{"as_of":"2026-08-10T23:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:434e93767fce1090e8fd96e64a4ec83219f1e39c2266371246d0c4c73392eebb","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":"2026-08-10T06:31:04.303077+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":"2026-08-09T19:59:58.770254Z","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":"2026-05-11T00:15:51.714326Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2202.10471","last_updated":"2022-11-02T10:01:17Z","snapshot_observed_at":"2026-08-07T22:54:49.830277Z","submitted_at":"2022-02-21T19:00:01Z","title":"Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.10471","snapshot_observed_at":"2026-08-09T19:59:58.770254Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.00190","last_updated":"2025-01-31T22:13:24Z","snapshot_observed_at":"2026-08-09T19:49:51.391778Z","submitted_at":"2025-01-31T22:13:24Z","title":"On the Effectiveness of Random Weights in Graph Neural Networks","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-09T19:59:58.770254Z"},"links":{"cited_paper":"/paper/2202.10471","citing_paper":"/paper/2502.00190"},"observation_digest":"sha256:e3c484ff8e8df42b3ab0eb493f2125fccd8c0dc6ab37ddc793a4073379a193b2","observation_id":"e7291b25-3df0-4da8-8c6f-8354fecd3b78","resolution":{"observed_at":"2026-08-09T19:59:58.770254Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.10471","last_updated":"2022-11-02T10:01:17Z","snapshot_observed_at":"2026-08-07T22:54:49.830277Z","submitted_at":"2022-02-21T19:00:01Z","title":"Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data","version":2},"cited_work":{"arxiv_id":"2202.10471","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.10471","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Classical versus quantum: Comparing tensor-network-based quantum circuits on Large Hadron Collider data","venue":null,"work_id":"7feffd12-d1ca-4239-a109-f34f539e73de","year":2022},"citing_paper":{"arxiv_id":"2604.06541","last_updated":"2026-04-08T00:33:50Z","snapshot_observed_at":"2026-08-08T23:32:44.770213Z","submitted_at":"2026-04-08T00:33:50Z","title":"Quantum-Inspired Tensor Network Autoencoders for Anomaly Detection: A MERA-Based Approach","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-10T18:38:36.907681Z"},"links":{"cited_paper":"/paper/2202.10471","citing_paper":"/paper/2604.06541"},"observation_digest":"sha256:6fdaa522e414aebff621aac6f236ac03b2ec0214e91d89b2d66049630aa1076e","observation_id":"2502e29f-19bd-4af2-ba49-b4044b334c26","resolution":{"observed_at":"2026-05-11T00:15:51.718577Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2202.10471/citation-record","integrity":"/paper/2202.10471/integrity","json":"/paper/2202.10471/citation-record.json","paper":"/paper/2202.10471"},"outbound":[],"paper":{"arxiv_id":"2202.10471","last_updated":"2022-11-02T10:01:17Z","latest_version":2,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-07T22:54:49.830277Z","submitted_at":"2022-02-21T19:00:01Z","title":"Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.10471."}