Paper Citation Record · LEDGER

Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.09269.

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

pith.paper-citation-record.v1
2409.09269 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:38:24.510393Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T06:00:51.350724Z

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 e1cdf967-880c-4933-8791-c87a16da6ac7 · inbound

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models cites this paper.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T14:38:24.510393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 972b39de-f9f1-4869-8d3f-f0302f40b985 · inbound

mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation cites this paper.

mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T12:42:26.230104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78516360-e734-4766-aeda-f61552fbad6b · inbound

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings cites this paper.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-05T06:00:51.355154Z

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 4e9bc20e-cc8d-4894-ad95-160116fb95a6 · inbound

Separating Clicks from Baits: Using Large Language Models to Detect Misleading YouTube Thumbnails cites this paper.

Separating Clicks from Baits: Using Large Language Models to Detect Misleading YouTube Thumbnails Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-30T14:24:34.414745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.