Paper Citation Record · LEDGER

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG

As of 21 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.07383.

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

pith.paper-citation-record.v1
2607.07383 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-09T12:37:07.906342Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

verified exact4
verified fuzzy17
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch13

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5d91ae95-461a-49e1-8c3c-44b9c2ce2a74 · outbound

This paper cites GPT-4 Technical Report.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG GPT-4 Technical Report

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T12:46:14.765166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ec7894f3-faba-45db-ba3a-bba82dc08614 · outbound

This paper cites Qwen3-VL Technical Report.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG Qwen3-VL Technical Report

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T12:46:14.759355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ee06485f-3381-4cdf-9391-3033259dd577 · outbound

This paper cites Qwen2.5-VL Technical Report.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG Qwen2.5-VL Technical Report

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-09T12:46:14.751636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4cfb565a-3962-433d-beff-a26396fa208a · outbound

This paper cites beyond token-level answer equivalence for question answering evaluation.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG beyond token-level answer equivalence for question answering evaluation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:46:15.204880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3af83dff-be2a-4dec-bf69-bb1bea222e13 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:46:15.196989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f56fa6e3-50b1-4e5c-8228-133ce78c0833 · outbound

This paper cites an unresolved cited work.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-07-09T12:46:15.199641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 628bae08-3e53-480f-9e3a-88b06f65304b · outbound

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

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T12:46:14.771914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1a3b645b-745d-49db-9b6d-b758a49dabf0 · outbound

This paper cites Reag: Reasoning-augmented generation for knowledge-based visual question answering.arXiv preprint arXiv:2511.22715.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG Reag: Reasoning-augmented generation for knowledge-based visual question answering.arXiv preprint arXiv:2511.22715

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-09T12:46:14.764922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 949c4bea-5b82-4f1c-a04b-31a0dcd0e682 · outbound

This paper cites Advances in neural information processing systems36, 49250–49267 (2023).

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG Advances in neural information processing systems36, 49250–49267 (2023)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:46:15.201986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1d051e8c-c59f-42d0-8205-d9a2848b8404 · outbound

This paper cites In: Proceedings of the 31st In- ternational Conference on Computational Linguistics.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG In: Proceedings of the 31st In- ternational Conference on Computational Linguistics

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:46:15.206976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2948cc50-d310-4f3d-bbcb-78b4eda4a913 · outbound

This paper cites IEEE Transactions on Big Data (2025).

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG IEEE Transactions on Big Data (2025)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:46:15.194185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b5db372a-2034-4dd7-b383-644ad5cd9462 · outbound

This paper cites Knowledge-based visual question answering with multimodal processing, retrieval, and filtering.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG Knowledge-based visual question answering with multimodal processing, retrieval, and filtering

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-07-09T12:46:14.762742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6676a6fd-cf1e-431f-be61-9b6cec81c504 · outbound

This paper cites In: European Conference on Information Retrieval.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG In: European Conference on Information Retrieval

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:46:15.219770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6df9c7fa-d4c5-42c6-8454-06b73beeadb1 · outbound

This paper cites In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:46:15.231390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6892cca0-7e4e-44b9-9c56-42b8d30b1276 · outbound

This paper cites In: International conference on machine learning.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG In: International conference on machine learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:46:15.233128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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

This paper cites Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent.

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 2026-08-21T06:32:19.484+00:00.

Observation 2f13ffeb-edda-44e5-a12c-850ce2bc7b21 · outbound

This paper cites In: Proceedings of the 2022 conference on empirical methods in natural language processing.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG In: Proceedings of the 2022 conference on empirical methods in natural language processing

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:46:15.221773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 09d87cb8-cc75-4802-919f-8807b98da213 · outbound

This paper cites MMKB-RAG: A Multi-Modal Knowledge-Based Retrieval-Augmented Generation Framework.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG MMKB-RAG: A Multi-Modal Knowledge-Based Retrieval-Augmented Generation Framework

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T12:46:14.737152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cf2a7b76-f40d-4573-a689-963f1dd2d14a · outbound

This paper cites In: Proceedings of the IEEE/cvf conference on computer vision and pattern recognition.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG In: Proceedings of the IEEE/cvf conference on computer vision and pattern recognition

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:46:15.223831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f469b75e-5354-4f16-a467-aad27acf2e3c · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:46:15.229563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e4e67ec2-6152-4233-82a5-b89bc12dce78 · outbound

This paper cites RoRA-VLM: Robust Retrieval-Augmented Vision Language Models.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG RoRA-VLM: Robust Retrieval-Augmented Vision Language Models

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T12:46:14.743081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f6ce131b-e260-47d4-a1f0-f80f8f38e0da · outbound

This paper cites an unresolved cited work.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-07-09T12:46:15.225694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 33add6be-8dd3-43db-a571-ee233ecccfac · outbound

This paper cites In: European conference on computer vision.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG In: European conference on computer vision

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:46:15.227559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ec609459-b3f5-43a4-bf44-6d645320178e · outbound

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

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T12:46:14.730690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e4d06c78-5522-4f7d-b52c-aedd29958248 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG HybridFlow: A Flexible and Efficient RLHF Framework

Reference 25

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T12:46:14.734538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fe109f22-154c-457c-b6c0-768dcc4566e4 · outbound

This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG EVA-CLIP: Improved Training Techniques for CLIP at Scale

Reference 26

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T12:46:14.756504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b85f883b-5bb7-46ec-9a29-0b6eceb9ae9c · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:46:15.219915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 98f7c7bb-4d93-47b5-af46-e5362e668533 · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T12:46:14.759783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 98ad3543-849d-40aa-9e24-b00452cf49e0 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:46:15.218064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 641cd9fc-40c1-475b-b9c1-50db348e4452 · outbound

This paper cites Towards General Continuous Memory for Vision-Language Models.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG Towards General Continuous Memory for Vision-Language Models

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T12:46:14.736176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4e79711c-85ae-4862-b5ad-00a4189c837a · outbound

This paper cites In: Findings of the Association for Computational Linguistics: EMNLP 2024.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG In: Findings of the Association for Computational Linguistics: EMNLP 2024

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:46:15.213757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4280c80c-3cda-4323-99ef-b5aa9646c014 · outbound

This paper cites arXiv e-prints pp.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG arXiv e-prints pp

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:46:15.211879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 88e50fc7-e539-4784-9a98-2fd296b051ca · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 33

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T12:46:14.772481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 328e340f-89b6-4e30-ac98-411b830a8183 · outbound

This paper cites mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generation for Knowledge-intensive VQA.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generation for Knowledge-intensive VQA

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-07-09T12:46:14.762095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 395854be-a5e3-4ed6-8588-6127ed3a8f3d · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:46:15.216274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aa6dbd07-ebad-41b7-b8e4-c04f6228adb9 · outbound

This paper cites mR$^2$AG: Multimodal Retrieval-Reflection-Augmented Generation for Knowledge-Based VQA.

MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG mR$^2$AG: Multimodal Retrieval-Reflection-Augmented Generation for Knowledge-Based VQA

Reference 36

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T12:46:14.750625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.