{"as_of":"2026-08-18T13:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9ad099608f767cb3e2c79a41082ef6b5e3fbbe10c02397b90e88146f4ea16116","coverage":[{"denominator":43,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":43,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T21:19:21.415730Z","state":"measured"},{"denominator":43,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":43,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.10167/citation-record","integrity":"/paper/2505.10167/integrity","json":"/paper/2505.10167/citation-record.json","paper":"/paper/2505.10167"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:19:21.971916Z","title":"Heese, T","venue":null,"work_id":"6b1ce707-8901-46f7-a4d5-4851a9790722","year":2023},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.247184Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:d96d0eb501aa4ff938b4476aff2ddb21e4928cd2e0c0d19d1737e8a1b27acb54","observation_id":"a3a7eb74-a0ed-4278-8632-6373cd0faa62","resolution":{"observed_at":"2026-08-15T21:19:21.976020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:19:21.943695Z","title":"Kreplin and M","venue":null,"work_id":"22b553e4-ca49-425c-a962-7b4d7ff64f48","year":2024},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.251551Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:901567fb40e49dd3240a8a756c4e05727dbc8de42d3afb9738f2967057394441","observation_id":"47d81e34-079a-493a-937f-c27905ccc63f","resolution":{"observed_at":"2026-08-15T21:19:21.949648Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.06663","last_updated":"2023-05-22T14:07:04Z","snapshot_observed_at":"2026-08-16T16:08:58.402586Z","submitted_at":"2022-12-13T15:42:10Z","title":"Quantum Policy Gradient Algorithm with Optimized Action Decoding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.06663","snapshot_observed_at":"2026-08-15T21:19:21.255147Z","title":"Meyer, D","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.255147Z"},"links":{"cited_paper":"/paper/2212.06663","citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:e1ee9038df7b9553b0aebe5c4edb7137a46b188ea96c57202aa18d6e91cd3bb3","observation_id":"1b77b04d-d2b8-43ae-81e2-df289058a774","resolution":{"observed_at":"2026-08-15T21:19:21.255147Z","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":"2026-08-15T21:19:21.933288Z","title":"Moussa, Y","venue":null,"work_id":"9f666a26-1362-462e-b79f-9e31c0e10183","year":1941},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.260581Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:14fda6632c5fa245c088371ab7c7a949094549d1973927dbea333863e3aacd52","observation_id":"ce732ffc-1839-4e2e-9739-e0823833e144","resolution":{"observed_at":"2026-08-15T21:19:21.936621Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.01966","last_updated":"2025-03-03T19:00:02Z","snapshot_observed_at":"2026-08-16T12:53:28.083856Z","submitted_at":"2025-03-03T19:00:02Z","title":"Towards Practical Quantum Neural Network Diagnostics with Neural Tangent Kernels","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.01966","snapshot_observed_at":"2026-08-15T21:19:21.265611Z","title":"Scala, C","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.265611Z"},"links":{"cited_paper":"/paper/2503.01966","citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:1a4401f9cc625e51ac8b26e5becd70bdb9d1964c8117b9e31bbcd78f09fe36f2","observation_id":"e88e7ef8-f81d-4303-b9e6-1e0550846395","resolution":{"observed_at":"2026-08-15T21:19:21.265611Z","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":"2026-08-15T21:19:21.921526Z","title":"Mardirosian","venue":null,"work_id":"990bc9b7-a81f-4b61-a7f8-910c8ff280f1","year":2019},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.270655Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:d89871cedf7bf103835b7660d3e237f781dc4f5a6803b1bf80c3f136687bafc7","observation_id":"f437ea6d-5aa9-45ca-8c8a-5c36706e331c","resolution":{"observed_at":"2026-08-15T21:19:21.925854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.01441","last_updated":"2022-11-02T19:20:56Z","snapshot_observed_at":"2026-08-16T16:19:02.347037Z","submitted_at":"2022-11-02T19:20:56Z","title":"eXplainable