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Paper Citation Record · LEDGER

External Data Extraction Attacks against Retrieval-Augmented Large Language Models

As of 17 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 2026-08-17T06:30:58.91139+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:e2e721be3ff141e2a754d78f3cb7a2a6a74e3e97ac248a452057fc8070d98cd5

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=sha256:48b1ff40b870f9f6e2a9dfe840c80b58ef2fe0c15c739e5cf87e569a1dfbb826

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=sha256:12442e4bab54ae266d82c3e59c74e240d2e83ba549cb01bdcfedc6c5213e5f8f

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=sha256:31cb2515488ec33b08b428b756cd23c5218caf8d4e51f43ab44d9ace4407d357

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=sha256:6fa9d434c9b665c5f5b3245b25fb55abc1554c8d2754df6e515f78a9bb56c9a5

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:a7072c8a7a230a9bfec46dd70c707c7a6f389d72173c7ac19aedbd3e86ee1afe

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:b398a6aa6bfdbbb1348e4a5f0ae90f4c8a6f4ae7d4cb8b907ff87fdb4b5cfe33

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=sha256:15415a836489d062d06b7f8c3383932c889d7cf82533be1f1f91709f9f5dff21

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=sha256:6407da10051e3924bbaabdbb1f11d6b0535dc837a188fc38cf67f01c37b6737b

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=sha256:6fb68718297dc6f916d22e527148a0ef3802bcf7e2083dc22f81ea0b66678c1a

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=sha256:4546a8f6c670931e1bc730c60f7cceeebf44263fcb7ac80de0193e4bd07a8a06

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:e35f53c53763dc678e12911a7fe283c0e912fb36654fd8db0c7822d626131b41

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:cbedc8c5fcf65b0f666a2b8598649e9ee9677247892a1f7b596bc469d1954209

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=sha256:63833239f227edd9717e96e0480caa047430f1bc4fb0da4b6854f8571902b861

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=sha256:341de902edd46fc6c3cef04893c48aa19b16d361237f3ff235b4c3449d65e669

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:f4bda4d67fc443c42a6cc0b9863f430183d268c7210f67df773e371a6c4f3884

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=sha256:8a41cf3fad8fb92913aa4beb4ee5f903da7737dbfd485f95dac145c31a6e0188

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=sha256:02add46779602263aa0516703c0047ccd7122b951ce68b5cbb716ba913835805

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=sha256:0ffe9f4ab077986bea15236ba241e10793be7ad15326b96c0185556b76c005b1

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:ab22220c876e5967183ad4dd59834196fa380085a1527f0cb79c0ded513ad07a

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:d3168c8d0b62310e3fde5b57d2ca6ba3e776e063b210a8c73488add76f9cbe99

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:ae329811fb02b5df529d834fb95dba99b7c87758b0576b428dd986aace333c95

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=sha256:70be9fe438ba2a98b3c9cfedffdc06265d7417bf60ee87d1a56a71e561ca35c8

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=sha256:32bc8ba636811026f253e1050623b4bf07a57cb9c1091dc82c02c61f72bc2001

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=sha256:93ac53495b87d934e82e4bd8b75f3dd0f2a0fda570563d223ce012fc4eaaa43e

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:b65f7f67fa1b1a66f9a18bd84977e627bf43202314ee8a3cffaaf89cc48c4a7f

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:f676e485477ea06ee57739f41ee215e356dd35216d03eac2a9075573c4c28a41

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=sha256:3bf939e14db62627a9b8fae3f9dddb94b12176a52c7d3970c805c2b1ee00d9c6

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=sha256:77daa81f2941103ff55040fc0e79f7ebcc96da43c12b667f1f9100c2b71214d4

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=sha256:0ebd0983eeb04ee42a4bd5086c31dfa20c84542eecc0ddd7dbe72f6e8e440703

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=sha256:1955d7f28aa93ac953d5b0675d0277017afb01829619498588231140a9aa73db

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=sha256:1b6fe7f225a2e82399060f7ee73b0300b7569ad5ed9e96c8b3e668ced66f0af2

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=sha256:5c36d0155208510d09055f4dbcd7cac5e1b2b719c6ef8135880410f2246d8de8

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=sha256:10272773d98319fa5e777d5f18bef8d9e29b337e3ae83d7826031c902bc93901

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=sha256:1d6fa771331668d3d2376def82e6d7e044ab141c4f31e6a7c18c7c1ac6141e7c

