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Paper Citation Record · LEDGER

BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 59 inbound Pith citation observations for arXiv:2406.00083.

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

pith.paper-citation-record.v1
2406.00083 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

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

measured 59 of 59 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:46:38.693465Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
  • metadata mismatch0

External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 91c34bd6-2743-4ffa-862f-9cf9a5233a5f · inbound

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey cites this paper.

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 83

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verified exact
arxiv_id, observed 2026-05-23T21:08:25.872258Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-23T21:08:11.787013Z digest=sha256:15015767ab8e2d89c23cd53652975ef08eb3795cde8a2c7bff656d3050c2d6fc

Observation 57bdddbd-4d4e-4769-aa0a-05e97aa9a9fd · inbound

LLM-based Multi-Agent Systems: Techniques and Business Perspectives cites this paper.

LLM-based Multi-Agent Systems: Techniques and Business Perspectives BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 76

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no resolver link, observed 2026-08-12T15:40:35.955486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:40:35.955486Z digest=sha256:5cc78ddb0ab034167601a4735f3c83f35c80a6aa646fe5b02ad1fda04fa62e10

Observation e119561a-e9c9-4659-a5b8-f3d84e5bb700 · inbound

RevPRAG: Revealing Poisoning Attacks in Retrieval-Augmented Generation through LLM Activation Analysis cites this paper.

RevPRAG: Revealing Poisoning Attacks in Retrieval-Augmented Generation through LLM Activation Analysis BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 41

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no resolver link, observed 2026-08-12T10:47:45.854995Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:47:45.854995Z digest=sha256:898c65a832b0e075b31bd55fdbec83afca1c6cc91b6764aac4734cbd25e8816f

Observation ca842eed-6b4d-40c3-b8d7-7fa13c1a3e7f · inbound

Adversarial Hubness in Multi-Modal Retrieval cites this paper.

Adversarial Hubness in Multi-Modal Retrieval BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:42:39.713826Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-23T06:39:36.039613Z digest=sha256:7952fe7ba557ac18b427c65d1720a7710429824d7e827fe09b1a8f3b1bab959c

Observation 5537bfca-eead-4237-8e25-2516f48af2d8 · inbound

Towards More Robust Retrieval-Augmented Generation: Evaluating RAG Under Adversarial Poisoning Attacks cites this paper.

Towards More Robust Retrieval-Augmented Generation: Evaluating RAG Under Adversarial Poisoning Attacks BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T10:24:21.766041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T10:24:21.766041Z digest=sha256:c63981fdc06fc888cdaaa7eb3e248b90aedd2aa670f4b2d6f6af272d34eb2568

Observation 0f91a13e-9077-4d71-b0da-521b754aba00 · inbound

Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems cites this paper.

Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 15

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no resolver link, observed 2026-08-10T17:59:56.242423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:59:56.242423Z digest=sha256:98a8910e5e0e1f481d359f7d1ed615fbe6a98dec02eb2ff2ad0740644488f1b1

Observation 6a777596-80af-48c8-b0b4-4dfd32229065 · inbound

Large Language Model Adversarial Landscape Through the Lens of Attack Objectives cites this paper.

Large Language Model Adversarial Landscape Through the Lens of Attack Objectives BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 9

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no resolver link, observed 2026-08-09T10:29:49.926458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:29:49.926458Z digest=sha256:538f853dc1da5242bd79c831648d7fd2688b0ddd41985c52bfbad760f5b10ccb

Observation 50cbaac6-80e9-4565-9536-9910388087cd · inbound

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations cites this paper.

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 124

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no resolver link, observed 2026-08-09T00:50:00.462314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:50:00.462314Z digest=sha256:7ad9154981480dc0e726856c49e7f042a4f24af75537e1f0583db39edafaa852

Observation 77e3b112-7ac1-4b2e-8873-37430cddf51a · inbound

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey cites this paper.

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 209

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no resolver link, observed 2026-08-08T19:15:25.682451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:25.682451Z digest=sha256:dbcd9711dee37bbfc5cce03198eafacb645c511ac2deebb1eae3f8222c6785fc

Observation 83841e1d-6853-490e-b055-5e9df4993c5c · inbound

Distributed Retrieval-Augmented Generation cites this paper.

