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Paper Citation Record · LEDGER

Vision-Language Intelligence: Tasks, Representation Learning, and Large Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2203.01922.

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

pith.paper-citation-record.v1
2203.01922 v1

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 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:02:31.494664Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T12:20:11.111424Z

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 dc623ddd-1fbd-40cb-a4e3-c2dc715fbea8 · inbound

Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey cites this paper.

Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey Vision-Language Intelligence: Tasks, Representation Learning, and Large Models

Reference 234

Resolution
unresolved
no resolver link, observed 2026-08-12T12:02:31.494664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:02:31.494664Z digest=sha256:9fb7a6980f3bf8d4aa2bd3e77ebef252e4a9c370e191b23ddf24a8ebd9cfdfae

Observation 7393a93f-a51e-4836-83e6-b053aa727ecc · inbound

Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects cites this paper.

Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects Vision-Language Intelligence: Tasks, Representation Learning, and Large Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T23:10:02.425413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:10:02.425413Z digest=sha256:8e874085503ed0bb75dda73efd96cfdc11660799ff66dfd8e2c304cb8e29c8f6

Observation c6992ca2-9660-4710-a2dc-be3a8821393d · inbound

Vision-Language Models for Edge Networks: A Comprehensive Survey cites this paper.

Vision-Language Models for Edge Networks: A Comprehensive Survey Vision-Language Intelligence: Tasks, Representation Learning, and Large Models

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-08T12:20:11.116317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T12:20:08.188238Z digest=sha256:b97a70c45380f1510cfd9d04bb8e417cae877bd7e9845c4eaef486e9e1a9ddd9