{"as_of":"2026-08-09T20:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a8b035af9fa80c5fa9a36385788abe3b631454d3cdea3eae7e66d72ee6a2d619","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T13:46:14.183457Z","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":"2026-08-07T13:46:19.283417Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.17827","last_updated":"2025-03-22T17:55:53Z","snapshot_observed_at":"2026-08-07T16:44:00.638110Z","submitted_at":"2025-03-22T17:55:53Z","title":"4D-Bench: Benchmarking Multi-modal Large Language Models for 4D Object Understanding","version":1},"cited_work":{"arxiv_id":"2503.17827","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.17827","snapshot_observed_at":"2026-08-07T13:46:19.283417Z","title":"4D-Bench: Benchmarking Multi-modal Large Language Models for 4D Object Understanding","venue":"cs.CV","work_id":"ea5c11dc-76d3-4bc4-bc77-abda5eca9a2a","year":2025},"citing_paper":{"arxiv_id":"2505.21079","last_updated":"2025-05-27T12:03:30Z","snapshot_observed_at":"2026-08-08T23:14:14.149778Z","submitted_at":"2025-05-27T12:03:30Z","title":"Uni3D-MoE: Scalable Multimodal 3D Scene Understanding via Mixture of Experts","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T13:46:14.183457Z"},"links":{"cited_paper":"/paper/2503.17827","citing_paper":"/paper/2505.21079"},"observation_digest":"sha256:b168405a8c50920461359ee49ea9b9288c621066848bfcfd0223f5449a472aa7","observation_id":"36cd438f-6601-4aec-b961-09c236eeb544","resolution":{"observed_at":"2026-08-07T13:46:19.380964Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2503.17827/citation-record","integrity":"/paper/2503.17827/integrity","json":"/paper/2503.17827/citation-record.json","paper":"/paper/2503.17827"},"outbound":[],"paper":{"arxiv_id":"2503.17827","last_updated":"2025-03-22T17:55:53Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T16:44:00.638110Z","submitted_at":"2025-03-22T17:55:53Z","title":"4D-Bench: Benchmarking Multi-modal Large Language Models for 4D Object Understanding"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2503.17827."}