Distributed Retrieval-Augmented Generation BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 33

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no resolver link, observed 2026-08-16T04:46:38.693465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:46:38.693465Z digest=sha256:8a51f6eb98cec02fc72ae69b9d00f413e576e16924824ecced021a531a83796e

Observation a57a277e-e644-4f01-b244-d976d12d1cd5 · inbound

Stealthy LLM-Driven Data Poisoning Attacks Against Embedding-Based Retrieval-Augmented Recommender Systems cites this paper.

Stealthy LLM-Driven Data Poisoning Attacks Against Embedding-Based Retrieval-Augmented Recommender Systems BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 12

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no resolver link, observed 2026-08-15T23:12:44.418510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:12:44.418510Z digest=sha256:b386096a71c89adf230126bee04cc3dda5a6a4a017c6d14ef3d20a4c484e78d3

Observation 1c5c31c7-35b8-4c97-a78f-f997e012a571 · inbound

POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models cites this paper.

POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 24

Resolution
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no resolver link, observed 2026-08-15T22:43:05.999906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:43:05.999906Z digest=sha256:ff181a2f77abb11c75113bcccbc1b3e5e6408e16ef5ddfde24a8393facf7b7df

Observation 4491e144-20db-40d9-9160-c339949e7d54 · inbound

Safety Degradation in AI Agents cites this paper.

Safety Degradation in AI Agents BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 26

Resolution
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no resolver link, observed 2026-08-07T15:41:04.455697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:41:04.455697Z digest=sha256:dfb3531735eb5567732e6e239a594107eb3b17b20893ea51c3e4ee2f229bb80d

Observation d7afac52-f6a5-4c8d-ab70-f10d27949b6a · inbound

Scalable Defense against In-the-wild Jailbreaking Attacks with Safety Context Retrieval cites this paper.

Scalable Defense against In-the-wild Jailbreaking Attacks with Safety Context Retrieval BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T15:15:48.764754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:15:48.764754Z digest=sha256:96c2e987b03dfa8fd9a78513aaeb642e9c01d87f19f4d8c7c8e919126d2e59bc

Observation 54b84ce8-fc91-443f-846e-7b6b4fadf8e4 · inbound

Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains cites this paper.

Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 53

Resolution
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no resolver link, observed 2026-08-07T15:14:49.451675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:14:49.451675Z digest=sha256:4e4f03f8cd193ca38c3d22edf5c7d6c60d526f5a9eacaedf395b596589a4a956

Observation 328b8b7c-44b9-4a1d-b583-a54246d7c18b · inbound

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation cites this paper.

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:59.243279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:59.243279Z digest=sha256:289072cef3a7d7807dd7ac2d3fca1e93c6f1e1699b71ae1f0bd2995c2f86ac90

Observation 4265ee53-a561-4244-b577-fe49af649332 · inbound

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

The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 44

Resolution
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no resolver link, observed 2026-08-07T14:36:35.283940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:36:35.283940Z digest=sha256:bdfa91484b7711bdadf05f9b61ef5c517534d64c9fe20510dbb822604e6ab9c4

Observation bc749ad0-d4f3-4c11-bf0d-2d2ea5713ce2 · inbound

Spa-VLM: Stealthy Poisoning Attacks on RAG-based VLM cites this paper.

Spa-VLM: Stealthy Poisoning Attacks on RAG-based VLM BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 11

Resolution
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no resolver link, observed 2026-08-07T13:21:40.107539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:21:40.107539Z digest=sha256:406e43416083877ba9580c9ef03575e99abb7d7dcca05cec99cc3e5ffc7a6e14

Observation ffc3afd1-f751-4182-93cf-2015b845a542 · inbound

Adversarial Threat Vectors and Risk Mitigation for Retrieval-Augmented Generation Systems cites this paper.

Adversarial Threat Vectors and Risk Mitigation for Retrieval-Augmented Generation Systems BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 4

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unresolved
no resolver link, observed 2026-08-07T12:11:28.794640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:11:28.794640Z digest=sha256:cd806ff28bf167a75fbdcc82e1151c90ca8c2e56bf681b92ac4e83fb0eb570fd

Observation 30727c9b-87cd-4495-9751-505a1b88a8f0 · inbound

Across Programming Language Silos: A Study on Cross-Lingual Retrieval-augmented Code Generation cites this paper.

