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Paper Citation Record · LEDGER

External Data Extraction Attacks against Retrieval-Augmented Large Language Models

As of 10 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2510.02964.

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

pith.paper-citation-record.v1
2510.02964 v2

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T12:43:29.749493Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

71 of 71 outbound references displayed

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  • verified fuzzy0
  • unresolved70
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  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3f5ab832-1e06-436f-a919-bf10f4012b80 · outbound

This paper cites Finetuned language models are zero-shot learners,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Finetuned language models are zero-shot learners,

Reference 1

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source=pdf_text observed=2026-08-04T12:43:21.134749Z digest=sha256:bde09a0e6d0dbedbbcf512bb41f45512ee565c88e99d6e0c369562777d86c962

Observation 3e4c0719-755c-4f8b-b1b4-d2dd8a631b39 · outbound

This paper cites Codegen: An open large language model for code with multi-turn program synthesis,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Codegen: An open large language model for code with multi-turn program synthesis,

Reference 2

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source=pdf_text observed=2026-08-04T12:43:21.364749Z digest=sha256:ee3572cd37a9ea506ec42231165c40021e16c64eea273eff0646bdfb3e77237f

Observation 3544b327-da4e-404d-8c78-70226e690f02 · outbound

This paper cites Prompting large language model for machine translation: A case study,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Prompting large language model for machine translation: A case study,

Reference 3

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source=pdf_text observed=2026-08-04T12:43:21.494748Z digest=sha256:ff76df661b8981bfb8b89ffb902767a378bd98e90e81ca18366b1a9fc10ad74c

Observation e0e193e2-2c39-4491-a53c-90744e2f3f40 · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 4

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source=pdf_text observed=2026-08-04T12:43:21.695445Z digest=sha256:d6b7a7243556ce908083354e5a47fcc73756ad4a2aa97fd05a469c01baa35ebd

Observation 436ebb5e-e2eb-4125-9794-78cd851ac8a0 · outbound

This paper cites A Survey of Large Language Models.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models A Survey of Large Language Models

Reference 5

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source=pdf_text observed=2026-08-04T12:43:21.855466Z digest=sha256:aa1b75aaa16e4a3f5741686d6ca728d06306ce29345b88beee28fcee2759661a

Observation 629b91a7-cf0e-4b6e-8c9b-4f055347f735 · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Retrieval- augmented generation for knowledge-intensive nlp tasks,

Reference 6

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source=pdf_text observed=2026-08-04T12:43:22.010549Z digest=sha256:e26a19d4f3423493d1b54bf2a432210c49358dcdb68bab39e708ac686a839e94

Observation 22681197-3b52-4232-a939-18ba1d26fd8b · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 7

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source=pdf_text observed=2026-08-04T12:43:22.154756Z digest=sha256:c4df53d856f5b4b5e27b7cb1ba80078bbce9201a727702114862211112eb8667

Observation 37239b79-be9d-4f83-88ce-877aa5620b4f · outbound

This paper cites A survey on rag meeting llms: Towards retrieval-augmented large language models,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models A survey on rag meeting llms: Towards retrieval-augmented large language models,

Reference 8

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source=pdf_text observed=2026-08-04T12:43:22.264746Z digest=sha256:225ffde443cc62235f2c06d8d7c54cc658a41c4c25ed9a40e0d27da543097ad0

Observation 22b5f79a-0fa0-416c-b2ee-461c6976ff30 · outbound

This paper cites Develop secure, reliable medical apps with rag and nvidia nemo guardrails,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Develop secure, reliable medical apps with rag and nvidia nemo guardrails,

Reference 9

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source=pdf_text observed=2026-08-04T12:43:22.374742Z digest=sha256:56deed5c0a72379f8c40f0093ffbe97db49117c4e1d8cb4a6b4fb060e6e19ed4

Observation 785d4106-ae99-416b-a680-6c10d38056c2 · outbound

This paper cites Harnessing rag in healthcare: Use-cases, impact, & solutions,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Harnessing rag in healthcare: Use-cases, impact, & solutions,

Reference 10

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source=pdf_text observed=2026-08-04T12:43:22.474743Z digest=sha256:aa09c187cc65162087fa7b29faf50b63fd9fdb4a830df8e4dc1ee5a3c47166bc

