Paper Citation Record · LEDGER

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability

As of 10 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2508.04017.

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

pith.paper-citation-record.v1
2508.04017 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T01:00:29.069067Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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 exact2
verified fuzzy1
unresolved33
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d0cb7c20-1858-46e9-9fb9-72c436f0f0c7 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability , " * write output.state after.block = add.period write newline

Reference 1

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Source-reported events for the cited work

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Observation 3948594a-e065-46ca-afd1-452ed53d0d02 · outbound

This paper cites write newline.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:25.865226Z

Source-reported events for the cited work

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Observation bbcc5b9c-f44b-47a0-a22d-5a7dcfdfe9a5 · outbound

This paper cites an unresolved cited work.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T01:01:04.320608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5549909e-3697-4db1-a005-3a78583362b9 · outbound

This paper cites Qwen2.5-VL Technical Report.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Qwen2.5-VL Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:26.057218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27d0bec9-0f49-4ce3-97e1-6ebb9e4e42ef · outbound

This paper cites ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:26.157643Z

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Observation 657d33d3-96b3-4675-bcd3-7d6e1fa4e4f6 · outbound

This paper cites Words or Vision: Do Vision-Language Models Have Blind Faith in Text?.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Words or Vision: Do Vision-Language Models Have Blind Faith in Text?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:26.259597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 439fb4d0-d81e-41c7-8f00-69529d2c368f · outbound

This paper cites an unresolved cited work.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:26.355964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a140720-96a2-46e9-be58-eb45b6f1c8d9 · outbound

This paper cites Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?

Reference 8

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Source-reported events for the cited work

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Observation a552404d-7de4-4e2d-a421-048912c88bd1 · outbound

This paper cites Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructions.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructions

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-06T01:01:03.445306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0c7e211b-0a81-4074-bb64-d949ca56f23d · outbound

This paper cites an unresolved cited work.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-06T01:01:04.220737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d425b47c-4664-4ce2-bbf1-d8bdd1e889c2 · outbound

This paper cites Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:26.699637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be2e1064-075d-4e21-8c25-4910e79805b1 · outbound

This paper cites E.; Zhou, W.; Wang, G.; Yin, K.; Zhao, Z.; Yang, H.; Wu, F.; Zhang, S.; and Wu, F.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability E.; Zhou, W.; Wang, G.; Yin, K.; Zhao, Z.; Yang, H.; Wu, F.; Zhang, S.; and Wu, F

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:01:04.126684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f9767cf6-0900-4952-9bfb-3c0ca9bc9db0 · outbound

This paper cites How Do Vision-Language Models Process Conflicting Information Across Modalities?.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability How Do Vision-Language Models Process Conflicting Information Across Modalities?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:26.919995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd1e2e01-baae-4be9-9293-d47864400ad7 · outbound

This paper cites GPT-4o System Card.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability GPT-4o System Card

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:27.052675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ce3c00f-0069-4a23-bc08-353760ab3f29 · outbound

This paper cites an unresolved cited work.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Unresolved cited work

Reference 15

Resolution: verified exact; raw_fallback, observed 2026-08-06T01:01:03.300675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cdab12de-734a-4d24-aa40-0905b937edde · outbound

This paper cites an unresolved cited work.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Unresolved cited work

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19e1e387-97f8-456e-ae8d-d5cbfca4b2cf · outbound

This paper cites Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:27.359993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f61d17da-ce49-42c1-ae20-9d968445251c · outbound

This paper cites MathDebugger: Detecting and Diagnosing Errors in Synthetic Mathematical Data.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability MathDebugger: Detecting and Diagnosing Errors in Synthetic Mathematical Data

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:27.408499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daf54d4c-c5c4-4190-b04a-cbd843e76f0b · outbound

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Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability CriticBench: Benchmarking LLMs for Critique-Correct Reasoning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:27.481589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d1532fb-9e7f-4bea-bd60-4c445ac19072 · outbound

This paper cites On the robustness of multimodal language model towards distractions.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability On the robustness of multimodal language model towards distractions

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:27.572834Z

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Observation cffb212c-98ac-4faf-8036-f23bcfe707d5 · outbound

This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:27.682515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 102204fa-41aa-49a3-8f5d-736e50321485 · outbound

This paper cites Critique Ability of Large Language Models.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Critique Ability of Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:27.774948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5899463a-22ef-450b-855c-a2357d4e11d8 · outbound

This paper cites Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:27.854810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites H.; He, R.; Liang, H.; Qiang, M.; Meng, Z.; Zhao, Z.; Zeng, B.; Zhu, Z.; Cui, B.; and Zhang, W.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability H.; He, R.; Liang, H.; Qiang, M.; Meng, Z.; Zhao, Z.; Zeng, B.; Zhu, Z.; Cui, B.; and Zhang, W

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:27.899460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c9be180-2d11-4c51-bdac-e6b01eb24106 · outbound

This paper cites an unresolved cited work.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:27.947422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99483082-7200-4722-89b8-391c4f547a31 · outbound

This paper cites A Survey on (M)LLM-Based GUI Agents.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability A Survey on (M)LLM-Based GUI Agents

Reference 26

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Unavailable: canonical work link unavailable.

Observation fe701744-5687-426c-92a8-dd9eaa8897cf · outbound

This paper cites an unresolved cited work.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-06T01:01:03.924245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bd7da610-e695-4d96-a1f6-8ac920fecc0c · outbound

This paper cites Stop Reasoning! When Multimodal LLM with Chain-of-Thought Reasoning Meets Adversarial Image.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Stop Reasoning! When Multimodal LLM with Chain-of-Thought Reasoning Meets Adversarial Image

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:28.274253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8c61fe0-5c7b-4e10-aae3-950e14610429 · outbound

This paper cites Multimodal Inconsistency Reasoning (MMIR): A New Benchmark for Multimodal Reasoning Models.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Multimodal Inconsistency Reasoning (MMIR): A New Benchmark for Multimodal Reasoning Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:28.391005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a1fae2a-88ec-4283-b890-89b596714d48 · outbound

This paper cites ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:28.516071Z

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Unavailable: canonical work link unavailable.

Observation 5edb0161-7467-47e5-832a-d3f8aa30074f · outbound

This paper cites an unresolved cited work.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:28.600580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3268c7ed-89ce-4f77-801e-bbd66db5bb4c · outbound

This paper cites Robust Multimodal Large Language Models Against Modality Conflict.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Robust Multimodal Large Language Models Against Modality Conflict

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:28.684512Z

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Observation ae4b2458-d7f6-4e5e-9a34-2ff588376b5f · outbound

This paper cites an unresolved cited work.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-06T01:01:03.765073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 409490f8-ec1c-4261-8af4-a4482362a558 · outbound

This paper cites MLLMs are Deeply Affected by Modality Bias.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability MLLMs are Deeply Affected by Modality Bias

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:28.861351Z

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Unavailable: canonical work link unavailable.

Observation 6f4ec23f-1288-4294-b199-8d0cecb1c5b1 · outbound

This paper cites Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:28.956589Z

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Unavailable: canonical work link unavailable.

Observation a30a1054-236d-4d75-ade0-2dee4d88def0 · outbound

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

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:29.069067Z

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Unavailable: canonical work link unavailable.

Pith citing papers

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