{"as_of":"2026-08-10T19:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1ef25f8786105a0d8119138a1e1eba4fde17757b99c42b32f6786b3793c7729d","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":"2026-08-10T06:31:04.303077+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":"2026-05-08T19:28:31.729070Z","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":"2026-05-09T05:50:28.145532Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2111.00035","last_updated":"2021-10-29T18:28:49Z","snapshot_observed_at":"2026-07-06T12:03:35.232581Z","submitted_at":"2021-10-29T18:28:49Z","title":"Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\\\"om Method","version":1},"cited_work":{"arxiv_id":"2111.00035","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.00035","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Advances in Neural Information Processing Systems (NeurIPS)","venue":null,"work_id":"aa5bc7fc-82dc-4b93-83b7-5a2a0c60b31e","year":2021},"citing_paper":{"arxiv_id":"2605.02144","last_updated":"2026-05-04T01:57:59Z","snapshot_observed_at":"2026-08-03T01:54:33.737851Z","submitted_at":"2026-05-04T01:57:59Z","title":"Projection-Free Transformers via Gaussian Kernel Attention","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-08T19:28:31.729070Z"},"links":{"cited_paper":"/paper/2111.00035","citing_paper":"/paper/2605.02144"},"observation_digest":"sha256:322d804c91c1dd97c161aa5eba426270abd77d80cf7f10b1f019624447e4e878","observation_id":"967001f2-54a8-450c-b09b-9eb97e93ccc9","resolution":{"observed_at":"2026-05-09T05:50:28.148302Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2111.00035/citation-record","integrity":"/paper/2111.00035/integrity","json":"/paper/2111.00035/citation-record.json","paper":"/paper/2111.00035"},"outbound":[],"paper":{"arxiv_id":"2111.00035","last_updated":"2021-10-29T18:28:49Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T12:03:35.232581Z","submitted_at":"2021-10-29T18:28:49Z","title":"Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\\\"om Method"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2111.00035."}