{"as_of":"2026-08-19T04:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d2fc6157990b9fb33944cc6455b5f1a4496da9dd9c6d8b38b0b061038e812c8a","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":"2026-08-18T06:34:40.430872+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":"2026-08-10T23:40:08.129640Z","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":"2026-08-07T10:18:42.427220Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2207.08794","last_updated":"2024-08-21T01:45:17Z","snapshot_observed_at":"2026-08-18T05:42:10.568878Z","submitted_at":"2022-07-18T17:47:39Z","title":"D$^3$FlowSLAM: Self-Supervised Dynamic SLAM with Flow Motion Decomposition and DINO Guidance","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.08794","snapshot_observed_at":"2026-08-10T23:40:08.129640Z","title":"De- flowslam: Self-supervised scene motion decomposition for dynamic dense slam","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.20082","last_updated":"2025-04-07T15:51:31Z","snapshot_observed_at":"2026-08-15T14:33:03.911264Z","submitted_at":"2024-12-28T08:42:48Z","title":"MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-10T23:40:08.129640Z"},"links":{"cited_paper":"/paper/2207.08794","citing_paper":"/paper/2412.20082"},"observation_digest":"sha256:b2cc0f88cf621f24229c0b5d799c0e04dc9d5592200ad43ba5e94fb77a33b5c9","observation_id":"b92d601f-505d-4be6-92cb-d50c65763759","resolution":{"observed_at":"2026-08-10T23:40:08.129640Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.08794","last_updated":"2024-08-21T01:45:17Z","snapshot_observed_at":"2026-08-18T05:42:10.568878Z","submitted_at":"2022-07-18T17:47:39Z","title":"D$^3$FlowSLAM: Self-Supervised Dynamic SLAM with Flow Motion Decomposition and DINO Guidance","version":4},"cited_work":{"arxiv_id":"2207.08794","doi":null,"metadata_source":"pith","pith_arxiv_id":"2207.08794","snapshot_observed_at":"2026-08-07T10:18:42.427220Z","title":"D$^3$FlowSLAM: Self-Supervised Dynamic SLAM with Flow Motion Decomposition and DINO Guidance","venue":"cs.CV","work_id":"b7d2592b-9e4b-4b6a-a336-4f9a7ecd823d","year":2022},"citing_paper":{"arxiv_id":"2506.05965","last_updated":"2025-06-06T10:43:41Z","snapshot_observed_at":"2026-08-18T03:03:51.846972Z","submitted_at":"2025-06-06T10:43:41Z","title":"Dy3DGS-SLAM: Monocular 3D Gaussian Splatting SLAM for Dynamic Environments","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T10:18:40.575898Z"},"links":{"cited_paper":"/paper/2207.08794","citing_paper":"/paper/2506.05965"},"observation_digest":"sha256:17791d597a85ed95d93ebbd86703e33f86d4e2e91cf070d010987f99353a83e8","observation_id":"0815f039-6ccd-48ab-b76d-17e18e42d7ad","resolution":{"observed_at":"2026-08-07T10:18:42.508419Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2207.08794/citation-record","integrity":"/paper/2207.08794/integrity","json":"/paper/2207.08794/citation-record.json","paper":"/paper/2207.08794"},"outbound":[],"paper":{"arxiv_id":"2207.08794","last_updated":"2024-08-21T01:45:17Z","latest_version":4,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-18T05:42:10.568878Z","submitted_at":"2022-07-18T17:47:39Z","title":"D$^3$FlowSLAM: Self-Supervised Dynamic SLAM with Flow Motion Decomposition and DINO Guidance"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2207.08794."}