AI for Quantum Machine Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.01441","snapshot_observed_at":"2026-08-15T21:19:21.276149Z","title":"Steinmüller, T","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.276149Z"},"links":{"cited_paper":"/paper/2211.01441","citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:ae864a2fd79aaf882793f518a285bec857a41fd221baaaf1121b0b41c7f831ce","observation_id":"75f58dcb-1e6c-489f-bb53-73bfbc4fe971","resolution":{"observed_at":"2026-08-15T21:19:21.276149Z","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":"2026-08-15T21:19:21.910062Z","title":"Anagolum, N","venue":null,"work_id":"aef10b79-3776-40cb-acc7-d08668d98d5d","year":2024},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.281303Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:9ea461c45225a25de65c932618dd28e9e38e3fac78cf346977b615ced48f2331","observation_id":"d2df6348-7927-48ef-8fd8-284a460cd5ad","resolution":{"observed_at":"2026-08-15T21:19:21.913811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:19:21.899181Z","title":"Pira and C","venue":null,"work_id":"f4958693-a3b1-4887-8657-4d470bb9ad66","year":2023},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.285748Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:f0762c438d2e0723985cb0870d985fbdf8f22ca282b06af2ede5852206bfb97d","observation_id":"afb6f13e-6211-4444-b50d-459c2c2f5abc","resolution":{"observed_at":"2026-08-15T21:19:21.902901Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:19:21.886779Z","title":"Khanal, P","venue":null,"work_id":"4133f38e-365a-48ac-a0b9-e070db1b5239","year":2024},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.289379Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:fac4bcfe45d7e695dccba2ddb4f41a06a0c51c5116283e2765baa46c3802dab1","observation_id":"84871b22-8874-41a9-b6be-8e5f34cdfbaf","resolution":{"observed_at":"2026-08-15T21:19:21.890251Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:19:21.873587Z","title":"Macaluso","venue":null,"work_id":"ddd9dab1-0ed4-4ba4-a724-85570014483c","year":2024},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.293574Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:7a7f6f8f6bc422f4fcdf639b42c0cf7612ffdbf9f2b5d7eec76122322248f34e","observation_id":"a627eb0e-351b-41c3-b482-542e4fc3a13c","resolution":{"observed_at":"2026-08-15T21:19:21.878004Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:19:21.862288Z","title":null,"venue":null,"work_id":"7cc2b1cd-137e-4edb-af74-491e6b64a071","year":2024},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.297083Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:0258ea12873e3d3b12d58147636289d692090db245ca846eee2b0fe7beae2305","observation_id":"8bddc078-463d-4b60-846c-89a10df1f111","resolution":{"observed_at":"2026-08-15T21:19:21.866185Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.12819","last_updated":"2021-06-24T08:18:42Z","snapshot_observed_at":"2026-08-16T18:14:51.775089Z","submitted_at":"2021-06-24T08:18:42Z","title":"Accelerating variational quantum algorithms with multiple quantum processors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.12819","snapshot_observed_at":"2026-08-15T21:19:21.300933Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.300933Z"},"links":{"cited_paper":"/paper/2106.12819","citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:c8b55d246ff6e5f304ce3109a68715610c688b87d7432c25dc8a70eec6493331","observation_id":"6937aef8-a2fe-4283-a55d-db64fe48642c","resolution":{"observed_at":"2026-08-15T21:19:21.300933Z","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":"2026-08-15T21:19:21.848229Z","title":"Burge, M","venue":null,"work_id":"111325e6-6c1c-4fc9-bfb8-d07c9056ff13","year":2023},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.305439Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:860dcad6d7b9eba931e1f7a6cd9b26e23e24c0ac18350490de039afea5310c0c","observation_id":"1e63a70f-44a3-4369-b60c-580bf56063d3