Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform | Paper Citation Record

Observation 4b4e04cf-2e4e-4d68-99f9-b8232bb01d31 · outbound

This paper cites Large language models for code completion: A systematic literature review,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Large language models for code completion: A systematic literature review,

Reference 1

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Observation 86356ae5-7ed0-4625-a719-2f8b87396494 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Retrieval-augmented generation for knowledge-intensive nlp tasks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:50.036660Z

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Observation c758e2bf-1024-4c4b-b1c0-c2eb15248563 · outbound

This paper cites Privacy Regularization: Joint Privacy-Utility Optimization in Language Models.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Privacy Regularization: Joint Privacy-Utility Optimization in Language Models

Reference 3

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Observation 8fb90a20-01eb-4e77-a6ee-d91b95e720cd · outbound

This paper cites Privacy protection of textual attributes through a semantic-based masking method,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Privacy protection of textual attributes through a semantic-based masking method,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:50.021836Z

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Observation 9ae364a4-73e6-4348-a0b1-04c522a4c005 · outbound

This paper cites Recovering from privacy-preserving masking with large language models,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Recovering from privacy-preserving masking with large language models,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:50.006979Z

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Observation 5c4a721b-bdde-45d2-8ec4-d60b41a49db9 · outbound

This paper cites How to keep text private? a systematic review of deep learning methods for privacy-preserving natural language processing,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform How to keep text private? a systematic review of deep learning methods for privacy-preserving natural language processing,

Reference 7

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T04:55:49.992075Z

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Observation deacc762-b81f-473b-99d0-1cd3458e2efa · outbound

This paper cites Text Embeddings Reveal (Almost) As Much As Text.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Text Embeddings Reveal (Almost) As Much As Text

Reference 8

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This paper cites Attention is all you need,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Attention is all you need,

Reference 9

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Observation 714f046e-0e95-4b80-9485-4b1348736adf · outbound

This paper cites Improving language understanding by generative pre-training,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Improving language understanding by generative pre-training,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:49.966597Z

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Observation b300b63e-0265-4279-b379-4d37d247dd60 · outbound

This paper cites Language models are unsupervised multitask learners,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Language models are unsupervised multitask learners,

Reference 11

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Observation e75f26e6-bf09-4faa-b73c-aa6507aae48c · outbound

This paper cites Pri- vacy agents: Utilizing large language models to safeguard contextual integrity in elderly care,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Pri- vacy agents: Utilizing large language models to safeguard contextual integrity in elderly care,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:49.927076Z

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Observation 65dafaf9-f59b-46c9-aeb6-9b318cb2632d · outbound

This paper cites On protecting the data privacy of large language models (llms) and llm agents: A literature review,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform On protecting the data privacy of large language models (llms) and llm agents: A literature review,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:49.912334Z

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Observation e6020c50-88f0-41ce-b2c8-144e98b37830 · outbound

This paper cites Reducing privacy risks in online self-disclosures with language models,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Reducing privacy risks in online self-disclosures with language models,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:49.897786Z

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Observation e63a4f89-e3d2-41f4-bb7b-bcd83dd71607 · outbound

This paper cites BottleSum: Unsupervised and self-supervised sentence summarization using the information bottleneck principle,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform BottleSum: Unsupervised and self-supervised sentence summarization using the information bottleneck principle,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:49.882520Z

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Observation cea087ee-a2ff-48da-b2fc-cb8ad2b4f002 · outbound

This paper cites Split-and-denoise: protect large language model inference with local differential privacy,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Split-and-denoise: protect large language model inference with local differential privacy,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:49.867685Z

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Observation 0c4f3c1d-3a61-4ada-93f5-a365338455b3 · outbound

This paper cites SCIPER: Secure Collaborative Inference via Privacy-Enhancing Regularization ,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform SCIPER: Secure Collaborative Inference via Privacy-Enhancing Regularization ,

Reference 17

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Observation b40790e8-c410-44f8-a2b5-d0b93c88aa24 · outbound

This paper cites A Split-and-Privatize Framework for Large Language Model Fine-Tuning.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform A Split-and-Privatize Framework for Large Language Model Fine-Tuning

