{"as_of":"2026-08-19T11:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:05478fcfecfc5fc83a7f9f78cfb4f94ab87a4b52712d8554e09c836706e0a7f9","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":"2026-08-19T06:32:44.657259+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":"2026-05-18T19:09:04.217591Z","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":"2026-05-18T19:11:46.621791Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2010.10458","last_updated":"2020-10-20T17:16:29Z","snapshot_observed_at":"2026-08-19T09:53:39.952685Z","submitted_at":"2020-10-20T17:16:29Z","title":"Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters","version":1},"cited_work":{"arxiv_id":"2010.10458","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2010.10458","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Towards scalable distributed training of deep learning on public cloud clusters","venue":null,"work_id":"b7fd7394-862a-42be-ae8f-197acbddbc52","year":2020},"citing_paper":{"arxiv_id":"2509.03472","last_updated":"2026-04-15T20:18:20Z","snapshot_observed_at":"2026-08-13T01:10:37.465737Z","submitted_at":"2025-09-03T16:51:26Z","title":"DPQuant: Efficient and Differentially-Private Model Training via Dynamic Quantization Scheduling","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-18T19:09:04.217591Z"},"links":{"cited_paper":"/paper/2010.10458","citing_paper":"/paper/2509.03472"},"observation_digest":"sha256:6dd8c37e8babc5eadfd6b9d02d7313f67340c5312208572b6d155f04442d62aa","observation_id":"1ecb6061-6431-4c28-9019-c7389b57a34c","resolution":{"observed_at":"2026-05-18T19:11:46.624070Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2010.10458/citation-record","integrity":"/paper/2010.10458/integrity","json":"/paper/2010.10458/citation-record.json","paper":"/paper/2010.10458"},"outbound":[],"paper":{"arxiv_id":"2010.10458","last_updated":"2020-10-20T17:16:29Z","latest_version":1,"primary_category":"cs.DC","snapshot_observed_at":"2026-08-19T09:53:39.952685Z","submitted_at":"2020-10-20T17:16:29Z","title":"Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2010.10458."}