Paper Citation Record · LEDGER

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes

As of 22 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2606.04314.

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

pith.paper-citation-record.v1
2606.04314 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T07:40:08.789515Z

measured 48 of 48 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

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

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External citation measurements

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Outbound references

Observation 5d132ece-6adc-4686-9297-6423b4428d01 · outbound

This paper cites Convo- lutional neural networks,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Convo- lutional neural networks,

Reference 1

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This paper cites Stereo r-cnn based 3d object detection for autonomous driving,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Stereo r-cnn based 3d object detection for autonomous driving,

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Observation b38983ff-f210-4ed9-aa16-c2a98ca20e2d · outbound

This paper cites Face recognition in unconstrained environment with cnn,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Face recognition in unconstrained environment with cnn,

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This paper cites Cnn-based android malware detection,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Cnn-based android malware detection,

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This paper cites Deepxplore: Automated whitebox testing of deep learning systems,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Deepxplore: Automated whitebox testing of deep learning systems,

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This paper cites Tensorfuzz: De- bugging neural networks with coverage-guided fuzzing,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Tensorfuzz: De- bugging neural networks with coverage-guided fuzzing,

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This paper cites Effective white-box testing of deep neural networks with adaptive neuron-selection strategy,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Effective white-box testing of deep neural networks with adaptive neuron-selection strategy,

Reference 7

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This paper cites Cit4dnn: Generating diverse and rare inputs for neural networks using latent space combinatorial testing,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Cit4dnn: Generating diverse and rare inputs for neural networks using latent space combinatorial testing,

Reference 8

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Observation 402c07ec-7099-4e23-b6af-bbfd90cfd805 · outbound

This paper cites Bet: black- box efficient testing for convolutional neural networks,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Bet: black- box efficient testing for convolutional neural networks,

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This paper cites Neuron semantic-guided test generation for deep neural networks fuzzing,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Neuron semantic-guided test generation for deep neural networks fuzzing,

Reference 10

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Observation cd663c38-7e93-4987-89a1-9a139a2af0f1 · outbound

This paper cites Diffchaser: Detecting disagreements for deep neural networks.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Diffchaser: Detecting disagreements for deep neural networks

Reference 11

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Observation 57a7b5e9-b2b8-4d25-b38c-1ac1dc78e555 · outbound

This paper cites Atom: Automated black-box testing of multi-label image classification systems,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Atom: Automated black-box testing of multi-label image classification systems,

Reference 12

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Observation 126d02c9-db8a-4109-b79d-b914ffa21393 · outbound

This paper cites Dlfuzz: Differential fuzzing testing of deep learning systems,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Dlfuzz: Differential fuzzing testing of deep learning systems,

Reference 13

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Observation 208a4e47-bfeb-4a44-a0be-9cd671d9c8d9 · outbound

This paper cites Robot: Robustness-oriented testing for deep learning systems,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Robot: Robustness-oriented testing for deep learning systems,

Reference 14

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Observation cc7cd929-35ae-49c7-962d-e2b8ff5988a0 · outbound

This paper cites White-box test input generation for enhancing deep neural network models through suspicious neuron awareness,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes White-box test input generation for enhancing deep neural network models through suspicious neuron awareness,

Reference 15

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Observation e69148a6-2b58-4d2a-8879-d30f33151b62 · outbound

This paper cites Is neuron coverage a meaningful measure for testing deep neural networks?.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Is neuron coverage a meaningful measure for testing deep neural networks?

Reference 16

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Observation a711bb86-0d00-430a-b65f-e898c0413a10 · outbound

This paper cites Revisiting neuron coverage metrics and quality of deep neural networks,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Revisiting neuron coverage metrics and quality of deep neural networks,

Reference 17

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Observation 9f2dcc72-ef11-4e97-bd6c-9dfb3eca235a · outbound

This paper cites [Online].

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes [Online]

Reference 18

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Observation 43324485-7a19-488b-b0af-964b84e37134 · outbound

This paper cites On pixel-wise explanations for non-linear classifier deci- sions by layer-wise relevance propagation,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes On pixel-wise explanations for non-linear classifier deci- sions by layer-wise relevance propagation,

Reference 19

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Observation 09c9ae4d-9cf0-45f9-8008-3383627e8056 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 20

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Observation bb993a95-dada-4d46-869f-6d37e5f84d86 · outbound

This paper cites Learning important features through propagating activation differences,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Learning important features through propagating activation differences,

Reference 21

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Observation 6da187bd-c4da-46f8-b72a-3f45a403c7ff · outbound

This paper cites Guided integrated gradients: An adaptive path method for removing noise,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Guided integrated gradients: An adaptive path method for removing noise,

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Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes SmoothGrad: removing noise by adding noise

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Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks,

Reference 24

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Observation 90945260-28ca-4a62-a36f-716183c250cb · outbound

This paper cites A Tutorial on Bayesian Optimization.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes A Tutorial on Bayesian Optimization

Reference 25

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Observation b95ce10c-9fe7-47e1-9d6b-1358bdc35601 · outbound

This paper cites Gaussian process regression for materials and molecules,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Gaussian process regression for materials and molecules,

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This paper cites Expected improvement for expensive optimiza- tion: a review,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Expected improvement for expensive optimiza- tion: a review,

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Observation ed8f6643-d713-48e8-b868-c0568d3374ca · outbound

This paper cites On bayesian upper confidence bounds for bandit problems,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes On bayesian upper confidence bounds for bandit problems,

Reference 28

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This paper cites A review of modern computational algorithms for bayesian optimal design,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes A review of modern computational algorithms for bayesian optimal design,

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Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Variational learning of inducing variables in sparse gaussian processes,

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Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Mnist handwritten digit database,

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This paper cites Gradient-based learning applied to document recognition,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Gradient-based learning applied to document recognition,

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Observation b3d40866-2dd3-48e3-a66c-10b4ff986791 · outbound

This paper cites Learning multiple layers of features from tiny images,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Learning multiple layers of features from tiny images,

Reference 33

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Observation b60cb2e5-3777-4dd2-b101-6d18809e5b3c · outbound

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Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Very Deep Convolutional Networks for Large-Scale Image Recognition

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Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Deep residual learning for image recognition,

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Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Imagenet: A large-scale hierarchical image database,

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Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Learning transferable visual models from natural language supervi- sion,

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Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Deepgauge: Multi-granularity testing criteria for deep learning systems,

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This paper cites Criticalfuzz: A critical neuron coverage-guided fuzz testing framework for deep neural networks,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Criticalfuzz: A critical neuron coverage-guided fuzz testing framework for deep neural networks,

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Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes A survey on adversarial attacks and defences,

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Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Adversarial Attacks on Neural Network Policies

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This paper cites Evaluating the robustness of deep learning models against adversarial attacks: An analysis with fgsm, pgd and cw,.

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Evaluating the robustness of deep learning models against adversarial attacks: An analysis with fgsm, pgd and cw,

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Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Deephunter: a coverage-guided fuzz testing framework for deep neural networks,

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Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Deeptest: Automated testing of deep-neural-network-driven autonomous cars,

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Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Sinvad: Search-based image space nav- igation for dnn image classifier test input generation,

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Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Improving deep learning interpretability by saliency guided training,

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Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Scgan: Saliency map-guided colorization with generative adversarial network,

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Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes Adversarial example detection based on saliency map features,

Reference 48

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