DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark | Paper Citation Record

Observation 500c7a15-be78-4c40-aafa-575d873bcbe6 · outbound

This paper cites an unresolved cited work.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 1

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This paper cites Phi-4 Technical Report.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Phi-4 Technical Report

Reference 2

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark GPT-4 Technical Report

Reference 3

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This paper cites Qwen2.5-VL Technical Report.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Qwen2.5-VL Technical Report

Reference 4

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This paper cites an unresolved cited work.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 5

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This paper cites PaliGemma: A versatile 3B VLM for transfer.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark PaliGemma: A versatile 3B VLM for transfer

Reference 6

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This paper cites an unresolved cited work.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 7

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This paper cites STAIR: Learning Sparse Text and Image Representation in Grounded Tokens.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark STAIR: Learning Sparse Text and Image Representation in Grounded Tokens

Reference 8

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Observation bf362f8e-d234-4a98-8831-a1e6a46e5754 · outbound

This paper cites Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading

Reference 9

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This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 10

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 11

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This paper cites M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework

Reference 12

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 13

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This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 14

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This paper cites an unresolved cited work.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 15

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This paper cites PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering

Reference 16

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Observation 5a1d48ca-c655-4bcb-9f33-962ac67bcaf7 · outbound

This paper cites arXiv preprint arXiv:2501.08828 , year=.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark arXiv preprint arXiv:2501.08828 , year=

Reference 17

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This paper cites Benchmarking retrieval-augmented multimodal generation for document question answering.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Benchmarking retrieval-augmented multimodal generation for document question answering

Reference 18

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This paper cites an unresolved cited work.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 19

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 20

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 21

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 22

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This paper cites jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval

Reference 23

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This paper cites Generative reasoning recommendation via LLMs.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Generative reasoning recommendation via LLMs

Reference 24

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Tensorized Embedding Layers for Efficient Model Compression

Reference 25

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This paper cites Vela: Scalable Embeddings with Voice Large Language Models for Multimodal Retrieval.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Vela: Scalable Embeddings with Voice Large Language Models for Multimodal Retrieval

Reference 26

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This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 27

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This paper cites VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks

Reference 28

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 29

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Meta-Task Prompting Elicits Embeddings from Large Language Models

Reference 30

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 31

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This paper cites Making large language models a better foundation for dense retrieval.arXiv preprint arXiv:2312.15503.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Making large language models a better foundation for dense retrieval.arXiv preprint arXiv:2312.15503

Reference 32

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This paper cites MRG-Bench: Evaluating and Exploring the Requirements of Context for Repository-Level Code Generation.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark MRG-Bench: Evaluating and Exploring the Requirements of Context for Repository-Level Code Generation

Reference 33

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 34

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 35

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs

Reference 36

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 37

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This paper cites LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking

Reference 38

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark NLTK: The Natural Language Toolkit

Reference 39

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 40

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Observation 08bd6d17-a151-41f3-9933-7a766efe246d · outbound

This paper cites an unresolved cited work.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 43

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This paper cites Unifying Multimodal Retrieval via Document Screenshot Embedding.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unifying Multimodal Retrieval via Document Screenshot Embedding

Reference 44

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Observation 4d4608b8-b9b3-4689-bd9c-51a078a89607 · outbound

This paper cites MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations

Reference 45

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This paper cites Vidore benchmark v2: Raising the bar for visual retrieval.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Vidore benchmark v2: Raising the bar for visual retrieval

Reference 46

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This paper cites Sparse Meets Dense: A Hybrid Approach to Enhance Scientific Document Retrieval.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Sparse Meets Dense: A Hybrid Approach to Enhance Scientific Document Retrieval

Reference 47

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 48

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 49

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Multimodal Learned Sparse Retrieval for Image Suggestion

Reference 50

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This paper cites Document Ranking with a Pretrained Sequence-to-Sequence Model.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:13:14.976444Z

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Observation e726be4a-985e-47da-951e-55436eea9368 · outbound

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 52

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 53

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Observation 92bfcfdd-0ba7-43e4-a7fa-37e9c6103a45 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:13:15.148673Z

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Observation 8b13b5bc-8e34-415c-a99c-a1d96b7cf135 · outbound

This paper cites an unresolved cited work.

