{"as_of":"2026-08-20T04:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2649cbbb3fedf6591d99dee60ec481fbc4a4176a6cf2494040edc74791ac98a1","coverage":[{"denominator":35,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":35,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T02:00:40.428033Z","state":"measured"},{"denominator":35,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":35,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.15316/citation-record","integrity":"/paper/2607.15316/integrity","json":"/paper/2607.15316/citation-record.json","paper":"/paper/2607.15316"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T02:00:37.124339Z","title":"Robust and effi- cient Hamiltonian learning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:37.124339Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:bead58cdfd220c4a7c181f4d71ff949467c706009d98dad7a7cd1ab7fad413fb","observation_id":"792942e1-57f7-4dbe-9926-ee99b4159af3","resolution":{"observed_at":"2026-08-02T02:00:37.124339Z","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":"2026-08-02T02:00:37.194095Z","title":"Learning many-body Hamiltonians with Heisenberg-limited scaling,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:37.194095Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:23a642e8ef2a2907d52ca74be03132a1e3a12224e5609d84813108aea0a52b2f","observation_id":"0717f55c-7de8-4a77-b7b4-719874275475","resolution":{"observed_at":"2026-08-02T02:00:37.194095Z","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":"2026-08-02T02:00:37.262964Z","title":"Practical Hamil- tonian learning with unitary dynamics and Gibbs states,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:37.262964Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:4c56c6b50aed705ae04a4353c9ae94ae3505a8e17c737c7aacb3984b4b7087af","observation_id":"6c1cf630-7633-4512-acb2-18230b36ef67","resolution":{"observed_at":"2026-08-02T02:00:37.262964Z","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":"2026-08-02T02:00:37.321349Z","title":"Solving the quantum many-body Hamiltonian learning problem with neural differential equations,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:37.321349Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:fbf2b8b6995783683fa61ea3240bc14bc6f91ed7003cd0e00317861f787e7f01","observation_id":"d5d25a54-4164-4faf-9152-4ba09f605db4","resolution":{"observed_at":"2026-08-02T02:00:37.321349Z","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":"2026-08-02T02:00:37.487717Z","title":"Hamiltonian learning via quantum Zeno effect,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:37.487717Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:a683bae8fbda39c1da4ce320ef47f2afa59cd2ebd430b8a534be440cc16aed36","observation_id":"54df69be-b46b-4454-b839-d8302d61de48","resolution":{"observed_at":"2026-08-02T02:00:37.487717Z","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":"2026-08-02T02:00:37.632825Z","title":"Hamiltonian and Liouvillian learn- ing in weakly-dissipative quantum many-body sys- tems,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:37.632825Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:46127ef677b68310dd202bc6e66e35b9d8996c617c1684c670aa1f2eb4507a36","observation_id":"895e591c-9443-49a8-8be0-fb3ef18f86fc","resolution":{"observed_at":"2026-08-02T02:00:37.632825Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.14328","last_updated":"2022-09-28T18:00:57Z","snapshot_observed_at":"2026-08-17T17:14:45.224848Z","submitted_at":"2022-09-28T18:00:57Z","title":"Scalably learning quantum many-body Hamiltonians from dynamical data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.14328","snapshot_observed_at":"2026-08-02T02:00:37.759252Z","title":"Scalably learning quantum many- body Hamiltonians from dynamical data,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:37.759252Z"},"links":{"cited_paper":"/paper/2209.14328","citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:eb47a10c71dbc652fff1b4b830a3e0cca81f67a33b7e9f16e889e9c7c0004bb8","observation_id":"dc7c46ff-2254-46be-b1d2-30d8d8aa17fb","resolution":{"observed_at":"2026-08-02T02:00:37.759252Z","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":"2026-08-02T02:00:37.855396Z","title":"Optimal and robust in-situ quantum Hamiltonian learning through