{"as_of":"2026-08-06T16:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a2a3ed76859157a096616328d434eb4ccaaa182747bf5ade985cc474d50d76f1","coverage":[{"denominator":300,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T05:50:39.102300Z","state":"measured"},{"denominator":107,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":107,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T19:22:38.309565Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-08T13:04:56.674267Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.04923","snapshot_observed_at":"2026-08-03T19:22:38.309565Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.01317","last_updated":"2026-07-10T09:09:52Z","snapshot_observed_at":"2026-08-03T19:22:28.111638Z","submitted_at":"2025-12-01T06:18:08Z","title":"Data-Driven Learnability Transition of Measurement-Induced Entanglement","version":3},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-03T19:22:38.309565Z"},"links":{"cited_paper":"/paper/2509.04923","citing_paper":"/paper/2512.01317"},"observation_digest":"sha256:bcc013c1a575b0179eac8d70aec1646240a9ae78629eaf7b6a80a2cf5f088929","observation_id":"717bcc69-7fc1-4bec-8fae-472a1af61afc","resolution":{"observed_at":"2026-08-03T19:22:38.309565Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.04923","snapshot_observed_at":"2026-08-02T21:30:57.434096Z","title":"Repulsion of Energy Levels","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.20256","last_updated":"2026-05-27T21:35:29Z","snapshot_observed_at":"2026-08-02T21:30:39.896797Z","submitted_at":"2026-02-23T19:00:05Z","title":"Spectral Decimation of Quantum Many-Body Hamiltonians","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T21:30:57.434096Z"},"links":{"cited_paper":"/paper/2509.04923","citing_paper":"/paper/2602.20256"},"observation_digest":"sha256:1fa0ef6d92903e2a98d440096e1e0598a53d69e03fe9c5baba536ae3f3fcab62","observation_id":"f1ee9b35-2de9-41a4-a6c9-f86d644cf462","resolution":{"observed_at":"2026-08-02T21:30:57.434096Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"cited_work":{"arxiv_id":"2509.04923","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.04923","snapshot_observed_at":"2026-07-08T13:04:56.674267Z","title":"Artificial intelligence for representing and characterizing quantum systems","venue":"quant-ph","work_id":"a61cc5c1-a91c-467f-a3c6-e2c0a76432fd","year":2025},"citing_paper":{"arxiv_id":"2605.28986","last_updated":"2026-07-21T19:53:26Z","snapshot_observed_at":"2026-08-05T20:19:39.988720Z","submitted_at":"2026-05-27T18:44:36Z","title":"Comparing Classical Simulation and Sample-Based Learning of Quantum Systems","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-29T11:13:54.702077Z"},"links":{"cited_paper":"/paper/2509.04923","citing_paper":"/paper/2605.28986"},"observation_digest":"sha256:4b3e6846a7b6d3ba80139c1d410e0603e1108c747dcef4d23df7cc413f232761","observation_id":"85381523-f286-44e5-9da9-6a21acb787ca","resolution":{"observed_at":"2026-06-29T11:23:21.866387Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.04923","snapshot_observed_at":"2026-08-02T12:58:10.667446Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.28986","last_updated":"2026-07-21T19:53:26Z","snapshot_observed_at":"2026-08-05T20:19:39.988720Z","submitted_at":"2026-05-27T18:44:36Z","title":"Comparing Classical Simulation and Sample-Based Learning of Quantum Systems","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T12:58:10.667446Z"},"links":{"cited_paper":"/paper/2509.04923","citing_paper":"/paper/2605.28986"},"observation_digest":"sha256:55213cab5521e45c13394c8ccb7cbb77668763edc8848927c66b59c554c35f95","observation_id":"e6aa5bda-5fc3-4995-89ff-3d3f9d9c7cf7","resolution":{"observed_at":"2026-08-02T12:58:10.667446Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"cited_work":{"arxiv_id":"2509.04923","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.04923","snapshot_observed_at":"2026-07-08T13:04:56.674267Z","title":"Artificial intelligence for representing and characterizing quantum systems","venue":"quant-ph","work_id":"a61cc5c1-a91c-467f-a3c6-e2c0a76432fd","year":2025},"citing_paper":{"arxiv_id":"2607.06232","last_updated":"2026-07-07T13:00:28Z","snapshot_observed_at":"2026-08-05T14:58:13.835503Z","submitted_at":"2026-07-07T13:00:28Z","title":"Learning to Reconstruct Wigner Functions in Phase Space","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-08T13:02:15.265515Z"},"links":{"cited_paper":"/paper/2509.04923","citing_paper":"/paper/2607.06232"},"observation_digest":"sha256:00dfb4f700824a0e8433471ec25def13434f0ea1da50350e0854d9e73b1686dc","observation_id":"8a8c3765-144c-46b7-8cb4-2d2e6fc61343","resolution":{"observed_at":"2026-07-08T13:04:56.675463Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.04923","snapshot_observed_at":"2026-07-14T10:11:26.344146Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10656","last_updated":"2026-07-12T08:43:01Z","snapshot_observed_at":"2026-08-06T15:05:41.222716Z","submitted_at":"2026-07-12T08:43:01Z","title":"Learning Topological Quantum Phases from Limited Subsystems","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-14T10:11:26.344146Z"},"links":{"cited_paper":"/paper/2509.04923","citing_paper":"/paper/2607.10656"},"observation_digest":"sha256:f86ef40ca9b434198cc3a77c76fb653f99561a8efb3e4e9f04e12aa50fd10b6e","observation_id":"ae499f15-aa64-4836-9247-454f2f2580a2","resolution":{"observed_at":"2026-07-14T10:11:26.344146Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.04923","snapshot_observed_at":"2026-08-01T01:20:46.334515Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25865","last_updated":"2026-07-28T15:31:26Z","snapshot_observed_at":"2026-08-03T03:26:50.763218Z","submitted_at":"2026-07-28T15:31:26Z","title":"OmniQEC: discovering practical quantum error-correcting codes by an AI scientist","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-01T01:20:46.334515Z"},"links":{"cited_paper":"/paper/2509.04923","citing_paper":"/paper/2607.25865"},"observation_digest":"sha256:dd43acbc22f9079dea82106d83a996c2f62ed92ecbd6b8f4f175404befcd6f63","observation_id":"89759e92-e614-4acc-b281-9e2276fdb048","resolution":{"observed_at":"2026-08-01T01:20:46.334515Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2509.04923/citation-record","integrity":"/paper/2509.04923/integrity","json":"/paper/2509.04923/citation-record.json","paper":"/paper/2509.04923"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T05:50:31.833184Z","title":"Aaronson","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:31.833184Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:a88164c773b9d58f22c92a986fd6d3777b7f4269f893a2e6da58294c095ef209","observation_id":"8c72a9b9-0a5d-4a1f-bfff-c8572d2188c7","resolution":{"observed_at":"2026-08-05T05:50:31.833184Z","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":"2026-08-05T05:50:31.926031Z","title":"Aaronson