Paper Citation Record · LEDGER

In-Context Unlearning: Language Models as Few Shot Unlearners

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 37 inbound Pith citation observations for arXiv:2310.07579.

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

pith.paper-citation-record.v1
2310.07579 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 37 of 37 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:57:22.883902Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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External citation measurements

12
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9d5b6e4a-f570-4e53-8c2c-516d659838fd · inbound

TOFU: A Task of Fictitious Unlearning for LLMs cites this paper.

TOFU: A Task of Fictitious Unlearning for LLMs In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T11:07:39.294412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0e083891-bf68-4355-b37d-c9a487662f89 · inbound

Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning cites this paper.

Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T22:26:55.072392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5452f49f-9697-4fdb-acaa-b6172e881ae4 · inbound

SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? cites this paper.

SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T10:57:22.883902Z

Source-reported events for the cited work

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Observation 2baea320-ed96-4927-a538-74fe8b0d3092 · inbound

Unified Parameter-Efficient Unlearning for LLMs cites this paper.

Unified Parameter-Efficient Unlearning for LLMs In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T05:31:00.868846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c604a7d-d661-4455-897b-13ff31d233a5 · inbound

Multi-Objective Large Language Model Unlearning cites this paper.

Multi-Objective Large Language Model Unlearning In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T23:27:37.697461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 717425e1-96bf-45e6-a91c-13eb620177ea · inbound

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation cites this paper.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.809808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d520179-86f4-4f8f-ae9f-e00c90236449 · inbound

Agents Are All You Need for LLM Unlearning cites this paper.

Agents Are All You Need for LLM Unlearning In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.705924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55289d4d-4c9c-439c-96e5-814274229821 · inbound

Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond cites this paper.

Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T19:40:31.585388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6b5e691-cf17-48c7-a037-b2083f83939d · inbound

R-TOFU: Unlearning in Large Reasoning Models cites this paper.

R-TOFU: Unlearning in Large Reasoning Models In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:09.277273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f2a4874-76f8-4a5a-bf4a-354e9a713de6 · inbound

ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models cites this paper.

ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:09.130469Z

Source-reported events for the cited work

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Observation b5843064-5d0d-490a-81f2-bd9ec93c0d83 · inbound

SoK: Machine Unlearning for Large Language Models cites this paper.

SoK: Machine Unlearning for Large Language Models In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:58:47.445724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6569e482-0535-4487-850e-fad30ca062d1 · inbound

Lifting Data-Tracing Machine Unlearning to Knowledge-Tracing for Foundation Models cites this paper.

Lifting Data-Tracing Machine Unlearning to Knowledge-Tracing for Foundation Models In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:59.102844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41250d86-af8c-4665-a359-52d40c756c20 · inbound

UCD: Unlearning in LLMs via Contrastive Decoding cites this paper.

UCD: Unlearning in LLMs via Contrastive Decoding In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:59.881912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cb29f7a-c77c-4ace-b6d5-ed89e935059d · inbound

The Space Complexity of Learning-Unlearning Algorithms cites this paper.

The Space Complexity of Learning-Unlearning Algorithms In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T00:53:51.478659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76f97e4d-ae80-4bf4-8bf3-10acbdb965c3 · inbound

Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs cites this paper.

Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T00:29:37.230777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8da2733b-f91e-450c-97a0-ffd03518c0a9 · inbound

Step-by-Step Reasoning Attack: Revealing 'Erased' Knowledge in Large Language Models cites this paper.

Step-by-Step Reasoning Attack: Revealing 'Erased' Knowledge in Large Language Models In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:56:31.592736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d342d9a0-8ce1-4107-9282-4faff10af109 · inbound

Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization cites this paper.

Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T17:26:45.425521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c736dc57-e7c8-4c9e-be0a-e5f44ac5adf3 · inbound

What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests cites this paper.

What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:33.721715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e27839f4-8ecf-4282-9201-b5ae5299ca84 · inbound

Generating Project-Specific Test Cases with Requirement Validation Intention cites this paper.

Generating Project-Specific Test Cases with Requirement Validation Intention In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:17:00.780906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1d9e1ad5-fc32-4ee7-a184-567033d4fd30 · inbound

Towards Evaluation for Real-World LLM Unlearning cites this paper.

Towards Evaluation for Real-World LLM Unlearning In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T05:48:02.768760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 832792bf-5971-437a-b384-831e7d3557aa · inbound

OFMU: Optimization-Driven Framework for Machine Unlearning cites this paper.

OFMU: Optimization-Driven Framework for Machine Unlearning In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:06:23.563133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 50bd4857-08bf-4fed-9325-fe060a7df2e1 · inbound

Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning cites this paper.

Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T10:46:17.032466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 65baeb04-f295-4b0d-9eb6-d9efbf38b680 · inbound

Distribution Preference Optimization: A Fine-grained Perspective for LLM Unlearning cites this paper.

Distribution Preference Optimization: A Fine-grained Perspective for LLM Unlearning In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T11:27:22.765817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a4fdc75-73f2-4551-88cc-2e8b6bef355b · inbound

Can VLMs Truly Forget? Benchmarking Training-Free Visual Concept Unlearning cites this paper.

Can VLMs Truly Forget? Benchmarking Training-Free Visual Concept Unlearning In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T19:48:11.161618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a9d6b6f3-2485-4e70-b711-d2018b3856ee · inbound

Is your algorithm unlearning or untraining? cites this paper.

Is your algorithm unlearning or untraining? In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:30:59.177515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6e122d78-e7b5-4833-b848-879d04d8c2ff · inbound

Representation-Guided Parameter-Efficient LLM Unlearning cites this paper.

Representation-Guided Parameter-Efficient LLM Unlearning In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 105

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:06:19.350032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a7a1b9c1-f292-4fae-958a-c55365153020 · inbound

Unlearning What Matters: Token-Level Attribution for Precise Language Model Unlearning cites this paper.

Unlearning What Matters: Token-Level Attribution for Precise Language Model Unlearning In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:36:06.644360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1a2e266c-8427-41e8-bd9a-262bf30ab745 · inbound

Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set cites this paper.

Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 68

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:11:08.583521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 031dd126-7385-4b8f-a036-f766ed5d96af · inbound

Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set cites this paper.

Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 68

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T07:35:28.984769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 04e72785-69b5-4bca-8a55-eeec835a5c6a · inbound

DurableUn: Quantization-Induced Recovery Attacks in Machine Unlearning cites this paper.

DurableUn: Quantization-Induced Recovery Attacks in Machine Unlearning In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:10:42.179563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b7d23927-672b-4efa-a0ac-cceb4c817c3a · inbound

DurableUn: Quantization-Induced Recovery Attacks in Machine Unlearning cites this paper.

DurableUn: Quantization-Induced Recovery Attacks in Machine Unlearning In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T01:50:51.149309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bdf0779b-0d45-4fd3-ad69-37d25693ec98 · inbound

Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning cites this paper.

Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T19:03:51.490597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7f95fcee-05ca-48cb-94d6-6057aec639ab · inbound

AI as a Tool for Simulation-Based Experiments in Literary Studies cites this paper.

AI as a Tool for Simulation-Based Experiments in Literary Studies In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-06-28T15:02:19.001782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2e356bbf-02ac-4ce3-98ae-8a7ecffe57f9 · inbound

Short paper: Models in the dark -- Rectification and erasure under GDPR in ML supply chains cites this paper.

Short paper: Models in the dark -- Rectification and erasure under GDPR in ML supply chains In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:36:55.021025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e565bb67-a974-418f-8582-60ab0f9e98a8 · inbound

RPO-PDT: Demonstrating Role-Play-Based Knowledge Adaptation for Student Support Dialogue (Demonstration System) cites this paper.

RPO-PDT: Demonstrating Role-Play-Based Knowledge Adaptation for Student Support Dialogue (Demonstration System) In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T01:17:30.427132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d5839b9e-be83-4d10-92db-276048218520 · inbound

LLM Unlearning for Cyber Defense: A Survey on Methods, Challenges, and Emerging Threats cites this paper.

LLM Unlearning for Cyber Defense: A Survey on Methods, Challenges, and Emerging Threats In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-02T10:25:19.879990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24ff7e0c-2506-4e4e-a964-a6d9ae135c48 · inbound

GROM: Gradient-Free Rapid One-Shot Machine Unlearning cites this paper.

GROM: Gradient-Free Rapid One-Shot Machine Unlearning In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T23:36:41.710033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.