{"as_of":"2026-08-22T03:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f1ad8f10b2da249e5be94ed24d2972397de0589e5779b0fbb183a15da0c7e8ec","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T21:12:46.623470Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2503.24171","last_updated":"2025-04-10T01:24:42Z","snapshot_observed_at":"2026-08-20T13:58:38.901382Z","submitted_at":"2025-03-31T14:50:00Z","title":"Hamiltonian Dynamics Learning: A Scalable Approach to Quantum Process Characterization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.24171","snapshot_observed_at":"2026-08-02T21:12:46.623470Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.21510","last_updated":"2026-07-30T00:39:01Z","snapshot_observed_at":"2026-08-08T20:09:04.590345Z","submitted_at":"2026-02-25T02:51:49Z","title":"Universal Sample Complexity Bounds in Quantum Learning Theory via Fisher Information Matrix","version":4},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:46.623470Z"},"links":{"cited_paper":"/paper/2503.24171","citing_paper":"/paper/2602.21510"},"observation_digest":"sha256:49ef8ef8be76c61845a8cf029a62100161463c77f2d5357e7097da7d07c04fce","observation_id":"d2225ec4-1181-4a58-81e1-c237209069ce","resolution":{"observed_at":"2026-08-02T21:12:46.623470Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.24171","last_updated":"2025-04-10T01:24:42Z","snapshot_observed_at":"2026-08-20T13:58:38.901382Z","submitted_at":"2025-03-31T14:50:00Z","title":"Hamiltonian Dynamics Learning: A Scalable Approach to Quantum Process Characterization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.24171","snapshot_observed_at":"2026-08-02T19:44:58.685647Z","title":"Hamiltonian dynamics learning: A scalable approach to quantum process characterization.arXiv preprint arXiv:2503.24171, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.01521","last_updated":"2026-06-22T03:14:26Z","snapshot_observed_at":"2026-08-19T00:49:04.519188Z","submitted_at":"2026-03-02T06:50:59Z","title":"Efficient Noisy Quantum State and Process Tomography","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-02T19:44:58.685647Z"},"links":{"cited_paper":"/paper/2503.24171","citing_paper":"/paper/2603.01521"},"observation_digest":"sha256:69325bd3f16cdedd3258fb016afcafc31be88436887c8fb96bd6db38fc46e031","observation_id":"9bd67d9d-6952-40f2-9a90-5e1193ba019b","resolution":{"observed_at":"2026-08-02T19:44:58.685647Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2503.24171/citation-record","integrity":"/paper/2503.24171/integrity","json":"/paper/2503.24171/citation-record.json","paper":"/paper/2503.24171"},"outbound":[],"paper":{"arxiv_id":"2503.24171","last_updated":"2025-04-10T01:24:42Z","latest_version":3,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-20T13:58:38.901382Z","submitted_at":"2025-03-31T14:50:00Z","title":"Hamiltonian Dynamics Learning: A Scalable Approach to Quantum Process Characterization"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.24171."}