Paper Citation Record · LEDGER

Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.12742.

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

pith.paper-citation-record.v1
2406.12742 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:14:09.693716Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T00:02:50.478421Z

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 c6a0b118-e0be-4c3d-9bfa-3a2839f44dd0 · inbound

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models cites this paper.

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning

Reference 154

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:41:08.202763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c998bba7-4b75-4325-9045-4da573f3b1b5 · inbound

Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs cites this paper.

Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:09.693716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00d1e608-90c7-4f33-8808-8973a85ceb53 · inbound

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism cites this paper.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T05:09:23.728013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ba2266b-47ea-4432-87f9-5ebfd913950d · inbound

MiCo: Multi-image Contrast for Reinforcement Visual Reasoning cites this paper.

MiCo: Multi-image Contrast for Reinforcement Visual Reasoning Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:23.068331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0980ce6d-691a-4e29-ba97-c736a7cd9863 · inbound

FinChart-Bench: Benchmarking Financial Chart Comprehension in Vision-Language Models cites this paper.

FinChart-Bench: Benchmarking Financial Chart Comprehension in Vision-Language Models Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T15:52:14.967780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92f13c2a-8aa9-4fef-8940-59b03860dc44 · inbound

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency cites this paper.

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning

Reference 182

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:58:58.978903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aec1ebc3-760e-41fc-b7d4-a9a163d4f9d7 · inbound

Mimic Human Cognition, Master Multi-Image Reasoning: A Meta-Action Framework for Enhanced Visual Understanding cites this paper.

Mimic Human Cognition, Master Multi-Image Reasoning: A Meta-Action Framework for Enhanced Visual Understanding Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-03T11:13:16.978503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2425791-05f2-48b0-b1f6-befefdef3029 · inbound

OMIBench: Benchmarking Olympiad-Level Multi-Image Reasoning in Large Vision-Language Model cites this paper.

OMIBench: Benchmarking Olympiad-Level Multi-Image Reasoning in Large Vision-Language Model Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:46:03.146864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bd96174b-9006-4678-a4c6-49ff1f505736 · inbound

StemBind: When MLLMs Get Lost Between Rules and Instances in Abstract Visual Reasoning cites this paper.

StemBind: When MLLMs Get Lost Between Rules and Instances in Abstract Visual Reasoning Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:02:50.480515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.