Across Programming Language Silos: A Study on Cross-Lingual Retrieval-augmented Code Generation BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:53:03.501566Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-19T11:52:44.990234Z digest=sha256:2a5cb867d094e0eb8a5a2ee10feb8aa135ee51af27483b0113f546814edca6fd

Observation 658ee460-5d59-4cf6-96ba-1e980303fe72 · inbound

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs cites this paper.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 30

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no resolver link, observed 2026-08-07T04:15:38.811538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:15:38.811538Z digest=sha256:5cb22160bc3349c681e3bcfeba4d320d60c9516d608c802dec3a9c02a01cc618

Observation ea89fa41-4b5d-4873-956e-81c0cf00e772 · inbound

The Hidden Threat in Plain Text: Attacking RAG Data Loaders cites this paper.

The Hidden Threat in Plain Text: Attacking RAG Data Loaders BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 29

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no resolver link, observed 2026-08-06T19:37:31.612720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:37:31.612720Z digest=sha256:acaa6b6543d04447d8728f76f71e76ed0fa6136dd5ab5bb6fb94f0853b5dc8c4

Observation bd98b675-2cd0-452f-9148-10e4c1c99f82 · inbound

RAG Safety: Exploring Knowledge Poisoning Attacks to Retrieval-Augmented Generation cites this paper.

RAG Safety: Exploring Knowledge Poisoning Attacks to Retrieval-Augmented Generation BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 43

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no resolver link, observed 2026-08-06T19:01:14.676455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:01:14.676455Z digest=sha256:0e11b9be3b1bb6e83e4c4325b11b49396c73ac4f0d2e162815cf35620c1c48a3

Observation ea27f41a-2e62-4e1a-8a1a-c919c5fc8c86 · inbound

DeRAG: Black-box Adversarial Attacks on Multiple Retrieval-Augmented Generation Applications via Prompt Injection cites this paper.

DeRAG: Black-box Adversarial Attacks on Multiple Retrieval-Augmented Generation Applications via Prompt Injection BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 12

Resolution
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no resolver link, observed 2026-08-06T15:48:57.340757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:48:57.340757Z digest=sha256:e7e3c824df2b5c6aff66e87737b9f99884f389686bc21c5e2e785683476cbde3

Observation da8ed986-5354-434a-80d0-a496ca3b8b19 · inbound

Safeguarding RAG Pipelines with GMTP: A Gradient-based Masked Token Probability Method for Poisoned Document Detection cites this paper.

Safeguarding RAG Pipelines with GMTP: A Gradient-based Masked Token Probability Method for Poisoned Document Detection BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 42

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no resolver link, observed 2026-08-06T14:42:08.191718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:42:08.191718Z digest=sha256:2414aa1b827d8951e9daa2aeb5c998b8165d778367aaab6289601cb9954c773e

Observation 08462dd7-d85c-4a84-a538-ed61b761a77a · inbound

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation cites this paper.

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 166

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no resolver link, observed 2026-08-05T20:31:48.207577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:31:48.207577Z digest=sha256:d03131aed5d4824fc221fe8d8443f5df8508da6542d49a819d0fb3d87736f11a

Observation 6dc4a9c9-443a-4cc7-a372-be7f1c2d2c19 · inbound

Fact or Facsimile? Evaluating the Factual Robustness of Modern Retrievers cites this paper.

Fact or Facsimile? Evaluating the Factual Robustness of Modern Retrievers BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 17

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no resolver link, observed 2026-08-05T15:09:22.340790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:09:22.340790Z digest=sha256:832c6fd6282384fdf8eea5616eefe561a16cb6941f961816eae6bd9f7bd89da1

Observation 0698889b-9b55-4363-ba93-fe97c98b0fb0 · inbound

Evaluating the Robustness of Retrieval-Augmented Generation to Adversarial Evidence in the Health Domain cites this paper.

