{"as_of":"2026-08-17T00:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:aab6065c6c03c465bcd492c8c67f056061a3f857f36cfe39fcace3d7a22b0b30","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":"2026-08-16T06:30:59.297886+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":"2026-08-16T00:22:07.380446Z","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":"2026-08-12T14:04:25.487535Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2206.00790","last_updated":"2025-03-22T21:25:12Z","snapshot_observed_at":"2026-08-16T16:55:52.798544Z","submitted_at":"2022-06-01T22:46:34Z","title":"Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction","version":3},"cited_work":{"arxiv_id":"2206.00790","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.00790","snapshot_observed_at":"2026-08-12T14:04:25.487535Z","title":"Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction","venue":"cs.CV","work_id":"9163e492-87de-4a45-8eab-1fc931790641","year":2022},"citing_paper":{"arxiv_id":"2411.15746","last_updated":"2024-11-24T07:48:20Z","snapshot_observed_at":"2026-08-16T14:38:51.724301Z","submitted_at":"2024-11-24T07:48:20Z","title":"PR-MIM: Delving Deeper into Partial Reconstruction in Masked Image Modeling","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T14:04:25.084499Z"},"links":{"cited_paper":"/paper/2206.00790","citing_paper":"/paper/2411.15746"},"observation_digest":"sha256:e88047edaac873bbf68a6b3481dfb96f9292f7e16c636db0849ace2a49abab99","observation_id":"f3e9acc0-1c77-475c-8225-b1e9ba923b94","resolution":{"observed_at":"2026-08-12T14:04:25.491864Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.00790","last_updated":"2025-03-22T21:25:12Z","snapshot_observed_at":"2026-08-16T16:55:52.798544Z","submitted_at":"2022-06-01T22:46:34Z","title":"Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.00790","snapshot_observed_at":"2026-08-16T00:22:07.380446Z","title":"Efficient","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.12084","last_updated":"2026-08-12T14:07:09Z","snapshot_observed_at":"2026-08-16T00:50:45.268717Z","submitted_at":"2026-08-12T14:07:09Z","title":"NAE: Normalizing AutoEncoder","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-16T00:22:07.380446Z"},"links":{"cited_paper":"/paper/2206.00790","citing_paper":"/paper/2608.12084"},"observation_digest":"sha256:5461275942254fbd8331d81677831846677b4df850e283c9b4aa4f214678547f","observation_id":"b9cce0e6-7a71-46fa-b473-aca06af98f69","resolution":{"observed_at":"2026-08-16T00:22:07.380446Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2206.00790/citation-record","integrity":"/paper/2206.00790/integrity","json":"/paper/2206.00790/citation-record.json","paper":"/paper/2206.00790"},"outbound":[],"paper":{"arxiv_id":"2206.00790","last_updated":"2025-03-22T21:25:12Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T16:55:52.798544Z","submitted_at":"2022-06-01T22:46:34Z","title":"Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.00790."}