LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs | Paper Citation Record

Observation cee1f6ce-6a32-4bdf-9b3c-7352849c29ac · outbound

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

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Flamingo: a visual language model for few-shot learning

Reference 1

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Observation ab0cc359-29f9-4889-99a6-c5525bbf7929 · outbound

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

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2

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Observation 6f2721f9-a9a1-483f-88cb-f0159f6ec301 · outbound

This paper cites Honeybee: Locality-enhanced projector for multimodal llm.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Honeybee: Locality-enhanced projector for multimodal llm

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.611398Z

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Observation b55466f2-e18b-4f99-a487-c8b24a190331 · outbound

This paper cites Conceptual 12m: Pushing web-scale image-text pre- training to recognize long-tail visual concepts.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Conceptual 12m: Pushing web-scale image-text pre- training to recognize long-tail visual concepts

Reference 4

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Observation e98cef87-098b-4b09-9d65-a8faa89b346f · outbound

This paper cites Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:43.631540Z

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Observation 0c9fe8de-7a77-45bd-baba-7d4913a8f81b · outbound

This paper cites ShareGPT4V: Improving Large Multi-Modal Models with Better Captions.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

Reference 6

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Observation 545f009c-c476-415b-8c41-ec954171c74e · outbound

This paper cites SOLO: A Single Transformer for Scalable Vision-Language Modeling.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs SOLO: A Single Transformer for Scalable Vision-Language Modeling

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:43.915177Z

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Observation d1ada282-759c-40ec-8784-3aa7265ac3ae · outbound

This paper cites Uniter: Universal image-text representation learning.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Uniter: Universal image-text representation learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.574843Z

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Observation e9145929-a1dc-4553-a4aa-6727d9e6cca7 · outbound

This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:44.115572Z

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Observation 6d7ef2a5-c6f2-4970-ae26-e0d07112cdc5 · outbound

This paper cites Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.555610Z

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Observation 6e9bb0d1-a4e3-412e-b890-99f880d9b9c6 · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.537078Z

Source-reported events for the cited work

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Observation 3aa9277e-10de-47ab-b680-eb9f8412d345 · outbound

This paper cites Instructblip: Towards general-purpose vision-language models with instruction tuning.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Instructblip: Towards general-purpose vision-language models with instruction tuning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.519939Z

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Observation e7305b86-daf9-40fe-b4aa-958b5de44d65 · outbound

This paper cites Unveiling Encoder-Free Vision-Language Models.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Unveiling Encoder-Free Vision-Language Models

Reference 13

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Observation 68489f04-2607-4e17-b14b-c4c59d5c6de7 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:44.585083Z

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Observation d73db33c-a918-4358-a229-4f0b58ebd1e4 · outbound

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

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:44.704161Z

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Observation e67fd48f-ed16-4bfd-b86f-e8dd213de02e · outbound

This paper cites Mmgpt4lf: Leverag- ing an optimized pre-trained gpt-2 model with multi-modal cross-attention for load forecasting.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Mmgpt4lf: Leverag- ing an optimized pre-trained gpt-2 model with multi-modal cross-attention for load forecasting

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.493689Z

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Observation e03fe239-a1a0-40f4-8940-fbe98b498ecd · outbound

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

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Making the v in vqa matter: Elevating the role of image understanding in visual question answer- ing

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.476285Z

Source-reported events for the cited work

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Observation 2e250998-a5bd-4a2b-846f-6d6d09f20097 · outbound

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

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Vizwiz grand challenge: Answering visual questions from blind people

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.457966Z

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Observation 97b4e0f1-3f29-4140-b356-8d4085e4f5d3 · outbound

This paper cites Efficient Multimodal Learning from Data-centric Perspective.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Efficient Multimodal Learning from Data-centric Perspective

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:44.920866Z

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Observation 39b07aac-03de-48a1-9614-df0622cafa0d · outbound

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

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs LoRA: Low-Rank Adaptation of Large Language Models

Reference 20

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Observation 37f40682-d614-42b4-a53a-4d2462c1cde0 · outbound

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

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Gqa: A new dataset for real-world visual reasoning and compositional question answering

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:44.931122Z

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Observation a125aabf-069c-468e-893a-6409cbfc2219 · outbound

This paper cites MANTIS: Interleaved Multi-Image Instruction Tuning.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs MANTIS: Interleaved Multi-Image Instruction Tuning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:44.936712Z

Source-reported events for the cited work

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Observation 4c4ce55f-2ae4-497d-8c5c-be6f910a51c7 · outbound

This paper cites Dvqa: Understanding data visualizations via ques- tion answering.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Dvqa: Understanding data visualizations via ques- tion answering