Evaluating the Robustness of Retrieval-Augmented Generation to Adversarial Evidence in the Health Domain BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 80

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no resolver link, observed 2026-08-05T10:44:10.621289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:44:10.621289Z digest=sha256:8937fe9ff020d347093c756694faef27723dd7cfd7a5ed14869a310ba7101d18

Observation b26f408d-5189-41ab-a288-c7e12d97b416 · inbound

ImportSnare: Directed "Code Manual" Hijacking in Retrieval-Augmented Code Generation cites this paper.

ImportSnare: Directed "Code Manual" Hijacking in Retrieval-Augmented Code Generation BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 47

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no resolver link, observed 2026-08-04T21:33:59.967456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:33:59.967456Z digest=sha256:bbefeddcf8a7fa4641672714497050bd73ed6cb3744ead057e09f596ccfdd25f

Observation 3a168799-fe6d-494c-bb28-33b08b53e1ab · inbound

RAG Security and Privacy: Formalizing the Threat Model and Attack Surface cites this paper.

RAG Security and Privacy: Formalizing the Threat Model and Attack Surface BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 35

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no resolver link, observed 2026-08-04T15:17:39.491503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:17:39.491503Z digest=sha256:f8c85300f3c19bcced49f548ead95205f6e0ea5ff71866bdfafa31cba1b8a3aa

Observation d356bdc1-be44-41b7-b443-d3ac88d87d01 · inbound

Epistemic Bias Injection: Manipulating LLM Opinion via Selective Context Retrieval cites this paper.

Epistemic Bias Injection: Manipulating LLM Opinion via Selective Context Retrieval BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 11

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no resolver link, observed 2026-08-03T19:27:04.056271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:27:04.056271Z digest=sha256:f0a429ef7c35452dc110161d478da7a4cd9272d749e53d787c7ceac9426c4deb

Observation bc236d1a-094c-4300-ab84-70e0ffb8542c · inbound

Agents at Risk: How Users Unwittingly Undermine LLM Safety cites this paper.

Agents at Risk: How Users Unwittingly Undermine LLM Safety BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 36

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no resolver link, observed 2026-08-03T10:45:19.715096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:19.715096Z digest=sha256:ce6b5d325b57f6f74dea0246b48fe6d6fcd6ec861fedfe7f0a368485c15672e6

Observation 97e2bfd2-6c13-4d05-aa86-599386e4e2a0 · inbound

Catching the Infection Before It Spreads: Foresight-Guided Defense in Multi-Agent Systems cites this paper.

Catching the Infection Before It Spreads: Foresight-Guided Defense in Multi-Agent Systems BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:06:02.826341Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T15:39:32.595169Z digest=sha256:9eade5df4b5d36e59671dc9e504ac5089bb7cb3aec293c689130e9b3fa786857

Observation b44c9ca2-2724-483c-9763-091d363ca56e · inbound

Catching the Infection Before It Spreads: Foresight-Guided Defense in Multi-Agent Systems cites this paper.

Catching the Infection Before It Spreads: Foresight-Guided Defense in Multi-Agent Systems BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:20:58.075095Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-11T01:46:54.430546Z digest=sha256:b10e2f80a5c17376dfd9e44c742d859ff801a906653ce866d39792d6b373f805

Observation 55b8bb75-59f6-48f7-86ec-6c4871aa7226 · inbound

Catching the Infection Before It Spreads: Foresight-Guided Defense in Multi-Agent Systems cites this paper.

Catching the Infection Before It Spreads: Foresight-Guided Defense in Multi-Agent Systems BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-15T07:15:11.971658Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-15T07:11:16.568353Z digest=sha256:6184d01ba88142ed4d69c7af63c0ba8e7f2c28449dfe0a4e4f7d160156441d95

Observation 5c3a5328-e2de-447d-9e58-e1cc91352e7c · inbound

Needle-in-RAG: Prompt-Conditioned Character-Level Traceback of Poisoned Spans in Retrieved Evidence cites this paper.

Needle-in-RAG: Prompt-Conditioned Character-Level Traceback of Poisoned Spans in Retrieved Evidence BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 54

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:31:00.719023Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T14:52:32.202125Z digest=sha256:a93d663433f60d61e44c7b5c66e0fb991900e22cce57056f235b494e1ef17f0f

Observation 8e5ad112-4320-450b-87a6-d2e016e660f8 · inbound

MEMSAD: Gradient-Coupled Anomaly Detection for Memory Poisoning in Retrieval-Augmented Agents cites this paper.

