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Paper Citation Record · LEDGER

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

As of 23 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 33 inbound Pith citation observations for arXiv:2411.11919.

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

pith.paper-citation-record.v1
2411.11919 v2

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:47:42.561575Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:39:35.800409Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:50:10.536971Z

Reference resolution

71 of 71 outbound references displayed

  • verified exact0
  • verified fuzzy65
  • unresolved6
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d019f4d-00ce-4355-8f74-85ee588e67f4 · outbound

This paper cites Qwen technical report.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Qwen technical report

Reference 1

Resolution
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Observation a81bf62e-7250-4a05-885b-a7200b1adf04 · outbound

This paper cites Hallucination of multimodal large language models: A survey.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Hallucination of multimodal large language models: A survey

Reference 2

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation abf221ce-2bc2-4e56-893f-bbd512c7cfba · outbound

This paper cites an unresolved cited work.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Unresolved cited work

Reference 3

Resolution
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Observation a4fa86eb-971d-4883-813a-a1e3d60b3602 · outbound

This paper cites Weight uncertainty in neural network.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Weight uncertainty in neural network

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 5a271907-e85a-4990-b60f-94138a68e97c · outbound

This paper cites Shikra: Unleashing multimodal llm’s referential dialogue magic.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Shikra: Unleashing multimodal llm’s referential dialogue magic

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 62a8879f-17a4-4dde-96a0-522b6d7e2558 · outbound

This paper cites Composed image retrieval with text feedback via multi-grained uncertainty regularization.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Composed image retrieval with text feedback via multi-grained uncertainty regularization

Reference 6

Resolution
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Source-reported events for the cited work

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Observation cb964d74-abac-4c28-99a5-119c02d6a50a · outbound

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

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4c9dca50-444f-44a1-b388-36936cb0bdf8 · outbound

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

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation A survey on multimodal large language models for autonomous driving

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 69aa1b71-32ec-4f16-a0b3-2016d826c2fc · outbound

This paper cites Detecting hallucinations in large language models using semantic entropy.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Detecting hallucinations in large language models using semantic entropy

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 749c11b3-b778-4631-9469-89d437c2a940 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4bc74b91-06ef-4961-8224-e3caf93d4b99 · outbound

This paper cites Concrete dropout.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Concrete dropout

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f4547fe5-dec0-4364-a6dd-6f8578be1794 · outbound

This paper cites A survey of uncertainty in deep neural networks.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation A survey of uncertainty in deep neural networks

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation da8c36f6-04a8-49b4-bd38-41ab376290f6 · outbound

This paper cites The complications of myopia: a review and meta-analysis.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation The complications of myopia: a review and meta-analysis

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 522fe3cd-587d-40df-9cad-007f0de97259 · outbound

This paper cites A survey on uncertainty quan- tification methods for deep neural networks: An uncertainty source perspective.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation A survey on uncertainty quan- tification methods for deep neural networks: An uncertainty source perspective

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation bce75a4a-b76e-438e-a485-cf0118ca174c · outbound

This paper cites Omnimedvqa: A new large-scale comprehensive evaluation benchmark for medical lvlm.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Omnimedvqa: A new large-scale comprehensive evaluation benchmark for medical lvlm

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 83697b5d-18fc-4527-910b-7ae4d7e1dd91 · outbound

This paper cites Snapshot ensembles: Train 1, get m for free.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Snapshot ensembles: Train 1, get m for free

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation ec47815b-0679-47b2-b906-a26112347b19 · outbound

This paper cites An embodied generalist agent in 3d world.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation An embodied generalist agent in 3d world

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 262e2fdf-aa57-49b7-a034-ee1f52899a4a · outbound

This paper cites A survey on hal- lucination in large language models: Principles, taxonomy, challenges, and open questions.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation A survey on hal- lucination in large language models: Principles, taxonomy, challenges, and open questions

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c7efd8d2-dfab-49ae-9e19-00d6cb15b289 · outbound

This paper cites Faithscore: Evaluating hallucinations in large vision-language models.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Faithscore: Evaluating hallucinations in large vision-language models

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 8b90432e-0a37-48f1-8513-517675929058 · outbound

This paper cites What uncertainties do we need in bayesian deep learning for computer vision? NeurIPS, 30,.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation What uncertainties do we need in bayesian deep learning for computer vision? NeurIPS, 30,

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 11ef3164-1803-44c4-9cb9-525e15540d4a · outbound

This paper cites Learn- ing loss for test-time augmentation.NeurIPS, 33:4163–4174,.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Learn- ing loss for test-time augmentation.NeurIPS, 33:4163–4174,

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation dfaec9cb-c13c-488b-8c3e-2d758052f7d4 · outbound