paral- lelization,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:37.855396Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:06e983bad72d328a160af3bd34c95cd5d0cf3749e4fbc086b670bbdda29470ad","observation_id":"7a8c7f6f-a31d-48c5-8122-efb82d9cb657","resolution":{"observed_at":"2026-08-02T02:00:37.855396Z","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":"2026-08-02T02:00:37.948545Z","title":"Sample-efficient learning of inter- actingquantumsystems,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:37.948545Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:db9144e2b7fde2f6cf193c092d2a37ec689dbe3742f214b672f807f69b92ab63","observation_id":"9d91d86f-065e-4b1a-900a-a392b09d758a","resolution":{"observed_at":"2026-08-02T02:00:37.948545Z","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":"2026-08-02T02:00:38.044150Z","title":"Hamiltonian learning using machine-learning models trained with continu- ous measurements,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:38.044150Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:159b5d122f00b53409b29ee366924ba914bf7ea40e537d690adf736e5c0ade99","observation_id":"7506a17b-acb2-4a4c-8ca9-8e6e1324bc56","resolution":{"observed_at":"2026-08-02T02:00:38.044150Z","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":"2026-08-02T02:00:38.130861Z","title":"Unified quantum state tomography and Hamiltonian learning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:38.130861Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:02c7b1bc9e1e4ee4f1e3bd864c7db13a4cadd9bfd8468f1c27dfd39deb257b7a","observation_id":"aeb5a074-142c-45a6-b2e6-8ddf9d1ae407","resolution":{"observed_at":"2026-08-02T02:00:38.130861Z","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":"2026-08-02T02:00:38.312530Z","title":"A hybrid quantum- classical Hamiltonian learning algorithm,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:38.312530Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:d644b878101ef1aa87e98708740ae6b0625b3a760b9e8e4a6b57528f6d9aa4d7","observation_id":"432ff77c-d969-46fc-9000-58c3af235e79","resolution":{"observed_at":"2026-08-02T02:00:38.312530Z","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":"2026-08-02T02:00:38.389114Z","title":"Parameterized Hamiltonian learning with quantum circuit,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:38.389114Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:9e4d0a806e11181585de0d2a8e0c97a35e0a90f634cb9e73d3efa947bda4857b","observation_id":"abe4c5c4-fef9-4f03-8fcb-2160e77c73c4","resolution":{"observed_at":"2026-08-02T02:00:38.389114Z","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":"2026-08-02T02:00:38.476843Z","title":"Variational quantum algorithms,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:38.476843Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:6be2cfda99310910fa12ffedcf2bc3ebcf84bb2800b0e31235c088283a03157d","observation_id":"942e0ee3-3369-4fb6-a74e-43d315325c3c","resolution":{"observed_at":"2026-08-02T02:00:38.476843Z","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":"2026-08-02T02:00:38.570830Z","title":"Hamiltonian learning from time dy- namics using variational algorithms,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:38.570830Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:6b2a6004697065434cd11d61aafe4d0f7b3f326cb22e9317676e51491b56acc2","observation_id":"36b36f8c-9539-4be7-9940-543434cc5733","resolution":{"observed_at":"2026-08-02T02:00:38.570830Z","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":"2026-08-02T02:00:38.691056Z","title":"Multivariate stochastic approximation using a simultaneous perturbation gradient approx- imation,","venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:38.691056Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:1d4765d2739ca8ed4851d76885b61ed4ed1ee2b8a026aa708a10849389a1c081","observation_id":"7be1ac9f-8f43-4ab4-807d-714d242ea998","resolution":{"observed_at":"2026-08-02T02:00:38.691056Z","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":"2026-08-02T02:00:38.776737Z","title":"Adam: A method for stochastic optimization,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:38.776737Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:2566a4855553467eb98425a2d491bfca45b4a249aea923ba84580f4b2e699bf6","observation_id":"0d406ef7-7621-489b-a06a-c136cdd1f0ca","resolution":{"observed_at":"2026-08-02T02:00:38.776737Z","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":"2026-08-02T02:00:38.893819Z","title":"Learning