Observation 403bc181-154a-4dc8-991d-dc10af5ed7bb · outbound

This paper cites Ai in finance: The promise and risks of rag,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Ai in finance: The promise and risks of rag,

Reference 11

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source=pdf_text observed=2026-08-04T12:43:22.564746Z digest=sha256:f4c3f719b613b8ccb390f26856fb4fa0d71e91bce5c250d58cb6c68fcdd452ee

Observation 1dd08517-40f7-4ec6-bb85-16351fb0aa03 · outbound

This paper cites Leveraging retrieval-augmented generation (rag) in banking: A new era of finance transformation,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Leveraging retrieval-augmented generation (rag) in banking: A new era of finance transformation,

Reference 12

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source=pdf_text observed=2026-08-04T12:43:22.694740Z digest=sha256:2a988f6747f3b1ad233dfa15ba0331218bfc482af559245c0bffaea7599e1c2f

Observation 0167e090-3b20-4b2c-a81d-aa32a797febe · outbound

This paper cites watsonx assistant,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models watsonx assistant,

Reference 13

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source=pdf_text observed=2026-08-04T12:43:22.784805Z digest=sha256:180b538eb028d269b47c6f83f81609ad845e1001c3b494e0544990e071fe3cb2

Observation f9898d36-626f-48e5-8fd2-df70fd759621 · outbound

This paper cites Cpr: Retrieval augmented generation for copyright protection,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Cpr: Retrieval augmented generation for copyright protection,

Reference 14

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source=pdf_text observed=2026-08-04T12:43:22.944824Z digest=sha256:bcc0b57f29f9196c89f264b25ffb26cafc47a540ce49d13ed9dd657bb4b01763

Observation f687ac63-bcdd-4f18-a7eb-9f764e81d232 · outbound

This paper cites Rethinking Data Protection in the (Generative) Artificial Intelligence Era.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Rethinking Data Protection in the (Generative) Artificial Intelligence Era

Reference 15

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source=pdf_text observed=2026-08-04T12:43:23.151874Z digest=sha256:6e92cd7d1a334d597f2298a916e883cf57919d1f267c1227e6ffc41712747829

Observation c25ef379-8565-4e24-a1e0-ce957d36ad05 · outbound

This paper cites Databench: Evaluating dataset auditing in deep learning from an adversarial perspective,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Databench: Evaluating dataset auditing in deep learning from an adversarial perspective,

Reference 16

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source=pdf_text observed=2026-08-04T12:43:23.285344Z digest=sha256:4d5a4b4f226ab2c040b80dc4238cf2f6740f60f026d44587a9f5de639890bb67

Observation fcc84e8d-5d9c-460c-adbf-a0f80a99acf9 · outbound

This paper cites The good and the bad: Exploring privacy issues in retrieval-augmented generation (RAG),.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models The good and the bad: Exploring privacy issues in retrieval-augmented generation (RAG),

Reference 17

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source=pdf_text observed=2026-08-04T12:43:23.469731Z digest=sha256:53e587b7b1c084afa49458b65a0ae05e7349d3b1b0ed4ae9f6d2a1054cb01d53

Observation dd657183-4193-4e47-a221-8e3409c4ca32 · outbound

This paper cites Follow my instruction and spill the beans: Scalable data extraction from retrieval- augmented generation systems,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Follow my instruction and spill the beans: Scalable data extraction from retrieval- augmented generation systems,

Reference 18

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source=pdf_text observed=2026-08-04T12:43:23.687416Z digest=sha256:c96853d55b1439fe38917ec8c343f39b6f6ef154dcb572efb9a3a224de432240

Observation f9b205d6-f8d7-4550-b4b6-713fc5338b5e · outbound

This paper cites Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking

Reference 19

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source=pdf_text observed=2026-08-04T12:43:23.823124Z digest=sha256:93c39071e43753894c71f87a363a8469317cd79fe00182a557916b34e8edd654

Observation 556c5bd7-9954-4180-a75d-f3d0eebbdb35 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 20

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source=pdf_text observed=2026-08-04T12:43:23.983318Z digest=sha256:7748b91d521d186944ed7034fd85a8c3e54417ca18d00ade928cf855020885bf

