Paper Citation Record · LEDGER

Membership Inference Attack against Long-Context Large Language Models

As of 20 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 2 inbound Pith citation observations for arXiv:2411.11424.

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

pith.paper-citation-record.v1
2411.11424 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:33:40.797312Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:32:34.395038Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T22:22:08.967264Z

Reference resolution

35 of 35 outbound references displayed

verified exact1
verified fuzzy11
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2583a5e7-6577-449a-b806-e527d7d5621a · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Membership Inference Attack against Long-Context Large Language Models Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T18:33:40.685635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17c644b9-54e5-4fe2-9c6a-db9a573818f6 · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

Membership Inference Attack against Long-Context Large Language Models Yi: Open Foundation Models by 01.AI

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T18:33:40.690331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49c5b4c6-3567-42c7-bcaa-7cae94bfc474 · outbound

This paper cites World Model on Million-Length Video And Language With Blockwise RingAttention.

Membership Inference Attack against Long-Context Large Language Models World Model on Million-Length Video And Language With Blockwise RingAttention

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T18:33:40.694057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2d67ecb-7c00-45d5-b32c-281ca3710235 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Membership Inference Attack against Long-Context Large Language Models Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T18:33:40.697905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc81eafd-9156-4a26-b218-1317f81b03ba · outbound

This paper cites Large language models can be easily distracted by irrelevant context,.

Membership Inference Attack against Long-Context Large Language Models Large language models can be easily distracted by irrelevant context,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T18:33:40.702118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfc6ae88-c1d9-45d7-b507-f46d6a88d728 · outbound

This paper cites Long-context LLMs Struggle with Long In-context Learning.

Membership Inference Attack against Long-Context Large Language Models Long-context LLMs Struggle with Long In-context Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T18:33:40.705220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e16837e8-0b91-4054-9a3e-972b7f5ae9e4 · outbound

This paper cites Lost in the middle: How language models use long contexts,.

Membership Inference Attack against Long-Context Large Language Models Lost in the middle: How language models use long contexts,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:33:41.106057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3d0a9065-b01f-4270-a891-9ad321b3064a · outbound

This paper cites H2o: Heavy-hitter oracle for efficient generative inference of large language models,.

Membership Inference Attack against Long-Context Large Language Models H2o: Heavy-hitter oracle for efficient generative inference of large language models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:33:41.095977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e8529df5-f120-4a02-9dc7-2ef17bf98582 · outbound

This paper cites SnapKV: LLM Knows What You are Looking for Before Generation.

Membership Inference Attack against Long-Context Large Language Models SnapKV: LLM Knows What You are Looking for Before Generation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T18:33:40.714373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f511c18c-6fd5-4b4f-8d43-f095d7c6dd26 · outbound

This paper cites Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction.

Membership Inference Attack against Long-Context Large Language Models Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T18:33:40.717224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96169d1a-c28c-4868-a25c-809d78227d44 · outbound

This paper cites Membership inference attacks against language models via neighbourhood comparison,.

Membership Inference Attack against Long-Context Large Language Models Membership inference attacks against language models via neighbourhood comparison,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:33:41.086633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d425e6eb-dfb6-43b7-bcfe-cad800dfa4e3 · outbound

This paper cites Detecting pretraining data from large language models,.

Membership Inference Attack against Long-Context Large Language Models Detecting pretraining data from large language models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:33:41.075440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f37fe73e-4d3c-462f-89b2-87b31bf5e5df · outbound

This paper cites Practical membership inference attacks against large-scale multi-modal models: A pilot study,.

Membership Inference Attack against Long-Context Large Language Models Practical membership inference attacks against large-scale multi-modal models: A pilot study,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:33:41.065629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 09086194-8d08-4f5e-b537-598850ec583a · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Membership Inference Attack against Long-Context Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T18:33:40.728761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54b6a18f-525e-4d19-b425-2a4bb838df20 · outbound

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

Membership Inference Attack against Long-Context Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T18:33:40.732008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0ab9f54-4aad-4943-adab-2f2cc6bba87a · outbound

This paper cites Dense Passage Retrieval for Open-Domain Question Answering.

Membership Inference Attack against Long-Context Large Language Models Dense Passage Retrieval for Open-Domain Question Answering

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T18:33:40.735343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c33f825d-5911-4f8d-beaf-60cd49368a8b · outbound

This paper cites Is Sparse Attention more Interpretable?.

Membership Inference Attack against Long-Context Large Language Models Is Sparse Attention more Interpretable?

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:33:40.905237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 28e4a46f-9e69-40a5-a043-8a1f2f89a575 · outbound

This paper cites LongNet: Scaling Transformers to 1,000,000,000 Tokens.