This paper cites Overconfidence: It depends on how, what, and whom you ask.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Overconfidence: It depends on how, what, and whom you ask

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 26209124-a8dc-40c6-ace2-69f7bd2f134c · outbound

This paper cites Semantic uncertainty: Linguistic invariances for uncertainty estima- tion in natural language generation.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Semantic uncertainty: Linguistic invariances for uncertainty estima- tion in natural language generation

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation dd3620ea-586e-43b5-87ca-78e8ba5f6263 · outbound

This paper cites Simple and scalable predictive uncertainty esti- mation using deep ensembles.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Simple and scalable predictive uncertainty esti- mation using deep ensembles

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f47f486a-d991-4730-b360-d90c218d105d · outbound

This paper cites Naturalbench: Evalu- ating vision-language models on natural adversarial samples.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Naturalbench: Evalu- ating vision-language models on natural adversarial samples

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:43.209512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.347556Z digest=sha256:c830073cd3315711a48f91efbb388bc31af44d6805329737643e7debc6a7fb49

Observation 6a8ee8d6-0b6f-4733-9807-360b39f6531b · outbound

This paper cites Llava-med: Training a large language- and-vision assistant for biomedicine in one day.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Llava-med: Training a large language- and-vision assistant for biomedicine in one day

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:43.196476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.351711Z digest=sha256:7c191f7182c75de79b7526c51c7e33f3bd644bbec933c73219251073b1a56319

Observation 4f5c4e77-4fac-4d21-a155-5c1e9fe4daf8 · outbound

This paper cites Manipllm: Embodied multimodal large language model for object-centric robotic manipulation.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Manipllm: Embodied multimodal large language model for object-centric robotic manipulation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:43.182982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 002ac36a-f2f9-43c9-ad2e-fa6eb4f109c7 · outbound

This paper cites Evaluating object hallucination in large vision-language models.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Evaluating object hallucination in large vision-language models

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:43.169141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.359969Z digest=sha256:7d20b58a5262d10633ca26a4fcf433129205a699a63b1c4dabe09b4f529f781e

Observation 73606058-2e80-43a6-a86f-0e7bf71049f9 · outbound

This paper cites Mitigating hallucination in large multi-modal models via robust instruction tuning.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Mitigating hallucination in large multi-modal models via robust instruction tuning

Reference 29

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:47:42.364073Z digest=sha256:a92672e9bcc7af28b8784d3afc54cc69c7e59ec9cbea0f8ddd002d0a2efcd892

Observation fbcba3c8-4c83-426c-9124-a975bdb0775d · outbound

This paper cites Improved baselines with visual instruction tuning.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Improved baselines with visual instruction tuning

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:43.148632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a8f27a14-26e9-4b5e-bffa-63173b35ce7d · outbound

This paper cites Visual instruction tuning.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Visual instruction tuning

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.372325Z digest=sha256:8554a7b8da5ce5f67c9499a0d603a6a6c586f0caa6785f41cf69a8417d997530

Observation 082b4d6e-2a8c-45db-9953-35cc0c04d668 · outbound

This paper cites A survey on hallucination in large vision-language models.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation A survey on hallucination in large vision-language models

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:43.122178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.376689Z digest=sha256:b667652d64062bcddb3d876f5414a84d2d3e22487bce6cc40572a5d8501a5200

Observation 0bd59b93-a902-4ac9-ad31-1a4499394a4e · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Learn to explain: Multimodal reasoning via thought chains for science question answering

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:43.107551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.381722Z digest=sha256:f3341b48feebe7720d490758d28f91a8a5e3ddf180f33d34b18f418d6f320a7c

Observation 8e938291-36d4-49d7-a13b-e3fac7b3770e · outbound

This paper cites Greedy policy search: A simple baseline for learnable test-time augmenta- tion.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Greedy policy search: A simple baseline for learnable test-time augmenta- tion

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:43.093965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.385829Z digest=sha256:ab20654db40625343c0ea537ca9f18078528d4181e9081bda2b4d57008a5ff9b

Observation 7b5b8f58-e5cd-4f23-a7c2-d47ad2709737 · outbound

This paper cites Grade expecta- tions: Rationality and overconfidence.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Grade expecta- tions: Rationality and overconfidence

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:43.081491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.389758Z digest=sha256:196ed10f9a9a4a1403d64c656c8e4f196ea796399cb2613362ba7cb2896fa9b1

Observation 5a7b827a-2011-451f-aaff-613aa69a5650 · outbound

This paper cites Predictive uncertainty es- timation via prior networks.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Predictive uncertainty es- timation via prior networks

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:43.067994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.394164Z digest=sha256:c7544c059869934fd48993e55fb97d9cf33f95fc4e6acaaae03e9c702ed7d701

Observation 32f3cc87-f063-4360-b613-4c13bc2f3b3e · outbound

This paper cites En- semble distribution distillation.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation En- semble distribution distillation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:43.054370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.398928Z digest=sha256:7e6c5704e1d5ff062eea7a64c2e4ce9c7cdfb4fecb77cf115ae4977d85de5f26

Observation 1443cdf0-22a7-4d6f-b592-9c7574376009 · outbound

This paper cites Dropout sampling for robust object detection in open-set conditions.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Dropout sampling for robust object detection in open-set conditions

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:43.038088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.403151Z digest=sha256:4a939619091896960f1d90d241a157957fe55c45d3304f7c920b9a314b5e137e

Observation c5a43b18-e810-419d-922e-b4f2ae9b221a · outbound

This paper cites Med-flamingo: a multimodal medical few-shot learner.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Med-flamingo: a multimodal medical few-shot learner

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:43.024493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.407516Z digest=sha256:6fe0ef8e714594b62afc40b122c9f3537546dbdf4caa290a689614f139e7bf13

Observation 77b7d5c6-77b8-45f6-a59d-c41528c841f5 · outbound

This paper cites Kosmos-2: Grounding multimodal large language models to the world.ICLR, 2024.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Kosmos-2: Grounding multimodal large language models to the world.ICLR, 2024

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:43.010469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.420497Z digest=sha256:34adceabc937ce410ebb54d8af62fc372929cd3026208b05da8fbdecba3df36a

Observation 09aa6522-3592-4c0f-a32f-2be3c93c8e8b · outbound

This paper cites Object hallucination in image cap- tioning.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Object hallucination in image cap- tioning

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.996583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.425486Z digest=sha256:dd1f8de33f2143cd10c676369cba7ae915ff2862586b345df71a40aac67bbb31

Observation ec9c7d11-7c82-4706-9ae7-afd0d71ce503 · outbound

This paper cites A comprehensive sur- vey of hallucination in large language, image, video and au- dio foundation models.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation A comprehensive sur- vey of hallucination in large language, image, video and au- dio foundation models

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.983293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.429711Z digest=sha256:cc2cb3c8da2ced8f78a57ff29d9f7044949797bdf51af1020f097fe341c5e889

Observation 3cf567bf-34f1-4d38-962f-29c6c4060487 · outbound

This paper cites Evi- dential deep learning to quantify classification uncertainty.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Evi- dential deep learning to quantify classification uncertainty

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.969163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.433889Z digest=sha256:d5d0e03903edc51c2b674579b8394ed39bf0f36663db240be63c0b99bb4812d3

Observation c51972de-e2ac-469e-a330-0ca7c1b2b2d9 · outbound

This paper cites Better aggregation in test-time augmentation.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Better aggregation in test-time augmentation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.953250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.437962Z digest=sha256:2d1dede26058a8970f04edffe9bf4033ba62419af5204ab07056e971db78debf

Observation 4bbcc783-4552-418f-ab7f-456fb3326685 · outbound

This paper cites Aligning large mul- timodal models with factually augmented rlhf.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Aligning large mul- timodal models with factually augmented rlhf

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.938319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.442801Z digest=sha256:035c54a30aed66a509cd8b2d38c755fb726fb760112d4f564b5b8ff230ca5e04

Observation 49fbf13f-e1fc-4a08-9ccc-5592596059a3 · outbound

This paper cites Drivevlm: The convergence of autonomous driving and large vision-language models.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Drivevlm: The convergence of autonomous driving and large vision-language models

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.923213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.446911Z digest=sha256:e080f7cec1287b5194f616cfacf1a0164ed8de4b76c959936455c6dc2c2ec06b

Observation 266048b2-b5a1-4da5-8b02-7cd9e99a4bfd · outbound

This paper cites Aleatoric un- certainty estimation with test-time augmentation for medi- cal image segmentation with convolutional neural networks.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Aleatoric un- certainty estimation with test-time augmentation for medi- cal image segmentation with convolutional neural networks

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-12T18:47:42.451377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:47:42.451377Z digest=sha256:88df23f7c8645c3adda388662bd1582f5f15d9ee60dfca868baf158a62528cf1

Observation 09fec39a-5d86-40ad-b636-46cea9157ed6 · outbound

This paper cites Evaluation and analysis of hallu- cination in large vision-language models.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Evaluation and analysis of hallu- cination in large vision-language models

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.901361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.456139Z digest=sha256:d68d6de6dd2dc74e154eddbdf5e98c03b1111850eae4ee9f5a8bf8f12e7b7c9d

