{"as_of":"2026-08-12T06:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6084fb80793243ee7753c51440ab8e26f2edec8bd8385a65aede9fd9d9f384bc","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":"2026-08-07T06:03:16.120973Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T06:03:16.184120Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2211.04908","last_updated":"2022-12-07T12:38:18Z","snapshot_observed_at":"2026-08-12T04:04:59.294383Z","submitted_at":"2022-11-09T14:16:30Z","title":"Profiling and Improving the PyTorch Dataloader for high-latency Storage: A Technical Report","version":2},"cited_work":{"arxiv_id":"2211.04908","doi":null,"metadata_source":"pith","pith_arxiv_id":"2211.04908","snapshot_observed_at":"2026-08-07T06:03:16.184120Z","title":"Profiling and Improving the PyTorch Dataloader for high-latency Storage: A Technical Report","venue":"cs.LG","work_id":"35309931-591e-4795-b3fc-85ca8ba80195","year":2022},"citing_paper":{"arxiv_id":"2506.06235","last_updated":"2025-06-06T16:54:13Z","snapshot_observed_at":"2026-08-07T05:55:43.392545Z","submitted_at":"2025-06-06T16:54:13Z","title":"Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T06:03:16.120973Z"},"links":{"cited_paper":"/paper/2211.04908","citing_paper":"/paper/2506.06235"},"observation_digest":"sha256:c9a6172ee56b0fffe49e86e1b6165fdedfb406c0f2293bcb45efba2c17e0285f","observation_id":"38fb937b-76aa-4e94-a95f-0e87850cad33","resolution":{"observed_at":"2026-08-07T06:03:16.188800Z","resolver_source":"local_arxiv","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/2211.04908/citation-record","integrity":"/paper/2211.04908/integrity","json":"/paper/2211.04908/citation-record.json","paper":"/paper/2211.04908"},"outbound":[],"paper":{"arxiv_id":"2211.04908","last_updated":"2022-12-07T12:38:18Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-12T04:04:59.294383Z","submitted_at":"2022-11-09T14:16:30Z","title":"Profiling and Improving the PyTorch Dataloader for high-latency Storage: A Technical Report"},"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 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2211.04908."}