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Paper Citation Record · LEDGER

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem

As of 8 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 0 inbound Pith citation observations for arXiv:2607.09236.

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

pith.paper-citation-record.v1
2607.09236 v1

Coverage vector

measured 80 of 80 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T04:30:23.082717Z

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

80 of 80 outbound references displayed

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  • verified fuzzy0
  • unresolved79
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6de22fa8-69a8-4ba7-8e39-36844e6c49b2 · outbound

This paper cites Introducing Claude Sonnet 4.6.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Introducing Claude Sonnet 4.6

Reference 1

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:2f7071598f5e3a64f5aaa630f71ca99210a98bf2a041fd8e31312c1f39c9b46d

Observation af9a6449-aaca-42dc-b908-777002f3f9fc · outbound

This paper cites Which retain set matters for llm unlearning? a case study on entity unlearning.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Which retain set matters for llm unlearning? a case study on entity unlearning

Reference 2

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:01e03a31bed3f958ed9d4d1294b8e4d7f23de02611631e1453a0072e16be935a

Observation 19b7ad08-6c09-42cf-bb54-7a9823e5a270 · outbound

This paper cites Evaluating the ripple effects of knowledge editing in language models.Transactions of the Association for Computational Linguistics, 12: 283–298, 2024.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Evaluating the ripple effects of knowledge editing in language models.Transactions of the Association for Computational Linguistics, 12: 283–298, 2024

Reference 3

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Observation 9b7d4e7f-52b1-4820-90fd-855200e4808b · outbound

This paper cites Multilingual jailbreak challenges in large language models.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Multilingual jailbreak challenges in large language models

Reference 4

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:a8d68395a5a68f5ac5cc4972714300a37cd32373f9717d6463239c9675943637

Observation b9fb7d61-0cde-40cb-a6fd-a862d400510f · outbound

This paper cites Undial: Self- distillation with adjusted logits for robust unlearning in large language models.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Undial: Self- distillation with adjusted logits for robust unlearning in large language models

Reference 5

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:43629717d0fffcac123588878d5d2099a6913061ebfb8b1fabb6a959e59106c7

Observation 8c1535d6-c0ec-43ee-90a8-2fab73014fca · outbound

This paper cites OpenUnlearning: Accelerating LLM unlearning via unified benchmarking of methods and metrics.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem OpenUnlearning: Accelerating LLM unlearning via unified benchmarking of methods and metrics

Reference 6

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:6d9a449f0cca35fd382691f650227141a2c96261a5b7d7ae7597581781c5a473

Observation 74a66932-9a27-4741-8e65-e78d5a78ad27 · outbound

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

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Who's Harry Potter? Approximate Unlearning in LLMs

Reference 7

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:4b76b6f2ad0d5436441458b341350e48cc7b02bf4d9f88960319a586c8ab6893

Observation 04a5499b-b505-4d84-91ff-d6b6d499a690 · outbound

This paper cites Constrained entropic unlearning: A primal-dual framework for large language models.NeurIPS, 2025.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Constrained entropic unlearning: A primal-dual framework for large language models.NeurIPS, 2025

Reference 8

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:3f3b5952118099a43321fb05cdad6a12b71246b58363ebd3992a26bd5b47f5ac

Observation 531fcf0b-9bfe-40dd-ac78-b4c8f9bec168 · outbound

This paper cites Simplicity prevails: Rethinking negative preference optimization for LLM unlearning.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Simplicity prevails: Rethinking negative preference optimization for LLM unlearning

Reference 9

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:4735b6c59f002f76fa7cbbd2e01ba9c15b562b05420d00b5c56cf1ac067b7a8e

Observation 79a8afd7-d021-4998-bf8f-c645f5b51462 · outbound

This paper cites Gemini 3 Pro model card.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Gemini 3 Pro model card

Reference 10

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Observation 5f0ab1a0-d6b2-4b10-8b23-51f646c07bbe · outbound

This paper cites The Llama 3 Herd of Models.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem The Llama 3 Herd of Models

Reference 11

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:489231cf9afcd2484efe3965dbcc051afe07e3d5a4e5f2bf611f5ff45cfb39c8

Observation ce49f7b7-4fd5-47b1-b26b-5e8694c6f46c · outbound

This paper cites Measuring massive multitask language understanding.ICLR, 2021.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Measuring massive multitask language understanding.ICLR, 2021

Reference 12

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:bae56696c9722a764e46b7ebbe9eed8f4db8c499d6ffa56764f8f9341031b513

Observation b03d95cc-b0c3-40b9-8ea3-c4813696e72a · outbound

This paper cites Jogging the memory of unlearned llms through targeted relearning attacks.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Jogging the memory of unlearned llms through targeted relearning attacks

Reference 13

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:72cd31f1f30f2d0a2cbc609a7e3ff9279b5159f0643647204e60a6e9ace8bb51

Observation c8e07ede-a4e7-42b6-a106-b95dd502a99d · outbound

This paper cites BLUR: A Benchmark for LLM Unlearning Robust to Forget-Retain Overlap.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem BLUR: A Benchmark for LLM Unlearning Robust to Forget-Retain Overlap

Reference 14

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:1264d8fd49f63774f7b279d3bc97a181594c2f97f2bd762e1e7e04d36aae81ab

Observation 0c1eca13-7141-42af-99f8-5bf15e1d06e7 · outbound

This paper cites Plentiful jailbreaks with string compositions.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Plentiful jailbreaks with string compositions

Reference 15

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:0f9fc0aea54b610a0d3bab1808145e16b69c443421a8dec439e7616b02939915

Observation 14ae980e-1f88-4e6e-a522-df552bb75eb6 · outbound

This paper cites Knowledge Sanitization of Large Language Models.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Knowledge Sanitization of Large Language Models

Reference 16

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:054301ea58321175a187e5d1e8ea1f9f3b965a976b96e7e4542705c09c341d66

Observation 969f30b3-9330-4ae4-84f5-b232684b608d · outbound

This paper cites Knowledge unlearning for mitigating privacy risks in language models.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Knowledge unlearning for mitigating privacy risks in language models

Reference 17

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:0ce5a665dd0d974ec662545d2e2ddde8c02879a5ad474a4f1dd84ff47bda8f94

Observation 596222bf-45f3-479c-8121-29c1d7aa1106 · outbound

This paper cites Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate

Reference 18

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Observation 10a75c3f-2e29-4869-8164-fd7cc6a80836 · outbound

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

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Rwku: Benchmarking real-world knowledge unlearning for large language models

Reference 19

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Observation 94e20786-6613-4cd7-a1f0-fb0ebaa2c0e1 · outbound

This paper cites LLM unlearning with LLM beliefs.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem LLM unlearning with LLM beliefs

Reference 20

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Observation 4329ccd9-4e06-4f72-97db-88efb74e0a27 · outbound

This paper cites The wmdp benchmark: measuring and reducing malicious use with unlearning.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem The wmdp benchmark: measuring and reducing malicious use with unlearning

Reference 21

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Observation 4906bb33-4ef0-4e18-9ebd-0f141853792d · outbound

This paper cites Hashimoto.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Hashimoto

Reference 22

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Observation 04f3af84-2140-4e56-b124-4054ac285f6f · outbound

This paper cites Ministral 3.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Ministral 3

Reference 23

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Observation 7db96013-3f58-4656-8f7f-d7919396277d · outbound

This paper cites Continual learning and private unlearning.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Continual learning and private unlearning

Reference 24

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Observation db275a43-d5e4-45bd-a22b-61baf0588dd2 · outbound

This paper cites Rethinking machine unlearning for large language models.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Rethinking machine unlearning for large language models

Reference 25

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Observation 1b4b48ae-c2df-4dbb-8d6d-2382513e7e10 · outbound

This paper cites Decoupled weight decay regularization.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Decoupled weight decay regularization

Reference 26

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Observation 9a5c0652-eef1-440d-8686-9c3719fce80f · outbound

This paper cites An adversarial perspective on machine unlearning for ai safety.Transactions on Machine Learning Research, 2025.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem An adversarial perspective on machine unlearning for ai safety.Transactions on Machine Learning Research, 2025

Reference 27

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Observation 8888c868-11a5-4c60-8a99-7de2a31183be · outbound

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

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Eight Methods to Evaluate Robust Unlearning in LLMs

Reference 28

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:bcf772de9d88e9dd6988077cc1d60b0729e1835c7b8a7c25d4e4e1e8343953f1

Observation a2e19780-2df6-4530-a9d3-449b8465f434 · outbound

This paper cites Yago3: A knowledge base from multilingual wikipedias.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Yago3: A knowledge base from multilingual wikipedias

Reference 29

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Observation 8c82f780-9554-4f60-8619-6b7f2ca491c5 · outbound

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

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Tofu: A task of fictitious unlearning for llms

Reference 30

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Observation 592c4546-2ad5-4f59-87c1-53eb3193167c · outbound

