{"as_of":"2026-08-09T19:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ecfd5207ff05e1ea96d03e2bbc7edec104a03b9e534398de872393e8e8aeb47d","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":"2026-08-05T13:45:44.297460Z","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":"2026-08-05T13:45:45.388070Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.21042","last_updated":"2024-10-28T13:58:17Z","snapshot_observed_at":"2026-07-06T19:40:48.425432Z","submitted_at":"2024-10-28T13:58:17Z","title":"Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition","version":1},"cited_work":{"arxiv_id":"2410.21042","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.21042","snapshot_observed_at":"2026-08-05T13:45:45.388070Z","title":"Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition","venue":"cs.CV","work_id":"c696c572-2de4-4979-995b-e2e2dbc09f94","year":2024},"citing_paper":{"arxiv_id":"2509.00374","last_updated":"2025-08-30T06:02:21Z","snapshot_observed_at":"2026-08-05T13:45:20.748062Z","submitted_at":"2025-08-30T06:02:21Z","title":"Adaptive Point-Prompt Tuning: Fine-Tuning Heterogeneous Foundation Models for 3D Point Cloud Analysis","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-05T13:45:44.297460Z"},"links":{"cited_paper":"/paper/2410.21042","citing_paper":"/paper/2509.00374"},"observation_digest":"sha256:e24683eb6787123d881f2f1f75fb7c00fc926254005d84ce9a9c9cc55c843283","observation_id":"ce6ced25-f3f8-45c9-a70d-23a87933b1e1","resolution":{"observed_at":"2026-08-05T13:45:45.442260Z","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/2410.21042/citation-record","integrity":"/paper/2410.21042/integrity","json":"/paper/2410.21042/citation-record.json","paper":"/paper/2410.21042"},"outbound":[],"paper":{"arxiv_id":"2410.21042","last_updated":"2024-10-28T13:58:17Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T19:40:48.425432Z","submitted_at":"2024-10-28T13:58:17Z","title":"Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition"},"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:2410.21042."}