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Paper Citation Record · LEDGER

Are vision language models robust to uncertain inputs?

As of 19 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2505.11804.

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

pith.paper-citation-record.v1
2505.11804 v1

Coverage vector

measured 71 of 71 reference resolution

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measured 71 of 71 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

71 of 71 outbound references displayed

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External citation measurements

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Outbound references

Observation 18507cf6-fa64-42c8-a597-7579c6eb2054 · outbound

This paper cites Deep ensembles work, but are they necessary? Advances in Neural Information Processing Systems, 35: 0 33646--33660, 2022.

Are vision language models robust to uncertain inputs? Deep ensembles work, but are they necessary? Advances in Neural Information Processing Systems, 35: 0 33646--33660, 2022

Reference 1

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Observation cedbbd0d-2ac8-4b79-84b4-cfd16e41c138 · outbound

This paper cites GPT-4 Technical Report.

Are vision language models robust to uncertain inputs? GPT-4 Technical Report

Reference 2

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Observation 32883431-9e4a-4109-8670-305fe033f781 · outbound

This paper cites Bayesian filtering unifies adaptive and non-adaptive neural network optimization methods.

Are vision language models robust to uncertain inputs? Bayesian filtering unifies adaptive and non-adaptive neural network optimization methods

Reference 3

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Observation 98763080-81ab-4a34-9f7e-ed17ac2864b2 · outbound

This paper cites A statistical theory of cold posteriors in deep neural networks.

Are vision language models robust to uncertain inputs? A statistical theory of cold posteriors in deep neural networks

Reference 4

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Observation 3665f6b7-1bdd-461a-aa8e-a208f0dd2ce1 · outbound

This paper cites Qwen2.5-VL Technical Report.

Are vision language models robust to uncertain inputs? Qwen2.5-VL Technical Report

Reference 5

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Observation 4e551cba-c77d-4954-a260-a34f4b1a7644 · outbound

This paper cites Weight uncertainty in neural network.

Are vision language models robust to uncertain inputs? Weight uncertainty in neural network

Reference 6

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This paper cites End to End Learning for Self-Driving Cars.

Are vision language models robust to uncertain inputs? End to End Learning for Self-Driving Cars

Reference 7

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Observation 8feb991c-09b1-48d0-b355-4af6de7efb2a · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Are vision language models robust to uncertain inputs? Emerging properties in self-supervised vision transformers

Reference 8

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Observation 78f2582b-d383-4c68-959b-63e97d64830b · outbound

This paper cites Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models.

Are vision language models robust to uncertain inputs? Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models

Reference 9

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This paper cites Repulsive deep ensembles are bayesian.

Are vision language models robust to uncertain inputs? Repulsive deep ensembles are bayesian

Reference 10

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This paper cites Laplace redux-effortless bayesian deep learning.

Are vision language models robust to uncertain inputs? Laplace redux-effortless bayesian deep learning

Reference 11

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Observation 411fca6d-3fe0-4435-ab31-eca4fc948e88 · outbound

This paper cites Bayesian deep learning via subnetwork inference.

Are vision language models robust to uncertain inputs? Bayesian deep learning via subnetwork inference

Reference 12

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Observation fccc8526-d3e9-481a-beb7-2668b5773282 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Are vision language models robust to uncertain inputs? Imagenet: A large-scale hierarchical image database

Reference 13

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This paper cites The Llama 3 Herd of Models.

Are vision language models robust to uncertain inputs? The Llama 3 Herd of Models

Reference 14

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This paper cites Dermatologist-level classification of skin cancer with deep neural networks.

Are vision language models robust to uncertain inputs? Dermatologist-level classification of skin cancer with deep neural networks

Reference 15

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This paper cites Are foundation models for computer vision good conformal predictors? arXiv preprint arXiv:2412.06082, 2024.

Are vision language models robust to uncertain inputs? Are foundation models for computer vision good conformal predictors? arXiv preprint arXiv:2412.06082, 2024

Reference 16

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Observation 557ddf94-84ee-4f41-bfe9-806916e29bf8 · outbound

This paper cites Exploring the limits of out-of-distribution detection.

Are vision language models robust to uncertain inputs? Exploring the limits of out-of-distribution detection

Reference 17

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

Are vision language models robust to uncertain inputs? Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 18

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Are vision language models robust to uncertain inputs? LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model

Reference 19

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Are vision language models robust to uncertain inputs? Recent advances in open set recognition: A survey

Reference 20

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Are vision language models robust to uncertain inputs? Practical variational inference for neural networks

Reference 21

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This paper cites Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models.

Are vision language models robust to uncertain inputs? Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models

Reference 22

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Are vision language models robust to uncertain inputs? On calibration of modern neural networks

Reference 23

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Are vision language models robust to uncertain inputs? Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Reference 24

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This paper cites Deep Anomaly Detection with Outlier Exposure.

Are vision language models robust to uncertain inputs? Deep Anomaly Detection with Outlier Exposure

Reference 25

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Are vision language models robust to uncertain inputs? Pixmix: Dreamlike pictures comprehensively improve safety measures

Reference 26

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Are vision language models robust to uncertain inputs? Meta-learning in neural networks: A survey

Reference 27

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Are vision language models robust to uncertain inputs? Improving predictions of bayesian neural nets via local linearization

Reference 28

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Are vision language models robust to uncertain inputs? What are bayesian neural network posteriors really like? In International Conference on Machine Learning, pp.\ 4629--4640

Reference 29

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Are vision language models robust to uncertain inputs? Language Models (Mostly) Know What They Know

Reference 30

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Are vision language models robust to uncertain inputs? What uncertainties do we need in bayesian deep learning for computer vision? Advances in neural information processing systems, 30, 2017

Reference 31

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This paper cites Uncertainty-Aware Evaluation for Vision-Language Models.

Are vision language models robust to uncertain inputs? Uncertainty-Aware Evaluation for Vision-Language Models

Reference 32

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Are vision language models robust to uncertain inputs? Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

Reference 33

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Are vision language models robust to uncertain inputs? Simple and scalable predictive uncertainty estimation using deep ensembles

Reference 34

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Are vision language models robust to uncertain inputs? Visual instruction tuning

Reference 35

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Are vision language models robust to uncertain inputs? Improved baselines with visual instruction tuning

Reference 36

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Are vision language models robust to uncertain inputs? Simple and principled uncertainty estimation with deterministic deep learning via distance awareness

Reference 37

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Are vision language models robust to uncertain inputs? A practical bayesian framework for backpropagation networks

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Are vision language models robust to uncertain inputs? A simple baseline for bayesian uncertainty in deep learning

Reference 39

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1df92c4e-f9fb-4b68-a7e8-92ae2bde67d8 · outbound

This paper cites Bayesian exploration of pre-trained models for low-shot image classification.

Are vision language models robust to uncertain inputs? Bayesian exploration of pre-trained models for low-shot image classification

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-15T20:52:57.035027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T20:52:56.369691Z digest=sha256:db3f68fe74825d5f5b0be5d62a8088c87665ab582b483969affa6184104de5f8

Observation 9786d05d-77e2-4617-b395-eb999933a265 · outbound

This paper cites Revisiting the calibration of modern neural networks.

Are vision language models robust to uncertain inputs? Revisiting the calibration of modern neural networks

Reference 41

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no resolver link, observed 2026-08-15T20:52:56.373167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:52:56.373167Z digest=sha256:4e08aecffba9bbe04fcb915123167ab48025ad92939072cc0ebd8141639de930

Observation 3fbeaae9-1b81-4403-89ab-ef0754462a7c · outbound

This paper cites Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey.

Are vision language models robust to uncertain inputs? Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey

Reference 42

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no resolver link, observed 2026-08-15T20:52:56.377150Z

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source=arxiv_source observed=2026-08-15T20:52:56.377150Z digest=sha256:3f2a9b3557e738c8e5c7137cff4326d189d7d59924437cdd63ccac7467afd380

Observation a759f1de-357d-4a06-9a52-dc7320867727 · outbound

This paper cites Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models.

Are vision language models robust to uncertain inputs? Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models

Reference 43

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no resolver link, observed 2026-08-15T20:52:56.380700Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T20:52:56.380700Z digest=sha256:cb6a4f5026640bda2ef2659de29694ab873bc64f3b2be59089dd4a22bf108a5b

Observation 314fb2a4-52ea-41eb-8316-fe777bd7bbc2 · outbound

This paper cites Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift.

Are vision language models robust to uncertain inputs? Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 44

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no resolver link, observed 2026-08-15T20:52:56.384279Z

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source=arxiv_source observed=2026-08-15T20:52:56.384279Z digest=sha256:66cef8cdf889e2b9b3be07a13f9df0d3f51643a70b9a0ee4ce0b567ab6588438

Observation 01d92e8a-6e00-4b10-8277-bfa395f44dd2 · outbound

This paper cites Do Deep Generative Models Know What They Don't Know?.

Are vision language models robust to uncertain inputs? Do Deep Generative Models Know What They Don't Know?

Reference 45

Resolution
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no resolver link, observed 2026-08-15T20:52:56.388125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:52:56.388125Z digest=sha256:c0bf809e10f77490f1db99f05dad21bedec0035fc301a0a26279518b006c176c

Observation 97eb6c3d-b7df-4ff2-9e0e-3493f0283521 · outbound

This paper cites Dropout as a structured shrinkage prior.

Are vision language models robust to uncertain inputs? Dropout as a structured shrinkage prior

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:52:57.018288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T20:52:56.391807Z digest=sha256:d045b8f6c2f1cb3f17f5eb17c4489913008f8a387eeb78bc27fae907aed24d50

Observation 23661cca-18a7-4897-bd4e-4802c7fb251b · outbound

This paper cites Detecting Out-of-Distribution Inputs to Deep Generative Models Using Typicality.

Are vision language models robust to uncertain inputs? Detecting Out-of-Distribution Inputs to Deep Generative Models Using Typicality

Reference 47

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no resolver link, observed 2026-08-15T20:52:56.395152Z

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source=arxiv_source observed=2026-08-15T20:52:56.395152Z digest=sha256:fd600f9477bd1186f015473635233a78ffc78b7444b92a4b150fc616e99d638a

Observation 081cc503-bcec-4137-bf8d-95c2e4f061a2 · outbound

This paper cites Bayesian learning for neural networks, volume 118.

Are vision language models robust to uncertain inputs? Bayesian learning for neural networks, volume 118

Reference 48

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no resolver link, observed 2026-08-15T20:52:56.399665Z

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source=arxiv_source observed=2026-08-15T20:52:56.399665Z digest=sha256:46b43b9eb88b46618b619b1403505850af8c17256aaec8e4cd66f4d9fc444b67

Observation e659dbbd-8eec-4a80-87c0-6a6881a294ce · outbound

This paper cites Kernel language entropy: Fine-grained uncertainty quantification for llms from semantic similarities.

Are vision language models robust to uncertain inputs? Kernel language entropy: Fine-grained uncertainty quantification for llms from semantic similarities

Reference 49

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no resolver link, observed 2026-08-15T20:52:56.402972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:52:56.402972Z digest=sha256:edd7c2675b4da966c829ba6525606bd094155eade21eb449cbf315427a5f2cc8

Observation 4affa65a-5400-4e84-882c-9b1003e73c00 · outbound

This paper cites Measuring calibration in deep learning.

Are vision language models robust to uncertain inputs? Measuring calibration in deep learning

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:52:56.995360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T20:52:56.406558Z digest=sha256:d68412fa3c4ab5a0ebbd5a59db534203169ef5a7badd6c7bcf5e3f5e1c20947a

Observation ca16067b-61ef-45b8-a696-0e60bc86b389 · outbound

This paper cites Can you trust your model's uncertainty? evaluating predictive uncertainty under dataset shift.

Are vision language models robust to uncertain inputs? Can you trust your model's uncertainty? evaluating predictive uncertainty under dataset shift

Reference 51

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no resolver link, observed 2026-08-15T20:52:56.410158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:52:56.410158Z digest=sha256:55fb30a9f50352bcac8f47d3136888162f6e630de389b5f0600d8b77fe369cdc

Observation 5b9ade2a-1121-44ed-9b37-7dd7cfb528ac · outbound

This paper cites Astroclip: a cross-modal foundation model for galaxies.

Are vision language models robust to uncertain inputs? Astroclip: a cross-modal foundation model for galaxies

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:52:56.978470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T20:52:56.413943Z digest=sha256:cb04d6ba70f29f4e6cad924ac6c65bcefe0da5c81096db0b9c695ece9ccd8df7

Observation d5be2ac6-e76c-4631-b302-8022f659b847 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Are vision language models robust to uncertain inputs? Learning transferable visual models from natural language supervision

Reference 53

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unresolved
no resolver link, observed 2026-08-15T20:52:56.417338Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T20:52:56.417338Z digest=sha256:82889aac11adf30281398158dc70f3d4af32584c72c99c5d6a2fcf5c3e92de28

Observation aa6886f8-0ad9-44c3-b141-8b923ab0ae03 · outbound

This paper cites Do imagenet classifiers generalize to imagenet? In International Conference on Machine Learning, pp.\ 5389--5400.

Are vision language models robust to uncertain inputs? Do imagenet classifiers generalize to imagenet? In International Conference on Machine Learning, pp.\ 5389--5400

Reference 54

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no resolver link, observed 2026-08-15T20:52:56.420703Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:52:56.420703Z digest=sha256:3b764bf59d89b8c881cdda95630bdf0115fae1806c2a8cc160e24d22f6806ffe

Observation 13542eb1-a85b-4ccb-a6e5-f3caf72752d5 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Are vision language models robust to uncertain inputs? Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-15T20:52:56.423706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:52:56.423706Z digest=sha256:91592865a605e988800dd1e675f460ae703cb9e876c59fd760a996e46ea11e55

Observation 07cefc81-b209-4592-b42e-868a25a6f874 · outbound

This paper cites Test-time adaptation with state-space models.

Are vision language models robust to uncertain inputs? Test-time adaptation with state-space models

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:52:56.954202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T20:52:56.426760Z digest=sha256:762ca973cbbebbd0520114fb2a109b46bcee3beb39628de02c3c53d3d4c51204

Observation 5659a4ec-665d-483c-b1f5-f1b5b6e784a7 · outbound

This paper cites Improving robustness against common corruptions by covariate shift adaptation.

Are vision language models robust to uncertain inputs? Improving robustness against common corruptions by covariate shift adaptation

Reference 57

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verified fuzzy
raw_fallback, observed 2026-08-15T20:52:56.942893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T20:52:56.430245Z digest=sha256:3ce0bd14aa2359da26f081c9f42a125c7edcab63b00975c95bb3439a73b5f7ae

Observation 95781dc6-27ca-4e6a-a241-61f45e149c6e · outbound

This paper cites Towards Understanding Sycophancy in Language Models.

Are vision language models robust to uncertain inputs? Towards Understanding Sycophancy in Language Models

Reference 58

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no resolver link, observed 2026-08-15T20:52:56.433794Z

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source=arxiv_source observed=2026-08-15T20:52:56.433794Z digest=sha256:092309bdc83be0fd01e97d6938c26d8b2c8c410f827b029fa1564f599c189cb2

Observation c41e84b3-2a9b-4c08-aed7-92108060877c · outbound

This paper cites Ptb-xl, a large publicly available electrocardiography dataset.

Are vision language models robust to uncertain inputs? Ptb-xl, a large publicly available electrocardiography dataset

Reference 59

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no resolver link, observed 2026-08-15T20:52:56.437598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:52:56.437598Z digest=sha256:e75155199c9a0ed9b0eb3868ee9c627594f7242d29f34dcabd3b533abe288382

Observation 0cc9b714-e464-45af-b52e-762c66bfb404 · outbound

This paper cites Galaxymnist: Galaxy images labelled by morphology (shape).

Are vision language models robust to uncertain inputs? Galaxymnist: Galaxy images labelled by morphology (shape)

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:52:56.924197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T20:52:56.441010Z digest=sha256:2cba22e74c4fc48d672f1559e3debefb6d3e781fb0b8822bc8a79ddc84884f7d

Observation 59e6728a-bac4-4de4-8a66-6466038538dd · outbound

This paper cites Galaxy zoo decals: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies.

Are vision language models robust to uncertain inputs? Galaxy zoo decals: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:52:56.912789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T20:52:56.445056Z digest=sha256:d29e4bf749958e10ba5344c3316430051e835d8a588fdd55e8c295b8015adf44

Observation 2d8889da-12f8-4d8f-936e-dd389fceef4c · outbound

This paper cites Towards Galaxy Foundation Models with Hybrid Contrastive Learning.

Are vision language models robust to uncertain inputs? Towards Galaxy Foundation Models with Hybrid Contrastive Learning

Reference 62

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no resolver link, observed 2026-08-15T20:52:56.449341Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:52:56.449341Z digest=sha256:e59ac4ddd8ebfe5d49a07a06c0f3489c1925c00f19a8be65ae957b4df20325c7

Observation 36d6ab4a-e280-4dbb-b23b-a238ae332875 · outbound

This paper cites Tent: Fully test-time adaptation by entropy minimization.

Are vision language models robust to uncertain inputs? Tent: Fully test-time adaptation by entropy minimization

Reference 63

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no resolver link, observed 2026-08-15T20:52:56.453498Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:52:56.453498Z digest=sha256:8d37aa2852659233cff577e127b78d7fc65d899c29898d35216618768050138b

Observation 1cb1d169-314a-471b-8823-5b9e48ab69c2 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Are vision language models robust to uncertain inputs? Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 64

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no resolver link, observed 2026-08-15T20:52:56.457241Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:52:56.457241Z digest=sha256:4c6e1d05d32313ca71cd82a8e281ee49b4079d384a0094efba94b37980c8d2e0

Observation b77bd107-3e42-46b4-85ee-2b089ce05bee · outbound

This paper cites GalaxAlign: Mimicking Citizen Scientists' Multimodal Guidance for Galaxy Morphology Analysis.

Are vision language models robust to uncertain inputs? GalaxAlign: Mimicking Citizen Scientists' Multimodal Guidance for Galaxy Morphology Analysis

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:52:56.564140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T20:52:56.461066Z digest=sha256:23f11252258b8f6d3f7b9d417b7a6dc3c53698109e40a24cab26efa87dd255fb

Observation 234bd614-b79b-4101-b440-a80ba3c63a72 · outbound

This paper cites Robustness to corruption in pre-trained bayesian neural networks.

Are vision language models robust to uncertain inputs? Robustness to corruption in pre-trained bayesian neural networks

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:52:56.894486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T20:52:56.465094Z digest=sha256:e3f031da2665ecd87540e4fbc6be1316e6a061ebe65e62922a8632356a887c76

Observation 82781fd4-39de-4f64-80d9-efe7f6d85d33 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Are vision language models robust to uncertain inputs? Chain-of-thought prompting elicits reasoning in large language models

Reference 67

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no resolver link, observed 2026-08-15T20:52:56.468707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:52:56.468707Z digest=sha256:6f4ed2ca9a94cf895021b633a86c131fad28d6a6b1513aaec0d2a772dd714235

Observation 2a3995fa-a60b-49ea-9616-c3709ae2ab92 · outbound

This paper cites How Good is the Bayes Posterior in Deep Neural Networks Really?.

Are vision language models robust to uncertain inputs? How Good is the Bayes Posterior in Deep Neural Networks Really?

Reference 68

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no resolver link, observed 2026-08-15T20:52:56.472328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:52:56.472328Z digest=sha256:345553fa751384a58b1c0c4fb5dd842420f0c1852ead47cfadb3bf35064c9943

Observation 9d86e994-b039-438f-8674-11e93204d740 · outbound

This paper cites ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms.

Are vision language models robust to uncertain inputs? ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms

Reference 69

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:52:56.536581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T20:52:56.475848Z digest=sha256:5bdc88f606d1a5566f278ff2eee6174d492108ea505d8f4521950fd768f8947c

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

This paper cites VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation.

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

Reference 70

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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:d7bada4f8449547d96de7ebda10beb91a90c9375226c4d995cc547b4e8efff8e

Observation 0c8755d8-47b2-43bf-a95e-f425bc9a2c25 · outbound

This paper cites write newline.

Are vision language models robust to uncertain inputs? write newline

Reference 71

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no resolver link, observed 2026-08-15T20:52:56.483685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.