{"as_of":"2026-08-08T20:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9d4ff01bad48e0903a27fb12b033f1497045725bc8fff150ac4f26add9eb177a","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T16:42:31.832082Z","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":"2026-05-20T03:33:01.688420Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.11227","last_updated":"2024-10-15T03:20:19Z","snapshot_observed_at":"2026-07-06T19:33:34.819837Z","submitted_at":"2024-10-15T03:20:19Z","title":"Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.11227","snapshot_observed_at":"2026-08-06T16:42:31.832082Z","title":"Guarantees for nonlinear representation learning: non-identical covariates, dependent data, fewer samples,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.12855","last_updated":"2025-07-17T07:26:22Z","snapshot_observed_at":"2026-08-07T15:04:47.728946Z","submitted_at":"2025-07-17T07:26:22Z","title":"DEMONSTRATE: Zero-shot Language to Robotic Control via Multi-task Demonstration Learning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T16:42:31.832082Z"},"links":{"cited_paper":"/paper/2410.11227","citing_paper":"/paper/2507.12855"},"observation_digest":"sha256:cf0cc6b44297bc9493c478c293d7ccd6172e12841e20ed555590fb3b44e680fa","observation_id":"29dec18a-f414-4fa8-b74b-a6020a1ffbd1","resolution":{"observed_at":"2026-08-06T16:42:31.832082Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.11227","last_updated":"2024-10-15T03:20:19Z","snapshot_observed_at":"2026-07-06T19:33:34.819837Z","submitted_at":"2024-10-15T03:20:19Z","title":"Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.11227","snapshot_observed_at":"2026-08-04T23:35:56.257238Z","title":"Guar- antees for nonlinear representation learning: non-identical covariates, dependent data, fewer samples,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.06534","last_updated":"2025-09-08T10:39:38Z","snapshot_observed_at":"2026-08-04T23:35:53.928357Z","submitted_at":"2025-09-08T10:39:38Z","title":"Parameter Robustness in Data-Driven Estimation of Dynamical Systems","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T23:35:56.257238Z"},"links":{"cited_paper":"/paper/2410.11227","citing_paper":"/paper/2509.06534"},"observation_digest":"sha256:06438e6f67caf2c7e7117a55bb3201a4fa8b2d45bcc638371ff214e5e28c9431","observation_id":"88163f0d-79a7-44d2-94aa-e5c277cb9f78","resolution":{"observed_at":"2026-08-04T23:35:56.257238Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.11227","last_updated":"2024-10-15T03:20:19Z","snapshot_observed_at":"2026-07-06T19:33:34.819837Z","submitted_at":"2024-10-15T03:20:19Z","title":"Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples","version":1},"cited_work":{"arxiv_id":"2410.11227","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.11227","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2410.11227 , year=","venue":null,"work_id":"3738dd87-8c48-4e3f-b84d-8991c42e3713","year":null},"citing_paper":{"arxiv_id":"2605.19291","last_updated":"2026-05-19T03:10:33Z","snapshot_observed_at":"2026-07-06T23:30:02.207108Z","submitted_at":"2026-05-19T03:10:33Z","title":"Factor Augmented High-Dimensional SGD","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-05-20T03:31:04.529612Z"},"links":{"cited_paper":"/paper/2410.11227","citing_paper":"/paper/2605.19291"},"observation_digest":"sha256:34d148ac65419c8a15439ec07b8667f1a514b5b3db75d05181896bf703695ddb","observation_id":"9634655e-c593-4068-84b9-8eff1d11416e","resolution":{"observed_at":"2026-05-20T03:33:01.692280Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.11227/citation-record","integrity":"/paper/2410.11227/integrity","json":"/paper/2410.11227/citation-record.json","paper":"/paper/2410.11227"},"outbound":[],"paper":{"arxiv_id":"2410.11227","last_updated":"2024-10-15T03:20:19Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-07-06T19:33:34.819837Z","submitted_at":"2024-10-15T03:20:19Z","title":"Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.11227."}