Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T16:19:45.907689Z
Paper Citation Record · LEDGER
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs
As of 13 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2411.13697.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T17:18:39.999709Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T17:18:42.348103Z
Reference resolution
54 of 54 outbound references displayed
- verified exact0
- verified fuzzy32
- unresolved21
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e856053a-6e0c-4a4f-b7fe-56e089518534 · outbound
This paper cites Llama 3.1 8b instruct.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Llama 3.1 8b instruct
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:57.352098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 60ae80d8-2c42-495e-b593-0390a4b8b6a8 · outbound
This paper cites Neural module networks.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Neural module networks
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:57.336364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f12f664c-4f19-4989-8a7d-daa471ee13ab · outbound
This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:19:45.628581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3f049da-c169-4a70-939d-8025379a2636 · outbound
This paper cites Rank analysis of incomplete block designs: I.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Rank analysis of incomplete block designs: I
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:57.321195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 81ac125f-6d5e-4013-9888-b504a77fef0b · outbound
This paper cites Modularized zero-shot VQA with pre-trained models.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Modularized zero-shot VQA with pre-trained models
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:57.301616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2d805f23-9fcc-43d2-a855-7147837deef0 · outbound
This paper cites Complex claim verification with evidence re- trieved in the wild.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Complex claim verification with evidence re- trieved in the wild
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:57.285170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 210b3e1b-eab2-45ac-84b4-a6dccdecdd07 · outbound
This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:19:45.653175Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89ea2ab6-5635-46fe-b44e-ec01a53e9f69 · outbound
This paper cites Making the V in VQA matter: El- evating the role of image understanding in visual question answering.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Making the V in VQA matter: El- evating the role of image understanding in visual question answering
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:57.268963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 32f2aad0-d4e5-4acc-960e-edf2128df124 · outbound
This paper cites Breaking common sense: Whoops! A vision-and- language benchmark of synthetic and compositional images.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Breaking common sense: Whoops! A vision-and- language benchmark of synthetic and compositional images
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:57.250746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 711b46af-a74a-47e0-a91f-b5a38aca166c · outbound
This paper cites Efficient Multimodal Learning from Data-centric Perspective.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Efficient Multimodal Learning from Data-centric Perspective
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:19:45.669568Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20631d07-13c1-4d08-8294-9f391786b97e · outbound
This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:57.233252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b4c42340-4a5c-45d5-9213-fa1d075372fe · outbound
This paper cites Learning to reason: End-to-end module networks for visual question answering.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Learning to reason: End-to-end module networks for visual question answering
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:57.212297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7a7eaa0a-5988-427c-ad5c-bc22122c910d · outbound
This paper cites Opera: Alleviating hallucination in multi- modal large language models via over-trust penalty and retrospection-allocation.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Opera: Alleviating hallucination in multi- modal large language models via over-trust penalty and retrospection-allocation
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:57.194409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a7617016-d6cd-4281-88a9-0c132aa9a876 · outbound
This paper cites Hudson and Christopher D.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Hudson and Christopher D
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:57.176796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 47bf757d-5a76-4b4e-82d0-9cd359ffe7e8 · outbound
This paper cites Hallucination augmented contrastive learning for multimodal large language model.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Hallucination augmented contrastive learning for multimodal large language model
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:57.156178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 503ae8ae-5719-42b0-b0d1-1def6e291805 · outbound
This paper cites Hal-Eval: A Universal and Fine-grained Hallucination Evaluation Framework for Large Vision Language Models.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Hal-Eval: A Universal and Fine-grained Hallucination Evaluation Framework for Large Vision Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:19:45.703566Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ee622db-7b9b-48ba-84f1-693bd84cb659 · outbound
This paper cites What’s ”up” with vision-language models? investigating their strug- gle with spatial reasoning.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs What’s ”up” with vision-language models? investigating their strug- gle with spatial reasoning
