Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2206.09059.
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 2026-08-15T15:05:19.356578Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-09T23:04:17.764753Z
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 486f52ff-4091-41e2-878a-ec25699459c6 · inbound
VLMs meet UDA: Boosting Transferability of Open Vocabulary Segmentation with Unsupervised Domain Adaptation cites this paper.
VLMs meet UDA: Boosting Transferability of Open Vocabulary Segmentation with Unsupervised Domain Adaptation CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:15:25.498363Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3acf02f4-486d-44f6-a157-47a09e376fa0 · inbound
Fine-Tuning Regimes Define Distinct Continual Learning Problems cites this paper.
Fine-Tuning Regimes Define Distinct Continual Learning Problems CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T23:04:17.766423Z
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.
Observation e9689b9e-b230-42d9-9ec0-622dc3ec5a0d · inbound
Fine-Tuning Regimes Define Distinct Continual Learning Problems cites this paper.
Fine-Tuning Regimes Define Distinct Continual Learning Problems CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T18:36:06.754809Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 724ccdc1-0fc3-48d2-ade9-819970cae487 · inbound
In-Context Collapse in Vision-Language Models and How to Mitigate it? cites this paper.
In-Context Collapse in Vision-Language Models and How to Mitigate it? CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:05:19.356578Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.