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.427769Z

Source-reported events for the cited work

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Observation 7e2dc6ef-960f-4711-9de2-38504f54325f · outbound

This paper cites SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:44.946588Z

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Observation 1a7db1ba-c02c-4de9-9908-3c8a97f2f384 · outbound

This paper cites OtterHD: A High-Resolution Multi-modality Model.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs OtterHD: A High-Resolution Multi-modality Model

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:44.950880Z

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Observation ee97ffc7-ea7d-484f-9daf-344ab183e9ce · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.411783Z

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Observation fec20d40-0c96-4c3c-8727-edda88af5379 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.395048Z

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Observation adbb46d0-1439-4dc9-ac89-57bb7b0e8210 · outbound

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

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Evaluating Object Hallucination in Large Vision-Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:44.965646Z

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Observation 92d33b10-36b3-44dc-8822-a3e46aab0ad4 · outbound

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

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:44.970173Z

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Observation a0e70f54-e15c-4080-9aa0-952c91d5f73a · outbound

This paper cites Mon- key: Image resolution and text label are important things for large multi-modal models.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Mon- key: Image resolution and text label are important things for large multi-modal models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.376466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 359df87f-915d-4925-aed3-013de3b65b0c · outbound

This paper cites Vila: On pre-training for visual language models.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Vila: On pre-training for visual language models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.359343Z

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Observation 5c43d5bd-080b-44d8-a57f-8defc6663b94 · outbound

This paper cites SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models

Reference 32

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Observation 9665645e-4cba-4403-8551-2dfccc20952f · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Improved Baselines with Visual Instruction Tuning

Reference 33

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Observation 77762b0e-6226-4098-ab4a-7f3de606e4fb · outbound

This paper cites Visual instruction tuning.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Visual instruction tuning

Reference 34

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Observation 54ee26ed-be62-4a20-8a4c-3d777a7ae95f · outbound

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

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024

Reference 35

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Observation 68c43b42-5a1a-49f0-bf9d-63210c86902f · outbound

This paper cites Mmbench: Is your multi-modal model an all-around player? In ECCV, pages 216–233.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Mmbench: Is your multi-modal model an all-around player? In ECCV, pages 216–233

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.321340Z

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Observation 2edb4b9e-99df-45ef-adb5-42ba2f571515 · outbound

This paper cites A convnet for the 2020s.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs A convnet for the 2020s

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.303530Z

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Observation d0ef25ee-4b4b-4d37-aa7c-ec6ec9e42007 · outbound

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

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Learn to explain: Multimodal reasoning via thought chains for science question answering

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.287850Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0870f533-a5ce-4bec-b390-43a3a9d4e9ab · outbound

This paper cites Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:45.018551Z

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Observation 2f1baa1c-0008-485a-91cf-4a9730393dd8 · outbound

This paper cites Unirgb-ir: A unified frame- work for rgb-infrared semantic tasks via adapter tuning.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Unirgb-ir: A unified frame- work for rgb-infrared semantic tasks via adapter tuning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:45.024693Z

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Observation 4c90dc6b-1bd6-49ab-b71e-951cbf27c62f · outbound

This paper cites Gpt-4v(ision) system card, 2023.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Gpt-4v(ision) system card, 2023

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:45.029990Z

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Observation 10f53c0c-c4a9-4b9e-8b31-45b6b3d077d9 · outbound

This paper cites an unresolved cited work.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Unresolved cited work

Reference 42

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Source-reported events for the cited work

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Observation 61817f82-debb-4b6f-9f30-5a9c7a65cf73 · outbound

This paper cites Im2text: Describing images using 1 million captioned pho- tographs.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Im2text: Describing images using 1 million captioned pho- tographs

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.245228Z

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Observation 86824750-a82c-400a-90c0-6109603038fc · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Learn- ing transferable visual models from natural language super- vision

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.229834Z

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Observation 42a8aa21-46f4-4598-a6f7-94c37158d116 · outbound

This paper cites Introducing our multimodal models, 2023.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Introducing our multimodal models, 2023

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.213938Z

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Observation b1a630e2-8570-472b-a26a-bea2785aed4c · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:45.056171Z

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Observation 0a7bcfc6-44a7-4e98-ac0f-e6e35e9920ad · outbound

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

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders

Reference 47

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Source-reported events for the cited work

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Observation 301a441b-d411-4a07-a674-d5140293ea0d · outbound

This paper cites Towards vqa models that can read.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Towards vqa models that can read

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.196495Z

Source-reported events for the cited work

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Observation 77389585-b3f9-4a47-ab97-aa12d7948fa4 · outbound