Observation 5e26e3dc-e59b-49f8-b14f-73d96bf0a259 · outbound

This paper cites Qwen2-vl: Enhancing vision-language model’s perception of the world at any resolution.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Qwen2-vl: Enhancing vision-language model’s perception of the world at any resolution

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.888248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.460361Z digest=sha256:85b18962e47d72e6f7be922e609ec2866dbe67d34f4428c785b7bd7c97af8163

Observation 1e219afc-a461-48d0-bcc7-bf98894c3fa4 · outbound

This paper cites Mfc-bench: Benchmarking mul- timodal fact-checking with large vision-language models.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Mfc-bench: Benchmarking mul- timodal fact-checking with large vision-language models

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.875285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.465090Z digest=sha256:e3c0c3f1e375483f8f058e3bb1efd1d10539fb14fb9b36a0b343e3a1fe7ed5e1

Observation 84d1d2bd-cc12-4ca8-aca2-c14e16e14d2f · outbound

This paper cites Drivemlm: Aligning multi-modal large language models with behavioral planning states for autonomous driving.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Drivemlm: Aligning multi-modal large language models with behavioral planning states for autonomous driving

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.861687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.469287Z digest=sha256:44e0f121f30376d6f3208ff678b053c67db5bd6c8f7d0a79173917e29967ff51

Observation 34c08fe3-ae5e-44a6-a830-aedea4bf54fa · outbound

This paper cites Bayesian learning via stochas- tic gradient langevin dynamics.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Bayesian learning via stochas- tic gradient langevin dynamics

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.849095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.473325Z digest=sha256:810f0add6b913319ae219fd851e19f2e729b65c63eeef44cdc4af32f26b180cd

Observation 13b67c2f-cc23-48c4-9e30-8513a93da4e4 · outbound

This paper cites Batchensemble: an alternative approach to efficient ensemble and lifelong learning.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Batchensemble: an alternative approach to efficient ensemble and lifelong learning

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.836335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.478085Z digest=sha256:00c1c655a48c58b4484cb98e55249bd7e1e43225842f03a935a25a55e01e9ad4

Observation 62d04520-9bd9-4e11-863f-c954a11c3ca3 · outbound

This paper cites Next-gpt: Any-to-any multimodal llm.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Next-gpt: Any-to-any multimodal llm

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.823788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.482573Z digest=sha256:432b44cd76049bc14358bca0c7db0a1577d52216a9c25e6c210edd6a01b5590c

Observation 413a5b39-23dd-4e1a-adcf-1e43dcec876e · outbound

This paper cites Detecting and mitigating hallucination in large vision language models via fine-grained ai feedback.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Detecting and mitigating hallucination in large vision language models via fine-grained ai feedback

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.811358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.486792Z digest=sha256:b26f8e3849d95f1d27e504564c8052b107d58e78d1163bfbb908108dd37dd4e9

Observation 02d2abe3-beaa-4319-86b6-f5c09432f436 · outbound

This paper cites Can llms express their un- certainty? an empirical evaluation of confidence elicitation in llms.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Can llms express their un- certainty? an empirical evaluation of confidence elicitation in llms

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.799134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.491745Z digest=sha256:8ddebaca6a4bb6f74b52c9b06c97054b0ef55bb06bb35974ca4d84a97c46fa35

Observation 3385f37d-4b2e-46b4-bf22-65a63acd4c35 · outbound

This paper cites Robust person re-identification by modelling feature uncertainty.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Robust person re-identification by modelling feature uncertainty

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.786965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.496760Z digest=sha256:60db179669c89727b795485d055d58365b26f00d89f36c4d7ac8968616929435

Observation 652fb41b-4871-494e-9c31-0cfd5cb9a1e6 · outbound

This paper cites Mm-vet: Evaluating large multimodal models for integrated capabilities.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Mm-vet: Evaluating large multimodal models for integrated capabilities

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.775111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.501171Z digest=sha256:e216ff609c1a978f84a57d3b95b130315706bc2c3e553823c187ea6d1e3be21e

Observation 18ae435c-0b8b-4b6c-8810-a9a676f8bc36 · outbound

This paper cites Osprey: Pixel un- derstanding with visual instruction tuning.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Osprey: Pixel un- derstanding with visual instruction tuning

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.762162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.506070Z digest=sha256:1b6fadfc753232f165fdefd3b5a2b17d194551a8a266c7db7eacdf1fb53d1890

Observation 64c7c825-8feb-436f-b8d3-444088dc180a · outbound

This paper cites Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for ex- pert agi.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for ex- pert agi

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.749443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.510628Z digest=sha256:92bcebfc5d015cdb03cee6cbdb47bd6878a0a5c0140a5d4e3f7693992e30a774

Observation 85304409-c9be-423f-ae8e-a7894b4443fe · outbound

This paper cites Halle-switch: Controlling object hallucination in large vision language models.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Halle-switch: Controlling object hallucination in large vision language models

