To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning | Paper Citation Record

Observation fb08796f-a04b-43cd-99dd-3da7f1d1f638 · inbound

A Survey on Multimodal Large Language Models cites this paper.

A Survey on Multimodal Large Language Models To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 93

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:56:42.628229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 246e4615-ae3c-4a41-b907-cb9847acbc77 · inbound

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

MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 121

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:35:38.152397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dc43a9a1-d6cd-4c80-bb6b-37ce19e8e0e5 · inbound

InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model cites this paper.

InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:30:27.737221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3ced92d1-13d4-4817-80a1-a4ac61a6905e · inbound

MobileVLM V2: Faster and Stronger Baseline for Vision Language Model cites this paper.

MobileVLM V2: Faster and Stronger Baseline for Vision Language Model To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:27:52.101123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 846e3349-49b1-4036-be1c-66763a84d450 · inbound

DeepSeek-VL: Towards Real-World Vision-Language Understanding cites this paper.

DeepSeek-VL: Towards Real-World Vision-Language Understanding To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:58:54.717931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 41079ee0-4245-4c6d-95d0-d2ae23429ab5 · inbound

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training cites this paper.

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 113

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T04:09:36.300585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 91f73498-8512-43d5-b6a2-cc4d57037c79 · inbound

Are We on the Right Way for Evaluating Large Vision-Language Models? cites this paper.

Are We on the Right Way for Evaluating Large Vision-Language Models? To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-12T19:41:44.390189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e4c6ebed-d918-48a8-a469-81cab83b8464 · inbound

SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation cites this paper.

SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-15T22:48:36.219428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bdff8938-636e-4351-b0f2-108942cf6752 · inbound

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

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 115

Resolution: verified exact; arxiv_id, observed 2026-05-12T20:58:59.228957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9be80528-7c79-4df7-a9ac-42d7cf12cd4e · inbound

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

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 132

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:05:03.766949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec5e6333-e0bf-4e44-8a52-61b818a22b4c · inbound

InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output cites this paper.

InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 150

Resolution: verified exact; arxiv_id, observed 2026-05-17T10:46:28.754970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3b444aa8-0c49-43fd-906d-460b82451ffc · inbound

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models cites this paper.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 110

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:55:12.693057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cba2aec2-877a-45a6-8f82-dbfb08cdcf5b · inbound

MIRe: Enhancing Multimodal Queries Representation via Fusion-Free Modality Interaction for Multimodal Retrieval cites this paper.

MIRe: Enhancing Multimodal Queries Representation via Fusion-Free Modality Interaction for Multimodal Retrieval To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T21:48:54.052069Z

Source-reported events for the cited work

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Observation 37c6eede-1eec-4593-8dac-5d4cdcd87a11 · inbound

BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices cites this paper.

BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 124

Resolution: unresolved; no resolver link, observed 2026-08-12T19:33:00.999591Z

Source-reported events for the cited work

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Observation 2353e9f8-d74d-4bf5-8e8e-4b59da94f0f5 · inbound

Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification cites this paper.

Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T05:01:00.346640Z

Source-reported events for the cited work

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Observation 6fb38b55-2166-4303-89fe-b62a5283848a · inbound

Agri-LLaVA: Knowledge-Infused Large Multimodal Assistant on Agricultural Pests and Diseases cites this paper.

Agri-LLaVA: Knowledge-Infused Large Multimodal Assistant on Agricultural Pests and Diseases To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T23:50:37.089010Z

Source-reported events for the cited work

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Observation f63519f4-1867-4e76-b350-9d23eca62241 · inbound

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling cites this paper.

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 245

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:23:58.101801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c14f66df-556f-4525-b716-5a3e9cc4b655 · inbound

POINTS1.5: Building a Vision-Language Model towards Real World Applications cites this paper.

POINTS1.5: Building a Vision-Language Model towards Real World Applications To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T17:53:36.335982Z

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Observation dbd852c3-0825-4781-914e-37e6b6a16722 · inbound

V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding cites this paper.

V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 120

Resolution: unresolved; no resolver link, observed 2026-08-11T16:58:03.454779Z

Source-reported events for the cited work

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Observation dbefc10c-0c29-47b3-a559-8f547d0cbcfa · inbound

MetaMorph: Multimodal Understanding and Generation via Instruction Tuning cites this paper.

MetaMorph: Multimodal Understanding and Generation via Instruction Tuning To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 87

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T07:51:13.416130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 35b58c34-35a2-4dd1-8441-376a04fccdd3 · inbound

VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction cites this paper.

VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:08:19.689938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4151c0ed-3e43-4811-8928-2af738694700 · inbound

Visual Large Language Models for Generalized and Specialized Applications cites this paper.

Visual Large Language Models for Generalized and Specialized Applications To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 258

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:09.902114Z

Source-reported events for the cited work

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Observation a81bae1f-746a-4107-90b0-ebf99c150d8f · inbound

Pix2Cap-COCO: Advancing Visual Comprehension via Pixel-Level Captioning cites this paper.

Pix2Cap-COCO: Advancing Visual Comprehension via Pixel-Level Captioning To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T15:32:55.535190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70518c8b-093a-44e4-9bac-08f2e0062082 · inbound

Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models cites this paper.

Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 126

Resolution: unresolved; no resolver link, observed 2026-08-10T18:04:34.507504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5d65e6f-ce52-4940-894f-d073327309c7 · inbound

MME-Industry: A Cross-Industry Multimodal Evaluation Benchmark cites this paper.

MME-Industry: A Cross-Industry Multimodal Evaluation Benchmark To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:29.210443Z

Source-reported events for the cited work

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Observation c6280041-f4b1-4ef6-ae4a-877331f0c2b9 · inbound

EVEv2: Improved Baselines for Encoder-Free Vision-Language Models cites this paper.

EVEv2: Improved Baselines for Encoder-Free Vision-Language Models To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-08T14:25:55.910395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d87f0295-6e5f-4975-a7dc-91dd263cd06e · inbound

FLARE: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding cites this paper.

FLARE: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-22T19:52:01.931880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8b9c1474-9b5a-4f77-9bfe-1f1c04b2e7e5 · inbound

Unveiling the Lack of LVLM Robustness to Fundamental Visual Variations: Why and Path Forward cites this paper.

Unveiling the Lack of LVLM Robustness to Fundamental Visual Variations: Why and Path Forward To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T11:01:39.976358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04a819bd-1fc3-4b4d-8bc9-74b786916413 · inbound

Critique Before Thinking: Mitigating Hallucination through Rationale-Augmented Instruction Tuning cites this paper.

Critique Before Thinking: Mitigating Hallucination through Rationale-Augmented Instruction Tuning To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T22:27:46.807706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9fbeeaa-147d-48ab-8af4-d1dc59b836ec · inbound

Seeing Beyond the Scene: Enhancing Vision-Language Models with Interactional Reasoning cites this paper.

Seeing Beyond the Scene: Enhancing Vision-Language Models with Interactional Reasoning To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T21:46:32.670495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 380b9a90-ab99-4a3d-8c4d-52846bee1ac0 · inbound

Instructify: Demystifying Metadata to Visual Instruction Tuning Data Conversion cites this paper.

Instructify: Demystifying Metadata to Visual Instruction Tuning Data Conversion To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T14:37:52.789583Z

Source-reported events for the cited work

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Observation 24283774-8d39-46e8-b0b9-60d9db83d88c · inbound

FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities cites this paper.

FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 136

Resolution: unresolved; no resolver link, observed 2026-08-07T14:05:07.447847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00b24c17-26cc-4e54-9912-f809d9449f77 · inbound

Understand, Think, and Answer: Advancing Visual Reasoning with Large Multimodal Models cites this paper.

Understand, Think, and Answer: Advancing Visual Reasoning with Large Multimodal Models To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:28.020503Z

Source-reported events for the cited work

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Observation 1df6994e-e983-4736-9c96-d1dc5913f244 · inbound

Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought cites this paper.

Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T12:42:26.521528Z

Source-reported events for the cited work

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Observation aa307276-50eb-488a-b3c3-61cad5c90d37 · inbound

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models cites this paper.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:33.198713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 773e5efe-48b2-4f08-824e-8193d0d72480 · inbound

Fast or Slow? Integrating Fast Intuition and Deliberate Thinking for Enhancing Visual Question Answering cites this paper.

Fast or Slow? Integrating Fast Intuition and Deliberate Thinking for Enhancing Visual Question Answering To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T12:02:10.642601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 464049c1-2cff-40ee-a310-a8cab0779050 · inbound

SMAR: Soft Modality-Aware Routing Strategy for MoE-based Multimodal Large Language Models Preserving Language Capabilities cites this paper.

