Paper Citation Record · LEDGER

LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 37 inbound Pith citation observations for arXiv:2501.03895.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.03895 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 37 of 37 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:32:28.293861Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9da856d3-e288-4a0d-90b0-9d9b6ae8b686 · inbound

Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs cites this paper.

Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:32.564573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86aeb704-3adc-4170-afc5-5eac48021193 · inbound

TinyLLaVA-Video: Towards Smaller LMMs for Video Understanding with Group Resampler cites this paper.

TinyLLaVA-Video: Towards Smaller LMMs for Video Understanding with Group Resampler LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T14:18:18.012399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5d1cee3-db0c-4fd8-b453-1aa778b5ed74 · inbound

VideoRoPE: What Makes for Good Video Rotary Position Embedding? cites this paper.

VideoRoPE: What Makes for Good Video Rotary Position Embedding? LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T20:06:35.222155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80dec6b0-91d2-4194-a46b-e89c217429fe · inbound

IV-Bench: A Benchmark for Image-Grounded Video Perception and Reasoning in Multimodal LLMs cites this paper.

IV-Bench: A Benchmark for Image-Grounded Video Perception and Reasoning in Multimodal LLMs LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T11:32:28.293861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fa331de-f931-4698-b381-4bd57deec528 · inbound

DyMU: Dynamic Merging and Virtual Unmerging for Efficient VLMs cites this paper.

DyMU: Dynamic Merging and Virtual Unmerging for Efficient VLMs LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T10:55:03.234346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36dc7495-b72b-4676-9c79-17a83e1ba0e0 · inbound

VCM: Vision Concept Modeling Based on Implicit Contrastive Learning with Vision-Language Instruction Fine-Tuning cites this paper.

VCM: Vision Concept Modeling Based on Implicit Contrastive Learning with Vision-Language Instruction Fine-Tuning LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T05:53:23.226484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e812d10-ea7d-45f4-80f4-3e28783cfb9e · inbound

Think Twice, Act Once: Token-Aware Compression and Action Reuse for Efficient Inference in Vision-Language-Action Models cites this paper.

Think Twice, Act Once: Token-Aware Compression and Action Reuse for Efficient Inference in Vision-Language-Action Models LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T13:43:04.258730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb4cd5d7-3937-4748-ae83-c7fe93378ead · inbound

FlexSelect: Flexible Token Selection for Efficient Long Video Understanding cites this paper.

FlexSelect: Flexible Token Selection for Efficient Long Video Understanding LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T11:59:10.869569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1f0c0cb-268c-402c-aad2-c20d039f92d4 · inbound

DynTok: Dynamic Compression of Visual Tokens for Efficient and Effective Video Understanding cites this paper.

DynTok: Dynamic Compression of Visual Tokens for Efficient and Effective Video Understanding LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:05.411061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 220f8bba-cf8e-446a-b0d3-556a1f5f6b26 · inbound

NoLoCo: No-all-reduce Low Communication Training Method for Large Models cites this paper.

NoLoCo: No-all-reduce Low Communication Training Method for Large Models LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T04:20:03.894658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a45288c7-d67a-44b0-81fd-85d7a70a5977 · inbound

IPFormer-VideoLLM: Enhancing Multi-modal Video Understanding for Multi-shot Scenes cites this paper.

IPFormer-VideoLLM: Enhancing Multi-modal Video Understanding for Multi-shot Scenes LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T22:37:40.244937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9433110-79f7-4096-895e-e2f652542aaa · inbound

PUMA: Layer-Pruned Language Model for Efficient Unified Multimodal Retrieval with Modality-Adaptive Learning cites this paper.

PUMA: Layer-Pruned Language Model for Efficient Unified Multimodal Retrieval with Modality-Adaptive Learning LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T18:39:07.591851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 806989ac-a5bb-43c2-aff6-6e3192fa1a0a · inbound

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models cites this paper.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T05:51:16.098415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7271e21-b9d0-4e84-8ef0-a93975e2687e · inbound

Fourier Compressor: Frequency-Domain Visual Token Compression for Vision-Language Models cites this paper.

Fourier Compressor: Frequency-Domain Visual Token Compression for Vision-Language Models LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:40:43.060000Z

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 be70dd87-0aee-4f07-a90a-33ab85d0a529 · inbound

Seeing More, Saying More: Lightweight Language Experts are Dynamic Video Token Compressors cites this paper.

Seeing More, Saying More: Lightweight Language Experts are Dynamic Video Token Compressors LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-05T13:05:56.397948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20621b8b-84bf-4333-bd44-84af059d8666 · inbound

Synthetic Homes: A Multimodal Generative AI Pipeline for Residential Building Data Generation under Data Scarcity cites this paper.

Synthetic Homes: A Multimodal Generative AI Pipeline for Residential Building Data Generation under Data Scarcity LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-18T17:11:39.115233Z

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 4730ebf1-852b-481d-81f1-9ddd9edb92b7 · inbound

Synthetic Homes: A Multimodal Generative AI Pipeline for Residential Building Data Generation under Data Scarcity cites this paper.

Synthetic Homes: A Multimodal Generative AI Pipeline for Residential Building Data Generation under Data Scarcity LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T16:08:37.856081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28e56081-00fd-499b-8177-d31081ce1074 · inbound

EchoingPixels: Aliasing-Resistant Joint Token Reduction for Audio-Visual LLMs cites this paper.

EchoingPixels: Aliasing-Resistant Joint Token Reduction for Audio-Visual LLMs LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-03T17:16:43.035260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4557b983-9211-4401-936e-7bf88f5b7569 · inbound

FastSLM: Hierarchical Temporal Abstraction for Efficient Long-Form Speech Adaptation cites this paper.

