{"as_of":"2026-08-19T15:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:03d48b22cf4fd653088ce7cb51bf50362eae14010a734eaf2e0dacfd6f3540ef","coverage":[{"denominator":76,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":76,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T19:15:34.755533Z","state":"measured"},{"denominator":78,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":78,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-16T02:28:17.666888Z","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":"2026-05-16T02:30:32.358791Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"cited_work":{"arxiv_id":"2508.13054","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.13054","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Quantum Relational Knowledge Distillation","venue":null,"work_id":"a5b4a771-6309-43e6-9b8f-a09db812819a","year":2025},"citing_paper":{"arxiv_id":"2602.11092","last_updated":"2026-04-17T23:13:30Z","snapshot_observed_at":"2026-07-06T22:45:29.609382Z","submitted_at":"2026-02-11T18:00:01Z","title":"MerLin: A Discovery Engine for Photonic and Hybrid Quantum Machine Learning","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-16T02:28:17.666888Z"},"links":{"cited_paper":"/paper/2508.13054","citing_paper":"/paper/2602.11092"},"observation_digest":"sha256:1999bb5a18abbbd5453c36b22f46fcb00ab9a3c99be86603865a9d0a32e81616","observation_id":"13cd093d-e21c-461a-8505-556e84ce6b82","resolution":{"observed_at":"2026-05-16T02:30:32.362420Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"cited_work":{"arxiv_id":"2508.13054","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.13054","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Quantum Relational Knowledge Distillation","venue":null,"work_id":"a5b4a771-6309-43e6-9b8f-a09db812819a","year":2025},"citing_paper":{"arxiv_id":"2604.11112","last_updated":"2026-04-13T07:28:44Z","snapshot_observed_at":"2026-07-31T18:18:25.108995Z","submitted_at":"2026-04-13T07:28:44Z","title":"Quantum-Gated Task-interaction Knowledge Distillation for Pre-trained Model-based Class-Incremental Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T16:43:09.418230Z"},"links":{"cited_paper":"/paper/2508.13054","citing_paper":"/paper/2604.11112"},"observation_digest":"sha256:9f77ccd4d551fc447689328f2400a5d21d1ad9062252804dcf7cfb4ed8b21799","observation_id":"4219f052-92e3-484c-aa42-6b9f8de91bd1","resolution":{"observed_at":"2026-05-11T08:20:58.161351Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2508.13054/citation-record","integrity":"/paper/2508.13054/integrity","json":"/paper/2508.13054/citation-record.json","paper":"/paper/2508.13054"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T19:13:43.244393Z","title":"A survey of convolutional neural networks: analysis, applications, and prospects","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-05T19:13:43.244393Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:1690ee5aeac96513c30020aa39ff7253b2c3d773a554187de3ed02d2bdc11766","observation_id":"37faa810-fa8c-47c9-b43c-259f1b374447","resolution":{"observed_at":"2026-08-05T19:13:43.244393Z","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":"2026-08-05T19:14:34.359834Z","title":"Language models are unsupervised multitask learners","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-05T19:14:34.359834Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:d2054acf13ac1960d7d0557ad90d87800406ab2287e8612a85ff644820d28225","observation_id":"4fd291ff-7c83-4b0d-9146-6ed8f2e39cc3","resolution":{"observed_at":"2026-08-05T19:14:34.359834Z","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":"2026-08-05T19:14:50.845499Z","title":"Awq: Activation-aware weight quantization for on-device llm compression and acceleration","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-05T19:14:50.845499Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:2da43e2ac19c813d3b6ac094d248b5baa5ed772da9e2ad7410f6de247a112588","observation_id":"d27445c9-4b05-46c7-af4d-22df0648fe8c","resolution":{"observed_at":"2026-08-05T19:14:50.845499Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02531","last_updated":"2015-03-09T15:44:49Z","snapshot_observed_at":"2026-08-16T18:00:58.008096Z","submitted_at":"2015-03-09T15:44:49Z","title":"Distilling the Knowledge in a Neural Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-05T19:15:02.858903Z","title":"Distilling the knowledge in a neural network","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:02.858903Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:441fd3b1f5a86d71df27200cd73165b0d83d28dcce4299fdbc79e94710cffc89","observation_id":"98d815f8-d5d0-4829-acd7-bac57663e119","resolution":{"observed_at":"2026-08-05T19:15:02.858903Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1707.01219","last_updated":"2017-12-18T22:35:22Z","snapshot_observed_at":"2026-08-17T23:26:41.042089Z","submitted_at":"2017-07-05T05:44:02Z","title":"Like What You Like: Knowledge Distill via Neuron Selectivity Transfer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.01219","snapshot_observed_at":"2026-08-05T19:15:04.668760Z","title":"Like