{"as_of":"2026-08-08T18:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4107aa155f047ae6c89dbb82f0d2b416e72da7261c61f95aa15dd0110af284fa","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T14:04:23.239267Z","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":"2026-08-07T14:04:25.594547Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.01793","last_updated":"2024-09-03T11:17:44Z","snapshot_observed_at":"2026-08-01T22:05:12.610689Z","submitted_at":"2024-09-03T11:17:44Z","title":"Task Weighting through Gradient Projection for Multitask Learning","version":1},"cited_work":{"arxiv_id":"2409.01793","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.01793","snapshot_observed_at":"2026-08-07T14:04:25.594547Z","title":"Task Weighting through Gradient Projection for Multitask Learning","venue":"cs.LG","work_id":"8160f680-8195-4b47-a13f-e9fa97d3bb2d","year":2024},"citing_paper":{"arxiv_id":"2505.20380","last_updated":"2025-05-26T17:32:14Z","snapshot_observed_at":"2026-08-08T04:26:12.725477Z","submitted_at":"2025-05-26T17:32:14Z","title":"GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T14:04:23.239267Z"},"links":{"cited_paper":"/paper/2409.01793","citing_paper":"/paper/2505.20380"},"observation_digest":"sha256:425f30221c109c89cff38a87ddf2d3ce986f748e258826d31491542eb664402a","observation_id":"92c0370f-7511-416a-a66f-6593e8b22641","resolution":{"observed_at":"2026-08-07T14:04:25.628062Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2409.01793/citation-record","integrity":"/paper/2409.01793/integrity","json":"/paper/2409.01793/citation-record.json","paper":"/paper/2409.01793"},"outbound":[],"paper":{"arxiv_id":"2409.01793","last_updated":"2024-09-03T11:17:44Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-01T22:05:12.610689Z","submitted_at":"2024-09-03T11:17:44Z","title":"Task Weighting through Gradient Projection for 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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2409.01793."}