Learning-Time Encoding Shapes Unlearning in LLMs | Paper Citation Record

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This paper cites Machine unlearning.

Learning-Time Encoding Shapes Unlearning in LLMs Machine unlearning

Reference 1

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Observation 13e930d6-e0c8-4d7c-b5fd-126b634835aa · outbound

This paper cites Rethinking machine unlearning for large language models.Nature Machine Intelligence, pages 1–14, 2025.

Learning-Time Encoding Shapes Unlearning in LLMs Rethinking machine unlearning for large language models.Nature Machine Intelligence, pages 1–14, 2025

Reference 2

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This paper cites https://eur-lex.europa.eu/eli/reg/2016/679/oj, April 2016.

Learning-Time Encoding Shapes Unlearning in LLMs https://eur-lex.europa.eu/eli/reg/2016/679/oj, April 2016

Reference 3

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This paper cites Who's Harry Potter? Approximate Unlearning in LLMs.

Learning-Time Encoding Shapes Unlearning in LLMs Who's Harry Potter? Approximate Unlearning in LLMs

Reference 4

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This paper cites Avoiding Copyright Infringement via Large Language Model Unlearning.

Learning-Time Encoding Shapes Unlearning in LLMs Avoiding Copyright Infringement via Large Language Model Unlearning

Reference 5

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This paper cites On provable copyright protection for generative models.

Learning-Time Encoding Shapes Unlearning in LLMs On provable copyright protection for generative models

Reference 6

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This paper cites Large language model unlearning.Advances in Neural Information Processing Systems, 37:105425–105475, 2024.

Learning-Time Encoding Shapes Unlearning in LLMs Large language model unlearning.Advances in Neural Information Processing Systems, 37:105425–105475, 2024

Reference 7

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This paper cites The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning.

Learning-Time Encoding Shapes Unlearning in LLMs The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning

Reference 8

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Observation 6e4387a5-1773-4485-a018-27ca502b9f2e · outbound

This paper cites Knowledge Unlearning for Mitigating Privacy Risks in Language Models.

Learning-Time Encoding Shapes Unlearning in LLMs Knowledge Unlearning for Mitigating Privacy Risks in Language Models

Reference 9

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This paper cites Depn: Detecting and editing privacy neurons in pretrained language models.

Learning-Time Encoding Shapes Unlearning in LLMs Depn: Detecting and editing privacy neurons in pretrained language models

Reference 10

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This paper cites Identifying and mitigating the security risks of generative ai.Foundations and Trends® in Privacy and Security, 6(1):1–52, 2023.

Learning-Time Encoding Shapes Unlearning in LLMs Identifying and mitigating the security risks of generative ai.Foundations and Trends® in Privacy and Security, 6(1):1–52, 2023

Reference 11

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This paper cites Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges.

Learning-Time Encoding Shapes Unlearning in LLMs Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges

Reference 12

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Observation bb1a095d-5240-4f77-a2b0-89e962040c71 · outbound

This paper cites Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization.

Learning-Time Encoding Shapes Unlearning in LLMs Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization

Reference 13

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Observation 571f1ef0-a773-4309-a818-63b74156ca5c · outbound

This paper cites To forget or not? towards practical knowledge unlearning for large language models.

Learning-Time Encoding Shapes Unlearning in LLMs To forget or not? towards practical knowledge unlearning for large language models

Reference 14

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Observation 34a273e9-5a87-4e8a-ab3f-07691634eb33 · outbound

This paper cites Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport.

Learning-Time Encoding Shapes Unlearning in LLMs Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport

Reference 15

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This paper cites Towards robust knowledge unlearning: An adversarial framework for assessing and improving unlearning robustness in large language models.

Learning-Time Encoding Shapes Unlearning in LLMs Towards robust knowledge unlearning: An adversarial framework for assessing and improving unlearning robustness in large language models

Reference 16

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Observation c7ac5cdf-65b7-493f-8328-c1c5d30e3ac6 · outbound

This paper cites Evaluating deep unlearning in large language models.arXiv preprint arXiv:2410.15153, 2024.

Learning-Time Encoding Shapes Unlearning in LLMs Evaluating deep unlearning in large language models.arXiv preprint arXiv:2410.15153, 2024

Reference 17

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Observation e8a2d8b5-f344-414d-878b-b04fcc6ad7f2 · outbound

This paper cites Can sensitive information be deleted from llms? objectives for defending against extraction attacks.

Learning-Time Encoding Shapes Unlearning in LLMs Can sensitive information be deleted from llms? objectives for defending against extraction attacks

Reference 18

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Observation 4c492968-ea12-4ff7-8728-fcddee1ba66c · outbound

This paper cites Tofu: A task of fictitious unlearning for llms.

Learning-Time Encoding Shapes Unlearning in LLMs Tofu: A task of fictitious unlearning for llms

Reference 19

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Observation c3425d73-98b0-4dca-819c-658d0e4f2418 · outbound

This paper cites MUSE: Machine Unlearning Six-Way Evaluation for Language Models.

Learning-Time Encoding Shapes Unlearning in LLMs MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 20

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This paper cites Machine Unlearning of Pre-trained Large Language Models.

Learning-Time Encoding Shapes Unlearning in LLMs Machine Unlearning of Pre-trained Large Language Models

Reference 21

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This paper cites RWKU: Benchmarking real-world knowledge unlearning for large language models.

Learning-Time Encoding Shapes Unlearning in LLMs RWKU: Benchmarking real-world knowledge unlearning for large language models

Reference 22

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This paper cites Editing Models with Task Arithmetic.

Learning-Time Encoding Shapes Unlearning in LLMs Editing Models with Task Arithmetic

Reference 23

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Observation 55da2e29-7892-4b69-abf0-403688cc36bb · outbound

This paper cites Negative preference optimization: From catastrophic collapse to effective unlearning.

Learning-Time Encoding Shapes Unlearning in LLMs Negative preference optimization: From catastrophic collapse to effective unlearning

Reference 24

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Observation 984cd854-d9a4-480a-896f-01d5614ac6bb · outbound

This paper cites Unlearning bias in language models by partitioning gradients.

Learning-Time Encoding Shapes Unlearning in LLMs Unlearning bias in language models by partitioning gradients

Reference 25

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This paper cites Wagle: Strategic weight attribution for effective and modular unlearning in large language models.Advances in Neural Information Processing Systems, 37:55620–55646, 2025.

Learning-Time Encoding Shapes Unlearning in LLMs Wagle: Strategic weight attribution for effective and modular unlearning in large language models.Advances in Neural Information Processing Systems, 37:55620–55646, 2025

Reference 26

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Observation 6b53ff19-e8bd-4502-a0cf-f1ffc69c5de8 · outbound

This paper cites Physics of language models: Part 3.1, knowledge storage and extraction.

Learning-Time Encoding Shapes Unlearning in LLMs Physics of language models: Part 3.1, knowledge storage and extraction

Reference 27

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This paper cites Physics of language models: Part 3.2, knowledge manipula- tion.

Learning-Time Encoding Shapes Unlearning in LLMs Physics of language models: Part 3.2, knowledge manipula- tion

Reference 28

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Observation c06d0f09-58a1-42bd-aeba-e59e02806583 · outbound

This paper cites Composing parameter-efficient modules with arithmetic operation.Advances in Neural Information Processing Systems, 36:12589–12610, 2023.

Learning-Time Encoding Shapes Unlearning in LLMs Composing parameter-efficient modules with arithmetic operation.Advances in Neural Information Processing Systems, 36:12589–12610, 2023

Reference 29

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Observation 47dad61c-e258-4eab-8ece-1c94054e5822 · outbound

This paper cites GPT-4 Technical Report.

Learning-Time Encoding Shapes Unlearning in LLMs GPT-4 Technical Report

Reference 30

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Observation 0f6ebbd6-6aa6-4d74-b242-9efab46f5dd3 · outbound

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Learning-Time Encoding Shapes Unlearning in LLMs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 31

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This paper cites The Llama 3 Herd of Models.

Learning-Time Encoding Shapes Unlearning in LLMs The Llama 3 Herd of Models

Reference 32

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Learning-Time Encoding Shapes Unlearning in LLMs Gemma 2: Improving Open Language Models at a Practical Size

Reference 33

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

Learning-Time Encoding Shapes Unlearning in LLMs Improving language understanding by generative pre-training

Reference 34

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This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022.

Learning-Time Encoding Shapes Unlearning in LLMs Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022

Reference 35

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This paper cites To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models.

Learning-Time Encoding Shapes Unlearning in LLMs To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models

Reference 36

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This paper cites Atyaephyra at SemEval-2025 Task 4: Low-Rank Negative Preference Optimization.

Learning-Time Encoding Shapes Unlearning in LLMs Atyaephyra at SemEval-2025 Task 4: Low-Rank Negative Preference Optimization

Reference 37

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This paper cites Direct preference optimization: Your language model is secretly a reward model.

Learning-Time Encoding Shapes Unlearning in LLMs Direct preference optimization: Your language model is secretly a reward model

Reference 38

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This paper cites Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective.

Learning-Time Encoding Shapes Unlearning in LLMs Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective

Reference 39

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This paper cites Towards Effective Evaluations and Comparisons for LLM Unlearning Methods.

Learning-Time Encoding Shapes Unlearning in LLMs Towards Effective Evaluations and Comparisons for LLM Unlearning Methods

Reference 40

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Observation 45c992c9-163b-4eac-9ed1-8922d49244d1 · outbound

This paper cites Continual learning and private unlearning.

Learning-Time Encoding Shapes Unlearning in LLMs Continual learning and private unlearning

Reference 41

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This paper cites Locating and editing factual associations in gpt.Advances in neural information processing systems, 35:17359–17372, 2022.

Learning-Time Encoding Shapes Unlearning in LLMs Locating and editing factual associations in gpt.Advances in neural information processing systems, 35:17359–17372, 2022

Reference 42

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This paper cites In-Context Unlearning: Language Models as Few Shot Unlearners.

Learning-Time Encoding Shapes Unlearning in LLMs In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 43

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Learning-Time Encoding Shapes Unlearning in LLMs SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning

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This paper cites Large language model unlearning via embedding-corrupted prompts.Advances in Neural Information Processing Systems, 37:118198– 118266, 2024.

Learning-Time Encoding Shapes Unlearning in LLMs Large language model unlearning via embedding-corrupted prompts.Advances in Neural Information Processing Systems, 37:118198– 118266, 2024

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Observation 74cf3e79-0163-4b6a-9a53-3917c2f50e76 · outbound

This paper cites Reversing the forget-retain objectives: An efficient llm unlearning framework from logit difference.Advances in Neural Information Processing Systems, 37:12581–12611, 2024.

Learning-Time Encoding Shapes Unlearning in LLMs Reversing the forget-retain objectives: An efficient llm unlearning framework from logit difference.Advances in Neural Information Processing Systems, 37:12581–12611, 2024

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Observation f1878208-8cd7-4eee-b19f-900e69b6465c · outbound

This paper cites Large Scale Knowledge Washing.

Learning-Time Encoding Shapes Unlearning in LLMs Large Scale Knowledge Washing

Reference 47

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This paper cites Knowledge Sanitization of Large Language Models.

Learning-Time Encoding Shapes Unlearning in LLMs Knowledge Sanitization of Large Language Models

Reference 48

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This paper cites Guardrail Baselines for Unlearning in LLMs.

Learning-Time Encoding Shapes Unlearning in LLMs Guardrail Baselines for Unlearning in LLMs

Reference 49

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Learning-Time Encoding Shapes Unlearning in LLMs UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets

Reference 50

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This paper cites Deep Contrastive Unlearning for Language Models.

Learning-Time Encoding Shapes Unlearning in LLMs Deep Contrastive Unlearning for Language Models

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Observation d5597210-e216-4ace-b46d-33360b7884ae · outbound

This paper cites Eight Methods to Evaluate Robust Unlearning in LLMs.

Learning-Time Encoding Shapes Unlearning in LLMs Eight Methods to Evaluate Robust Unlearning in LLMs

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This paper cites Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis.

Learning-Time Encoding Shapes Unlearning in LLMs Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis

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Observation 2a7cf0a1-a734-4827-915a-574747cb5f82 · outbound

This paper cites PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models.

Learning-Time Encoding Shapes Unlearning in LLMs PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models

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This paper cites Position: LLM Unlearning Benchmarks are Weak Measures of Progress.

Learning-Time Encoding Shapes Unlearning in LLMs Position: LLM Unlearning Benchmarks are Weak Measures of Progress

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This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022.

Learning-Time Encoding Shapes Unlearning in LLMs Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:50:55.420688Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 342496cd-517c-45a2-83b3-472cef6b098c · outbound

This paper cites Quark: Controllable text generation with reinforced unlearning.

Learning-Time Encoding Shapes Unlearning in LLMs Quark: Controllable text generation with reinforced unlearning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T19:50:54.720272Z

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Observation 85ba07b5-cd93-464b-a2bc-5e6aee2d9b49 · outbound

This paper cites Measuring massive multitask language understanding.

Learning-Time Encoding Shapes Unlearning in LLMs Measuring massive multitask language understanding

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T19:50:54.724634Z

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This paper cites Piqa: Reasoning about phys- ical commonsense in natural language.

Learning-Time Encoding Shapes Unlearning in LLMs Piqa: Reasoning about phys- ical commonsense in natural language

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T19:50:54.729206Z

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Observation e822dedf-7a82-4204-bf52-55f085cb942e · outbound

This paper cites RACE: Large-scale ReAding comprehension dataset from examinations.

Learning-Time Encoding Shapes Unlearning in LLMs RACE: Large-scale ReAding comprehension dataset from examinations

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:50:55.380102Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d209dbfe-fcca-4db9-be67-f2492b2e0940 · outbound

This paper cites an unresolved cited work.

Learning-Time Encoding Shapes Unlearning in LLMs Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:50:55.366293Z

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Observation 53ce09c6-bbdf-4d43-a563-38d67abb126e · outbound

This paper cites an unresolved cited work.

Learning-Time Encoding Shapes Unlearning in LLMs Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:50:55.351975Z

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Observation 3f2fa6f1-0f41-47d5-a882-23c6148f4478 · outbound

This paper cites Our code for reproducing the results in the tables is anonymously released at https://anonymous.

Learning-Time Encoding Shapes Unlearning in LLMs Our code for reproducing the results in the tables is anonymously released at https://anonymous

Reference 63

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T19:50:55.337858Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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