Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.12176.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T13:13:31.643328Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T13:24:35.841434Z
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 f0ba5ef6-efa8-4258-b7ac-9b84a898459e · inbound
A Study on Unsupervised Domain Adaptation for Semantic Segmentation in the Era of Vision-Language Models cites this paper.
A Study on Unsupervised Domain Adaptation for Semantic Segmentation in the Era of Vision-Language Models All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:13:31.643328Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8efc153d-1463-428f-a7e8-2e4547b39c26 · inbound
SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning cites this paper.
SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:51:30.578063Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b0faf71-d18b-41fc-9a5a-66f9fd3bb50c · inbound
Research on Driving Scenario Technology Based on Multimodal Large Lauguage Model Optimization cites this paper.
Research on Driving Scenario Technology Based on Multimodal Large Lauguage Model Optimization All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:24:35.983381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.