{"as_of":"2026-08-13T20:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:eb476c00c26a758d13246e37cfe399218fa5722722064775e6b09a89530bff69","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":"2026-08-13T06:32:02.005865+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":"2026-08-10T20:25:59.408454Z","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":"2026-08-09T21:47:21.122142Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.06121","last_updated":"2025-01-20T19:22:24Z","snapshot_observed_at":"2026-08-13T11:45:10.553108Z","submitted_at":"2023-05-10T13:11:23Z","title":"Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.06121","snapshot_observed_at":"2026-08-10T20:25:59.408454Z","title":"Transformer-based model for monocular visual odometry: a video understanding approach","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.408454Z"},"links":{"cited_paper":"/paper/2305.06121","citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:9421b7c80f49e5fb11d3745acbbba9e3152a724fbb5e4e0cd7619958ee5cad43","observation_id":"09074a3b-1d56-4f00-a91a-744b459dd873","resolution":{"observed_at":"2026-08-10T20:25:59.408454Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.06121","last_updated":"2025-01-20T19:22:24Z","snapshot_observed_at":"2026-08-13T11:45:10.553108Z","submitted_at":"2023-05-10T13:11:23Z","title":"Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach","version":3},"cited_work":{"arxiv_id":"2305.06121","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.06121","snapshot_observed_at":"2026-08-09T21:47:21.122142Z","title":"Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach","venue":"cs.CV","work_id":"c724261a-b682-475f-89eb-e534385bf602","year":2023},"citing_paper":{"arxiv_id":"2501.18994","last_updated":"2025-01-31T09:54:11Z","snapshot_observed_at":"2026-08-11T15:47:21.952850Z","submitted_at":"2025-01-31T09:54:11Z","title":"VKFPos: A Learning-Based Monocular Positioning with Variational Bayesian Extended Kalman Filter Integration","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-09T21:47:20.870991Z"},"links":{"cited_paper":"/paper/2305.06121","citing_paper":"/paper/2501.18994"},"observation_digest":"sha256:4c63fb236cb950a20eed0e3fedfadd99fee7aff124db071d06d6b925071a3897","observation_id":"fdcef215-efa7-4acd-b20e-5ca0c465305b","resolution":{"observed_at":"2026-08-09T21:47:21.130062Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2305.06121/citation-record","integrity":"/paper/2305.06121/integrity","json":"/paper/2305.06121/citation-record.json","paper":"/paper/2305.06121"},"outbound":[],"paper":{"arxiv_id":"2305.06121","last_updated":"2025-01-20T19:22:24Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T11:45:10.553108Z","submitted_at":"2023-05-10T13:11:23Z","title":"Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.06121."}