{"as_of":"2026-08-09T20:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9a8724691391e23112276f65c94d0ca226beabd5adc92e237c87f548007dda67","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":"2026-08-07T00:40:09.654774Z","state":"measured"},{"denominator":103,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":103,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:31:29.083613Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T04:00:56.442855Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.13185","snapshot_observed_at":"2026-08-06T20:31:29.083613Z","title":"Quantum recurrent embedding neural network","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.02832","last_updated":"2025-08-04T13:29:29Z","snapshot_observed_at":"2026-08-09T16:48:40.798695Z","submitted_at":"2025-07-03T17:43:10Z","title":"LCQNN: Linear Combination of Quantum Neural Networks","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:29.083613Z"},"links":{"cited_paper":"/paper/2506.13185","citing_paper":"/paper/2507.02832"},"observation_digest":"sha256:96737e3de408b67def2b77975d61b73e565b53ee91f06289c67b948ad166bb13","observation_id":"56ae538a-9967-4410-8de6-8528b672dd2f","resolution":{"observed_at":"2026-08-06T20:31:29.083613Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"cited_work":{"arxiv_id":"2506.13185","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.13185","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Quantum recurrent embedding neural network","venue":null,"work_id":"db3c1079-d843-4a58-ad75-d56f5132fc8a","year":2025},"citing_paper":{"arxiv_id":"2604.13735","last_updated":"2026-04-15T11:21:53Z","snapshot_observed_at":"2026-07-06T23:01:41.643335Z","submitted_at":"2026-04-15T11:21:53Z","title":"Reachability Constraints in Variational Quantum Circuits: Optimization within Polynomial Group Module","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-10T14:01:24.825234Z"},"links":{"cited_paper":"/paper/2506.13185","citing_paper":"/paper/2604.13735"},"observation_digest":"sha256:9870c10375b999c5fd5a35b15c6369398983c06b8b7e7d4d2cf5f6b9503413f7","observation_id":"215d4944-4673-4dfb-9000-8ec65e2ad6e9","resolution":{"observed_at":"2026-05-10T14:05:29.856290Z","resolver_source":"arxiv_id","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":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"cited_work":{"arxiv_id":"2506.13185","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.13185","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Quantum recurrent embedding neural network","venue":null,"work_id":"db3c1079-d843-4a58-ad75-d56f5132fc8a","year":2025},"citing_paper":{"arxiv_id":"2605.06734","last_updated":"2026-05-07T13:04:09Z","snapshot_observed_at":"2026-07-06T23:19:10.574595Z","submitted_at":"2026-05-07T13:04:09Z","title":"Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learning","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-05-11T02:00:27.185384Z"},"links":{"cited_paper":"/paper/2506.13185","citing_paper":"/paper/2605.06734"},"observation_digest":"sha256:f3884e136f1e6c7f31f83794bd57457fdab086b32b14ce4961a1dae6005b4434","observation_id":"e019a654-d798-482a-8a63-191457f5e17e","resolution":{"observed_at":"2026-05-11T04:00:56.445903Z","resolver_source":"arxiv_id","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/2506.13185/citation-record","integrity":"/paper/2506.13185/integrity","json":"/paper/2506.13185/citation-record.json","paper":"/paper/2506.13185"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:40:08.702503Z","title":"Demonstration of quantum advantage in machine learning","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.702503Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:76230e14aa2950733b3d33444428ded698271521f06ff94214d74d4cc27a19ff","observation_id":"e35773e0-68cc-467d-bfa3-7c7bb1292aa8","resolution":{"observed_at":"2026-08-07T00:40:08.702503Z","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":"2026-08-07T00:40:08.708049Z","title":"Quantum advantage with shallow circuits","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.708049Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:767a99e8f8227446f4022a47c0b98ac5da0b5369fc870f8813d87dbae02f6d6f","observation_id":"2fd32074-403b-4619-9368-8e5f3692acee","resolution":{"observed_at":"2026-08-07T00:40:08.708049Z","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":"2026-08-07T00:40:08.713212Z","title":"Quantum advantage with noisy shallow circuits","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.713212Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:f62d97c14321441d11e224226fbfa83e8cebaf0789c5d158cdf8537907de98ce","observation_id":"658fc0a8-c4ae-4048-9ef2-a60e97bd4812","resolution":{"observed_at":"2026-08-07T00:40:08.713212Z","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":"2026-08-07T00:40:08.718157Z","title":"Quantum advantage in learning from experi- ments","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.718157Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:69a033bae28890153079679f98a1a54620f78e4a7a203546343d64089989dae6","observation_id":"0097efb1-45a8-4e16-856f-585e6f12c577","resolution":{"observed_at":"2026-08-07T00:40:08.718157Z","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":"2026-08-07T00:40:08.723818Z","title":"Practical quantum advantage in quantum simulation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.723818Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:23fe8f64bb07d72367195301a19a8aac4a21d7bfa631d5a240bd00678a54b1a2","observation_id":"5776200e-bfab-4590-895b-2572f08d2cb4","resolution":{"observed_at":"2026-08-07T00:40:08.723818Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.13687","last_updated":"2024-08-24T23:08:50Z","snapshot_observed_at":"2026-08-08T17:19:45.842088Z","submitted_at":"2024-08-24T23:08:50Z","title":"Quantum error correction below the surface code threshold","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.13687","snapshot_observed_at":"2026-08-07T00:40:08.728801Z","title":"Quantum error correction below the surface code threshold","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.728801Z"},"links":{"cited_paper":"/paper/2408.13687","citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:1b0faf26b708ec3c65ee22ded7d611900d4c5dbe31b869d9e9bacb132cdc68d4","observation_id":"57e6565f-9fd4-4a71-9355-7f116d44b2f2","resolution":{"observed_at":"2026-08-07T00:40:08.728801Z","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":"2026-08-07T00:40:08.734620Z","title":"An introduction to quantum machine learning","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.734620Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:f712943ec3cf8f5e7d5a93c3697c877f46976c526ebc68d2121c368d54accafa","observation_id":"02fc24f5-db82-4aad-9739-b5c21f193a79","resolution":{"observed_at":"2026-08-07T00:40:08.734620Z","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":"2026-08-07T00:40:08.740024Z","title":"Quan- tum machine learning","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.740024Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:2f5c13d3a0f2b8e5d85bb04909009606e5ca955f0b5aac3376e64fc7271bafd6","observation_id":"698400bc-57d6-420b-8819-e11dca6d8dc9","resolution":{"observed_at":"2026-08-07T00:40:08.740024Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2011.06258","last_updated":"2020-12-05T04:06:40Z","snapshot_observed_at":"2026-08-09T04:31:30.155852Z","submitted_at":"2020-11-12T08:32:04Z","title":"Toward Trainability of Quantum Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.06258","snapshot_observed_at":"2026-08-07T00:40:08.745603Z","title":"Toward trainability of quantum neural net- works","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.745603Z"},"links":{"cited_paper":"/paper/2011.06258","citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:1498b0f3a96337f9f5d7daf1f136989927244975af26da7b4c66b8d2bae8c961","observation_id":"cd2ab0e3-736a-4379-9214-660f8277a4d6","resolution":{"observed_at":"2026-08-07T00:40:08.745603Z","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":"2026-08-07T00:40:08.750878Z","title":"Recent advances for quantum classifiers","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.750878Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:c208626485bcbcde49f50c8501784812d1279a30160d21c0f8b559fe710fcbfb","observation_id":"8874bbc9-53a8-429b-95d4-22ca632de899","resolution":{"observed_at":"2026-08-07T00:40:08.750878Z","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":"2026-08-07T00:40:08.756006Z","title":"The dilemma of quantum neural networks","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.756006Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:3f095729a3715b8b21170256cc6f932c68db792986807eb8f608f4243027fe1d","observation_id":"c1e1e69e-77ed-4861-beb3-1396f5c683c8","resolution":{"observed_at":"2026-08-07T00:40:08.756006Z","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":"2026-08-07T00:40:08.761071Z","title":"Generalization in quantum machine learning from few training data","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.761071Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:b1c2d37ee95c63da063552222ddfbc8b82f8784add90c745b684b4778610d657","observation_id":"5c985a30-4387-436d-ae62-6fd339754754","resolution":{"observed_at":"2026-08-07T00:40:08.761071Z","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":"2026-08-07T00:40:08.766367Z","title":"Challenges and opportunities in quantum machine learning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.766367Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:116bc4152694a18a542d256d84c342c93ae40c1f10d7f18fd9e4c51c463b67da","observation_id":"dcbc059f-ddc6-4532-892e-a62adc11f619","resolution":{"observed_at":"2026-08-07T00:40:08.766367Z","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":"2026-08-07T00:40:08.771254Z","title":"Recent advances for quantum neural networks in generative learning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.771254Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:2e99f427631cfacc37f0d76b793b9edbf04c633f07601d77155cd5f83c3dd126","observation_id":"8a117690-c5a6-416e-ba69-266235556dd4","resolution":{"observed_at":"2026-08-07T00:40:08.771254Z","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":"2026-08-07T00:40:08.775946Z","title":"Quantum machine learning beyond kernel methods","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.775946Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:383a6fe43a02148b81976b309b782e1f134cd2356f38c8b2ff792ca3080df9a7","observation_id":"644a9e82-caf8-4080-90e6-b556401e10f9","resolution":{"observed_at":"2026-08-07T00:40:08.775946Z","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":"2026-08-07T00:40:08.781068Z","title":"Vsql: Variational shadow quantum learning for classification","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.781068Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:34af5f932054fbe5b95902bff94319e1d4d4204a3d7fe12010d17ed29e056bd8","observation_id":"f3aafe11-f8f1-4bda-9e6c-a09d84593884","resolution":{"observed_at":"2026-08-07T00:40:08.781068Z","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":"2026-08-07T00:40:08.785606Z","title":"Power and limitations of single-qubit native quantum neural networks","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.785606Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:5e744100e71cfe7e8bcabb795e5b0a1f9cd8c5c1096c8d254742793dfda8799e","observation_id":"87a5df13-dc41-4c6a-8b89-70b3397512c4","resolution":{"observed_at":"2026-08-07T00:40:08.785606Z","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":"2026-08-07T00:40:08.791096Z","title":"Representation learning via quantum neural tangent kernels","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.791096Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:4ba74f601ebe5263d500dca436abcb83d2303a82d18babe055a81240fc45f36c","observation_id":"7b59ddde-25b8-4909-ad2f-c2ca541213cd","resolution":{"observed_at":"2026-08-07T00:40:08.791096Z","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":"2026-08-07T00:40:08.795902Z","title":"Quantum machine learning for image classification","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.795902Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:ff81580d55b21d8c95f5efbfb375cd1ac3bbd2e529024fa40dfb780f9ca2eee6","observation_id":"5cd03a47-0106-445a-bb7e-af3fecc24130","resolution":{"observed_at":"2026-08-07T00:40:08.795902Z","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":"2026-08-07T00:40:08.800517Z","title":"Parameterized quantum circuits as machine learning models","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.800517Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:f3c9b259f5add8d3e9cb81d7dcc2706fd299528767952fe190c096f6bc744574","observation_id":"d6a4bfc1-6d27-4c7b-a9d4-d16c0860393b","resolution":{"observed_at":"2026-08-07T00:40:08.800517Z","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":"2026-08-07T00:40:08.805058Z","title":"Structure optimization for parameterized quantum circuits","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.805058Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:aa43a8bdf2efde3ed79950235e4d2f7a939ff2af936bf920b1a3456eee0bd14b","observation_id":"ac45c144-a3ce-4267-9678-c9a07aca0126","resolution":{"observed_at":"2026-08-07T00:40:08.805058Z","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":"2026-08-07T00:40:08.809768Z","title":"Quantum computing in the nisq era and beyond","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.809768Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:dec783f8efd55c58998e9c93ee3650fe74feb4e9731873d97c4142ea01dbb436","observation_id":"4d30bb8d-c967-451c-a295-dafcce0210af","resolution":{"observed_at":"2026-08-07T00:40:08.809768Z","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":"2026-08-07T00:40:08.814591Z","title":"Variational quantum algorithms","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.814591Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:7fcd53bb2c853e13c9015f31b0001d82bb153570ab08c2662c4805b9f6733434","observation_id":"93df0db0-5398-4266-a874-ae32458bc3c8","resolution":{"observed_at":"2026-08-07T00:40:08.814591Z","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":"2026-08-07T00:40:08.820229Z","title":"Training