what you like: Knowledge distill via neuron selectivity transfer","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:04.668760Z"},"links":{"cited_paper":"/paper/1707.01219","citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:d5c666c9ce66d427c725cec23f9b52be9d827fd18e5a9edfcd173e3d5c9f96b3","observation_id":"d8fda963-2d3e-47ba-8f97-d8b89ae43a7d","resolution":{"observed_at":"2026-08-05T19:15:04.668760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1710.07535","last_updated":"2017-11-23T16:28:48Z","snapshot_observed_at":"2026-08-14T20:22:07.990437Z","submitted_at":"2017-10-19T16:04:05Z","title":"Data-Free Knowledge Distillation for Deep Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.07535","snapshot_observed_at":"2026-08-05T19:15:31.252013Z","title":"Data-free knowledge distillation for deep neural networks","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.252013Z"},"links":{"cited_paper":"/paper/1710.07535","citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:8c5922e9fa76d492c63e9b0e1afd6f895a6310c53cf7f4eb6a61ec3386240064","observation_id":"fa2583e5-e91a-47be-b551-efe5f2723dd5","resolution":{"observed_at":"2026-08-05T19:15:31.252013Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1511.03643","last_updated":"2016-02-26T02:21:52Z","snapshot_observed_at":"2026-08-17T20:00:39.118176Z","submitted_at":"2015-11-11T20:27:54Z","title":"Unifying distillation and privileged information","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.03643","snapshot_observed_at":"2026-08-05T19:15:31.267526Z","title":"Unifying distillation and privileged information","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.267526Z"},"links":{"cited_paper":"/paper/1511.03643","citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:383589429523373aa579e204ead77f00204e7c588d512137a33de7972d91aa2f","observation_id":"3cf63ad8-d1ce-4bd9-8a68-cbb051d40ae4","resolution":{"observed_at":"2026-08-05T19:15:31.267526Z","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":"2026-08-05T19:15:31.312711Z","title":"Relational knowledge distillation","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.312711Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:11c1448d3e4883fc865ebfe8b9059b85b10d61c43d4a41f6da423970551c6bf2","observation_id":"9de2cb90-76e4-4c24-876b-efc89c71394d","resolution":{"observed_at":"2026-08-05T19:15:31.312711Z","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":"2026-08-05T19:15:31.348990Z","title":"An introduction to quantum machine learning","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.348990Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:96a09c97a1a7951ed87bc26a9cddece53b2108d409e2617d208383f5f6731a58","observation_id":"e954a3bc-a21b-49a2-8cd2-bf84d0e7f3d8","resolution":{"observed_at":"2026-08-05T19:15:31.348990Z","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":"2026-08-05T19:15:31.360565Z","title":"Quantum machine learning","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.360565Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:7f813f8918f0c1fbb419d1408f380edecbd6ce3f4c040086398c6923e1fd6811","observation_id":"a4417b76-c693-4b4f-9d64-d17719072893","resolution":{"observed_at":"2026-08-05T19:15:31.360565Z","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":"2026-08-05T19:15:31.374070Z","title":"Training classical neural networks by quantum machine learning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.374070Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:77ac96174929e3f220f89f665bbc43b89a87843fce4de803a44d59dce5ebdc98","observation_id":"abb47acc-c9a5-4de8-80a0-0e20b78de8ad","resolution":{"observed_at":"2026-08-05T19:15:31.374070Z","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":"2026-08-05T19:15:31.384298Z","title":"A quantum circuit-based compression perspective for parameter-efficient learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.384298Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:d7608a466ff17f3b1431d60a325226c2ae693c51c6a71dc29ba627f5b56badb4","observation_id":"4cf2dfdb-e5a2-47b7-99a5-f303d1eabd71","resolution":{"observed_at":"2026-08-05T19:15:31.384298Z","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":"2026-08-05T19:15:31.404720Z","title":"Quantum machine learning in feature hilbert spaces","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.404720Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:5dbb54947dd40b20b31f920c788661edf71e36374db1c6ef28b271b16ef43dcc","observation_id":"c0333c6a-4591-488f-a5bb-ee99c29d9eae","resolution":{"observed_at":"2026-08-05T19:15:31.404720Z","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":"2026-08-05T19:15:31.421106Z","title":"Supervised learning with quantum-enhanced feature spaces","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.421106Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:072720189368b9836311f1a644b305a266352fdbffa605e6f3f427150c15b896","observation_id":"60cbf489-ba98-44c2-8e9c-1e4b14b456ae","resolution":{"observed_at":"2026-08-05T19:15:31.421106Z","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":"2026-08-05T19:15:31.429625Z","title":"Power