Reference 18

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Observation a50ed4a6-eb92-4bc2-bfdf-469e87415ca1 · outbound

This paper cites Split learning for health: Distributed deep learning without sharing raw patient data.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Split learning for health: Distributed deep learning without sharing raw patient data

Reference 19

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Observation 326b9e3c-0091-41bb-aced-24eb05935ef4 · outbound

This paper cites Split Learning in Computer Vision for Semantic Segmentation Delay Minimization.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Split Learning in Computer Vision for Semantic Segmentation Delay Minimization

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:55:49.399708Z

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Observation 003fd39b-ca97-4d35-b802-bb4d07c22ce0 · outbound

This paper cites Privacy-preserving split learning for large-scaled vision pre-training,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Privacy-preserving split learning for large-scaled vision pre-training,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:48.779033Z

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Observation 07228da8-5f6b-4750-9288-5890049ad627 · outbound

This paper cites Not all features are equal: Discovering essential features for preserving prediction privacy,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Not all features are equal: Discovering essential features for preserving prediction privacy,

Reference 22

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Observation 7cf0880d-56a6-4baa-9ae6-e685120f7992 · outbound

This paper cites NoPeek: Information leakage reduction to share activations in distributed deep learning ,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform NoPeek: Information leakage reduction to share activations in distributed deep learning ,

Reference 23

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Observation 28ba99e1-0ce8-4cd8-aaad-db3e8a83729b · outbound

This paper cites Reimagining mutual information for enhanced defense against data leakage in collaborative inference,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Reimagining mutual information for enhanced defense against data leakage in collaborative inference,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:49.842436Z

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Observation 9a626438-b103-4e2e-8440-fe231846db3f · outbound

This paper cites Split-and-Denoise: Protect large language model inference with local differential privacy.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Split-and-Denoise: Protect large language model inference with local differential privacy

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:48.796083Z

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Observation 92141d53-9af1-4832-8ef9-c3e16b4d65eb · outbound

This paper cites From the information bottleneck to the privacy funnel,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform From the information bottleneck to the privacy funnel,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:49.828288Z

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Observation c8f6bd5e-813a-4977-a123-b640cbbe8474 · outbound

This paper cites Formal privacy proof of data encoding: The possibility and impossibility of learnable encryption,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Formal privacy proof of data encoding: The possibility and impossibility of learnable encryption,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:49.814632Z

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Observation 50ce8308-0212-42c3-894a-54807c2f6062 · outbound

This paper cites PAC-private algorithms,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform PAC-private algorithms,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:49.800594Z

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Observation 39f62ecb-5b51-4169-bc5e-ad2552d555d0 · outbound

This paper cites On entropy approximation for gaussian mixture random vectors,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform On entropy approximation for gaussian mixture random vectors,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:49.772982Z

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Observation ce17f768-da63-47cf-8d9e-a12ff10ef7a7 · outbound

This paper cites Gaussian mixtures: entropy and geometric inequalities,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Gaussian mixtures: entropy and geometric inequalities,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:49.759149Z

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Observation a2595dc9-2f97-41e8-8bb7-bdd1a040a276 · outbound

This paper cites Estimating mixture entropy with pairwise distances,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Estimating mixture entropy with pairwise distances,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:49.745522Z

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Observation c3da6599-2fc0-46a9-8cf5-6f605e6bfab2 · outbound

This paper cites Gradient-based manipulation of nonparametric en- tropy estimates,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Gradient-based manipulation of nonparametric en- tropy estimates,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:49.730859Z

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Observation 175f2d12-8fcf-4288-b6c4-5ce500246350 · outbound

This paper cites Fast kernel entropy estimation and optimization,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Fast kernel entropy estimation and optimization,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:49.716569Z

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Observation b4a68590-7525-4dc7-a8af-9026cea7e020 · outbound

This paper cites Empirical entropy manipulation for real-world problems,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Empirical entropy manipulation for real-world problems,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:49.701358Z

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Observation f2bb059f-f576-41b7-a853-085d81edc9ff · outbound

This paper cites No free lunch theorem for privacy-preserving llm inference,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform No free lunch theorem for privacy-preserving llm inference,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:49.686288Z

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Observation 45c0d267-c040-4d37-a367-a2eb7b72e10b · outbound

This paper cites Privacy-preserving prompt tuning for large language model services,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Privacy-preserving prompt tuning for large language model services,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:48.855585Z

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Observation 287a0dc6-137a-423d-8125-81f9d96e4f16 · outbound

This paper cites BeamClean: Language Aware Embedding Reconstruction.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform BeamClean: Language Aware Embedding Reconstruction

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:55:49.095358Z

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Observation 313100df-1bdd-47f7-bf8e-478fe6c06369 · outbound

This paper cites The Llama 3 Herd of Models.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform The Llama 3 Herd of Models

Reference 39

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Observation 33d4c4d4-73b9-4300-b394-c39b3e2a50c2 · outbound

This paper cites Openorca: An open dataset of gpt augmented flan reasoning traces,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Openorca: An open dataset of gpt augmented flan reasoning traces,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:49.670790Z

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Observation af5a4d9a-9647-4859-8623-610904c1e93a · outbound

This paper cites Orca: Progressive Learning from Complex Explanation Traces of GPT-4.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Orca: Progressive Learning from Complex Explanation Traces of GPT-4

Reference 41

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This paper cites Stanford alpaca: An instruction- following llama model,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Stanford alpaca: An instruction- following llama model,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:49.655724Z

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Observation 5e641d88-9986-4ce8-974a-5e6c35d1ea24 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 43

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Observation 20a55e15-e846-48da-9992-469784479926 · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Can a suit of armor conduct electricity? a new dataset for open book question answering,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:49.641041Z

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Observation c210af6c-7bf5-4bac-9621-50ba8e8d0991 · outbound

This paper cites Phrase-indexed question answering: A new challenge for scalable document comprehension,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Phrase-indexed question answering: A new challenge for scalable document comprehension,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:49.626361Z

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Observation 3107b901-89e3-427d-b7d7-58a6ad58323c · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Measuring Massive Multitask Language Understanding

Reference 47

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Observation c25e7da2-30e6-4c45-87b2-1074ce00a4d5 · outbound

This paper cites Hel- laswag: Can a machine really finish your sentence?.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Hel- laswag: Can a machine really finish your sentence?

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:49.610495Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8f7bf48e-ef40-4163-b8e7-6d42d770d67e · outbound

This paper cites PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles

Reference 49

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Observation 318aae54-2b3b-449b-a406-19937f6b0ff4 · outbound

This paper cites Calibrating noise to sensitivity in private data analysis,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Calibrating noise to sensitivity in private data analysis,

Reference 50

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Observation 719ef4e4-e083-4da0-87a2-584ac2a5afd8 · outbound

This paper cites The algorithmic foundations of differential privacy,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform The algorithmic foundations of differential privacy,

Reference 51

Resolution: malformed identifier; no resolver link, observed 2026-08-07T04:55:48.920111Z

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Observation 650b81db-b1f5-471c-84e7-3db71dffe943 · outbound

This paper cites Qwen3 Technical Report.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Qwen3 Technical Report

Reference 52

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Observation e2d3cd01-61f0-40da-91ea-a8770c96bb9d · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 53

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Observation 8d26c741-2292-4592-bf92-5d8d38d667b3 · outbound

This paper cites Torchtitan: One-stop pytorch native solution for production ready LLM pretraining,.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Torchtitan: One-stop pytorch native solution for production ready LLM pretraining,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:49.573223Z

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Observation 6d97725e-b287-4bdd-9d4f-a0a5ba3df628 · outbound

This paper cites Deep Variational Information Bottleneck.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Deep Variational Information Bottleneck

Reference 2016

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Observation c79b98ff-8248-4c8f-b67e-1e37a4a03902 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 160025533.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Available: https://api.semanticscholar.org/CorpusID: 160025533

Reference 2019

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Observation 32374031-4cfd-4aa6-b3e5-c059cbca180e · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:48.899200Z

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Observation 55b76cf0-89ac-4a4e-961a-bce7cc3a371d · outbound

This paper cites Available: https://eprint.iacr.org/2024/718.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Available: https://eprint.iacr.org/2024/718

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:49.786834Z

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