2026-07-14T10:48:19.458349Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1109.2021","last_updated":"2012-02-02T13:02:31Z","snapshot_observed_at":"2026-08-19T08:06:08.548975Z","submitted_at":"2011-09-09T14:21:15Z","title":"Model-free thermodynamics of fluid vesicles","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1109.2021","snapshot_observed_at":"2026-07-14T10:48:19.458349Z","title":"A blueprint for demon- strating quantum supremacy with superconduct- ing qubits","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.10563","last_updated":"2026-07-12T04:41:10Z","snapshot_observed_at":"2026-08-16T01:41:33.634400Z","submitted_at":"2026-07-12T04:41:10Z","title":"The Virtuous Cycle of Quantum-Classical Machine Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-14T10:48:19.458349Z"},"links":{"cited_paper":"/paper/1109.2021","citing_paper":"/paper/2607.10563"},"observation_digest":"sha256:7c492112538f5d6a63fd40ecbe378211f4682de599b6558b46f34f2b5728b513","observation_id":"9fb27c7f-9905-4690-820f-7e61dcba0c66","resolution":{"observed_at":"2026-07-14T10:48:19.458349Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.01293","last_updated":"2021-04-09T01:54:20Z","snapshot_observed_at":"2026-08-20T07:56:50.482102Z","submitted_at":"2020-03-03T01:57:20Z","title":"Demonstration of the trapped-ion quantum-CCD computer architecture","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.01293","snapshot_observed_at":"2026-07-14T10:48:19.458349Z","title":"Quantum computing in the NISQ era and beyond","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2607.10563","last_updated":"2026-07-12T04:41:10Z","snapshot_observed_at":"2026-08-16T01:41:33.634400Z","submitted_at":"2026-07-12T04:41:10Z","title":"The Virtuous Cycle of Quantum-Classical Machine Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-14T10:48:19.458349Z"},"links":{"cited_paper":"/paper/2003.01293","citing_paper":"/paper/2607.10563"},"observation_digest":"sha256:943ed36c184a3556696bf0ffed11d6ffbdc111b827b9274b52719357a63cc2c2","observation_id":"351c13d9-46a4-48be-a6ff-5d17ecd13c2c","resolution":{"observed_at":"2026-07-14T10:48:19.458349Z","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":"2026-07-14T10:48:19.458349Z","title":"Universal neutral-atom quantum computer with individual optical address- ing and nondestructive readout","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10563","last_updated":"2026-07-12T04:41:10Z","snapshot_observed_at":"2026-08-16T01:41:33.634400Z","submitted_at":"2026-07-12T04:41:10Z","title":"The Virtuous Cycle of Quantum-Classical Machine Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-14T10:48:19.458349Z"},"links":{"citing_paper":"/paper/2607.10563"},"observation_digest":"sha256:123d50b68cf1c838e53f41a663bc40da3d82b73b06703418bbc88da17f3b10d8","observation_id":"dbec1860-c772-4d16-906b-e788418ab723","resolution":{"observed_at":"2026-07-14T10:48:19.458349Z","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":"2026-07-14T10:48:19.458349Z","title":"Bridging the human–AI knowledge gap through concept discovery and transfer in AlphaZero","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.10563","last_updated":"2026-07-12T04:41:10Z","snapshot_observed_at":"2026-08-16T01:41:33.634400Z","submitted_at":"2026-07-12T04:41:10Z","title":"The Virtuous Cycle of Quantum-Classical Machine Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-14T10:48:19.458349Z"},"links":{"citing_paper":"/paper/2607.10563"},"observation_digest":"sha256:b3f49481030f3eb67e0d95fc101569967da68839797ce85bb2d1ca8e534e875f","observation_id":"f1cb41ad-3adf-415c-bfe6-d9a9c58b7db2","resolution":{"observed_at":"2026-07-14T10:48:19.458349Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.20683","last_updated":"2026-05-20T01:07:23Z","snapshot_observed_at":"2026-08-12T18:16:39.736008Z","submitted_at":"2025-03-26T16:18:27Z","title":"New perspectives on quantum kernels through the lens of entangled tensor kernels","version":3},"cited_work":{"arxiv_id":"2503.20683","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.20683","snapshot_observed_at":"2026-07-14T10:50:24.236100Z","title":"New perspectives on quantum kernels through the lens of entangled tensor kernels","venue":"quant-ph","work_id":"9a933763-3fe4-41a2-b4a6-16bd06c75358","year":2025},"citing_paper":{"arxiv_id":"2607.10563","last_updated":"2026-07-12T04:41:10Z","snapshot_observed_at":"2026-08-16T01:41:33.634400Z","submitted_at":"2026-07-12T04:41:10Z","title":"The Virtuous Cycle of Quantum-Classical Machine Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-14T10:48:19.458349Z"},"links":{"cited_paper":"/paper/2503.20683","citing_paper":"/paper/2607.10563"},"observation_digest":"sha256:6c42f4a0bf941fd70f80f49f8eb32aa8bb6ae7aaf2523eadc35d2f3c758949ce","observation_id":"cc1a8f60-120d-4118-bbfd-35d88a6a780a","resolution":{"observed_at":"2026-07-14T10:50:24.237965Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-14T10:48:19.458349Z","title":"Expo- nential concentration in quantum kernel methods","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10563","last_updated":"2026-07-12T04:41:10Z","snapshot_observed_at":"2026-08-16T01:41:33.634400Z","submitted_at":"2026-07-12T04:41:10Z","title":"The Virtuous Cycle of Quantum-Classical Machine Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-14T10:48:19.458349Z"},"links":{"citing_paper":"/paper/2607.10563"},"observation_digest":"sha256:ee08e6e76eeaec3c556bac231ef8505fe749d7a526f42d7d24a90515e5dd8bae","observation_id":"adb18b82-a769-47f5-ada7-5b2281fa72a2","resolution":{"observed_at":"2026-07-14T10:48:19.458349Z","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":"2026-07-14T10:48:19.458349Z","title":"Differentiable quan- tum architecture search","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.10563","last_updated":"2026-07-12T04:41:10Z","snapshot_observed_at":"2026-08-16T01:41:33.634400Z","submitted_at":"2026-07-12T04:41:10Z","title":"The Virtuous Cycle of Quantum-Classical Machine Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-14T10:48:19.458349Z"},"links":{"citing_paper":"/paper/2607.10563"},"observation_digest":"sha256:2e10a8d21f1eb969e9848edc19f286db4fabb883aa7b751c9820c336f4c2d4a4","observation_id":"708f8186-b46b-4100-a66f-8d235d5a8574","resolution":{"observed_at":"2026-07-14T10:48:19.458349Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.10563","last_updated":"2026-07-12T04:41:10Z","latest_version":1,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-16T01:41:33.634400Z","submitted_at":"2026-07-12T04:41:10Z","title":"The Virtuous Cycle of Quantum-Classical Machine Learning"},"reference_resolution":{"displayed":18,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":16,"verified_exact":2,"verified_fuzzy":0},"total_outbound_references":18},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.10563."}