SMAR: Soft Modality-Aware Routing Strategy for MoE-based Multimodal Large Language Models Preserving Language Capabilities To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T06:07:18.730814Z

Source-reported events for the cited work

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Observation 7d658a2d-493f-4c3d-8b4e-c7ef1a5e2a14 · inbound

Pisces: An Auto-regressive Foundation Model for Image Understanding and Generation cites this paper.

Pisces: An Auto-regressive Foundation Model for Image Understanding and Generation To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T04:34:08.755303Z

Source-reported events for the cited work

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Observation 0e37eb4b-4166-45b0-b6df-e75df5fd21a9 · inbound

Advancing Multimodal LLMs by Large-Scale 3D Visual Instruction Dataset Generation cites this paper.

Advancing Multimodal LLMs by Large-Scale 3D Visual Instruction Dataset Generation To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T18:24:53.783559Z

Source-reported events for the cited work

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Observation b970ecbc-9311-4a1b-bd3c-f83feadd74b4 · inbound

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models cites this paper.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-06T16:50:05.174737Z

Source-reported events for the cited work

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Observation 95153f93-0b08-4be7-a40f-5c9f3ef25d0c · inbound

See Different, Think Better: Visual Variations Mitigating Hallucinations in LVLMs cites this paper.

See Different, Think Better: Visual Variations Mitigating Hallucinations in LVLMs To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T12:12:23.689342Z

Source-reported events for the cited work

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Observation 28cd8b76-9dd8-4a98-94ff-bdf1db514fcc · inbound

Metadata Management for AI-Augmented Data Workflows cites this paper.

Metadata Management for AI-Augmented Data Workflows To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T22:35:18.637019Z

Source-reported events for the cited work

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Observation a8d5f0d5-a4b0-4106-a68a-5824764c9cde · inbound

UItron: Foundational GUI Agent with Advanced Perception and Planning cites this paper.

UItron: Foundational GUI Agent with Advanced Perception and Planning To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-05T14:03:38.489435Z

Source-reported events for the cited work

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Observation 97f328e9-a648-4b06-ba86-243fe4c8799c · inbound

Improving Large Vision and Language Models by Learning from a Panel of Peers cites this paper.

Improving Large Vision and Language Models by Learning from a Panel of Peers To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-05T12:27:27.502470Z

Source-reported events for the cited work

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Observation 260f681b-8edd-4671-8ead-82b65f1cc844 · 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 To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-03T04:20:57.669229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ce4d7eb-816a-44b9-acb1-7698013bf443 · inbound

Semantic-Aware Adaptive Visual Memory for Streaming Video Understanding cites this paper.

Semantic-Aware Adaptive Visual Memory for Streaming Video Understanding To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:50:56.484333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0174631a-5b6f-4a47-8001-62f592d94ac9 · inbound

HPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Perception and Reasoning cites this paper.

HPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Perception and Reasoning To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 264

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T06:39:37.498843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2de9cc4a-c6b4-43ab-92a2-701dbd88eb47 · inbound

DataComp-VLM: Improved Open Datasets for Vision-Language Models cites this paper.

DataComp-VLM: Improved Open Datasets for Vision-Language Models To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 295

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:45:47.669670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3bc2e407-a963-4718-b5a0-7862c86e6e55 · inbound

DataComp-VLM: Improved Open Datasets for Vision-Language Models cites this paper.

DataComp-VLM: Improved Open Datasets for Vision-Language Models To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 295

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:17:24.034330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 31f9f1ea-8638-4cf0-88e6-79b6c128692d · inbound

Infinity-Parser2 Technical Report cites this paper.

Infinity-Parser2 Technical Report To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-07-10T17:07:25.769682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 011eca1f-ffd9-45a6-a8a8-4b041fdf3c3c · inbound

Infinity-Parser2 Technical Report cites this paper.

Infinity-Parser2 Technical Report To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T08:03:52.315630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb964605-00b7-4897-b627-d49e8787f565 · inbound

Twins: Learn to Predict Unified Representations with Focal Loss cites this paper.

Twins: Learn to Predict Unified Representations with Focal Loss To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 281

Resolution: unresolved; no resolver link, observed 2026-08-01T04:30:11.620048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39244b89-6a3e-4823-8faa-1fa97e178d37 · inbound

DistMoE: Private-data Rehearsal-free Routing in Mixture-of-Experts for Distributed Instruction Tuning cites this paper.

DistMoE: Private-data Rehearsal-free Routing in Mixture-of-Experts for Distributed Instruction Tuning To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T14:28:03.481999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers