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Paper Citation Record · LEDGER

VLMbench: A Compositional Benchmark for Vision-and-Language Manipulation

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2206.08522.

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

pith.paper-citation-record.v1
2206.08522 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 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:10:35.790766Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-29T16:33:38.669600Z

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 0ba1f0c2-a0fb-44a4-a883-0d2e272ea746 · inbound

World Action Models: The Next Frontier in Embodied AI cites this paper.

World Action Models: The Next Frontier in Embodied AI VLMbench: A Compositional Benchmark for Vision-and-Language Manipulation

Reference 229

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:07:17.831978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-13T05:01:16.802019Z digest=sha256:67796abe5c8de1fcbdf96eabe3eb451d5a96b692a9b063e746a131fb7c0bb21b

Observation 9018405c-5ecd-4b40-a2ca-d5eb26d4301e · inbound

Colosseum V2: Benchmarking Generalization for Vision Language Action Models cites this paper.

Colosseum V2: Benchmarking Generalization for Vision Language Action Models VLMbench: A Compositional Benchmark for Vision-and-Language Manipulation

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-29T16:33:38.671017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T16:32:32.885345Z digest=sha256:5eb9cd0a13d40ec6c1b8b05a73e3859445b847610f3eb324164d1a492f619dc5

Observation 82092713-d2e1-4580-bda7-49222faf5f6d · inbound

Grounded Semantic Re-Binding for Robust Instruction Generalization in Vision-Language-Action Models cites this paper.

Grounded Semantic Re-Binding for Robust Instruction Generalization in Vision-Language-Action Models VLMbench: A Compositional Benchmark for Vision-and-Language Manipulation

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-04T06:10:35.790766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:10:35.790766Z digest=sha256:b7e5abe575549bf49efc591b42cb162442ac5679618e8d15234d1c47e7104333