MEMSAD: Gradient-Coupled Anomaly Detection for Memory Poisoning in Retrieval-Augmented Agents BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:01:14.200165Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-07T15:57:39.809778Z digest=sha256:55d48311634c520118daffe3d77783d42136d16f3cd42f11291887a1a8270206

Observation 6eb55303-672c-4096-b1e2-6793bb57973b · inbound

MEMSAD: Gradient-Coupled Anomaly Detection for Memory Poisoning in Retrieval-Augmented Agents cites this paper.

MEMSAD: Gradient-Coupled Anomaly Detection for Memory Poisoning in Retrieval-Augmented Agents BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:10:41.480515Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-08T18:50:41.401393Z digest=sha256:c508df3c6897a42f091e23416ad493f1406cb293e117f646fdcb0b23c9339acd

Observation 9b532e46-4267-4f61-b014-7bcec7b64b37 · inbound

ShadowMerge: A Novel Poisoning Attack on Graph-Based Agent Memory via Relation-Channel Conflicts cites this paper.

ShadowMerge: A Novel Poisoning Attack on Graph-Based Agent Memory via Relation-Channel Conflicts BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:37:06.910242Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-12T02:27:03.154390Z digest=sha256:36569a61935e9f650bc2e5797f10e1dbdc307a0a5795886878b038fd009beb6d

Observation 6b7266d8-8364-4ec0-96f7-3f3284ce1d61 · inbound

ShadowMerge: A Novel Poisoning Attack on Graph-Based Agent Memory via Relation-Channel Conflicts cites this paper.

ShadowMerge: A Novel Poisoning Attack on Graph-Based Agent Memory via Relation-Channel Conflicts BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-15T06:09:49.285246Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-15T06:09:36.338641Z digest=sha256:16aedbb2bcc61e0b5128bd64ae50ab663c04b09ce29f8b24d616725fabd8022c

Observation 47df3c3a-d0fa-402d-bb84-dec322ccf0a5 · inbound

ShadowMerge: A Novel Poisoning Attack on Graph-Based Agent Memory via Relation-Channel Conflicts cites this paper.

ShadowMerge: A Novel Poisoning Attack on Graph-Based Agent Memory via Relation-Channel Conflicts BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-19T17:42:42.322138Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-19T17:38:45.919637Z digest=sha256:818700d30ed3ca77ebaebf3c15a5c4c74eef1c4a35bf6a216d1ee7174dc9fd1a

Observation 4a43d873-cb4e-48c2-aed4-b37a706d047f · inbound

Oracle Poisoning: Corrupting Knowledge Graphs to Weaponise AI Agent Reasoning cites this paper.

Oracle Poisoning: Corrupting Knowledge Graphs to Weaponise AI Agent Reasoning BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:37:04.167030Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-12T02:27:06.805794Z digest=sha256:95c44880a4b8e12378f9a5c4182bb8bdc955951a2cbdb59456b71590eb157a0d

Observation bef98505-0f5b-411d-a8bf-a460bd48ddf7 · inbound

BadSKP: Backdoor Attacks on Knowledge Graph-Enhanced LLMs with Soft Prompts cites this paper.

BadSKP: Backdoor Attacks on Knowledge Graph-Enhanced LLMs with Soft Prompts BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:12:17.840776Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-13T05:10:11.345256Z digest=sha256:445442e90980dcd9b7806cc82af97fb60293d553725350195f4488f57d734517

Observation 70b3c23b-d66a-4024-b56b-75b3aea22579 · inbound

RADAR: Defending RAG Dynamically against Retrieval Corruption cites this paper.

RADAR: Defending RAG Dynamically against Retrieval Corruption BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-22T06:01:08.946270Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-22T05:58:03.701617Z digest=sha256:1caa196483bf5277f745c10ac807b952c845b70349ae3cf84e69bfc0ef13deb9

Observation eb22206c-65a4-4f8b-9a37-b080c9baabbe · inbound

SilentRetrieval: Hijacking Retrieval-Augmented Generation via Semantically-Preserving Adversarial Data Poisoning cites this paper.

