{"as_of":"2026-08-10T12:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0f763dee78fadd3022c0cb502ba2ac87ab86dc038d99290a31b00514328c5d7c","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":"2026-08-09T00:21:15.625269Z","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":"2026-08-09T00:21:17.067541Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2103.12978","last_updated":"2021-03-24T04:24:12Z","snapshot_observed_at":"2026-08-09T08:01:35.639316Z","submitted_at":"2021-03-24T04:24:12Z","title":"RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation","version":1},"cited_work":{"arxiv_id":"2103.12978","doi":null,"metadata_source":"pith","pith_arxiv_id":"2103.12978","snapshot_observed_at":"2026-08-09T00:21:17.067541Z","title":"RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation","venue":"cs.CV","work_id":"bdd40cfc-11ed-41e6-a318-bb83b1004628","year":2021},"citing_paper":{"arxiv_id":"2502.03901","last_updated":"2025-02-06T09:24:47Z","snapshot_observed_at":"2026-08-09T12:00:42.825498Z","submitted_at":"2025-02-06T09:24:47Z","title":"LeAP: Consistent multi-domain 3D labeling using Foundation Models","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-09T00:21:15.625269Z"},"links":{"cited_paper":"/paper/2103.12978","citing_paper":"/paper/2502.03901"},"observation_digest":"sha256:100d0d5f0c3a0b172f9e919b0f462bab88f69e7382b01d7f5427bdb6fa69b6c1","observation_id":"2494b17f-c9a0-4c3f-91cd-0176ac1bad41","resolution":{"observed_at":"2026-08-09T00:21:17.073146Z","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/2103.12978/citation-record","integrity":"/paper/2103.12978/integrity","json":"/paper/2103.12978/citation-record.json","paper":"/paper/2103.12978"},"outbound":[],"paper":{"arxiv_id":"2103.12978","last_updated":"2021-03-24T04:24:12Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T08:01:35.639316Z","submitted_at":"2021-03-24T04:24:12Z","title":"RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation"},"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:2103.12978."}