Paper Citation Record · LEDGER

On the Privacy Risk of In-context Learning

As of 16 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 6 inbound Pith citation observations for arXiv:2411.10512.

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

pith.paper-citation-record.v1
2411.10512 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:46:24.113358Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:32:34.218385Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:50:11.152745Z

Reference resolution

53 of 53 outbound references displayed

verified exact0
verified fuzzy17
unresolved36
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5de471cc-d395-4dc3-be46-e4c90a0e4962 · outbound

This paper cites URL: " 'urlintro :=.

On the Privacy Risk of In-context Learning URL: " 'urlintro :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:23.889884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e13e7c2-9c94-4936-8966-eb78b3d354a1 · outbound

This paper cites write newline.

On the Privacy Risk of In-context Learning write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:23.895112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a564f82b-0595-44fd-b6db-90cfee806b55 · outbound

This paper cites Deep learning with differential privacy.

On the Privacy Risk of In-context Learning Deep learning with differential privacy

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:23.900309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b00b5ca-8972-4dbe-a249-dacf990cebc9 · outbound

This paper cites Large-Scale Differentially Private BERT.

On the Privacy Risk of In-context Learning Large-Scale Differentially Private BERT

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:23.904802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 526a1e51-6536-4bfb-a262-d16482439990 · outbound

This paper cites Language models are few-shot learners.

On the Privacy Risk of In-context Learning Language models are few-shot learners

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:23.909415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c09d57d9-36a6-4c12-841a-819706448464 · outbound

This paper cites The secret sharer: Evaluating and testing unintended memorization in neural networks.

On the Privacy Risk of In-context Learning The secret sharer: Evaluating and testing unintended memorization in neural networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:24.672958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eb4e886e-e804-4e5b-b72d-99acfa665d2b · outbound

This paper cites Extracting training data from large language models.

On the Privacy Risk of In-context Learning Extracting training data from large language models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:23.919563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79c28d46-0905-4ecd-8928-12ba4f55278b · outbound

This paper cites Membership inference attacks from first principles.

On the Privacy Risk of In-context Learning Membership inference attacks from first principles

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:24.653139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 08785e91-d30c-495e-9539-60735f4642b5 · outbound

This paper cites Quantifying Memorization Across Neural Language Models.

On the Privacy Risk of In-context Learning Quantifying Memorization Across Neural Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:23.928255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63fc0146-609d-4f45-8b50-6fb9b9bf65c2 · outbound

This paper cites Relaxloss: Defending membership inference attacks without losing utility.

On the Privacy Risk of In-context Learning Relaxloss: Defending membership inference attacks without losing utility

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:24.641241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 008e5822-33f4-485f-bc20-6b9b75ed0eaa · outbound

This paper cites The pascal recognising textual entailment challenge.

On the Privacy Risk of In-context Learning The pascal recognising textual entailment challenge

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:24.629525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 71f2097a-81cb-49e7-be1f-ffbf514e5b0c · outbound

This paper cites Commonsense knowledge mining from pretrained models.

On the Privacy Risk of In-context Learning Commonsense knowledge mining from pretrained models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:24.617625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e41525d6-729a-44f5-b506-2ea2ff011591 · outbound

This paper cites The commitmentbank: Investigating projection in naturally occurring discourse.

On the Privacy Risk of In-context Learning The commitmentbank: Investigating projection in naturally occurring discourse

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:24.605998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 11e6b3c6-6b3b-4dfc-ba39-e4d71168a8a2 · outbound

This paper cites Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping.

On the Privacy Risk of In-context Learning Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:23.949596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1853b157-445c-4ec7-a959-0cd3835487d1 · outbound

This paper cites Differential privacy.

On the Privacy Risk of In-context Learning Differential privacy

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:23.954727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58e1554c-834a-4cf4-9390-fc51652cb2c3 · outbound

This paper cites Making Pre-trained Language Models Better Few-shot Learners.

On the Privacy Risk of In-context Learning Making Pre-trained Language Models Better Few-shot Learners

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:23.958488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3648a06c-ab43-46c1-8545-6543c03bd14a · outbound

This paper cites Efficient (soft) q-learning for text generation with limited good data.

On the Privacy Risk of In-context Learning Efficient (soft) q-learning for text generation with limited good data

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:24.586854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 905eb7a1-4d52-4e53-aa92-49c1b78410c9 · outbound

This paper cites Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy.

On the Privacy Risk of In-context Learning Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:23.966490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6112080b-2d9e-4092-97fc-6e36cf1884b5 · outbound

This paper cites Revisiting membership inference under realistic assumptions.

On the Privacy Risk of In-context Learning Revisiting membership inference under realistic assumptions

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:24.574561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2e502f47-ac51-4736-ab2c-07c45c54f221 · outbound

This paper cites Memguard: Defending against black-box membership inference attacks via adversarial examples.

