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Paper Citation Record · LEDGER

CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2206.09059.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2206.09059 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:15:25.498363Z

measured 0 of 1 external citation measurements

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.

source=pdf_text observed=2026-08-11T17:15:25.498363Z digest=sha256:278fff9d7bf5b47866ea50d8af44c716d2d8df949df3ed46b8f24e90d865292a

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.

source=pdf_text observed=2026-05-09T23:02:19.128635Z digest=sha256:4d5e6c0c8f0cca7f0897c241e5ecc43b02b79ea21268a25cdcb30be6de8fa491

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.

source=pdf_text observed=2026-07-12T18:36:06.754809Z digest=sha256:c176cb9513123a758086fe9a625f78b3285ed61c8590bcb31323c507265d9dfb