and D","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:31.926031Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:f5798716594001290a196412e50a492a0736688624d5de8d92bd66a68008c0e6","observation_id":"4994f6d2-bd85-4d6c-89b0-d886363723cb","resolution":{"observed_at":"2026-08-05T05:50:31.926031Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.23860","last_updated":"2025-06-30T12:33:19Z","snapshot_observed_at":"2026-08-06T09:01:11.002435Z","submitted_at":"2025-05-29T08:15:23Z","title":"Quantum computing and artificial intelligence: status and perspectives","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.23860","snapshot_observed_at":"2026-08-05T05:50:31.980032Z","title":"Acampora et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:31.980032Z"},"links":{"cited_paper":"/paper/2505.23860","citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:f1377429e93eca6768182ceb6b4df71d7605e47ff7fcd556202cd60002344fab","observation_id":"25690e7b-79cc-40e5-b127-95139989b33e","resolution":{"observed_at":"2026-08-05T05:50:31.980032Z","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":"2026-08-05T05:50:32.041643Z","title":"Agrawal, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:32.041643Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:c770f0c71b469c5d277ce7d2f9987111bf732062c17db5573bbecd1e228ce3c8","observation_id":"e3d5aabe-6dd0-4dda-99a9-aaaa704d61e5","resolution":{"observed_at":"2026-08-05T05:50:32.041643Z","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":"2026-08-05T05:50:32.128872Z","title":"Aharonov, X","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:32.128872Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:7b360340ae71f03d20d3c33b33c5c75086823bd9bcb62ac0a7512f7f03aacdea","observation_id":"1c74b7f0-8c12-44e5-9d80-a7872c1bc1e0","resolution":{"observed_at":"2026-08-05T05:50:32.128872Z","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":"2026-08-05T05:50:32.173834Z","title":"Ahmed, C","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:32.173834Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:bc6c3b23ca1b39011e3e658e351a28155969ac3e7f7ed548aba3ca86409dc129","observation_id":"5a128e7a-f28b-4cb8-8e5e-58a428db50cd","resolution":{"observed_at":"2026-08-05T05:50:32.173834Z","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":"2026-08-05T05:50:32.207105Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:32.207105Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:ce61cd26831545db799e685e21a88714d74c9b9a1ba4e81b1b79185beb240376","observation_id":"bc430d94-e066-4c3e-a2a5-05e22793ee74","resolution":{"observed_at":"2026-08-05T05:50:32.207105Z","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":"2026-08-05T05:50:32.260795Z","title":"Ai and Y .-X","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:32.260795Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:172f9b4aacb1ca3169b7f43f3ba51bcb91025e03c8958e2793026a923e23d0fa","observation_id":"b836ee3e-5dbd-4279-85c3-63874540f52d","resolution":{"observed_at":"2026-08-05T05:50:32.260795Z","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":"2026-08-05T05:50:32.329623Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:32.329623Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:3d3992e53493f88863fe12f85a09f2f2703462e11ad02c3690fa8ad0f3ddb6f9","observation_id":"f050625b-d6fa-4143-a393-c48a5e800bf4","resolution":{"observed_at":"2026-08-05T05:50:32.329623Z","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":"2026-08-05T05:50:32.402812Z","title":"Alexeev et al","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:32.402812Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:919a5ae6f26833fccb1e5eed4de819a6dcbbde816bc0be9bec0ada59ecd6b18c","observation_id":"de4548d2-fe98-42bf-abef-f88c2b460f5c","resolution":{"observed_at":"2026-08-05T05:50:32.402812Z","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":"2026-08-05T05:50:32.481150Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:32.481150Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:69302fc4ec7d4aa7b01351e1b97507e3871186c4acf786150ac0de4d73114380","observation_id":"5618d105-c29f-494f-bdd7-8a7476e5e828","resolution":{"observed_at":"2026-08-05T05:50:32.481150Z","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":"2026-08-05T05:50:32.608941Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:32.608941Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:9b49f7051e9b0c1f4873f00bb43ca0a59209948b70c158d053e72462d18c9147","observation_id":"99f2d1f1-f2db-46b7-a460-a1627873e564","resolution":{"observed_at":"2026-08-05T05:50:32.608941Z","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":"2026-08-05T05:50:32.660492Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:32.660492Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:b06752ae04ca63d1ed6862ab5b45192c778227964b3e96155e6986386fdb73f7","observation_id":"a362322a-0a1a-4a18-94a7-d6a1c5ecb4da","resolution":{"observed_at":"2026-08-05T05:50:32.660492Z","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":"2026-08-05T05:50:32.786962Z","title":"Anshu and S","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:32.786962Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:5a6c6fb7d578cc17328bd18e3302bad4c009487766b76c52ea5b2bc0366f03e9","observation_id":"3cb75adf-e36c-45c8-a60b-d92430bcfc5a","resolution":{"observed_at":"2026-08-05T05:50:32.786962Z","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":"2026-08-05T05:50:32.833102Z","title":"Arnold and F","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:32.833102Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:955dbb0494e210fa20b2fc32354aea047365e68f4b0de2a56bf2dba525f7fb87","observation_id":"5aabdf07-9fa6-4e9c-8d49-275e983b1085","resolution":{"observed_at":"2026-08-05T05:50:32.833102Z","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":"2026-08-05T05:50:32.881790Z","title":"Arnold, F","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:32.881790Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:3a5b84f5363c45db367eabd91ff2c8b13b3f2b07f1b6e5734e47136a5c900403","observation_id":"635e15e6-7b50-4ecd-8565-bf339fa5b506","resolution":{"observed_at":"2026-08-05T05:50:32.881790Z","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":"2026-08-05T05:50:32.921877Z","title":"Arunachalam and