On the Privacy Risk of In-context Learning Memguard: Defending against black-box membership inference attacks via adversarial examples

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:24.562429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 73a19a11-3a73-44f8-8275-f59e07780dda · outbound

This paper cites How can we know what language models know? Transactions of the Association for Computational Linguistics, 8: 0 423--438, 2020.

On the Privacy Risk of In-context Learning How can we know what language models know? Transactions of the Association for Computational Linguistics, 8: 0 423--438, 2020

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:23.979294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bf26c47-8efb-43bd-87b0-c3e7b60212f7 · outbound

This paper cites How BPE Affects Memorization in Transformers.

On the Privacy Risk of In-context Learning How BPE Affects Memorization in Transformers

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:23.983539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2876397-ff18-4110-927f-cda962bdfc94 · outbound

This paper cites an unresolved cited work.

On the Privacy Risk of In-context Learning Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:46:24.544119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2b607e59-8097-414b-b0f2-154f41f25d4b · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

On the Privacy Risk of In-context Learning The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:23.991621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96be70df-30c5-4141-89a2-34b1770fb67a · outbound

This paper cites Large language models can be strong differentially private learners.

On the Privacy Risk of In-context Learning Large language models can be strong differentially private learners

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:23.996072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5ea625d-bec0-416a-8986-bfe336009a0a · outbound

This paper cites What Makes Good In-Context Examples for GPT-$3$?.

On the Privacy Risk of In-context Learning What Makes Good In-Context Examples for GPT-$3$?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:24.000588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e9008cb-2de5-4ca0-be2f-4e07d8f0f15a · outbound

This paper cites P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.

On the Privacy Risk of In-context Learning P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:24.004867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daad3906-b4c3-47b2-8236-fcf1a831ea03 · outbound

This paper cites How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN.

On the Privacy Risk of In-context Learning How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:24.009199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 168f3f53-cd5a-4ea4-8407-12cb9c3f8b8a · outbound

This paper cites Memorization in NLP Fine-tuning Methods.

On the Privacy Risk of In-context Learning Memorization in NLP Fine-tuning Methods

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:24.013663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 602c47db-e27c-4a8a-9be9-17b21e35196b · outbound

This paper cites When does label smoothing help? Advances in neural information processing systems, 32, 2019.

On the Privacy Risk of In-context Learning When does label smoothing help? Advances in neural information processing systems, 32, 2019

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:24.017983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a65a4d5-e83b-4fc2-b58b-c53138e9d843 · outbound

This paper cites Membership inference attacks with token-level deduplication on korean language models.

On the Privacy Risk of In-context Learning Membership inference attacks with token-level deduplication on korean language models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:24.518072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b708cf97-488c-438b-bada-24967f809f1a · outbound

This paper cites Language Models as Knowledge Bases?.

On the Privacy Risk of In-context Learning Language Models as Knowledge Bases?

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:24.027365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f0ca163-ce22-436a-9150-3f4ba984b4be · outbound

This paper cites Learning How to Ask: Querying LMs with Mixtures of Soft Prompts.

On the Privacy Risk of In-context Learning Learning How to Ask: Querying LMs with Mixtures of Soft Prompts

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:24.031625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26401439-1bbd-4c1c-96fc-f22f4db90fc1 · outbound

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

On the Privacy Risk of In-context Learning Improving language understanding by generative pre-training

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:24.504498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5e9bbf93-37b8-4ee9-b2a9-3f5f6916a261 · outbound

This paper cites Language models are unsupervised multitask learners.

On the Privacy Risk of In-context Learning Language models are unsupervised multitask learners

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:24.041035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d939837-06d7-4f18-8e4c-2b6957711328 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

On the Privacy Risk of In-context Learning Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:24.045508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e5a8f18-940e-4bd8-b9be-2b0ec176831a · outbound

This paper cites How Many Data Points is a Prompt Worth?.

On the Privacy Risk of In-context Learning How Many Data Points is a Prompt Worth?

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:24.049711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0df8a79e-87e9-46c6-b6f9-ae465e2143c0 · outbound

This paper cites Membership inference attacks against NLP classification models.

On the Privacy Risk of In-context Learning Membership inference attacks against NLP classification models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:24.053969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9384fa18-74ef-4d6b-99be-f978315da707 · outbound

This paper cites AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts.

On the Privacy Risk of In-context Learning AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:24.058127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f004034-4a28-4eeb-9fed-8220b239004a · outbound

This paper cites Membership inference attacks against machine learning models.

On the Privacy Risk of In-context Learning Membership inference attacks against machine learning models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:24.061998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93fdec4d-10d5-4beb-a4ba-86eb706f4409 · outbound

This paper cites Recursive deep models for semantic compositionality over a sentiment treebank.

On the Privacy Risk of In-context Learning Recursive deep models for semantic compositionality over a sentiment treebank

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:24.454929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0da4a94a-be67-463d-9f15-913d165a8724 · outbound

This paper cites Auditing data provenance in text-generation models.

On the Privacy Risk of In-context Learning Auditing data provenance in text-generation models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:24.441230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 42e58574-ce1f-415c-a38d-c4430037215f · outbound

This paper cites Mitigating membership inference attacks by \ Self-Distillation \ through a novel ensemble architecture.

On the Privacy Risk of In-context Learning Mitigating membership inference attacks by \ Self-Distillation \ through a novel ensemble architecture

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:24.425119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5e67b7dc-d7c4-4f50-893c-5b9473c4f5be · outbound

This paper cites Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models.

On the Privacy Risk of In-context Learning Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:24.077161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46bb2edd-395f-429a-aa22-e8d87356d31d · outbound

This paper cites Privacy risk in machine learning: Analyzing the connection to overfitting.

On the Privacy Risk of In-context Learning Privacy risk in machine learning: Analyzing the connection to overfitting

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:24.409454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b84b4bac-225e-415b-8710-fdb260e5c2e2 · outbound

This paper cites Differentially private fine-tuning of language models.

On the Privacy Risk of In-context Learning Differentially private fine-tuning of language models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:24.085334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 708896fa-caaf-4da7-b9b5-c23ff50c7b94 · outbound

This paper cites Counterfactual Memorization in Neural Language Models.

On the Privacy Risk of In-context Learning Counterfactual Memorization in Neural Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:24.089395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 568aa4f3-b8a2-4205-b110-17b3d00466af · outbound

This paper cites Text Revealer: Private Text Reconstruction via Model Inversion Attacks against Transformers.

On the Privacy Risk of In-context Learning Text Revealer: Private Text Reconstruction via Model Inversion Attacks against Transformers

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:24.093237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecaec9c9-a8f8-44bd-a960-6e39edcd2c71 · outbound

This paper cites Revisiting few-sample bert fine-tuning.

On the Privacy Risk of In-context Learning Revisiting few-sample bert fine-tuning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:24.389273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6a96a64e-608e-47af-b9b5-8d81ac51218f · outbound

This paper cites Character-level convolutional networks for text classification.

On the Privacy Risk of In-context Learning Character-level convolutional networks for text classification

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:24.101059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51624b03-9d21-48b9-aafa-33d9dcb03437 · outbound

This paper cites Calibrate before use: Improving few-shot performance of language models.

On the Privacy Risk of In-context Learning Calibrate before use: Improving few-shot performance of language models

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:24.371007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d3b40830-8ada-4ad9-869a-d20baf0a3aff · outbound

This paper cites Factual Probing Is [MASK]: Learning vs. Learning to Recall.

On the Privacy Risk of In-context Learning Factual Probing Is [MASK]: Learning vs. Learning to Recall

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:24.109479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87704417-f603-4759-84c0-d5bba39e32d6 · outbound

This paper cites Large language models are human-level prompt engineers.

On the Privacy Risk of In-context Learning Large language models are human-level prompt engineers

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:24.113358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 2d3d9f9d-cc47-4eab-a4b5-940dcd6c28e2 · inbound

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation cites this paper.

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation On the Privacy Risk of In-context Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T19:32:34.218385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38570f64-697d-4f14-bb68-506e0dfa2e95 · inbound

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality cites this paper.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality On the Privacy Risk of In-context Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.674222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2de94a9-856d-40de-809b-5b7e4d612340 · inbound

Membership Inference Attacks on In-Context Examples in LLM-based Recommender Systems cites this paper.

Membership Inference Attacks on In-Context Examples in LLM-based Recommender Systems On the Privacy Risk of In-context Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:50.562955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 296c5fb0-745f-4e1f-b563-21f49824bf81 · inbound

Privacy Without Losing Place: A Paradigm for Private Retrieval in Spatial RAGs cites this paper.

Privacy Without Losing Place: A Paradigm for Private Retrieval in Spatial RAGs On the Privacy Risk of In-context Learning

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:21:06.778351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 751bb67d-6fde-4d20-8138-207d21e8731e · inbound

Privacy Vulnerabilities of Attention Layers in Tabular Foundation Models and Protection of High-Risk Queries cites this paper.

Privacy Vulnerabilities of Attention Layers in Tabular Foundation Models and Protection of High-Risk Queries On the Privacy Risk of In-context Learning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:50:11.154892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dfda17e8-2c87-4db9-a0e8-67376c0243ad · inbound

Probing Memorization of Tabular In-Context Learning cites this paper.

Probing Memorization of Tabular In-Context Learning On the Privacy Risk of In-context Learning

Reference 173

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T09:25:40.813344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.