{"as_of":"2026-08-11T07:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:908db1f4506323bd0504ac9cc369f2b804ff15d76db9e699a3762d44313ae250","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":"2026-06-28T13:46:42.702043Z","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":"2026-07-01T23:56:24.059652Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2008.01000","last_updated":"2020-08-03T16:38:28Z","snapshot_observed_at":"2026-08-11T05:47:47.004469Z","submitted_at":"2020-08-03T16:38:28Z","title":"Predicting Channel Quality Indicators for 5G Downlink Scheduling in a Deep Learning Approach","version":1},"cited_work":{"arxiv_id":"2008.01000","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2008.01000","snapshot_observed_at":"2026-07-01T23:56:24.059652Z","title":"Predicting channel quality indicators for 5G downlink scheduling in a deep learning approach,","venue":null,"work_id":"db12d2d3-9825-4bd0-9164-229b5efd121f","year":2008},"citing_paper":{"arxiv_id":"2606.01972","last_updated":"2026-06-01T09:34:39Z","snapshot_observed_at":"2026-08-08T00:19:10.499942Z","submitted_at":"2026-06-01T09:34:39Z","title":"AI-Based KPI Prediction Methods in Future 6G Networks: A Survey","version":1},"reference_index":147,"source":"pdf_text","source_observed_at":"2026-06-28T13:46:42.702043Z"},"links":{"cited_paper":"/paper/2008.01000","citing_paper":"/paper/2606.01972"},"observation_digest":"sha256:4cf1622a5117792c73cd2eca60d5edbbcb5a30ca8280c713cf635beb5971d99d","observation_id":"fa27680f-8e21-4453-a68e-c26a8420d12e","resolution":{"observed_at":"2026-07-01T23:56:24.061630Z","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/2008.01000/citation-record","integrity":"/paper/2008.01000/integrity","json":"/paper/2008.01000/citation-record.json","paper":"/paper/2008.01000"},"outbound":[],"paper":{"arxiv_id":"2008.01000","last_updated":"2020-08-03T16:38:28Z","latest_version":1,"primary_category":"cs.NI","snapshot_observed_at":"2026-08-11T05:47:47.004469Z","submitted_at":"2020-08-03T16:38:28Z","title":"Predicting Channel Quality Indicators for 5G Downlink Scheduling in a Deep Learning Approach"},"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:2008.01000."}