DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization | Paper Citation Record

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This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 1

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This paper cites Ddpo: Denoising diffusion policy optimization.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Ddpo: Denoising diffusion policy optimization

Reference 2

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This paper cites Alignment faking in large language models.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Alignment faking in large language models

Reference 4

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This paper cites Facing reality? law enforcement and the challenge of deepfakes, 2024.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Facing reality? law enforcement and the challenge of deepfakes, 2024

Reference 5

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This paper cites More speech and fewer mistakes, 2025.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization More speech and fewer mistakes, 2025

Reference 6

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This paper cites Prompt-noise optimization for safe text-to-image generation, 2024.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Prompt-noise optimization for safe text-to-image generation, 2024

Reference 7

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This paper cites Posi: Prompt optimization with safety intent via reinforcement learning, 2024.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Posi: Prompt optimization with safety intent via reinforcement learning, 2024

Reference 8

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This paper cites Embedding sanitizer: Prompt-level harm suppression for diffusion models, 2024.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Embedding sanitizer: Prompt-level harm suppression for diffusion models, 2024

Reference 9

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This paper cites Beyond accuracy: Behavioral testing of nlp models with checklist.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Beyond accuracy: Behavioral testing of nlp models with checklist

Reference 10

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This paper cites Training language models to follow instructions with human feedback.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Training language models to follow instructions with human feedback

Reference 11

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This paper cites Diffusion-dpo: Direct preference optimization for text-to-image models.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Diffusion-dpo: Direct preference optimization for text-to-image models

Reference 12

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This paper cites Safetydpo: Modular alignment of diffusion models with ai feedback, 2024.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Safetydpo: Modular alignment of diffusion models with ai feedback, 2024

Reference 13

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This paper cites Safety-constrained direct preference optimization for diffusion models, 2025.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Safety-constrained direct preference optimization for diffusion models, 2025

Reference 14

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This paper cites Rankdpo: Scaling preference optimization with synthetic image rankings, 2024.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Rankdpo: Scaling preference optimization with synthetic image rankings, 2024

Reference 15

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Observation 556f13e8-9469-43f3-945e-1d32b22b24da · outbound

This paper cites ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation

Reference 16

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This paper cites Visionreward: General-purpose reward modeling for visual content, 2024.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Visionreward: General-purpose reward modeling for visual content, 2024

Reference 17

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This paper cites Adding integrable defects to the Boussinesq equation.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Adding integrable defects to the Boussinesq equation

Reference 18

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Observation 1b73c23b-9390-4986-ac71-00c5ed340108 · outbound

This paper cites Concept steerers: Sparse monosemantic intervention for safety in diffusion models,.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Concept steerers: Sparse monosemantic intervention for safety in diffusion models,

Reference 21

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This paper cites A mathematical framework for transformer circuits, 2022.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization A mathematical framework for transformer circuits, 2022

Reference 22

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Observation d49b65ac-ff2d-4b5a-8969-22472d9fe45f · outbound

This paper cites From languages to geographies: Towards evaluating cultural bias in hate speech datasets.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization From languages to geographies: Towards evaluating cultural bias in hate speech datasets

Reference 23

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This paper cites Measuring a hate speech spectrum with faceted Rasch item response theory and perspective-aware, explainable-by-design deep learning.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Measuring a hate speech spectrum with faceted Rasch item response theory and perspective-aware, explainable-by-design deep learning

Reference 24

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This paper cites 2024.https://www.midjourney.com/home.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization 2024.https://www.midjourney.com/home

Reference 25

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DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Unresolved cited work

Reference 26

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Observation 06c0bb4a-7459-4eee-a489-3fe2c3dc63a6 · outbound

This paper cites Excluded Volume Induces Buckling in Optically Driven Colloidal Rings.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Excluded Volume Induces Buckling in Optically Driven Colloidal Rings

Reference 27

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Observation f031451a-7de2-424a-a153-bba1ceea53f4 · outbound

This paper cites LIMA: Less Is More for Alignment.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization LIMA: Less Is More for Alignment

Reference 28

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This paper cites GPT-4 Technical Report.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization GPT-4 Technical Report

Reference 29

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This paper cites Visual instruction tuning.Advances in neural information processing systems, 36, 2024.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Visual instruction tuning.Advances in neural information processing systems, 36, 2024

Reference 30

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This paper cites Improved baselines with visual instruction tuning.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Improved baselines with visual instruction tuning

Reference 31

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This paper cites Llava-next: Improved reasoning, ocr, and world knowledge, January 2024.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Llava-next: Improved reasoning, ocr, and world knowledge, January 2024

Reference 32

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This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 33

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This paper cites A General Theoretical Paradigm to Understand Learning from Human Preferences.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization A General Theoretical Paradigm to Understand Learning from Human Preferences

Reference 35

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This paper cites Multi-Dimension-Embedding-Aware Modality Fusion Transformer for Psychiatric Disorder Clasification.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Multi-Dimension-Embedding-Aware Modality Fusion Transformer for Psychiatric Disorder Clasification

Reference 36

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This paper cites MIT Press, 2002.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization MIT Press, 2002

Reference 37

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This paper cites Support-vector networks.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Support-vector networks

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:19.475067Z

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This paper cites Preference learning with gaussian processes.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Preference learning with gaussian processes

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:19.324850Z

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This paper cites Optimizing search engines using clickthrough data.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Optimizing search engines using clickthrough data

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:19.161741Z

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Observation cc8f5437-4c38-4ed5-9df0-6c60f35850be · outbound

This paper cites Manifold regularization: A geometric framework for learning from labeled and unlabeled examples.Journal of Machine Learning Research, 7(Nov):2399–2434, 2006.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Manifold regularization: A geometric framework for learning from labeled and unlabeled examples.Journal of Machine Learning Research, 7(Nov):2399–2434, 2006

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:19.060903Z

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Observation f285d4b8-cafd-4de6-bc8f-511488bf4313 · outbound

This paper cites Representation learning: A review and new perspectives.IEEE transactions on pattern analysis and machine intelligence, 35(8):1798– 1828, 2013.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Representation learning: A review and new perspectives.IEEE transactions on pattern analysis and machine intelligence, 35(8):1798– 1828, 2013

Reference 42

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This paper cites Learning with kernels: support vector machines, regularization, optimization, and beyond.MIT Press, 2001.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Learning with kernels: support vector machines, regularization, optimization, and beyond.MIT Press, 2001

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:18.834750Z

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Observation 89836661-991d-458a-9927-6487f3f82f8c · outbound

This paper cites Nonlinear component analysis as a kernel eigenvalue problem.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Nonlinear component analysis as a kernel eigenvalue problem

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:18.708762Z

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Observation 01a8184e-7d7c-4071-b15c-1f548469e881 · outbound

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DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:16:18.545766Z

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Observation dd5b9182-61ae-446f-8289-29dddc6d7417 · outbound

This paper cites Support vector machines with polynomial kernels.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Support vector machines with polynomial kernels

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:18.344773Z

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Observation 70a8fd5f-4949-4934-aa03-c4a9f940600a · outbound

This paper cites Regularization theory and neural network architectures.Neural Networks, 6(5):613–627, 1995.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Regularization theory and neural network architectures.Neural Networks, 6(5):613–627, 1995

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:18.034764Z

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Observation f5a23510-955d-4513-9d1f-79ea0397a7c2 · outbound

This paper cites Smola, and Klaus-Robert Müller.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Smola, and Klaus-Robert Müller

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:17.606621Z

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Observation b2cf07f3-6368-40a6-97bc-934dcfa720ff · outbound

This paper cites Wavelet support vector machine.Expert Systems with Applications, 36(7):10170–10173, 2009.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Wavelet support vector machine.Expert Systems with Applications, 36(7):10170–10173, 2009

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:17.234141Z

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Observation 3d4c19c0-94db-49aa-b9d1-ada4d905efdd · outbound

This paper cites Wavelet-based kernel function and its application in support vector regression.Information Sciences, 179(23):4070–4081, 2009.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Wavelet-based kernel function and its application in support vector regression.Information Sciences, 179(23):4070–4081, 2009

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:17.034976Z

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Observation 728631a8-f52f-413e-8356-936e0e0a801a · outbound

This paper cites Gonzalez, Richard E.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Gonzalez, Richard E

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:16.865022Z

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Observation adf5dab7-0065-4982-8d27-657538c34cb9 · outbound

This paper cites On information and sufficiency.The Annals of Mathematical Statistics, 22(1):79–86, 1951.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization On information and sufficiency.The Annals of Mathematical Statistics, 22(1):79–86, 1951

Reference 52

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Observation f3b5ae70-b1ef-4b1a-8092-43d4b39d6e60 · outbound

This paper cites On measures of entropy and information.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization On measures of entropy and information

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:16.554731Z

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Observation be92669b-b028-4cbd-89f0-94beef1d5d1e · outbound

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DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Unresolved cited work

Reference 54

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Observation ad99847b-99b3-4cd5-b041-5eeafda4ecc2 · outbound

This paper cites Springer, 2009.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Springer, 2009

Reference 55

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Observation 330f3b1a-7aa0-4bbc-86bd-b0142a6b1729 · outbound

This paper cites R ’enyi differential privacy of the subsampled gaussian mechanism.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization R ’enyi differential privacy of the subsampled gaussian mechanism

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:16.194813Z

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Observation 8a61286a-dd4c-4753-b20a-f3f0bc097903 · outbound

This paper cites Learning with a wasserstein loss.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Learning with a wasserstein loss

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:16.045056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 03e064e4-21ef-4ebf-86c2-a77a68b31b8e · outbound

This paper cites Improved training of wasserstein gans.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Improved training of wasserstein gans

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:15.883236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 89ac8b75-5f61-4b46-990c-b7085c9b7e2b · outbound

This paper cites AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction

Reference 59

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T00:16:09.554533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e1e30e97-f0bc-4591-9461-0b8728e9d9b4 · outbound

This paper cites Universal and transferable adversarial attacks on aligned language models.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Universal and transferable adversarial attacks on aligned language models

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:15.694816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8cbff892-f9d4-4c80-9235-8041d6ade2a1 · outbound

This paper cites Mechanistic interpretability of safety fine-tuning in llms.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Mechanistic interpretability of safety fine-tuning in llms

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:15.505012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5c865d82-3175-4c1a-8fa1-610134d6504a · outbound

This paper cites Approximating a RUM from Distributions on k-Slates.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Approximating a RUM from Distributions on k-Slates

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:06.919056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00f434e1-adf4-4883-87e6-040c0a8e9c84 · outbound

This paper cites Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:06.930575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70bcd3ea-7c32-4282-aa90-f59e35f29119 · outbound

This paper cites On lines and planes of closest fit to systems of points in space.Philosophical Magazine, 2(11):559–572, 1901.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization On lines and planes of closest fit to systems of points in space.Philosophical Magazine, 2(11):559–572, 1901

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:14.994828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ee4de33b-4008-4856-a504-c1e3dad77cff · outbound

This paper cites Visualizing data using t-sne.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Visualizing data using t-sne

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:14.854872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c3301049-49a0-4ce3-90a4-238d8a1a4afc · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization High- resolution image synthesis with latent diffusion models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:06.982111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a00a9071-b398-4564-b752-e6d47e609601 · outbound

This paper cites Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:06.990009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b742401-b388-4181-b783-90285411d138 · outbound

This paper cites Rethinking fid: Towards a better evaluation metric for image generation.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Rethinking fid: Towards a better evaluation metric for image generation

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:07.007974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2820989-9ee4-4b79-aef5-f46c678739b8 · outbound

This paper cites CLIPScore: a reference-free evaluation metric for image captioning.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization CLIPScore: a reference-free evaluation metric for image captioning

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:14.514749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b2c08eb8-2469-435a-879d-0732ca89b427 · outbound

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

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Learning transferable visual models from natural language supervision

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:14.385717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4cac4dae-8c91-4b18-a8db-c1a87b9f7b55 · outbound

This paper cites Safree: Steering away from unsafe concepts in text-to-image and text-to- video generation.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Safree: Steering away from unsafe concepts in text-to-image and text-to- video generation

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:07.084853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a0e85e4-1b37-42f7-8308-4c916bebb5ac · outbound

This paper cites Decoupled Weight Decay Regularization.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Decoupled Weight Decay Regularization

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:07.103499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f11e24ff-c5f2-44ee-aafd-73f6fed1a549 · outbound

This paper cites Adafactor: Adaptive learning rates with sublinear memory cost.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Adafactor: Adaptive learning rates with sublinear memory cost

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:07.130106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bae9df82-6ef6-49e8-bbfa-7cca8e8852a9 · outbound

This paper cites Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data.Nature Communica- tions, 12(1):4122, 2021.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data.Nature Communica- tions, 12(1):4122, 2021

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:14.094749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8459398e-ac76-409b-9e93-6d107882393e · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:07.153424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18642a8c-4370-4e07-8663-f58388e30bfe · outbound

This paper cites Constraints on Dark Matter from Dynamical Heating of Stars in Ultrafaint Dwarfs. Part 1: MACHOs and Primordial Black Holes.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Constraints on Dark Matter from Dynamical Heating of Stars in Ultrafaint Dwarfs. Part 1: MACHOs and Primordial Black Holes

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:07.184753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8f584c0-6399-4425-88f2-657072a579d9 · outbound

This paper cites Moments of the Poisson distribution of order $k$.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Moments of the Poisson distribution of order $k$

Reference 79

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T00:16:08.644750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ee00a9bd-0931-415f-afd3-e79be6e3ea88 · outbound

This paper cites Latentguard: Contrastive safety filtering for text-to-image models, 2024.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Latentguard: Contrastive safety filtering for text-to-image models, 2024

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:07.230432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea1e9c1e-61a7-4132-81ce-7c1741255c74 · outbound

This paper cites Steerdiff: Safety steering in latent space for diffusion models, 2024.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Steerdiff: Safety steering in latent space for diffusion models, 2024

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:07.255005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b58cfe26-ed68-4cf8-af75-47d02f6a2cd7 · outbound

This paper cites A mathemati- cal framework for transformer circuits.Transformer Circuits Thread, 2022.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization A mathemati- cal framework for transformer circuits.Transformer Circuits Thread, 2022

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:13.934834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 97e7a8ce-6e84-4c27-8c77-a64b99cd6fab · outbound

This paper cites Beyond accuracy: Behavioral testing of nlp models with checklist.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Beyond accuracy: Behavioral testing of nlp models with checklist

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:13.784753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d45aa39e-9d6d-4440-ba16-1026edb3deb6 · outbound

This paper cites Similarity of neural network representations revisited.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Similarity of neural network representations revisited

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:13.677698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aeeb43fa-a8c1-494b-8125-8de533b94f17 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:07.404757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b30c1539-97d2-4ed8-b066-a0f18e00f770 · outbound

This paper cites A cluster separation measure.IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-1(2):224–227, 1979.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization A cluster separation measure.IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-1(2):224–227, 1979

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:15.354812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d9d76a0d-a897-4cec-8473-9871441c4e96 · outbound

This paper cites Well-separated clusters and optimal fuzzy partitions.Journal of Cybernetics, 4(1):95–104, 1974.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Well-separated clusters and optimal fuzzy partitions.Journal of Cybernetics, 4(1):95–104, 1974

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:15.184742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 60d133a2-6e7d-4ff3-aacf-f31db547a940 · outbound

This paper cites Generalized diversity- based learning for multiple kernel clustering.Advances in Neural Information Processing Systems, 29, 2016.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Generalized diversity- based learning for multiple kernel clustering.Advances in Neural Information Processing Systems, 29, 2016

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:13.524880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4ab941a6-3a3b-4303-a05e-03d6a1d3432b · outbound

This paper cites Unsupervised metric learning for kernel embedded clustering.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Unsupervised metric learning for kernel embedded clustering

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:13.384754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0ecd6bc1-d530-4484-a6de-f14b585aabf2 · outbound

This paper cites Multiple kernel learning algorithms.Journal of Machine Learning Research, 12:2211–2268, 2011.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Multiple kernel learning algorithms.Journal of Machine Learning Research, 12:2211–2268, 2011

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:13.251810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d5010395-ecbb-4848-9483-e9adc885c3d7 · outbound

This paper cites Dropout: A simple way to prevent neural networks from overfitting.Journal of Machine Learning Research, 15(1):1929–1958, 2014.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Dropout: A simple way to prevent neural networks from overfitting.Journal of Machine Learning Research, 15(1):1929–1958, 2014

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:07.735682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d33afccf-17d3-4477-94df-2ede8890f8ef · outbound

This paper cites Mixed precision training.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Mixed precision training

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:13.100017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3c3c3413-356c-42e5-acb5-73544e9e58b6 · outbound

This paper cites Attention is all you need.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Attention is all you need

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:07.814842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29a9e446-79a2-404a-91fe-53b3de9a88a1 · outbound

This paper cites Using the nyström method to speed up kernel machines.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Using the nyström method to speed up kernel machines

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:12.914869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 70e55c6f-ea78-4aa5-8ed1-4a032f645986 · outbound

This paper cites Random features for large-scale kernel machines.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Random features for large-scale kernel machines

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:07.884748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5811add9-deac-4aec-92e6-bd270b8ca15a · outbound

This paper cites Dpo-kernels and the detonate benchmark: Geometry-aware preference optimiza- tion for safer text-to-image generation, 2025.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Dpo-kernels and the detonate benchmark: Geometry-aware preference optimiza- tion for safer text-to-image generation, 2025

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:12.731497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8ee86667-1c79-42b0-a7b7-ff7fc78fa09f · outbound

This paper cites Kosmos-2: Grounding multimodal large language models to the world.ArXiv, abs/2306, 2023.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Kosmos-2: Grounding multimodal large language models to the world.ArXiv, abs/2306, 2023

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:12.714819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dc22502f-72ea-449d-96af-f611d21e0912 · outbound

This paper cites jina-clip-v2: Multilingual multimodal embeddings for text and images, 2024.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization jina-clip-v2: Multilingual multimodal embeddings for text and images, 2024

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:12.619087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 20205b2e-4e13-45d8-a0c0-055ec0873493 · outbound

This paper cites an unresolved cited work.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Unresolved cited work

Reference 100

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:16:12.523304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6f29bf49-2465-487f-bfde-2c403838058e · outbound

This paper cites an unresolved cited work.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Unresolved cited work

Reference 101

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:16:12.425702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0464b2d8-04a5-443c-b7a3-130af2d61381 · outbound

This paper cites chosen” (safe) and “rejected.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization chosen” (safe) and “rejected

Reference 102

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:12.395121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b572380f-1fa9-437a-ae17-de245593252e · outbound

This paper cites The reference model typically represents the model’s state before preference alignment or a snapshot of a trusted, pre-aligned model.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization The reference model typically represents the model’s state before preference alignment or a snapshot of a trusted, pre-aligned model

Reference 103

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:12.297585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 09b302a1-2c4d-45f6-9b83-f1d3bcca37f9 · outbound

This paper cites an unresolved cited work.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Unresolved cited work

Reference 104

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:16:12.186299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 436c4d2a-deb7-45b8-b0f5-bc92b82556b5 · outbound

This paper cites Subsequently, error vectors are computed for both models and for both preferred and rejected samples.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Subsequently, error vectors are computed for both models and for both preferred and rejected samples

Reference 105

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:12.129980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 67e5805a-2d8b-43e6-bc22-3afeb664ab3f · outbound

This paper cites ) (𝒙) Diffusion ModelGradually Denoising ………𝑋#𝑋#.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization ) (𝒙) Diffusion ModelGradually Denoising ………𝑋#𝑋#

Reference 106

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:11.992066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6834e534-98d9-48b7-9f8d-c333315f122a · outbound

This paper cites an unresolved cited work.

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization Unresolved cited work

Reference 107

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:16:11.874751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers