Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2311.05437.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T19:25:33.751527Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T10:35:41.926606Z
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 b96c18cb-aa7d-4802-81af-1c9b31884c8a · inbound
MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Reference 78
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 4401e72f-91e8-4b34-a444-fad6f2db5712 · inbound
A Survey on Hallucination in Large Vision-Language Models LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Reference 30
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 ffb75772-aa49-4876-8637-f0066da0672e · inbound
Large Language Models: A Survey LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Reference 217
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 1ffe80b4-f047-46b4-9bbf-997312599f30 · inbound
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Reference 77
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 66ac61e0-3ecd-462d-97f2-86c17d6da27b · inbound
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Reference 15
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 fd30c3a7-9fb9-4fe2-b9b9-cc64a6e87e46 · inbound
Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Reference 136
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 c09a4593-00e2-4dac-b352-4eecbd225704 · inbound
Image Embedding Sampling Method for Diverse Captioning LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Reference 31
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42de5efa-0cb5-431a-83ba-d78fd3927afc · inbound
Circle-RoPE: Cone-like Decoupled Rotary Positional Embedding for Large Vision-Language Models LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Reference 14
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 5d56ce10-92a8-4789-9fc0-94d03b860da1 · inbound
Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Reference 50
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0e4dc90-d51d-4690-9e97-909398100931 · inbound
ZeroVO: Visual Odometry with Minimal Assumptions LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Reference 50
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4720f529-b09c-480a-a074-accdfeef8031 · inbound
A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Reference 152
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6798a7d-cf83-4917-bc88-4894cf994b78 · inbound
LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13d2176b-db56-4ac4-856e-40753e4f798d · inbound
Augmented Vision-Language Models: A Systematic Review LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Reference 68
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3665d3b9-926c-4d2e-9dea-54a19b7b8306 · inbound
Reinforced Visual Perception with Tools LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Reference 35
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae82f0c8-2299-4db5-8847-af159577028b · inbound
Mitigating Coordinate Prediction Bias from Positional Encoding Failures LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Reference 13
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 df93be91-3232-4a8c-b30b-18c5ae5848ed · inbound
VisReason: A Large-Scale Dataset for Visual Chain-of-Thought Reasoning LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8089de90-037a-42c6-8409-83dbeba083cf · inbound
E-VLA: Event-Augmented Vision-Language-Action Model for Dark and Blurred Scenes LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3d56488-2b30-43f2-b2fe-443ab946a08e · inbound
Less Detail, Better Answers: Degradation-Driven Prompting for VQA LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Reference 25
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 ac93bcb1-9b2b-44dc-acb9-751745bcae77 · inbound
Waking Up Blind: Cold-Start Optimization of Supervision-Free Agentic Trajectories for Grounded Visual Perception LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Reference 3
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 b24b2b45-f5a1-4dce-8f76-ad08bd6af5a0 · inbound
Second-Order Multi-Level Variance Correction for Modality Competition in Multimodal Models LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Reference 10
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 45a2a72a-1e30-471f-b9a5-d41b606ec131 · inbound
IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Reference 54
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 d590c960-c4d2-457b-942d-8adab7f652f6 · inbound
ReGRPO: Reflection-Augmented Policy Optimization for Tool-Using Agents LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Reference 12
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 61b9a200-a680-4ee8-b4db-2cd88dac3504 · inbound
BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained Perception LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Reference 216
Source-reported events for the cited work
Unavailable: canonical work link unavailable.