Observation 2103647b-a339-4d65-8204-a025cd45dec8 · outbound

This paper cites Autodan: Generating stealthy jailbreak prompts on aligned large language models,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Autodan: Generating stealthy jailbreak prompts on aligned large language models,

Reference 21

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source=pdf_text observed=2026-08-04T12:43:24.035130Z digest=sha256:8b6a49f155d0cdd117786428d7d9b2a69a79011186f92d7d7cbdf03c2acf70bc

Observation 933ecd44-e3d2-405e-b37f-97edfc1529d6 · outbound

This paper cites {LLM-Fuzzer}: Scaling assessment of large language model jailbreaks,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models {LLM-Fuzzer}: Scaling assessment of large language model jailbreaks,

Reference 22

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source=pdf_text observed=2026-08-04T12:43:24.120511Z digest=sha256:077559cb4a1605b6af61cf966790c92185e9997a40fc35815d3b1450a74efc48

Observation e748876b-7704-4500-9e35-1b94a9c47289 · outbound

This paper cites Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks

Reference 23

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source=pdf_text observed=2026-08-04T12:43:24.174739Z digest=sha256:7a3b789adcb3ff5d61f25b1ce8d8312cc416c76cc216fa1786cde87b3930a257

Observation 02373d65-b4a7-403e-8dae-3755fdb32436 · outbound

This paper cites Large language models as optimizers,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Large language models as optimizers,

Reference 24

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source=pdf_text observed=2026-08-04T12:43:24.252540Z digest=sha256:815e57dcdafb89ff58201cea1c95dbae166824f3f11ff547543c6ac0e6b39800

Observation d2cdee29-f64a-495e-a472-c91f4a4bc05c · outbound

This paper cites When is.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models When is

Reference 25

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source=pdf_text observed=2026-08-04T12:43:24.374743Z digest=sha256:e97090b7c2040e22f4b227214b75dacee38fbb689c5d219b3528a2840bcedd80

Observation 4708e2bc-8df9-4414-bade-5b7e1c4aa5db · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 26

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source=pdf_text observed=2026-08-04T12:43:24.508888Z digest=sha256:31818a3737a9c3f641fd2e8d8da9f9e83eee4505f8d1a7bde078e4281c2a10c7

Observation 449f9fc6-0434-4c61-9c43-b8117e314b98 · outbound

This paper cites SimCSE: Simple Contrastive Learning of Sentence Embeddings.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models SimCSE: Simple Contrastive Learning of Sentence Embeddings

Reference 27

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source=pdf_text observed=2026-08-04T12:43:24.633963Z digest=sha256:06ffa164c10a6d858b272c1e9d3d586adc8d44dde72347dba2ea28508f3962ef

Observation b1a97668-23ef-4fe4-bb52-20e3a61e2dd8 · outbound

This paper cites Feedback-Guided Extraction of Knowledge Base from Retrieval-Augmented LLM Applications.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Feedback-Guided Extraction of Knowledge Base from Retrieval-Augmented LLM Applications

Reference 28

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source=pdf_text observed=2026-08-04T12:43:24.684491Z digest=sha256:472b5cb6e4a3c194a06362e9e973531a668e143b259a8716523d5dc2be0b640d

Observation a296665b-79ff-4778-a632-bd05d209e836 · outbound

This paper cites A neural probabilistic language model,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models A neural probabilistic language model,

Reference 29

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source=pdf_text observed=2026-08-04T12:43:24.774373Z digest=sha256:54d24067ba29bdec767fcf50d5070eeb7c97c9d7522a48bb7ed6378aa1c393b1

Observation 63738f3e-5c11-4f19-8526-6b2641bc90ce · outbound

This paper cites Recurrent neural network based language model.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Recurrent neural network based language model

Reference 30

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source=pdf_text observed=2026-08-04T12:43:24.857526Z digest=sha256:27702fa6ee50497bd863a4682c30f0ec4cbc48c613384a0d139a36e49bd2195b

Observation 8dcc75be-3cfb-4df7-9bbf-57eaed726465 · outbound

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

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Improving language understanding by generative pre-training. openai,

Reference 31

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source=pdf_text observed=2026-08-04T12:43:24.984732Z digest=sha256:cd952cdf729228ac26640c5782f98f93c90aa5ba09b32811b6cd8e0b7969716f