R","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:32.921877Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:566d90a40ad7381d4ffb60a03d94259adc03c6f9b688b04abbfb9db124e979f1","observation_id":"d367983d-4be8-4a67-9bbf-89dbe74e6316","resolution":{"observed_at":"2026-08-05T05:50:32.921877Z","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":"2026-08-05T05:50:33.003847Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:33.003847Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:df9a3a56237fc0c61b1c54ffe74ff1e192e68cf40dc1505104018dc1e65497fe","observation_id":"4250e43f-dd49-49b2-a18e-8b24589bd8a5","resolution":{"observed_at":"2026-08-05T05:50:33.003847Z","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":"2026-08-05T05:50:33.092160Z","title":"Baltru ˇsaitis, C","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:33.092160Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:3cf0f67f5047a70f993b8e3a1bcd7d977cdc9ae491a81744133cc013124ee9d0","observation_id":"da0a051a-bc1a-4f7f-aeb9-9a80652fcc54","resolution":{"observed_at":"2026-08-05T05:50:33.092160Z","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":"2026-08-05T05:50:33.301839Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:33.301839Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:23407d60939de361fb45e6411a49da281cfbf4d162e9fe706479ec7ccc7e7f1a","observation_id":"1c489e6a-460e-4c6b-b108-de3d6aefefad","resolution":{"observed_at":"2026-08-05T05:50:33.301839Z","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":"2026-08-05T05:50:33.488938Z","title":"Barratt, U","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:33.488938Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:73e78a7b46272bff1be36df826d1681f3c5e577caa1b8d9846bcc873a25c1a55","observation_id":"e23cea29-8753-4155-9536-97aa794fa76e","resolution":{"observed_at":"2026-08-05T05:50:33.488938Z","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":"2026-08-05T05:50:33.706148Z","title":"Bausch et al","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:33.706148Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:9d1acd81ad95901fbad2aa12f8e42aef719a6fa3f4c07d79b2cad23b77723354","observation_id":"d274cb70-8c5d-41e1-9889-2ddc3540111f","resolution":{"observed_at":"2026-08-05T05:50:33.706148Z","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":"2026-08-05T05:50:33.758051Z","title":"Begu ˇsi´c, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:33.758051Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:ccfcac47239589b758a09271256996cd25c8c65b17cb6b24d6b5407e7737e684","observation_id":"42721f88-bf87-4187-ba1f-38eb985c393c","resolution":{"observed_at":"2026-08-05T05:50:33.758051Z","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":"2026-08-05T05:50:33.983363Z","title":"Bengio, A","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:33.983363Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:9a3c4f658feee06ad3ec602516182d6fc3d3f936e4dc2ea15bfca95f404dea20","observation_id":"f60ba793-76ac-4373-8996-6c6240bf988e","resolution":{"observed_at":"2026-08-05T05:50:33.983363Z","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":"2026-08-05T05:50:34.087622Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:34.087622Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:091bff9d7453b74e8772846faebbff84efd2393ee8693d4d4f84339a01a031da","observation_id":"f0e69dfe-334d-44f5-8106-df23b59887a1","resolution":{"observed_at":"2026-08-05T05:50:34.087622Z","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":"2026-08-05T05:50:34.294880Z","title":"Bertoni, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:34.294880Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:daeb698fdb1a817596df3f43469a93cd7ad497756295e366a4c83276f63a0b24","observation_id":"bbc60173-2c55-4705-a513-7dddde9a3568","resolution":{"observed_at":"2026-08-05T05:50:34.294880Z","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":"2026-08-05T05:50:36.196968Z","title":"Bharti et al","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:36.196968Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:f3b43fd9473976385d7ccdccf3e398c5d9f9be73463cbc8ccd1c31455388d2fe","observation_id":"3a4f67a4-0c7e-4e35-a53a-1eeea70e3903","resolution":{"observed_at":"2026-08-05T05:50:36.196968Z","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":"2026-08-05T05:50:36.280448Z","title":null,"venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:36.280448Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:4aee2da3ae7bfbadd8c5c8b2d1c4cb084c87bb4b477640e140486d539ba92a5d","observation_id":"c4d71c23-7c43-488d-b724-badcce558ea0","resolution":{"observed_at":"2026-08-05T05:50:36.280448Z","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":"2026-08-05T05:50:36.352597Z","title":"Bluvstein et al","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:36.352597Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:f9e55b10d73788ec67960eb5d02d9da5fb78e49b80dd7873b6d01642cae927bc","observation_id":"87e39637-6ef5-409a-96d7-b9ed995b190c","resolution":{"observed_at":"2026-08-05T05:50:36.352597Z","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":"2026-08-05T05:50:36.500768Z","title":"Bohrdt, S","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:36.500768Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:87676bf8433f76b88674ee798044638c1a7bde50416850c75362e40b22eb1fea","observation_id":"ddfcced0-e0ca-4de7-876f-6cd67a6cb421","resolution":{"observed_at":"2026-08-05T05:50:36.500768Z","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":"2026-08-05T05:50:36.601464Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:36.601464Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:f447300429f1889db83442eb5ef02cbd7bca4aba78c9a06503099e9065d8301d","observation_id":"e20865e6-0ec1-4441-8346-619620345a6f","resolution":{"observed_at":"2026-08-05T05:50:36.601464Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.12017","last_updated":"2023-11-20T18:54:48Z","snapshot_observed_at":"2026-07-06T16:50:06.095609Z","submitted_at":"2023-11-20T18:54:48Z","title":"Public-key pseudoentanglement and the hardness of learning ground state entanglement structure","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.12017","snapshot_observed_at":"2026-08-05T05:50:36.706961Z","title":"Bouland, B","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:36.706961Z"},"links":{"cited_paper":"/paper/2311.12017","citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:3cd2ed9d640814c012718c2c695471e8fd75764d1e37c6a68fd46a11209b2f60","observation_id":"4a727454-95f4-4856-a648-9633f9570fa2","resolution":{"observed_at":"2026-08-05T05:50:36.706961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.04353","last_updated":"2024-11-07T01:16:15Z","snapshot_observed_at":"2026-08-06T14:53:46.414523Z","submitted_at":"2024-11-07T01:16:15Z","title":"On