Paper Citation Record · LEDGER

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models

As of 19 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 5 inbound Pith citation observations for arXiv:2505.19509.

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

pith.paper-citation-record.v1
2505.19509 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:16:57.959423Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:23:30.975726Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:18:56.636833Z

Reference resolution

38 of 38 outbound references displayed

verified exact1
verified fuzzy20
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4e1c7e12-f576-49fe-928c-0489a0730825 · outbound

This paper cites Qwen2.5-VL Technical Report.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Qwen2.5-VL Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:53.288144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7d0d6ff-3ce7-4146-b9be-5c195a1575eb · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:53.350846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01e2cd52-62e3-49de-a71d-611d17d70005 · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:53.441172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ce1d9ad-58e1-4044-8633-28878cd28bbd · outbound

This paper cites A survey on multimodal large language models for autonomous driving.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models A survey on multimodal large language models for autonomous driving

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:53.549192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a30c6368-55f9-42b7-bf76-ecec9cfd96a7 · outbound

This paper cites OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:53.615102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d6df923-6e61-417e-a95a-3d6f81846ea3 · outbound

This paper cites A survey on rag meeting llms: Towards retrieval-augmented large language models.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models A survey on rag meeting llms: Towards retrieval-augmented large language models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:02.460446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fd11a890-692d-48c2-8917-d8f7d020f9f6 · outbound

This paper cites A Survey of Multimodal Retrieval-Augmented Generation.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models A Survey of Multimodal Retrieval-Augmented Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:53.793245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1abeb804-e43d-4b96-b67e-e51415a2d6ea · outbound

This paper cites Knowledge conflicts for llms: A survey.EMNLP, 2024.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Knowledge conflicts for llms: A survey.EMNLP, 2024

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:02.307981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7a882889-cb12-4607-a26d-bf276bd25c56 · outbound

This paper cites Resolving knowledge conflicts in large language models.COLM, 2024.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Resolving knowledge conflicts in large language models.COLM, 2024

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:02.164448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f9b0a995-b122-4deb-b3aa-6f5765ad6c21 · outbound

This paper cites Wikicontradict: A benchmark for evaluating llms on real-world knowledge conflicts from wikipedia.Advances in Neural Information Processing Systems, 37:109701–109747, 2024.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Wikicontradict: A benchmark for evaluating llms on real-world knowledge conflicts from wikipedia.Advances in Neural Information Processing Systems, 37:109701–109747, 2024

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:01.966896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eb578382-2152-45a7-ba50-f6d9d28163c6 · outbound

This paper cites Conflictbank: A benchmark for evaluating the influence of knowledge conflicts in llms.Advances in Neural Information Processing Systems, 37:103242–103268, 2024.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Conflictbank: A benchmark for evaluating the influence of knowledge conflicts in llms.Advances in Neural Information Processing Systems, 37:103242–103268, 2024

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:01.727966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c4524538-a42c-4eaf-a5f5-b89e1770a19e · outbound

This paper cites Insight Over Sight: Exploring the Vision-Knowledge Conflicts in Multimodal LLMs.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Insight Over Sight: Exploring the Vision-Knowledge Conflicts in Multimodal LLMs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:54.402819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f410f9fe-3937-4dc7-8003-7f2c35e5bad2 · outbound

This paper cites Is cognition consistent with perception? assessing and mitigating multimodal knowledge conflicts in document understanding.arXiv preprint arXiv:2411.07722, 2024.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Is cognition consistent with perception? assessing and mitigating multimodal knowledge conflicts in document understanding.arXiv preprint arXiv:2411.07722, 2024

Reference 13

Resolution: verified exact; raw_fallback, observed 2026-08-07T14:16:58.384722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7dc98abf-b225-4c39-85c8-175ef4573d84 · outbound

This paper cites Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:54.646826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68370baa-f6fd-4626-9c4e-34af8b7f9cf4 · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:54.741327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6749619a-c194-47f3-8b9b-00d6631ff043 · outbound

This paper cites GPT-4o System Card.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models GPT-4o System Card

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:54.993984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a175781-5712-4812-be12-c32901234b7d · outbound

This paper cites The revolution of multimodal large language models: a survey.ACL, 2024.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models The revolution of multimodal large language models: a survey.ACL, 2024

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:01.534360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 418f979b-fd5d-4873-8ba0-8985a042e48a · outbound

This paper cites The Llama 3 Herd of Models.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models The Llama 3 Herd of Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:55.202229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 640f1b77-a3ce-4e31-bd86-e1288a213f49 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:55.285949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 074984d8-e329-4f96-8f3a-31afca65b5f1 · outbound

This paper cites Qwen2.5 Technical Report.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Qwen2.5 Technical Report

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:55.402884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ed7f2ed-829b-4a71-a792-08ec5e6737f0 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.ICLR, 2020.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models An image is worth 16x16 words: Transformers for image recognition at scale.ICLR, 2020

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:01.372686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3c97a7b7-3b6a-40a8-959d-3a065bd0e19d · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:55.605857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8320f76-a640-4a05-a88d-a8a974895333 · outbound

This paper cites Llava-onevision: Easy visual task transfer.Transactions on Machine Learning Research, 2025.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Llava-onevision: Easy visual task transfer.Transactions on Machine Learning Research, 2025

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:01.190238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4cbcf3c7-bab1-41db-9043-3fa99e70af8e · outbound

