Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploring How Generative MLLMs Perceive More Than CLIP with the Same Vision Encoder
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.05195.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T23:46:58.027310Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T17:51:54.951706Z
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 75572446-4988-44a1-9f10-22134a1a9aba · inbound
If Concept Bottlenecks are the Question, are Foundation Models the Answer? cites this paper.
If Concept Bottlenecks are the Question, are Foundation Models the Answer? Exploring How Generative MLLMs Perceive More Than CLIP with the Same Vision Encoder
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.955071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fcf9f43a-120e-47c2-a20b-0ef7af71e6f0 · inbound
Accelerating Conditional Prompt Learning via Masked Image Modeling for Vision-Language Models cites this paper.
Accelerating Conditional Prompt Learning via Masked Image Modeling for Vision-Language Models Exploring How Generative MLLMs Perceive More Than CLIP with the Same Vision Encoder
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:46:58.027310Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 980525a9-64b4-4034-bc9c-1b258ed6ce7a · inbound
RewardDance: Reward Scaling in Visual Generation cites this paper.
RewardDance: Reward Scaling in Visual Generation Exploring How Generative MLLMs Perceive More Than CLIP with the Same Vision Encoder
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T20:08:58.110097Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c07d3552-ce79-493c-aeb2-d11b7e1d24e0 · inbound
Let Language Constrain Geometry: Vision-Language Models as Semantic and Spatial Critics for 3D Generation cites this paper.
Let Language Constrain Geometry: Vision-Language Models as Semantic and Spatial Critics for 3D Generation Exploring How Generative MLLMs Perceive More Than CLIP with the Same Vision Encoder
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T21:41:29.564545Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13ac5c34-8a8f-4d67-b03e-e2dceb445798 · inbound
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization cites this paper.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Exploring How Generative MLLMs Perceive More Than CLIP with the Same Vision Encoder
Reference 26
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T10:06:03.125221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.