Membership Inference Attack against Long-Context Large Language Models LongNet: Scaling Transformers to 1,000,000,000 Tokens

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T18:33:40.742656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb27b572-052b-4fa8-8491-5c9824c8c20e · outbound

This paper cites Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.

Membership Inference Attack against Long-Context Large Language Models Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T18:33:40.745593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4427b648-554d-49ae-9648-5cff9eab4d78 · outbound

This paper cites LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens.

Membership Inference Attack against Long-Context Large Language Models LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T18:33:40.749018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e11bfb06-eeba-4fa3-b353-4dcce7f0a563 · outbound

This paper cites Attention is all you need,.

Membership Inference Attack against Long-Context Large Language Models Attention is all you need,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T18:33:40.752547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cfe3787-ac17-43d1-9f68-3c153b81a3ef · outbound

This paper cites Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks.

Membership Inference Attack against Long-Context Large Language Models Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T18:33:40.755299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 399279e2-bd02-483c-93b7-3f0dc37f5e5f · outbound

This paper cites Seeing is believing: Black-box membership inference attacks against retrieval augmented generation,.

Membership Inference Attack against Long-Context Large Language Models Seeing is believing: Black-box membership inference attacks against retrieval augmented generation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:33:41.049823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2b9c3a57-6ca6-4fb3-920d-40b04ebdd0f3 · outbound

This paper cites Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation.

Membership Inference Attack against Long-Context Large Language Models Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T18:33:40.761169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 081ba1d7-3d6c-4185-b72d-baefb34e873a · outbound

This paper cites Membership Inference Attacks Against In-Context Learning.

Membership Inference Attack against Long-Context Large Language Models Membership Inference Attacks Against In-Context Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T18:33:40.764821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fef563b-6f86-42b9-b6ff-53ab227e40cf · outbound

This paper cites Insights into llm long-context failures: When transformers know but don’t tell,.

Membership Inference Attack against Long-Context Large Language Models Insights into llm long-context failures: When transformers know but don’t tell,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:33:41.039284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b6a92b6a-c593-4cd2-b74d-ee7d765a9caa · outbound

This paper cites Bertscore: Evaluating text generation with bert,.

Membership Inference Attack against Long-Context Large Language Models Bertscore: Evaluating text generation with bert,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:33:41.028943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 80b3b936-b57d-4bef-8bbc-0e4a7897faf9 · outbound

This paper cites A call for clarity in reporting bleu scores,.

Membership Inference Attack against Long-Context Large Language Models A call for clarity in reporting bleu scores,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:33:41.018213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f448e06f-e38c-44f6-91c5-183127b73b77 · outbound

This paper cites LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.

Membership Inference Attack against Long-Context Large Language Models LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T18:33:40.777759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ecd9407-c427-490f-9502-51ee07c16c48 · outbound

This paper cites How long can context length of open-source llms truly promise?.

Membership Inference Attack against Long-Context Large Language Models How long can context length of open-source llms truly promise?

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:33:41.006529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ffbcda91-bd7e-41e5-8cec-a41871857364 · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality,.

Membership Inference Attack against Long-Context Large Language Models Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:33:40.996244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4272ca92-e56b-46c3-a897-63911bdfce28 · outbound

This paper cites Mistral 7B.

Membership Inference Attack against Long-Context Large Language Models Mistral 7B

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T18:33:40.786758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b84b5cf-c15c-4d8c-9340-0ccf3004f163 · outbound

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

Membership Inference Attack against Long-Context Large Language Models Gemma: Open Models Based on Gemini Research and Technology

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T18:33:40.789481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7b5402a-a543-4283-9fe7-5ecbc9f794d2 · outbound

This paper cites Membership inference attacks against machine learning models,.

Membership Inference Attack against Long-Context Large Language Models Membership inference attacks against machine learning models,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T18:33:40.792768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 980236e0-e84b-4e5a-a463-756518c25e67 · outbound

This paper cites Eliminating Position Bias of Language Models: A Mechanistic Approach.

Membership Inference Attack against Long-Context Large Language Models Eliminating Position Bias of Language Models: A Mechanistic Approach

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T18:33:40.797312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 1d2e4c6b-c279-4e5d-8eef-13d67a5f192a · inbound

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

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation Membership Inference Attack against Long-Context Large Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-09T19:32:34.395038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8da911c-564c-4981-9df4-0b195e896928 · inbound

SnapAudit: Active Auditing of Differentially Private In-Context Learning via Snapshot-Based Simulation cites this paper.

SnapAudit: Active Auditing of Differentially Private In-Context Learning via Snapshot-Based Simulation Membership Inference Attack against Long-Context Large Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:22:08.970714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.