Paper Citation Record · LEDGER

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation

As of 10 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 6 inbound Pith citation observations for arXiv:2508.18652.

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

pith.paper-citation-record.v1
2508.18652 v1

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:24:26.938446Z

measured 88 of 88 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T12:01:22.824663Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:59:37.735034Z

Reference resolution

82 of 82 outbound references displayed

verified exact2
verified fuzzy56
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 376fe348-b7ed-4afb-ba7d-9a283fed43bb · outbound

This paper cites Bing copilot.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Bing copilot

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:25.874745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c6d9323-5d27-46d9-adea-c481926156ea · outbound

This paper cites Searchgpt.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Searchgpt

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:25.885599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c37bee79-b3d6-4ff8-868b-03d87683e369 · outbound

This paper cites Google ai search.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Google ai search

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.972043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a211dc29-54a7-4a29-b225-e4e1be190665 · outbound

This paper cites LlamaIndex,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation LlamaIndex,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.963607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ce9ee25e-3ee0-4a13-830a-e62c85cc4c49 · outbound

This paper cites LangChain.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation LangChain

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.955594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c8a972e5-4018-4994-8dbb-0295c3e5cfcb · outbound

This paper cites Chatrtx.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Chatrtx

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.947409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c0a2af76-392d-41a0-bcfb-e4bcd89f3f13 · outbound

This paper cites Wikimedia downloads.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Wikimedia downloads

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.939409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1a37e376-5dba-46c7-9650-74291bcd1f2e · outbound

This paper cites Poisonedrag: Knowledge poisoning attacks to retrieval-augmented generation of large language models,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Poisonedrag: Knowledge poisoning attacks to retrieval-augmented generation of large language models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.931413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 85cca0c3-58db-411e-badc-d538e9aaa01e · outbound

This paper cites Machine against the rag: Jamming retrieval-augmented generation with blocker documents,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Machine against the rag: Jamming retrieval-augmented generation with blocker documents,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.919381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a84b3aa3-2592-421d-9acd-6218ca858aa7 · outbound

This paper cites Poisoned-MRAG: Knowledge Poisoning Attacks to Multimodal Retrieval Augmented Generation.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Poisoned-MRAG: Knowledge Poisoning Attacks to Multimodal Retrieval Augmented Generation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:26.144765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03c00e83-8c71-4bb6-93f3-aebd7131c264 · 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.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Typos that Broke the RAG's Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbations

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:26.170327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03b79a46-9725-4fe6-bb6d-f558ba5931b5 · outbound

This paper cites Practical poisoning attacks against retrieval-augmented generation,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Practical poisoning attacks against retrieval-augmented generation,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:26.204776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 207ccbe3-834c-4b0b-a131-f0ff4c3b108d · outbound

This paper cites Glue pizza and eat rocks-exploiting vulnerabilities in retrieval-augmented generative models,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Glue pizza and eat rocks-exploiting vulnerabilities in retrieval-augmented generative models,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.910891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ee8bce63-c68c-40c4-9ef1-06eef30cffcf · outbound

This paper cites Gasliteing the retrieval: Exploring vulnerabilities in dense embedding-based search,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Gasliteing the retrieval: Exploring vulnerabilities in dense embedding-based search,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:26.291512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f94c558f-41b4-4793-9259-4efc0621cb4f · outbound

This paper cites Adversarial Decoding: Generating Readable Documents for Adversarial Objectives.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Adversarial Decoding: Generating Readable Documents for Adversarial Objectives

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:26.364762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d31c5873-243c-4bf9-bf9b-6344c9fb680a · outbound

This paper cites Trojanrag: Retrieval-augmented generation can be backdoor driver in large language models,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Trojanrag: Retrieval-augmented generation can be backdoor driver in large language models,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.901924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2b087758-0a58-4a44-afc0-498e736cc755 · outbound

This paper cites Badrag: Identifying vulnerabilities in retrieval augmented generation of large language models,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Badrag: Identifying vulnerabilities in retrieval augmented generation of large language models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.892417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 62ba5850-17c3-4c8d-aa60-fc5ee2f23843 · outbound

This paper cites Phantom: General trigger attacks on retrieval augmented language generation,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Phantom: General trigger attacks on retrieval augmented language generation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.884180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 04cb1227-90c1-45ed-9584-fab76d51fe14 · outbound

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

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Agentpoison: Red-teaming llm agents via poisoning memory or knowledge bases,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.875899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d27ceba6-2e4f-4dd7-b992-c33bbeba1b0e · outbound

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

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Backdoor Attacks on Dense Retrieval via Public and Unintentional Triggers

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:26.553837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc8d3c27-c344-4eff-9287-efedabd53166 · outbound

This paper cites Graphrag under fire,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Graphrag under fire,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:26.595259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d6e0c5c-b8a4-4e19-8565-405659ad3c8c · outbound

This paper cites Topic-fliprag: Topic-orientated adversarial opinion manipulation attacks to retrieval-augmented generation models,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Topic-fliprag: Topic-orientated adversarial opinion manipulation attacks to retrieval-augmented generation models,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.867705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7437f6be-e14a-4d74-ae5d-babaf660b7c9 · outbound

This paper cites Flippedrag: Black-box opinion manipulation adversarial attacks to retrieval-augmented generation models,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Flippedrag: Black-box opinion manipulation adversarial attacks to retrieval-augmented generation models,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.859053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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

This paper cites CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models.