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.736817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.516305Z digest=sha256:fcbedcbd75f6b048ad1acc7f6d22233d748519a27b1604e088106d3be6a6eaeb

Observation 7cda0db8-4569-4c8c-aafd-1a25c658f588 · outbound

This paper cites Ctrl-u: Robust conditional image gener- ation via uncertainty-aware reward modeling.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Ctrl-u: Robust conditional image gener- ation via uncertainty-aware reward modeling

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.724057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.520720Z digest=sha256:c4fc47fadc5c5befed489f8831d29824d62e2d628d0260849f78b41b9a3e2004

Observation 40ba34b6-dc99-4ac6-9e9d-ad8131bf8c41 · outbound

This paper cites Harnessing uncertainty-aware bounding boxes for unsuper- vised 3d object detection.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Harnessing uncertainty-aware bounding boxes for unsuper- vised 3d object detection

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.711415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.525204Z digest=sha256:8f997c2ab52cd7bf59921ac0198fa93d95db13d0ea2fb9decbf3e54f334c0185

Observation c2fd528b-b001-4885-9ab9-5f345171c571 · outbound

This paper cites Rectifying pseudo label learn- ing via uncertainty estimation for domain adaptive seman- tic segmentation.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Rectifying pseudo label learn- ing via uncertainty estimation for domain adaptive seman- tic segmentation

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.698705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.529238Z digest=sha256:4b8318813390e1b0ade08e70b11b1470e2614f99636952e6819fa60ebbef711e

Observation a5dc52ae-77bd-4f0b-b2ae-bf1173b36c9d · outbound

This paper cites Minigpt-4: Enhancing vision-language understanding with advanced large language models.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Minigpt-4: Enhancing vision-language understanding with advanced large language models

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-12T18:47:42.534487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:47:42.534487Z digest=sha256:d5ebed4fd2d021dd0c137fad3d1209bc7c42825736e3ef6191aa90c0f49c32ef

Observation 9dee7d23-5ec7-4a6c-83a9-ee483b4eb147 · outbound

This paper cites However, we believe the uncertainty es- timated by VL-Uncertainty can benefit the fine-tuning pro- cess.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation However, we believe the uncertainty es- timated by VL-Uncertainty can benefit the fine-tuning pro- cess

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.662802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.543453Z digest=sha256:baf397226fc5cf52cf0743498df26f9e83592c9c4fcb9e35f35a967b968cedc3

Observation 4e18e32a-886f-43b5-85ce-beddd98499c3 · outbound

This paper cites We present the ablation study of the combination order for vision-language prompts in Table 3.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation We present the ablation study of the combination order for vision-language prompts in Table 3

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.649751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.548174Z digest=sha256:24fff7b389b82a83ac980bea66413a47a0210302e9309605c83a096edc608883

Observation a83bb4f0-00bb-46c6-91ac-6533477ddda2 · outbound

This paper cites We present case studies of accurate VL- Uncertainty hallucination detection on MMVet (free-form benchmark) in Fig.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation We present case studies of accurate VL- Uncertainty hallucination detection on MMVet (free-form benchmark) in Fig

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.635593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.552878Z digest=sha256:f0e95d205f913386120cd7a6c6466d71a05d2f6e4600f49fb97217ef93e9c565

Observation f8472c60-55bf-4043-80df-e4d765affdee · outbound

This paper cites We present a detailed introduction to the 10 LVLMs adopted in our experiments in Table 7.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation We present a detailed introduction to the 10 LVLMs adopted in our experiments in Table 7

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.620143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.557338Z digest=sha256:66e377915cd7ebf66445eabab898fb635f63695bd78833c23bea7dbf7037a27b

Observation 2a5917c5-691f-4a66-b559-5e0e83fc01ae · outbound

This paper cites stack more layers.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation stack more layers

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:47:42.603173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.561575Z digest=sha256:efe253209c9923ad01ad589f15ef9c2d08b7e083b3ab48d7b39cf65953715b3b

Observation 342599b6-e749-4c05-8ccd-af91b98cb7e6 · outbound

This paper cites an unresolved cited work.

VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation Unresolved cited work

Reference 2024

Resolution
unresolved
raw_fallback, observed 2026-08-12T18:47:42.675875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:47:42.539189Z digest=sha256:d7701854b0de2b762af34ed1044278ca6b850e00cf15c3860d9c9bf7fc15e702

Pith citing papers

Observation c4713591-a4ae-4560-b8de-25956d29ae11 · inbound

Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction cites this paper.

Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T10:39:35.800409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:39:35.800409Z digest=sha256:d74c964ccccdbb1a5e8964a028faecfde22550012bd9381792af5d662a5a56d6

Observation e93b0ff0-392b-4232-a1bb-64d78e2c2c84 · inbound

Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding cites this paper.

Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-16T04:54:19.605281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:54:19.605281Z digest=sha256:8109c6b7ecbc4e06fb615304753ba6a53fb456c5dbc4bddf093ad5ca72ee0d7a

Observation c37699cb-f054-4069-b4f9-0acb61fa0027 · inbound

Are vision language models robust to uncertain inputs? cites this paper.

Are vision language models robust to uncertain inputs? VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-15T20:52:56.479782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:52:56.479782Z digest=sha256:8d5737f3b56e3c4e7c2fda04a4d979c62e04bdb326afb2ab07f68b696a39ef55

Observation 140db751-7cb8-4809-9e30-2e832334feb1 · inbound

MIRAGE: Assessing Hallucination in Multimodal Reasoning Chains of MLLM cites this paper.

MIRAGE: Assessing Hallucination in Multimodal Reasoning Chains of MLLM VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-07T12:33:13.190579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:33:13.190579Z digest=sha256:a2acdd8f8a6fc85a3ddf32c3ec8e7050a1942c5f9bab904e90f256c0823584cb

Observation 779e9274-3a55-4091-82cb-427bc5ba9813 · inbound

Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images cites this paper.

Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:36.890342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:43:36.890342Z digest=sha256:dd6c83795846106caec72a41193bc5aa1eeae4e8582e95d48dd73f2a6c42bffa

Observation a5cf42fd-d216-42ae-a7d1-3d8de849d069 · inbound

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models cites this paper.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:15.783537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:36:15.783537Z digest=sha256:5a0b9f4268d37646aa2ba9e4d56fb9fb4c5770c1cb1be56554c3c3e21a49b321

Observation 7c93109c-6d22-46cc-a305-37f27478a0ce · inbound

COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees cites this paper.

COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T18:27:28.001653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:27:28.001653Z digest=sha256:a0f487a7e798e3da3ed2f7956d4c584cbf97723832f7095111da1319ae238ab0

Observation 19fc7aae-7965-4764-9987-67ef2f304ae5 · inbound

Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications cites this paper.

Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T16:39:50.872235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:39:50.872235Z digest=sha256:cc5689a97c48655ee9ee79e408685d8612dbf211b2e1b2e9792aca99f897723c

Observation f92b973e-abde-4fb5-b0bb-07b331e1f4bf · inbound

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey cites this paper.

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 185

Resolution
unresolved
no resolver link, observed 2026-08-05T20:29:01.576489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:29:01.576489Z digest=sha256:e8fa47c3641b2bdaf9c44be50ba95cad84bb53829754b34d408616a7bd2d65f6

Observation ee3320e2-862a-4e42-8017-d6c407c2e0da · inbound

When to Trust the Answer: Question-Aligned Semantic Nearest Neighbor Entropy for Safer Surgical VQA cites this paper.

When to Trust the Answer: Question-Aligned Semantic Nearest Neighbor Entropy for Safer Surgical VQA VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:22:15.694313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-18T01:21:26.854636Z digest=sha256:e59e11be953ad231d8c5ae2f861573afe52651f43a6646364e309d48af8fa923

Observation b866bcbb-00d0-46e3-a260-29542582de89 · inbound

LEC: Linear Expectation Constraints for Selection-Conditioned Risk Control in Selective Prediction and Routing Systems cites this paper.

LEC: Linear Expectation Constraints for Selection-Conditioned Risk Control in Selective Prediction and Routing Systems VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T19:18:19.282444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:18:19.282444Z digest=sha256:de0a28e116684f1453bca1e9060cc575f33ca119d0c3122aa2d3176ae9aaddad

Observation 7050f6f6-5334-4817-a7fb-de173a37908b · inbound

Deterministic Hallucination Detection in Medical VQA via Confidence-Evidence Bayesian Gain cites this paper.

Deterministic Hallucination Detection in Medical VQA via Confidence-Evidence Bayesian Gain VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-02T17:47:52.183151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:47:52.183151Z digest=sha256:0d45f0c28dad627b68945b89acaa188194a0618f5bd3d582635a99c0d4e16d09

Observation 49c7c359-bc23-4d5f-b87d-3b061d42ed9a · inbound

When Does Visual Token Pruning Improve Calibration? The Role of Evidence Coverage in MLLMs cites this paper.

When Does Visual Token Pruning Improve Calibration? The Role of Evidence Coverage in MLLMs VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:46:01.077814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T15:51:18.226131Z digest=sha256:a66941b2299f4eeb75e052dcfa37e3615017510b7381afa25c7d647873cc0457

Observation 588a51cc-e4fa-410c-acba-e64b11545a94 · inbound

When Does Visual Token Pruning Improve Calibration? The Role of Evidence Coverage in MLLMs cites this paper.