of data in quantum machine learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.429625Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:851dd4e81957ad2fc5bed66e231c2dc3eee19b430370731ff0f7c3798f5a59e6","observation_id":"1dc5ec50-cd22-4434-9afd-221ae36e25af","resolution":{"observed_at":"2026-08-05T19:15:31.429625Z","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":"2026-08-05T19:15:31.436842Z","title":"Similarity of neural network representations revisited","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.436842Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:c607f4956fd52b12a9c7904b482c2adfd4ac157d4573ab7adbfacee12db0f6bb","observation_id":"8ee9d40f-cbd9-4aaf-a54f-f2d945f2e0f6","resolution":{"observed_at":"2026-08-05T19:15:31.436842Z","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":"2026-08-05T19:15:31.453091Z","title":"A kernel perspective on distillation-based collaborative learning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.453091Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:f9e75b381d6074090976476d6a223bb7ad156bfb893797ecf68b97fb9905fcdc","observation_id":"d856ef34-b212-4cd5-886d-7ac71d3d2d77","resolution":{"observed_at":"2026-08-05T19:15:31.453091Z","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":"2026-08-05T19:15:31.473984Z","title":"Rethinking centered kernel alignment in knowledge distillation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.473984Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:2cf5b2f590a1138361f3a5c54c0012c81522e9dd9ad6fcc06578fb6d1fe18c1e","observation_id":"40057502-11e4-4bea-a339-e1f3910b9a0f","resolution":{"observed_at":"2026-08-05T19:15:31.473984Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.11020","last_updated":"2021-04-17T07:29:07Z","snapshot_observed_at":"2026-08-16T18:49:49.818172Z","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":"2026-08-05T19:15:31.503396Z","title":"Supervised quantum machine learning models are kernel methods","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.503396Z"},"links":{"cited_paper":"/paper/2101.11020","citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:075a193cc30a65f205efd3e142d68372ccdb0e98776891d5a388e4acc3e70061","observation_id":"3855df1b-4915-4a9b-a3a1-ebcd65ceca62","resolution":{"observed_at":"2026-08-05T19:15:31.503396Z","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":"2026-08-05T19:15:31.546289Z","title":"Exponential concentration in quantum kernel methods","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.546289Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:cb69f4934fa2dd80028c2300e542701eb72dfad99c0cf74798d15c4b943b6433","observation_id":"b42230a7-e31d-4ea5-ae7b-c1551295e369","resolution":{"observed_at":"2026-08-05T19:15:31.546289Z","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":"2026-08-05T19:15:31.568947Z","title":"Neural quantum kernels: Training quantum kernels with quantum neural networks","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.568947Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:a3256cf41919aaff8e93190ae9a63faf9188a7373fc1167dc50ed2cd9acaf7cb","observation_id":"4610d1bc-7583-4e29-9f0f-d56518b9a0c5","resolution":{"observed_at":"2026-08-05T19:15:31.568947Z","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":"2026-08-05T19:15:31.605070Z","title":"Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition","venue":null,"work_id":null,"year":1965},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.605070Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:df43719f07a22e52e81adfc2df648b7687088b97a0b4314670495911e69b8554","observation_id":"a257195e-5cc0-4616-ba62-54a8c14e474f","resolution":{"observed_at":"2026-08-05T19:15:31.605070Z","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":"2026-08-05T19:15:31.620151Z","title":"A training algorithm for optimal margin classifiers","venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.620151Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:905b0a05a19348b47e87edacb522a2a57684c82f5d15ba578a2aa9d806c4a669","observation_id":"0ac8aa0e-b152-4366-95c4-fa28ef2e068e","resolution":{"observed_at":"2026-08-05T19:15:31.620151Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1609.07843","last_updated":"2016-09-26T04:06:13Z","snapshot_observed_at":"2026-08-17T01:46:43.513643Z","submitted_at":"2016-09-26T04:06:13Z","title":"Pointer Sentinel Mixture Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.07843","snapshot_observed_at":"2026-08-05T19:15:31.633417Z","title":"Pointer sentinel mixture models","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.633417Z"},"links":{"cited_paper":"/paper/1609.07843","citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:5ba7ce85a7da7b9a619734c304a0b2c4663f9cd5a98be3d45bc071a9f7e672cc","observation_id":"18ddb8e0-875c-48e9-bd49-2a583d932d03","resolution":{"observed_at":"2026-08-05T19:15:31.633417Z","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":"2026-08-05T19:15:31.649522Z","title":"Building