Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Strong but simple: A Baseline for Domain Generalized Dense Perception by CLIP-based Transfer Learning
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.02021.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T13:13:31.868879Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T00:33:40.123497Z
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 a10cc37f-2e11-413b-8574-082898b5cff6 · inbound
XAMI -- A Benchmark Dataset for Artefact Detection in XMM-Newton Optical Images cites this paper.
XAMI -- A Benchmark Dataset for Artefact Detection in XMM-Newton Optical Images Strong but simple: A Baseline for Domain Generalized Dense Perception by CLIP-based Transfer Learning
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T00:33:40.126331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7b9b4f08-ec17-4c97-9d26-1cee3453890a · 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 Strong but simple: A Baseline for Domain Generalized Dense Perception by CLIP-based Transfer Learning
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:13:31.868879Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6c242a9-b89f-47e6-935e-70825f3efa12 · inbound
Optimization of DNN-based HSI Segmentation FPGA-based SoC for ADS: A Practical Approach cites this paper.
Optimization of DNN-based HSI Segmentation FPGA-based SoC for ADS: A Practical Approach Strong but simple: A Baseline for Domain Generalized Dense Perception by CLIP-based Transfer Learning
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:13:14.183305Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.