This paper cites Locating and editing factual associations in gpt.NeurIPS, 2022.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Locating and editing factual associations in gpt.NeurIPS, 2022

Reference 31

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Observation 48955847-e9fe-4d81-b120-c50a10b8a68f · outbound

This paper cites Introducing ChatGPT.https://openai.com/blog/chatgpt, 2022.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Introducing ChatGPT.https://openai.com/blog/chatgpt, 2022

Reference 32

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Observation ee70b00f-f467-431e-ba14-c1c6330b36df · outbound

This paper cites Safety alignment should be made more than just a few tokens deep.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Safety alignment should be made more than just a few tokens deep

Reference 33

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Observation 2d092cc8-3c5d-43a4-909e-b7f4d6322467 · outbound

This paper cites Qwen3.5: Towards native multimodal agents, 2026.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Qwen3.5: Towards native multimodal agents, 2026

Reference 34

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Observation 419560a7-88f5-41f5-a7d3-02514ce55136 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.NeurIPS, 2023.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Direct preference optimization: Your language model is secretly a reward model.NeurIPS, 2023

Reference 35

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:debf7d88536590b90216fcd5b1b4ccbfc97cdfce90e88e21f0a01a29788e2ba2

Observation c041003f-2c40-466d-8882-082fdd437cb6 · outbound

This paper cites LUME: LLM Unlearning with Multitask Evaluations.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem LUME: LLM Unlearning with Multitask Evaluations

Reference 36

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:232d20f11caffc7a4266c6fe1e29676477d0d4e3c4e0f27554689bcee93022f0

Observation 8e61e3ad-40a0-478c-8275-59f56490515d · outbound

This paper cites RippleBench: Capturing Ripple Effects Using Existing Knowledge Repositories.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem RippleBench: Capturing Ripple Effects Using Existing Knowledge Repositories

Reference 37

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Observation e6240cb4-668c-4780-b461-79257dd74ecc · outbound

This paper cites Soft prompt threats: Attacking safety alignment and unlearning in open-source LLMs through the embedding space.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Soft prompt threats: Attacking safety alignment and unlearning in open-source LLMs through the embedding space

Reference 38

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Observation 79aa1931-9032-439a-bd7d-6ec35624a8ef · outbound

This paper cites The unlearning mirage: A dynamic framework for evaluating llm unlearning.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem The unlearning mirage: A dynamic framework for evaluating llm unlearning

Reference 39

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Observation ce8c5067-635c-4792-83b0-513263d18319 · outbound

This paper cites LLM unlearning via neural activation redirection.NeurIPS, 2025.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem LLM unlearning via neural activation redirection.NeurIPS, 2025

Reference 40

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Observation 15249d71-8c3b-4800-9a9d-897b8e61a11a · outbound

This paper cites Do anything now.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Do anything now

Reference 41

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Observation b7ef38eb-0f72-4ccf-bc4d-b2db0dc686a3 · outbound

This paper cites Smith, and Chiyuan Zhang.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Smith, and Chiyuan Zhang

Reference 42

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Observation 0d9cf354-fbb8-4515-b469-46b9408cdd6b · outbound

This paper cites Unlearning That Lasts: Utility-Preserving, Robust, and Almost Irreversible Forgetting in LLMs.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Unlearning That Lasts: Utility-Preserving, Robust, and Almost Irreversible Forgetting in LLMs

Reference 43

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Observation 60c11e9a-ce4a-400e-ac45-5463d681fb25 · outbound

This paper cites Position: Llm unlearning benchmarks are weak measures of progress.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Position: Llm unlearning benchmarks are weak measures of progress

Reference 44

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Observation 9b18fa4c-a6b7-4e3d-afcb-6672b891407a · outbound

This paper cites Towards effective evaluations and comparisons for llm unlearning methods.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Towards effective evaluations and comparisons for llm unlearning methods

Reference 45

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Observation 56045a39-0fd7-4da1-a8c8-b7c9beba741a · outbound

This paper cites Rethinking llm unlearning objectives: A gradient perspective and go beyond.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Rethinking llm unlearning objectives: A gradient perspective and go beyond

Reference 46

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:1a7daf8b41eb49974b29c5ab60ae95ad8d57242e81e899c7b22e82123c4b6cfe

Observation 6d3bb21e-5388-4304-b8d6-47ee0d552d70 · outbound

This paper cites Jailbroken: How does LLM safety training fail? In NeurIPS, 2023.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Jailbroken: How does LLM safety training fail? In NeurIPS, 2023

Reference 47

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Observation 3ba12b3e-bec3-4b83-9186-905cdfc5f8c6 · outbound

This paper cites Do llms really forget? evaluating unlearning with knowledge correlation and confidence awareness.NeurIPS, 2025.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Do llms really forget? evaluating unlearning with knowledge correlation and confidence awareness.NeurIPS, 2025

Reference 48

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:5a241a6018d20c95aa2eab7a0b9dfa4fe9013deee15a7b24cada8e8a54c526d1

Observation 9424878b-8d2d-4791-98c6-8831e908c328 · outbound

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

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Depn: Detecting and editing privacy neurons in pretrained language models

Reference 49

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:9755cad95438f8a3be8f92acbcdaa7d6d96ef4b988e068bd1bf30641e9f78372

Observation 64da3941-a65e-422a-b620-672f60a4681d · outbound

This paper cites Exploring criteria of loss reweighting to enhance LLM unlearning.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Exploring criteria of loss reweighting to enhance LLM unlearning

Reference 50

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:a1b288d8574d0626c31d4e24830b762658eb20e3f621b9a8a3a0660b8e720862

Observation 67c111eb-10a4-46fc-905e-336cafca94a8 · outbound

This paper cites Right to be forgotten in the era of large language models: Implications, challenges, and solutions.AI and Ethics, 5(3):2445–2454, 2025.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Right to be forgotten in the era of large language models: Implications, challenges, and solutions.AI and Ethics, 5(3):2445–2454, 2025

Reference 51

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:39dfa8849ea3c95ef0e21db811b6208b011757a914166162e13e7e2d6485bf66

Observation 074bf06e-9ab1-4156-8e68-0c24327b2b5e · outbound

This paper cites What did Abraham Lincoln eat for breakfast on the morning of May 12, 1863?.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem What did Abraham Lincoln eat for breakfast on the morning of May 12, 1863?

Reference 52

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Observation a6f6f40f-7d1a-4a69-a15a-c7c7d6cb3dd3 · outbound

This paper cites Atomic Fact.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Atomic Fact

Reference 53

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Observation b991f180-020d-4899-9850-1f5e5374dab7 · outbound

This paper cites approximately.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem approximately

Reference 54

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:6cba4cff80c79b0974923037c7a5c0060c38c5e7ea00478058d49a59849da615

Observation e41bc7a3-ddcc-435d-b5af-4f00229b1213 · outbound

This paper cites an unresolved cited work.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Unresolved cited work

Reference 55

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Observation f5aa01b7-d7e8-4e5c-9fbc-009bfc416bf9 · outbound

This paper cites How far away was the debris?.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem How far away was the debris?

Reference 56

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:b934415bbe7918b9a1307824f48f91295ad18fac75bea81af9dd3fc13c117a82

Observation fc4ecd48-e363-40e5-a45a-46d4ce9c9612 · outbound

This paper cites Canonical Significance.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Canonical Significance

Reference 57

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:9699394044ee5d5eb8afe7a1eaab767a4cd07378a0565fb08d97efb1e516c835

Observation 63e148d9-2791-4341-b500-85cc08010261 · outbound

This paper cites Avoid full sentences in the Answer field.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Avoid full sentences in the Answer field

Reference 58

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:7f4adc7d27062565f2606237db60834b57655b689154e4b357119a0c8b5d8976

Observation 403099aa-0560-47a8-a46f-84707d7ca5a3 · outbound

This paper cites What was the designation for theChallenger?.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem What was the designation for theChallenger?

Reference 59

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:60d9b4c304fb5e30e330fd5c5b4ca90d77da87095933b45c43aeb7fe2eb635a6

Observation 58a152fa-c9d4-45d5-b39d-8bd01d430125 · outbound

This paper cites an unresolved cited work.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Unresolved cited work

Reference 60

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Observation 2b233720-e82d-4f18-991a-fca75aec8bce · outbound

This paper cites it,” “the mission,.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem it,” “the mission,

Reference 61

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Observation 3e8ca251-ce54-4fea-9d4b-b9633ec65415 · outbound

This paper cites in days,.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem in days,

Reference 62

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Observation d56a2489-a9ca-401e-9e6c-8a795ef2e020 · outbound

This paper cites johnson space center.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem johnson space center

Reference 63

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:c8efb3bcf7b4bce4ed542e266fe537cb9ef717f29d0e386a3b7bb056188bd431

Observation cb18ee3c-7749-4914-8a82-2459d0a2ca12 · outbound

This paper cites Johnson Space Center.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Johnson Space Center

Reference 64

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Observation 043c3e5b-c789-4e5b-9948-2975f32d227e · outbound

This paper cites Challenger.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Challenger

Reference 65

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Observation 5378f0e8-40ae-4a4d-b5b5-ed0cc1c627a0 · outbound

This paper cites Crew cabin.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Crew cabin

Reference 66

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:ac043769e4faf7b12d0f031f05394ec9b7bafc416dc35b9068741adbffefbdb4

Observation 6e61596c-a718-4cd2-a923-d9f04519c71d · outbound

This paper cites booster” in the question does NOT make “solid rocket booster.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem booster” in the question does NOT make “solid rocket booster

Reference 67

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:d547797da5b7078d04f13a961a4ce2738a91ec02b27d99294359a16e46cb7d60

Observation bfd85f32-5b52-4821-9375-5c92838d183c · outbound

This paper cites 73 seconds.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem 73 seconds

Reference 68

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:9d28697b73423f275eb4d9af85e64ddb046d6f35e2193c1dcf90d84a7302b6c0

Observation 4ba635e5-4a09-4661-bf6e-57d8c5908c56 · outbound

This paper cites solid rocket booster.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem solid rocket booster

Reference 69

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:e45d65751e9724bb4b24fb034bbdb17ebc6b6af005dd6d3951341d05c9542e35

Observation e8359c9b-d864-4974-acdf-25f57f77c6a2 · outbound

This paper cites Challenger.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Challenger

Reference 70

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Observation 91daeb7c-6a0d-40be-ba4a-cc6c2d30557b · outbound

This paper cites Blue”→Model: “Red.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Blue”→Model: “Red

Reference 71

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:0edb47b0aeecdea9faca8a8d085c0108165dd2dd5436b3fd80f2a8340d0ded79

Observation feba50b8-56b4-4027-b877-f0620f4b007a · outbound

This paper cites All-Items.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem All-Items

Reference 72

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Observation 49565e29-9932-4a88-bb64-dc520e2eff96 · outbound

This paper cites It draws out moisture to create a brine and inhibits harmful bacteria.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem It draws out moisture to create a brine and inhibits harmful bacteria

Reference 73

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:4e816b3827ace4407a44911334b1005035707c5ba764ba483e13552e074ec583

Observation 78911c7d-6c78-4fca-8547-2563a5907243 · outbound

This paper cites An electrical spark.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem An electrical spark

Reference 74

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:f663526c57d8cc3d042d5de6159a556d9205995fd384231eb0001d9b76a496a2

Observation 64784176-cad0-4ee3-933d-3bea61fbf717 · outbound

This paper cites In short: EST and EDT are equivalent, and added timezone labels or dates never make a correct time value into a NO.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem In short: EST and EDT are equivalent, and added timezone labels or dates never make a correct time value into a NO

Reference 75

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Observation e856d498-6c31-48fe-94dd-b235710a3cc5 · outbound

This paper cites V olcanic ash.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem V olcanic ash

Reference 76

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source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:13808293ba9b7a4073a168cb62f6b420d41d740e16f8a3c9eeea4714c7c03769

Observation 5bc7393c-fbb1-4699-9318-3be909d3ae90 · outbound

This paper cites 32,001 feet.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem 32,001 feet

Reference 77

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no resolver link, observed 2026-07-13T04:30:23.082717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:f354cd46af185648777c6999f10d5288c19d0feb68432a9ace623cc9e1f9cb2c

Observation e65633c9-ed00-44b7-b454-faaf3373231b · outbound

This paper cites Dr. Evelyn Reed.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Dr. Evelyn Reed

Reference 78

Resolution
unresolved
no resolver link, observed 2026-07-13T04:30:23.082717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:d2bbf72d7efcbb2d4c7c107e7059885d6c1a85bdcf6910556eb0b8b911a71bcf

Observation 7bbac1e4-a830-40bb-a62f-e3b338fa7ea9 · outbound

This paper cites Dr. Evelyn Reed.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Dr. Evelyn Reed

Reference 79

Resolution
unresolved
no resolver link, observed 2026-07-13T04:30:23.082717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:2d9224b10fd95eaa0b846cc15117aa3577ef318539ea70f6dfb640d290273867

Observation 4ef5acf5-9cc9-4ada-a102-cc4943a2e3b9 · outbound

This paper cites reason":.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem reason":

Reference 80

Resolution
unresolved
no resolver link, observed 2026-07-13T04:30:23.082717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:6466b3357bd26909568292ea043923f483e6ef6947d309e29796f3dd494886d3

Pith citing papers

No inbound Pith citation observations are available.