a large annotated corpus of english: The penn treebank","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.649522Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:04d5847139790e0c92230118a9d3cf481eec018efd3301f7088227d34662a07d","observation_id":"59be61b4-5c48-4e55-9e28-c8984a6853b7","resolution":{"observed_at":"2026-08-05T19:15:31.649522Z","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":"2026-08-05T19:15:31.658597Z","title":"Learning word vectors for sentiment analysis","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.658597Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:df5144fd7a762462e3759a9340d6b81ad771a756aefd8a5b1b9b26da36fd4aee","observation_id":"22b45e65-a751-4eb6-93a4-51007fc203ba","resolution":{"observed_at":"2026-08-05T19:15:31.658597Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13205","last_updated":"2025-08-01T06:53:55Z","snapshot_observed_at":"2026-08-18T21:44:54.802899Z","submitted_at":"2025-05-19T14:56:24Z","title":"Quantum Knowledge Distillation for Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.13205","snapshot_observed_at":"2026-08-05T19:15:31.670393Z","title":"Quantum knowledge distillation for large language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.670393Z"},"links":{"cited_paper":"/paper/2505.13205","citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:7d52e30ce58de33997eceed3cfc58668ff10d301e3f5c906f70205ba133bc7bf","observation_id":"7ff43cbe-cdfc-42a6-ab6e-34df6d4c168a","resolution":{"observed_at":"2026-08-05T19:15:31.670393Z","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":"2026-08-05T19:15:31.680906Z","title":"Quantum computation and quantum information","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.680906Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:836aa90c8d81f766b15ce02efbfac9acc1e821084ac4796f14e2f554b71dbe49","observation_id":"ccd2a422-ce7d-4888-829a-942d023d7427","resolution":{"observed_at":"2026-08-05T19:15:31.680906Z","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":"2026-08-05T19:15:31.689093Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.689093Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:228a8daf12621d25d22b6cfc843454321173df44e1738d6b5b8882f7aa4f5bed","observation_id":"f4873108-b16d-4d96-9388-235e836352fa","resolution":{"observed_at":"2026-08-05T19:15:31.689093Z","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":"2026-08-05T19:15:31.707357Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.707357Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:1f110cf10736bf690f1e37d77eb3567fb318cc1727edd6c7f723ded56b9863c6","observation_id":"d611f06b-a1b1-4b01-b1e0-e3de7e785a62","resolution":{"observed_at":"2026-08-05T19:15:31.707357Z","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":"2026-08-05T19:15:31.717917Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.717917Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:ad71c8688a2550290fe6dbd733fdd06517f807dee1a423baa22ce21b4ca092a0","observation_id":"cbed9415-3c6b-450b-9312-0fb9e8f1a3bd","resolution":{"observed_at":"2026-08-05T19:15:31.717917Z","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":"2026-08-05T19:15:31.723825Z","title":"Learning phase transitions from dynamics","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.723825Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:d923f3d38f29738c9aa0935df4e39a1c810bbcc116bd9807820b1993181a9019","observation_id":"50693405-6e28-4194-916b-7653bf0ec1e9","resolution":{"observed_at":"2026-08-05T19:15:31.723825Z","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":"2026-08-05T19:15:31.731564Z","title":"Probing many-body localization with neural networks","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.731564Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:dbc74a7e8db33055fc05211c653f9efea4c73386ee0f245279fab66af0d59d09","observation_id":"2b2594ef-a35d-4dcc-bda8-5b4b6e7c85e3","resolution":{"observed_at":"2026-08-05T19:15:31.731564Z","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":"2026-08-05T19:15:31.738175Z","title":"Machine learning the thermodynamic arrow of time","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.738175Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:8cc44bea621e9f21eec898c3344c4c58066562393492094439cb99954259c69d","observation_id":"b8e158bc-cc90-4e6a-ae8e-3c3b34b39d19","resolution":{"observed_at":"2026-08-05T19:15:31.738175Z","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":"2026-08-05T19:15:31.744202Z","title":"Random sampling neural network for quantum many-body problems","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.744202Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:1d693f7b6d36842c411d455393d823892487ce64b0168d44e99efac4b8f02b75","observation_id":"bc3e2365-6df8-46ec-97bb-6a51bab2d0e4","resolution":{"observed_at":"2026-08-05T19:15:31.744202Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1802.06002","last_updated":"2018-08-30T20:23:02Z","snapshot_observed_at":"2026-08-14T19:45:10.953329Z","submitted_at":"2018-02-16T16:09:34Z","title":"Classification