{"as_of":"2026-08-17T14:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d26286ef90ac68acd8454c128e19900dc35119079000e9cad08ea85d2885e877","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":"2026-08-16T12:09:58.020933Z","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":"2026-08-16T12:09:58.118269Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.10588","last_updated":"2023-12-17T02:31:20Z","snapshot_observed_at":"2026-08-17T03:28:47.267347Z","submitted_at":"2023-12-17T02:31:20Z","title":"Post-Training Quantization for Re-parameterization via Coarse & Fine Weight Splitting","version":1},"cited_work":{"arxiv_id":"2312.10588","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.10588","snapshot_observed_at":"2026-08-16T12:09:58.118269Z","title":"Post-Training Quantization for Re-parameterization via Coarse & Fine Weight Splitting","venue":"cs.CV","work_id":"5c065c34-baa1-4829-a3fd-0473772740ae","year":2023},"citing_paper":{"arxiv_id":"2504.13989","last_updated":"2025-05-13T09:36:03Z","snapshot_observed_at":"2026-08-16T17:19:48.615751Z","submitted_at":"2025-04-18T13:46:58Z","title":"Gradual Binary Search and Dimension Expansion : A general method for activation quantization in LLMs","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-16T12:09:58.020933Z"},"links":{"cited_paper":"/paper/2312.10588","citing_paper":"/paper/2504.13989"},"observation_digest":"sha256:0ad2b235f65194c0498b634f777a2ff25a687a1a02e88bfc59175b45397685ab","observation_id":"e625a395-fe0c-46c1-9054-e4daead71b42","resolution":{"observed_at":"2026-08-16T12:09:58.124044Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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/2312.10588/citation-record","integrity":"/paper/2312.10588/integrity","json":"/paper/2312.10588/citation-record.json","paper":"/paper/2312.10588"},"outbound":[],"paper":{"arxiv_id":"2312.10588","last_updated":"2023-12-17T02:31:20Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T03:28:47.267347Z","submitted_at":"2023-12-17T02:31:20Z","title":"Post-Training Quantization for Re-parameterization via Coarse & Fine Weight Splitting"},"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:2312.10588."}