","resolution":{"observed_at":"2026-08-15T21:19:21.853592Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:19:21.834720Z","title":"Ibrahim, H","venue":null,"work_id":"f4903503-7f16-4df3-ae12-a560cfd0a863","year":2022},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.309477Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:e6972f09dd0e2aee4c53247799aba660cb27792b209863b303fe8dcf84a9140c","observation_id":"e62e84e3-65e8-4db8-8912-65f1e417843a","resolution":{"observed_at":"2026-08-15T21:19:21.838166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.05047","last_updated":"2024-01-08T09:33:41Z","snapshot_observed_at":"2026-08-16T15:25:33.484259Z","submitted_at":"2023-06-08T08:58:43Z","title":"Introducing Reduced-Width QNNs, an AI-inspired Ansatz Design Pattern","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.05047","snapshot_observed_at":"2026-08-15T21:19:21.313836Z","title":"Stein, T","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.313836Z"},"links":{"cited_paper":"/paper/2306.05047","citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:5d00e6c8a4c97763df7f85f67d9bce40fa05e5c07fa6dd916efe0779d5fb0653","observation_id":"2715e96c-7db9-4230-b517-6e82d7ec2d76","resolution":{"observed_at":"2026-08-15T21:19:21.313836Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.09138","last_updated":"2025-02-24T13:02:59Z","snapshot_observed_at":"2026-08-16T16:00:53.791715Z","submitted_at":"2023-01-22T15:17:12Z","title":"Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.09138","snapshot_observed_at":"2026-08-15T21:19:21.317895Z","title":"Heese, T","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.317895Z"},"links":{"cited_paper":"/paper/2301.09138","citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:89dff1604c0673cd4c1a26822d53e5138d58f58b2d9a17a0ef28e36adcf9dbf7","observation_id":"f34e7c9b-d55d-4612-9bda-5a09efa709d1","resolution":{"observed_at":"2026-08-15T21:19:21.317895Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.01039","last_updated":"2022-12-01T17:33:21Z","snapshot_observed_at":"2026-08-16T18:05:46.584538Z","submitted_at":"2021-08-02T17:00:18Z","title":"Quantum machine learning of large datasets using randomized measurements","version":3},"cited_work":{"arxiv_id":"2108.01039","doi":null,"metadata_source":"pith","pith_arxiv_id":"2108.01039","snapshot_observed_at":"2026-08-15T21:19:21.505031Z","title":"Quantum machine learning of large datasets using randomized measurements","venue":"quant-ph","work_id":"925e16ad-e01e-4b61-944c-b88812acf22a","year":2021},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.321819Z"},"links":{"cited_paper":"/paper/2108.01039","citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:d62316b97c35aed9a0afea9524d7ad67cd01595761be84c33db47e6cb2945e8b","observation_id":"ca6dffbd-48e5-479c-bcc7-40ef0e0a352b","resolution":{"observed_at":"2026-08-15T21:19:21.511822Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:19:21.823899Z","title":"Blank, A","venue":null,"work_id":"792cfe86-a692-4d68-95f8-10fdf60d4171","year":2022},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.325728Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:7c1f8c5655a99b8bd0aa33e9332b72bb4bcc0230e7bca6d21b158d5882e618f9","observation_id":"8ea57560-6a8d-4165-9e6b-fced3d8578fa","resolution":{"observed_at":"2026-08-15T21:19:21.827413Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:19:21.812246Z","title":"Incudini, M","venue":null,"work_id":"33f7cd69-8c82-4e33-b022-7b53550f0cba","year":2023},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.329137Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:5414f6431af28e4f002fe38e11e1ff620f77c52e5a553b16ce481ab333c8e99a","observation_id":"100152ec-a1f9-4c84-9a29-5a604f885062","resolution":{"observed_at":"2026-08-15T21:19:21.815616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:19:21.799749Z","title":null,"venue":null,"work_id":"c20eee7d-27c9-42ec-9097-dbbeb117a2a3","year":2023},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.333623Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