with Quantum Neural Networks on Near Term Processors","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.06002","snapshot_observed_at":"2026-08-05T19:15:31.751355Z","title":"Classification with quantum neural networks on near term processors","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.751355Z"},"links":{"cited_paper":"/paper/1802.06002","citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:a6f0f2bb7f1c65e1735c4722c316843cdfe4d8f25096fb4f7629d2a998d53b8a","observation_id":"d84945af-5199-45b4-80cc-9f5719acc46b","resolution":{"observed_at":"2026-08-05T19:15:31.751355Z","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":"2026-08-05T19:15:31.760796Z","title":"Quantum machine learning: a classical perspective","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.760796Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:38f0777a5d28c03f1d4352a317603171348c4023ea66890e88530e6ce43145b1","observation_id":"42456634-9ff2-428f-af86-01dd313dc157","resolution":{"observed_at":"2026-08-05T19:15:31.760796Z","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":"2026-08-05T19:15:31.767603Z","title":"Quantum machine learning in feature hilbert spaces","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.767603Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:e7b6202d091de14b7c3d09aee42fba51669b713d32cdbda79574e283dea7ce8c","observation_id":"a6aea769-9f4e-420e-b8d5-3f1bfefd9d63","resolution":{"observed_at":"2026-08-05T19:15:31.767603Z","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":"2026-08-05T19:15:31.775673Z","title":null,"venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.775673Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:60df63db6b7f9636607a427ebec20ac8e033877e4d8bacd0f93a5bc3633c0f4f","observation_id":"7aa1083f-6bf1-4d74-972e-ced60316739b","resolution":{"observed_at":"2026-08-05T19:15:31.775673Z","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":"2026-08-05T19:15:31.794640Z","title":"A grover-search based quantum learning scheme for classification","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.794640Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:a63df130b90d4634d1c04188a2ea36d5781bbe8ed429f72342faa24e1922ac39","observation_id":"2210c5c5-6eb6-40c7-9b05-1bfdf908ab16","resolution":{"observed_at":"2026-08-05T19:15:31.794640Z","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":"2026-08-05T19:15:31.805544Z","title":"Olson, Matthias Degroote, Peter D","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.805544Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:dc2a4ad67e641d32162d02d1327683bd5fb998fc14da078020105eb8530f9771","observation_id":"26d414b9-eb4a-4cb0-a051-e6a21588cc6f","resolution":{"observed_at":"2026-08-05T19:15:31.805544Z","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":"2026-08-05T19:15:31.846296Z","title":"Quantum-enhanced support vector machine for large-scale multi-class stellar classification","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.846296Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:e505601bc4358b7f05b757a52fd803d0067ba319af1da7c6035e0bb7907aade4","observation_id":"08603555-a7c3-4e56-bf9b-fd3151e108b4","resolution":{"observed_at":"2026-08-05T19:15:31.846296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05828","last_updated":"2024-03-18T08:54:10Z","snapshot_observed_at":"2026-08-19T13:54:13.164979Z","submitted_at":"2024-03-09T07:38:45Z","title":"Multi-GPU-Enabled Hybrid Quantum-Classical Workflow in Quantum-HPC Middleware: Applications in Quantum Simulations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05828","snapshot_observed_at":"2026-08-05T19:15:31.852896Z","title":"Multi-gpu-enabled hybrid quantum-classical workflow in quantum-hpc middleware: Applications in quantum simulations","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.852896Z"},"links":{"cited_paper":"/paper/2403.05828","citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:055c932c62637bd98be062c01e4f69184a254a6b2c95ba1968967b5c97851095","observation_id":"fff92fee-5825-4390-9920-5cb3d1da961b","resolution":{"observed_at":"2026-08-05T19:15:31.852896Z","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":"2026-08-05T19:15:31.860183Z","title":"Reinforcement learning quantum local search","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.860183Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:2fd9c7adc064b3bac6ae0b26de8124b68dfaf8464790533cc1b69b48bf2656c5","observation_id":"d73812f2-eb36-459e-8c52-08c4ad7423c1","resolution":{"observed_at":"2026-08-05T19:15:31.860183Z","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":"2026-08-05T19:15:31.867802Z","title":"Practical quantum search by variational quantum eigensolver on noisy intermediate-scale quantum hardware","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.867802Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:985477c7aca4a470a07b743459ea50925622adffc1174b596fd314a89d1224b5","observation_id":"cf7652c8-11da-4202-84f6-92e0dbb266d8","resolution":{"observed_at":"2026-08-05T19:15:31.867802Z","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":"2026-08-05T19:15:31.885402Z","title":"Quantum