Observation 0c3fa1a0-8867-4953-8f9b-beed3f4b9916 · outbound

This paper cites GPT-4 Technical Report.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models GPT-4 Technical Report

Reference 32

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source=pdf_text observed=2026-08-04T12:43:25.146662Z digest=sha256:ee3b5e754320d0d600f94031cd9d5f06c17127ac0f72d48430b9bed053dcd4fa

Observation e61c1c95-656d-49ca-97d1-47e2a4037789 · outbound

This paper cites Claude 3.7 sonnet and claude code,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Claude 3.7 sonnet and claude code,

Reference 33

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source=pdf_text observed=2026-08-04T12:43:25.295004Z digest=sha256:7856b58d32b1753086c13bf07e6c8d0f5dc94e9bd540f319c4161fb33b5e4d01

Observation b1f49b70-c748-4e30-94a7-68b1ecbe55fb · outbound

This paper cites Pleak: Prompt leaking attacks against large language model applications,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Pleak: Prompt leaking attacks against large language model applications,

Reference 34

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source=pdf_text observed=2026-08-04T12:43:25.415620Z digest=sha256:8b577444aba10e53082506e27a5d5cd7732b411a17b5ad72a224093ab647464c

Observation 04e11eb9-73a7-4289-a28d-72b87aec8176 · outbound

This paper cites Covid-qa: A question answering dataset for covid-19,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Covid-qa: A question answering dataset for covid-19,

Reference 35

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source=pdf_text observed=2026-08-04T12:43:25.563372Z digest=sha256:f341b42e397fff49310ad43b98101f5e609553f409e036b22b86a833259f8db3

Observation 843200f4-c649-4b73-95fa-c0f980cd7629 · outbound

This paper cites LLMMaps -- A Visual Metaphor for Stratified Evaluation of Large Language Models.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models LLMMaps -- A Visual Metaphor for Stratified Evaluation of Large Language Models

Reference 36

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source=pdf_text observed=2026-08-04T12:43:25.651129Z digest=sha256:bb5d80512603a3b383d0628eb7c452b08954643dde4dfa920c911f42e404d128

Observation a453bf6c-a421-4e49-8cce-6a3a51fd57e3 · outbound

This paper cites A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models

Reference 37

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source=pdf_text observed=2026-08-04T12:43:25.729556Z digest=sha256:2f265499a551deddfec61353d966499df12b5a5be3ee00b3d808ffc3124baebc

Observation 66c91e53-8b48-4093-b683-e27eb9b7f338 · outbound

This paper cites Survey of hallucination in natural language generation,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Survey of hallucination in natural language generation,

Reference 38

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source=pdf_text observed=2026-08-04T12:43:25.817150Z digest=sha256:c4fa6ca959a14f32ba3912cb0e5370c65e4c9442791e8085cba6b644163b8f13

Observation 99994344-ae1f-4fb7-97b7-baeb945a8965 · outbound

This paper cites Agentpoison: Red- teaming llm agents via poisoning memory or knowledge bases,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Agentpoison: Red- teaming llm agents via poisoning memory or knowledge bases,

Reference 39

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source=pdf_text observed=2026-08-04T12:43:25.947500Z digest=sha256:e8586736b5b55e343cb732a669c07dc85001b3bc73a40b39d1da6b3bb3ff333c

Observation 9f9b83f0-02aa-4ede-815f-00d2e3089f29 · outbound

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

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation

Reference 40

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source=pdf_text observed=2026-08-04T12:43:26.013817Z digest=sha256:6fb7a8ef85f274f2587c126dbf63ea232d61985d078161575fabd0c3d33eac19

Observation 18f01f0d-a2e3-4327-b619-fe96eb09dcfc · outbound

This paper cites Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented Generation.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented Generation

Reference 41

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source=pdf_text observed=2026-08-04T12:43:26.148453Z digest=sha256:64e98c82d176df54c10912d3586635943279440c7adf46728db91b494187cb0a

Observation 0bd88ba2-6fe0-44b6-96bf-3105033b7821 · outbound

This paper cites Extracting training data from large language models,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Extracting training data from large language models,

