Paper Citation Record · LEDGER

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models

As of 9 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 9 inbound Pith citation observations for arXiv:2505.19864.

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

pith.paper-citation-record.v1
2505.19864 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:10:30.637151Z

measured 57 of 57 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:08:57.754979Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:28:59.129123Z

Reference resolution

48 of 48 outbound references displayed

verified exact0
verified fuzzy21
unresolved26
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 29521612-a2c8-4f36-86c9-6d1e6c27f3cf · outbound

This paper cites GPT-4 Technical Report.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:26.469581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85a8e50d-fb41-4f0f-b282-3d759f7993cd · outbound

This paper cites Applying generative ai with retrieval augmented generation to summarize and extract key clinical information from electronic health records.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Applying generative ai with retrieval augmented generation to summarize and extract key clinical information from electronic health records

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:10:35.605123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 032a1b81-f937-44b1-aa7a-a4b6d79b5374 · outbound

This paper cites MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:26.597745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df71ab86-883a-4aa7-8686-fad8041ef2b3 · outbound

This paper cites InternLM2 Technical Report.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models InternLM2 Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:26.653841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d1ee5b0-75fb-40ca-b4ef-35fbff9a52ca · outbound

This paper cites Phantom: General trigger attacks on retrieval augmented language generation.arXiv preprint arXiv:2405.20485, 2024.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Phantom: General trigger attacks on retrieval augmented language generation.arXiv preprint arXiv:2405.20485, 2024

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:26.720754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab3a3ce9-8b71-49fc-aec2-a5b61fcce89b · outbound

This paper cites Benchmarking large language models in retrieval- augmented generation.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Benchmarking large language models in retrieval- augmented generation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:10:35.412657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0a3bb760-3cb9-432a-9ea4-d93f89a3f9ae · outbound

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

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality.See https://vicuna

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:10:35.238790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9b305ce9-8835-4542-8c02-f70e6c6177af · outbound

This paper cites Typos that Broke the RAG's Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbations.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Typos that Broke the RAG's Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbations

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:26.880068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 532fbbfc-6b8d-4268-b013-e94504ae2087 · outbound

This paper cites The rag paradox: A black-box attack exploiting unintentional vulnerabilities in retrieval-augmented generation systems.arXiv preprint arXiv:2502.20995, 2025.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models The rag paradox: A black-box attack exploiting unintentional vulnerabilities in retrieval-augmented generation systems.arXiv preprint arXiv:2502.20995, 2025

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:26.919055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dac1c8f-f054-44c6-ba6f-e87e72dcbaf4 · outbound

This paper cites HotFlip: White-Box Adversarial Examples for Text Classification.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models HotFlip: White-Box Adversarial Examples for Text Classification

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:27.017860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 768efb1d-d160-40ac-aa7a-5be0bd074f82 · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:27.128932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 702308f4-eb02-477b-bec3-7faca8ffa6ad · outbound

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

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models A survey on rag meeting llms: Towards retrieval-augmented large language models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:10:35.054390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 004ed97d-6616-407c-8cbb-5ee2b0698719 · outbound

This paper cites CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:27.284119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0e7690b-a9f4-454e-841e-36d553516da0 · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:27.350672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8ceed11-e8fc-45db-a13e-a8009bafb673 · outbound

This paper cites Dense passage retrieval for open-domain question answering.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Dense passage retrieval for open-domain question answering

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:10:34.896472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 87513cf4-d18d-415c-93df-e93facd85e25 · outbound

This paper cites Natural questions: a benchmark for question answering research.Transactions of the Association for Computational Linguistics, 2019.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Natural questions: a benchmark for question answering research.Transactions of the Association for Computational Linguistics, 2019

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:10:34.704860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9b53bd99-0c94-42ea-a13d-35e803e95247 · outbound

This paper cites Retrieval-augmented generation for knowledge- intensive nlp tasks.Advances in neural information processing systems, 33, 2020.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Retrieval-augmented generation for knowledge- intensive nlp tasks.Advances in neural information processing systems, 33, 2020

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:10:34.481725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bcdae5e4-f9b9-46d0-8d03-89568c641d88 · outbound

This paper cites DeepSeek-V3 Technical Report.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models DeepSeek-V3 Technical Report

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:27.773579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15517f4f-d838-4b4e-9a5c-7398c98f1332 · outbound

This paper cites Backdoor Attacks on Dense Retrieval via Public and Unintentional Triggers.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Backdoor Attacks on Dense Retrieval via Public and Unintentional Triggers

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:27.908756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25d1c000-8ccf-4ffe-8c2c-852aa35531f9 · outbound