:cda4a712dff110994f3d337007ac0f239ec2d47cb38aa6ea3b0e0ede24c394ea","observation_id":"c91114f1-33f2-4ed8-82b9-39f2e17e8152","resolution":{"observed_at":"2026-08-15T21:19:21.804143Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.15776","last_updated":"2024-07-22T16:29:35Z","snapshot_observed_at":"2026-08-16T13:32:04.924180Z","submitted_at":"2024-07-22T16:29:35Z","title":"In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.15776","snapshot_observed_at":"2026-08-15T21:19:21.338256Z","title":"Miroszewski, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.338256Z"},"links":{"cited_paper":"/paper/2407.15776","citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:aac47ace21a415c7e1ad919f1232cf1f84464e7914e2afa0f3e47061191377e5","observation_id":"2da2a640-0849-4334-9b2d-db0880eb3d48","resolution":{"observed_at":"2026-08-15T21:19:21.338256Z","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":"2026-08-15T21:19:21.788132Z","title":"Kashif and S","venue":null,"work_id":"6f172812-3ab8-4784-8ee1-a72c3acfc660","year":2023},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.342386Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:9b212af3bfdebf2e3ce90b4cd98b958aa97023ee0631bdc3eb50cab9d34c0c2e","observation_id":"0dfa192c-f63d-41f3-9e4b-aadb979d4998","resolution":{"observed_at":"2026-08-15T21:19:21.791964Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:19:21.776123Z","title":"Barua, S","venue":null,"work_id":"68474f68-1b7e-46c9-a669-254b6dedbac8","year":2023},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.346242Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:ca409ee8c9cff217692a0fc1fa263ce6db29a076658951dedfb7935f13dbf85e","observation_id":"47dbb6b5-f38d-43e3-940a-7043673533e0","resolution":{"observed_at":"2026-08-15T21:19:21.780552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.04727","last_updated":"2024-11-03T12:11:33Z","snapshot_observed_at":"2026-08-18T08:18:10.852441Z","submitted_at":"2023-01-11T21:32:59Z","title":"A Quantum Algorithm for Shapley Value Estimation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.04727","snapshot_observed_at":"2026-08-15T21:19:21.349680Z","title":"Burge, M","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.349680Z"},"links":{"cited_paper":"/paper/2301.04727","citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:1c34d8e688deedae75e32820be5e9a87c43ab32b415ac6afa7fbcf827d81f52c","observation_id":"e5721620-194b-47c6-be64-4d50bb002e53","resolution":{"observed_at":"2026-08-15T21:19:21.349680Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.00193","last_updated":"2023-12-30T10:20:47Z","snapshot_observed_at":"2026-08-16T14:30:46.992765Z","submitted_at":"2023-12-30T10:20:47Z","title":"KAXAI: An Integrated Environment for Knowledge Analysis and Explainable AI","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.00193","snapshot_observed_at":"2026-08-15T21:19:21.353307Z","title":"Barua and S","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.353307Z"},"links":{"cited_paper":"/paper/2401.00193","citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:914afe1607a39940f6eb25be5e5789f32d83e9276032bfd359f9ff85c974f74a","observation_id":"e6fde8f7-706c-4d78-80f9-b3d6c392ea07","resolution":{"observed_at":"2026-08-15T21:19:21.353307Z","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":"2026-08-15T21:19:21.764312Z","title":"Stein, T","venue":null,"work_id":"fda347d3-6989-415b-ad79-20a3bfc88fca","year":2023},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.357105Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:59847b8e71cf01784dc858ee8b5c7c6ef4a99a16a4dfafce7d0be469ee4e2fb0","observation_id":"ce2d4310-b341-4f0f-a2a9-f30510a7eb1f","resolution":{"observed_at":"2026-08-15T21:19:21.768504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:19:21.752808Z","title":null,"venue":null,"work_id":"238ca27b-093b-4020-8856-cc8bb9f4c2fb","year":2023},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.360696Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:5bf8841c08f9a94d781391910e2f2b23ea1a1e93a34784992661ca3f35c44975","observation_id":"f5971b59-31e1-44e1-b88b-0e443a696f99","resolution":{"observed_at":"2026-08-15T21:19:21.756736Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.10345","last_updated":"2025-05-21T07:32:20Z","snapshot_observed_at":"2026-08-16T16:30:55.687479Z","submitted_at":"2022-09-21T13:26:20Z","title":"Learning