variational quantum algorithms is np-hard","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.820229Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:24c0f7edfc349e7dc497bb9834ae83a722dec78c0bb6b00c2408cc6b75ce148e","observation_id":"d22a6a7a-60d3-4c75-a6d7-aa8617f1ba97","resolution":{"observed_at":"2026-08-07T00:40:08.820229Z","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":"2026-08-07T00:40:08.824948Z","title":"Quantum algorithms for quantum chemistry and quantum materials science","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.824948Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:fe35d7f887a8c137043753b7a536bc9db7a8314620416f430c4246b5d52f453a","observation_id":"3a37bfa8-4d09-4958-81f0-80d995635d6b","resolution":{"observed_at":"2026-08-07T00:40:08.824948Z","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":"2026-08-07T00:40:08.830418Z","title":"Quantum chemistry calculations on a trapped-ion quantum simulator","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.830418Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:386f02338da35f660da9b3749d3d7738f9e07897a018a430775bcf063430bf7a","observation_id":"738ff7ad-fce7-47c8-b003-4ab81332f139","resolution":{"observed_at":"2026-08-07T00:40:08.830418Z","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":"2026-08-07T00:40:08.835622Z","title":"A quantum approximate optimization algorithm","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.835622Z"},"links":{"cited_paper":"/paper/1411.4028","citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:741e6b20c1f7dc8c02fed4bfb8b79fd29f0c5bf14d60330d45c8e69d4442db1b","observation_id":"2cda1c24-1e94-4022-9e18-37af29ca6fe8","resolution":{"observed_at":"2026-08-07T00:40:08.835622Z","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":"2026-08-07T00:40:08.841546Z","title":"Quantum approximate optimization algorithm: Performance, mechanism, and implementation on near-term devices","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.841546Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:c788f0e8d371149eb7757a718970e8fec94f69500b8378b7bd1ecfc51f9f9ea9","observation_id":"3e5e340a-6d51-4321-b44c-72c791bf1698","resolution":{"observed_at":"2026-08-07T00:40:08.841546Z","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":"2026-08-07T00:40:08.846175Z","title":"Variational quantum circuits for deep reinforcement learning","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.846175Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:b9ff097eb6c7bfbb396ac8bc1579442e9eb0b440bf15cae4096d4977ba8d00a0","observation_id":"b7d9e821-a4cc-4681-bc8a-db70e9c55441","resolution":{"observed_at":"2026-08-07T00:40:08.846175Z","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":"2026-08-07T00:40:08.851212Z","title":"Learning temporal data with a variational quantum recurrent neural network","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.851212Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:857cc5d8c15a7d4a73f54ba8ef2a5b4318094a7a5dee7d2b61b863c5bf3c6c92","observation_id":"5c614ba0-7aaf-46c6-be90-2650bd157406","resolution":{"observed_at":"2026-08-07T00:40:08.851212Z","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":"2026-08-07T00:40:08.856247Z","title":"Statistical analysis of quantum state learning process in quantum neural networks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.856247Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:2ad13bdc2548931f60f98cb3a0c51d4f5e945a39e1b2a0b66b28874e7e72c9d9","observation_id":"58efa5f7-480e-4aaa-bb51-d9394f8c2065","resolution":{"observed_at":"2026-08-07T00:40:08.856247Z","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":"2026-08-07T00:40:08.861284Z","title":"Coles, Lukasz Cincio, Jarrod R","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.861284Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:ec1ffe8867e6bca17b3d1b0e9b3e5d44440a086adb0ee34eb4cf7e2d395b3ecb","observation_id":"03e198eb-a7e8-4188-9bee-961481b6b120","resolution":{"observed_at":"2026-08-07T00:40:08.861284Z","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":"2026-08-07T00:40:08.865767Z","title":"Barren plateaus in quantum neural network training landscapes","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.865767Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:3163aeb0d7609f2b391d51ce490f8e2913b79a9e392fdbc5eb18019740927f35","observation_id":"7e87572c-8e57-4dc5-ae15-d3977b1d23ff","resolution":{"observed_at":"2026-08-07T00:40:08.865767Z","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":"2026-08-07T00:40:08.870285Z","title":"Efficient processing of deep neural networks: A tutorial and survey","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.870285Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:7a922e783dbfe3efc5c8440fe815aaf6818d25b628e81d74c3b26491b8145155","observation_id":"42cea4c6-7875-4156-9c72-32b6cde7847c","resolution":{"observed_at":"2026-08-07T00:40:08.870285Z","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":"2026-08-07T00:40:08.875780Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.875780Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:9ff62b5978287c5d96da998d74fd49d7f8401d50d3ab6ad67526445e5fd2f746","observation_id":"2dff24af-dd5b-42a2-a209-7afe8d894552","resolution":{"observed_at":"2026-08-07T00:40:08.875780Z","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":"2026-08-07T00:40:08.880447Z","title":"Entanglement-induced barren plateaus","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.880447Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:29fd7ea43c0a076e2b6ddeeccaf310465750918cf6dbd7473a9b5ee5f42feb0f","observation_id":"965887ce-d0b7-42ff-ac32-45db2834353d","resolution":{"observed_at":"2026-08-07T00:40:08.880447Z","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":"2026-08-07T00:40:08.885412Z","title":"Analyzing the barren plateau phenomenon in training quantum neural networks with the zx-calculus","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.885412Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:66c323dccc14137212ee157308c82f5c7df35a113185fd93c3722bc98bdb0e24","observation_id":"567c3f05-5d2d-4ecf-8b7a-00489fdf43b3","resolution":{"observed_at":"2026-08-07T00:40:08.885412Z","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":"2026-08-07T00:40:08.889816Z","title":"Absence of barren plateaus in quantum convolutional neural networks","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.889816Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:055972ac68570da216ecbcc4ff144c10753afc15c4bb454094920107fc3169f8","observation_id":"50ee3819-a4bd-4242-ac74-07dc17decd23","resolution":{"observed_at":"2026-08-07T00:40:08.889816Z","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":"2026-08-07T00:40:08.894934Z","title":"Connecting ansatz expressibility to gradient magnitudes and barren