{"as_of":"2026-08-15T15:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a93c68ecd7d2678c68425398d56acb4f82c41f7247058fb1a3311da9e97be641","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":"2026-08-15T06:32:42.880941+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":"2026-08-11T20:04:05.351024Z","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":"2026-08-11T20:04:05.594385Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1910.01740","last_updated":"2019-10-02T17:31:09Z","snapshot_observed_at":"2026-08-07T03:33:28.003695Z","submitted_at":"2019-10-02T17:31:09Z","title":"AntMan: Sparse Low-Rank Compression to Accelerate RNN inference","version":1},"cited_work":{"arxiv_id":"1910.01740","doi":null,"metadata_source":"pith","pith_arxiv_id":"1910.01740","snapshot_observed_at":"2026-08-11T20:04:05.594385Z","title":"AntMan: Sparse Low-Rank Compression to Accelerate RNN inference","venue":"cs.LG","work_id":"a0613ef2-cdb5-443e-9672-2d457385d0f1","year":2019},"citing_paper":{"arxiv_id":"2412.06160","last_updated":"2024-12-09T02:50:20Z","snapshot_observed_at":"2026-08-12T10:45:45.111737Z","submitted_at":"2024-12-09T02:50:20Z","title":"Obstacle-aware Gaussian Process Regression","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T20:04:05.351024Z"},"links":{"cited_paper":"/paper/1910.01740","citing_paper":"/paper/2412.06160"},"observation_digest":"sha256:33f039628ccecb08c4ec345af603164372f973a1a2cfb434b873806a01f77767","observation_id":"bd7419ce-18f5-40d6-9148-5c16755a6891","resolution":{"observed_at":"2026-08-11T20:04:05.598044Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1910.01740/citation-record","integrity":"/paper/1910.01740/integrity","json":"/paper/1910.01740/citation-record.json","paper":"/paper/1910.01740"},"outbound":[],"paper":{"arxiv_id":"1910.01740","last_updated":"2019-10-02T17:31:09Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T03:33:28.003695Z","submitted_at":"2019-10-02T17:31:09Z","title":"AntMan: Sparse Low-Rank Compression to Accelerate RNN inference"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1910.01740."}