Fourier series with parametrized quantum circuits","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.10345","snapshot_observed_at":"2026-08-15T21:19:21.364017Z","title":"Heimann, G","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.364017Z"},"links":{"cited_paper":"/paper/2209.10345","citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:d3186dd8de1e15f618f2d414087dfd2c291befe375ce1d14be53bc3066ce4c4a","observation_id":"dac40efc-2f79-4bff-8568-4b89c4b77b8b","resolution":{"observed_at":"2026-08-15T21:19:21.364017Z","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":"2026-08-15T21:19:21.739367Z","title":"Mercaldo, G","venue":null,"work_id":"ac9aa74e-0bc2-4106-ad34-82d2f588d0e7","year":2022},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.368365Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:e413f2a0d2074d091c1a146926039528b13619e12cfb742e5246f93b6add3ea6","observation_id":"8934cec5-9fbf-4574-9404-3787c34ce493","resolution":{"observed_at":"2026-08-15T21:19:21.744323Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:19:21.727546Z","title":"Zhang, Z","venue":null,"work_id":"52b3488f-6a7b-4698-b787-99abf1586a19","year":2023},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.371915Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:acf8df232e34542dda5df5a82fa45e71258e5853c0665b91e73c8244a9c3d4e0","observation_id":"51294be8-4845-406e-89e4-0ea3c9f7418c","resolution":{"observed_at":"2026-08-15T21:19:21.731353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:19:21.715293Z","title":"Mangini, F","venue":null,"work_id":"060e931c-51bd-46ad-b9d0-fb429f9bd25e","year":2021},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.375686Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:2157fbf4183d877aabcdb6d98c4ba73e167869c1af1d2df99d03902b2502dbb8","observation_id":"caf0b91e-215b-4578-b297-38981b888f4e","resolution":{"observed_at":"2026-08-15T21:19:21.719517Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:19:21.703868Z","title":"Ibrahim, H","venue":null,"work_id":"2c1b78fb-f9b6-430e-b70d-2557087d5ade","year":2022},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.379593Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:5881d087a93b91afc245d80bd97ffa54d4a9c64c056c6d891c04dd002c279152","observation_id":"6623eb5a-3af1-4a52-b621-28570cd86abe","resolution":{"observed_at":"2026-08-15T21:19:21.707801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:19:21.693179Z","title":null,"venue":null,"work_id":"54dcb1ed-e75e-49ac-a98f-319f5f0a41ba","year":2024},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.383657Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:121998bacef2438df7f068883ff2c303137a9218f49e5e42d290e455a7944211","observation_id":"9de3cb45-4442-4c61-8236-38673cbade1c","resolution":{"observed_at":"2026-08-15T21:19:21.697001Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:19:21.681861Z","title":"Wang and B","venue":null,"work_id":"9fda5b86-6bf1-4a8f-b769-7244835cfc97","year":2023},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.387075Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:dbc8dd20a874fb77c36b72386c05bf4d4b59435f10340fd761e393b33e627c8a","observation_id":"69e52e2c-b5a1-4e5a-ba08-08c0ffb9c545","resolution":{"observed_at":"2026-08-15T21:19:21.685512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:19:21.669635Z","title":"Gil-Fuster, J","venue":null,"work_id":"1cd68004-7d08-4dce-8fed-cd6cad0e2353","year":1968},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.390967Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:dab590bd2a3b4473a641b4bfd7ef6acf13de677590b9f7f4750674f54e69022d","observation_id":"f6b3e84f-e173-41b7-bc1a-210580499c72","resolution":{"observed_at":"2026-08-15T21:19:21.673577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:19:21.657013Z","title":"Weigold, J","venue":null,"work_id":"2f3e42ce-3a10-4ad0-b64e-d108018fe3f9","year":2021},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.394621Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:1025127dcfb2b7be249cb8e2d9c0a2c6485c3aad2dfe59e385c2bd2ff2f571d8","observation_id":"9ff12ac2-ca98-43ee-bf56-03f1a41aab85","resolution":{"observed_at":"2026-08-15T21:19:21.661312Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.16711","last_updated":"2023-04-12T01:05:19Z","snapshot_observed_at":"2026-08-16T17:10:25.226956Z","submitted_at":"2022-03-30T23:24:06Z","title":"Analytic theory for the dynamics of wide quantum neural networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.16711","snapshot_observed_at":"2026-08-15T21:19:21.398354Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.398354Z"},"links":{"cited_paper":"/paper/2203.16711","citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:fcd44071beae97a885603cc7ab4fb08af993063b4ec9f5b982199bdfc330015b","observation_id":"8f2741c2-df15-425c-9f13-5eb4ae654b21","resolution":{"observed_at":"2026-08-15T21:19:21.398354Z","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":"2026-08-15T21:19:21.644161Z","title":null,"venue":null,"work_id":"b3c30131-234f-473c-99c7-0368163f663e","year":2021},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.401962Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:d2eeb16f06048ddc0b6f482b6d42371e4783ed874e642058aa0315f134a9fea1","observation_id":"d3aded9f-5e2c-400b-a952-5f1794c5c0c7","resolution":{"observed_at":"2026-08-15T21:19:21.648015Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:19:21.631449Z","title":"Moussa, J","venue":null,"work_id":"600a84a4-d6fe-42a2-8d31-d96b4fad5bbe","year":2022},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.405294Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:bedd6aef90fdac4d2a585dd89a4cdf03a48573c395a94000b164c20ea35b92e1","observation_id":"790854c9-2719-4970-bd21-b5931bf9ae8d","resolution":{"observed_at":"2026-08-15T21:19:21.635635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:19:21.618968Z","title":"Cugini, D","venue":null,"work_id":"f576cbce-d775-428f-bf86-f77e537e416e","year":2023},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.408794Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:7816e8db80ac228599b809610bf335e59093c1a7957508c33547153e4eaa6094","observation_id":"8d36fb2b-6c08-4044-8768-dff99bd1ebe7","resolution":{"observed_at":"2026-08-15T21:19:21.623122Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:19:21.606472Z","title":null,"venue":null,"work_id":"d8c80464-6d11-4f5c-bad7-a7f07bc07582","year":2023},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.412351Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:1874ed1328f2d1134d701c02b8ef0f6b1063f0245327b0967ec362a4f63b410b","observation_id":"e77e2e2c-7561-40a0-ad28-d2282b651574","resolution":{"observed_at":"2026-08-15T21:19:21.610265Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:19:21.593869Z","title":"Ciaramella, G","venue":null,"work_id":"a32d0f60-0cd2-4c2d-8367-2d563a3135b4","year":2022},"citing_paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T21:19:21.415730Z"},"links":{"citing_paper":"/paper/2505.10167"},"observation_digest":"sha256:c772a2117569bb9d124fbb2adb885f82ae86e752918aa7c18d2530d9ea79c7b0","observation_id":"e520338f-4837-4bc1-b672-6264051e87b4","resolution":{"observed_at":"2026-08-15T21:19:21.598403Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.10167","last_updated":"2025-06-12T09:36:53Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-17T16:59:41.792497Z","submitted_at":"2025-05-15T10:51:34Z","title":"QuXAI: Explainers for Hybrid Quantum Machine Learning Models"},"reference_resolution":{"displayed":43,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":17,"verified_exact":1,"verified_fuzzy":25},"total_outbound_references":43},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2505.10167."}