Paper Citation Record · LEDGER

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models

As of 17 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 3 inbound Pith citation observations for arXiv:2505.17061.

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

pith.paper-citation-record.v1
2505.17061 v3

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:51:38.714405Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:32:07.965796Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:06:02.551217Z

Reference resolution

43 of 43 outbound references displayed

verified exact2
verified fuzzy0
unresolved41
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1d9280ee-b2f8-4c47-b790-c9b1ca39b1fc · outbound

This paper cites Qwen Technical Report.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Qwen Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.456994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d6d87ba-0962-492e-929d-b572987aaa6b · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.463513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31692b73-4685-417d-bd52-932df0cea3d2 · outbound

This paper cites Hallucination of Multimodal Large Language Models: A Survey.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Hallucination of Multimodal Large Language Models: A Survey

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.469853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10032271-1902-43ba-9985-60ba7f5c7754 · outbound

This paper cites Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.476183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46ff1923-6f34-4617-981f-3cadb524ff46 · outbound

This paper cites Multi-Object Hallucination in Vision-Language Models.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Multi-Object Hallucination in Vision-Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.482421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 792cd160-eeac-4991-86c9-c1993cc19575 · outbound

This paper cites DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.488680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df46505c-f07b-48f7-bafa-fb5e65972adc · outbound

This paper cites Chain-of-Verification Reduces Hallucination in Large Language Models.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.495574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7453b22-0b75-4e7c-be42-f37ae181c765 · outbound

This paper cites an unresolved cited work.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.501627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a31ce8e-af24-46d3-9949-7850e03c1db2 · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.506936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ff7bcf5-80d0-44e9-915b-5d3d2c9ef175 · outbound

This paper cites A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.512420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5f57dc6-67f1-474f-83ee-d2c82f2b6cdd · outbound

This paper cites an unresolved cited work.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.520342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6961b69-776c-47ff-a846-9f1c09e6b06c · outbound

This paper cites Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.525864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed89481e-e688-4015-8855-17fbd873dae3 · outbound

This paper cites an unresolved cited work.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.532169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4355ce87-58ed-4e21-9f6f-aa4041df23f5 · outbound

This paper cites an unresolved cited work.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.538040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bba68b4-566a-4e6e-91c9-29aedf84157c · outbound

This paper cites an unresolved cited work.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.543554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36d8174a-78b1-4006-a907-c14c5066f56c · outbound

This paper cites an unresolved cited work.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.549230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb714f98-4978-437c-b841-e54a7b6e2887 · outbound

This paper cites Contrastive Decoding: Open-ended Text Generation as Optimization.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Contrastive Decoding: Open-ended Text Generation as Optimization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.554698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 202b1c37-9590-43d6-89b2-a7cfc26b1177 · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Evaluating Object Hallucination in Large Vision-Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.560564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fba23f15-6106-47cd-904e-9c3b97ce33d4 · outbound

This paper cites an unresolved cited work.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.566166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8804919b-9fda-49b7-88bb-2013854c4f63 · outbound

This paper cites an unresolved cited work.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.577330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f25d786-9fe5-4d0f-93c6-6238d7a2c6d0 · outbound

This paper cites Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:51:39.157086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a22d64f9-f608-4465-babd-36b246798e1c · outbound

This paper cites Zero-Resource Hallucination Prevention for Large Language Models.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Zero-Resource Hallucination Prevention for Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.591598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a813acdf-4a75-4d54-9502-ef5a5ad26f63 · outbound

This paper cites SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.598022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 363e1567-d989-474d-8420-a4a8c20e57bd · outbound

This paper cites A Survey of Hallucination in Large Foundation Models.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models A Survey of Hallucination in Large Foundation Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.604602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffbd4dac-acd5-447d-a66c-7ac1e17c6ac6 · outbound

This paper cites Object Hallucination in Image Captioning.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Object Hallucination in Image Captioning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.609832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07afa917-7259-4dcf-9ee8-65e8cca5407e · outbound

This paper cites Aligning Large Multimodal Models with Factually Augmented RLHF.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Aligning Large Multimodal Models with Factually Augmented RLHF

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.615319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19726f31-dff8-4a5b-8ed1-5375f9ef23aa · outbound

This paper cites DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.621465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d2915a7-fffb-427a-8a7e-96cb1d57d57d · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.627307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3003cf8a-7321-4790-af61-a3ef710891b7 · outbound

This paper cites A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.633345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cebd47fe-b1b5-4059-8991-577ea29669b0 · outbound

This paper cites AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.639773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6734e292-7753-488b-88ba-2ba6f7db5077 · outbound

This paper cites ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.645015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a85527ec-08dd-42e3-b6b6-b75e441b505f · outbound

This paper cites Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.651904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4512d27-2471-46a5-a048-ad637d5d2fd4 · outbound

This paper cites Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.657831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95cd4a65-1f53-44bd-b1c2-e1eb886c0772 · outbound

This paper cites Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.663687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4ca14d2-c595-4f75-b0d1-d650ac36b959 · outbound

This paper cites an unresolved cited work.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.669545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24230f44-c3e9-40a2-88d4-c755249e0206 · outbound

This paper cites an unresolved cited work.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:51:39.435751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d0614bea-3104-4f60-a9cf-df6c0c2c88d3 · outbound

This paper cites Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:51:38.861430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4cab3818-2559-4809-9ed5-14e1fc7b6856 · outbound

This paper cites Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.685943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9248ecb7-2024-4f9d-aa83-5f01dfd0c182 · outbound

This paper cites Aligning Modalities in Vision Large Language Models via Preference Fine-tuning.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Aligning Modalities in Vision Large Language Models via Preference Fine-tuning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.691181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbf59a85-e2c8-4dc9-ad40-fad92fef763b · outbound

This paper cites Analyzing and Mitigating Object Hallucination in Large Vision-Language Models.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models Analyzing and Mitigating Object Hallucination in Large Vision-Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.696989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efe6b71c-77f5-4188-b134-2d4b4c9076cd · outbound

This paper cites IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.702286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fc3077c-d76e-48d9-8d50-5b2f9b10e917 · outbound

This paper cites online" 'onlinestring :=.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models online" 'onlinestring :=

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.707610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b738256-93bf-48c2-8e1c-7a4c339a4f95 · outbound

This paper cites write newline.

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models write newline

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.714405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation af212aea-be13-49e2-9adb-741b02eb3d3c · inbound

Mitigating Multimodal Hallucination via Phase-wise Self-reward cites this paper.

Mitigating Multimodal Hallucination via Phase-wise Self-reward Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:38:43.276256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2388022e-fa34-4d22-b3cc-39eaf3da0c5c · inbound

Dismantling Pathological Shortcuts: A Causal Framework for Faithful LVLM Decoding cites this paper.

Dismantling Pathological Shortcuts: A Causal Framework for Faithful LVLM Decoding Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:06:02.552749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 67c0c5ae-82ce-4ae8-9235-3e6ee1f57a39 · inbound

DICA: Dual-Indicator Guided Contrastive Alignment in Multimodal Large Language Models cites this paper.

DICA: Dual-Indicator Guided Contrastive Alignment in Multimodal Large Language Models Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-31T23:32:07.965796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.