When Does Visual Token Pruning Improve Calibration? The Role of Evidence Coverage in MLLMs VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T16:23:54.473437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:23:54.473437Z digest=sha256:644fc986917839fd8a4a6bf92e4a9af6ef917829ea4e37d66ee785a6263f028b

Observation 5b1566f5-6a80-47af-9557-9234ab1f2b29 · inbound

Prompt-Induced Score Variance in Zero-Shot Binary Vision-Language Safety Classification cites this paper.

Prompt-Induced Score Variance in Zero-Shot Binary Vision-Language Safety Classification VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:26:08.240408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-09T20:05:05.030788Z digest=sha256:1a42a1e84b4246871c96991f87d47b0f9cd26f1afb83801552d85dca2b1fc3aa

Observation cf6fe630-f016-4da5-a219-29537818de64 · inbound

Grounded or Guessing? LVLM Confidence Estimation via Blind-Image Contrastive Ranking cites this paper.

Grounded or Guessing? LVLM Confidence Estimation via Blind-Image Contrastive Ranking VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:46:46.360359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T03:58:46.417344Z digest=sha256:1771f23e11832fc1f96f613047a59fba45c4707bda5cda4054a5d6b6044c96a2

Observation d9a638db-8fa0-43ea-9252-5e98f3dfd541 · inbound

Grounded or Guessing? LVLM Confidence Estimation via Blind-Image Contrastive Ranking cites this paper.

Grounded or Guessing? LVLM Confidence Estimation via Blind-Image Contrastive Ranking VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T17:12:41.171096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-19T17:10:13.032423Z digest=sha256:24c7099580b6c3016f7fc43b7f14cfd6f5d82f9d5806762fe2e2d6c5c1400797

Observation 359d7ac0-0d1f-468d-8dd4-d3d21bf31a75 · inbound

BalanceRAG: Joint Risk Calibration for Cascaded Retrieval-Augmented Generation cites this paper.

BalanceRAG: Joint Risk Calibration for Cascaded Retrieval-Augmented Generation VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:23:03.752601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-20T05:19:45.438362Z digest=sha256:5dd9f286c1898d12e0e04c497e35be6e8ac98be3678d2f147e093a7cd5f82d32

Observation b8c6c348-fc76-4e34-a47d-dcaa1a797e3f · inbound

VIHD: Visual Intervention-based Hallucination Detection for Medical Visual Question Answering cites this paper.

VIHD: Visual Intervention-based Hallucination Detection for Medical Visual Question Answering VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:53:59.121213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T05:52:56.755337Z digest=sha256:330fa79aea095743798f0015a3592b00eb9356975d6d8dc22eb4248a2fe157c3

Observation d0273ba3-8999-4034-a171-df759b7df4b3 · inbound

VIHD: Visual Intervention-based Hallucination Detection for Medical Visual Question Answering cites this paper.

VIHD: Visual Intervention-based Hallucination Detection for Medical Visual Question Answering VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:34:57.414277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T17:32:47.303964Z digest=sha256:82f592a65de8f15c86ca9af5061feddba5b33c4af8520cb2fd7f12308d4d7865

Observation f0940e14-023b-437d-a61a-814b63b124f2 · inbound

Hide-and-Seek in Trajectories: Discovering Failure Signals for VLA Runtime Monitoring cites this paper.

Hide-and-Seek in Trajectories: Discovering Failure Signals for VLA Runtime Monitoring VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-06-28T22:42:46.594261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T22:39:15.211339Z digest=sha256:09a9a70a3cd4c407020cad4cc2f812977fdb3f74553c905418a7f525659b98d1

Observation fd904846-ad39-4919-9f11-ae0b5dcd110d · inbound

Perturbation-Based Uncertainty for Failure Detection in Vision-Language-Action Models cites this paper.

Perturbation-Based Uncertainty for Failure Detection in Vision-Language-Action Models VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:59:33.367518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T17:26:22.064966Z digest=sha256:dd476f8db7ec82573e3b7750345cee5ff57841331c244884f172283c0cfd0ca6

Observation c425e2a0-74ec-49ba-a691-4bb39cf01a83 · inbound

Uncertainty Quantification for Computer-Use Agents: A Benchmark across Vision-Language Models and GUI Grounding Datasets cites this paper.

Uncertainty Quantification for Computer-Use Agents: A Benchmark across Vision-Language Models and GUI Grounding Datasets VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:50:10.538931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-25T20:59:47.212513Z digest=sha256:87148f32b6ce11041742caf2807676bbd256e2e409b2146fc043397e1b0e4265

Observation 6fd5e3e9-e5ba-43e8-a4d8-e4d75d08551c · inbound

GAVEL: Grounded Caption Error Verification and Localization cites this paper.