natural language processing on near-term quantum computers","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.885402Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:1fc09815c717b5404ed0c5c78b9bfedbbdbf312f0891e7a35a0b0ce121525b5f","observation_id":"c4f80f51-be60-4be8-9a63-aac3c6511e6a","resolution":{"observed_at":"2026-08-05T19:15:31.885402Z","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":"2026-08-05T19:15:31.970692Z","title":"Implementation of trained factorization machine recommendation system on quantum annealer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:31.970692Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:984ab67068f8441638da659b8dae0ee91f0270c0522facf693914dcffe7b5f45","observation_id":"bff37d98-e893-438a-9f49-d324669a1a2e","resolution":{"observed_at":"2026-08-05T19:15:31.970692Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1603.08675","last_updated":"2016-09-22T09:32:16Z","snapshot_observed_at":"2026-08-14T22:04:07.347684Z","submitted_at":"2016-03-29T08:25:22Z","title":"Quantum Recommendation Systems","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1603.08675","snapshot_observed_at":"2026-08-05T19:15:32.120515Z","title":"Quantum recommendation systems","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:32.120515Z"},"links":{"cited_paper":"/paper/1603.08675","citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:8f12e78a7ff07ac63a4f632aff61c7899bc4073d932f63f582c67279638114d6","observation_id":"8c2c7612-30e4-4512-ac62-2541c09a90be","resolution":{"observed_at":"2026-08-05T19:15:32.120515Z","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":"2026-08-05T19:15:32.212093Z","title":"Quantum generative adversarial networks","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:32.212093Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:5661cf3e8937b6fb8ede07be83a8688ab65b24ff26aa13ea586adbb03240ab71","observation_id":"9894f826-9e73-4634-8a32-e2991e9dcbb2","resolution":{"observed_at":"2026-08-05T19:15:32.212093Z","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":"2026-08-05T19:15:32.346368Z","title":"Learnability of quantum neural networks","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:32.346368Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:916f383b9aadccbb4f2b923ef304af66ac461272da55ceb3cf7a8c52a9ed0db7","observation_id":"bee9085c-4e4d-4d84-9bf2-10eb75943526","resolution":{"observed_at":"2026-08-05T19:15:32.346368Z","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":"2026-08-05T19:15:32.441050Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:32.441050Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:f18d1e21a3d3c5d956c68747bf6aaa35ccf100f838143419fb072e57a5154f3f","observation_id":"19e6e4b8-4db4-4446-9fa0-21633a64e79d","resolution":{"observed_at":"2026-08-05T19:15:32.441050Z","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":"2026-08-05T19:15:32.455800Z","title":"Expressive power of parametrized quantum circuits","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:32.455800Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:3594ae1021323e935d9bb2078d888e556154be065cce3533ea557bb5cdc354b6","observation_id":"0a04175c-13a1-4f7e-9033-b7889707f1dc","resolution":{"observed_at":"2026-08-05T19:15:32.455800Z","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":"2026-08-05T19:15:32.506076Z","title":"Learning quantum phase estimation by variational quantum circuits","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:32.506076Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:bd6efcc9b0c9bdb26373c2039bc357f00bb982c688224fe43ff76b3fb24fd949","observation_id":"249aaca1-5835-410c-bcf5-4c8633e3e6db","resolution":{"observed_at":"2026-08-05T19:15:32.506076Z","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":"2026-08-05T19:15:32.572664Z","title":"Escaping from the barren plateau via gaussian initializations in deep variational quantum circuits","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:32.572664Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:6539f7e01d353b74071f1b797554be5606d0b7c074f54a85997a59da3e0613ad","observation_id":"a7f63ab7-7a0d-46b9-95a1-0646025e19b8","resolution":{"observed_at":"2026-08-05T19:15:32.572664Z","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":"2026-08-05T19:15:32.671041Z","title":"Quantum gram-schmidt processes and their application to efficient state readout for quantum algorithms","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:32.671041Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:53c8447931b0889021885a875c726ceac291b616effd0746fc9f1ec5385e3216","observation_id":"80973ae7-b93f-4e15-93c8-1c782bebb99b","resolution":{"observed_at":"2026-08-05T19:15:32.671041Z","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":"2026-08-05T19:15:32.734740Z","title":"Quantum differentially private sparse regression