Paper Citation Record · LEDGER

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation

As of 9 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 3 inbound Pith citation observations for arXiv:2510.09733.

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

pith.paper-citation-record.v1
2510.09733 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:40:45.271374Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:26:30.298761Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T06:11:03.314967Z

Reference resolution

41 of 41 outbound references displayed

verified exact0
verified fuzzy0
unresolved40
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f676318-d5c5-4301-b671-27ab49a04525 · outbound

This paper cites OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:40.003421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13273786-95f4-447f-b371-5cd1191bf618 · outbound

This paper cites ColPali: Efficient Document Retrieval with Vision Language Models.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation ColPali: Efficient Document Retrieval with Vision Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:40.158449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18f4960a-efbd-4a31-8668-efc10eade051 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:40.340433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db067711-b5e6-41fa-8bca-fe48a7ebde2d · outbound

This paper cites Sufficient context: A new lens on retrieval augmented generation systems.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation Sufficient context: A new lens on retrieval augmented generation systems

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:40.397585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b112fef-c78b-471e-a5ac-e9abc202bd2f · outbound

This paper cites Retrieval-augmented gener- ation for knowledge-intensive NLP tasks.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation Retrieval-augmented gener- ation for knowledge-intensive NLP tasks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:40.511860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc1e5cb2-075b-41e1-b5c1-d43d63842083 · outbound

This paper cites More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:40.740096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1af78be-1a98-4ab4-9aa8-268e8e5f965b · outbound

This paper cites MMLONGBENCH-DOC: benchmarking long-context document understanding with visualizations.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation MMLONGBENCH-DOC: benchmarking long-context document understanding with visualizations

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:40.812295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bbdaa40-42cb-4216-9af5-abf927a224a0 · outbound

This paper cites Chartqa: A bench- mark for question answering about charts with visual and logical reasoning.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation Chartqa: A bench- mark for question answering about charts with visual and logical reasoning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:40.888511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52aa5362-0795-4a85-8fe7-7dc7265b75d2 · outbound

This paper cites MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:41.087844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc0df9de-a0b7-4b51-b1f2-12b2f71ac1f1 · outbound

This paper cites Compositional chain-of- thought prompting for large multimodal models.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation Compositional chain-of- thought prompting for large multimodal models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:41.185656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dd9a68c-cf7a-486b-a568-c69818d463ae · outbound

This paper cites Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:41.255247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bf37899-8192-4252-b32b-46004f9abf72 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation Direct preference optimization: Your language model is secretly a reward model

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:41.370251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50481eac-6e75-479f-bb53-dabbba35c617 · outbound

This paper cites VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:41.865785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b894b856-43a3-4224-b398-0ba3694c7389 · outbound

This paper cites R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:42.001140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89dc95ed-2c01-4b09-84bc-c5f9d8f5d052 · outbound

This paper cites Slidevqa: A dataset for document visual question answering on multiple images.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation Slidevqa: A dataset for document visual question answering on multiple images

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:42.115895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52d1dcbe-62e6-40ed-b846-3e4e07250478 · outbound

This paper cites ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:42.255954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd68caac-9f0d-4ae3-90d8-da8961af88f8 · outbound

This paper cites MMSearch-R1: Incentivizing LMMs to Search.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation MMSearch-R1: Incentivizing LMMs to Search

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:42.435539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f71a09d5-6d54-4b7c-8b97-ee11e5773ca8 · outbound

This paper cites MiMo-VL Technical Report.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation MiMo-VL Technical Report

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:42.595790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2def8d7a-dddd-4ee8-9c4d-dc480f652b25 · outbound

This paper cites Visrag: Vision-based retrieval-augmented generation on multi- modality documents.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation Visrag: Vision-based retrieval-augmented generation on multi- modality documents

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:42.850592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b41ac04a-da97-4869-a536-9d821f622145 · outbound

This paper cites Vision-R1: Evolving Human-Free Alignment in Large Vision-Language Models via Vision-Guided Reinforcement Learning.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation Vision-R1: Evolving Human-Free Alignment in Large Vision-Language Models via Vision-Guided Reinforcement Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:42.936784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd670699-7307-452d-85fd-260683163256 · outbound

This paper cites CoCoT: Contrastive Chain-of-Thought Prompting for Large Multimodal Models with Multiple Image Inputs.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation CoCoT: Contrastive Chain-of-Thought Prompting for Large Multimodal Models with Multiple Image Inputs

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:43.075026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 375cf03b-0826-4779-8034-58bf37bed387 · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:43.207178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6b1a08a-4ce9-46ab-b18e-edb10fcb4c80 · outbound

This paper cites Each dataset provides ground-truth answer image IDs.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation Each dataset provides ground-truth answer image IDs

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:43.381867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4443730-2d6f-4012-8e8a-009db839392a · outbound

This paper cites During the retrieval stage, VisRAG-Ret retrieves the top five can- didate images for each query.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation During the retrieval stage, VisRAG-Ret retrieves the top five can- didate images for each query

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:43.560240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d16caa28-0fc5-4fea-a0be-c7bbb885efbe · outbound

This paper cites aha moments.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation aha moments

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:43.728043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d8ed55e-988c-4eef-90c3-d35a44a09daf · outbound

This paper cites General VLMs.We assessed general vision-language models across different scales, namely Qwen2.5-VL-7B and Qwen2.5-VL-32B (Bai et al., 2025), as well as MiMo-VL-7B-RL (Xiaomi, 2025).

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation General VLMs.We assessed general vision-language models across different scales, namely Qwen2.5-VL-7B and Qwen2.5-VL-32B (Bai et al., 2025), as well as MiMo-VL-7B-RL (Xiaomi, 2025)

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:43.914660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92965a41-cff5-4a4c-a3a4-f2e16949db08 · outbound

This paper cites Why Young Americans are Driving So Much Less Than Their Parents.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation Why Young Americans are Driving So Much Less Than Their Parents

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:44.070405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41a13791-1866-43c8-a364-ace509891717 · outbound

This paper cites This image contains the information needed to identify the country and its major languages.Image 2 is the China Fact Sheet.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation This image contains the information needed to identify the country and its major languages.Image 2 is the China Fact Sheet

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:44.588079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6372b211-81ff-4845-95b4-c133ed76e65c · outbound

This paper cites an unresolved cited work.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:44.716986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bffc8a2f-b688-4e97-9854-2f432258b54f · outbound

This paper cites an unresolved cited work.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:44.859949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ee18de2-282a-4466-83d0-a5c95369e45e · outbound

This paper cites an unresolved cited work.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation Unresolved cited work

Reference 39

Resolution: parse uncertain; no resolver link, observed 2026-08-04T10:40:45.012731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffc2d9ef-4a2a-4a8e-a209-4dd6e57e6e02 · outbound

This paper cites These languages are Mandarin, Yue (Cantonese), Wu (Shanghainese), Minbei(Fuzhou), Minnan (Hokkien-Taiwanese), Xiang, and Gan.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation These languages are Mandarin, Yue (Cantonese), Wu (Shanghainese), Minbei(Fuzhou), Minnan (Hokkien-Taiwanese), Xiang, and Gan

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:45.142116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9c3c62b-efab-4f47-aa01-b93e1b0ed4d1 · outbound

This paper cites an unresolved cited work.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation Unresolved cited work

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:45.271374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae741f1b-d388-4662-8b9b-1bc7054fd425 · outbound

This paper cites yes" or.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation yes" or

Reference 1997

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:44.384744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe31c3db-833c-4e61-b948-75c84f96beb5 · outbound

This paper cites Why Young Americans Are Driving So Much Less Than Their Parents.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation Why Young Americans Are Driving So Much Less Than Their Parents

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:44.210080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27b4a6d3-525d-4e6c-aa8a-d60657cf72bb · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:41.676641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f9ef482-114f-4fb3-99e0-b3ffb326e293 · outbound

This paper cites Search-o1: Agentic Search-Enhanced Large Reasoning Models.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation Search-o1: Agentic Search-Enhanced Large Reasoning Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:40.583884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b1dbc2d-de7f-4284-ae36-ce4007a7ac8c · outbound

This paper cites Infographicvqa.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation Infographicvqa

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:40.976385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9277bbb-9f91-4800-83d6-38035ce912e4 · outbound

This paper cites Proximal Policy Optimization Algorithms.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation Proximal Policy Optimization Algorithms

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:41.495917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a25c138-4432-4899-9b93-a37674037146 · outbound

This paper cites Qwen2.5-VL Technical Report.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation Qwen2.5-VL Technical Report

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:39.822350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3092fd19-e853-46fa-a63f-510b2ef40d08 · outbound

This paper cites github.io/blog/2025/Polaris.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation github.io/blog/2025/Polaris

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:39.676363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 8314f735-3cd5-4026-a69b-37eb60ce1769 · inbound

VISOR: Agentic Visual Retrieval-Augmented Generation via Iterative Search and Over-horizon Reasoning cites this paper.

VISOR: Agentic Visual Retrieval-Augmented Generation via Iterative Search and Over-horizon Reasoning VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-29T02:25:09.242061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c5b73bbf-e22c-4165-9cb5-f1312655973b · inbound

VLD-RAG: Agentic Vision-Language Retrieval-Augmented Generation for Long, Visually-Rich Multi-Page Documents cites this paper.

VLD-RAG: Agentic Vision-Language Retrieval-Augmented Generation for Long, Visually-Rich Multi-Page Documents VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation

Reference 1166

Resolution: unresolved; no resolver link, observed 2026-08-02T13:26:30.298761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c1c64e5-43e1-4b3d-936e-77c1ad65fa16 · inbound

HiEviDR-Bench: A Benchmark for Hierarchical Evidence Aggregation in Deep Research cites this paper.

HiEviDR-Bench: A Benchmark for Hierarchical Evidence Aggregation in Deep Research VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-31T00:05:16.817803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.