Paper Citation Record · LEDGER

ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2502.18017.

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

pith.paper-citation-record.v1
2502.18017 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:15:14.645618Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:37:25.391274Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 730ca13a-ab2c-4098-8b4f-a6b58da94eb0 · inbound

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T02:57:37.984360Z

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 12d621b3-7f5d-449b-93fb-5e3b29d0dc25 · inbound

MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability cites this paper.

MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:16.830553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 056425ae-5ace-4508-a89e-5f31bb5c7e35 · inbound

VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning cites this paper.

VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T13:24:53.442043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b9cabd8-ade0-4f3d-860f-c9e3128ad341 · inbound

MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents cites this paper.

MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T20:18:58.053520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cbf5f85-c8b1-4fce-a48e-2d61d87c3c8c · inbound

TextlessRAG: End-to-End Visual Document RAG by Speech Without Text cites this paper.

TextlessRAG: End-to-End Visual Document RAG by Speech Without Text ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T22:06:13.857070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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 37e1f4db-7dc6-4768-801c-fb224e549c6f · inbound

SlideAgent: Hierarchical Agentic Framework for Multi-Page Visual Document Understanding cites this paper.

SlideAgent: Hierarchical Agentic Framework for Multi-Page Visual Document Understanding ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-04T07:21:32.416161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c853895-867c-4f39-bcff-946aa70b7406 · inbound

GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of Thoughts cites this paper.

GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of Thoughts ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:58:04.032094Z

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 abafe370-d164-4aaa-a5ea-aae9a7ffed09 · 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 ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-03T04:20:57.766049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea9e8425-06f3-48d4-850e-d1033f0ac2b2 · inbound

Visual Late Chunking: An Empirical Study of Contextual Chunking for Efficient Visual Document Retrieval cites this paper.

Visual Late Chunking: An Empirical Study of Contextual Chunking for Efficient Visual Document Retrieval ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:31:04.231537Z

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 7972feea-ab6e-4b44-a9fc-a2bcba254938 · inbound

Test-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and Reasoning cites this paper.

Test-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and Reasoning ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:37:25.392993Z

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 75ad234d-2012-492a-a0f7-a1d136cadeeb · 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 ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-31T00:05:16.861103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1677b059-8013-452e-ba88-1a3b169ba5a2 · inbound

M$^3$Prune: Hierarchical Collaborative Pruning for Efficient Multi-Modal Multi-Agent Retrieval-Augmented Generation cites this paper.

M$^3$Prune: Hierarchical Collaborative Pruning for Efficient Multi-Modal Multi-Agent Retrieval-Augmented Generation ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T20:15:14.645618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.