learning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:32.734740Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:267c08fd7b03ae18a150340b2ea3170a5393f82140bf9252b399dfee997a3ec1","observation_id":"1a1d1773-1303-4007-8df1-136d4a7bd396","resolution":{"observed_at":"2026-08-05T19:15:32.734740Z","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":"2026-08-05T19:15:32.835310Z","title":"Quantum noise protects quantum classifiers against adversaries","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:32.835310Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:eff491b47b6912a7b0b3115ea3b719fb2023fb8827f48354d137c37e95bb180c","observation_id":"314c56b1-16fd-43e0-bd3f-aa4bf13d4aa5","resolution":{"observed_at":"2026-08-05T19:15:32.835310Z","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":"2026-08-05T19:15:32.900093Z","title":"The complexity of nisq","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:32.900093Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:707121a0a680f7c4129af109cd2eb2098987ab25c91c460ff4613f0cb8bbe3ea","observation_id":"a2caa18c-1b79-4918-99f4-cca4d7c6be3c","resolution":{"observed_at":"2026-08-05T19:15:32.900093Z","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":"2026-08-05T19:15:32.964403Z","title":"Bromley, Josh Izaac, Maria Schuld, and Nathan Killoran","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:32.964403Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:8347ab31632eb548d71d0744537a9f5b93e42a4d122743b78324e9d170236207","observation_id":"0ba142e0-99e3-44a3-9abe-f48a564ed899","resolution":{"observed_at":"2026-08-05T19:15:32.964403Z","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":"2026-08-05T19:15:32.986851Z","title":"Quantum federated learning with quantum networks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:32.986851Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:c3a7e7d292b7cdb70e587b1b7d680a5006210db186a0bfaeaab64d594030d05c","observation_id":"19d90b58-45e4-47fc-8038-913ace5b0c97","resolution":{"observed_at":"2026-08-05T19:15:32.986851Z","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":"2026-08-05T19:15:32.991619Z","title":"Parametrized quantum policies for reinforcement learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:32.991619Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:b023e0afff2b6e49f447f1ede7e97042269a681db4cffc80fd1326ed4ffe0b0a","observation_id":"41179788-7e57-40c7-a939-2380ce9799bb","resolution":{"observed_at":"2026-08-05T19:15:32.991619Z","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":"2026-08-05T19:15:33.120187Z","title":"Quantum agents in the gym: a variational quantum algorithm for deep q-learning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:33.120187Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:5ea512871efc79d0591ad6b2e97553a5fa1938c94608e41b3499ea76b95d1e9a","observation_id":"a85dce27-a78e-40cf-bfc7-8fedca7fc551","resolution":{"observed_at":"2026-08-05T19:15:33.120187Z","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":"2026-08-05T19:15:33.253269Z","title":"Variational quantum circuits for deep reinforcement learning","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:33.253269Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:a2f0ce5b1077527d0ce411ad569f523f7a844e89c98ddb79c6f82b9b50a37b0e","observation_id":"dcf12e4b-b636-4536-9b0c-12f4c3993d51","resolution":{"observed_at":"2026-08-05T19:15:33.253269Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.11304","last_updated":"2024-06-10T16:22:38Z","snapshot_observed_at":"2026-08-19T12:08:23.377809Z","submitted_at":"2024-05-18T14:35:57Z","title":"Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.11304","snapshot_observed_at":"2026-08-05T19:15:33.373600Z","title":"Quantum-train: Rethinking hybrid quantum-classical machine learning in the model compression perspective","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:33.373600Z"},"links":{"cited_paper":"/paper/2405.11304","citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:e4b10cec0c8b02a28157ae430b3ab9a5b471a5e9ff58cfe9d1ec0fd62fe78c85","observation_id":"8c4afac3-c83f-45a8-8a12-593bc444109d","resolution":{"observed_at":"2026-08-05T19:15:33.373600Z","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":"2026-08-05T19:15:33.470156Z","title":"Qtrl: Toward practical quantum reinforcement learning via quantum-train","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:33.470156Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:ffa0b84a573e72cf25b97d5cab555f3126574f8f78ff3e04f6f5cec7668b8530","observation_id":"3e14216d-eff5-469b-8003-d929b64bfc32","resolution":{"observed_at":"2026-08-05T19:15:33.470156Z","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":"2026-08-05T19:15:33.556474Z","title":"Quantum-train long short-term memory: Application on flood prediction problem","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:33.556474Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:21e1214e9134385cbe8504fec545fda7e773c5a69ad6d5c74c0c674139c9cd3e","observation_id":"cd9fae68-e4db-4272-b970-d5ba5736bb20","resolution":{"observed_at":"2026-08-05T19:15:33.556474Z","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":"2026-08-05T19:15:33.655913Z","title":"Federated