{"as_of":"2026-08-09T12:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2a340addd0c5de76d47b5634595a5f676ad3495be4ebfcc8b3847cc97cd46d0a","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":"2026-07-14T14:29:04.708853Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.09263","last_updated":"2025-08-12T18:07:11Z","snapshot_observed_at":"2026-08-05T21:11:01.782275Z","submitted_at":"2025-08-12T18:07:11Z","title":"LLM Empowered Prototype Learning for Zero and Few-Shot Tasks on Tabular Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.09263","snapshot_observed_at":"2026-07-14T14:29:04.708853Z","title":"Llm empowered prototype learning for zero and few-shot tasks on tabular data.arXiv preprint arXiv:2508.09263, 2025a","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.09936","last_updated":"2026-07-10T19:33:47Z","snapshot_observed_at":"2026-08-09T04:39:35.657392Z","submitted_at":"2026-07-10T19:33:47Z","title":"SMETA-ZSL:Semantic Meta-Alignment for Zero-Shot Threat Classification","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-14T14:29:04.708853Z"},"links":{"cited_paper":"/paper/2508.09263","citing_paper":"/paper/2607.09936"},"observation_digest":"sha256:00a17fbb90aa92a00560a68e2f9f8719a4dc761f2705d6b06d3a31c32d357978","observation_id":"685c7f7c-e128-47de-b29d-6855335d7b50","resolution":{"observed_at":"2026-07-14T14:29:04.708853Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2508.09263/citation-record","integrity":"/paper/2508.09263/integrity","json":"/paper/2508.09263/citation-record.json","paper":"/paper/2508.09263"},"outbound":[],"paper":{"arxiv_id":"2508.09263","last_updated":"2025-08-12T18:07:11Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-05T21:11:01.782275Z","submitted_at":"2025-08-12T18:07:11Z","title":"LLM Empowered Prototype Learning for Zero and Few-Shot Tasks on Tabular Data"},"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:2508.09263."}