{"as_of":"2026-08-09T08:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:02e7d463187e89f98443189764db67f0b20dec4cd03e4f93cd44b2ad208f6987","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:46:17.813022Z","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":"2026-07-04T03:09:30.384448Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2110.13083","last_updated":"2021-10-25T16:23:25Z","snapshot_observed_at":"2026-08-08T23:14:13.700995Z","submitted_at":"2021-10-25T16:23:25Z","title":"MVT: Multi-view Vision Transformer for 3D Object Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.13083","snapshot_observed_at":"2026-08-07T13:46:17.813022Z","title":"Mvt: Multi-view vision transformer for 3d object recognition","venue":null,"work_id":null,"year":2021},"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":81,"source":"pdf_text","source_observed_at":"2026-08-07T13:46:17.813022Z"},"links":{"cited_paper":"/paper/2110.13083","citing_paper":"/paper/2505.21079"},"observation_digest":"sha256:451d13c83d8ae4fd55271a14967b85ffde338ca3ab9d653e04efc5f91906c436","observation_id":"8cdb7196-3760-4303-a22a-0f95b1a3480d","resolution":{"observed_at":"2026-08-07T13:46:17.813022Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.13083","last_updated":"2021-10-25T16:23:25Z","snapshot_observed_at":"2026-08-08T23:14:13.700995Z","submitted_at":"2021-10-25T16:23:25Z","title":"MVT: Multi-view Vision Transformer for 3D Object Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.13083","snapshot_observed_at":"2026-08-06T13:48:01.770602Z","title":"Mvt: Multi-view vision transformer for 3d object recognition","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.20110","last_updated":"2025-07-27T03:11:08Z","snapshot_observed_at":"2026-08-08T23:14:23.198627Z","submitted_at":"2025-07-27T03:11:08Z","title":"NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T13:48:01.770602Z"},"links":{"cited_paper":"/paper/2110.13083","citing_paper":"/paper/2507.20110"},"observation_digest":"sha256:b41ae9db93a7e4632252e56ede2378f816e6255a94de953cf4e86bf276161bb2","observation_id":"a794db84-808c-4359-958e-c65bedd801ef","resolution":{"observed_at":"2026-08-06T13:48:01.770602Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.13083","last_updated":"2021-10-25T16:23:25Z","snapshot_observed_at":"2026-08-08T23:14:13.700995Z","submitted_at":"2021-10-25T16:23:25Z","title":"MVT: Multi-view Vision Transformer for 3D Object Recognition","version":1},"cited_work":{"arxiv_id":"2110.13083","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2110.13083","snapshot_observed_at":"2026-07-04T03:09:30.384448Z","title":"arXiv preprint arXiv:2110.13083 (2021)","venue":null,"work_id":"005a0211-d645-43ad-a1c5-a90c6e4faad5","year":2021},"citing_paper":{"arxiv_id":"2606.19838","last_updated":"2026-06-18T06:32:52Z","snapshot_observed_at":"2026-08-08T08:30:58.308832Z","submitted_at":"2026-06-18T06:32:52Z","title":"OTCHA: Optimal Transport-driven Confidence-aware Latent Hub Alignment for Multi-View Medical Image Classification","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-26T18:20:18.894747Z"},"links":{"cited_paper":"/paper/2110.13083","citing_paper":"/paper/2606.19838"},"observation_digest":"sha256:21abd686b8490d82be2221b3c91139b6f34b3f08fcddbf60471de172980ef1a7","observation_id":"05ce6c6b-490a-4f1f-a801-50077ba53255","resolution":{"observed_at":"2026-07-04T03:09:30.386248Z","resolver_source":"arxiv_id","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/2110.13083/citation-record","integrity":"/paper/2110.13083/integrity","json":"/paper/2110.13083/citation-record.json","paper":"/paper/2110.13083"},"outbound":[],"paper":{"arxiv_id":"2110.13083","last_updated":"2021-10-25T16:23:25Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T23:14:13.700995Z","submitted_at":"2021-10-25T16:23:25Z","title":"MVT: Multi-view Vision Transformer for 3D Object Recognition"},"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 3 inbound Pith citation observations for arXiv:2110.13083."}