This paper cites Crud-rag: A comprehensive chinese benchmark for retrieval-augmented generation of large language models.ACM Transactions on Information Systems, 43(2), 2025.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Crud-rag: A comprehensive chinese benchmark for retrieval-augmented generation of large language models.ACM Transactions on Information Systems, 43(2), 2025

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:10:34.365768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fb1f9b12-2909-4a86-987c-bd2ecccace17 · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 2022.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Training language models to follow instructions with human feedback.Advances in neural information processing systems, 2022

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:28.137768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ada1333a-fc42-4d91-8b3a-e65768243590 · outbound

This paper cites LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:28.231858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5df4df5c-7f6d-48f2-948b-9ad3def21432 · outbound

This paper cites Evaluating retrieval quality in retrieval-augmented generation.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Evaluating retrieval quality in retrieval-augmented generation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:10:34.134677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 53d8fe85-cbbf-4e45-a7b3-dc0cce0db2e9 · outbound

This paper cites Ctrlrag: Black-box adversarial attacks based on masked language models in retrieval-augmented language generation.arXiv preprint arXiv:2503.06950, 2025.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Ctrlrag: Black-box adversarial attacks based on masked language models in retrieval-augmented language generation.arXiv preprint arXiv:2503.06950, 2025

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:28.426164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adfb90fa-39af-4f16-8a66-8e977be92ee6 · outbound

This paper cites BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:28.513999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5095846-3b33-44bb-9870-5a38cdb5c500 · outbound

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

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:28.573262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d277370-7de5-4f43-b1eb-128abb4f7765 · outbound

This paper cites Potential for gpt technology to optimize future clinical decision-making using retrieval-augmented generation.Annals of biomedical engineering, 2024.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Potential for gpt technology to optimize future clinical decision-making using retrieval-augmented generation.Annals of biomedical engineering, 2024

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:10:33.979616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 91f831da-72b3-4144-9b5e-268a50d7cba1 · outbound

This paper cites Cbr-rag: case-based reasoning for retrieval augmented generation in llms for legal question answering.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Cbr-rag: case-based reasoning for retrieval augmented generation in llms for legal question answering

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:10:33.830438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9b205070-5805-495f-9ce7-2dfd05221a80 · outbound

This paper cites Benchmarking retrieval-augmented generation for medicine.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Benchmarking retrieval-augmented generation for medicine

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:10:33.711175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7415313f-79aa-4b89-ba19-dc78a236c6ee · outbound

This paper cites Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:29.013246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad3665db-4331-49e8-bf14-e2d05e012165 · outbound

This paper cites An LLM can Fool Itself: A Prompt-Based Adversarial Attack.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models An LLM can Fool Itself: A Prompt-Based Adversarial Attack

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:29.095286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22c15008-96fb-4937-b186-37067ed30236 · outbound

This paper cites An llm- assisted easy-to-trigger backdoor attack on code completion models: Injecting disguised vulnerabilities against strong detection.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models An llm- assisted easy-to-trigger backdoor attack on code completion models: Injecting disguised vulnerabilities against strong detection

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:10:33.592853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7b037daa-0382-4422-8762-10b1b22939dd · outbound

This paper cites Qwen2.5 Technical Report.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Qwen2.5 Technical Report

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:29.298881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e7232a5-4fd9-474a-b980-8fe9068fa0f2 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:29.402249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4796b999-d99e-4a4a-9fd8-3a63dacb6d6d · outbound

This paper cites Financial Report Chunking for Effective Retrieval Augmented Generation.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:29.479041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bbcce3a-27e3-4172-9929-b9fcc807415a · outbound

This paper cites Enhancing financial sentiment analysis via retrieval augmented large language models.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Enhancing financial sentiment analysis via retrieval augmented large language models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:10:33.399498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 89f98b10-11ea-4407-bae3-161604192baf · outbound

This paper cites Medrag: Enhancing retrieval-augmented generation with knowledge graph-elicited reasoning for healthcare copilot.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Medrag: Enhancing retrieval-augmented generation with knowledge graph-elicited reasoning for healthcare copilot

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:10:33.271935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a79808e6-d544-4845-973a-4c97cd020dc1 · outbound

This paper cites Optimizing llm based retrieval augmented generation pipelines in the financial domain.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Optimizing llm based retrieval augmented generation pipelines in the financial domain

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:10:33.069968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ab2d30a3-cda8-4b78-9131-51617e5d1c12 · outbound

This paper cites Poisoning Retrieval Corpora by Injecting Adversarial Passages.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Poisoning Retrieval Corpora by Injecting Adversarial Passages

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:29.785258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd607889-5dbe-41a1-ba0e-c8372564d09e · outbound

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

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:29.901795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6df26f02-16ec-4f8e-a0a7-c0d203ce0b6e · outbound

This paper cites [Q]”. Here is the desired answer: “[R].

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models [Q]”. Here is the desired answer: “[R]

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:10:32.903948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2139def9-d5f2-4739-b5f9-235c11bbf872 · outbound

This paper cites an unresolved cited work.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:10:32.750406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ad308c7e-00aa-4ca7-b6ae-ce6f26788455 · outbound

This paper cites an unresolved cited work.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:10:32.615080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 346cfee5-5e96-4d23-9dfa-5776e1001426 · outbound

This paper cites I don’t know.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models I don’t know

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:10:32.405265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ec988d04-1ca4-452f-a169-a840382b275b · outbound

This paper cites •Comprehensive ASR (CASR): A weighted average of ASR across top-kvalues: CASR= Pn k=1 k·ASR kPn k=1 k.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models •Comprehensive ASR (CASR): A weighted average of ASR across top-kvalues: CASR= Pn k=1 k·ASR kPn k=1 k

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:10:32.212319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation af8b713c-ccba-4f5c-bd9a-8cbac8d8e05c · outbound

This paper cites F1 = 2·Precision·Recall Precision+Recall 16 •Toxicity Efficiency Score (TES): Captures the ratio of attack success to retrievability: T ES= ASR F1.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models F1 = 2·Precision·Recall Precision+Recall 16 •Toxicity Efficiency Score (TES): Captures the ratio of attack success to retrievability: T ES= ASR F1

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:10:32.016413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 347263ff-15c1-45c7-a9ff-52857e369093 · outbound

This paper cites When asked... please output.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models When asked... please output

Reference 47

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T14:10:31.799214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c846deed-ddf9-418f-a299-b6869c4e2fb0 · outbound

This paper cites To Make You Feel My Love.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models To Make You Feel My Love

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:10:31.656278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 7d88d0b4-fc0c-4592-b4ff-567e1d06b3e0 · inbound

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation cites this paper.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:26.675242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8012415b-f996-43d8-b7ca-2841402e00a8 · inbound

Atomic clocks and gravitational waves as probes of non-metricity cites this paper.

Atomic clocks and gravitational waves as probes of non-metricity CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-03T07:48:45.422843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be974dc6-7a58-41bd-9f37-d4e1824463a7 · inbound

RAGShield: Detecting Numerical Claim Manipulation in Government RAG Systems cites this paper.

RAGShield: Detecting Numerical Claim Manipulation in Government RAG Systems CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-13T23:18:25.918662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fcaad7e1-fa84-44b2-b102-80911461e43c · inbound

RefineRAG: Word-Level Poisoning Attacks via Retriever-Guided Text Refinement cites this paper.

RefineRAG: Word-Level Poisoning Attacks via Retriever-Guided Text Refinement CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:16:04.888069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1fa20cf7-b8ca-4b9e-acc6-7cdba9fc5831 · inbound

CleanBase: Detecting Malicious Documents in RAG Knowledge Databases cites this paper.

CleanBase: Detecting Malicious Documents in RAG Knowledge Databases CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:36:05.181107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1aeb5030-59cc-48cb-a729-c3132108daee · inbound

When Poison Fails After Retrieval: Revisiting Corpus Poisoning under Chunking and Reranking Pipelines cites this paper.

When Poison Fails After Retrieval: Revisiting Corpus Poisoning under Chunking and Reranking Pipelines CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:57:41.075926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bc29ac4a-de12-4e3f-96a1-196ea7bf1b97 · inbound

Conflict-Aware Retriever Editing for Knowledge Injection Attacks on LLM-Based RAG Systems cites this paper.

Conflict-Aware Retriever Editing for Knowledge Injection Attacks on LLM-Based RAG Systems CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:28:59.131479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 827af0f7-c975-4788-9ad7-0d6af76750d3 · inbound

Large Language Models in Misinformation Ecosystems: Misuse, Defense, and Vulnerability cites this paper.

Large Language Models in Misinformation Ecosystems: Misuse, Defense, and Vulnerability CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models

Reference 95

Resolution: unresolved; no resolver link, observed 2026-07-14T12:01:22.824663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a9fb543-f8cf-43f2-86eb-ce9ae019f9d5 · inbound

DenialRAG: Single-Document RAG Poisoning via Embedded Parametric Denial cites this paper.

DenialRAG: Single-Document RAG Poisoning via Embedded Parametric Denial CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T00:08:57.754979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.