Reference 42

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source=pdf_text observed=2026-08-04T12:43:26.218891Z digest=sha256:e72fb7e1057dd64d4073b1b4a939d749dd7ce50f920326a86ecacc005af504eb

Observation 950a7497-8c4d-484f-b648-71ad933d1022 · outbound

This paper cites Truvrf: Towards triple-granularity verification on machine unlearning,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Truvrf: Towards triple-granularity verification on machine unlearning,

Reference 43

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source=pdf_text observed=2026-08-04T12:43:26.296149Z digest=sha256:2d35b5c02b622410dbab880cb1890324c9b54570bad68941deceef66b2cc7f5e

Observation d2b9d61f-a0c0-4f22-835c-2c64ba42b3de · outbound

This paper cites Hardening llm fine-tuning: From differentially private data selection to trustworthy model quantization,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Hardening llm fine-tuning: From differentially private data selection to trustworthy model quantization,

Reference 44

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source=pdf_text observed=2026-08-04T12:43:26.448183Z digest=sha256:7880bd715e85840917226409b333ff620c099e5dd0b9ed951a7ce2324e5fa806

Observation 33b906d7-05a8-45be-80b5-4ccb37be5eaa · outbound

This paper cites Membership inference attacks against in-context learning,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Membership inference attacks against in-context learning,

Reference 45

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source=pdf_text observed=2026-08-04T12:43:26.604749Z digest=sha256:f0cc37270cf1911a0cc101ddd742f00e4add3d61f6e774ca11b40dd2784edd90

Observation fcf32eb5-6fab-4d3e-b06c-d5824874b98d · outbound

This paper cites SILO language models: Isolating legal risk in a nonparametric datastore,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models SILO language models: Isolating legal risk in a nonparametric datastore,

Reference 46

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source=pdf_text observed=2026-08-04T12:43:26.743633Z digest=sha256:39c6087ce6da8c95e04232ff17f3ef57938752ceaaeb7e6796082d9f527224b1

Observation 4fa54e73-59eb-4c0d-b7c7-8c1b24aa70c5 · outbound

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

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Membership inference attacks against machine learning models,

Reference 47

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source=pdf_text observed=2026-08-04T12:43:26.853580Z digest=sha256:0af2c16a5a3bea730edde862c8209c32014dcc77580dc92fa22307aa77b03c2e

Observation 409401cb-3ea1-4295-aedb-75f2f9848ac2 · outbound

This paper cites Rethinking membership inference attacks against transfer learning,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Rethinking membership inference attacks against transfer learning,

Reference 48

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source=pdf_text observed=2026-08-04T12:43:26.917023Z digest=sha256:ee81adb301bf1825a60a5d826ae8f8ef10a3b1c90e457acbd78dba3b48b7dcda

Observation 87d04ca1-b8ae-45a4-90d1-dedb591209d7 · outbound

This paper cites Privacy implications of retrieval-based language models,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Privacy implications of retrieval-based language models,

Reference 49

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source=pdf_text observed=2026-08-04T12:43:27.016380Z digest=sha256:38217548a5d5f1074d34a6459dabe6a8d35241672be3c77d883000793d0745d1

Observation eba2bf5b-114e-4265-b820-5cc9c5d410f3 · outbound

This paper cites Generalization through memorization: Nearest neighbor language mod- els,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Generalization through memorization: Nearest neighbor language mod- els,

Reference 50

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source=pdf_text observed=2026-08-04T12:43:27.073021Z digest=sha256:7153ecdf0d6c51f17921e9150cb94494c995f3badb8352a2612821b7cd5561e0

Observation 11481344-d0db-4b0b-9b91-ec934257b890 · outbound

This paper cites A normalized levenshtein distance metric,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models A normalized levenshtein distance metric,

Reference 51

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source=pdf_text observed=2026-08-04T12:43:27.183775Z digest=sha256:58f3c327b09a0db897552821cd75ea0b16d9fa255b2738e333aa0169a87fe35c

Observation 0244f11c-b214-4bda-950f-ffada7a879a2 · outbound

This paper cites UPAM: Unified prompt attack in text-to- image generation models against both textual filters and visual checkers,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models UPAM: Unified prompt attack in text-to- image generation models against both textual filters and visual checkers,