the hardness of learning ground state entanglement of geometrically local Hamiltonians","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.04353","snapshot_observed_at":"2026-08-05T05:50:36.818774Z","title":"Bouland, C","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:36.818774Z"},"links":{"cited_paper":"/paper/2411.04353","citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:384033dca6a99fd9df5ba4244656063c30f5894d2b0e96d2e2ee5b1052421ecc","observation_id":"84e2492f-d310-4b4d-aabe-da696c4451d5","resolution":{"observed_at":"2026-08-05T05:50:36.818774Z","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":"2026-08-05T05:50:36.980822Z","title":"Bourgund et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:36.980822Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:8f7bc35f41075555ff6a8617f2a7b0900f2b9c134beb8909cac7b88a8cf2531c","observation_id":"e514f020-3291-4683-9674-0be98f17dc66","resolution":{"observed_at":"2026-08-05T05:50:36.980822Z","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":"2026-08-05T05:50:37.017666Z","title":"Bravyi and D","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:37.017666Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:b5a1f5e6f3f4df4db17990be5166a5336bd61fe7649c45e7dd6aabe0c8692683","observation_id":"7c965f06-30c2-455a-be44-a78684b3520b","resolution":{"observed_at":"2026-08-05T05:50:37.017666Z","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":"2026-08-05T05:50:37.066212Z","title":"Brown et al","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:37.066212Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:0f275d44fa0b291ef6dadc2a2c70b6ed14085e3d62a8d20aa1f1c32497efadf8","observation_id":"27b839f9-e105-47d0-96a3-70afb0ee9ac5","resolution":{"observed_at":"2026-08-05T05:50:37.066212Z","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":"2026-08-05T05:50:37.132273Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:37.132273Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:b0f80696a1b6f4b0a149bfa63c2dbf64a97c92d1d3db20e8505fa86ccc6351b1","observation_id":"4bf060ca-b2da-4861-82b3-06cd88e5cc77","resolution":{"observed_at":"2026-08-05T05:50:37.132273Z","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":"2026-08-05T05:50:37.242620Z","title":"Campaioli, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:37.242620Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:aa1b1032a7e357061be8cfb7b33ba710ce8eb6992014dc53f065726fc23bff13","observation_id":"1969c32f-daec-4624-8b69-8008d6b74c26","resolution":{"observed_at":"2026-08-05T05:50:37.242620Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-04T18:13:30.369550Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.14557","snapshot_observed_at":"2026-08-05T05:50:37.370376Z","title":"Campbell, H","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:37.370376Z"},"links":{"cited_paper":"/paper/2504.14557","citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:8cb643ebd16a61672b550dc5f06157f672569a9b6a1fb937c8ebd11c0c347a0a","observation_id":"62ec2ce7-dd53-4216-9a30-d8737cd7f2b6","resolution":{"observed_at":"2026-08-05T05:50:37.370376Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09025","last_updated":"2023-07-18T07:34:02Z","snapshot_observed_at":"2026-07-06T15:55:10.050977Z","submitted_at":"2023-07-18T07:34:02Z","title":"qecGPT: decoding Quantum Error-correcting Codes with Generative Pre-trained Transformers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09025","snapshot_observed_at":"2026-08-05T05:50:37.473140Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:37.473140Z"},"links":{"cited_paper":"/paper/2307.09025","citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:b01eeba76baa91745068eb38bc55e4d1cd9aec9ff09a8ac4591f25423195eb53","observation_id":"d8dfb6f5-b888-46c9-ae4e-4bff05e7957c","resolution":{"observed_at":"2026-08-05T05:50:37.473140Z","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":"2026-08-05T05:50:37.549423Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:37.549423Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:5e881f408fd85c6333b0f185905dfe312ff7487d130302fc04528190fd694edc","observation_id":"7b3012af-d5a5-46bb-895d-fac810018437","resolution":{"observed_at":"2026-08-05T05:50:37.549423Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.04226","last_updated":"2023-03-07T20:36:13Z","snapshot_observed_at":"2026-07-06T14:59:53.901528Z","submitted_at":"2023-03-07T20:36:13Z","title":"A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.04226","snapshot_observed_at":"2026-08-05T05:50:37.618103Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:37.618103Z"},"links":{"cited_paper":"/paper/2303.04226","citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:375d7b77ddf524ce93bbaf3b47a580ea00b60016f2122d7e833f76f26cecdf89","observation_id":"22f31255-b2e3-410f-8133-b14fa367cb11","resolution":{"observed_at":"2026-08-05T05:50:37.618103Z","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":"2026-08-05T05:50:37.732763Z","title":"Carleo, I","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:37.732763Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:aa537dd6237247df8665843aa48e7095c9c382b0f1519938b3b7d217cd2cb7d9","observation_id":"e70ba40b-19bb-4886-93de-77efbbe8f304","resolution":{"observed_at":"2026-08-05T05:50:37.732763Z","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":"2026-08-05T05:50:37.806970Z","title":"Carleo and M","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:37.806970Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:164a1ce947a696023dd4514ebfce44c32629da244461201bbc374d39efb2a441","observation_id":"a8be85a8-b344-4dc9-8af8-d05dfab81ace","resolution":{"observed_at":"2026-08-05T05:50:37.806970Z","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":"2026-08-05T05:50:37.822838Z","title":"Carrasco, A","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:37.822838Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:9fbea92d5e3119d0ec5887064ae34c17e44309bcd649ffa89d98a779ec34a26e","observation_id":"8c8e17d1-5a79-4ab4-8036-d346054b0148","resolution":{"observed_at":"2026-08-05T05:50:37.822838Z","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":"2026-08-05T05:50:37.838050Z","title":"Carrasquilla","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:37.838050Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:4b6fcb64f382cbb45ee043179e3dcfd05f0dffd38b78c61d00de0dc718d34a07","observation_id":"27aee7d9-1479-4c12-a653-7da7e70be8ab","resolution":{"observed_at":"2026-08-05T05:50:37.838050Z","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":"2026-08-05T05:50:37.938506Z","title":"Carrasquilla