{"as_of":"2026-08-09T15:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2bd683700a0493d5c893d1e922a0edf9cafd9f7bf72becc81b172e572a1bac41","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":"2026-08-09T06:31:02.800959+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":"2026-08-03T12:03:26.677740Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2102.10707","last_updated":"2021-06-11T04:30:50Z","snapshot_observed_at":"2026-07-06T10:43:21.381832Z","submitted_at":"2021-02-21T23:06:35Z","title":"A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.10707","snapshot_observed_at":"2026-08-03T12:03:26.677740Z","title":"A zeroth-order block coordinate descent algorithm for huge-scale black-box optimization,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.04710","last_updated":"2026-06-10T03:47:11Z","snapshot_observed_at":"2026-08-06T20:05:24.472901Z","submitted_at":"2026-01-08T08:27:15Z","title":"Steering the Noise: Turning Random Perturbations into Effective Descent for Memory-Efficient LLM Fine-Tuning","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-03T12:03:26.677740Z"},"links":{"cited_paper":"/paper/2102.10707","citing_paper":"/paper/2601.04710"},"observation_digest":"sha256:e290e44e234469e1392d9ab888b5087a1eebd28f168206a5ca560fe8808f74cf","observation_id":"d7c96db9-373c-48bd-9421-26a9105925f9","resolution":{"observed_at":"2026-08-03T12:03:26.677740Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2102.10707/citation-record","integrity":"/paper/2102.10707/integrity","json":"/paper/2102.10707/citation-record.json","paper":"/paper/2102.10707"},"outbound":[],"paper":{"arxiv_id":"2102.10707","last_updated":"2021-06-11T04:30:50Z","latest_version":2,"primary_category":"math.OC","snapshot_observed_at":"2026-07-06T10:43:21.381832Z","submitted_at":"2021-02-21T23:06:35Z","title":"A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2102.10707."}