{"as_of":"2026-08-05T04:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e7e580148725a5cdd0899e7e0ea4df227cb47f1f70b1cca0f04fa333b7e77afa","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":"2026-08-04T06:34:03.388597+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":"2026-05-15T03:05:36.871497Z","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":"2026-05-15T03:08:59.698838Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2110.05838","last_updated":"2021-10-12T09:00:46Z","snapshot_observed_at":"2026-07-06T11:56:53.376781Z","submitted_at":"2021-10-12T09:00:46Z","title":"Balancing Average and Worst-case Accuracy in Multitask Learning","version":1},"cited_work":{"arxiv_id":"2110.05838","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2110.05838","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2110.05838 , year=","venue":null,"work_id":"887ce139-f8f0-4f15-889b-abea533f5208","year":null},"citing_paper":{"arxiv_id":"2605.14350","last_updated":"2026-05-14T04:22:24Z","snapshot_observed_at":"2026-07-06T23:25:49.545418Z","submitted_at":"2026-05-14T04:22:24Z","title":"Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling","version":1},"reference_index":218,"source":"arxiv_source","source_observed_at":"2026-05-15T03:05:36.871497Z"},"links":{"cited_paper":"/paper/2110.05838","citing_paper":"/paper/2605.14350"},"observation_digest":"sha256:d7a2b6989341ae85793f336ff11740f63ec67d218eedac1bd3a0360bfed9daf1","observation_id":"f4b3d74f-8fb1-4bf7-9981-6938aa704f8b","resolution":{"observed_at":"2026-05-15T03:08:59.701747Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2110.05838/citation-record","integrity":"/paper/2110.05838/integrity","json":"/paper/2110.05838/citation-record.json","paper":"/paper/2110.05838"},"outbound":[],"paper":{"arxiv_id":"2110.05838","last_updated":"2021-10-12T09:00:46Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T11:56:53.376781Z","submitted_at":"2021-10-12T09:00:46Z","title":"Balancing Average and Worst-case Accuracy in Multitask Learning"},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2110.05838."}