and R","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:37.938506Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:3ef570c11b6a6041260fa0939a490a6b7eac6470538e64041ead926e4921634d","observation_id":"11332b2d-489a-400c-9a1c-992339ba828a","resolution":{"observed_at":"2026-08-05T05:50:37.938506Z","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":"2026-08-05T05:50:37.998346Z","title":"Carrasquilla and G","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:37.998346Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:9d0acd000d740a5c57893ab4cbea6cd2e77f7bdc027150f6274566c7436493c4","observation_id":"2baec11c-d8b0-4869-8688-c41380b5aa41","resolution":{"observed_at":"2026-08-05T05:50:37.998346Z","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":"2026-08-05T05:50:38.041193Z","title":"Carrasquilla, G","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.041193Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:4d7807e0805c721628c22122838c430c3fa8801a418726c3fe15cdc6cd4044f6","observation_id":"875cade7-fbbb-4f6d-ab7a-8e19c324ed00","resolution":{"observed_at":"2026-08-05T05:50:38.041193Z","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":"2026-08-05T05:50:38.149252Z","title":"Cerezo et al","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.149252Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:91321730f6a042a95b1a35a0e6dddf8b1f1ca89eb83b235fcd58f518df6676c0","observation_id":"7c426c26-3939-47d0-a0fd-92338c9aa4b1","resolution":{"observed_at":"2026-08-05T05:50:38.149252Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.09121","last_updated":"2025-08-25T16:10:12Z","snapshot_observed_at":"2026-08-03T05:23:29.137842Z","submitted_at":"2023-12-14T16:54:57Z","title":"Does provable absence of barren plateaus imply classical simulability?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.09121","snapshot_observed_at":"2026-08-05T05:50:38.264702Z","title":"Cerezo et al","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.264702Z"},"links":{"cited_paper":"/paper/2312.09121","citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:2cc732b54d901351eede17f44f8bb374f037256b43c1574d0e690b769d69f6bd","observation_id":"60601159-ffd9-4966-9e32-f79bc5ab8d63","resolution":{"observed_at":"2026-08-05T05:50:38.264702Z","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":"2026-08-05T05:50:38.333315Z","title":"Cerezo, M","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.333315Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:180f5308b5cd8304ca733d9574e2aaa1f65f3d960caba0531bf5dee498adfadf","observation_id":"1a51a125-fb3a-4d11-ae8e-4a9b5b211ad1","resolution":{"observed_at":"2026-08-05T05:50:38.333315Z","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":"2026-08-05T05:50:38.445203Z","title":"Cervera-Lierta, J","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.445203Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:22df352f10bbed28e1a7693d487bbc33156c43741146fe8ec24bb32cde071022","observation_id":"be7b687e-f87c-44ff-b092-ce98002e1289","resolution":{"observed_at":"2026-08-05T05:50:38.445203Z","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":"2026-08-05T05:50:38.605010Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.605010Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:e1a87fb4d1254c789072b1cc91735659fb7369a0cf7919c242f8cd01162fb7b6","observation_id":"96c38fb9-1b53-4bba-8419-de9d300a4aa2","resolution":{"observed_at":"2026-08-05T05:50:38.605010Z","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":"2026-08-05T05:50:38.709568Z","title":"Chang et al","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.709568Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:81bc2d26b016a2738def3df93efaca3efe135c85532de30dcd40af0efa3fb4d0","observation_id":"2986666e-ab47-43d1-9606-336c0ac3fabc","resolution":{"observed_at":"2026-08-05T05:50:38.709568Z","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":"2026-08-05T05:50:38.745702Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.745702Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:3ffaed047fc21c7bb4cfcc4af00315e21db704d6cef8aab1fb1f8f0b8145d3db","observation_id":"853bf256-0985-4397-8363-db818e3fcccf","resolution":{"observed_at":"2026-08-05T05:50:38.745702Z","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":"2026-08-05T05:50:38.764255Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.764255Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:296cdd8fba402c97386ec21af57c6356ddc7dbb10ea10af01dff748bb0b97a72","observation_id":"7236da92-aea9-45ff-84a6-a720ae919173","resolution":{"observed_at":"2026-08-05T05:50:38.764255Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.04486","last_updated":"2026-01-15T15:54:45Z","snapshot_observed_at":"2026-07-29T22:55:06.634185Z","submitted_at":"2025-08-06T14:36:10Z","title":"Quantum circuit complexity and unsupervised machine learning of topological order","version":2},"cited_work":{"arxiv_id":"2508.04486","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.04486","snapshot_observed_at":"2026-08-05T05:50:41.508802Z","title":"Quantum circuit complexity and unsupervised machine learning of topological order","venue":"quant-ph","work_id":"6bf40a82-0082-4b24-ad99-dd49d3ad0580","year":2025},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.893098Z"},"links":{"cited_paper":"/paper/2508.04486","citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:e5958366422b7cf0b95f8a66cbf8e477582286ec2ec3ed8d6e8552bada524dee","observation_id":"3cccef48-b199-4121-bf9b-11396dc2b906","resolution":{"observed_at":"2026-08-05T05:50:41.514020Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T05:50:38.927387Z","title":"Chen and M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.927387Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:02b24ab1a8ecb0f888ea54d9fa9e0775457853fd83469f10a976945148ae3a1e","observation_id":"88ce7ee3-745b-4515-bba6-966f951e62fd","resolution":{"observed_at":"2026-08-05T05:50:38.927387Z","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":"2026-08-05T05:50:38.931826Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.931826Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:4b963d19f996d7e1c6664c089f935fe21f5d93d20041565fe99bc93a0ea426f4","observation_id":"b8200be3-6aa9-4ac7-9ebf-25a5a76a8a8c","resolution":{"observed_at":"2026-08-05T05:50:38.931826Z","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":"2026-08-05T05:50:38.936158Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.936158Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:6b3e5768efc679e35f25823568db08bf9f1e7ff6734a4c28cb48d3d8f3a26cf4","observation_id":"96dd96f9-f187-427f-b727-2a98eaa91015","resolution":{"observed_at":"2026-08-05T05:50:38.936158Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.03684","last_updated":"2024-09-05T16:39:13Z","snapshot_observed_at":"2026-07-06T19:11:05.273789Z","submitted_at":"2024-09-05T16:39:13Z","title":"Predicting