{"as_of":"2026-08-07T23:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:810caa34c9226ed2f68ee25e1df7e9582609f2a319e9d665708727f91aa84221","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":"2026-08-06T19:54:46.793669Z","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":"2026-07-04T15:19:56.370621Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.01295","last_updated":"2024-10-02T07:42:20Z","snapshot_observed_at":"2026-07-06T19:25:42.156795Z","submitted_at":"2024-10-02T07:42:20Z","title":"LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.01295","snapshot_observed_at":"2026-08-06T19:54:46.793669Z","title":"Lagem: A large geometry model for 3d representation learning and diffusion","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.04403","last_updated":"2025-07-06T14:30:08Z","snapshot_observed_at":"2026-08-06T19:46:00.574417Z","submitted_at":"2025-07-06T14:30:08Z","title":"Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T19:54:46.793669Z"},"links":{"cited_paper":"/paper/2410.01295","citing_paper":"/paper/2507.04403"},"observation_digest":"sha256:3c143d090a430bd5cc33dd76f3312bca2134fcdf9bebe4d0986460086b7924c4","observation_id":"9a71fe81-8372-4608-ab81-be14962b0d30","resolution":{"observed_at":"2026-08-06T19:54:46.793669Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.01295","last_updated":"2024-10-02T07:42:20Z","snapshot_observed_at":"2026-07-06T19:25:42.156795Z","submitted_at":"2024-10-02T07:42:20Z","title":"LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion","version":1},"cited_work":{"arxiv_id":"2410.01295","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.01295","snapshot_observed_at":"2026-07-04T15:19:56.370621Z","title":"Lagem: A large geometry model for 3d rep- resentation learning and diffusion,","venue":null,"work_id":"bd8d8866-9b04-44e0-b8e4-ce8226e91206","year":2024},"citing_paper":{"arxiv_id":"2606.24138","last_updated":"2026-06-23T04:46:04Z","snapshot_observed_at":"2026-08-01T14:22:41.078678Z","submitted_at":"2026-06-23T04:46:04Z","title":"Sat2City v2: Native 3D City Asset Generation from a Single Satellite Image","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-06-26T01:44:30.505560Z"},"links":{"cited_paper":"/paper/2410.01295","citing_paper":"/paper/2606.24138"},"observation_digest":"sha256:00fa17429dcea0cecb42b668fc7299f44fe05ac63b2236e9eec741a6bec6a45a","observation_id":"c7adc6cd-a540-43cd-8b88-01f836db7f29","resolution":{"observed_at":"2026-07-04T15:19:56.372152Z","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/2410.01295/citation-record","integrity":"/paper/2410.01295/integrity","json":"/paper/2410.01295/citation-record.json","paper":"/paper/2410.01295"},"outbound":[],"paper":{"arxiv_id":"2410.01295","last_updated":"2024-10-02T07:42:20Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T19:25:42.156795Z","submitted_at":"2024-10-02T07:42:20Z","title":"LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion"},"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:2410.01295."}