Paper Citation Record · LEDGER

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders

As of 13 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2501.01709.

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

pith.paper-citation-record.v1
2501.01709 v3

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:27:13.689128Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:57:21.526961Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:57:29.885926Z

Reference resolution

53 of 53 outbound references displayed

verified exact1
verified fuzzy12
unresolved40
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cf6a0da2-a87d-43cc-8679-884247b53839 · outbound

This paper cites GPT-4 Technical Report.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.382925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72bc8d5d-2859-488b-9811-fdd6089aacd4 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Flamingo: a visual language model for few-shot learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.389227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 394a6094-ea0f-44c6-aa33-56a8d98c6341 · outbound

This paper cites Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy?.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy?

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.394598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29eadd2a-b321-4116-aaba-f565bcd3dc3b · outbound

This paper cites Qwen Technical Report.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Qwen Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.400410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1af4069-2089-434c-a895-c190c413f8ee · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.406616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2687125c-24e1-48de-ab2e-96b715d75515 · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.412710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e50f52a4-ca56-4c32-a693-2cd55c8f7e59 · outbound

This paper cites InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.420168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2fa7aa1-aa03-43d2-87b6-742b494381e7 · outbound

This paper cites MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.427397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4034b046-be82-4ccd-ac3f-6a160a373862 · outbound

This paper cites Vision transformers need registers.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Vision transformers need registers

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:14.627450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8aec9829-59fc-488c-b5c1-76ea0e4368cd · outbound

This paper cites Eva-02: A visual representation for neon genesis.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Eva-02: A visual representation for neon genesis

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.441521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65d36236-5e96-4cbd-9627-66da1a147166 · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.447468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 578d87cc-5f4c-4c24-8401-dedc8188ec17 · outbound

This paper cites Dat- acomp: In search of the next generation of multimodal datasets.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Dat- acomp: In search of the next generation of multimodal datasets

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.452669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daca6a56-0b16-47e8-b833-314ee6d83281 · outbound

This paper cites Making the v in vqa matter: Elevating the role of image understanding in visual question answer- ing.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Making the v in vqa matter: Elevating the role of image understanding in visual question answer- ing

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.458349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bba2ffc5-ee89-464a-9fbc-86b4d9ca3449 · outbound

This paper cites Vizwiz grand challenge: Answering visual questions from blind people.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Vizwiz grand challenge: Answering visual questions from blind people

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.464635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 488b43f6-0e74-4076-bee2-cd45e28ef5b9 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Distilling the Knowledge in a Neural Network

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.470237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5271c9cd-2ae0-461f-85cc-35d4c849efe7 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders LoRA: Low-Rank Adaptation of Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.475542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5f3b0c7-f067-4180-a8e8-8e2f027fb0d0 · outbound

This paper cites Masked Distillation with Receptive Tokens.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Masked Distillation with Receptive Tokens

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.480425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f62af99d-6761-4c4f-8e45-5d29316f57ed · outbound

This paper cites GQA: A new dataset for real-world visual reasoning and compositional question answering.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders GQA: A new dataset for real-world visual reasoning and compositional question answering

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:14.568334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 87fc07ba-5945-4995-863d-0ebb0777647d · outbound

This paper cites Adaptive mixtures of local experts.Neu- ral computation, 3(1):79–87, 1991.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Adaptive mixtures of local experts.Neu- ral computation, 3(1):79–87, 1991

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.492983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6154a4ab-ccde-4993-8d97-e860da380d1c · outbound

This paper cites Lift3d foun- dation policy: Lifting 2d large-scale pretrained models for robust 3d robotic manipulation, 2024.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Lift3d foun- dation policy: Lifting 2d large-scale pretrained models for robust 3d robotic manipulation, 2024

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:14.540306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation abd0a356-d95e-490c-9744-21e05817f992 · outbound

This paper cites Segment any- thing.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Segment any- thing

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.507315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c29da05-1f08-4f24-a27b-e8095cba03dd · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Evaluating Object Hallucination in Large Vision-Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.513574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb110152-8f13-4916-a61a-3729b7c2f7d1 · outbound

This paper cites Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.519870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 101b2808-9905-4246-8aaf-4da0ed31e7c7 · outbound

This paper cites Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.527145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2d3d16b-74e6-4b1f-8485-73d85e27d9b2 · outbound

This paper cites MoE-LLaVA: Mixture of Experts for Large Vision-Language Models.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.532542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b8063a9-da3c-4c10-9bca-b042bab36ae5 · outbound

This paper cites Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.538320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f68b4fa-2d80-436e-85a4-0f58ef3f9bdc · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Improved Baselines with Visual Instruction Tuning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.543646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2974143e-4c3f-48c8-b346-855f5fb5070f · outbound

This paper cites Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.548511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50f0df7c-440d-4b04-9783-e3aab29c2115 · outbound

This paper cites Visual instruction tuning.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Visual instruction tuning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:14.503141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7eb9eb38-33d2-4e57-b0f5-ef1c3e9b7ff7 · outbound

This paper cites MMBench: Is Your Multi-modal Model an All-around Player?.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders MMBench: Is Your Multi-modal Model an All-around Player?

