Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-13T04:30:23.082717Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-13T04:30:23.082717Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
80 of 80 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 6de22fa8-69a8-4ba7-8e39-36844e6c49b2 · outbound
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Introducing Claude Sonnet 4.6
Reference 1
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Observation af9a6449-aaca-42dc-b908-777002f3f9fc · outbound
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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Observation 19b7ad08-6c09-42cf-bb54-7a9823e5a270 · outbound
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
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Multilingual jailbreak challenges in large language models
Reference 4
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Observation b9fb7d61-0cde-40cb-a6fd-a862d400510f · outbound
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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Observation 8c1535d6-c0ec-43ee-90a8-2fab73014fca · outbound
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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Observation 74a66932-9a27-4741-8e65-e78d5a78ad27 · outbound
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Who's Harry Potter? Approximate Unlearning in LLMs
Reference 7
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Unavailable: canonical work link unavailable.
Observation 04a5499b-b505-4d84-91ff-d6b6d499a690 · outbound
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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Observation 531fcf0b-9bfe-40dd-ac78-b4c8f9bec168 · outbound
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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Observation 79a8afd7-d021-4998-bf8f-c645f5b51462 · outbound
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
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem The Llama 3 Herd of Models
Reference 11
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Observation ce49f7b7-4fd5-47b1-b26b-5e8694c6f46c · outbound
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Measuring massive multitask language understanding.ICLR, 2021
Reference 12
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Observation b03d95cc-b0c3-40b9-8ea3-c4813696e72a · outbound
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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Unavailable: canonical work link unavailable.
Observation c8e07ede-a4e7-42b6-a106-b95dd502a99d · outbound
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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Observation 0c1eca13-7141-42af-99f8-5bf15e1d06e7 · outbound
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Plentiful jailbreaks with string compositions
Reference 15
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Observation 14ae980e-1f88-4e6e-a522-df552bb75eb6 · outbound
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Knowledge Sanitization of Large Language Models
Reference 16
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Observation 969f30b3-9330-4ae4-84f5-b232684b608d · outbound
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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Observation 596222bf-45f3-479c-8121-29c1d7aa1106 · outbound
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
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
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
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
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Hashimoto
Reference 22
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Observation 04f3af84-2140-4e56-b124-4054ac285f6f · outbound
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
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Continual learning and private unlearning
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db275a43-d5e4-45bd-a22b-61baf0588dd2 · outbound
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
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
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
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Eight Methods to Evaluate Robust Unlearning in LLMs
Reference 28
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Observation a2e19780-2df6-4530-a9d3-449b8465f434 · outbound
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
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
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
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
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
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
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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Observation c041003f-2c40-466d-8882-082fdd437cb6 · outbound
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem LUME: LLM Unlearning with Multitask Evaluations
Reference 36
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Observation 8e61e3ad-40a0-478c-8275-59f56490515d · outbound
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem RippleBench: Capturing Ripple Effects Using Existing Knowledge Repositories
Reference 37
Source-reported events for the cited work
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Observation e6240cb4-668c-4780-b461-79257dd74ecc · outbound
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
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
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem LLM unlearning via neural activation redirection.NeurIPS, 2025
Reference 40
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Unavailable: canonical work link unavailable.
Observation 15249d71-8c3b-4800-9a9d-897b8e61a11a · outbound
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
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
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
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
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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Unavailable: canonical work link unavailable.
Observation 56045a39-0fd7-4da1-a8c8-b7c9beba741a · outbound
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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Observation 6d3bb21e-5388-4304-b8d6-47ee0d552d70 · outbound
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
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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Observation 9424878b-8d2d-4791-98c6-8831e908c328 · outbound
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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Unavailable: canonical work link unavailable.
Observation 64da3941-a65e-422a-b620-672f60a4681d · outbound
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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Observation 67c111eb-10a4-46fc-905e-336cafca94a8 · outbound
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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Observation 074bf06e-9ab1-4156-8e68-0c24327b2b5e · outbound
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
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
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem approximately
Reference 54
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Observation e41bc7a3-ddcc-435d-b5af-4f00229b1213 · outbound
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
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem How far away was the debris?
Reference 56
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Observation fc4ecd48-e363-40e5-a45a-46d4ce9c9612 · outbound
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Canonical Significance
Reference 57
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Observation 63e148d9-2791-4341-b500-85cc08010261 · outbound
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Avoid full sentences in the Answer field
Reference 58
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Observation 403099aa-0560-47a8-a46f-84707d7ca5a3 · outbound
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem What was the designation for theChallenger?
Reference 59
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Observation 58a152fa-c9d4-45d5-b39d-8bd01d430125 · outbound
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
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
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
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem johnson space center
Reference 63
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Observation cb18ee3c-7749-4914-8a82-2459d0a2ca12 · outbound
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
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Challenger
Reference 65
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Observation 5378f0e8-40ae-4a4d-b5b5-ed0cc1c627a0 · outbound
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Crew cabin
Reference 66
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Observation 6e61596c-a718-4cd2-a923-d9f04519c71d · outbound
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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Observation bfd85f32-5b52-4821-9375-5c92838d183c · outbound
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem 73 seconds
Reference 68
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Observation 4ba635e5-4a09-4661-bf6e-57d8c5908c56 · outbound
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem solid rocket booster
Reference 69
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Observation e8359c9b-d864-4974-acdf-25f57f77c6a2 · outbound
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Challenger
Reference 70
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Observation 91daeb7c-6a0d-40be-ba4a-cc6c2d30557b · outbound
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Blue”→Model: “Red
Reference 71
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Observation feba50b8-56b4-4027-b877-f0620f4b007a · outbound
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
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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Observation 78911c7d-6c78-4fca-8547-2563a5907243 · outbound
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem An electrical spark
Reference 74
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Observation 64784176-cad0-4ee3-933d-3bea61fbf717 · outbound
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
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem V olcanic ash
Reference 76
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Observation 5bc7393c-fbb1-4699-9318-3be909d3ae90 · outbound
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem 32,001 feet
Reference 77
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Observation e65633c9-ed00-44b7-b454-faaf3373231b · outbound
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Dr. Evelyn Reed
Reference 78
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Observation 7bbac1e4-a830-40bb-a62f-e3b338fa7ea9 · outbound
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Dr. Evelyn Reed
Reference 79
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Observation 4ef5acf5-9cc9-4ada-a102-cc4943a2e3b9 · outbound
Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem reason":
Reference 80
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No inbound Pith citation observations are available.