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Paper Citation Record · LEDGER

From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.10846.

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

pith.paper-citation-record.v1
2212.10846 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:41:28.793117Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:09:28.802623Z

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 68cc467b-e866-4d1c-8d2b-81fbeda7d526 · inbound

A Technical Taxonomy of LLM Agent Communication Protocols cites this paper.

A Technical Taxonomy of LLM Agent Communication Protocols From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:09:28.804944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T18:34:15.845033Z digest=sha256:1bfba35fec3e19a629a83915d727920a494b627918db6b7b805007ceb4f2ba0e

Observation f836a328-4786-499a-91fb-54c05f36e751 · inbound

SlimVLM: Sensitivity-aware Dynamic Structured Pruning with Adaptive Visual Token Selection for Efficient Vision-Language Models cites this paper.

SlimVLM: Sensitivity-aware Dynamic Structured Pruning with Adaptive Visual Token Selection for Efficient Vision-Language Models From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T16:41:28.793117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:41:28.793117Z digest=sha256:52d6ab0add5f472aec4dbf89359cdc718efc0e4aad3968b963babb019153b5a4