Reference 52

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source=pdf_text observed=2026-08-04T12:43:27.287482Z digest=sha256:db853d21e7a78cdd6b40157848de2064f8a969aff5e3f4567b95bd17a604ee9d

Observation 5133dfc0-38d2-4086-90ea-e2815c135f5c · outbound

This paper cites Masterkey: Automated jailbreaking of large language model chatbots,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Masterkey: Automated jailbreaking of large language model chatbots,

Reference 53

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source=pdf_text observed=2026-08-04T12:43:27.416550Z digest=sha256:1318111f0b7fa18fa325bd83bc73857e14efe2321554cae764a86ee021bce428

Observation cd997acc-cb15-4de1-9f4e-b89a204ded56 · outbound

This paper cites Baseline Defenses for Adversarial Attacks Against Aligned Language Models.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Baseline Defenses for Adversarial Attacks Against Aligned Language Models

Reference 54

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source=pdf_text observed=2026-08-04T12:43:27.535942Z digest=sha256:593a16d9febb937a7cb2554a3414d96903c163bd221cc4ce2becad2dbe55b12e

Observation ff93f0e6-ca25-4e2c-b017-94ffe332f9f3 · outbound

This paper cites PAPILLON: Efficient and Stealthy Fuzz Testing-Powered Jailbreaks for LLMs.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models PAPILLON: Efficient and Stealthy Fuzz Testing-Powered Jailbreaks for LLMs

Reference 55

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source=pdf_text observed=2026-08-04T12:43:27.630419Z digest=sha256:cb6a13c9d953c674d8cae82b317ce82a45cfd0cce58b3602f4043e2433873603

Observation fcb514ee-42ec-4225-8c66-28f53162e473 · outbound

This paper cites Curriculum learning,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Curriculum learning,

Reference 56

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source=pdf_text observed=2026-08-04T12:43:27.791640Z digest=sha256:b2e18fac795c86627815e20da4d24036bd3bc92ca2733fb84c943e7f19be61f9

Observation 0da80684-d087-407c-9502-44952c92e75d · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Gemini: A Family of Highly Capable Multimodal Models

Reference 57

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source=pdf_text observed=2026-08-04T12:43:27.884250Z digest=sha256:aa3989714706e11be5a0ac3f719ae30284bce925750893517628d40f83ca3e84

Observation 8f0f6b98-91d5-4dfe-8e44-251d50fa23f5 · outbound

This paper cites DeepSeek-V3 Technical Report.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models DeepSeek-V3 Technical Report

Reference 58

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source=pdf_text observed=2026-08-04T12:43:27.961393Z digest=sha256:2c29dce12232bb6d720c8c109422cb84ba79f9d781b5077c715231aac469d14e

Observation 9a12d334-691f-4319-a1c0-d7aa854f99dd · outbound

This paper cites The enron corpus: A new dataset for email classification research,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models The enron corpus: A new dataset for email classification research,

Reference 59

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source=pdf_text observed=2026-08-04T12:43:28.059638Z digest=sha256:f1b1f3d6d9b58f92182f60806f9925e268f585d95fe84f33d3fb3acc301b1e1a

Observation bf3742dc-60f0-4081-be9d-ea074c143239 · outbound

This paper cites Chatdoctor: A medical chat model fine-tuned on a large language model meta-ai (llama) using medical domain knowledge,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Chatdoctor: A medical chat model fine-tuned on a large language model meta-ai (llama) using medical domain knowledge,

Reference 60

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source=pdf_text observed=2026-08-04T12:43:28.260882Z digest=sha256:0c72ef15d99bad0542223ab7fddb5a649bab8982ee16ee14eb025e3a8310eacf

Observation ff94fc88-2a4c-4291-944c-976ef0faab7e · outbound

This paper cites Scalable Extraction of Training Data from (Production) Language Models.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Scalable Extraction of Training Data from (Production) Language Models

Reference 61

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source=pdf_text observed=2026-08-04T12:43:28.399081Z digest=sha256:63a61f079f5c58b9b71473dad7574784ea89b6374a799c04cf0fa68088f57e70

Observation 74dfbb5d-1d9d-4bcb-a363-ffa376d12da0 · outbound

This paper cites C-pack: Packaged resources to advance general chinese embedding,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models C-pack: Packaged resources to advance general chinese embedding,