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.558488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbafa25b-627d-46b0-85b8-438fd0be0cda · outbound

This paper cites A convnet for the 2020s.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders A convnet for the 2020s

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.564407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 205b5671-f1d1-48e7-9646-48d2498a0787 · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Learn to explain: Multimodal reasoning via thought chains for science question answering

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.570609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80498a9c-ada8-4563-95bd-d9a85ce414c6 · outbound

This paper cites Llm as dataset ana- lyst: Subpopulation structure discovery with large language model.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Llm as dataset ana- lyst: Subpopulation structure discovery with large language model

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:14.460442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2607c897-9f4b-40d7-b82c-a561a42ab248 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders DINOv2: Learning Robust Visual Features without Supervision

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.581901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12b5d433-b490-4924-927a-714bfe6a51f1 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Learning transferable visual models from natural language supervi- sion

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:14.442625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fdfdba85-9aec-4478-9b2c-c5f8a7ad38ee · outbound

This paper cites Am-radio: Agglomerative vision foundation model reduce all domains into one.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Am-radio: Agglomerative vision foundation model reduce all domains into one

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:14.419028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b8b51a70-6c67-4186-bf91-29f9eda3a3ca · outbound

This paper cites When do we not need larger vision models? In European Conference on Computer Vision, pages 444–462.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders When do we not need larger vision models? In European Conference on Computer Vision, pages 444–462

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:14.397989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cea5852e-cdf8-4cd4-90d7-0adf3091d588 · outbound

This paper cites Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.606238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fb87df2-bf6a-4d24-86d2-b06f143106d1 · outbound

This paper cites LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge Distillation.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge Distillation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.611917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation feab3b34-00d0-4463-af1b-f2373b6e3400 · outbound

This paper cites Towards VQA models that can read.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Towards VQA models that can read

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:14.376638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 537f842c-2f51-4b1f-a934-71619aa3f266 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Gemini: A Family of Highly Capable Multimodal Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.623266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06dddca7-3899-4452-a179-9dfe1bb073dd · outbound

This paper cites Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.629155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc810408-1203-4a73-b879-54a5a7f7a875 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders LLaMA: Open and Efficient Foundation Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.634602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fd74cd9-03fe-46e4-b28b-161e108eac19 · outbound

This paper cites Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.640466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f461571d-9743-41b5-a747-724556a9ebd8 · outbound

This paper cites Beyond full fine-tuning: Harnessing the power of lora for multi-task instruction tuning.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Beyond full fine-tuning: Harnessing the power of lora for multi-task instruction tuning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:14.358827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation aeb84c7c-b67b-4163-8095-7d3114642c16 · outbound

This paper cites One Student Knows All Experts Know: From Sparse to Dense.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders One Student Knows All Experts Know: From Sparse to Dense

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:27:13.840003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 360e5dd2-430c-497c-b871-c338e1d837f6 · outbound

This paper cites Baichuan 2: Open Large-scale Language Models.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Baichuan 2: Open Large-scale Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.656119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 739e32ef-aa33-4050-b254-3065d0eade26 · outbound

This paper cites mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.661456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70e96a49-6bc9-4699-b345-d73b97b094ee · outbound

This paper cites Learn- ing from multiple teacher networks.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Learn- ing from multiple teacher networks

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:14.341911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 99d02520-c2a3-488b-b4a0-cf37515833be · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Yi: Open Foundation Models by 01.AI

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.672970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44a85115-9640-4250-aeab-06739e43206d · outbound

This paper cites SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.678455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df1d01a3-4cf9-421d-9494-3812d1d04ec7 · outbound

This paper cites Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:13.683823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5c23181-1923-488d-a002-443d8b833862 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in Neural Information Processing Systems, 36:46595–46623, 2023.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in Neural Information Processing Systems, 36:46595–46623, 2023

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:14.322850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation 67cb66a0-1f7c-4564-97a1-625fa7ed7c47 · inbound

GenRecal: Generation after Recalibration from Large to Small Vision-Language Models cites this paper.

GenRecal: Generation after Recalibration from Large to Small Vision-Language Models MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T23:57:29.890113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.