{"as_of":"2026-08-18T04:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e72a495ebcf174c3c4502c353e95b6cf6857c4a302bce6caeee859884e95e44c","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":"2026-08-16T04:33:25.816781Z","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":"2026-08-16T04:33:27.617104Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.14027","last_updated":"2024-01-25T09:18:51Z","snapshot_observed_at":"2026-08-17T19:56:56.839520Z","submitted_at":"2024-01-25T09:18:51Z","title":"The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustness","version":1},"cited_work":{"arxiv_id":"2401.14027","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.14027","snapshot_observed_at":"2026-08-16T04:33:27.617104Z","title":"The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustness","venue":"cs.LG","work_id":"b561bc02-05eb-402a-9608-c3a3e5a1b827","year":2024},"citing_paper":{"arxiv_id":"2505.01075","last_updated":"2025-05-02T07:33:00Z","snapshot_observed_at":"2026-08-17T23:24:02.735966Z","submitted_at":"2025-05-02T07:33:00Z","title":"Federated Adapter on Foundation Models: An Out-Of-Distribution Approach","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T04:33:25.816781Z"},"links":{"cited_paper":"/paper/2401.14027","citing_paper":"/paper/2505.01075"},"observation_digest":"sha256:16761fa646aae35c580d213223dc5c7474f200f9b6939945d6790b13e80fbfde","observation_id":"975c5b13-fd93-4898-91e7-9ad157e78a44","resolution":{"observed_at":"2026-08-16T04:33:27.709930Z","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/2401.14027/citation-record","integrity":"/paper/2401.14027/integrity","json":"/paper/2401.14027/citation-record.json","paper":"/paper/2401.14027"},"outbound":[],"paper":{"arxiv_id":"2401.14027","last_updated":"2024-01-25T09:18:51Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-17T19:56:56.839520Z","submitted_at":"2024-01-25T09:18:51Z","title":"The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustness"},"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:2401.14027."}