{"as_of":"2026-08-15T00:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:eb4cb0603f2bdb13f9720e661c42e309a6e666f5f3619c8b455f52b6919efba0","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":"2026-08-14T06:32:32.682623+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":"2026-08-12T20:07:18.215161Z","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":"2026-08-12T20:07:18.551321Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.09236","last_updated":"2025-01-09T01:20:46Z","snapshot_observed_at":"2026-08-13T00:54:28.235525Z","submitted_at":"2024-03-14T09:59:55Z","title":"Hyper-3DG: Text-to-3D Gaussian Generation via Hypergraph","version":2},"cited_work":{"arxiv_id":"2403.09236","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.09236","snapshot_observed_at":"2026-08-12T20:07:18.551321Z","title":"Hyper-3DG: Text-to-3D Gaussian Generation via Hypergraph","venue":"cs.CV","work_id":"37b76f43-e2ec-49c2-b736-2e287956df4d","year":2024},"citing_paper":{"arxiv_id":"2411.10033","last_updated":"2024-11-15T08:25:14Z","snapshot_observed_at":"2026-08-14T16:54:49.775831Z","submitted_at":"2024-11-15T08:25:14Z","title":"GSEditPro: 3D Gaussian Splatting Editing with Attention-based Progressive Localization","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-12T20:07:18.215161Z"},"links":{"cited_paper":"/paper/2403.09236","citing_paper":"/paper/2411.10033"},"observation_digest":"sha256:29ca80431c7219c22a2766650f239550d189a92b65b00f44f19ad7f9a385acd4","observation_id":"32b2fb5f-a622-4b2c-bc7f-019ffc709c8c","resolution":{"observed_at":"2026-08-12T20:07:18.557881Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2403.09236/citation-record","integrity":"/paper/2403.09236/integrity","json":"/paper/2403.09236/citation-record.json","paper":"/paper/2403.09236"},"outbound":[],"paper":{"arxiv_id":"2403.09236","last_updated":"2025-01-09T01:20:46Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T00:54:28.235525Z","submitted_at":"2024-03-14T09:59:55Z","title":"Hyper-3DG: Text-to-3D Gaussian Generation via Hypergraph"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2403.09236."}