quantum-train with batched parameter generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:33.655913Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:fb64d785df35de58e8600ab3d54ce35034e7593ac655e6d2f4c290b4248b9555","observation_id":"fa8fc60d-e4a2-4305-a43b-649df7138f8a","resolution":{"observed_at":"2026-08-05T19:15:33.655913Z","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":"2026-08-05T19:15:33.762512Z","title":"Quantum-train with tensor network mapping model and distributed circuit ansatz","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:33.762512Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:ebe656c3a121e0d65421b039c32fb6b67b09081fa2856224d9294d0a498328ee","observation_id":"225891e8-b4cf-4e02-9cf9-dcf75f3f017a","resolution":{"observed_at":"2026-08-05T19:15:33.762512Z","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":"2026-08-05T19:15:33.846922Z","title":"Quantum-trained convolutional neural network for deepfake audio detection","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:33.846922Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:6f9a712ad0d26b2d0ff0de73c51d38c6dc24c5dc7b992ac27e7264193b168830","observation_id":"3d4a86a1-aa20-44d9-8588-e1f12bc3129c","resolution":{"observed_at":"2026-08-05T19:15:33.846922Z","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":"2026-08-05T19:15:34.007945Z","title":"Quantum-train-based distributed multi-agent reinforcement learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:34.007945Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:453557b2d9162f20587d3ae8d7dcc50ad763994f0912bc4235750b8502e150bf","observation_id":"6ce122d1-49f7-4a03-85e7-852a93f43087","resolution":{"observed_at":"2026-08-05T19:15:34.007945Z","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":"2026-08-05T19:15:34.136506Z","title":"Programming variational quantum circuits with quantum-train agent","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:34.136506Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:77b7d6510625effe5d081c190ea5efd21a3d05235b0e6dd71f1ceef0fb755689","observation_id":"4a323128-4926-4551-96df-83100618d297","resolution":{"observed_at":"2026-08-05T19:15:34.136506Z","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":"2026-08-05T19:15:34.291717Z","title":"Introduction to quantum-train toolkit","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:34.291717Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:aef989530d6fc6394cbd42bf915a400990a5aac37153f63b71152083d888a8f5","observation_id":"adbf36af-cd96-487f-ba10-5e51d38d427f","resolution":{"observed_at":"2026-08-05T19:15:34.291717Z","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":"2026-08-05T19:15:34.429742Z","title":"Frame generation in hilbert space: Generative interpolation of measurement data for quantum parameter adaptation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:34.429742Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:0c55386a432f1ad7b2602aac25e54d26f5c403be8f23efc42cd201f0d9b0e1de","observation_id":"357c589a-02df-4ba1-9600-d1720a3245ec","resolution":{"observed_at":"2026-08-05T19:15:34.429742Z","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":"2026-08-05T19:15:34.568794Z","title":"Quantum enhanced knowledge distillation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:34.568794Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:a75afb4d42f64a2789dbff38b6929fc9e7bc65ae11b2ff8276bb475de28e8a42","observation_id":"16631ae8-8580-49f2-ac81-2c5a93bfc946","resolution":{"observed_at":"2026-08-05T19:15:34.568794Z","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":"2026-08-05T19:15:34.649302Z","title":"Tensor networks for complex quantum systems","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:34.649302Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:ad2ebe4b87c8b6cb6663090f81fb564bb20c2a9f93b55a54421c88fa91b3ea8c","observation_id":"8cdbaf87-49e3-4a95-8937-dc5f8d088046","resolution":{"observed_at":"2026-08-05T19:15:34.649302Z","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":"2026-08-05T19:15:34.755533Z","title":"Neural-network quantum states, string-bond states, and chiral topological states","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-05T19:15:34.755533Z"},"links":{"citing_paper":"/paper/2508.13054"},"observation_digest":"sha256:1b5f10f72ce2e16ae8b6511e0bb6b73b8afaad3c7fd799f578b7b7b955f29156","observation_id":"dbbdd07f-45b0-4920-bc12-fc10ab6ffbea","resolution":{"observed_at":"2026-08-05T19:15:34.755533Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.13054","last_updated":"2025-08-18T16:20:31Z","latest_version":1,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-17T14:58:53.770385Z","submitted_at":"2025-08-18T16:20:31Z","title":"Quantum Relational Knowledge Distillation"},"reference_resolution":{"displayed":76,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":76,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":76},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 2 inbound Pith citation observations for arXiv:2508.13054."}