quantum channels over general product distributions","version":1},"cited_work":{"arxiv_id":"2409.03684","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.03684","snapshot_observed_at":"2026-08-05T05:50:41.488097Z","title":"Predicting quantum channels over general product distributions","venue":"quant-ph","work_id":"8d212e12-f11a-48e7-9ae2-c0c5337e95c6","year":2024},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.940566Z"},"links":{"cited_paper":"/paper/2409.03684","citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:40a574e36a186f1905dfa8b65ff22cd880c03c570922e2eb0df13a624225093d","observation_id":"7b2a9ca8-9e85-43eb-8333-67b40a3bb6ab","resolution":{"observed_at":"2026-08-05T05:50:41.492593Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T05:50:38.945097Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.945097Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:20db46d86f3e0807df6f9a9e49bcced0b594db1304b07563cad58f9c45e5f17d","observation_id":"4774a007-ba6d-486c-806e-2d4da8383bc6","resolution":{"observed_at":"2026-08-05T05:50:38.945097Z","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":"2026-08-05T05:50:38.949515Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.949515Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:8df0136004e2aacd3ca8d579b9660208e24eb4cd309cfd82d3eb9d66eaa71671","observation_id":"6a00f249-be18-4170-a7b3-058c3a7ee0c9","resolution":{"observed_at":"2026-08-05T05:50:38.949515Z","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":"2026-08-05T05:50:38.954836Z","title":"Cho and D","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.954836Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:b4417929ca9eb8492ef1cf60e21bfae0dfc988e3706eaa494b3217063d99f5be","observation_id":"e22dfc0d-03cb-4647-a4ad-51665ccb0ca3","resolution":{"observed_at":"2026-08-05T05:50:38.954836Z","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":"2026-08-05T05:50:38.959399Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.959399Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:9454685ba66e101adf331b497199869d594cc65a135dd3ebbea856b7dcd9b23c","observation_id":"3a99712f-e06e-49d9-922f-7e100098c06c","resolution":{"observed_at":"2026-08-05T05:50:38.959399Z","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":"2026-08-05T05:50:38.963706Z","title":"Cimini, M","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.963706Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:338d01b8b0c838fc7f1080f8ede90a83a4e5e83de602a0074f540c9673ad7c33","observation_id":"e50bf65b-e144-453d-bc2c-b6e9fd076f3f","resolution":{"observed_at":"2026-08-05T05:50:38.963706Z","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":"2026-08-05T05:50:38.967721Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.967721Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:1a634e4a1247ea14bd29dc7c0ef7b10d28bb6e3ffefd13e2543cb42b8d31c9d4","observation_id":"1678cf5a-d434-476d-83eb-53400e6852ca","resolution":{"observed_at":"2026-08-05T05:50:38.967721Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13856","last_updated":"2024-10-17T17:59:34Z","snapshot_observed_at":"2026-07-06T19:35:30.732080Z","submitted_at":"2024-10-17T17:59:34Z","title":"A Fourier analysis framework for approximate classical simulations of quantum circuits","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13856","snapshot_observed_at":"2026-08-05T05:50:38.971836Z","title":"Cirstoiu","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.971836Z"},"links":{"cited_paper":"/paper/2410.13856","citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:c169c59b265c963ff793a82ef2507af00984e3b4c2acff4f3a4b26926265082f","observation_id":"c35d7aef-d059-4fa4-a522-a33eee56d654","resolution":{"observed_at":"2026-08-05T05:50:38.971836Z","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":"2026-08-05T05:50:38.976419Z","title":"Cramer, M","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.976419Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:94540cc69c0f6a87fe32e963b2d3fb466202186bf1a18a4a9299d4eced5394de","observation_id":"a1fcd35b-97cb-4ebd-82c9-d1af0be30e3d","resolution":{"observed_at":"2026-08-05T05:50:38.976419Z","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":"2026-08-05T05:50:38.980436Z","title":"Cybi ´nski, M","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.980436Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:117bb37b1f856a54af511afbf49f129d9e486d60ff8af54caad3ffb7a611cdef","observation_id":"aaf8607e-725e-47ff-a9a2-5b827203f855","resolution":{"observed_at":"2026-08-05T05:50:38.980436Z","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":"2026-08-05T05:50:38.984600Z","title":"Czarnik, A","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.984600Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:2088fbb3bc77343c90b4bc7af2a7de55efeca2cb2d9945feeb16eafce8cadd04","observation_id":"b2200d4c-ecaf-44d9-bc9a-606560fe9cdd","resolution":{"observed_at":"2026-08-05T05:50:38.984600Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.07109","last_updated":"2025-04-23T13:48:46Z","snapshot_observed_at":"2026-07-06T13:00:27.269533Z","submitted_at":"2022-04-14T16:58:51Z","title":"Improving the efficiency of learning-based error mitigation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.07109","snapshot_observed_at":"2026-08-05T05:50:38.988789Z","title":"Czarnik, M","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.988789Z"},"links":{"cited_paper":"/paper/2204.07109","citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:990abfdd03847e45850ce9c4aa9f5e3da788add7de29d7998496560293173b3e","observation_id":"e75629fa-ad10-4272-9a16-e376270530e0","resolution":{"observed_at":"2026-08-05T05:50:38.988789Z","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":"2026-08-05T05:50:38.993229Z","title":"Czischek, M","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.993229Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:3ed327146fc06d670004d993286c18ef12fd9dec6ef2cfa5b8772a125b040d84","observation_id":"d3e1c5af-c820-44fe-82f8-92de9f496643","resolution":{"observed_at":"2026-08-05T05:50:38.993229Z","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":"2026-08-05T05:50:38.997281Z","title":"Dawid, J","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:38.997281Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:7fe0e9ddae61f88d8504cdbe85e170a7666f68c807ef2ee9a6d92e583ec17965","observation_id":"f9613393-a5e4-47c4-a475-24e55080f56d","resolution":{"observed_at":"2026-08-05T05:50:38.997281Z","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":"2026-08-05T05:50:39.001549Z","title":"de