{"as_of":"2026-08-05T14:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:36e4ac7090667d8f2c74e546ed798beb2dbb20e9426cd8e69b0069b904c181dd","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":"2026-08-05T06:32:48.257954+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":"2026-05-15T04:55:21.695261Z","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":"2026-05-15T04:59:45.958215Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.15466","last_updated":"2023-03-29T01:59:30Z","snapshot_observed_at":"2026-08-05T09:07:51.447573Z","submitted_at":"2023-03-25T03:31:46Z","title":"Supervised Masked Knowledge Distillation for Few-Shot Transformers","version":2},"cited_work":{"arxiv_id":"2303.15466","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.15466","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"24864b72-202e-49df-a95f-3e7c9a8378b5","year":2023},"citing_paper":{"arxiv_id":"2605.14145","last_updated":"2026-05-13T21:52:05Z","snapshot_observed_at":"2026-08-02T23:05:14.534876Z","submitted_at":"2026-05-13T21:52:05Z","title":"Rethinking the Good Enough Embedding for Easy Few-Shot Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-15T04:55:21.695261Z"},"links":{"cited_paper":"/paper/2303.15466","citing_paper":"/paper/2605.14145"},"observation_digest":"sha256:26eb92a0a13c76d93ea686523b3d6a27194d319357dedb9d1706879d5fa7c720","observation_id":"26f16b7e-2bc2-4cb5-9045-3cfddfe9bfda","resolution":{"observed_at":"2026-05-15T04:59:45.961125Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2303.15466/citation-record","integrity":"/paper/2303.15466/integrity","json":"/paper/2303.15466/citation-record.json","paper":"/paper/2303.15466"},"outbound":[],"paper":{"arxiv_id":"2303.15466","last_updated":"2023-03-29T01:59:30Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-05T09:07:51.447573Z","submitted_at":"2023-03-25T03:31:46Z","title":"Supervised Masked Knowledge Distillation for Few-Shot Transformers"},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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:2303.15466."}