{"as_of":"2026-08-18T04:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3875a0ecbf42be5ea259c391e2c24c119b216e597163bcaa38fbe434b45f3255","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":"2026-08-17T06:30:58.91139+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":"2026-08-10T23:08:28.219044Z","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":"2026-08-10T23:08:29.080463Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.05264","last_updated":"2024-02-07T21:19:05Z","snapshot_observed_at":"2026-08-16T14:20:25.838417Z","submitted_at":"2024-02-07T21:19:05Z","title":"AdaBatchGrad: Combining Adaptive Batch Size and Adaptive Step Size","version":1},"cited_work":{"arxiv_id":"2402.05264","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.05264","snapshot_observed_at":"2026-08-10T23:08:29.080463Z","title":"AdaBatchGrad: Combining Adaptive Batch Size and Adaptive Step Size","venue":"cs.LG","work_id":"918c0034-70e6-438c-8f99-156b2018f45c","year":2024},"citing_paper":{"arxiv_id":"2412.21124","last_updated":"2025-03-16T21:10:15Z","snapshot_observed_at":"2026-08-17T20:30:23.005028Z","submitted_at":"2024-12-30T17:55:28Z","title":"Adaptive Batch Size Schedules for Distributed Training of Language Models with Data and Model Parallelism","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-10T23:08:28.219044Z"},"links":{"cited_paper":"/paper/2402.05264","citing_paper":"/paper/2412.21124"},"observation_digest":"sha256:89415037cb767e0ef4ee776d14234e1375201ea0817d6d5fddd3982b4d6020fd","observation_id":"22200e34-27dc-4aa2-874f-5bee70eadc5f","resolution":{"observed_at":"2026-08-10T23:08:29.105925Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2402.05264/citation-record","integrity":"/paper/2402.05264/integrity","json":"/paper/2402.05264/citation-record.json","paper":"/paper/2402.05264"},"outbound":[],"paper":{"arxiv_id":"2402.05264","last_updated":"2024-02-07T21:19:05Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T14:20:25.838417Z","submitted_at":"2024-02-07T21:19:05Z","title":"AdaBatchGrad: Combining Adaptive Batch Size and Adaptive Step Size"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2402.05264."}