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:57.139146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 79ed3313-35b0-4be9-bf92-0a156e22896f · outbound
This paper cites Shamma, Michael S.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Shamma, Michael S
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:57.119188Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e5e98b55-daa9-4db5-bf27-cff4e094e6d0 · outbound
This paper cites Mitigating object hallucinations in large vision-language models through vi- sual contrastive decoding.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Mitigating object hallucinations in large vision-language models through vi- sual contrastive decoding
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:57.093735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f3485cbb-1db5-4fd5-b709-581e204e9658 · outbound
This paper cites an unresolved cited work.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T16:19:57.075879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4a215b56-61d5-4b59-9c3e-91dad1ac794f · outbound
This paper cites Silkie: Preference Distillation for Large Visual Language Models.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Silkie: Preference Distillation for Large Visual Language Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:19:45.731027Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf3af5f6-456b-489d-b3fc-5371f602f1c8 · outbound
This paper cites Evaluating object hallucination in large vision-language models.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Evaluating object hallucination in large vision-language models
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:57.056305Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0d488472-9d28-400b-b160-f52ff37fed44 · outbound
This paper cites Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll ´ar, and C.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll ´ar, and C
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:57.038420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 33dc35c4-8198-4966-b538-5526e5d36670 · outbound
This paper cites Improved Baselines with Visual Instruction Tuning.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Improved Baselines with Visual Instruction Tuning
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:19:45.746266Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1fa9123-ad8a-41a9-8c06-7fdaf60de9b2 · outbound
This paper cites Visual instruction tuning.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Visual instruction tuning
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:57.020016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b8ea8780-131f-40e6-af45-df2c5a4489c5 · outbound
This paper cites OK-VQA: A visual question answering benchmark requiring external knowledge.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs OK-VQA: A visual question answering benchmark requiring external knowledge
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:56.997419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 74492595-f18e-4550-82aa-ecd00f0933b6 · outbound
This paper cites Factscore: Fine-grained atomic evaluation of factual precision in long form text generation.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Factscore: Fine-grained atomic evaluation of factual precision in long form text generation
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:56.977946Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f3140a77-321f-4304-b80d-f00ae3241971 · outbound
This paper cites Simple Open-Vocabulary Object Detection with Vision Transformers.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Simple Open-Vocabulary Object Detection with Vision Transformers
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:19:45.767294Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7db73d87-d104-4f06-b485-27237718928a · outbound
This paper cites Compositional chain-of-thought prompting for large multimodal models.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Compositional chain-of-thought prompting for large multimodal models
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:56.961296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 51092136-b004-4cc0-8694-69fe49af5349 · outbound
This paper cites Morris, Eli Lifland, Jin Yong Yoo, Jake Grigsby, Di Jin, and Yanjun Qi.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Morris, Eli Lifland, Jin Yong Yoo, Jake Grigsby, Di Jin, and Yanjun Qi
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:56.944636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d5def5ee-c41a-4c82-a70e-64e9ec9750bd · outbound
This paper cites GPT-4 Technical Report.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs GPT-4 Technical Report
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:19:45.782370Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4acb592-47a9-4d75-8a8d-eec4f4b653f5 · outbound
This paper cites an unresolved cited work.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T16:19:56.925402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8dd92a20-2a24-4a0f-8491-9d5b5597c2e2 · outbound
This paper cites Manning, Stefano Ermon, and Chelsea Finn.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Manning, Stefano Ermon, and Chelsea Finn
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:56.904101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 195df677-367f-4b23-9313-fe107c63c567 · outbound
This paper cites Object hallucination in image cap- tioning.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Object hallucination in image cap- tioning
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:19:45.797663Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d86171e-de17-4411-888f-2c2101986102 · outbound
This paper cites Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:19:45.802265Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d05d7781-24a7-4386-a523-9fc6ad15e9a6 · outbound
This paper cites Toolformer: Lan- guage models can teach themselves to use tools.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Toolformer: Lan- guage models can teach themselves to use tools
