{"as_of":"2026-08-17T08:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:be89fbb0fb712bee391e7321b28fc276c16a327919e52856b6817dbaf6db62ca","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":"2026-08-17T06:30:58.91139+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":"2026-08-14T13:47:06.030344Z","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":"2026-08-14T13:47:06.072411Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1602.03436","last_updated":"2016-08-29T12:52:57Z","snapshot_observed_at":"2026-08-14T22:10:52.641922Z","submitted_at":"2016-02-10T16:35:36Z","title":"High-Dimensional Estimation of Structured Signals from Non-Linear Observations with General Convex Loss Functions","version":3},"cited_work":{"arxiv_id":"1602.03436","doi":null,"metadata_source":"pith","pith_arxiv_id":"1602.03436","snapshot_observed_at":"2026-08-14T13:47:06.072411Z","title":"High-Dimensional Estimation of Structured Signals from Non-Linear Observations with General Convex Loss Functions","venue":"math.ST","work_id":"25e70a05-3e87-4818-a7d3-9ecdd45d5b8c","year":2016},"citing_paper":{"arxiv_id":"1908.04433","last_updated":"2020-01-23T19:54:10Z","snapshot_observed_at":"2026-08-16T05:43:00.616060Z","submitted_at":"2019-08-12T22:51:06Z","title":"Sharp Guarantees for Solving Random Equations with One-Bit Information","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T13:47:06.030344Z"},"links":{"cited_paper":"/paper/1602.03436","citing_paper":"/paper/1908.04433"},"observation_digest":"sha256:a002d4330ec1fbfd27cae818adbad25cef383646c38fd9ec8d259fedb36808bd","observation_id":"bb67a154-9309-4356-b14d-16e2127b32d6","resolution":{"observed_at":"2026-08-14T13:47:06.078543Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/1602.03436/citation-record","integrity":"/paper/1602.03436/integrity","json":"/paper/1602.03436/citation-record.json","paper":"/paper/1602.03436"},"outbound":[],"paper":{"arxiv_id":"1602.03436","last_updated":"2016-08-29T12:52:57Z","latest_version":3,"primary_category":"math.ST","snapshot_observed_at":"2026-08-14T22:10:52.641922Z","submitted_at":"2016-02-10T16:35:36Z","title":"High-Dimensional Estimation of Structured Signals from Non-Linear Observations with General Convex Loss Functions"},"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 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1602.03436."}