{"as_of":"2026-08-12T17:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9f5267103e350a33a612829abb04e9e9ceea2648dd7e73b3b7a7dac1926f8ed1","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T13:22:21.287216Z","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":"2026-07-04T07:29:39.354146Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2210.14533","last_updated":"2022-10-26T07:52:06Z","snapshot_observed_at":"2026-07-06T14:10:32.433250Z","submitted_at":"2022-10-26T07:52:06Z","title":"A robust GMRES algorithm in Tensor Train format","version":1},"cited_work":{"arxiv_id":"2210.14533","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2210.14533","snapshot_observed_at":"2026-07-04T07:29:39.354146Z","title":"Coulaud, L","venue":null,"work_id":"9348a60a-c463-40ce-978c-69f1e47abf4e","year":2022},"citing_paper":{"arxiv_id":"2606.21750","last_updated":"2026-06-19T21:08:18Z","snapshot_observed_at":"2026-08-07T03:52:28.403983Z","submitted_at":"2026-06-19T21:08:18Z","title":"Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-06-26T13:22:21.287216Z"},"links":{"cited_paper":"/paper/2210.14533","citing_paper":"/paper/2606.21750"},"observation_digest":"sha256:03709c337f20c9d9d36b573037be9ed9d5b7540e2c235eac813d25de59910fec","observation_id":"7ed95830-0691-40d1-8456-3d45f6552f6e","resolution":{"observed_at":"2026-07-04T07:29:39.355948Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2210.14533/citation-record","integrity":"/paper/2210.14533/integrity","json":"/paper/2210.14533/citation-record.json","paper":"/paper/2210.14533"},"outbound":[],"paper":{"arxiv_id":"2210.14533","last_updated":"2022-10-26T07:52:06Z","latest_version":1,"primary_category":"cs.DC","snapshot_observed_at":"2026-07-06T14:10:32.433250Z","submitted_at":"2022-10-26T07:52:06Z","title":"A robust GMRES algorithm in Tensor Train format"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2210.14533."}