Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown | Paper Citation Record

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This paper cites GPT-4 Technical Report.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown GPT-4 Technical Report

Reference 1

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This paper cites The claude 3 model family: Opus, sonnet, haiku.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown The claude 3 model family: Opus, sonnet, haiku

Reference 2

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This paper cites Qwen2.5-VL Technical Report.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Qwen2.5-VL Technical Report

Reference 3

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This paper cites Towards using semantic-web technologies for multi- modal knowledge graph construction.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Towards using semantic-web technologies for multi- modal knowledge graph construction

Reference 4

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This paper cites Freebase: a collaboratively created graph database for structuring human knowledge.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Freebase: a collaboratively created graph database for structuring human knowledge

Reference 5

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This paper cites Visual RAG: Expanding MLLM visual knowledge without fine-tuning.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Visual RAG: Expanding MLLM visual knowledge without fine-tuning

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This paper cites Wiki-llava: Hierarchical retrieval-augmented genera- tion for multimodal llms.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Wiki-llava: Hierarchical retrieval-augmented genera- tion for multimodal llms

Reference 7

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This paper cites Plan-on-graph: Self-correcting adaptive planning of large language model on knowledge graphs.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Plan-on-graph: Self-correcting adaptive planning of large language model on knowledge graphs

Reference 8

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This paper cites Can VLMs Play Action Role-Playing Games? Take Black Myth Wukong as a Study Case.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Can VLMs Play Action Role-Playing Games? Take Black Myth Wukong as a Study Case

Reference 9

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Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Murag: Multimodal retrieval-augmented genera- tor for open question answering over images and text

Reference 10

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This paper cites Can pre-trained vision and language models answer visual information-seeking questions? In The 2023 Conference on Empirical Methods in Natural Language Processing , 2023.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Can pre-trained vision and language models answer visual information-seeking questions? In The 2023 Conference on Empirical Methods in Natural Language Processing , 2023

Reference 11

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

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 12

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This paper cites Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey

Reference 13

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Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown A survey on multimodal large language models for autonomous driving

Reference 14

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Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 15

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This paper cites KARPA: A Training-free Method of Adapting Knowledge Graph as References for Large Language Model's Reasoning Path Aggregation.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown KARPA: A Training-free Method of Adapting Knowledge Graph as References for Large Language Model's Reasoning Path Aggregation

Reference 16

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This paper cites Imgpedia: a linked dataset with content-based analysis of wikimedia images.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Imgpedia: a linked dataset with content-based analysis of wikimedia images

Reference 17

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This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 18

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This paper cites Hal- lusionbench: An advanced diagnostic suite for entangled language hallucination and visual illusion in large vision- language models.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Hal- lusionbench: An advanced diagnostic suite for entangled language hallucination and visual illusion in large vision- language models

Reference 19

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This paper cites Kat: A knowl- edge augmented transformer for vision-and-language.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Kat: A knowl- edge augmented transformer for vision-and-language

Reference 20

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This paper cites Multi-modal entity alignment in hyperbolic space.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Multi-modal entity alignment in hyperbolic space

Reference 21

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This paper cites G-retriever: Retrieval-augmented generation for textual graph understanding and question answering.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown G-retriever: Retrieval-augmented generation for textual graph understanding and question answering

Reference 22

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This paper cites Relation-aware graph attention networks with rela- tional position encodings for emotion recognition in conver- sations.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Relation-aware graph attention networks with rela- tional position encodings for emotion recognition in conver- sations

Reference 23

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This paper cites A survey on knowledge graphs: Represen- tation, acquisition, and applications.TNNLS, 33(2):494–514,.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown A survey on knowledge graphs: Represen- tation, acquisition, and applications.TNNLS, 33(2):494–514,

Reference 24

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Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Retrieval and reasoning on kgs: Integrate knowledge graphs into large language models for complex question answering

Reference 25

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Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Structgpt: A general framework for large language model to reason over struc- tured data

Reference 26

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Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Mm- chatalign: A novel multimodal reasoning framework based on large language models for entity alignment

Reference 27

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Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Large language models on graphs: A compre- hensive survey

Reference 28

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Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Visual genome: Connecting language and vision using crowdsourced dense image annotations

Reference 29

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Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Multi- modal reasoning with multimodal knowledge graph

Reference 30

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Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Multi-modal knowledge graph transformer framework for multi-modal entity alignment

Reference 31

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Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling

Reference 32

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Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent

Reference 33

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Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Retrieval augmented visual ques- tion answering with outside knowledge

Reference 34

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Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Mmkg: multi-modal knowledge graphs

Reference 35

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Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Ovis: Structural Embedding Alignment for Multimodal Large Language Model

Reference 36

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Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models

Reference 37

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Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown A survey on knowledge-enhanced multimodal learning

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Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Video-language understanding: A survey from model architecture, model training, and data perspec- tives

Reference 39

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Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Graph Retrieval-Augmented Generation: A Survey

Reference 40

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Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Vlc-bert: Visual question answering with contextualized commonsense knowledge

Reference 41

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Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown A-okvqa: A benchmark for visual question answering using world knowl- edge

Reference 42

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Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Unresolved cited work

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Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Hy- brid rag-empowered multi-modal llm for secure data man- agement in internet of medical things: A diffusion-based contract approach

Reference 44

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This paper cites Think-on-graph: Deep and responsible reasoning of large language model on knowledge graph.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Think-on-graph: Deep and responsible reasoning of large language model on knowledge graph

Reference 45

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This paper cites Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents

Reference 46

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

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Gemini: A Family of Highly Capable Multimodal Models

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This paper cites Direct: Diagnostic rea- soning for clinical notes via large language models.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Direct: Diagnostic rea- soning for clinical notes via large language models

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Observation e76457f8-1bca-44fc-8bc6-50c2ab9f2b55 · outbound

This paper cites Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T19:10:13.908947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cefcf86-99c9-4ab5-940a-c8dbc938a6a6 · outbound

This paper cites InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T19:10:13.912798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aa006bd-99c2-4a22-985a-5b7b306caae2 · outbound

This paper cites M-RAG: Reinforcing large language model perfor- mance through retrieval-augmented generation with multiple partitions.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown M-RAG: Reinforcing large language model perfor- mance through retrieval-augmented generation with multiple partitions

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:10:14.413668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 72a70d96-f077-496c-b068-d1b053dec68a · outbound

This paper cites DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T19:10:13.921597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6779aefb-2de5-477e-a18d-04a0cc322b0e · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T19:10:13.925562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b7a0dd6-9799-468d-b407-e8b56445b150 · outbound

This paper cites A Survey on Multimodal Large Language Models.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown A Survey on Multimodal Large Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T19:10:13.930142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f61a2a9c-7f61-419d-99ff-8ccbc3bc8ad3 · outbound

This paper cites Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for ex- pert agi.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for ex- pert agi

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:10:14.401150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c562ad1e-5d4a-42c5-bea7-165a3fba6fcc · outbound

This paper cites Multi- modal knowledge hypergraph for diverse image retrieval.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Multi- modal knowledge hypergraph for diverse image retrieval

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:10:14.388957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4099f54c-7d43-41be-a9bf-6c329947d266 · outbound

This paper cites Retrieval-Augmented Generation for AI-Generated Content: A Survey.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Retrieval-Augmented Generation for AI-Generated Content: A Survey

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T19:10:13.942245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae885bc0-cf0a-4a8b-8bce-afe8cc5c5c3a · outbound

This paper cites Retrieving multimodal information for augmented generation: A survey.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Retrieving multimodal information for augmented generation: A survey

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:10:14.376609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 57d6434a-dc56-4d44-86ed-6a763de80b4f · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T19:10:13.951649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c301896a-8510-401d-a270-1584c7335e8c · outbound

This paper cites Multi-modal knowledge graph construction and ap- plication: A survey.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Multi-modal knowledge graph construction and ap- plication: A survey

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:10:14.357293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 47139452-540c-4617-91d1-62b58e68950d · outbound

This paper cites Multimodal Retrieval Augmented Generation 2 2.2.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Multimodal Retrieval Augmented Generation 2 2.2

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:10:14.345504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 71db8ab2-cb9c-4f97-b012-096f8ad54fe5 · outbound

This paper cites an unresolved cited work.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:10:14.332121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 87a6a7bd-9e5f-4126-ae33-a8615a825850 · outbound

This paper cites Multi-agents Retriever.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Multi-agents Retriever

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:10:14.318273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 62ef26d0-83b2-49c8-9e19-5e1a5bbcc10d · outbound

This paper cites Experimental Settings.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Experimental Settings

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:10:14.305370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d7e08227-cce5-4915-bf30-0c3719e19ee3 · outbound

This paper cites an unresolved cited work.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:10:14.291984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 02440864-295d-4e56-bcaf-9cf7d8e98065 · outbound

This paper cites Prompt Template for Our Method.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Prompt Template for Our Method

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:10:14.279630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5936bccf-522b-4979-8bc7-419508361e05 · outbound

This paper cites has attack action of.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown has attack action of

Reference 67

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T19:10:14.266891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c61610af-d9d5-4630-847d-54fc3b0fc3c0 · outbound

This paper cites Frostfang Barioth.

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown Frostfang Barioth

Reference 68

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T19:10:14.254563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers