{"as_of":"2026-08-07T23:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a8103cc8e6a77e189492497f5296d4547b0776599cec6adde3b4e091fdce3da9","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":"2026-08-07T06:34:17.273281+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":"2026-08-07T15:26:47.808278Z","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":"2026-08-07T15:26:48.662843Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.15865","last_updated":"2024-01-29T03:35:55Z","snapshot_observed_at":"2026-07-06T17:21:38.223755Z","submitted_at":"2024-01-29T03:35:55Z","title":"LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection","version":1},"cited_work":{"arxiv_id":"2401.15865","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.15865","snapshot_observed_at":"2026-08-07T15:26:48.662843Z","title":"LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection","venue":"cs.CV","work_id":"9712f100-aa7a-4953-8ce1-d5bc9162f5a5","year":2024},"citing_paper":{"arxiv_id":"2505.15304","last_updated":"2025-05-30T10:57:06Z","snapshot_observed_at":"2026-08-07T15:18:12.226600Z","submitted_at":"2025-05-21T09:35:12Z","title":"Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T15:26:47.808278Z"},"links":{"cited_paper":"/paper/2401.15865","citing_paper":"/paper/2505.15304"},"observation_digest":"sha256:4d75cf6b313cd4a684d55a968880eba25b3a9aeb723e6dec1c04b250218294dc","observation_id":"dfc9ba2d-05d7-4bc6-a44c-2e4c72e2189d","resolution":{"observed_at":"2026-08-07T15:26:48.766498Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2401.15865/citation-record","integrity":"/paper/2401.15865/integrity","json":"/paper/2401.15865/citation-record.json","paper":"/paper/2401.15865"},"outbound":[],"paper":{"arxiv_id":"2401.15865","last_updated":"2024-01-29T03:35:55Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T17:21:38.223755Z","submitted_at":"2024-01-29T03:35:55Z","title":"LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2401.15865."}