{"as_of":"2026-08-08T23:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:49fb4b8a1dd6f354d6e039247627908736c9044d923b49ae1236bbd38c50d3fd","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T10:50:16.910067Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T13:58:22.017324Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2212.07048","last_updated":"2023-03-27T05:47:22Z","snapshot_observed_at":"2026-07-06T14:30:20.088413Z","submitted_at":"2022-12-14T05:48:58Z","title":"PD-Quant: Post-Training Quantization based on Prediction Difference Metric","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.07048","snapshot_observed_at":"2026-08-05T10:50:16.910067Z","title":"Pd-quant: Post-training quantization based on prediction difference metric","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.03704","last_updated":"2026-06-25T20:51:47Z","snapshot_observed_at":"2026-08-05T10:50:15.494219Z","submitted_at":"2025-09-03T20:39:03Z","title":"QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-05T10:50:16.910067Z"},"links":{"cited_paper":"/paper/2212.07048","citing_paper":"/paper/2509.03704"},"observation_digest":"sha256:56c940323824bde198afbbfe45001e7539c473f2b4640d98f9ca8a9b7f3dfc21","observation_id":"9eba7bf7-e4df-4a1c-af69-39801f00c2ff","resolution":{"observed_at":"2026-08-05T10:50:16.910067Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.07048","last_updated":"2023-03-27T05:47:22Z","snapshot_observed_at":"2026-07-06T14:30:20.088413Z","submitted_at":"2022-12-14T05:48:58Z","title":"PD-Quant: Post-Training Quantization based on Prediction Difference Metric","version":3},"cited_work":{"arxiv_id":"2212.07048","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2212.07048","snapshot_observed_at":"2026-07-03T13:58:22.017324Z","title":"arXiv preprint arXiv:2212.07048 , year =","venue":null,"work_id":"80db4aab-5c6e-456d-8c83-f79e576df3a1","year":null},"citing_paper":{"arxiv_id":"2606.13300","last_updated":"2026-06-11T12:53:03Z","snapshot_observed_at":"2026-07-06T23:52:04.574604Z","submitted_at":"2026-06-11T12:53:03Z","title":"Quantizing Time-Series Models As Dynamical Systems: Trajectory-Based Quantization Sensitivity Score","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-06-27T07:21:21.103554Z"},"links":{"cited_paper":"/paper/2212.07048","citing_paper":"/paper/2606.13300"},"observation_digest":"sha256:66622758442b0aafe41fdc1193e6ea59ce554e7772aed6bb6931e4c7285138f5","observation_id":"b7a47c14-8ed3-4c4f-bfd2-541e268aafbd","resolution":{"observed_at":"2026-07-03T13:58:22.018694Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2212.07048/citation-record","integrity":"/paper/2212.07048/integrity","json":"/paper/2212.07048/citation-record.json","paper":"/paper/2212.07048"},"outbound":[],"paper":{"arxiv_id":"2212.07048","last_updated":"2023-03-27T05:47:22Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T14:30:20.088413Z","submitted_at":"2022-12-14T05:48:58Z","title":"PD-Quant: Post-Training Quantization based on Prediction Difference Metric"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.07048."}