{"as_of":"2026-08-10T06:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fa17a33257a937f47953c138ce1e58c7020f374080c2b78b971e9e40a2b5eaac","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":"2026-08-05T10:19:04.114878Z","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":"2026-08-05T10:19:04.629069Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2308.05600","last_updated":"2023-08-10T14:19:58Z","snapshot_observed_at":"2026-08-08T06:57:12.243169Z","submitted_at":"2023-08-10T14:19:58Z","title":"NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search","version":1},"cited_work":{"arxiv_id":"2308.05600","doi":null,"metadata_source":"pith","pith_arxiv_id":"2308.05600","snapshot_observed_at":"2026-08-05T10:19:04.629069Z","title":"NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search","venue":"cs.LG","work_id":"77c20828-3762-4189-9e22-29cc86f52161","year":2023},"citing_paper":{"arxiv_id":"2509.04244","last_updated":"2025-09-04T14:17:28Z","snapshot_observed_at":"2026-08-08T06:56:42.063948Z","submitted_at":"2025-09-04T14:17:28Z","title":"Integrating Pruning with Quantization for Efficient Deep Neural Networks Compression","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T10:19:04.114878Z"},"links":{"cited_paper":"/paper/2308.05600","citing_paper":"/paper/2509.04244"},"observation_digest":"sha256:9e554f20c43c979efbf328017d7132497e9daa3fe715b5a7982d233320f84640","observation_id":"bcf8e7db-ca96-4ccc-8834-c8f1b3a8d333","resolution":{"observed_at":"2026-08-05T10:19:04.634009Z","resolver_source":"local_arxiv","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/2308.05600/citation-record","integrity":"/paper/2308.05600/integrity","json":"/paper/2308.05600/citation-record.json","paper":"/paper/2308.05600"},"outbound":[],"paper":{"arxiv_id":"2308.05600","last_updated":"2023-08-10T14:19:58Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T06:57:12.243169Z","submitted_at":"2023-08-10T14:19:58Z","title":"NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search"},"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:2308.05600."}