Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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 8 inbound Pith citation observations for arXiv:2406.12742.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:09:23.728013Z
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 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.