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Paper Citation Record · LEDGER

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

As of 13 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 2026-08-13T06:32:02.005865+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

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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 2026-08-13T06:32:02.005865+00:00.

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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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:5a42ed9d1f5b8d1dd51d7ca3e9dc6fcefbc7b44ca9b6a60a476e529b35842f49

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:ab6a9527f9b35ac51c2e3241a25e37615f0b20a8950a901f9241c6091f8c495e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:ebd4f3de9147991e3d53a66f0a49b3c8b540c2ae88286e513cf424da60e9fb33

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:262a20e215e4e88cbac94c3d69ac41053232fa4db212b03680f79edfe651ddd3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:59dfd7ab4dd1782a88e1aa26c51fe6a0a8a99d14eca17803468e7fa8d37dfab6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:379f6530524ddf48776662a0dcde2aea8783a7097eff02b44491b081824377de

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:4b515773e21f0c9b350b9614563dfe68464af6b34063b5fd9164c24b47323435

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:0d76ea220e12dafa15c6ea582b85e7cf875c43a3222f3e74df3eeeae9939edd1

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:dea6c2ac3aae141d3f1a5991e47e1b051e31aaee3ef46046ba0bf0c5af50c801

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:5a2e7a96f0ca791dba2d26e3f6f8cdde3081905338aa672fb1e5cb6aba4adb08

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:8955824917138fec8f294be19f9125154bc4b8d211f68133d8b63f28317db295

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:34005c47654c7d26afbe081cfe36ccff5a3d86d68c9122f67dbdff2ffd203997

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:331ead6839465d134e610b7e4412aae24047d27fc02c43e2ab6535e48b2c1c17

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:f0345c4fd04734bf9bd0bd0c999013ce318fe4f9310c1cc44d88b4e696b667a2

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:591b97fc83f986b6ed1086b3455583b9adf97baab7b1d1065cf73f9563724582

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:1bd71b50071535f11efdb7ccbb77a36a7fcb1a286e26183130faaa386033e1d0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:aa77a08162fe734875a1d112bc63e8d9eec9a4c9b9bfb5bf2476895d694a5a36

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:bc90546eb9dd97bacf81cb958924068549af00b0905977c71c645af9bdd8eddb

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:4fdd3a71adfbbe11caf12b1aa344f16f697c8b315edd6f1c5cf0284beb6346c2

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:35209fff24dd8cc6e66c056d37c50c6eed048b5acbecb02d7acdf5e41be46741

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 2026-08-13T06:32:02.005865+00:00.

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:e87fdbf20ea3c2131b6b7ad2a2bf9ac6e7a35fabcca537fc1976e83d611cd124

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:f7795ddb30c3e2f1a5d5eccefe6a38b6e77c3ee1d4d2c11b897a3bee94312a25

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:b7cceec02c26545388e16214bdfe9e69ee5a9aba0150917579c178bdf7c577ae

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:86d68cc7367ae03d05a1329ce86446c815fa8cb0b4545026a4ae3ddf8183bd30

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:cd8d87a8d6dd41e6b8d9e0188863e935719c662a4de0fdd0b910e76d69979166

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:2ec0b090493c1d885c4c17b229ef3e4dcfeb176a8375e83301fc2a3bec046c3b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:25441f26366189c2decff038fe81566220c859b102ae2ba090fbccf8ad4e2a93

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:f021d832c279bb21d00027701270120b72da8a5efb160d5e679b4b294def3143

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:82e1ac8d0824147590a172b475610d72557d86243844cdf54d41245d871b9482

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:d6e90eddb1d0c3615b4fd32015c36e1295158bb4d58591230570e40b5709eddb

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:31a556a2c62587bf3a9a573888e639ef6896e30dd829a93a35959cc41cc33433

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:b0fa8c7475370129e44631fc38f20f644f3db5557acb9db45d352d6178dd9e8a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:7a3ee7f34c5fb21d2f3ef0935a28be31306f869e53d965515fe5539ea4d6c56a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T12:37:07.906342Z digest=sha256:f2f4bb2c268d753412c6220d5d5a742798c8e28dedf84341350bb0ccc53c670f

Pith citing papers

No inbound Pith citation observations are available.