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 af7c86e6-7fca-4f82-973f-30bd4af86a6c · outbound

This paper cites The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:24:27.124601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6fd26a46-23ea-430b-a173-5c231195047e · outbound

This paper cites Poisoning web-scale training datasets is practical,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Poisoning web-scale training datasets is practical,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.851093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0f3ca802-2230-4faa-badf-2075cfa2dad1 · outbound

This paper cites Ai-based chatbots in customer service and their effects on user compliance,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Ai-based chatbots in customer service and their effects on user compliance,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.842956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9c8dda39-b236-4f15-be4f-be6119a6e522 · outbound

This paper cites Ai in academia: An overview of selected tools and their areas of application,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Ai in academia: An overview of selected tools and their areas of application,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.834488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7d1f0b11-b630-4c86-8dce-a85a6635cf5f · outbound

This paper cites Ai in health and medicine,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Ai in health and medicine,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.826417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1fbc13a4-c10c-424f-ad25-cc911da382c3 · outbound

This paper cites Making llms worth every penny: Resource- limited text classification in banking,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Making llms worth every penny: Resource- limited text classification in banking,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.817566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b4bade37-fcc1-4dd7-b771-6e32668be186 · outbound

This paper cites Chain of reference prompting helps llm to think like a lawyer,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Chain of reference prompting helps llm to think like a lawyer,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.809193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d8f0101f-4a0e-4af3-9c9e-717df6bbb6e8 · outbound

This paper cites Autolaw: Augmented legal reasoning through legal precedent prediction,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Autolaw: Augmented legal reasoning through legal precedent prediction,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.800970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8d1fa559-35a6-4db4-b456-bfd066e76bd1 · outbound

This paper cites Hotflip: White-box adversarial examples for text classification,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Hotflip: White-box adversarial examples for text classification,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.792486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 91251107-fd17-4ffd-870f-651929c2fca8 · outbound

This paper cites Prompt injection attacks against GPT-3.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Prompt injection attacks against GPT-3

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.784505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2bbf0cf4-6660-4cf0-aa49-cf90458973b9 · outbound

This paper cites Ignore previous prompt: Attack techniques for language models,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Ignore previous prompt: Attack techniques for language models,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:26.727038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d8d3fd6-50f8-413f-b099-e428fdbd33de · outbound

This paper cites Not what you’ve signed up for: Compromising real-world llm-integrated applications with indirect prompt injection,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Not what you’ve signed up for: Compromising real-world llm-integrated applications with indirect prompt injection,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.770549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ad8edcc8-5ea0-430e-bef2-d4950c2c8fa1 · outbound

This paper cites Formalizing and benchmarking prompt injection attacks and defenses,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Formalizing and benchmarking prompt injection attacks and defenses,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.762680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dd32dd8d-6c3c-41b0-931d-d716d8c7d025 · outbound

This paper cites Prompt Injection attack against LLM-integrated Applications.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Prompt Injection attack against LLM-integrated Applications

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:26.737248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ded80d7c-1156-4ac7-8bdd-2c9422582adc · outbound

This paper cites Automatic and Universal Prompt Injection Attacks against Large Language Models.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Automatic and Universal Prompt Injection Attacks against Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:26.741048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31305030-9104-43e7-9c99-1973060cc691 · outbound

This paper cites Natural questions: a benchmark for question answering research,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Natural questions: a benchmark for question answering research,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.754888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4cabb9f9-40e6-41e2-98cc-fa578611cbdf · outbound

This paper cites Hotpotqa: A dataset for diverse, explainable multi-hop question answering,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Hotpotqa: A dataset for diverse, explainable multi-hop question answering,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.746695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2b806c03-b3c2-4225-8436-634298064de3 · outbound

This paper cites Ms marco: A human generated machine reading comprehension dataset,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Ms marco: A human generated machine reading comprehension dataset,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.738943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2f31de9e-9511-4172-a89d-d7fe60f67b18 · outbound

This paper cites The Llama 3 Herd of Models.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation The Llama 3 Herd of Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:26.761737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9039784c-88df-4cda-899f-6c4851970bd2 · outbound

This paper cites GPT-4o System Card.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation GPT-4o System Card

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:26.764936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6848f411-29db-46d5-a0e9-9e09415ac3e9 · outbound

This paper cites Poisoning retrieval corpora by injecting adversarial passages,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Poisoning retrieval corpora by injecting adversarial passages,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.730884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5e9c26ce-838a-4dcb-a356-142ef2c48e76 · outbound

This paper cites Baseline defenses for adversarial attacks against aligned language models,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Baseline defenses for adversarial attacks against aligned language models,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.722683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 77fc09f9-f69b-4725-8cf4-fdeed1b7f998 · outbound

This paper cites InstructRAG: Instructing retrieval-augmented generation via self-synthesized rationales,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation InstructRAG: Instructing retrieval-augmented generation via self-synthesized rationales,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.714581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 79b2a7a2-9377-4894-af17-87186b707440 · outbound

This paper cites Self-rag: Learning to retrieve, generate, and critique through self- reflection,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Self-rag: Learning to retrieve, generate, and critique through self- reflection,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.706458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ffb9a1e1-2bf6-4d3a-818c-702e96704517 · outbound

This paper cites Corrective retrieval augmented generation,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Corrective retrieval augmented generation,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.697410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 34212d96-a7ee-4e64-9d9b-3745ba063bab · outbound

This paper cites Certifiably robust rag against retrieval corruption,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Certifiably robust rag against retrieval corruption,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.686874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 018cc2b7-1373-4676-ba86-86280b9d3daa · outbound

This paper cites Beir: A heterogeneous benchmark for zero-shot evaluation of information retrieval models,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Beir: A heterogeneous benchmark for zero-shot evaluation of information retrieval models,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.671058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a2e8d238-4310-4724-be2c-cf6296b283da · outbound

This paper cites Trec 2019 news track overview.,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Trec 2019 news track overview.,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.651796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6f31de8f-c905-498b-8256-60235deac471 · outbound

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

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Dense passage retrieval for open- domain question answering,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.641297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7e2855cc-aed3-4af3-b2e4-5d2cd3cc5284 · outbound

This paper cites Unsupervised dense information retrieval with contrastive learning,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Unsupervised dense information retrieval with contrastive learning,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.632954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 98975d4b-e95b-4885-a693-e7b3a77f7e79 · outbound

This paper cites Approximate nearest neighbor negative contrastive learning for dense text retrieval,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Approximate nearest neighbor negative contrastive learning for dense text retrieval,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.619467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dd07344c-a108-4973-9785-ddb537bdea22 · outbound

This paper cites TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:26.802996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b534293-5139-415e-8ac8-151495a49109 · outbound

This paper cites Least squares quantization in pcm,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Least squares quantization in pcm,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:26.806377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b907a44-d126-4496-a4db-3ba67956ff53 · outbound

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

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:26.815232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23dd6321-fb7c-46c8-baa6-0f32f7818220 · outbound

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

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Autodan: Generating stealthy jailbreak prompts on aligned large language models,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.604327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation acaf36e5-2bd0-4e22-9e9f-2ae2602dbf54 · outbound

This paper cites Textattack: A framework for adversarial attacks, data augmentation, and adversarial training in nlp,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Textattack: A framework for adversarial attacks, data augmentation, and adversarial training in nlp,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.590810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f0f53df0-71ef-40ba-a9df-872c6e28284f · outbound

This paper cites Is bert really robust? a strong baseline for natural language attack on text classification and entailment,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Is bert really robust? a strong baseline for natural language attack on text classification and entailment,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:26.857014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 355be88f-5e12-4f6b-b51d-38c73536f65c · outbound

This paper cites Textbugger: Generating adversarial text against real-world applications,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Textbugger: Generating adversarial text against real-world applications,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.568190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9957a14e-a55a-4a39-b56c-4878e0ca2ba0 · outbound

This paper cites Bert-attack: Adversarial attack against bert using bert,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Bert-attack: Adversarial attack against bert using bert,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:26.878217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5534a1b4-121e-446f-96bc-93fc691fecca · outbound

This paper cites Black-box generation of adversarial text sequences to evade deep learning classifiers,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Black-box generation of adversarial text sequences to evade deep learning classifiers,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.554199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d62f8e4f-14ba-43fe-8b79-c738f2c3f743 · outbound

This paper cites Improving Retrieval for RAG based Question Answering Models on Financial Documents.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Improving Retrieval for RAG based Question Answering Models on Financial Documents

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:26.885481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fabf6f85-f2f7-4d25-ad2f-e118c8d95970 · outbound

This paper cites The Chronicles of RAG: The Retriever, the Chunk and the Generator.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation The Chronicles of RAG: The Retriever, the Chunk and the Generator

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:26.890089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 762df6c9-65c9-441e-ba41-abb8a942088a · outbound