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=sha256:655614167afd9b1c75f77b906472e064558ef7ada6de3363aaa7893098176074

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=sha256:920a4fa17bbacaff0aa66d3758f8373587ea12f7acfc4055ebf6b7ede44fc46f

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=sha256:819e12e58792bb57a48f3a71299eb034115abf25f13269ee9afa909518db18a9

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:bbdb3491beb9c94fb2dca70a74dbd76798f161c28f4b76309bbcf7e874e59154

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:db50bc0526058423d18f9d47b86871f707c5fea2b1024d532fcc8e36695ec486

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=sha256:41fd93a1b303863d10895a26f13ad2accfb447831188ed7a87371e4c67df3b5f

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=sha256:21fecce2cbb8c9d5acacf380bff6c1a820cf240cfc53b6962405b486d8ca0b08

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=sha256:133ffdeb50b8fae2fcb5509bb946b5b3161517cdc7fd6c5e9b8efa03a813b050

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:f9002abd5b63b21715771e941d56868596c4bed99a73be042ea89d5f771fc431

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:c0f124e1424f79f643c4e3d68bb4a0e6a0dbc7ec014d423656b08bc18dc5296f

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=sha256:4c82c17c662a63f4da338c6be6c27e46475c84d50d7c2d7cfb40873453f5fe5b

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=sha256:0d6f39daa85b6a20bc8cfa521ee00638accf796a71ba90d8cec8b4b7c0b438f5

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=sha256:178e1a85a9e33d9120f9b4b414e880a793d1bd47ddf5a95d1f87be9477e405f8

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=sha256:0e1109626282a67750e3d5058887c604240c0ea38335643e399a3095aead9b81

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=sha256:2bb5da031f3b4e56feef7ca3fb76b5ad98dd7b7425b8f43bd4843bfb2d4a6d7e

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:d3701b84d3d417a8f77d59b05fdd6313ae989cd334e298777fb515ca8fddd975

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:bfa4577bf43f084bcf293105248177880ccf8d831aba195834012948b72dbc38

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=sha256:6b76c93a45873756216856fdf3cf01dbe886934969d80fc9fbf7727bdc5a73b5

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=sha256:8526f36e71460503abab21638b81ea2967f42b9b4ee868babcf219f1220e5682

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:eb92f8a0b8ff681cd005be462e867d60440090db7f6e20e5cbc37c792bea04e2

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:b869d513de380dca7ec50bb733eea6aaa4cfe1269a74b5b6343781bbebed0565

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:d79916448d8ea544a51f0da9dc286c283a76ea884801890e27330fb5faf0ba81

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=sha256:6150410f7cb9ee185d4fece550675b622c49a534b438a11855baee094a7ce9f4

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=sha256:7d40aabe188498d7f4ae83a50388e17687afaf5bf9c6d78cab341bc9324649c5

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:a0943ae56dc9d75f24cd6ccce9d82cb0764f08146b366f53ebf8db16c1f6ebf8

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=sha256:8021d39a0b637802cf68d1f759a8e4b4dcaeebe9bb53b58663d7c063bb93ca3e

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:d335d886e17491a86c9087b8fdc6b5a365989820baca2dff7c080752ca69fe1b

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=sha256:43f534ce4d5e90b2069b170e56c38caf1c1629867fc4500760b5df9756584e23

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=sha256:9c2362e1b990cc591ce07800990a851dfaa620fb8b9355511ca1f10a4431402c

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:dba02ce9e80ce1380df3313007bcae2664e97eaf089050ccba806bb618c7075c

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=sha256:7d31382b278633fe744626d158d206b6728c0d116cdab0a00722b5d728e4a94e

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=sha256:2b0ec1c4314a287eb9c317022b653241b2063ccc1f1119b0902efc8c72778f9c

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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source=pdf_text observed=2026-08-04T12:43:29.315653Z digest=sha256:e03fd473a83e82f0366c91de1482582afd30d17dc6f8e9e8bc837bb674da00fd

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=sha256:900615479a8356657adc23dfb27ff3585dc31bc1d99bf0873f4d7368f591e14c

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-reported events for the cited work

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source=pdf_text observed=2026-08-04T12:43:29.582539Z digest=sha256:ec5a54ea1dc0e87eaf2122b51fbc0e6a4333ef6f7c547afb2fc0f20ab4ed5a72

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:da19e38da959ac889f12d3b65653902ba6d39ce918a54f0e71feefc6d15984da

Pith citing papers

No inbound Pith citation observations are available.