{"as_of":"2026-08-09T13:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e636baaab2c18f7e5f2076f5841733d7f03b43e9b09dd477f577992f80eae50e","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:35:22.639923Z","state":"measured"},{"denominator":40,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":40,"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":"2026-07-10T19:09:03.928334Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-10T19:17:31.682805Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"cited_work":{"arxiv_id":"2507.05190","doi":null,"metadata_source":"pith","pith_arxiv_id":"2507.05190","snapshot_observed_at":"2026-07-10T19:17:31.682805Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","venue":"quant-ph","work_id":"f188ef0b-587c-4ea3-a400-b1da59b72f58","year":2025},"citing_paper":{"arxiv_id":"2607.07754","last_updated":"2026-08-04T09:26:25Z","snapshot_observed_at":"2026-08-08T09:25:06.550732Z","submitted_at":"2026-07-08T13:41:31Z","title":"Image classification via a quantum-inspired strategy involving a mixture of experts","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-10T19:09:03.928334Z"},"links":{"cited_paper":"/paper/2507.05190","citing_paper":"/paper/2607.07754"},"observation_digest":"sha256:147b2594db733f2f145e1947d7beb9ddf5cc7faa2011757e92dde912ac0a3f71","observation_id":"89351d5b-615c-49e0-9ffa-f86e6fddce33","resolution":{"observed_at":"2026-07-10T19:17:31.684476Z","resolver_source":"local_arxiv","status":"verified_exact"},"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"}}],"links":{"evidence":"/evidence","html":"/paper/2507.05190/citation-record","integrity":"/paper/2507.05190/integrity","json":"/paper/2507.05190/citation-record.json","paper":"/paper/2507.05190"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1203.5813","last_updated":"2012-11-10T22:39:06Z","snapshot_observed_at":"2026-08-09T09:29:23.604993Z","submitted_at":"2012-03-26T20:48:30Z","title":"Quantum computing and the entanglement frontier","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1203.5813","snapshot_observed_at":"2026-08-06T19:35:18.548862Z","title":"Quantum computing and the entanglement frontier,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:18.548862Z"},"links":{"cited_paper":"/paper/1203.5813","citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:773bd084420c4b8af246f8501da8e8be16d58ec2d674e72be292fca5d1f55570","observation_id":"0a1e6da8-2594-4fd5-b485-234b2c923280","resolution":{"observed_at":"2026-08-06T19:35:18.548862Z","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":"2026-08-06T19:35:28.376061Z","title":"Quantum computing in the nisq era and beyond,","venue":null,"work_id":"49fc351c-2e25-426f-9708-0cb5f2679794","year":2018},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:18.584329Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:b47de4be2f96edd9ab959d60713c591d6c74f733a143903648b4aef60be7c71b","observation_id":"9051bcb6-81c0-4ac8-9698-757550ae26b0","resolution":{"observed_at":"2026-08-06T19:35:28.455710Z","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":"2026-08-06T19:35:18.642074Z","title":"Characterizing quantum supremacy in near-term devices,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:18.642074Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:cc2a038f737ec40430031105d679d43dad0de44496af9031f0d61c56bd461101","observation_id":"08c068b8-d7a8-4aea-9125-3b56e898295e","resolution":{"observed_at":"2026-08-06T19:35:18.642074Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.09187","last_updated":"2021-06-17T15:10:02Z","snapshot_observed_at":"2026-07-06T09:06:04.750336Z","submitted_at":"2020-03-20T10:48:57Z","title":"Quantum $k$-nearest neighbors algorithm","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.09187","snapshot_observed_at":"2026-08-06T19:35:18.699564Z","title":"Quantum k-nearest neighbors algorithm,","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:18.699564Z"},"links":{"cited_paper":"/paper/2003.09187","citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:61ad26dd8b7ef5172ba19a2e78136876d60bd632997ba19b77d5ebde808bbd32","observation_id":"6bf13054-e49a-4501-a9ca-3cde52fa1300","resolution":{"observed_at":"2026-08-06T19:35:18.699564Z","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":"2026-08-06T19:35:18.754435Z","title":"Quantum support vector machine for big data classification,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:18.754435Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:0fcdab0fa1b8c66101f2da751146f8dec408b393808b96133fb18c572916394b","observation_id":"e757a6c1-1c86-4849-816a-bc16a5b777de","resolution":{"observed_at":"2026-08-06T19:35:18.754435Z","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":"2026-08-06T19:35:28.094529Z","title":"The method of quantum clustering,","venue":null,"work_id":"7249038b-e0c3-453e-bbc2-0db6572ee4d0","year":2001},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:18.811596Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:f8fe052f7d1cdbca4c08820f6fe4d55ca22ae0d35e8d87c6a3f9ae502a5fcb7a","observation_id":"57ac2045-c9d0-4c90-a920-155b8de95b1b","resolution":{"observed_at":"2026-08-06T19:35:28.242635Z","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":"2026-08-06T19:35:27.845018Z","title":"Algorithm for data clustering in pattern recognition problems based on quantum mechanics,","venue":null,"work_id":"90a04d31-49e6-454d-85eb-6ac316b4ea0c","year":2001},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:18.845871Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:06d6209a672bfb675b510a55fe03d21df90f23dc1a991cc872a2492194613997","observation_id":"695267c4-1fe7-4710-8354-7a6dd336f0dd","resolution":{"observed_at":"2026-08-06T19:35:27.960759Z","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":"2309.09907","last_updated":"2025-02-17T22:17:19Z","snapshot_observed_at":"2026-07-06T16:20:01.109566Z","submitted_at":"2023-09-18T16:15:16Z","title":"Quantum Vision Clustering","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.09907","snapshot_observed_at":"2026-08-06T19:35:18.904166Z","title":"Quantum vision clustering,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:18.904166Z"},"links":{"cited_paper":"/paper/2309.09907","citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:978a9031de1a364fd4437199e1c7c064c10cafb1ea3c36398301e1b724c76113","observation_id":"e1bdae90-8ab3-48a6-9d19-a7534696ba45","resolution":{"observed_at":"2026-08-06T19:35:18.904166Z","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":"2026-08-06T19:35:27.523477Z","title":"Qclusformer: A quantum transformer-based framework for unsupervised visual clustering,","venue":null,"work_id":"1793e6d3-6eb8-47bf-9798-883bf7d58ed9","year":2024},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:18.974492Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:f9dbc77d1fb4fafd9d77d50b572398ea0581386a201f4f08e13e1f48e40c30b9","observation_id":"52cf1244-762e-40c9-b044-6cd431d152b5","resolution":{"observed_at":"2026-08-06T19:35:27.673457Z","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":"2026-08-06T19:35:27.264291Z","title":"Quantum neural networks,","venue":null,"work_id":"4a90c84d-33d3-4392-a949-88d2f26483b7","year":2000},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:19.025620Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:933521cd9d96f991fd7134765c93c0b46f48244bd371dcf5a115bdafe14ba108","observation_id":"8cee455a-5774-493e-b5d9-758c6dda2af8","resolution":{"observed_at":"2026-08-06T19:35:27.366671Z","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":"2026-08-06T19:35:26.969979Z","title":"Quantum neural network for quantum neural computing,","venue":null,"work_id":"25021424-7625-42cb-a71a-b24251f709e7","year":2023},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:19.112888Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:cc36ec8e2494dc0a169a75bc4dcdd3741daa54027bcbb4d3bbc55c0aed9ea700","observation_id":"99424c96-9dd6-470b-a658-9dc1bb5a4d0c","resolution":{"observed_at":"2026-08-06T19:35:27.091961Z","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":"2026-08-06T19:35:26.637252Z","title":"Quantum neural network (qnn) research a scientometrics assessment of global publications during 1990-2019","venue":null,"work_id":"ca66723f-33b1-4463-b19c-6fc9da524dbd","year":1990},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:19.252213Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:f31a007fe0b3b0df3ee8058dc626ad1d36c09beccd191365e790e37acfacbd1a","observation_id":"b954029f-d3dd-41bb-9844-4b2aacd0504a","resolution":{"observed_at":"2026-08-06T19:35:26.809479Z","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":"1905.10912","last_updated":"2020-03-21T22:16:50Z","snapshot_observed_at":"2026-08-08T23:52:39.910434Z","submitted_at":"2019-05-27T00:29:45Z","title":"Defining Quantum Neural Networks via Quantum Time Evolution","version":2},"cited_work":{"arxiv_id":"1905.10912","doi":null,"metadata_source":"pith","pith_arxiv_id":"1905.10912","snapshot_observed_at":"2026-08-06T19:35:23.167513Z","title":"Defining Quantum Neural Networks via Quantum Time Evolution","venue":"cs.LG","work_id":"d9a4c768-0d66-4b93-8aa9-284b0998b27b","year":2019},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:19.350851Z"},"links":{"cited_paper":"/paper/1905.10912","citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:ed8ce87e277e49ba9a38715d55a5517eff467f4b0ad9c221b6a780ad07feee18","observation_id":"171c8ebd-c983-476d-be45-e2333211e8aa","resolution":{"observed_at":"2026-08-06T19:35:23.312851Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"1812.11042","last_updated":"2019-02-11T19:03:12Z","snapshot_observed_at":"2026-08-03T21:41:41.395846Z","submitted_at":"2018-12-28T15:29:06Z","title":"Image Processing in Quantum Computers","version":3},"cited_work":{"arxiv_id":"1812.11042","doi":null,"metadata_source":"pith","pith_arxiv_id":"1812.11042","snapshot_observed_at":"2026-08-06T19:35:22.928535Z","title":"Image Processing in Quantum Computers","venue":"cs.CV","work_id":"63b2bc0c-2251-49ee-b2c4-f6e11eb670e8","year":2018},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:19.455823Z"},"links":{"cited_paper":"/paper/1812.11042","citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:e0f31ec0808575d4561c1caca777c80a884d1e56af8adebc5dc8199279d8c8bb","observation_id":"0eee3ad1-fa04-44a5-8e24-a6b673725f67","resolution":{"observed_at":"2026-08-06T19:35:22.997381Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-06T19:35:26.392641Z","title":"Hierarchical quantum control gates for functional mri understanding,","venue":null,"work_id":"dd7b2dd0-d597-4275-a32c-d0283b1a36e2","year":2024},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:19.555762Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:7d41236861dcdff8c33e4df895019309cf26869345e456d21f3a8e85017d417e","observation_id":"59d34a3c-c090-4979-937e-4545593b4180","resolution":{"observed_at":"2026-08-06T19:35:26.505309Z","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":"2026-08-06T19:35:26.166235Z","title":"Diffusion-inspired quantum noise mitigation in parameterized quantum circuits,","venue":null,"work_id":"ef82d1ea-174c-465f-8220-1b8d7767a253","year":2025},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:19.711590Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:a31942d9acfaa14b51f1cc2d5b2f4c7b7244126cef052e6c5433343e9c575c4f","observation_id":"387a9a75-c83f-49dd-b9e2-21fb17143d7b","resolution":{"observed_at":"2026-08-06T19:35:26.277072Z","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":"2411.13378","last_updated":"2025-08-14T16:32:48Z","snapshot_observed_at":"2026-08-04T17:12:38.921651Z","submitted_at":"2024-11-20T14:59:47Z","title":"Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.13378","snapshot_observed_at":"2026-08-06T19:35:19.862079Z","title":"Quantum-brain: Quantum-inspired neu- ral network approach to vision-brain understanding,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:19.862079Z"},"links":{"cited_paper":"/paper/2411.13378","citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:03b7cbd78a1f84459cd2ec72f3ad47fee5634c95a94ac354631324555ce6d287","observation_id":"8d959142-b5d2-4398-a0c0-a6f4ef69ddcf","resolution":{"observed_at":"2026-08-06T19:35:19.862079Z","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":"2026-08-06T19:35:20.016272Z","title":"Quantum machine learning,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:20.016272Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:45f3992f21a740782dcf181d9a3024e2c86ff2d3ba0c492583491012b87d54f9","observation_id":"8d728e36-269b-43ff-a29b-f11b8a782e8e","resolution":{"observed_at":"2026-08-06T19:35:20.016272Z","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":"2026-08-06T19:35:20.135003Z","title":"Expressive power of parametrized quantum circuits,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:20.135003Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:621cb2ead3625a83add7a5a331501e84da4befc85dcf4040ce3ec563afe67dd9","observation_id":"e3d097c0-60aa-49c1-abee-827caac1b47f","resolution":{"observed_at":"2026-08-06T19:35:20.135003Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1701.06538","last_updated":"2017-01-23T18:10:00Z","snapshot_observed_at":"2026-07-06T05:27:13.416519Z","submitted_at":"2017-01-23T18:10:00Z","title":"Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1701.06538","snapshot_observed_at":"2026-08-06T19:35:20.271128Z","title":"Outrageously large neural networks: The sparsely-gated mixture-of-experts layer,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:20.271128Z"},"links":{"cited_paper":"/paper/1701.06538","citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:ad1153128370ba945e829ddb876f57b2a8fa74ca4a805b68396aae541bfe9621","observation_id":"49530719-a581-4635-bfc9-7672cf103e27","resolution":{"observed_at":"2026-08-06T19:35:20.271128Z","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":"2026-08-06T19:35:20.383662Z","title":"Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:20.383662Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:d33ddb699d557043258c953392c06322b6e1d80b1d8f4d8aa01dc88116f30144","observation_id":"bd73245a-65b0-46ee-9c82-1c1050011494","resolution":{"observed_at":"2026-08-06T19:35:20.383662Z","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":"2026-08-06T19:35:20.488970Z","title":"Adaptive mixtures of local