{"as_of":"2026-08-18T03:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:652ce752bc561af04d2a9bf14ff7bf390e7c83c74028d019654bca44d781d227","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T22:55:34.728139Z","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":"2026-08-11T12:02:42.215971Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2101.08085","last_updated":"2021-03-28T17:15:14Z","snapshot_observed_at":"2026-08-17T00:48:57.215629Z","submitted_at":"2021-01-20T11:48:12Z","title":"Few-shot Action Recognition with Prototype-centered Attentive Learning","version":4},"cited_work":{"arxiv_id":"2101.08085","doi":null,"metadata_source":"pith","pith_arxiv_id":"2101.08085","snapshot_observed_at":"2026-08-11T12:02:42.215971Z","title":"Few-shot Action Recognition with Prototype-centered Attentive Learning","venue":"cs.CV","work_id":"6e9c49d4-8104-4e76-85b4-51ee563f288f","year":2021},"citing_paper":{"arxiv_id":"2412.14719","last_updated":"2025-04-15T12:11:11Z","snapshot_observed_at":"2026-08-15T02:25:41.887809Z","submitted_at":"2024-12-19T10:41:24Z","title":"Prototypical Calibrating Ambiguous Samples for Micro-Action Recognition","version":3},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-11T12:02:42.159328Z"},"links":{"cited_paper":"/paper/2101.08085","citing_paper":"/paper/2412.14719"},"observation_digest":"sha256:24e2358041a7e9cdf1d617f92b8a8923b593963b5c2aa52fa6a839240187aad3","observation_id":"652cdb97-1427-432a-bc70-d2533964fe5d","resolution":{"observed_at":"2026-08-11T12:02:42.225119Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2101.08085","last_updated":"2021-03-28T17:15:14Z","snapshot_observed_at":"2026-08-17T00:48:57.215629Z","submitted_at":"2021-01-20T11:48:12Z","title":"Few-shot Action Recognition with Prototype-centered Attentive Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.08085","snapshot_observed_at":"2026-08-15T22:55:34.728139Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.06002","last_updated":"2025-07-03T03:25:01Z","snapshot_observed_at":"2026-08-15T22:48:30.159327Z","submitted_at":"2025-05-09T12:34:10Z","title":"Task-Adapter++: Task-specific Adaptation with Order-aware Alignment for Few-shot Action Recognition","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T22:55:34.728139Z"},"links":{"cited_paper":"/paper/2101.08085","citing_paper":"/paper/2505.06002"},"observation_digest":"sha256:72e3c19ed5d76351e7594e5a67c884079d5701733e4306f1f58ac089fc620cc8","observation_id":"42ffc510-3076-4f8b-8bdd-dbe3069cc957","resolution":{"observed_at":"2026-08-15T22:55:34.728139Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2101.08085/citation-record","integrity":"/paper/2101.08085/integrity","json":"/paper/2101.08085/citation-record.json","paper":"/paper/2101.08085"},"outbound":[],"paper":{"arxiv_id":"2101.08085","last_updated":"2021-03-28T17:15:14Z","latest_version":4,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T00:48:57.215629Z","submitted_at":"2021-01-20T11:48:12Z","title":"Few-shot Action Recognition with Prototype-centered Attentive 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":"2026-08-17T06:30:58.91139+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 2 inbound Pith citation observations for arXiv:2101.08085."}