{"as_of":"2026-08-08T03:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b6504b59df6ba78abf88a88213fe6148dae82ecd7d46afbb42177fde99caa537","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":"2026-08-02T02:49:54.935447Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.19458","last_updated":"2025-02-19T05:16:27Z","snapshot_observed_at":"2026-08-04T07:54:56.431304Z","submitted_at":"2024-11-29T04:02:11Z","title":"Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.19458","snapshot_observed_at":"2026-07-14T01:15:46.555348Z","title":"Multiview equivariance improves 3d correspondence understanding with minimal feature finetuning.arXiv preprint arXiv:2411.19458, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.09985","last_updated":"2026-07-10T21:24:23Z","snapshot_observed_at":"2026-08-06T16:27:34.240150Z","submitted_at":"2026-07-10T21:24:23Z","title":"UniPose9D: Universal Category-Agnostic Object Pose Estimation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-14T01:15:46.555348Z"},"links":{"cited_paper":"/paper/2411.19458","citing_paper":"/paper/2607.09985"},"observation_digest":"sha256:25b0f536e110770e031cf9e823b522e236b8ef4aa3f160d9cf4fb326c9dcc5d8","observation_id":"6a796680-a3f6-4364-9574-c59500630a8f","resolution":{"observed_at":"2026-07-14T01:15:46.555348Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.19458","last_updated":"2025-02-19T05:16:27Z","snapshot_observed_at":"2026-08-04T07:54:56.431304Z","submitted_at":"2024-11-29T04:02:11Z","title":"Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.19458","snapshot_observed_at":"2026-08-02T02:49:54.935447Z","title":"Multiview equivariance improves 3D correspondence understanding with minimal feature finetuning.arXiv preprint arXiv:2411.19458, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.14228","last_updated":"2026-07-15T18:00:31Z","snapshot_observed_at":"2026-08-07T19:15:40.699682Z","submitted_at":"2026-07-15T18:00:31Z","title":"SeeSE3: Emergence of 3D Space in Vision Features","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T02:49:54.935447Z"},"links":{"cited_paper":"/paper/2411.19458","citing_paper":"/paper/2607.14228"},"observation_digest":"sha256:b3e7b843dded37d54a184229701a1a7e2cac7efdd238fbd82c27b332bec1e02a","observation_id":"527f767b-c365-4942-8bdf-2c944d854ef2","resolution":{"observed_at":"2026-08-02T02:49:54.935447Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2411.19458/citation-record","integrity":"/paper/2411.19458/integrity","json":"/paper/2411.19458/citation-record.json","paper":"/paper/2411.19458"},"outbound":[],"paper":{"arxiv_id":"2411.19458","last_updated":"2025-02-19T05:16:27Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-04T07:54:56.431304Z","submitted_at":"2024-11-29T04:02:11Z","title":"Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning"},"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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.19458."}