{"as_of":"2026-08-08T16:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cff205f24858cf901f6090d1bc6392b66d559fcf2da12c5c7b4bba9881544812","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T11:15:20.916658Z","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":"2026-05-23T16:48:12.497770Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.09371","last_updated":"2024-11-01T00:22:26Z","snapshot_observed_at":"2026-08-04T09:37:10.606661Z","submitted_at":"2024-06-13T17:51:00Z","title":"LRM-Zero: Training Large Reconstruction Models with Synthesized Data","version":2},"cited_work":{"arxiv_id":"2406.09371","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.09371","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Lrm- zero: Training large reconstruction models with synthesized data","venue":null,"work_id":"431416b5-78ac-4d94-903c-53b5ada45d61","year":2024},"citing_paper":{"arxiv_id":"2411.13549","last_updated":"2026-05-06T19:17:31Z","snapshot_observed_at":"2026-08-06T10:11:40.211121Z","submitted_at":"2024-11-20T18:58:31Z","title":"KFC-W: Generating 3D-Consistent Videos from Unposed Internet Photos","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-05-23T16:47:09.717923Z"},"links":{"cited_paper":"/paper/2406.09371","citing_paper":"/paper/2411.13549"},"observation_digest":"sha256:c9040447fe97ceea8ab4c137eeca93fab7ae4ac8f045bd979c93b40f24460d9c","observation_id":"d792414b-1993-4cb3-a1bd-d634046a93bd","resolution":{"observed_at":"2026-05-23T16:48:12.500772Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09371","last_updated":"2024-11-01T00:22:26Z","snapshot_observed_at":"2026-08-04T09:37:10.606661Z","submitted_at":"2024-06-13T17:51:00Z","title":"LRM-Zero: Training Large Reconstruction Models with Synthesized Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.09371","snapshot_observed_at":"2026-08-07T11:15:20.916658Z","title":"In2011 International Conference on Computer Vision","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03118","last_updated":"2025-06-03T17:50:05Z","snapshot_observed_at":"2026-08-07T11:05:58.581226Z","submitted_at":"2025-06-03T17:50:05Z","title":"HumanRAM: Feed-forward Human Reconstruction and Animation Model using Transformers","version":1},"reference_index":2011,"source":"pdf_text","source_observed_at":"2026-08-07T11:15:20.916658Z"},"links":{"cited_paper":"/paper/2406.09371","citing_paper":"/paper/2506.03118"},"observation_digest":"sha256:009a99ec0b6bd215c0a26c21c1111af9827ef4feae9524a5df08417516fee72a","observation_id":"e35c8ea1-090d-4d83-8e94-a0e404455234","resolution":{"observed_at":"2026-08-07T11:15:20.916658Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09371","last_updated":"2024-11-01T00:22:26Z","snapshot_observed_at":"2026-08-04T09:37:10.606661Z","submitted_at":"2024-06-13T17:51:00Z","title":"LRM-Zero: Training Large Reconstruction Models with Synthesized Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.09371","snapshot_observed_at":"2026-08-07T04:42:16.003964Z","title":"Lrm-zero: Training large reconstruction models with synthesized data.arXiv preprint arXiv:2406.09371, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.09997","last_updated":"2025-06-11T17:59:58Z","snapshot_observed_at":"2026-08-07T04:33:15.759296Z","submitted_at":"2025-06-11T17:59:58Z","title":"DGS-LRM: Real-Time Deformable 3D Gaussian Reconstruction From Monocular Videos","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:16.003964Z"},"links":{"cited_paper":"/paper/2406.09371","citing_paper":"/paper/2506.09997"},"observation_digest":"sha256:e40148c3a8f423f9b436d7bf766f3a8e69e53dc4b2c6551971c8907cc7005b8a","observation_id":"ecda378e-9e80-452d-af78-6e2fc70d2a08","resolution":{"observed_at":"2026-08-07T04:42:16.003964Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.09371/citation-record","integrity":"/paper/2406.09371/integrity","json":"/paper/2406.09371/citation-record.json","paper":"/paper/2406.09371"},"outbound":[],"paper":{"arxiv_id":"2406.09371","last_updated":"2024-11-01T00:22:26Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-04T09:37:10.606661Z","submitted_at":"2024-06-13T17:51:00Z","title":"LRM-Zero: Training Large Reconstruction Models with Synthesized Data"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.09371."}