experts,","venue":null,"work_id":null,"year":1991},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:20.488970Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:7757a7597362eb1fc584448871bf38b2ee44d82332b633624f0bbd8b14e048bf","observation_id":"f3099fca-14ae-436c-b556-e933679914d1","resolution":{"observed_at":"2026-08-06T19:35:20.488970Z","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":"2026-08-06T19:35:20.635060Z","title":"Parameterized quantum circuits as machine learning models,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:20.635060Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:d7d9fd496e425f63e5673d0c73a0f5ada20a613025bd88233da2abe35fbd3b37","observation_id":"488af2b6-2b6f-4232-bd71-f4c2e1963a6d","resolution":{"observed_at":"2026-08-06T19:35:20.635060Z","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":"2026-08-06T19:35:20.737904Z","title":"Quantum circuit learning,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:20.737904Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:567cb3f999a193f953de2cb07d0d080068b2b7180f444ee205c71895e46310e8","observation_id":"01357fcc-96c5-4f2a-b9ba-7927c2bebe16","resolution":{"observed_at":"2026-08-06T19:35:20.737904Z","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":"2026-08-06T19:35:20.878101Z","title":"Variational quantum reinforcement learning via evolutionary optimiza- tion,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:20.878101Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:f20aa1e97c530e5e428b8989b4816e46c24a688391c4c3dcdb39cc8ca9854341","observation_id":"abdc6e84-cf02-477f-b35c-0d700b8e99bb","resolution":{"observed_at":"2026-08-06T19:35:20.878101Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-06T19:35:21.005239Z","title":"Quantum algorithms for supervised and unsupervised machine learning,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:21.005239Z"},"links":{"cited_paper":"/paper/1307.0411","citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:1af3d0ec77426db8d02034f1598457dc9f8b671744ea2911e30f4c0b7f037406","observation_id":"877a3bfc-6712-4264-b9e1-7249c2f4802c","resolution":{"observed_at":"2026-08-06T19:35:21.005239Z","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":"2026-08-06T19:35:25.767486Z","title":"Quantum principal component analysis,","venue":null,"work_id":"c306a365-e759-40cc-8742-124148173d7b","year":2014},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:21.143752Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:86e60a25b84c56d1be1b5bc675d53489283d81f8f798d98fb402674df4254cbd","observation_id":"0a5733d4-15c9-4e16-a9ca-496a71a31148","resolution":{"observed_at":"2026-08-06T19:35:25.909827Z","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":"2026-08-06T19:35:25.462772Z","title":"Prediction by linear regression on a quantum computer,","venue":null,"work_id":"1f65d1d8-ef41-4783-a1e8-84d5e17f6a36","year":2016},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:21.248930Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:2166806a6a9aec29f97aa2a9ef8016db66cd7e2e8c73966721bac6cd08f7fab6","observation_id":"6d6f4a54-fdd5-439e-b737-6377542f170a","resolution":{"observed_at":"2026-08-06T19:35:25.592003Z","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":"2026-08-06T19:35:25.209583Z","title":"Quantum gradient descent for linear systems and least squares,","venue":null,"work_id":"a25556c8-3636-4c67-8eaa-151c663aeed9","year":2020},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:21.363928Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:fce2d11b864842780fe72fda2e6dff7693bb514af0a992e8a7b06dbde98e56bf","observation_id":"649d45e8-8737-4b26-9415-8581b2e68aa2","resolution":{"observed_at":"2026-08-06T19:35:25.340580Z","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":"2026-08-06T19:35:24.970707Z","title":"Neural networks with quantum architec- ture and quantum learning,","venue":null,"work_id":"41ab31be-a54a-485e-bf6b-98249d487458","year":2011},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:21.510607Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:f0705c5a30999bf69a0aaef6cff3b96d60e5b1b4279866787499a5bfab4885b6","observation_id":"41eb4738-3426-46f2-92d7-478edce93949","resolution":{"observed_at":"2026-08-06T19:35:25.058138Z","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":"2026-08-06T19:35:21.617255Z","title":"Quantum convolutional neural networks,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:21.617255Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:244462384de87410c064103175581c67d06431ea263bfb3e09a7c1371273b2e8","observation_id":"59f138ad-5b06-48af-a716-3ba7287a2bc5","resolution":{"observed_at":"2026-08-06T19:35:21.617255Z","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":"2026-08-06T19:35:24.709089Z","title":"Recurrent quantum neural