a local Hamiltonian from local measurements,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:38.893819Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:a54483b719cbb0f9908c4c12efa503461bea507a7429fa2cf4a883835b131a11","observation_id":"097d04bf-ceb7-4596-91d1-c8387e6fb2be","resolution":{"observed_at":"2026-08-02T02:00:38.893819Z","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":"2026-08-02T02:00:38.980090Z","title":"Optimal learn- ing of quantum Hamiltonians from high-temperature Gibbs states,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:38.980090Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:24e2e7d0dc99e483b8cfda10786d7ea8d6c1b91407fb814859e6ac659cf6c812","observation_id":"ebe7bd68-c554-4cdd-908c-decbeb2a0147","resolution":{"observed_at":"2026-08-02T02:00:38.980090Z","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":"2026-08-02T02:00:39.071392Z","title":"Hamiltonian learning and certification using quan- tum resources,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:39.071392Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:2f6a4ccf6356fa87e357ebdc66d91448dbdab03056de7786ec43e2067a686aa0","observation_id":"2578b486-79d2-4322-9749-c6cad69f5344","resolution":{"observed_at":"2026-08-02T02:00:39.071392Z","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":"2026-08-02T02:00:39.168204Z","title":"Self-verifying variational quantum simulation of lattice models,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:39.168204Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:bafaf366ebddaa275f2a9f9c72a20088542392cb7bc77f106345224878b8dcc4","observation_id":"798190f7-7d18-4164-b979-4d32b9b37600","resolution":{"observed_at":"2026-08-02T02:00:39.168204Z","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":"2026-08-02T02:00:39.251134Z","title":"Predicting many properties of a quantum system from very few measurements,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:39.251134Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:2674fd3301921675631939aef25650fbaeff84653a86c9d3e905e7729fbaefc2","observation_id":"d5937d76-c3ab-436e-8c3a-8a92c9573d45","resolution":{"observed_at":"2026-08-02T02:00:39.251134Z","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":"2026-08-02T02:00:39.347061Z","title":"Hardware-efficient variational quantum eigensolver,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:39.347061Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:977f9720498f1cd27b802f71431aadfe48b71e9e45b11cb5e026ef146ad59ae0","observation_id":"7af664f9-e7a9-42d7-a0fa-5d50447b0645","resolution":{"observed_at":"2026-08-02T02:00:39.347061Z","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":"2026-08-02T02:00:39.415532Z","title":"Exploiting symmetry reduces the cost of training QAOA,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:39.415532Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:4f9c4451fc8928ab978f9ca15cfdc8500203f022aa5827df5f156fd4d15e13a7","observation_id":"039ad7f2-71c4-4710-846a-19fcdee8794b","resolution":{"observed_at":"2026-08-02T02:00:39.415532Z","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":"2026-08-02T02:00:39.543592Z","title":"Sachdev,Quantum Phase Transitions, 2nd ed., Cambridge University Press, 2011","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:39.543592Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:8b0424996debf41c536f6910f29ac06375da53637695c7bd432a3b4d10b26d81","observation_id":"f832bcf2-53a7-4291-88c6-d129aed6ae16","resolution":{"observed_at":"2026-08-02T02:00:39.543592Z","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":"2026-08-02T02:00:39.609221Z","title":null,"venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:39.609221Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:e1ac4d1df95504b0c7c25c82ba464d0049af278a6477244f286eb71423707a5d","observation_id":"e27eb484-25cd-42a7-83f0-3c7c4b12694b","resolution":{"observed_at":"2026-08-02T02:00:39.609221Z","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":"2026-08-02T02:00:39.769591Z","title":"A thermodynamic theory of weak ferromagnetism of