Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2403.06199.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:11:47.724821Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T17:56:25.072862Z
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 ece8428b-604a-409e-aed0-10c15b07b89e · inbound
HyperSeg: Towards Universal Visual Segmentation with Large Language Model cites this paper.
HyperSeg: Towards Universal Visual Segmentation with Large Language Model Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:03:54.256115Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d31a72e-f5cf-467c-bda0-e859e0ea21ac · inbound
FlashSloth: Lightning Multimodal Large Language Models via Embedded Visual Compression cites this paper.
FlashSloth: Lightning Multimodal Large Language Models via Embedded Visual Compression Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models
Reference 75
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:37:08.427822Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c855a13-d7ce-447e-969e-9181ab7ba09d · inbound
LinVT: Empower Your Image-level Large Language Model to Understand Videos cites this paper.
LinVT: Empower Your Image-level Large Language Model to Understand Videos Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models
Reference 86
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:54:16.675248Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae40ddf9-7382-4fc5-9dce-e0a364bc2a19 · inbound
InstructSeg: Unifying Instructed Visual Segmentation with Multi-modal Large Language Models cites this paper.
InstructSeg: Unifying Instructed Visual Segmentation with Multi-modal Large Language Models Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:37:59.687407Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b2ec4d8-7180-4bd7-bb9c-7b913907ced9 · inbound
LOP: Learning Optimal Pruning for Efficient On-Demand MLLMs Scaling cites this paper.
LOP: Learning Optimal Pruning for Efficient On-Demand MLLMs Scaling Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:11:47.724821Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80e71a35-495e-4fb4-979e-48df0d34a593 · inbound
Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study cites this paper.
Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:22:48.525847Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 945a6bac-08f4-462f-a088-0a581fb5ec00 · inbound
Mema: Memory-Augmented Adapter for Enhanced Vision-Language Understanding cites this paper.
Mema: Memory-Augmented Adapter for Enhanced Vision-Language Understanding Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T17:56:25.076636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a9ffd270-bbf9-4bb7-a8ec-bf4040c1881b · inbound
Structural Pruning of Large Vision Language Models: A Comprehensive Study on Pruning Dynamics, Recovery, and Data Efficiency cites this paper.
Structural Pruning of Large Vision Language Models: A Comprehensive Study on Pruning Dynamics, Recovery, and Data Efficiency Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T21:56:14.035868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.