Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.18021.
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 2026-08-07T13:14:08.070786Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T05:40:56.036122Z
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 805c69e3-cfec-4ccb-b641-a27539f7c170 · 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 Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:14:08.070786Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a990664-95bc-4ed7-9107-548f6eb72e66 · inbound
Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models cites this paper.
Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:25:30.347857Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0efde7c-62a4-4f48-934c-376553f6b27a · inbound
True Multimodal In-Context Learning Needs Attention to the Visual Context cites this paper.
True Multimodal In-Context Learning Needs Attention to the Visual Context Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:29:33.637147Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7798c12-b2f3-499a-afef-f652dc53e1b7 · inbound
Online In-Context Distillation for Low-Resource Vision Language Models cites this paper.
Online In-Context Distillation for Low-Resource Vision Language Models Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T05:40:56.038621Z
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 488fc930-8120-4fcb-aefc-b2555ab85a12 · inbound
Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and Bottlenecks cites this paper.
Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and Bottlenecks Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:45:28.206259Z
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.