networks,","venue":null,"work_id":"9b14adfe-bd21-44c5-a12c-bdca5facee30","year":2020},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:21.726764Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:9e8d168aa476d819349a6cac74cc2e7ad5e932c012001b3b91bd642aa5ad476e","observation_id":"f0f0f33d-9c2f-4568-b6b9-a74c04d9cd4b","resolution":{"observed_at":"2026-08-06T19:35:24.834996Z","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":"2026-08-06T19:35:24.369430Z","title":"Experimental quantum generative adversarial networks for image generation,","venue":null,"work_id":"421bd219-0d6f-4b8e-a446-b04985fe8928","year":2021},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:21.831175Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:dc6654174dd452b79d964c060d71cbb6f79e4242ebab146c1daacb20339b9e3d","observation_id":"c395c7a2-af5c-428d-9d8a-b51b5c9ffc9b","resolution":{"observed_at":"2026-08-06T19:35:24.541345Z","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":"2026-08-06T19:35:24.084230Z","title":"Quantum autoencoders for efficient compression of quantum data,","venue":null,"work_id":"8ae250f1-d1c1-4fc9-a5f1-18eb5f524d9d","year":2017},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:21.951060Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:1893ab507366ee4c4406c64950b81c8c8a04461bf554052b5e353a5693fb1979","observation_id":"0abbca5e-616a-4d24-a897-5c5d55dfdcb3","resolution":{"observed_at":"2026-08-06T19:35:24.220014Z","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":"2505.14789","last_updated":"2025-05-20T18:00:23Z","snapshot_observed_at":"2026-08-08T18:31:24.557427Z","submitted_at":"2025-05-20T18:00:23Z","title":"Solving MNIST with a globally trained Mixture of Quantum Experts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.14789","snapshot_observed_at":"2026-08-06T19:35:22.069237Z","title":"Solving mnist with a globally trained mixture of quantum experts,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:22.069237Z"},"links":{"cited_paper":"/paper/2505.14789","citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:96ce452c93d9161b7eba237d40d14f47f6ee2cd0a9ecdc653daa7b87bb0c6470","observation_id":"99dfdcff-7b19-4414-b1f5-400693d1e892","resolution":{"observed_at":"2026-08-06T19:35:22.069237Z","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":"2026-08-06T19:35:23.798613Z","title":"Mnist handwritten digit database,","venue":null,"work_id":"29f7bc27-0333-44b9-beb0-d8caebd595f4","year":2010},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:22.211644Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:c5419199b6090ff2790e1ce5e778c90c9b3aad4bff8093a50cf572a7c8f16c6b","observation_id":"17db0a3e-6ef5-46ca-9c14-d77ee8ec2420","resolution":{"observed_at":"2026-08-06T19:35:23.901861Z","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":"1708.07747","last_updated":"2017-09-15T21:29:49Z","snapshot_observed_at":"2026-07-06T05:56:41.814255Z","submitted_at":"2017-08-25T14:01:29Z","title":"Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.07747","snapshot_observed_at":"2026-08-06T19:35:22.346193Z","title":"Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:22.346193Z"},"links":{"cited_paper":"/paper/1708.07747","citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:c15b04d38e3286791a64e2dd02ee10ba8702f8645f4ab9ff78319e7fbb87b56a","observation_id":"ecd504ae-6c45-4e79-9320-274c158a7afe","resolution":{"observed_at":"2026-08-06T19:35:22.346193Z","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":"2026-08-06T19:35:23.560163Z","title":"Torchquantum case study for robust quantum circuits,","venue":null,"work_id":"18c7cb3c-d537-42a0-af93-b0926a268f2f","year":2022},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:22.523905Z"},"links":{"citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:bc016f05661e8613ca5855fbc18b6b001f4b74213a975f3c7a2c6b791c66d988","observation_id":"72fa3b1c-4dd2-4e9b-9300-ffb273fbd026","resolution":{"observed_at":"2026-08-06T19:35:23.640317Z","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":"2026-08-06T19:35:22.639923Z","title":"Adam: A method for stochastic optimization,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T19:35:22.639923Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2507.05190"},"observation_digest":"sha256:78414d7edf42611fe87e4d0148e6c466418004eb5e9c815d5b358348e9b69f25","observation_id":"267b600e-d3c7-4b1b-8f1b-9ddc9f097a71","resolution":{"observed_at":"2026-08-06T19:35:22.639923Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.05190","last_updated":"2025-07-07T16:49:07Z","latest_version":1,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-08T23:53:25.072497Z","submitted_at":"2025-07-07T16:49:07Z","title":"QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":19,"verified_exact":2,"verified_fuzzy":18},"total_outbound_references":39},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+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 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2507.05190."}