Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T15:17:39.344348Z
Paper Citation Record · LEDGER
As of 2 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 1 inbound Pith citation observation for arXiv:2604.12424.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T15:17:39.344348Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-01T06:32:01.292127+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-31T04:55:07.011418Z
A source-named dated measurement, never combined with another source.
Source: cited_works
66 of 66 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation fde33f16-4efa-4a1b-b26a-eda316cbd225 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the Computer Vision and Pattern Recognition Conference
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Observation fbd797ed-c0c0-42e6-81c6-b45d78d01c09 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Hallucination of Multimodal Large Language Models: A Survey
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Source-reported events for the cited work
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Observation 1ed1429f-73e0-4cae-be1a-7a1f56b90912 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2506.21509 (2025)
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Source-reported events for the cited work
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Observation 7674b572-4e72-45a2-bde9-21a335f2ed96 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the Computer Vision and Pattern Recognition Conference
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Source-reported events for the cited work
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Observation 8f3d0084-6a47-4140-8739-8eb03110e2d7 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Eu- ropean Conference on Computer Vision
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Source-reported events for the cited work
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Observation 86072198-1425-4b5d-9bec-e3dd5f6b254c · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2504.08809 (2025)
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Observation 9f3042bf-ced5-462d-a37d-a71897749799 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint (2025)
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Source-reported events for the cited work
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Observation a9053ca5-cef3-4608-9e71-c73787829db0 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Do You Keep an Eye on What I Ask? Mitigating Multimodal Hallucination via Attention-Guided Ensemble Decoding
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Source-reported events for the cited work
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Observation 33e330bd-cddc-4f1c-ae65-28c7b0bf6c24 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Advances in neural information processing systems36, 49250–49267 (2023)
Reference 9
Source-reported events for the cited work
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Observation 632b84b8-b999-4417-ac5f-ea45e0418dbc · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation A benchmark for ultra-high-resolution remote sensing mllms
Reference 10
Source-reported events for the cited work
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Observation 9cc7f7da-6544-40b0-adf0-35f3224306a5 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation PaMi-VDPO: Mitigating Video Hallucinations by Prompt-Aware Multi-Instance Video Preference Learning
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Source-reported events for the cited work
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Observation d528e179-c55b-4ce4-9a82-8708222d3d20 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Truthprint: Miti- gating lvlm object hallucination via latent truthful-guided pre- intervention
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Source-reported events for the cited work
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Observation fa057b77-f958-498c-8037-580762983962 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2505.19678 (2025)
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Source-reported events for the cited work
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Observation d053b36e-308b-474a-a990-95989a370908 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs
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Source-reported events for the cited work
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Observation 9c323f4d-a216-4647-83fb-1ecc98382195 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation 6b2dddf4-5547-4be8-83f8-e9b2665c6e24 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
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Source-reported events for the cited work
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Observation 7a4be3a8-d7e5-420e-8037-2961667936bc · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: The Thirty-ninth Annual Con- ference on Neural Information Processing Systems (NA)
Reference 17
Source-reported events for the cited work
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Observation ffa2f628-f6d5-452e-a250-8ad0f3dee4fc · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction
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Source-reported events for the cited work
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Observation b592fb28-6c85-4597-ad91-ffa2970e0b98 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
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Source-reported events for the cited work
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Observation f5404b34-b618-44f3-abfb-7bb95a1cdbc0 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2509.21057 (2025)
Reference 20
Source-reported events for the cited work
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Observation 64e51bcd-af99-4f0b-aafe-eaa4ed04194e · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Attention-space Contrastive Guidance for Efficient Hallucination Mitigation in LVLMs
Reference 21
Source-reported events for the cited work
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Observation 32f58ed1-ceb5-4640-a052-b998fe002314 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reference 22
Source-reported events for the cited work
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Observation dc53b29f-c187-4c9c-a36a-5dc55425bd31 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the Computer Vision and Pattern Recognition Conference
Reference 23
Source-reported events for the cited work
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Observation 9dbb3ad3-b3ac-4d2b-abde-55dbdd764b30 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations
Reference 24
Source-reported events for the cited work
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Observation 9f29c669-de04-4008-bffc-5a8b13541705 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the 2023 conference on empirical methods in natural language processing
Reference 25
Source-reported events for the cited work
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Observation 77c24fc9-38b3-48cc-8175-6d3e5b729e9e · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
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Source-reported events for the cited work
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Observation 6f9405e0-e620-47a2-a94d-98c3346e14c0 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Advances in neural information processing systems36, 34892–34916 (2023)
Reference 27
Source-reported events for the cited work
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Observation aaa877e6-f580-48d3-8796-01d9fefd90ac · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Unresolved cited work
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Source-reported events for the cited work
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Observation d6f58737-9ea2-411f-94df-b9c4c334869b · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: The Thirteenth International Conference on Learning Representations (2025)
Reference 29
Source-reported events for the cited work
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Observation 072a712e-7b36-4387-874a-cbeb096ca640 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2601.05144 (2026)
Reference 30
Source-reported events for the cited work
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Observation 992ad29c-f1ce-4315-88c4-039fe42d8106 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models
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Source-reported events for the cited work
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Observation 88308eed-84fd-41d0-b291-7e84831249e0 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2601.05159 (2026) DeP 17
Reference 32
Source-reported events for the cited work