GAVEL: Grounded Caption Error Verification and Localization VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 100

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:59:52.223119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-26T04:44:48.346335Z digest=sha256:143cdfbcea7afd31ba7da0f813ee044d608fe51556bb9407045c219a2fa01594

Observation ada1a263-7987-4df7-bba5-447a75c81317 · inbound

Visual Semantic Entropy: Do Vision Language Models Recognize Visual Ambiguity? cites this paper.

Visual Semantic Entropy: Do Vision Language Models Recognize Visual Ambiguity? VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-01T10:25:41.433763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-01T05:34:28.729037Z digest=sha256:ddffb923db39fb50fe1c385b8ed42d3382183d400a28eac8f68e9978a20aaa0a

Observation 42a03123-27c2-49a4-aec7-0ab9aa014145 · inbound

CoMet: Context and Multiplicity Decomposition for Multimodal Uncertainty Estimation cites this paper.

CoMet: Context and Multiplicity Decomposition for Multimodal Uncertainty Estimation VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:45:40.393619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-01T06:13:03.820392Z digest=sha256:f449ae68b3efa1853e500632e76918ca54e2a42bb315f6d677c0c7cb23d861c2

Observation 39b721c5-0776-4b7d-94c1-9f1a53aa68d6 · inbound

HalluScope: Fine-grained Hallucination Diagnosis for Multimodal Large Language Models cites this paper.

HalluScope: Fine-grained Hallucination Diagnosis for Multimodal Large Language Models VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-01T08:33:11.652157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:33:11.652157Z digest=sha256:fdad989f7f7212f27fd5422c2513d4b04d65473dcf8aebb45c55c269c14900e9

Observation 6aac53ca-1d9b-46f5-a3b3-8b02ce4ddb1e · inbound

It's the Decoding Format, Not the Perturbation: Auditing Consistency-Based Selection for Vision-Language Test-Time Scaling cites this paper.

It's the Decoding Format, Not the Perturbation: Auditing Consistency-Based Selection for Vision-Language Test-Time Scaling VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T00:31:38.838232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:31:38.838232Z digest=sha256:88e1408c9c12e4c6997a6b520e39d78a6e240e4cd06dd56c0e26af6c0a01f361

Observation 174db91d-e3ba-4323-b5a0-3b460cbac60a · inbound

It's the Decoding Format, Not the Perturbation: Auditing Consistency-Based Selection for Vision-Language Test-Time Scaling cites this paper.

It's the Decoding Format, Not the Perturbation: Auditing Consistency-Based Selection for Vision-Language Test-Time Scaling VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-06T04:18:04.246376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:18:04.246376Z digest=sha256:f35dabb94e40c90c2f981f4999cc048010580b2c534da058f7f924d11f489f93

Observation d8450b18-d026-4d72-800f-7b14558c59b5 · inbound

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering cites this paper.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-08T04:34:22.718875Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T04:34:22.718875Z digest=sha256:53952c7c89ab3a3d7de8b9dbbf18e8fbeadf4a73c57d86850e944d9cf40939d1

Observation c015198a-6c34-4120-8719-3315e8f7b1d2 · inbound

Consistency Has a Computable Blind Spot: A Commutation Theory of Label-Free Reliability for Vision-Language Figure Reading cites this paper.

Consistency Has a Computable Blind Spot: A Commutation Theory of Label-Free Reliability for Vision-Language Figure Reading VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T04:25:12.547977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:25:12.547977Z digest=sha256:849593bc46f5b11940479f3f0b22ae0ade268cd4c631d0e5956a12392004c9ea

Observation 77bcbe55-f20b-437b-b5d9-0d51fb47b9bf · inbound

Consistency Has a Computable Blind Spot: A Commutation Theory of Label-Free Reliability for Vision-Language Figure Reading cites this paper.

Consistency Has a Computable Blind Spot: A Commutation Theory of Label-Free Reliability for Vision-Language Figure Reading VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T04:34:36.463033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:34:36.463033Z digest=sha256:99b97d56d8518c972d7858b8a4b304a9c676b90ef1a2af9d320e19c3391e7be7

Observation 988f5078-fc36-4e62-bf4f-39916e22b357 · inbound

Confidence Estimation for Financial Vision-Language Models in Chart and Document Understanding cites this paper.

Confidence Estimation for Financial Vision-Language Models in Chart and Document Understanding VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T04:22:10.258973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:22:10.258973Z digest=sha256:bfd056313c7ddd11b0e36e0cebfe659abf9ac2aeb5175c3cf15a4e3247617d01