{"as_of":"2026-08-07T12:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:533baf8e9ab0567f18cfdbb5df3cdfec633187b720cc0a2fefe33c296ae13e4e","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":"2026-08-07T06:34:17.273281+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":"2026-08-06T11:12:26.435326Z","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":"2026-06-29T08:43:15.623393Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.10094","last_updated":"2024-09-10T03:50:09Z","snapshot_observed_at":"2026-08-05T03:18:22.974009Z","submitted_at":"2024-03-15T08:19:57Z","title":"RangeLDM: Fast Realistic LiDAR Point Cloud Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.10094","snapshot_observed_at":"2026-08-06T11:12:26.435326Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.23058","last_updated":"2025-07-30T19:43:47Z","snapshot_observed_at":"2026-08-06T17:03:37.349064Z","submitted_at":"2025-07-30T19:43:47Z","title":"Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T11:12:26.435326Z"},"links":{"cited_paper":"/paper/2403.10094","citing_paper":"/paper/2507.23058"},"observation_digest":"sha256:9dbfb32e84726b356f1efd693e9d62787fdd1e4aa023dd28786c353a70b1d09b","observation_id":"440a0825-c64f-4605-8df5-841d2e6972e6","resolution":{"observed_at":"2026-08-06T11:12:26.435326Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.10094","last_updated":"2024-09-10T03:50:09Z","snapshot_observed_at":"2026-08-05T03:18:22.974009Z","submitted_at":"2024-03-15T08:19:57Z","title":"RangeLDM: Fast Realistic LiDAR Point Cloud Generation","version":2},"cited_work":{"arxiv_id":"2403.10094","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.10094","snapshot_observed_at":"2026-06-29T08:43:15.623393Z","title":"RangeLDM: Fast realistic LiDAR point cloud generation.arXiv preprint arXiv:2403.10094, 2024","venue":null,"work_id":"ec4f534b-2864-4db4-b910-47debdc4ad91","year":2024},"citing_paper":{"arxiv_id":"2606.00133","last_updated":"2026-05-28T21:23:24Z","snapshot_observed_at":"2026-07-06T23:40:51.363776Z","submitted_at":"2026-05-28T21:23:24Z","title":"World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-06-29T08:36:23.776293Z"},"links":{"cited_paper":"/paper/2403.10094","citing_paper":"/paper/2606.00133"},"observation_digest":"sha256:639bc42f900fd3be40da4bdeb5b9dfa299b1244a19738098fbac42af32560d0f","observation_id":"ba667b13-a11d-4aab-bb7a-564920ce8bd9","resolution":{"observed_at":"2026-06-29T08:43:15.624856Z","resolver_source":"arxiv_id","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/2403.10094/citation-record","integrity":"/paper/2403.10094/integrity","json":"/paper/2403.10094/citation-record.json","paper":"/paper/2403.10094"},"outbound":[],"paper":{"arxiv_id":"2403.10094","last_updated":"2024-09-10T03:50:09Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-05T03:18:22.974009Z","submitted_at":"2024-03-15T08:19:57Z","title":"RangeLDM: Fast Realistic LiDAR Point Cloud Generation"},"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 2 inbound Pith citation observations for arXiv:2403.10094."}