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Reference 55

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Observation e60985d9-c7c5-4829-aa84-8c6a1170b20e · outbound

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Reference 56

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This paper cites LLMs are Also Effective Embedding Models: An In-depth Overview.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark LLMs are Also Effective Embedding Models: An In-depth Overview

Reference 57

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Observation 31dbcdb3-0329-4f2c-b88f-e038df581722 · outbound

This paper cites GenEOL: Harnessing the Generative Power of LLMs for Training-Free Sentence Embeddings.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark GenEOL: Harnessing the Generative Power of LLMs for Training-Free Sentence Embeddings

Reference 58

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9a005a2c-f718-4680-9db1-0ff50c2e3cdb · outbound

This paper cites The information bottleneck method.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark The information bottleneck method

Reference 59

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Observation 7c080bb8-08b8-43d1-8111-d5cae3be3d57 · outbound

This paper cites an unresolved cited work.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 60

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Observation 2d7d7ade-0aaa-4b98-9740-421552a11adf · outbound

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark LLaMA: Open and Efficient Foundation Language Models

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:13:15.072757Z

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Observation 0dd2ce1b-603e-4fdf-87c2-e7468004d944 · outbound

This paper cites an unresolved cited work.

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Reference 62

Resolution: unresolved; no resolver link, observed 2026-06-29T08:09:41.068000Z

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Observation d82142f4-d416-4f39-ba8e-8d614edc7215 · outbound

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 63

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Observation cfabc26a-1cbe-405c-9ce4-251103c59f91 · outbound

This paper cites Multilingual E5 Text Embeddings: A Technical Report.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Multilingual E5 Text Embeddings: A Technical Report

Reference 64

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 42774739-4a4d-4b5c-8cb8-9875d7bfebe5 · outbound

This paper cites an unresolved cited work.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 65

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Unavailable: canonical work link unavailable.

Observation f4a82251-a891-42f7-9423-0c99758d1a55 · outbound

This paper cites an unresolved cited work.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 66

Resolution: unresolved; no resolver link, observed 2026-06-29T08:09:41.068000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 752b3c79-525c-423e-acb4-c84caa3af967 · outbound

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:13:15.049941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 29b08346-65b9-4845-8d34-959286f59cf0 · outbound

This paper cites Qwen3 Technical Report.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Qwen3 Technical Report

Reference 68

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:13:15.041342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3accc2d7-3a5d-4de5-a34d-098d56a6c592 · outbound

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:13:15.121448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8b36564a-34cc-4c0e-9463-6cc5d271a5c3 · outbound

This paper cites an unresolved cited work.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 70

Resolution: unresolved; no resolver link, observed 2026-06-29T08:09:41.068000Z

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Unavailable: canonical work link unavailable.

Observation 93eeb5b9-e0ea-4916-b6ea-837d5e611e1e · outbound

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:13:15.069707Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c51710ef-56c1-4ed1-aac2-bded1f3ad6ce · outbound

This paper cites Multi-View Document Representation Learning for Open-Domain Dense Retrieval.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Multi-View Document Representation Learning for Open-Domain Dense Retrieval

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:13:15.064158Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7f58713a-f268-4438-9612-ab4b53bd6cc4 · outbound

This paper cites an unresolved cited work.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 73

Resolution: unresolved; no resolver link, observed 2026-06-29T08:09:41.068000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e67b7fdb-bf5e-4b11-99ce-cb941a2b59c2 · outbound

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DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:13:15.102050Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 24bec0e6-ce15-4b33-a33f-96e0c13e9e87 · outbound

This paper cites Mr 2-bench: Going beyond match- ing to reasoning in multimodal retrieval.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Mr 2-bench: Going beyond match- ing to reasoning in multimodal retrieval

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:13:15.084576Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b401ebef-7684-4fbe-8e19-e56b5142d7b8 · outbound

This paper cites Visual In-Context Learning for Large Vision-Language Models.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Visual In-Context Learning for Large Vision-Language Models

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:13:15.075880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bb19330f-fe17-482f-923c-024ecac96d75 · outbound

This paper cites an unresolved cited work.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 77

Resolution: unresolved; no resolver link, observed 2026-06-29T08:09:41.068000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ecf35fa-97f3-48b7-a6ab-f183374edb53 · outbound

This paper cites an unresolved cited work.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 78

Resolution: unresolved; no resolver link, observed 2026-06-29T08:09:41.068000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 473b21b9-0573-41d2-85c4-bb8abb8c3811 · outbound

This paper cites PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:13:15.087365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8f07fea5-2c84-4a75-ac71-8f5e174c22be · outbound

This paper cites an unresolved cited work.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Unresolved cited work

Reference 80

Resolution: unresolved; no resolver link, observed 2026-06-29T08:09:41.068000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2045e6cb-9c90-4e50-b64d-2a8b5d9aa46d · outbound

This paper cites DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems

Reference 81

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers