BlueGlass: A Framework for Composite AI Safety | Paper Citation Record

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This paper cites write newline.

BlueGlass: A Framework for Composite AI Safety write newline

Reference 1

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This paper cites Sanity Checks for Saliency Maps.

BlueGlass: A Framework for Composite AI Safety Sanity Checks for Saliency Maps

Reference 2

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This paper cites Understanding intermediate layers using linear classifier probes.

BlueGlass: A Framework for Composite AI Safety Understanding intermediate layers using linear classifier probes

Reference 3

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This paper cites Physics of Language Models: Part 3.1, Knowledge Storage and Extraction.

BlueGlass: A Framework for Composite AI Safety Physics of Language Models: Part 3.1, Knowledge Storage and Extraction

Reference 4

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This paper cites Apache parquet.

BlueGlass: A Framework for Composite AI Safety Apache parquet

Reference 5

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This paper cites Apache arrow: A cross-language development platform for in-memory data.

BlueGlass: A Framework for Composite AI Safety Apache arrow: A cross-language development platform for in-memory data

Reference 6

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This paper cites Refusal in Language Models Is Mediated by a Single Direction.

BlueGlass: A Framework for Composite AI Safety Refusal in Language Models Is Mediated by a Single Direction

Reference 7

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This paper cites A Survey of Word Embeddings Evaluation Methods.

BlueGlass: A Framework for Composite AI Safety A Survey of Word Embeddings Evaluation Methods

Reference 8

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This paper cites Mechanistic Interpretability for AI Safety -- A Review.

BlueGlass: A Framework for Composite AI Safety Mechanistic Interpretability for AI Safety -- A Review

Reference 9

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BlueGlass: A Framework for Composite AI Safety Unresolved cited work

Reference 10

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BlueGlass: A Framework for Composite AI Safety Unresolved cited work

Reference 11

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This paper cites E., Hume, T., Carter, S., Henighan, T., and Olah, C.

BlueGlass: A Framework for Composite AI Safety E., Hume, T., Carter, S., Henighan, T., and Olah, C

Reference 12

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This paper cites BatchTopK Sparse Autoencoders.

BlueGlass: A Framework for Composite AI Safety BatchTopK Sparse Autoencoders

Reference 13

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This paper cites Learning Multi-Level Features with Matryoshka Sparse Autoencoders.

BlueGlass: A Framework for Composite AI Safety Learning Multi-Level Features with Matryoshka Sparse Autoencoders

Reference 14

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This paper cites M., Favero, A., and Wyart, M.

BlueGlass: A Framework for Composite AI Safety M., Favero, A., and Wyart, M

Reference 15

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This paper cites On Evaluating Adversarial Robustness.

BlueGlass: A Framework for Composite AI Safety On Evaluating Adversarial Robustness

Reference 16

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BlueGlass: A Framework for Composite AI Safety DLST 4: Phase Transitions in Neural Networks

Reference 17

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This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

BlueGlass: A Framework for Composite AI Safety MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 18

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This paper cites Generative Region-Language Pretraining for Open-Ended Object Detection.

BlueGlass: A Framework for Composite AI Safety Generative Region-Language Pretraining for Open-Ended Object Detection

Reference 19

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This paper cites Sparse Autoencoders Find Highly Interpretable Features in Language Models.

BlueGlass: A Framework for Composite AI Safety Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 20

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

BlueGlass: A Framework for Composite AI Safety BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 21

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

BlueGlass: A Framework for Composite AI Safety An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 22

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This paper cites Transcoders Find Interpretable LLM Feature Circuits.

BlueGlass: A Framework for Composite AI Safety Transcoders Find Interpretable LLM Feature Circuits

Reference 23

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This paper cites Garçon , December 2021.

BlueGlass: A Framework for Composite AI Safety Garçon , December 2021

Reference 24

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This paper cites NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals.

BlueGlass: A Framework for Composite AI Safety NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 25

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BlueGlass: A Framework for Composite AI Safety Scaling and evaluating sparse autoencoders

Reference 26

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This paper cites Detecting Strategic Deception Using Linear Probes.

BlueGlass: A Framework for Composite AI Safety Detecting Strategic Deception Using Linear Probes

Reference 27

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This paper cites VALERIE22 -- A photorealistic, richly metadata annotated dataset of urban environments.

BlueGlass: A Framework for Composite AI Safety VALERIE22 -- A photorealistic, richly metadata annotated dataset of urban environments

Reference 28

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This paper cites Safety by Measurement: A Systematic Literature Review of AI Safety Evaluation Methods.

BlueGlass: A Framework for Composite AI Safety Safety by Measurement: A Systematic Literature Review of AI Safety Evaluation Methods

Reference 29

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BlueGlass: A Framework for Composite AI Safety LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 30

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BlueGlass: A Framework for Composite AI Safety How to use and interpret activation patching

Reference 31

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BlueGlass: A Framework for Composite AI Safety FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods

Reference 32

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This paper cites A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks.

BlueGlass: A Framework for Composite AI Safety A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks

Reference 33

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BlueGlass: A Framework for Composite AI Safety Ultralytics YOLO , January 2023

Reference 34

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BlueGlass: A Framework for Composite AI Safety Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Reference 35

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BlueGlass: A Framework for Composite AI Safety The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale

Reference 36

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BlueGlass: A Framework for Composite AI Safety NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 37

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BlueGlass: A Framework for Composite AI Safety Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects

Reference 38

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BlueGlass: A Framework for Composite AI Safety Open World Object Detection: A Survey

Reference 39

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BlueGlass: A Framework for Composite AI Safety Microsoft COCO: Common Objects in Context

Reference 40

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BlueGlass: A Framework for Composite AI Safety Sparse Crosscoders for Cross-Layer Features and Model Diffing

Reference 41

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BlueGlass: A Framework for Composite AI Safety Unresolved cited work

Reference 42

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BlueGlass: A Framework for Composite AI Safety Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 43

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BlueGlass: A Framework for Composite AI Safety Data Attribution: A Data-Centric Approach for Trustworthy AI Development

Reference 44

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BlueGlass: A Framework for Composite AI Safety A Survey on Vision-Language-Action Models for Embodied AI

Reference 45

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BlueGlass: A Framework for Composite AI Safety k-Sparse Autoencoders

Reference 46

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BlueGlass: A Framework for Composite AI Safety Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models

Reference 47

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BlueGlass: A Framework for Composite AI Safety Deep Double Descent: Where Bigger Models and More Data Hurt

Reference 48

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BlueGlass: A Framework for Composite AI Safety Interpretability will not reliably find deceptive ai

Reference 49

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BlueGlass: A Framework for Composite AI Safety and Bloom, J

Reference 50

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This paper cites Understanding Neural Networks via Feature Visualization: A survey.

BlueGlass: A Framework for Composite AI Safety Understanding Neural Networks via Feature Visualization: A survey

Reference 51

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BlueGlass: A Framework for Composite AI Safety In-context Learning and Induction Heads

Reference 52

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BlueGlass: A Framework for Composite AI Safety GPT-4o System Card

Reference 53

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This paper cites Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges.

BlueGlass: A Framework for Composite AI Safety Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges

Reference 54

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This paper cites Introducing Gemini 2.0: our new AI model for the agentic era , December 2024.

BlueGlass: A Framework for Composite AI Safety Introducing Gemini 2.0: our new AI model for the agentic era , December 2024

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:26.078534Z

Source-reported events for the cited work

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This paper cites On Evaluating the Durability of Safeguards for Open-Weight LLMs.

BlueGlass: A Framework for Composite AI Safety On Evaluating the Durability of Safeguards for Open-Weight LLMs

Reference 56

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This paper cites Language Models are Unsupervised Multitask Learners , 2019.

BlueGlass: A Framework for Composite AI Safety Language Models are Unsupervised Multitask Learners , 2019

Reference 57

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Source-reported events for the cited work

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Observation b6a4309e-db90-4475-a23b-568dc5649260 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

BlueGlass: A Framework for Composite AI Safety Learning Transferable Visual Models From Natural Language Supervision

Reference 58

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BlueGlass: A Framework for Composite AI Safety Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T17:46:20.913958Z

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Observation 313eb60f-c70a-4a58-bcee-97b520ee1469 · outbound

This paper cites A Phase Transition in Diffusion Models Reveals the Hierarchical Nature of Data.

BlueGlass: A Framework for Composite AI Safety A Phase Transition in Diffusion Models Reveals the Hierarchical Nature of Data

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T17:46:20.970397Z

Source-reported events for the cited work

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Observation a8aef35c-367d-42d3-b983-eabc606ef55c · outbound

This paper cites b1ade series of models , 2024.

BlueGlass: A Framework for Composite AI Safety b1ade series of models , 2024

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:25.768780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 857dab4a-4f74-4e98-97d2-0855672292b1 · outbound

This paper cites The 'strong' feature hypothesis could be wrong.

BlueGlass: A Framework for Composite AI Safety The 'strong' feature hypothesis could be wrong

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:25.591968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2faf6f59-3585-4f9e-a665-1375f64d4dca · outbound

This paper cites Negative Results for SAEs On Downstream Tasks and Deprioritising SAE Research (GDM Mech Interp Team Progress Update \#2).

BlueGlass: A Framework for Composite AI Safety Negative Results for SAEs On Downstream Tasks and Deprioritising SAE Research (GDM Mech Interp Team Progress Update \#2)

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:25.367268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8a3da632-3e0b-442b-85e2-2ef2c99e7e16 · outbound

This paper cites PaliGemma 2: A Family of Versatile VLMs for Transfer.

BlueGlass: A Framework for Composite AI Safety PaliGemma 2: A Family of Versatile VLMs for Transfer

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T17:46:21.301935Z

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Observation a2f6727a-56a5-41a2-a1e0-0e65ba8efac6 · outbound

This paper cites Attribution Patching Outperforms Automated Circuit Discovery.

BlueGlass: A Framework for Composite AI Safety Attribution Patching Outperforms Automated Circuit Discovery

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T17:46:21.376357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f581f6a-f19e-4337-bba0-09f90abf4149 · outbound

This paper cites Gemini Robotics: Bringing AI into the Physical World.

BlueGlass: A Framework for Composite AI Safety Gemini Robotics: Bringing AI into the Physical World

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T17:46:21.455155Z

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Observation 374a1aba-2c34-48d2-95ef-6ba1a555a2d8 · outbound

This paper cites L., McDougall, C., MacDiarmid, M., Freeman, C.

BlueGlass: A Framework for Composite AI Safety L., McDougall, C., MacDiarmid, M., Freeman, C

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:25.168007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0ed0daa9-1d69-47ee-b766-db511d0f2bec · outbound

This paper cites Deep Learning and the Information Bottleneck Principle.

BlueGlass: A Framework for Composite AI Safety Deep Learning and the Information Bottleneck Principle

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T17:46:21.620113Z

Source-reported events for the cited work

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Observation 7ffc898e-b009-4868-9660-4c6490e37a57 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

BlueGlass: A Framework for Composite AI Safety HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T17:46:21.699195Z

Source-reported events for the cited work

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Observation ffd8580b-fa19-40ae-9f32-7c3ce4f756fe · outbound

This paper cites Detectron2.

BlueGlass: A Framework for Composite AI Safety Detectron2

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:24.955158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c56b6820-0adb-4373-9b3d-0f16f9b40ddc · outbound

This paper cites Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks.

BlueGlass: A Framework for Composite AI Safety Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:24.714013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 86ec7568-ca42-4508-b65a-5b75bd54ac0f · outbound

This paper cites Diffusion models: A comprehensive survey of methods and applications, 2024.

BlueGlass: A Framework for Composite AI Safety Diffusion models: A comprehensive survey of methods and applications, 2024

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T17:46:21.911308Z

Source-reported events for the cited work

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Observation 11e7ef1a-1583-4170-9e1c-6f1df756af55 · outbound

This paper cites BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning.

BlueGlass: A Framework for Composite AI Safety BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T17:46:21.976517Z

Source-reported events for the cited work

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Observation c011ffda-9750-4188-9c2a-c87a58e49476 · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

BlueGlass: A Framework for Composite AI Safety DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T17:46:22.074193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3db49778-a5be-4ef0-a1c8-f7351c95ef90 · outbound

This paper cites Vision-Language Models for Vision Tasks: A Survey.

BlueGlass: A Framework for Composite AI Safety Vision-Language Models for Vision Tasks: A Survey

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T17:46:22.192112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bc78453-d434-4a79-9b95-1fc9f3fee28c · outbound

This paper cites Vision Language Models in Autonomous Driving: A Survey and Outlook.

BlueGlass: A Framework for Composite AI Safety Vision Language Models in Autonomous Driving: A Survey and Outlook

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T17:46:22.263759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6084b07b-a3bc-4de6-91d2-ce5533769d9d · outbound

This paper cites Object Detection in 20 Years: A Survey.

BlueGlass: A Framework for Composite AI Safety Object Detection in 20 Years: A Survey

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T17:46:22.364436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 306e0605-2734-4201-9e22-f5f69268bb97 · outbound

This paper cites Grokking phase transitions in learning local rules with gradient descent.

BlueGlass: A Framework for Composite AI Safety Grokking phase transitions in learning local rules with gradient descent

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T17:46:22.465170Z

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