plateaus","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.894934Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:826c1dfb27cc32cd45532cbbfbeff98c423a7fb6be81136f9abd42d81e84e0f7","observation_id":"3bbb2888-6f7f-443a-b0ce-d9e20c4753f9","resolution":{"observed_at":"2026-08-07T00:40:08.894934Z","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":"2026-08-07T00:40:08.899903Z","title":"Cost function dependent barren plateaus in shallow parametrized quantum circuits","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.899903Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:9788160925274a772a9621df184b38b7c58152f20aa14095b47299b16d9a88bf","observation_id":"ebc79557-e503-4733-8ede-2baeebc5b9b7","resolution":{"observed_at":"2026-08-07T00:40:08.899903Z","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":"2026-08-07T00:40:22.021616Z","title":"The power of quantum neural networks","venue":null,"work_id":"6e59697e-dab9-422f-9d7c-63d33a1bc22c","year":2021},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.904684Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:79b68558048fef4edfcd18107096d0b52478b8d72fde7007a1edd311c9f0e02f","observation_id":"cc93921f-76b9-4d05-8672-e68299cfb1ee","resolution":{"observed_at":"2026-08-07T00:40:22.030274Z","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":"2026-08-07T00:40:21.687211Z","title":"Barren plateaus preclude learning scramblers","venue":null,"work_id":"a49f989e-379d-4cf6-958b-86a874a73a1b","year":2021},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.909538Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:9187ddf6598a9569b6d50597932a5debab8a4305554df346b1b728a44070dd03","observation_id":"dd0fcfd3-334e-45e9-92ca-dfdf4cfcb91f","resolution":{"observed_at":"2026-08-07T00:40:21.847676Z","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":"2026-08-07T00:40:21.454393Z","title":"Noise-induced barren plateaus in variational quantum algorithms","venue":null,"work_id":"57e91506-6a90-47b5-a0ae-1acab877d155","year":2021},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.914772Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:f27f6ecdbb596c88a05cc17fd4f699d34120ab4994fd4b37c57227d4d00bcb7a","observation_id":"76045ef6-58cc-479d-955c-d99050bab906","resolution":{"observed_at":"2026-08-07T00:40:21.580787Z","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":"2026-08-07T00:40:21.279085Z","title":"Emergence of noise-induced barren plateaus in arbitrary layered noise models","venue":null,"work_id":"c9be8c45-2055-48d9-a5e3-e9eda6dc73be","year":2024},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.919990Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:0d9ac762c369fa77d4afddade15df28f6339073cf16d378c3c23df484630879d","observation_id":"8ac13618-bba3-4934-88b0-0288c1553cb7","resolution":{"observed_at":"2026-08-07T00:40:21.345959Z","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":"2026-08-07T00:40:21.136220Z","title":"Effects of noise on the overparametrization of quantum neural networks","venue":null,"work_id":"f790d822-4e1d-47b6-a110-635c90e3abf1","year":2024},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.924612Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:082dac0093db22b64b2b1f23f9958f07a266224d7078f657cd67a0f38da3703f","observation_id":"65440611-7d68-49ea-955f-7332f0ab03c7","resolution":{"observed_at":"2026-08-07T00:40:21.199377Z","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":"2026-08-07T00:40:20.959229Z","title":"Escaping from the barren plateau via gaussian initializations in deep variational quantum circuits","venue":null,"work_id":"4def4ec7-9642-46a0-95e8-690e62508586","year":2022},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.929771Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:c050edf5ebc0aac039a7f976a4a35d8a41cce6513d0b7dfac45ee24d5d19e678","observation_id":"8a6f4cd5-d889-4a72-a2ba-71e44c6c1f3e","resolution":{"observed_at":"2026-08-07T00:40:21.048001Z","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":"2026-08-07T00:40:20.839531Z","title":"Trainability enhancement of parameterized quantum circuits via reduced-domain parameter initialization","venue":null,"work_id":"80fefff5-187a-4c31-9190-f437ec775ced","year":2024},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.934718Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:ca226ee89c8d400d6c6a96592cb43387c60314ce137bb7acb6d621dc03fb674a","observation_id":"a321554d-d8f1-4c1a-a99c-6188479c96a1","resolution":{"observed_at":"2026-08-07T00:40:20.887673Z","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":"2402.13501","last_updated":"2024-02-21T03:25:26Z","snapshot_observed_at":"2026-08-07T04:03:50.597831Z","submitted_at":"2024-02-21T03:25:26Z","title":"Avoiding barren plateaus via Gaussian Mixture Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13501","snapshot_observed_at":"2026-08-07T00:40:08.939199Z","title":"Avoiding barren plateaus via gaussian mixture model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.939199Z"},"links":{"cited_paper":"/paper/2402.13501","citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:9091e1cdd26acb12831216436d0d55b51797e0e9815a1a1fa4de6da3717e30b7","observation_id":"d09d3a77-01af-41ef-9167-6121295ed584","resolution":{"observed_at":"2026-08-07T00:40:08.939199Z","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":"2026-08-07T00:40:20.755712Z","title":"Hamiltonian variational ansatz without barren plateaus","venue":null,"work_id":"8f9202d6-3acd-4c95-baf0-871f5504b77c","year":2024},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.945011Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:0ecb273d0bd38b3d33493a6ceae23663b787ffffe5fa6a8e54896884f8625150","observation_id":"c6f5eb81-0ff8-445d-af75-8c7d1e1ea398","resolution":{"observed_at":"2026-08-07T00:40:20.782890Z","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":"2026-08-07T00:40:20.619698Z","title":"Exploring entanglement and optimization within the hamiltonian variational ansatz","venue":null,"work_id":"1f99fe89-5bc7-4fa2-b620-850a813aaa8c","year":2020},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.950700Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:05680ea499cdc5a45eb01d46cb923a91f89df7cb5ab7bf4fd5784092cf95bb6e","observation_id":"076d1b42-d628-4579-bdf6-867733f60f8a","resolution":{"observed_at":"2026-08-07T00:40:20.679098Z","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":"2026-08-07T00:40:20.315430Z","title":"Characterizing barren plateaus in quantum ansätze with the adjoint representation","venue":null,"work_id":"820f691f-6e62-494f-aeed-58e854c68846","year":2024},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.955436Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:3e23c3699b2d31769f5e0b84b38f7867eb276dfc199bd13ff06d6f0c9adaca90","observation_id":"3282087c-80e3-435a-83bd-6649b306d8bf","resolution":{"observed_at":"2026-08-07T00:40:20.476546Z","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":"2026-08-07T00:40:20.068217Z","title":"Bakalov, Frédéric Sauvage, Alexander F","venue":null,"work_id":"cbcca884-73d7-4d80-9498-cfd345fa8a89","year":2024},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.960249Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:9db635436e60078bdcd322469c64257263cdf7d382ac228caa0f10620792937a","observation_id":"857594e0-78fb-4103-b019-07d34e418480","resolution":{"observed_at":"2026-08-07T00:40:20.197072Z","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":"2407.12587","last_updated":"2026-05-27T02:44:17Z","snapshot_observed_at":"2026-07-06T18:47:47.021557Z","submitted_at":"2024-07-17T14:12:30Z","title":"On the dynamical Lie algebras of quantum approximate optimization algorithms","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.12587","snapshot_observed_at":"2026-08-07T00:40:08.965079Z","title":"On the dynamical lie algebras of quantum approximate optimization algorithms","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.965079Z"},"links":{"cited_paper":"/paper/2407.12587","citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:c9a6fee7b3f7e98fc35557314d670fe61c03bf24b0a855880039c109957ffed1","observation_id":"c044c12b-a4e9-4cb5-883b-cb67b4a2e9bc","resolution":{"observed_at":"2026-08-07T00:40:08.965079Z","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":"2026-08-07T00:40:08.970859Z","title":"Analyzing the quantum approximate optimization algorithm: ans \\\" atze, symmetries, and lie algebras","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.970859Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:3e70095b5a8932a9b3d850aa4392e675ecddf803254535006f846f6a1431ccea","observation_id":"54047c4e-7a44-4acf-8cba-75fcb98a5df9","resolution":{"observed_at":"2026-08-07T00:40:08.970859Z","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":"2026-08-07T00:40:19.727772Z","title":"Towards determining the presence of barren plateaus in some chemically inspired variational quantum algorithms","venue":null,"work_id":"9d5dda5e-af41-424f-aace-1b84f4a0d1a4","year":2024},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.975802Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:a92093dd5d3ee3c74bf1fca653a0aeb251db722ec49f8bece0011e372bc945df","observation_id":"23966d0d-f7df-4515-af05-e9119f18c09e","resolution":{"observed_at":"2026-08-07T00:40:19.922748Z","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":"2026-08-07T00:40:19.521223Z","title":"Data re-uploading for a universal quantum classifier","venue":null,"work_id":"12921842-75ab-4123-9fa4-4eb2c61910cc","year":2020},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.981713Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:a275401649a4eeab1e872d173392ac10cb53bd26f119c601e523294d6c2c2b72","observation_id":"fa2caae5-2338-4967-a233-90576dfdd2e3","resolution":{"observed_at":"2026-08-07T00:40:19.606449Z","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":"2026-08-07T00:40:19.255491Z","title":"Supervised learning with quantum-enhanced feature spaces","venue":null,"work_id":"e21b8d5a-d72c-4a6a-b7df-91550461dbb3","year":2019},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.986998Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:78759af986c64296ca8ae168d9701c41a3dd7342edabccba98360de0e392cf61","observation_id":"095ad043-c9e5-4ef5-8562-a4ca256ba172","resolution":{"observed_at":"2026-08-07T00:40:19.364322Z","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":"2026-08-07T00:40:08.993601Z","title":"Supervised quantum machine learning models are kernel methods","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:08.993601Z"},"links":{"cited_paper":"/paper/2101.11020","citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:0fa524380268375e9b6701bc93d394fae36a3ad081fa41d797818c26a18933c5","observation_id":"5e939f62-807f-4f5e-98c7-69a1221a18c1","resolution":{"observed_at":"2026-08-07T00:40:08.993601Z","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":"2026-08-07T00:40:19.060263Z","title":"Chiribella, G","venue":null,"work_id":"93b950a7-044b-4111-96bd-2addb92401bb","year":2008},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.000764Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:c349ab542e5f3f5875bf1ff2dc947282c17fcec781729c66f8f1ebf8e3060890","observation_id":"1b4b5fa5-74e8-42c9-bcd9-ea8efa1bb6cf","resolution":{"observed_at":"2026-08-07T00:40:19.128428Z","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":"2411.14292","last_updated":"2025-03-31T10:11:20Z","snapshot_observed_at":"2026-07-06T19:53:52.079055Z","submitted_at":"2024-11-21T16:39:35Z","title":"Hypothesis testing of symmetry in quantum dynamics","version":2},"cited_work":{"arxiv_id":"2411.14292","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.14292","snapshot_observed_at":"2026-08-07T00:40:11.440448Z","title":"Hypothesis testing of symmetry in quantum dynamics","venue":"quant-ph","work_id":"1551f0b4-53fa-4d41-adf3-ffdd3835f271","year":2024},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.006319Z"},"links":{"cited_paper":"/paper/2411.14292","citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:e90785c57b64646e53af10330905c7285e738582cb169e99f4eea7ce72baa5c3","observation_id":"c176d29c-fb3d-4b06-b2e1-d41f5c499e32","resolution":{"observed_at":"2026-08-07T00:40:11.525231Z","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":"2026-08-07T00:40:18.918962Z","title":"Postselected quantum hypothesis testing","venue":null,"work_id":"203e5f6f-26ac-4ec8-b655-ae1fd093e762","year":2023},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.012281Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:4f3ea066086b275d53c3b1c55cd081f5060ae704ea6bbd44babfb413513707e9","observation_id":"2e14631a-e1f5-4a9b-a39a-fe48dfa45a1e","resolution":{"observed_at":"2026-08-07T00:40:18.995330Z","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":"2312.09121","last_updated":"2025-08-25T16:10:12Z","snapshot_observed_at":"2026-08-07T02:29:44.516504Z","submitted_at":"2023-12-14T16:54:57Z","title":"Does provable absence of barren plateaus imply classical simulability?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.09121","snapshot_observed_at":"2026-08-07T00:40:09.017038Z","title":"Does provable absence of barren plateaus imply classical simulability? or, why we need to rethink variational quantum computing","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.017038Z"},"links":{"cited_paper":"/paper/2312.09121","citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:e58dc00b2e7a7ff3adbe8fcc267d18c8c31ae54dd8f4cddba1ec34562c107b1d","observation_id":"c91ac50c-0c26-4b06-af7a-ecb6d0c397f9","resolution":{"observed_at":"2026-08-07T00:40:09.017038Z","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":"2026-08-07T00:40:18.728349Z","title":"Quantum singular value transformation & its algorithmic applications","venue":null,"work_id":"d4214c00-5d29-4468-919d-5ea201febf7d","year":2019},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.022362Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:ad3b9791abd5473afa11b895b5a42f32cd59864b07a38ad9fad6429290e5ac30","observation_id":"3e22be11-a212-41ae-8540-6ab19a591079","resolution":{"observed_at":"2026-08-07T00:40:18.798913Z","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":"2026-08-07T00:40:09.027243Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.027243Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:b0b57df8a849d9bd3903f92f2c367874cac5f289522767a0a2932d369ef8d464","observation_id":"ff16876e-51f9-49e5-ba22-19a02c48956d","resolution":{"observed_at":"2026-08-07T00:40:09.027243Z","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":"2026-08-07T00:40:18.555601Z","title":"Multivariable