Paper Citation Record · LEDGER

Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2411.02937.

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

pith.paper-citation-record.v1
2411.02937 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:18:35.368071Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T12:46:14.767657Z

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 550f7969-4a7f-4b02-ac52-1ef92cd0ac12 · inbound

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

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T02:57:37.988588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ed4109fe-33d6-4f04-999b-105e8fe8bbca · inbound

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

Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-19T13:52:19.934933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bf4c79f0-08e5-4ae4-9fb8-731fff0b5e2b · inbound

MMAT-1M: A Large Reasoning Dataset for Multimodal Agent Tuning cites this paper.

MMAT-1M: A Large Reasoning Dataset for Multimodal Agent Tuning Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T12:18:35.368071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fbbc229-9371-434f-a9e4-71c07f11bed7 · inbound

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent

Reference 198

Resolution: verified exact; arxiv_id, observed 2026-05-14T23:13:15.399103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b5310763-07f4-431a-896a-46ecef1106f1 · inbound

Agentic Reasoning for Large Language Models cites this paper.

Agentic Reasoning for Large Language Models Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent

Reference 183

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.163701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7771c9b3-f65b-4fdc-bfa2-7e170008b5db · inbound

GeoBrowse: A Geolocation Benchmark for Agentic Tool Use with Expert-Annotated Reasoning Traces cites this paper.

GeoBrowse: A Geolocation Benchmark for Agentic Tool Use with Expert-Annotated Reasoning Traces Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:33:02.329561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e15fc6f3-73ab-462d-b775-f7a54c3ba348 · inbound

RefereeBench: Are Video MLLMs Ready to be Multi-Sport Referees cites this paper.

RefereeBench: Are Video MLLMs Ready to be Multi-Sport Referees Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:48:02.260942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a10d784c-2589-41ba-8ab7-30532fa8f61f · inbound

SVFSearch: A Multimodal Knowledge-Intensive Benchmark for Short-Video Frame Search in the Gaming Vertical Domain cites this paper.

SVFSearch: A Multimodal Knowledge-Intensive Benchmark for Short-Video Frame Search in the Gaming Vertical Domain Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:13:12.004207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 94849dc2-808b-4216-b583-4852c2714fc1 · inbound

SVFSearch: A Multimodal Knowledge-Intensive Benchmark for Short-Video Frame Search in the Gaming Vertical Domain cites this paper.

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:49:53.466811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 783275a7-558a-4db4-92fc-68172424e532 · inbound

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG cites this paper.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-09T12:46:14.769940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8f039ed9-ffd1-494d-82cb-b86c79a8d21b · inbound

SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration cites this paper.

SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-01T23:46:25.697110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.