Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.11069.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T12:27:27.424386Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T22:36:16.753738Z
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 f535af8a-a6cb-43cc-927f-a89c9d3e7798 · inbound
MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? cites this paper.
MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T07:59:32.834674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7624be59-6f43-4a48-b087-3d8d57ad9fc4 · inbound
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling cites this paper.
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences
Reference 171
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:23:57.801367Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d17ec5f6-459a-455b-b4b0-3829971dd4ef · inbound
Unified Reward Model for Multimodal Understanding and Generation cites this paper.
Unified Reward Model for Multimodal Understanding and Generation WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T00:44:30.617150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2b254b4a-fbad-4a33-8c1f-dc89cd8c24f3 · 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 WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences
Reference 86
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:41:08.056502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 81477c90-a19e-45d7-9e93-13cbe146a047 · 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 WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences
Reference 78
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T11:58:59.198792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 13178546-7ca2-40d5-bc30-fc30b9c5f40e · inbound
Improving Large Vision and Language Models by Learning from a Panel of Peers cites this paper.
Improving Large Vision and Language Models by Learning from a Panel of Peers WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:27:27.424386Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 22678309-66f4-49ea-b1f6-3cb9ed156487 · inbound
Understanding Space Is Rocket Science -- Only Top Reasoning Models Can Solve Spatial Understanding Tasks cites this paper.
Understanding Space Is Rocket Science -- Only Top Reasoning Models Can Solve Spatial Understanding Tasks WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:56:10.304534Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0a16358-ba02-47c4-8dd6-b1a4b9d12506 · inbound
Assessing Privacy Preservation and Utility in Online Vision-Language Models cites this paper.
Assessing Privacy Preservation and Utility in Online Vision-Language Models WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:30:50.217647Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f621129b-a43f-41fe-8df7-91606e63403c · inbound
When Meaning Travels: A Granular Lens on Hybrid-MoE's Role in Idiomatic Understanding for Language Models cites this paper.
When Meaning Travels: A Granular Lens on Hybrid-MoE's Role in Idiomatic Understanding for Language Models WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences
Reference 71
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T22:36:16.756023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.