antiferromagnetics,","venue":null,"work_id":null,"year":1958},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:39.769591Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:3263ce4e069595624f1fad1a92d585e98a09b4e53466358ea63db786b337b252","observation_id":"4b5ef493-e1a6-4db2-a108-9ed2b5bb6974","resolution":{"observed_at":"2026-08-02T02:00:39.769591Z","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":"2026-08-02T02:00:39.898627Z","title":"Nocedal and S","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:39.898627Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:72084b1138e4bc96744de3903dbab9dfe7f84252aae824b4b02bf17481a05655","observation_id":"064b8f59-ee56-4b2f-a00a-affb9311fa67","resolution":{"observed_at":"2026-08-02T02:00:39.898627Z","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":"2026-08-02T02:00:40.028651Z","title":"Curriculum Learning,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:40.028651Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:1ff051740700bae628853a3207741610c7149acc15526ae150f949757e915ec6","observation_id":"dd36dc1e-0ca2-4d2a-9531-9b1edb7245ed","resolution":{"observed_at":"2026-08-02T02:00:40.028651Z","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":"2026-08-02T02:00:40.064735Z","title":"Barren Plateaus in Quantum Neural Network Training Landscapes,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:40.064735Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:e3b31788187b0a4662d79f51c66e734e61cf75e98cb9c741ec472351e9683417","observation_id":"8c8ea743-e5fe-4605-822e-0eab83eb05b3","resolution":{"observed_at":"2026-08-02T02:00:40.064735Z","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":"2026-08-02T02:00:40.134388Z","title":"Barren Plateaus Are Swamped with Traps,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:40.134388Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:dc4a29b42bd9464da08085b23e5a4b22a4ae7ad6981d7c66061c9b18a6b8af07","observation_id":"28e8d809-fe2a-4037-aa47-11b96b92f9cd","resolution":{"observed_at":"2026-08-02T02:00:40.134388Z","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":"2026-08-02T02:00:40.198405Z","title":"Logic Gates at the Surface Code Threshold: Superconducting Qubits Poised for Fault-Tolerant Quantum Computing,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:40.198405Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:13f040bfb1d8f358c222cd406278cf1cbee2fabff7c46f6bb15913626de8579e","observation_id":"74d97944-276d-4a10-8997-c3a21f5a8feb","resolution":{"observed_at":"2026-08-02T02:00:40.198405Z","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":"2026-08-02T02:00:40.276151Z","title":"Quantum Computing in the NISQ Era and Beyond,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:40.276151Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:c200b14f891b9b88931890b3edfe97af285ae02c6972c0213907f0437886acbe","observation_id":"33165577-aa7f-4767-9302-f3d92d67aca7","resolution":{"observed_at":"2026-08-02T02:00:40.276151Z","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":"2026-08-02T02:00:40.334044Z","title":"Qiskit: An open-source frame- work for quantum computing,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:40.334044Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:52a1c7fa9a58e573209075466e81f9bc6981c376c661105f2413ea4b286ecedf","observation_id":"2fef2996-fd2b-458e-a71c-570328d6262d","resolution":{"observed_at":"2026-08-02T02:00:40.334044Z","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":"2026-08-02T02:00:40.428033Z","title":"Berkani,Variational Learning of Unknown Two-Qubit Hamiltonians from Quantum Observ- able Dynamics, Master’s dissertation, Univer- sité Ferhat Abbas Sétif 1, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-02T02:00:40.428033Z"},"links":{"citing_paper":"/paper/2607.15316"},"observation_digest":"sha256:4c13a4c59a17c5376559c2b4468408f85f1e896c5b0680fb72d77b36251c77d4","observation_id":"870a1d63-b263-4540-9efd-e17d2302bb2c","resolution":{"observed_at":"2026-08-02T02:00:40.428033Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.15316","last_updated":"2026-07-26T13:38:26Z","latest_version":2,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-14T23:44:04.513593Z","submitted_at":"2026-07-16T02:27:54Z","title":"Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":35,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":35},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.15316."}