Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An Improved RaftStereo Trained with A Mixed Dataset for the Robust Vision Challenge 2022
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2210.12785.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:06:06.732018Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T05:56:00.307960Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 2ec78b58-74f2-4f8c-897a-a51aedd42245 · inbound
DEFOM-Stereo: Depth Foundation Model Based Stereo Matching cites this paper.
DEFOM-Stereo: Depth Foundation Model Based Stereo Matching An Improved RaftStereo Trained with A Mixed Dataset for the Robust Vision Challenge 2022
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:06:06.732018Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a98d23b-ae7e-4a09-bab1-d48c8f88a3cc · inbound
PanMatch: Unleashing the Potential of Large Vision Models for Unified Matching Models cites this paper.
PanMatch: Unleashing the Potential of Large Vision Models for Unified Matching Models An Improved RaftStereo Trained with A Mixed Dataset for the Robust Vision Challenge 2022
Reference 111
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:28:07.527603Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1fc47741-68ac-452a-87dc-e5cf06f56b36 · inbound
Geometry Reinforced Efficient Attention Tuning Equipped with Normals for Robust Stereo Matching cites this paper.
Geometry Reinforced Efficient Attention Tuning Equipped with Normals for Robust Stereo Matching An Improved RaftStereo Trained with A Mixed Dataset for the Robust Vision Challenge 2022
Reference 83
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:56:00.311168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.