This paper cites Mllm-compbench: A comparative reasoning bench- mark for multimodal llms.Advances in Neural Information Processing Systems, 37:28798– 28827, 2024.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Mllm-compbench: A comparative reasoning bench- mark for multimodal llms.Advances in Neural Information Processing Systems, 37:28798– 28827, 2024

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:00.983963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6023184c-710a-4066-a4cb-332ab1951308 · outbound

This paper cites A Survey on Evaluation of Multimodal Large Language Models.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models A Survey on Evaluation of Multimodal Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:55.906329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f522402-95a2-4abd-84f4-6a0f8e974221 · outbound

This paper cites Clova: A closed-loop visual assistant with tool usage and update.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Clova: A closed-loop visual assistant with tool usage and update

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:00.801917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 46fea237-d177-49f6-92a6-231bbbe5c8fd · outbound

This paper cites Videoagent: A memory-augmented multimodal agent for video understanding.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Videoagent: A memory-augmented multimodal agent for video understanding

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:56.224366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c03cfc87-1ddf-41f5-9148-c88a0d459eb2 · outbound

This paper cites Visual programming: Compositional visual reasoning without training.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Visual programming: Compositional visual reasoning without training

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:56.423955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 701a6a19-afcd-4f82-8bde-d80c358e148b · outbound

This paper cites Rich knowledge sources bring complex knowledge conflicts: Recalibrating models to reflect conflicting evidence.EMNLP, 2022.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Rich knowledge sources bring complex knowledge conflicts: Recalibrating models to reflect conflicting evidence.EMNLP, 2022

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:00.603329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4e8ac675-fa4b-48ea-be94-5f805b46bef7 · outbound

This paper cites Adaptive chameleon or stubborn sloth: Revealing the behavior of large language models in knowledge conflicts.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Adaptive chameleon or stubborn sloth: Revealing the behavior of large language models in knowledge conflicts

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:00.379877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bda3af74-c18b-47e6-acfa-e8f78e5d8e53 · outbound

This paper cites Entity-based knowledge conflicts in question answering.EMNLP, 2021.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Entity-based knowledge conflicts in question answering.EMNLP, 2021

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:00.246356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7a0b5327-cdfb-4fb7-85b1-7026bacd9e34 · outbound

This paper cites Intuitive or dependent? investigating llms’ behavior style to conflicting prompts.ACL, 2024.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Intuitive or dependent? investigating llms’ behavior style to conflicting prompts.ACL, 2024

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:00.107246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 148ff244-7622-40ea-93f2-c5954bfc14c6 · outbound

This paper cites Contradoc: understanding self-contradictions in documents with large language models.NAACL, 2024.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Contradoc: understanding self-contradictions in documents with large language models.NAACL, 2024

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:59.880833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6fce640f-37fb-467f-9f3b-331e5fe59ff8 · outbound

This paper cites Trueteacher: Learning factual consistency evaluation with large language models.EMNLP, 2023.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Trueteacher: Learning factual consistency evaluation with large language models.EMNLP, 2023

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:59.711402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 92998a26-1d0b-48b4-8ae5-9d148cdc3d63 · outbound

This paper cites Dola: Decoding by contrasting layers improves factuality in large language models.ICLR, 2024.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Dola: Decoding by contrasting layers improves factuality in large language models.ICLR, 2024

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:59.473399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 53d8985e-9f17-4987-bcb7-f1febcae1b50 · outbound

This paper cites Factllama: Optimizing instruction-following language models with external knowledge for automated fact-checking.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Factllama: Optimizing instruction-following language models with external knowledge for automated fact-checking

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:59.254826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 51653bb8-82f3-4510-8221-cc1cd0aa7b03 · outbound

This paper cites Mmke- bench: A multimodal editing benchmark for diverse visual knowledge.ICLR, 2025.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models Mmke- bench: A multimodal editing benchmark for diverse visual knowledge.ICLR, 2025

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:59.015749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 25cd1c30-bbc1-4744-bcdf-4bdf4ab8217b · outbound

This paper cites happy" with.

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models happy" with

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:58.669013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation e0494347-3837-40a3-95e8-2e0c2420a272 · inbound

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence cites this paper.

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:59:27.451890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b7ebd128-f15e-420e-a573-22f0002f653e · inbound

SMMBench: A Benchmark for Source-Distributed Multimodal Agent Memory cites this paper.

SMMBench: A Benchmark for Source-Distributed Multimodal Agent Memory Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:13:40.530116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fb9280d8-94ae-424a-af30-83d8e846645c · inbound

MLLMs Get It Right, Then Get It Wrong: Tracing and Correcting Late-Layer Textual Bias cites this paper.

MLLMs Get It Right, Then Get It Wrong: Tracing and Correcting Late-Layer Textual Bias Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:18:56.638205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 347d6381-151a-4498-ba4c-25dcf1bfd55d · inbound

MissingBench-Verified: Probing Vision-Language Models' Inability to Detect Missing Object Parts cites this paper.

MissingBench-Verified: Probing Vision-Language Models' Inability to Detect Missing Object Parts Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T14:44:03.224842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbb4f416-b187-4498-87c0-c0ea7419c574 · inbound

GeoArbiter: Verifiability-Guided Grounding for Remote-Sensing Multimodal LLMs cites this paper.

GeoArbiter: Verifiability-Guided Grounding for Remote-Sensing Multimodal LLMs Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T15:23:30.975726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.