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:56.869860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 14eae642-95d4-4eb1-89f7-a02f446fd42f · outbound
This paper cites Averitec: A dataset for real-world claim verification with ev- idence from the web.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Averitec: A dataset for real-world claim verification with ev- idence from the web
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:56.851223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 89250df4-7829-4ab8-b33b-fb3b36af9054 · outbound
This paper cites Towards VQA models that can read.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Towards VQA models that can read
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:56.832658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5a041ad3-fc9a-4441-aa80-15e68acb0fb2 · outbound
This paper cites Reclip: A strong zero-shot baseline for referring expression compre- hension.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Reclip: A strong zero-shot baseline for referring expression compre- hension
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:56.808390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4272d5f7-1285-4f9d-97fc-d494b65de514 · outbound
This paper cites Aligning large multimodal models with factually aug- mented RLHF.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Aligning large multimodal models with factually aug- mented RLHF
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:56.786805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 24009d21-2838-45f5-b1c7-f608ec8eb06c · outbound
This paper cites Winoground: Probing vision and language models for visio- linguistic compositionality.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Winoground: Probing vision and language models for visio- linguistic compositionality
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:56.763724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8c198218-3604-4888-9501-cfca0cedf142 · outbound
This paper cites AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:19:45.840224Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c49e7674-0f24-430b-a717-72fb8183d2c2 · outbound
This paper cites Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:19:45.846143Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation abb57ec7-d839-4ee2-aff5-5ac93aeef63a · outbound
This paper cites Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:19:45.852589Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e0f2944-4597-4162-b86d-a19b143ecf7b · outbound
This paper cites mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:19:45.857856Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23fbd567-653a-4f0f-aee5-3b77a5136fd1 · outbound
This paper cites Woodpecker: Hallucination Correction for Multimodal Large Language Models.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Woodpecker: Hallucination Correction for Multimodal Large Language Models
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:19:45.864159Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 070514aa-d647-4995-9df7-f3f2f0995191 · outbound
This paper cites Rlhf-v: Towards trustworthy mllms via behavior alignment from fine-grained correctional human feedback.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Rlhf-v: Towards trustworthy mllms via behavior alignment from fine-grained correctional human feedback
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:56.745479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0ea2a3c2-2946-4c1f-aa6b-dc5e1eaec77d · outbound
This paper cites RLAIF-V: aligning mllms through open-source AI feedback for super GPT-4V trustworthiness.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs RLAIF-V: aligning mllms through open-source AI feedback for super GPT-4V trustworthiness
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:19:45.875159Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05dfe205-3478-4350-afee-968d54eb9446 · outbound
This paper cites Less is more: Miti- gating multimodal hallucination from an EOS decision per- spective.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Less is more: Miti- gating multimodal hallucination from an EOS decision per- spective
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:56.724835Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f76ee1ca-8be6-4b4d-8d62-c1543f2210fa · outbound
This paper cites VL-CheckList: Evaluating Pre-trained Vision-Language Models with Objects, Attributes and Relations.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs VL-CheckList: Evaluating Pre-trained Vision-Language Models with Objects, Attributes and Relations
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:19:45.886327Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8217e480-5c65-4cf6-8ed8-8967d74ffa66 · outbound
This paper cites Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:19:45.891415Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 672a8d6a-4b5d-4751-838f-50e30593158b · outbound
This paper cites ROME: evaluating pre-trained vision-language models on reasoning beyond visual common sense.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs ROME: evaluating pre-trained vision-language models on reasoning beyond visual common sense
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:19:56.701669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0544ff14-ccb0-47a9-bf0e-41073097769a · outbound
This paper cites Aligning Modalities in Vision Large Language Models via Preference Fine-tuning.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:19:45.901914Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 252f9984-8921-40f9-b03b-4fb8f2b2d412 · outbound
This paper cites Is the {sub} {relation} {obj}?.
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Is the {sub} {relation} {obj}?
Reference 54
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-12T16:19:56.680852Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
Observation a76663c8-4a8f-4508-9668-446e09af7a64 · inbound
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model cites this paper.
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T17:18:42.352989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.