{"as_of":"2026-08-09T13:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:035be859d94c315e5c5bd16dab70273deae55375879155122bd3ab4613db85ae","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":"2026-08-09T06:31:02.800959+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":"2026-08-08T14:36:36.438299Z","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":"2026-08-08T14:36:36.967638Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.11973","last_updated":"2023-11-20T18:01:29Z","snapshot_observed_at":"2026-08-05T09:54:58.638813Z","submitted_at":"2023-11-20T18:01:29Z","title":"Adaptive Training Distributions with Scalable Online Bilevel Optimization","version":1},"cited_work":{"arxiv_id":"2311.11973","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.11973","snapshot_observed_at":"2026-08-08T14:36:36.967638Z","title":"Adaptive Training Distributions with Scalable Online Bilevel Optimization","venue":"cs.LG","work_id":"bba1d828-8162-45e1-a0c3-390234295c2f","year":2023},"citing_paper":{"arxiv_id":"2502.06733","last_updated":"2025-02-10T17:57:15Z","snapshot_observed_at":"2026-08-09T06:26:06.352592Z","submitted_at":"2025-02-10T17:57:15Z","title":"Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-08T14:36:36.438299Z"},"links":{"cited_paper":"/paper/2311.11973","citing_paper":"/paper/2502.06733"},"observation_digest":"sha256:a1b807ffad3fa10b1e2d1bfc0cdaeffd972f13661d5afab54f55abd1d4664109","observation_id":"7351fd65-d779-4697-ba4c-ce4641107993","resolution":{"observed_at":"2026-08-08T14:36:36.972736Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2311.11973/citation-record","integrity":"/paper/2311.11973/integrity","json":"/paper/2311.11973/citation-record.json","paper":"/paper/2311.11973"},"outbound":[],"paper":{"arxiv_id":"2311.11973","last_updated":"2023-11-20T18:01:29Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-05T09:54:58.638813Z","submitted_at":"2023-11-20T18:01:29Z","title":"Adaptive Training Distributions with Scalable Online Bilevel Optimization"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2311.11973."}