Schoulepnikoff, G","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.001549Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:b8e118ecba67bb6b90a08a7ac0145a40d9786631580c954c0a7331922681ee41","observation_id":"49c19f79-5584-488a-8b11-77de7f23477b","resolution":{"observed_at":"2026-08-05T05:50:39.001549Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02501","last_updated":"2024-06-21T16:56:15Z","snapshot_observed_at":"2026-07-06T18:25:18.469656Z","submitted_at":"2024-06-04T17:20:30Z","title":"The computational power of random quantum circuits in arbitrary geometries","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02501","snapshot_observed_at":"2026-08-05T05:50:39.005747Z","title":"DeCross et al","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.005747Z"},"links":{"cited_paper":"/paper/2406.02501","citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:18e53dc5280be666f223f42e8a4aacb418042fc7a69e2980893b11b6aa39a18b","observation_id":"109774d6-8275-4ec9-ad92-f04bfdbea8d2","resolution":{"observed_at":"2026-08-05T05:50:39.005747Z","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":"2026-08-05T05:50:39.010706Z","title":"Dehghani, A","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.010706Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:dbc0045f41234473ddbce33a01a137515f151bd2934caee2335f82aa6c2a5b07","observation_id":"afdaa9f7-cc92-42db-92eb-7f700d7b549d","resolution":{"observed_at":"2026-08-05T05:50:39.010706Z","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":"2026-08-05T05:50:39.014670Z","title":"Denis, F","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.014670Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:5a77c48b6a225ed176a004e800fa0d56100e4603c340feba058f09ba2ca2ac3f","observation_id":"730001c3-7fca-4511-ba81-7d3eee055e96","resolution":{"observed_at":"2026-08-05T05:50:39.014670Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.01146","last_updated":"2025-02-03T08:33:44Z","snapshot_observed_at":"2026-07-06T20:30:08.210991Z","submitted_at":"2025-02-03T08:33:44Z","title":"Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.01146","snapshot_observed_at":"2026-08-05T05:50:39.018728Z","title":"Du et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.018728Z"},"links":{"cited_paper":"/paper/2502.01146","citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:690b561de1b348c816f98fc6dc5c0085108b5b0f99f54a90d4711f945c347c30","observation_id":"e0e62cbf-64cb-4963-b9a2-3d0f0b2f7f43","resolution":{"observed_at":"2026-08-05T05:50:39.018728Z","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":"2026-08-05T05:50:39.023190Z","title":"Du, M.-H","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.023190Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:f0f7c4c52a54eece0dd28c0306774183172c3228eaa9da6eaca9582c9ee08cb7","observation_id":"79266765-4b6c-40a2-ac08-4578ff8a142e","resolution":{"observed_at":"2026-08-05T05:50:39.023190Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.11290","last_updated":"2023-08-22T09:11:53Z","snapshot_observed_at":"2026-07-06T16:08:56.878185Z","submitted_at":"2023-08-22T09:11:53Z","title":"ShadowNet for Data-Centric Quantum System Learning","version":1},"cited_work":{"arxiv_id":"2308.11290","doi":null,"metadata_source":"pith","pith_arxiv_id":"2308.11290","snapshot_observed_at":"2026-08-05T05:50:41.331315Z","title":"ShadowNet for Data-Centric Quantum System Learning","venue":"quant-ph","work_id":"5b31c682-6f94-4584-b8dd-a06b4e561013","year":2023},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.027421Z"},"links":{"cited_paper":"/paper/2308.11290","citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:bd07c6aad1dacab2ff8a0e38250ce80d494e16bff5e4ece2396c7d499df22bfd","observation_id":"ef89261d-a84c-4b12-b92f-65c4b4c23623","resolution":{"observed_at":"2026-08-05T05:50:41.335722Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T05:50:39.031864Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.031864Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:7b747655dae7b5d17507f0e161d675720f2703e11debbabdd8f4ee8be4159d36","observation_id":"c9a72058-c971-4f0e-9603-4cd9628798d3","resolution":{"observed_at":"2026-08-05T05:50:39.031864Z","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":"2026-08-05T05:50:39.035947Z","title":"Dupuis, L","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.035947Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:8c1eb45d08c71adbc64517e399be7be8cbf85d5c989259809a4f956daf0799d5","observation_id":"76cd3713-0c7d-4b74-bc2f-51b9a4b78979","resolution":{"observed_at":"2026-08-05T05:50:39.035947Z","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":"2026-08-05T05:50:39.040436Z","title":"Eisert, M","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.040436Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:060750454ccf0f12eb85105cb5d1816879fb17b710c3efc8bd70bed89b9a20a0","observation_id":"a2d5d8c6-aad6-4f3c-b476-0b9acccecbff","resolution":{"observed_at":"2026-08-05T05:50:39.040436Z","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":"2026-08-05T05:50:39.044855Z","title":"Eisert, D","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.044855Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:1acb977acd4c8b5c759c93c040289833f1427f50f4592522e44db9d84831c2d0","observation_id":"75345cfc-5f67-4d97-bfc8-6d33762c87c5","resolution":{"observed_at":"2026-08-05T05:50:39.044855Z","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":"2026-08-05T05:50:39.049262Z","title":"Elben et al","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.049262Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:06dc3e8ef211248ec334eae767f61ae42bd03f32adf631a84d3d4f9d89b5cbf2","observation_id":"a4d82bd4-bb35-441b-91a2-4eb8c37d3f44","resolution":{"observed_at":"2026-08-05T05:50:39.049262Z","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":"2026-08-05T05:50:39.053278Z","title":"Elben, S","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.053278Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:c711cf9cc2779fd1b0c3be86623e3b0821979b141181b53ec6aa448d4cdc49a3","observation_id":"518acd02-6a72-4207-922c-a8c34bbbe117","resolution":{"observed_at":"2026-08-05T05:50:39.053278Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.21052","last_updated":"2024-05-31T17:44:36Z","snapshot_observed_at":"2026-07-06T18:23:27.760658Z","submitted_at":"2024-05-31T17:44:36Z","title":"RydbergGPT","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.21052","snapshot_observed_at":"2026-08-05T05:50:39.057425Z","title":"Fitzek