Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2405.09798.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T15:05:19.268015Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T04:25:19.781518Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 8689c888-24a6-4676-8f49-0fd6649775e0 · inbound
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding Many-Shot In-Context Learning in Multimodal Foundation Models
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c324eeda-50c0-4d0a-a6d4-63947787e77b · inbound
LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models Many-Shot In-Context Learning in Multimodal Foundation Models
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation bda496a3-7261-4297-a81d-5ad25e3707ea · inbound
LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations Many-Shot In-Context Learning in Multimodal Foundation Models
Reference 2022
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7934e86c-77b5-41b4-9c21-78f8b1f5b949 · inbound
Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning Many-Shot In-Context Learning in Multimodal Foundation Models
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ab54576-f894-4307-a2c7-413cd260af69 · inbound
Error-driven Data-efficient Large Multimodal Model Tuning Many-Shot In-Context Learning in Multimodal Foundation Models
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de007016-4963-4ae8-94f5-8b7ecf2e55b7 · inbound
Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey Many-Shot In-Context Learning in Multimodal Foundation Models
Reference 185
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b2465b4-c836-4a5e-9a6b-bb7a62a0222d · inbound
Visual RAG: Expanding MLLM visual knowledge without fine-tuning Many-Shot In-Context Learning in Multimodal Foundation Models
Reference 2024
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 566c462b-768c-4f74-92e5-1c45327b56d5 · inbound
MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents Many-Shot In-Context Learning in Multimodal Foundation Models
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83c0b738-d009-48d4-87bd-3ad0b198b3f7 · inbound
From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation Many-Shot In-Context Learning in Multimodal Foundation Models
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41d89f27-34a1-4bbc-9c4f-63c89b39b4f0 · inbound
Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching Many-Shot In-Context Learning in Multimodal Foundation Models
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 973035ca-77dd-43cd-8391-1e740949f05d · inbound
How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks Many-Shot In-Context Learning in Multimodal Foundation Models
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 81541ab2-1b20-4b79-8230-ef2d6bf3d74c · inbound
True Multimodal In-Context Learning Needs Attention to the Visual Context Many-Shot In-Context Learning in Multimodal Foundation Models
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f949f0e5-46a8-445c-be4f-4a7c575cc8a6 · inbound
True Multimodal In-Context Learning Needs Attention to the Visual Context Many-Shot In-Context Learning in Multimodal Foundation Models
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95eb9f2f-dd60-4303-995a-fb97ec87b6d8 · inbound
Towards Compute-Optimal Many-Shot In-Context Learning Many-Shot In-Context Learning in Multimodal Foundation Models
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a01c224e-b043-443d-9d2f-17963259643c · inbound
Visual Species Recognition with Large Multimodal Models as Post-Hoc Correctors Many-Shot In-Context Learning in Multimodal Foundation Models
Reference 36
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6c0965f-1f6e-458e-9f0e-fd5d4f94c0b7 · inbound
Personal Visual Context Learning in Large Multimodal Models Many-Shot In-Context Learning in Multimodal Foundation Models
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c5992951-048a-4136-8f99-84469c93f655 · inbound
When Youth Enter the Algorithmic Wild: Discovering and Understanding Potentially Harmful Teen Videos on Douyin and Kwai Many-Shot In-Context Learning in Multimodal Foundation Models
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 610dae7e-06c2-4739-9085-c936289a3846 · inbound
In-Context Learning for Wound Classification with Small Multimodal Language Models Many-Shot In-Context Learning in Multimodal Foundation Models
Reference 35
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 081ba260-c89f-4407-88bd-80a52c4d203e · inbound
Inference-Time Agentic Decision Rules Beat Longer Evolving Search for Multi-Image Medical Reasoning Many-Shot In-Context Learning in Multimodal Foundation Models
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b08c0e2-cb6d-4a25-a925-a9af27946d64 · inbound
In-Context Collapse in Vision-Language Models and How to Mitigate it? Many-Shot In-Context Learning in Multimodal Foundation Models
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.