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Observation 37e1ac53-6d8a-4042-92d3-bcf807509e83 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2507.14067 (2025)
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Source-reported events for the cited work
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Observation 69d9053c-0f0a-40ed-b2ab-7ca0f17542b7 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Advances in Neural Information Processing Systems37, 122811–122832 (2024)
Reference 34
Source-reported events for the cited work
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Observation 68cbc437-c342-442b-becb-5b4a2b1491bc · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Computers in Biology and Medicine200, 111347 (2026)
Reference 35
Source-reported events for the cited work
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Observation 5c22f7f1-9d17-4162-a69a-64ddf896879b · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
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Source-reported events for the cited work
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Observation 5ceac95d-a141-4a07-9a87-c8ba6b754111 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2601.06224 (2026)
Reference 37
Source-reported events for the cited work
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Observation 7a95a883-c7af-4c86-94c3-96873cc436c0 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Omnisync: Towards universal lip synchronization via diffusion transformers.arXiv preprint arXiv:2505.21448
Reference 38
Source-reported events for the cited work
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Observation 86734174-c227-4479-b319-9f5f5748cb1d · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Inter- national Conference on Sustainable Computing and Intelligent Systems
Reference 39
Source-reported events for the cited work
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Observation 22a90efd-48a4-4b3d-8e9f-51ac8e6496dc · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2601.23041 (2026)
Reference 40
Source-reported events for the cited work
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Observation 00ef46e0-d459-4948-83e8-d0444e5af3fc · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Unresolved cited work
Reference 41
Source-reported events for the cited work
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Observation f0e50048-0a47-4b78-b041-9f2d82c33952 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the 63rd Annual Meeting of the Asso- ciation for Computational Linguistics (Volume 1: Long Papers)
Reference 42
Source-reported events for the cited work
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Observation 5a5393ad-af59-4ca6-b3e5-f7c6c3a8f9a8 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Ku, L.W., Martins, A., Srikumar, V
Reference 43
Source-reported events for the cited work
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Observation 11ae3c8b-3106-4869-bb0d-54d219c13e81 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the Computer Vision and Pattern Recognition Conference
Reference 44
Source-reported events for the cited work
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Observation 9f55d9b0-1279-4e46-a265-fe5ae8369c83 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the IEEE/CVF International Conference on Computer Vision
Reference 45
Source-reported events for the cited work
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Observation cf87b4ba-86fc-4e39-b3a3-1678dd70f45e · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2504.13169 , year=
Reference 46
Source-reported events for the cited work
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Observation 499af4ec-1437-4056-a428-d5a2548865f2 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Unresolved cited work
Reference 47
Source-reported events for the cited work
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Observation f0ffe181-c90a-4845-8004-85fe8dfc07d2 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation MACD: Model-Aware Contrastive Decoding via Counterfactual Data
Reference 48
Source-reported events for the cited work
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Observation 4a88dbe3-0b0a-47b6-a97a-31cd96ea2497 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the AAAI Conference on Artificial Intelligence
Reference 49
Source-reported events for the cited work
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Observation 84aaf3e9-4696-4faf-a22f-8e6961c24d22 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2506.22283 (2025)
Reference 50
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation b44070c8-efdf-4068-ba0d-3b2824a0ad36 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Pro- ceedings of the Computer Vision and Pattern Recognition Conference
Reference 51
Source-reported events for the cited work
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Observation 07f54347-ea8d-48a0-84cc-0820e084e454 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2512.02981 (2025)
Reference 52
Source-reported events for the cited work
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Observation 3e133cd2-5652-485e-afa5-8e0a2974f305 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the Computer Vision and Pattern Recognition Conference
Reference 53
Source-reported events for the cited work
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Observation 6885d958-151b-47fd-8472-ae30deba940f · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Science China Information Sciences67(12), 220105 (2024)
Reference 54
Source-reported events for the cited work
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Observation 159c0420-4dc4-4e6c-bd8d-dbef1ae14588 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models
Reference 55
Source-reported events for the cited work
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Observation 025c814b-a7d3-41c8-9605-dc232678a373 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
Reference 56
Source-reported events for the cited work
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Observation fb8ce0cb-0b20-441f-9049-f40fabb79b70 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality
Reference 57
Source-reported events for the cited work
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Observation 20012935-d1c2-443b-80fa-068d43593357 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2601.20279 (2026)
Reference 58
Source-reported events for the cited work
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Observation 4fd40dad-e259-44af-8477-a5422eadcb23 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation MM-RLHF: The Next Step Forward in Multimodal LLM Alignment
Reference 59
Source-reported events for the cited work
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Observation f9fcdeff-0e90-4112-9980-c9f656317e04 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2510.02342 (2025)
Reference 60
Source-reported events for the cited work
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Observation e45be96c-5183-4dad-a844-9f794b75f495 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: 2025 IEEE 8th International Conference on Multimedia Information Processing and Retrieval (MIPR)
Reference 61
Source-reported events for the cited work
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Observation 36a31652-ca4f-46f5-997f-8cff612692f8 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2505.14257 (2025) DeP 19
Reference 62
Source-reported events for the cited work
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Observation e3f67f33-8da7-4572-8ff8-6da33d57a920 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Cross- image contrastive decoding: Precise, lossless suppression of language priors in large vision-language models
Reference 63
Source-reported events for the cited work
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Observation a7df3263-2e3f-4ecb-b9fa-e610c366f56d · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization
Reference 64
Source-reported events for the cited work
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Observation 3f262b26-d366-42b6-b866-222bc81c9aa9 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2601.07291 (2026)
Reference 65
Source-reported events for the cited work
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Observation 742519c1-02cc-4d0c-96a5-40cdfdfb5c69 · outbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the Computer Vision and Pattern Recognition Conference
Reference 66
Source-reported events for the cited work
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Observation aaebe2bc-360c-48e9-a3d6-c8491c072051 · inbound
Beyond Frame Selection: Generative Latent Evidence Aggregation for Long-Video Understanding Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation
Reference 12
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