et al","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.057425Z"},"links":{"cited_paper":"/paper/2405.21052","citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:c91c2df2f47d3af36e6e6c277050ac1ebdece12c90233d7b8ae9153750ae04cb","observation_id":"8fe6819b-947e-4867-8dac-9b333615a3de","resolution":{"observed_at":"2026-08-05T05:50:39.057425Z","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":"2026-08-05T05:50:39.061615Z","title":"Flam-Shepherd, T","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.061615Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:0f9682645d1b6eeaae4bdef8123b37a7756e4fcc02ee48f9eba221b0f2857576","observation_id":"fa6a4271-d55f-4fa6-95f3-a02858eb817c","resolution":{"observed_at":"2026-08-05T05:50:39.061615Z","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":"2026-08-05T05:50:39.065623Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.065623Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:58c1948bf933f57c60bfb92c56d5c62e480109e19c8ada69f9c0d265a8aacb99","observation_id":"8cf6126a-7d4f-4ad8-8c27-475de812dc54","resolution":{"observed_at":"2026-08-05T05:50:39.065623Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.05400","last_updated":"2023-06-08T17:52:30Z","snapshot_observed_at":"2026-07-06T15:40:24.127663Z","submitted_at":"2023-06-08T17:52:30Z","title":"Classical simulations of noisy variational quantum circuits","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.05400","snapshot_observed_at":"2026-08-05T05:50:39.069481Z","title":"Fontana, M","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.069481Z"},"links":{"cited_paper":"/paper/2306.05400","citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:f39d1f3e341696f20d13a2e96f3c3866073572be8cc707e1d52b63a3d2171ab2","observation_id":"d1aeb56c-35c9-473b-887f-2f23b6830fe6","resolution":{"observed_at":"2026-08-05T05:50:39.069481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.07585","last_updated":"2021-03-13T00:49:51Z","snapshot_observed_at":"2026-08-05T17:19:15.633918Z","submitted_at":"2021-03-13T00:49:51Z","title":"Quantum circuit optimization with deep reinforcement learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.07585","snapshot_observed_at":"2026-08-05T05:50:39.073548Z","title":"F ¨osel, M","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.073548Z"},"links":{"cited_paper":"/paper/2103.07585","citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:0392686148dfd8929b5af3e31c10e999946b2000c1bf611466f88a9a2ccc4939","observation_id":"e452fce4-8fdc-4a5d-95e5-c9fca34807f0","resolution":{"observed_at":"2026-08-05T05:50:39.073548Z","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":"2026-08-05T05:50:39.077842Z","title":"Friedrich and J","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.077842Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:1b2818821640030543ea744866aa92ca53ca01702b6a67d111bc382766d1ee93","observation_id":"87d8a8d2-074a-4160-b953-7ef1d4bdcc43","resolution":{"observed_at":"2026-08-05T05:50:39.077842Z","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":"2026-08-05T05:50:39.081796Z","title":"Frohnert and E","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.081796Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:b0970da5884441e1e3fa3bed8f0345fb08c915498a0f161248898aeea43654b9","observation_id":"c0f419d6-02d9-47a2-8cb2-85f28ece3156","resolution":{"observed_at":"2026-08-05T05:50:39.081796Z","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":"2026-08-05T05:50:39.085994Z","title":"F ¨urrutter, G","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.085994Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:4a8bbcb20b2ae68a869507c5e4e5833f89bedb489b4e7f5d6943a90461e1cff3","observation_id":"84ba724d-9ed3-4f67-8137-f396c999af58","resolution":{"observed_at":"2026-08-05T05:50:39.085994Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05116","last_updated":"2024-08-09T15:07:42Z","snapshot_observed_at":"2026-07-06T18:58:52.488614Z","submitted_at":"2024-08-09T15:07:42Z","title":"Concept learning of parameterized quantum models from limited measurements","version":1},"cited_work":{"arxiv_id":"2408.05116","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.05116","snapshot_observed_at":"2026-08-05T05:50:41.264970Z","title":"Concept learning of parameterized quantum models from limited measurements","venue":"quant-ph","work_id":"956012dd-7e21-4c58-a8b6-a46967549773","year":2024},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.090026Z"},"links":{"cited_paper":"/paper/2408.05116","citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:1aaf2478da4fadd8d09e8c1c5666c9c6aca251137d34eac3efdf203d4b88a78b","observation_id":"d22d97f8-78d6-4061-9b7f-8ec7a1679e56","resolution":{"observed_at":"2026-08-05T05:50:41.269615Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T05:50:39.094229Z","title":"Gao et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.094229Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:cd130eb387aba97ee45f682afb2e97c92152a71fb78cd60ea448008cd4349b17","observation_id":"d6f5b172-242c-493f-ae8c-f06a103b8956","resolution":{"observed_at":"2026-08-05T05:50:39.094229Z","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":"2026-08-05T05:50:39.098262Z","title":"Gao et al","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.098262Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:b5966d0a0de6fb480c9619fb8bd6035a951d7b633f32770f0a8a7a111a4db009","observation_id":"3058c991-782f-45c2-a509-223e98e08f81","resolution":{"observed_at":"2026-08-05T05:50:39.098262Z","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":"2026-08-05T05:50:39.102300Z","title":"Gao and L.-M","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:39.102300Z"},"links":{"citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:ed5593a4040fe79650cb603fe7ed74528c5fe5648cf5e18278b947f867e0aebb","observation_id":"086d4cd8-4980-47f5-9029-3a370d4adb29","resolution":{"observed_at":"2026-08-05T05:50:39.102300Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","latest_version":1,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-06T16:09:42.120013Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":96,"verified_exact":4,"verified_fuzzy":0},"total_outbound_references":300},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 7 inbound Pith citation observations for arXiv:2509.04923."}