{"as_of":"2026-08-07T23:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1e601c686fffc44032c520604c851ea79c5daac18e74e5c9ff7f5d1d585985f4","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":"2026-08-07T06:34:17.273281+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":"2026-08-03T23:48:00.743479Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T12:11:04.548432Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2205.06217","last_updated":"2022-05-12T17:01:41Z","snapshot_observed_at":"2026-08-07T01:33:35.240482Z","submitted_at":"2022-05-12T17:01:41Z","title":"Exploiting symmetry in variational quantum machine learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.06217","snapshot_observed_at":"2026-08-03T23:48:00.743479Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.04243","last_updated":"2026-01-27T07:35:14Z","snapshot_observed_at":"2026-08-06T17:51:36.668652Z","submitted_at":"2025-11-06T10:29:24Z","title":"Twirlator: A Pipeline for Analyzing Subgroup Symmetry Effects in Quantum Machine Learning Ansatzes","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-03T23:48:00.743479Z"},"links":{"cited_paper":"/paper/2205.06217","citing_paper":"/paper/2511.04243"},"observation_digest":"sha256:d754ac2f9eca4f8aa4655c92f49bf02f3b595215ccd9b744895bd852846690b4","observation_id":"ac983dfc-5f23-43d0-91a6-aad7f517f319","resolution":{"observed_at":"2026-08-03T23:48:00.743479Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.06217","last_updated":"2022-05-12T17:01:41Z","snapshot_observed_at":"2026-08-07T01:33:35.240482Z","submitted_at":"2022-05-12T17:01:41Z","title":"Exploiting symmetry in variational quantum machine learning","version":1},"cited_work":{"arxiv_id":"2205.06217","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.06217","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Exploiting symmetry in variational quantum machine learning.PRX Quantum, 4(1):010328, March 2023","venue":null,"work_id":"cd284de2-78c2-400e-b84d-4a0daf0f34d1","year":2023},"citing_paper":{"arxiv_id":"2604.18846","last_updated":"2026-04-20T21:12:10Z","snapshot_observed_at":"2026-07-06T23:05:35.374092Z","submitted_at":"2026-04-20T21:12:10Z","title":"Trainability Beyond Linearity in Variational Quantum Objectives","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-10T04:07:06.038782Z"},"links":{"cited_paper":"/paper/2205.06217","citing_paper":"/paper/2604.18846"},"observation_digest":"sha256:6b42b4ab9be5a506360eee70583b78bb2a66a14db0a115af7bddf2cd7923508a","observation_id":"74e22437-090f-4ca5-839e-ba46724b3718","resolution":{"observed_at":"2026-05-11T12:11:04.552364Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2205.06217/citation-record","integrity":"/paper/2205.06217/integrity","json":"/paper/2205.06217/citation-record.json","paper":"/paper/2205.06217"},"outbound":[],"paper":{"arxiv_id":"2205.06217","last_updated":"2022-05-12T17:01:41Z","latest_version":1,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-07T01:33:35.240482Z","submitted_at":"2022-05-12T17:01:41Z","title":"Exploiting symmetry in variational quantum machine learning"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.06217."}