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Paper Citation Record · LEDGER

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models

As of 23 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 2 inbound Pith citation observations for arXiv:2510.17620.

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

pith.paper-citation-record.v1
2510.17620 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:02:58.867215Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:17:57.087939Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T21:52:48.289729Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation afe33068-3b6d-4897-8d5b-9268e7edf752 · outbound

This paper cites Many-shot in-context learning.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Many-shot in-context learning

Reference 1

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source=arxiv_source observed=2026-08-04T09:02:56.589987Z digest=sha256:5dc95e01c3ff76dce831d2439feb54706ed510af9760b99ff90d95116660f344

Observation 9d919109-be46-4e46-91fe-0aed52c91aae · outbound

This paper cites Language models are few-shot learners.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Language models are few-shot learners

Reference 2

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source=arxiv_source observed=2026-08-04T09:02:56.659735Z digest=sha256:33e7f643e1bcfbee130e7adb438963b44748ac33e440584bf6d752a538f75bf7

Observation baf37ec2-f757-4a9a-ba81-4faf8bca61cf · outbound

This paper cites Extracting training data from large language models.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Extracting training data from large language models

Reference 3

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source=arxiv_source observed=2026-08-04T09:02:56.718160Z digest=sha256:3f169e923313edf3abb5e6b841369a783d42d008d5231c37dca0465d6a2d71f9

Observation 913cca17-5042-41f0-ab06-cd1612acd831 · outbound

This paper cites Lift yourself up: Retrieval-augmented text generation with self-memory.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Lift yourself up: Retrieval-augmented text generation with self-memory

Reference 4

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source=arxiv_source observed=2026-08-04T09:02:56.792224Z digest=sha256:485490e66d1edf267a6d3394a840aee4c8212856ba4c5ea7af5f2b24d8aacee9

Observation 661f3828-5323-4faa-b94d-43da4cfbabf8 · outbound

This paper cites Machine unlearning doesn't do what you think: Lessons for generative ai policy, research, and practice.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Machine unlearning doesn't do what you think: Lessons for generative ai policy, research, and practice

Reference 5

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source=arxiv_source observed=2026-08-04T09:02:56.857829Z digest=sha256:4cdfc02b16431ee737c4ec05848d4d2f7df2cc80c2d2a1a86dc952449bddb340

Observation 54f32a49-a27e-4887-ba1d-df0e15dd1341 · outbound

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

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Undial: Self-distillation with adjusted logits for robust unlearning in large language models

Reference 6

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source=arxiv_source observed=2026-08-04T09:02:56.922572Z digest=sha256:e6641cee3c2a3e7f4e99f892bbe30475904bc7d81ea68ccab5d04c3269f55e86

Observation 73264993-dfd2-4071-8e90-3e3545296785 · outbound

This paper cites Openunlearning: Accelerating llm unlearning via unified benchmarking of methods and metrics.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Openunlearning: Accelerating llm unlearning via unified benchmarking of methods and metrics

Reference 7

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source=arxiv_source observed=2026-08-04T09:02:56.986290Z digest=sha256:90bd408503ffebe0ce2e7f14ffae036a924102db8fdad4cc15fa41fcc0784a9b

Observation 1b0d1a6b-49b9-4066-a1b3-1ace06d235c5 · outbound

This paper cites The llama 3 herd of models.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models The llama 3 herd of models

Reference 8

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source=arxiv_source observed=2026-08-04T09:02:57.061109Z digest=sha256:543fe8eec789a92d022c41461850b8afc0169aea405b8b361ad5f8f090022efb

Observation 6a9103c2-1d1d-4f7a-95e9-80f9ab8a6f6f · outbound

This paper cites Foundation models and fair use.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Foundation models and fair use

Reference 9

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source=arxiv_source observed=2026-08-04T09:02:57.122580Z digest=sha256:be7f1c2661170aef871fb4eeb3937beaf027783e865d908794fe57a54357acd4

Observation 4f46402a-f125-43c7-9bf4-8d077be852cc · outbound

This paper cites Unlearning or obfuscating? jogging the memory of unlearned LLM s via benign relearning.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Unlearning or obfuscating? jogging the memory of unlearned LLM s via benign relearning

Reference 10

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source=arxiv_source observed=2026-08-04T09:02:57.188868Z digest=sha256:02b66ffded2757d85f38e8f5bdc0faba13a335b825dbd84fd2af312f586211fa

Observation 7cb3baa9-0a0c-4c60-ae03-3450618bfdce · outbound

This paper cites On information and sufficiency.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models On information and sufficiency

Reference 11

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source=arxiv_source observed=2026-08-04T09:02:57.237080Z digest=sha256:f5a698e9d7ae98112dd806c3e051a2805a85ad8bd8dea53e4af2ddd4f5124d8b

Observation c7157ab9-464e-4c27-b0cc-77dc1f0abc43 · outbound

This paper cites u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \

Reference 12

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source=arxiv_source observed=2026-08-04T09:02:57.298998Z digest=sha256:71c8d9a719917c32a70d0663c51767d38d4e930e51a9c14daaf13611833eccd0

Observation eef55d37-a6ce-4042-a4fc-00eaefeca679 · outbound

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

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models The wmdp benchmark: Measuring and reducing malicious use with unlearning

Reference 13

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source=arxiv_source observed=2026-08-04T09:02:57.400032Z digest=sha256:0b29cbf72c124f37124e42a273e64323c67b59d91d7918e15ee89233e44d3f46

Observation 2e5c4dc6-ddfd-4902-b06e-393d266a9400 · outbound

This paper cites Decoupled weight decay regularization.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Decoupled weight decay regularization

Reference 14

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source=arxiv_source observed=2026-08-04T09:02:57.470797Z digest=sha256:3a634e5626ddc4dd995ad8c80eff9205124b0a6c2591ef1a48ce986b9f80fd67

Observation 515053c9-9cfa-4be4-996f-eebb863b70a6 · outbound

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

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Tofu: A task of fictitious unlearning for llms

Reference 15

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source=arxiv_source observed=2026-08-04T09:02:57.571949Z digest=sha256:5b0a3042d00ac6f6bb2fc5d76f11eadff471a25b2bd013d86a275125fcf72ab2

Observation 0e129391-bcfa-4ec8-a6e6-285df863b73c · outbound

This paper cites Zhang, and Nicolas Papernot.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Zhang, and Nicolas Papernot

Reference 16

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source=arxiv_source observed=2026-08-04T09:02:57.636288Z digest=sha256:9638a78e72c1c179da8bb1962959f208724bedff75ec4c271477177fdd57f546

Observation d66c5c8d-6377-437e-9469-0fe4c30003fd · outbound

This paper cites Scalable extraction of training data from aligned, production language models.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Scalable extraction of training data from aligned, production language models

Reference 17

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source=arxiv_source observed=2026-08-04T09:02:57.703933Z digest=sha256:0bc5422b401ab81048cd3fca0c4fdcd20e77eae54fc1494bdebc39bccdff4051

Observation ad860cc6-141c-4045-85dd-93bc3b0f02ba · outbound

This paper cites Training language models to follow instructions with human feedback.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Training language models to follow instructions with human feedback

Reference 18

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source=arxiv_source observed=2026-08-04T09:02:57.738078Z digest=sha256:501114ab97c6f99983a8e8f4e0e89855d1faf4aa6ca3036e31b9a03c210e34d2

Observation c906a23e-7add-49eb-b27c-3b759b4d77cc · outbound

This paper cites In-context unlearning: Language models as few-shot unlearners.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models In-context unlearning: Language models as few-shot unlearners

Reference 19

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source=arxiv_source observed=2026-08-04T09:02:57.806837Z digest=sha256:81c95cc4a87c482ec7506f332e20ebbf6c08047b42bc4866a0a3ef4a83d49082

Observation 9cdfcf14-e6cc-4280-8a61-06bda597426b · outbound

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

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Direct preference optimization: Your language model is secretly a reward model

Reference 20

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source=arxiv_source observed=2026-08-04T09:02:57.869009Z digest=sha256:2a8dfad9eb0a76068e26f022e3715b011fd5e8a1f2b38dc271d87a7be7c0134f

Observation 5be3a77d-b771-4c32-99b8-1ce3d97ffd33 · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 21

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source=arxiv_source observed=2026-08-04T09:02:57.932322Z digest=sha256:d1fa804de08b35816c2bd444875923c61ce09e3031cee7dd9709598b2ec24f30

Observation ff1c0b33-d0f1-4400-8463-f6eedca6b6d8 · outbound

This paper cites Smith, and Chiyuan Zhang.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Smith, and Chiyuan Zhang

Reference 22

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source=arxiv_source observed=2026-08-04T09:02:57.974621Z digest=sha256:b2a0c30195d8bc70de18b86cace21e3411eed4768deca7bcefb932242cedac59

Observation d13a2d0b-6dd7-47ef-892e-c7d3b823ba60 · outbound

This paper cites UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI

Reference 23

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source=arxiv_source observed=2026-08-04T09:02:58.070315Z digest=sha256:c9ef29f800d67e2aab696e1668160343ec4ce905266a6f42c4301292a3622a7d

Observation 290264c0-4d8a-49ad-a3c0-7694b9c59284 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Gemma: Open Models Based on Gemini Research and Technology

Reference 24

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source=arxiv_source observed=2026-08-04T09:02:58.143340Z digest=sha256:d7db5701ea923e41162ae1e1cb4a15609ebb26ea60c769eaa6a3dc500e318bc3

Observation 987d0d00-db0a-4769-a038-53e0a64e9f64 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 25

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source=arxiv_source observed=2026-08-04T09:02:58.203870Z digest=sha256:e7bf1971033e95dd3527005ae9447c66605c6157a8db83a054a4ef5991ffe7b3

Observation 5207f46e-5a19-4b64-8b66-f61aca1939ed · outbound

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

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Rethinking LLM unlearning objectives: A gradient perspective and go beyond

Reference 26

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source=arxiv_source observed=2026-08-04T09:02:58.248242Z digest=sha256:822b1196ff81147f1391e98963bd2d1e845caf299a9ef2a67467f32870a708b6

Observation 9c5243f6-abb7-494e-89aa-8d845397eae6 · outbound

This paper cites Qwen3 Technical Report.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Qwen3 Technical Report

Reference 27

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source=arxiv_source observed=2026-08-04T09:02:58.310809Z digest=sha256:db23bf1fa98a3fb24717f7a4f17a4891e8d712837ec501ec19c4643c95a7b372

Observation 4d26c23f-d41f-4a57-8881-90d3d93836a1 · outbound

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

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Exploring criteria of loss reweighting to enhance LLM unlearning

Reference 28

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source=arxiv_source observed=2026-08-04T09:02:58.383049Z digest=sha256:f27611459124b50d13b4bb054327f83b7083eafc8747843186abeb75f8bad771

Observation 396852ee-c947-41cd-8e46-8e339f75a142 · outbound

This paper cites Large language model unlearning.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Large language model unlearning

Reference 29

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source=arxiv_source observed=2026-08-04T09:02:58.439424Z digest=sha256:1d2ae2a40d07ec5f90ebbe23c1c16813506c80a56b431377ca3fc0faefd9550a

Observation c87ff72b-f95f-46ba-94ec-65acd9db67cd · outbound

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

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Negative preference optimization: From catastrophic collapse to effective unlearning

Reference 30

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source=arxiv_source observed=2026-08-04T09:02:58.484539Z digest=sha256:dfc66527a70958b17fcc0380287a87c1e844fc6506868d8a25d3020649d88e97

Observation c6c18faa-f6b1-40e0-9d3f-22754a319573 · outbound

This paper cites RAFT: Adapting Language Model to Domain Specific RAG.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models RAFT: Adapting Language Model to Domain Specific RAG

Reference 31

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source=arxiv_source observed=2026-08-04T09:02:58.544833Z digest=sha256:32dc06a97db5c96c620807f6ddc6b1be0ca1d77da7a0550d513cde43e7a6df43

Observation ae1e5b38-3cfe-4582-9a68-8f21cf999da3 · outbound

This paper cites write newline.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models write newline

Reference 32

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source=arxiv_source observed=2026-08-04T09:02:58.637636Z digest=sha256:2cf0ddfe6c7032166fb49880a17c1950a85a6b7871989776aa45b0d93d55bcc8

Observation b6bbd9a2-9904-457d-857b-8682b8b16dd7 · outbound

This paper cites @esa (Ref.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models @esa (Ref

Reference 33

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source=arxiv_source observed=2026-08-04T09:02:58.731487Z digest=sha256:2f92b7c1c74959b87c00bda543f1da92892f458870cf85627163eae07c6891b0

Observation d962c8cd-a5e3-4b84-8a21-04182db2924a · outbound

This paper cites an unresolved cited work.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Unresolved cited work

Reference 34

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source=arxiv_source observed=2026-08-04T09:02:58.795910Z digest=sha256:e720b17ac65aaf02d7c594c312f8090ee0f6fbcd8f10af1b5e2e5f8c2cd93e7a

Observation 06d49843-f227-4c8d-8e09-e41a2e4a522e · outbound

This paper cites The full name of the author born in Kuwait City, Kuwait on the 8th of September, 1956 is Basil Mahfouz Al-Kuwaiti.

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models The full name of the author born in Kuwait City, Kuwait on the 8th of September, 1956 is Basil Mahfouz Al-Kuwaiti

Reference 35

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source=arxiv_source observed=2026-08-04T09:02:58.867215Z digest=sha256:072bdaf52eb07968c1f011825b2eb82a3fabcd9ef426b2b59f0f80df52eff339

Pith citing papers

Observation 0f9368d6-7c5a-42ce-847a-a7347a4f5204 · inbound

Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning cites this paper.

Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models

Reference 93

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verified exact
arxiv_id, observed 2026-05-28T02:04:10.854132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-19T21:49:07.440832Z digest=sha256:ec8ac35f817bc5e182f67441f1c337a7aca477d1933787db076d5af24aed7103

Observation 138ce22c-9443-413b-bfef-09918e0bc209 · inbound

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning cites this paper.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models

Reference 166

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no resolver link, observed 2026-08-15T14:17:57.087939Z

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source=arxiv_source observed=2026-08-15T14:17:57.087939Z digest=sha256:7779259ca8e468e7be4754c1be91387daa6c27f22e18c524cca096e2aa225c3a