Reference 62

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source=pdf_text observed=2026-08-04T12:43:28.546496Z digest=sha256:8596fcc33f53fe832fdbeb0fbdbbefbed879ca709bade0beece6eb518a81eaf9

Observation 35f23645-ecd0-4595-8fa6-d8f3e4e22d87 · outbound

This paper cites Open source strikes bread - new fluffy embeddings model,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Open source strikes bread - new fluffy embeddings model,

Reference 63

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source=pdf_text observed=2026-08-04T12:43:28.627639Z digest=sha256:6f9e64a1c779d05e9e0076fcb59b8ec78087c7776e266358cb6782588911d2e0

Observation 2ec3fc7f-ca9c-445d-a5e3-fc08f4c4555a · outbound

This paper cites How johnny can persuade LLMs to jailbreak them: Rethinking persuasion to challenge AI safety by humanizing LLMs,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models How johnny can persuade LLMs to jailbreak them: Rethinking persuasion to challenge AI safety by humanizing LLMs,

Reference 64

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source=pdf_text observed=2026-08-04T12:43:28.795383Z digest=sha256:d023653f516444c82e1d2871ccacbb0bb167c7c4c9d5ac24a577d9567e5adf53

Observation 9f21d3d1-4169-4bb5-984c-ce80ca6caa95 · outbound

This paper cites Jailbroken: How does llm safety training fail?.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Jailbroken: How does llm safety training fail?

Reference 65

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source=pdf_text observed=2026-08-04T12:43:28.932440Z digest=sha256:961bbae3bda3ba8b1e78733a2e479060143b4d154bfb1919dbf287fb8275db91

Observation 3fee9edb-3bf8-4376-96cf-7448c30394ac · outbound

This paper cites AnglE-optimized Text Embeddings.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models AnglE-optimized Text Embeddings

Reference 66

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source=pdf_text observed=2026-08-04T12:43:29.129981Z digest=sha256:438dc556220386565d241090162cf83527c1d06a71c2ef94e5919a8d37f2fa84

Observation 4ff32a8d-a7a3-4e4f-822f-06565336fb84 · outbound

This paper cites Optimizing llms for accuracy,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Optimizing llms for accuracy,

Reference 67

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source=pdf_text observed=2026-08-04T12:43:29.250912Z digest=sha256:5a7b7d3781d4997cb715d5f0bde266202ec1c35c47b7f0a11668787042126f10

Observation 54bf8c42-2ddd-4a12-9c54-557b939e1ad6 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Rouge: A package for automatic evaluation of summaries,

Reference 68

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no resolver link, observed 2026-08-04T12:43:29.315653Z

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source=pdf_text observed=2026-08-04T12:43:29.315653Z digest=sha256:00637c0f76689fad2fcbe6802fef2177b76e3ed73c9484d18d7bbfa1a4e0b7e8

Observation 626509e8-a3d0-43b3-9c4e-e418ec389d4a · outbound

This paper cites Datasentinel: A game- theoretic detection of prompt injection attacks,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Datasentinel: A game- theoretic detection of prompt injection attacks,

Reference 69

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source=pdf_text observed=2026-08-04T12:43:29.463885Z digest=sha256:52bad78b1133846a99e35554ac478e8e720d1e9c24f89c6b3737be9a7fb79c0e

Observation 85cce81f-7ad1-4c73-b4ee-34da079ce40c · outbound

This paper cites Qwen2.5: A party of foundation models,.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Qwen2.5: A party of foundation models,

Reference 70

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source=pdf_text observed=2026-08-04T12:43:29.582539Z digest=sha256:2b75f61e4d466425ca379baa78066e478eb97347bb371010e9c64eb3101e864f

Observation 5a3ec5f6-5172-436a-99ce-98a4e4e19f0f · outbound

This paper cites Does safety training of llms generalize to semantically related natural prompts?.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Does safety training of llms generalize to semantically related natural prompts?

Reference 71

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no resolver link, observed 2026-08-04T12:43:29.749493Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T12:43:29.749493Z digest=sha256:f5c526ee9f582947bd3790ae93e2300735e0ec3457c2fca1062e2db391164470

Pith citing papers

No inbound Pith citation observations are available.