quantum signal processing (m-qsp): prophecies of the two-headed oracle","venue":null,"work_id":"ef732c71-9438-4f53-b140-703024a68acd","year":2022},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.032539Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:1d4217bc3b8393651d2d8f111ca2ab13b6c30637e50a68e3973c280dcc4f643a","observation_id":"b62b34bb-64e0-4c22-83f7-aeb17649e462","resolution":{"observed_at":"2026-08-07T00:40:18.636450Z","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":"2026-08-07T00:40:18.354877Z","title":"Quantum neural networks","venue":null,"work_id":"8f630e5e-dd5d-4e0a-bef8-b9ceee1fd388","year":2001},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.037245Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:70ab50a4e50e04b3f9674610c52a4cf3b38132d0026948ccf0b511220add7106","observation_id":"7d3d1939-8188-4c0c-a638-2c59c86d6162","resolution":{"observed_at":"2026-08-07T00:40:18.425683Z","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":"2026-08-07T00:40:18.194446Z","title":"Svore, and Nathan Wiebe","venue":null,"work_id":"44161c56-772b-4f3d-bb11-147e58faddc3","year":2020},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.042834Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:27973e55e72caf77fbb2448e679d0249cc6b8504e1b38ce8e8d64db90f77944d","observation_id":"e6eda00d-6dca-49a4-ac6c-c2e66598016f","resolution":{"observed_at":"2026-08-07T00:40:18.272931Z","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":"2026-08-07T00:40:18.030369Z","title":"Machine learning and artificial intelligence in the quantum domain: a review of recent progress","venue":null,"work_id":"88eb69a2-5662-4d8f-9e7b-e210b220b2d9","year":2018},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.049371Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:cca7dc2125f201dc4916f3a122d68cd6dc163b5fdfc04768638766293c1ecb89","observation_id":"05f7acd6-c765-4364-ad81-2003d4e78350","resolution":{"observed_at":"2026-08-07T00:40:18.125795Z","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":"0803.1193","last_updated":"2009-04-13T16:47:28Z","snapshot_observed_at":"2026-07-06T01:35:43.047731Z","submitted_at":"2008-03-07T23:52:15Z","title":"Lie Algebraic Analysis and Control of Quantum Dynamics","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"0803.1193","snapshot_observed_at":"2026-08-07T00:40:09.055192Z","title":"Lie algebraic analysis and control of quantum dynamics","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.055192Z"},"links":{"cited_paper":"/paper/0803.1193","citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:fdc8fcd4f1fb0968c334b4438b1840ac5dacab0c55917213f8cc52c9a87a7e74","observation_id":"d6592d96-e26b-4354-bace-b5e92967a042","resolution":{"observed_at":"2026-08-07T00:40:09.055192Z","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":"2026-08-07T00:40:17.807707Z","title":"Diagnosing barren plateaus with tools from quantum optimal control","venue":null,"work_id":"0abf8812-b8e4-42c3-a17a-ba7c9797fc51","year":2022},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.060897Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:2195dea09e8e809cfd580fc41931c1b9ca6ec7300d2ec5524f56240d4bfef6d6","observation_id":"532daa9f-0f24-4bf1-be11-f43ac0697723","resolution":{"observed_at":"2026-08-07T00:40:17.910130Z","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":"2026-08-07T00:40:17.607369Z","title":"Introduction to Quantum Control and Dynamics","venue":null,"work_id":"0452c446-948a-4492-b472-63d75d7d8acf","year":2021},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.065751Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:cfdcfb966101aad0f5d8b38a189679379d396253df739d883ce9146ea5e5cdb9","observation_id":"cd0f4868-93d2-423e-beef-940f7d8ad687","resolution":{"observed_at":"2026-08-07T00:40:17.689671Z","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":"2026-08-07T00:40:09.070812Z","title":"Efficient approximate unitary designs from random pauli rotations","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.070812Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:2124a01718064e5d30149a3f60602047bef72ee964a9269d7934c02f1259bbe8","observation_id":"0ece4ea2-252d-4dfd-8bf5-c3ce949e705a","resolution":{"observed_at":"2026-08-07T00:40:09.070812Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.14055","last_updated":"2024-08-01T02:19:08Z","snapshot_observed_at":"2026-07-30T23:54:19.973379Z","submitted_at":"2024-07-19T06:31:22Z","title":"Quantum Hamiltonian Embedding of Images for Data Reuploading Classifiers","version":2},"cited_work":{"arxiv_id":"2407.14055","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.14055","snapshot_observed_at":"2026-08-07T00:40:11.180182Z","title":"Quantum Hamiltonian Embedding of Images for Data Reuploading Classifiers","venue":"quant-ph","work_id":"9b595061-b0cb-4695-a1a2-24e425ea1111","year":2024},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.075817Z"},"links":{"cited_paper":"/paper/2407.14055","citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:e31c9b5a6b8199046f97b07f0e222e09fd407cfc0e098b641f137df391e078f8","observation_id":"5c659b72-2c67-4599-a15b-cfae8a3be420","resolution":{"observed_at":"2026-08-07T00:40:11.234861Z","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":"2026-08-07T00:40:17.444287Z","title":"Learnability of quantum neural networks","venue":null,"work_id":"f062dc4a-716e-4517-b662-ecb8ac5c4d32","year":2021},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.081736Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:598e2c6b04bad12861214102d932c78baad6fa3c8cca7f70011aa51679447fb6","observation_id":"229ee2e9-4466-4900-a09f-df728ffc2a68","resolution":{"observed_at":"2026-08-07T00:40:17.517855Z","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":"2026-08-07T00:40:17.225345Z","title":"Quantum phase processing and its applications in esti- mating phase and entropies","venue":null,"work_id":"d2c143b8-9c52-4287-a4a3-7a1520aefe7b","year":2023},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.086995Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:ce5a9e1319548cabdc00f2b9d9ac3831b6f0e6590cc3c5caa6051ccc51ab6536","observation_id":"6ccbd555-4034-4fb3-8a4e-23a76bf88206","resolution":{"observed_at":"2026-08-07T00:40:17.330401Z","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":"1202.5822","last_updated":"2012-02-27T03:52:03Z","snapshot_observed_at":"2026-07-06T02:43:34.993428Z","submitted_at":"2012-02-27T03:52:03Z","title":"Hamiltonian Simulation Using Linear Combinations of Unitary Operations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1202.5822","snapshot_observed_at":"2026-08-07T00:40:09.092037Z","title":"Hamiltonian simulation using linear combinations of unitary opera- tions","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.092037Z"},"links":{"cited_paper":"/paper/1202.5822","citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:2f142de825991b31a7e9c9e05538f29766b42fc438d0a8718327578c46280153","observation_id":"4ccdfaa9-845b-4873-b54d-f961fcd07dcb","resolution":{"observed_at":"2026-08-07T00:40:09.092037Z","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":"2026-08-07T00:40:17.041437Z","title":"Sequential quantum channel discrimination","venue":null,"work_id":"1fee16d9-d2f2-4969-97a1-1c1b94b97578","year":2022},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.097767Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:4f7bdde523d579bf9d7730d2b711e78bb416c813bec96357d63f6d43405acff2","observation_id":"a7f04439-cb10-410f-9bbc-f6333aa3a3f4","resolution":{"observed_at":"2026-08-07T00:40:17.111758Z","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":"2026-08-07T00:40:09.105206Z","title":"Quantum computation and quantum information","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.105206Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:5d62bf39004cc10d52a02367d3ef4691984ae5af518f2258e369302a4399e9a1","observation_id":"e85fc460-fc50-4728-88ee-0bd3c11096b5","resolution":{"observed_at":"2026-08-07T00:40:09.105206Z","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":"2026-08-07T00:40:16.860022Z","title":"Learning quantum properties from short- range correlations using multi-task networks","venue":null,"work_id":"8c843a7f-daef-4f7b-9b42-40fb71893748","year":2024},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.111591Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:f33860441dd384e547bbd0257016858d9baaa385bd28cc9941784a7eb4673a1c","observation_id":"c63cc25d-2c4b-435e-bba8-8096ef1e17a2","resolution":{"observed_at":"2026-08-07T00:40:16.942101Z","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":"2026-08-07T00:40:16.660914Z","title":"An introduction to neural networks","venue":null,"work_id":"8416b00e-95a0-4c0f-b599-53c2c79e51c7","year":2018},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.119114Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:10c1a4694b49018063df3a3e0d7038d577291e9d9021014e3178faad623b0dbe","observation_id":"ff02126e-8c37-4881-a9d2-12afffd9502c","resolution":{"observed_at":"2026-08-07T00:40:16.734603Z","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":"2408.03254","last_updated":"2024-08-06T15:27:43Z","snapshot_observed_at":"2026-07-06T18:57:31.323769Z","submitted_at":"2024-08-06T15:27:43Z","title":"Multivariable QSP and Bosonic Quantum Simulation using Iterated Quantum Signal Processing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.03254","snapshot_observed_at":"2026-08-07T00:40:09.128655Z","title":"Multivariable qsp and bosonic quantum simulation using iterated quantum signal processing","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.128655Z"},"links":{"cited_paper":"/paper/2408.03254","citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:55512672d05852b648c86eb7f5867f924139ed0b1871d17fcd08e34eb320c5f5","observation_id":"8d123611-d7b2-4ec0-892e-af98d73085c4","resolution":{"observed_at":"2026-08-07T00:40:09.128655Z","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":"2026-08-07T00:40:09.138706Z","title":"Hamiltonian simulation by qubitization","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.138706Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:a67196db305ebe98d87e1cf0dd577c2c8e0547dc7033e128b319c5c0006bf3a8","observation_id":"51544218-73a2-48ce-80e8-9feb333b1843","resolution":{"observed_at":"2026-08-07T00:40:09.138706Z","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":"2026-08-07T00:40:09.150645Z","title":"Lie-algebraic classical simulations for variational quantum computing","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.150645Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:1e772de0079aff580018860f2bf6064f24a165571c93a357cc51f94333aac0a3","observation_id":"02a1f40d-5e49-41b9-b225-93c14232068e","resolution":{"observed_at":"2026-08-07T00:40:09.150645Z","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":"2026-08-07T00:40:16.431210Z","title":"Generalizations of entanglement based on coherent states and convex sets","venue":null,"work_id":"52060663-c788-43a5-bd20-78311992962d","year":2003},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.165681Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:c8c38f019b2f0812e6f912543122b45f83572fba92d542c78182f6d12af6f8b4","observation_id":"9acc5b66-2ed5-43df-b115-62ef92270631","resolution":{"observed_at":"2026-08-07T00:40:16.533510Z","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":"2026-08-07T00:40:16.194008Z","title":"A subsystem- independent generalization of entanglement","venue":null,"work_id":"adb5e086-000f-4f61-9bd9-23a816221da8","year":2004},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.175961Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:1fc531d329768b720344c404b54d719a17822c8b4d2c09191e2e7de06676452d","observation_id":"48b1f555-712f-4684-93b2-70b8a70ed6b8","resolution":{"observed_at":"2026-08-07T00:40:16.334974Z","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":"2026-08-07T00:40:15.975503Z","title":"An initialization strategy for addressing barren plateaus in parametrized quantum circuits","venue":null,"work_id":"5b08b100-c801-426d-9502-1d072cd09e0b","year":2019},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.188094Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:17d2fb24aac7a189c1845d1629e785c33fd61f88a5ba827bbdba31c7688be91b","observation_id":"220ea2bd-f72e-41ba-bffd-90f106da1353","resolution":{"observed_at":"2026-08-07T00:40:16.073919Z","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":"2026-08-07T00:40:15.729711Z","title":"Layerwise learning for quantum neural networks","venue":null,"work_id":"bd5c14cb-3664-4595-b470-44344696c0bc","year":2021},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.201190Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:99cd4723b3c443fdbaf95b669b389de0c43bbc2e641aebc04e4a326760a61dbd","observation_id":"7c0633b7-279b-4b36-9bce-8bc1e3458dcc","resolution":{"observed_at":"2026-08-07T00:40:15.840944Z","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":"2203.02464","last_updated":"2022-03-04T17:48:57Z","snapshot_observed_at":"2026-08-08T06:24:08.599835Z","submitted_at":"2022-03-04T17:48:57Z","title":"Surviving The Barren Plateau in Variational Quantum Circuits with Bayesian Learning Initialization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.02464","snapshot_observed_at":"2026-08-07T00:40:09.215986Z","title":"Surviving the barren plateau in variational quantum circuits with bayesian learning initialization","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.215986Z"},"links":{"cited_paper":"/paper/2203.02464","citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:aa0c46f0d2c78d8c32801d2a6793d68c8c7b7e28c913a405e56e77a063ae3e71","observation_id":"0a805cdc-a404-4de8-ba95-4bd29401e530","resolution":{"observed_at":"2026-08-07T00:40:09.215986Z","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":"2026-08-07T00:40:15.562579Z","title":"Avoiding barren plateaus with classical deep neural networks","venue":null,"work_id":"e7801a47-e507-4ca8-bcf3-58d8aac6875a","year":2022},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.230940Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:8b92d2fbb5825731c60f161351c8b5b611cae1c172d668e45bc8f933b1d12650","observation_id":"877bbb56-cdcf-4da7-a124-09d41e61d948","resolution":{"observed_at":"2026-08-07T00:40:15.628275Z","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":"2026-08-07T00:40:15.375718Z","title":"Beinit: Avoiding barren plateaus in variational quantum algorithms","venue":null,"work_id":"456ded68-94ba-4e42-829a-7615ef6e76c9","year":2022},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.247725Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:e41ce0ec8cd9204b223fbd0af17e0e7aa7c1d8df021c89e0b752e4943e47f671","observation_id":"024f541f-498f-49dc-95b3-7f9219a243e3","resolution":{"observed_at":"2026-08-07T00:40:15.472494Z","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":"2026-08-07T00:40:09.264469Z","title":"Mitigating barren plateaus of variational quantum eigensolvers","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.264469Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:3edf85d6229c4aedc1f2a6e80e6acc74fd984812766f681add6a8f4326ae32db","observation_id":"dc0e3bba-be5a-4640-bb5c-0e288880cdfd","resolution":{"observed_at":"2026-08-07T00:40:09.264469Z","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":"2026-08-07T00:40:15.183543Z","title":"Quantum sequential scattering model for quantum state learning","venue":null,"work_id":"e18b431f-0c43-4a24-bd62-776c187b7c4b","year":2024},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.280396Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:13e0ed10d29fb9f77281bd960fa9a24dc32004ca1b1ec34a237591b383df1168","observation_id":"d742e99d-34d8-4b31-a950-ff08d4fa8aa8","resolution":{"observed_at":"2026-08-07T00:40:15.263640Z","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":"2026-08-07T00:40:14.991818Z","title":"Theoretical guar- antees for permutation-equivariant quantum neural networks","venue":null,"work_id":"5920e2e4-2336-4e3c-8c60-7bfd01712f25","year":2024},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.297294Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:3beec243564313792ddfc2fe5a90b91568bafb98fe0ea21b3b1a9794a1f8d7a7","observation_id":"fb5510d0-2608-40bc-8edd-a8a81ff037d2","resolution":{"observed_at":"2026-08-07T00:40:15.074954Z","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":"2026-08-07T00:40:14.814274Z","title":"Theory for equivariant quantum neural networks","venue":null,"work_id":"f2b1ef61-a254-47d5-9a5e-882743fa20eb","year":2024},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.315761Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:0e8fea33e7501ab8d8378e04432beacc8e116f39cdc1cbd1a6e3aeee810b2d08","observation_id":"e1df9de2-af3d-4949-8a2e-1d17d5641856","resolution":{"observed_at":"2026-08-07T00:40:14.905531Z","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":"2026-08-07T00:40:09.327001Z","title":"Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistry","venue":null,"work_id":null,"year":1952},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.327001Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:8715810e000b8c701cba738d2ab1171531fec02eea9491637653164a761e3291","observation_id":"2b903167-a94c-493c-8c21-cc25a19bac60","resolution":{"observed_at":"2026-08-07T00:40:09.327001Z","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":"2026-08-07T00:40:14.632518Z","title":"Efficient phase-factor evaluation in quantum signal processing","venue":null,"work_id":"d9fd651a-a593-4de9-8d8b-c14eb313cc14","year":2021},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.362370Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:72d510ab77c493dda2dd6217c4ed8ef298008f813bb13ff4a4c750441984493e","observation_id":"e7484363-2300-441b-9610-83f471cf9407","resolution":{"observed_at":"2026-08-07T00:40:14.680694Z","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":"2026-08-07T00:40:09.457328Z","title":"Heisenberg-limited ground-state energy estimation for early fault-tolerant quantum computers","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.457328Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:fdc7d67a39b13f021eeb14be44556a0106257e22516d7866036dc926531ab9f0","observation_id":"f876c309-6ebe-435c-8eaa-ff86d256073c","resolution":{"observed_at":"2026-08-07T00:40:09.457328Z","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":"2026-08-07T00:40:14.475917Z","title":"Power of one nonclean qubit","venue":null,"work_id":"47582432-9cad-4b4b-a406-759e5f339fc5","year":2017},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.523491Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:d6f5addc31977c3310f53259689bca4d363812c84c7ca0ffe9dc91618ee0de0b","observation_id":"b21ec375-81e1-494d-87b0-ed9f67180656","resolution":{"observed_at":"2026-08-07T00:40:14.537144Z","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":"2411.02751","last_updated":"2024-11-05T02:46:27Z","snapshot_observed_at":"2026-07-06T19:45:17.343568Z","submitted_at":"2024-11-05T02:46:27Z","title":"Expressivity of deterministic quantum computation with one qubit","version":1},"cited_work":{"arxiv_id":"2411.02751","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.02751","snapshot_observed_at":"2026-08-07T00:40:10.883104Z","title":"Expressivity of deterministic quantum computation with one qubit","venue":"quant-ph","work_id":"9679f986-7454-4f75-a906-ffa2e71e1e31","year":2024},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.583770Z"},"links":{"cited_paper":"/paper/2411.02751","citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:65fd615327c8dfaf29930f863e3798e74245ee483db50e41adbf62aa3e106819","observation_id":"82815838-e5a5-45a4-a24e-652b87d8dc9f","resolution":{"observed_at":"2026-08-07T00:40:10.933850Z","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":"2026-08-07T00:40:14.299225Z","title":"Deterministic quantum computation with one-clean-qubit model as an open quantum system","venue":null,"work_id":"2f4ce013-9a20-4944-a9cd-858042f2f2c9","year":2023},"citing_paper":{"arxiv_id":"2506.13185","last_updated":"2025-06-16T07:50:31Z","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:09.654774Z"},"links":{"citing_paper":"/paper/2506.13185"},"observation_digest":"sha256:b464b2fd9c0f1be10748e4ec9eca396329d90ddc61c290801ed431e000a17b52","observation_id":"2fea1662-5140-4072-b329-264ec1478c25","resolution":{"observed_at":"2026-08-07T00:40:14.366200Z","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":"2506.13185","last_updated":"2025-06-16T07:50:31Z","latest_version":1,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-09T03:48:57.567278Z","submitted_at":"2025-06-16T07:50:31Z","title":"Quantum Recurrent Embedding Neural Network"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":57,"verified_exact":3,"verified_fuzzy":40},"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 3 inbound Pith citation observations for arXiv:2506.13185."}