This paper cites Towards vqa models that can read.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Towards vqa models that can read

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.178948Z

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Observation 3b8bd4df-b998-43a8-a499-7dc662571fe8 · outbound

This paper cites Adapool: Expo- nential adaptive pooling for information-retaining downsam- pling.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Adapool: Expo- nential adaptive pooling for information-retaining downsam- pling

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:45.079975Z

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Observation bbc6f390-ff3c-4a79-84d7-ea45e7c07116 · outbound

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

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Gemini: A Family of Highly Capable Multimodal Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:45.086031Z

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Observation 72462e34-fbb2-48d0-9d92-2f6d9989153a · outbound

This paper cites Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:45.091175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44557196-22e8-4c08-8f0d-2e3ff4fb4a5b · outbound

This paper cites Eyes wide shut? exploring the visual shortcomings of multimodal llms.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Eyes wide shut? exploring the visual shortcomings of multimodal llms

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.149443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 38bd5eed-883d-4378-aabc-c748c6c41fcc · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:45.104103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d99a8b76-1fc4-4252-8b4a-f455e17a2046 · outbound

This paper cites Vit-comer: Vision transformer with convolu- tional multi-scale feature interaction for dense predictions.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Vit-comer: Vision transformer with convolu- tional multi-scale feature interaction for dense predictions

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.132019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 04f360b7-f5ba-4a69-b6cf-8a1077010caa · outbound

This paper cites LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:45.114851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fca24d84-cd1c-417a-bb59-ff56e4f0d028 · outbound

This paper cites xgen-mm (blip-3): A family of open large multimodal models.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs xgen-mm (blip-3): A family of open large multimodal models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:45.121380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b53642ed-20c3-4215-833c-5837dc8c421f · outbound

This paper cites Dense Connector for MLLMs.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Dense Connector for MLLMs

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:19:45.429257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5be07de4-f1f7-4d71-8631-80c31b637cec · outbound

This paper cites Image difference cap- tioning with pre-training and contrastive learning.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Image difference cap- tioning with pre-training and contrastive learning

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.115108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 34b26c7e-af54-4113-a51c-b0978ddb19d5 · outbound

This paper cites DeCo: Decoupling Token Compression from Semantic Abstraction in Multimodal Large Language Models.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs DeCo: Decoupling Token Compression from Semantic Abstraction in Multimodal Large Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:45.139225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b84d7fd-9ebe-4e04-ad98-20fcbb1b05a8 · outbound

This paper cites Modeling context in referring expres- sions.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Modeling context in referring expres- sions

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.097275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4591d180-2c6b-4798-99d0-f88e1091ee2a · outbound

This paper cites MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:45.150548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8041b73d-0350-4191-a166-d342e42d7523 · outbound

This paper cites Improving rgb-infrared object detection with cascade alignment-guided transformer.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Improving rgb-infrared object detection with cascade alignment-guided transformer

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.079474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cd0d889e-0e3b-40f4-bc79-bbe21341c7ae · outbound

This paper cites Lane detection transformer based on multi- frame horizontal and vertical attention and visual trans- former module.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Lane detection transformer based on multi- frame horizontal and vertical attention and visual trans- former module

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.062261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b7cadc4d-47b2-4570-921e-e97df1d5db9c · outbound

This paper cites MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:45.166758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22f5ab8f-4ecb-46d3-b237-dc67a5255b2c · outbound

This paper cites Removal and selection: Improving rgb- infrared object detection via coarse-to-fine fusion.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Removal and selection: Improving rgb- infrared object detection via coarse-to-fine fusion

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:45.173798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b728e6cb-ce85-4178-9119-4c47f55440c3 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:45.179796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 504e8ba0-fff7-4e4e-b664-abed4832f663 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:45.185864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fa3c775-5141-4b1b-a531-3693d22ca1c3 · outbound

This paper cites Future work will involve experiments on various LLMs such as Qwen2.5, Mistral, and LLaMA3.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Future work will involve experiments on various LLMs such as Qwen2.5, Mistral, and LLaMA3

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.027455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a08b0375-8b33-4c30-a8b9-e9dcc87f04fc · outbound

This paper cites The input and output channels of the convolutional kernels are 1024 (equal to the visual feature dimension output by ViT) and 512, respectively.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs The input and output channels of the convolutional kernels are 1024 (equal to the visual feature dimension output by ViT) and 512, respectively

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.010281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 04e26855-5c68-4bb6-8c77-55131c8235a2 · outbound

This paper cites CLIP-bind pairs.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs CLIP-bind pairs

Reference 512

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:46.044601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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