This paper cites Introducing a new hyper-parameter for RAG: Context Window Utilization.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Introducing a new hyper-parameter for RAG: Context Window Utilization

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:24:26.991409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eee5a6f4-5a0b-423d-832b-d5d7bc74bf5b · outbound

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

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Retrieval-augmented generation for knowledge-intensive nlp tasks,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.546172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0935f282-c561-46ec-9817-cb0575cae64c · outbound

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

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:26.901552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56ea0577-a0cc-4e48-a055-860cc86966cf · outbound

This paper cites Language models are few-shot learners,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Language models are few-shot learners,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.533838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e42099f8-6833-4897-9b68-ea096240108f · outbound

This paper cites Introducing the model context protocol.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Introducing the model context protocol

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.525194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ed7955a3-ad2c-42ee-868a-86f5cc3c3855 · outbound

This paper cites React: Synergizing reasoning and acting in language models,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation React: Synergizing reasoning and acting in language models,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.517255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ddb23993-78ba-4c49-939c-46db8bf8ecf0 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Reflexion: Language agents with verbal reinforcement learning,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.509351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f3a73943-79f2-4fa8-a096-895e9fb27660 · outbound

This paper cites Executable code actions elicit better llm agents,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Executable code actions elicit better llm agents,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.500851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 466cbde8-f518-412a-a437-3add5374d6df · outbound

This paper cites Bolaa: Benchmarking and orchestrating llm-augmented autonomous agents,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Bolaa: Benchmarking and orchestrating llm-augmented autonomous agents,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.491344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a515583b-1d5c-4c20-a39f-6019674c6549 · outbound

This paper cites Qasina: Religious domain question answering using sirah nabawiyah,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Qasina: Religious domain question answering using sirah nabawiyah,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.483182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 239c75cf-8528-4de1-a378-1c8cc1927ed9 · outbound

This paper cites Catastrophic jailbreak of open-source llms via exploiting generation,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Catastrophic jailbreak of open-source llms via exploiting generation,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.474962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 916d27eb-ffc7-4e14-803b-0932c9d899f5 · outbound

This paper cites Neural exec: Learning (and learning from) execution triggers for prompt injection attacks,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Neural exec: Learning (and learning from) execution triggers for prompt injection attacks,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.466490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 18255eed-9f4d-4b31-9174-5c3576987783 · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation A density-based algorithm for discovering clusters in large spatial databases with noise,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.458215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 24d73751-bcbc-4a89-bf07-80692eb68daa · outbound

This paper cites hdbscan: Hierarchical density based clustering,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation hdbscan: Hierarchical density based clustering,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:26.932262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1d54638-9fc4-4d37-b800-2fe070de0839 · outbound

This paper cites Data clustering using bisecting k-means,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Data clustering using bisecting k-means,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.444127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2324b795-6608-48dd-a4db-43940b01a4c4 · outbound

This paper cites Scikit-learn: Machine learning in python,.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Scikit-learn: Machine learning in python,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:24:27.435603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation c5e286fc-45d1-4552-b85e-0e61ac6d17c2 · inbound

Can You Trust the Vectors in Your Vector Database? Black-Hole Attack from Embedding Space Defects cites this paper.

Can You Trust the Vectors in Your Vector Database? Black-Hole Attack from Embedding Space Defects UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:40:48.550832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fffc698d-669e-4e72-bad5-ab8ee49dcc24 · inbound

A Wolf in Sheep's Clothing: Targeted Routing Hijacking in Federated RAG cites this paper.

A Wolf in Sheep's Clothing: Targeted Routing Hijacking in Federated RAG UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T11:43:24.176037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3cc3d0b9-713b-4135-a671-39f299e10dca · inbound

DiscourseFlip: An Oblique Discourse-Level Opinion Manipulation Attack against Black-box Retrieval-Augmented Generation cites this paper.

DiscourseFlip: An Oblique Discourse-Level Opinion Manipulation Attack against Black-box Retrieval-Augmented Generation UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:46:13.951792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4ea75eff-7e73-470b-b2ad-feab2155ebf1 · inbound

ImageAuditor: Membership Inference Attack against Image-based Retrieval-Augmented Generation cites this paper.

ImageAuditor: Membership Inference Attack against Image-based Retrieval-Augmented Generation UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:26:29.493660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dfcc4d77-dd42-4f9a-9b32-484c93ec1f5a · inbound

ARENA: An Architecture for Measuring the Transferability of Autonomous Cyber Defense cites this paper.

ARENA: An Architecture for Measuring the Transferability of Autonomous Cyber Defense UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:59:37.737225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation df58ede7-4d91-491a-8eee-6be9474f9fc3 · inbound

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

Large Language Models in Misinformation Ecosystems: Misuse, Defense, and Vulnerability UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation

Reference 56

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.