{"as_of":"2026-08-11T11:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:194c01d3dcc1209eaf2dca2c6ae85e60c5350bf0edf368bbe1ef45946f088908","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":"2026-08-11T06:34:44.6726+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":"2026-05-19T18:20:56.647639Z","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":"2026-05-19T18:22:43.268650Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2106.04756","last_updated":"2022-01-07T18:38:44Z","snapshot_observed_at":"2026-08-06T09:00:55.151216Z","submitted_at":"2021-06-09T00:59:33Z","title":"Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient","version":2},"cited_work":{"arxiv_id":"2106.04756","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.04756","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e9cbf8af-1e6a-48d4-a236-a47b05a74bd2","year":2022},"citing_paper":{"arxiv_id":"2605.16187","last_updated":"2026-05-15T17:06:56Z","snapshot_observed_at":"2026-08-02T18:39:12.506039Z","submitted_at":"2026-05-15T17:06:56Z","title":"Near-optimal Online Traffic Engineering","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-19T18:20:56.647639Z"},"links":{"cited_paper":"/paper/2106.04756","citing_paper":"/paper/2605.16187"},"observation_digest":"sha256:e6a32600e908f0ed137f661ed12e6c97737c4b7e99c13b6b63098c626a228d78","observation_id":"545f8b7f-db8c-475f-ae83-33fd12cce077","resolution":{"observed_at":"2026-05-19T18:22:43.270566Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2106.04756/citation-record","integrity":"/paper/2106.04756/integrity","json":"/paper/2106.04756/citation-record.json","paper":"/paper/2106.04756"},"outbound":[],"paper":{"arxiv_id":"2106.04756","last_updated":"2022-01-07T18:38:44Z","latest_version":2,"primary_category":"math.OC","snapshot_observed_at":"2026-08-06T09:00:55.151216Z","submitted_at":"2021-06-09T00:59:33Z","title":"Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2106.04756."}