FastSLM: Hierarchical Temporal Abstraction for Efficient Long-Form Speech Adaptation LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T12:02:02.320472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba33d555-e37f-4f04-b8c6-f4f9b1180065 · inbound

Magic-MM-Embedding: Towards Visual-Token-Efficient Universal Multimodal Embedding with MLLMs cites this paper.

Magic-MM-Embedding: Towards Visual-Token-Efficient Universal Multimodal Embedding with MLLMs LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-03T04:20:59.229137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d3bd22d-f1d0-434f-a862-2d9b7bdc212a · inbound

Beyond Attention Scores: SVD-Based Vision Token Pruning for Efficient Vision-Language Models cites this paper.

Beyond Attention Scores: SVD-Based Vision Token Pruning for Efficient Vision-Language Models LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:50:58.504522Z

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 ee25deb0-089f-455c-adea-041508b539fc · inbound

Beyond Attention Scores: SVD-Based Vision Token Pruning for Efficient Vision-Language Models cites this paper.

Beyond Attention Scores: SVD-Based Vision Token Pruning for Efficient Vision-Language Models LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:39:53.365574Z

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 5f1b2b21-8ab8-422c-9e15-cc1db7e8f5bc · inbound

POINTS-Long: Adaptive Dual-Mode Visual Reasoning in MLLMs cites this paper.

POINTS-Long: Adaptive Dual-Mode Visual Reasoning in MLLMs LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 115

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:03.736027Z

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 52b28f62-8889-4351-94fb-d11f64bf0b04 · inbound

Geometry-Guided 3D Visual Token Pruning for Video-Language Models cites this paper.

Geometry-Guided 3D Visual Token Pruning for Video-Language Models LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:51:09.946533Z

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 037ff41f-8d0c-4e46-98a5-f3a2270c6af9 · inbound

VisMMOE: Exploiting Visual-Expert Affinity for Efficient Visual-Language MoE Offloading cites this paper.

VisMMOE: Exploiting Visual-Expert Affinity for Efficient Visual-Language MoE Offloading LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:36:06.496376Z

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 bec6f267-091b-4cb4-a809-46d6344c8821 · inbound

LookWhen? Fast Video Recognition by Learning When, Where, and What to Compute cites this paper.

LookWhen? Fast Video Recognition by Learning When, Where, and What to Compute LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:40:52.141344Z

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 feb54c7e-bd0f-41d2-8b8f-9b63ec5c1470 · inbound

OProver: A Unified Framework for Agentic Formal Theorem Proving cites this paper.

OProver: A Unified Framework for Agentic Formal Theorem Proving LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 65

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T14:48:23.428962Z

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 171008aa-deaf-41a7-a9c0-d7ae860611bf · inbound

Focus-then-Context: Subject-Centric Progressive Visual Token Reduction for Vision-Language Models cites this paper.

Focus-then-Context: Subject-Centric Progressive Visual Token Reduction for Vision-Language Models LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T05:23:58.577019Z

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 690383a7-c803-4306-8b92-9682bf0bf7e8 · inbound

VEN-VL: A Visual Ensemble MoE Framework for Effective and Efficient Multi-Modal Understanding cites this paper.

VEN-VL: A Visual Ensemble MoE Framework for Effective and Efficient Multi-Modal Understanding LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T22:34:02.610791Z

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 c62617d9-5947-41e0-b401-21df000f508f · inbound

CIVIC: End-to-End Sequence Compactness for Efficient Vision-Language Models cites this paper.

CIVIC: End-to-End Sequence Compactness for Efficient Vision-Language Models LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:13:26.440208Z

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 a0720b38-b6e7-43a7-abf4-ca9f78a33327 · inbound

The Hidden Evolution of Disguised Visual Context inside the VLM cites this paper.

The Hidden Evolution of Disguised Visual Context inside the VLM LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 81

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T03:19:31.826417Z

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 c01c7c92-3aae-491b-a2ad-9db3abb7ac87 · inbound

ELVA: Exploring Ranking-Driven Universal Multimodal Retrieval cites this paper.

ELVA: Exploring Ranking-Driven Universal Multimodal Retrieval LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 72

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T05:49:36.567425Z

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 85f39ace-49c0-4eb0-b2ad-36bfa1e9112e · inbound

MS-Resampler: Multi-Scope Visual Resampling for Efficient Multimodal LLMs cites this paper.

MS-Resampler: Multi-Scope Visual Resampling for Efficient Multimodal LLMs LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:15:44.604793Z

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 500c4645-e0ec-476e-979a-18597bb1ea26 · inbound

EgoPolice: A Benchmark for Egocentric Video Understanding in High-Stakes Police Body-Worn Camera Footage cites this paper.

EgoPolice: A Benchmark for Egocentric Video Understanding in High-Stakes Police Body-Worn Camera Footage LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 83

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T05:34:32.421404Z

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 af44867e-005c-483f-afe5-ce72a7bc4d89 · inbound

PDD-RRG: Posterior Diagnostic Decision for Study-level Radiology Report Generation cites this paper.

PDD-RRG: Posterior Diagnostic Decision for Study-level Radiology Report Generation LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-08T01:03:38.855362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 100f7f4a-5ab0-4897-aeac-f15ce15c3ddc · inbound

Learning to Predict Middle-Layer Attention in MLLMs for Visual Token Prunin cites this paper.

Learning to Predict Middle-Layer Attention in MLLMs for Visual Token Prunin LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T04:30:14.274367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cde152f-f8de-45dd-8e0e-f00f4a94f582 · inbound

Thinking With Tools, Not With Pixels: Tool Calls as Text Scaffolds for Visual Reasoning cites this paper.

Thinking With Tools, Not With Pixels: Tool Calls as Text Scaffolds for Visual Reasoning LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-11T12:53:14.468007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.