SilentRetrieval: Hijacking Retrieval-Augmented Generation via Semantically-Preserving Adversarial Data Poisoning BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-06-29T11:53:23.276673Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-29T11:49:32.880569Z digest=sha256:cfca067c5094b5abf096d484e0949363e92b9042c4f64e21d01c184b158a2752

Observation 3f50070c-d0bb-4aab-a2ab-00f6a455b65e · 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 BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-01T20:46:13.965582Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-28T17:43:41.256808Z digest=sha256:c4d378a2648a63891265a20b866c2bb9e7f8bdf6926fbdf28bc015e25f7eddc1

Observation 98b64758-2bfc-4225-b2ea-c19ab634e4bb · inbound

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

ImageAuditor: Membership Inference Attack against Image-based Retrieval-Augmented Generation BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:26:29.518497Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-28T10:02:27.652157Z digest=sha256:f2303b172994acc45ea9cf7f491535404960230aeb07237af966c4cb499d2e98

Observation 2857d78b-0fdd-48b9-b79f-9b36cab6b428 · inbound

Evaluating RAG Reliability under Clean, Misleading, and Mixed Retrieval cites this paper.

Evaluating RAG Reliability under Clean, Misleading, and Mixed Retrieval BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-02T18:57:16.554219Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-27T21:49:50.544602Z digest=sha256:87634fabf86e383a5fe5dfa8ba4ae16247e1b50f8d2aa958f0a06246fbf03ad7

Observation 22ed9aac-637c-4036-986c-aba0c7161e10 · inbound

Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems cites this paper.

Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:08:55.781044Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T01:40:08.788224Z digest=sha256:cccc5d01928f88fb952d15da4e283390dca50a9e1041963a0c8bdb4d8323cb08

Observation e566a183-4f0b-456a-9d6a-d0607974a524 · 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 BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:28:59.101853Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-27T00:29:09.121399Z digest=sha256:ab13ee4bbda3279bc3019ea7b11161ec2b905174f2b36c569050038c3f3f3fac

Observation aa3bdd1d-adb2-447d-851a-caad10033dd2 · inbound

REALM: A Unified Red-Teaming Benchmark for Physical-World VLMs cites this paper.

REALM: A Unified Red-Teaming Benchmark for Physical-World VLMs BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:29:45.744501Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-26T08:44:45.853401Z digest=sha256:e7612013825d8d35d70187f9a1532859a0ac654455ecf327a962689e19ca5125

Observation 213c305a-3481-42fa-b2a1-101e37b2b6b3 · inbound

Security and Privacy in Retrieval-Augmented Generation: Architectures, Threats, Defenses, and Future Directions for Building Trustworthy Systems cites this paper.

Security and Privacy in Retrieval-Augmented Generation: Architectures, Threats, Defenses, and Future Directions for Building Trustworthy Systems BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:00:07.859278Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-25T20:56:20.603088Z digest=sha256:2d40140d1355316e8121cf222de737590439aac3ccc74cb9d7bfab6c89e8b48f

Observation 6e1ab760-3a35-4b45-ba72-c0e6102bcea5 · inbound

PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption cites this paper.

PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 128

Resolution
verified exact
arxiv_id, observed 2026-07-02T23:47:27.213076Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-07-02T23:42:23.695930Z digest=sha256:93810eedcf986c8562f8134030250afaf444bd99031ad0c50816fbc0dc3ad2ab

Observation 232c078d-9864-487a-84a5-2c5a3c7add66 · inbound

A Failure-Mode Benchmark for Polymorphic Sybil Poisoning in RAG cites this paper.

A Failure-Mode Benchmark for Polymorphic Sybil Poisoning in RAG BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-12T00:17:10.365724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T00:17:10.365724Z digest=sha256:f91ed61d74ab217c99b7d22cf1d4d09a0fa3f020f95bb8e89d28d2ef3298aa64

Observation d669d442-fdad-44ba-a64d-6e84070b1c76 · inbound

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

Large Language Models in Misinformation Ecosystems: Misuse, Defense, and Vulnerability BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 215

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T12:01:22.824663Z digest=sha256:7103952c96f395624f70558e828f54a0deeaddd24bce5e22ad30803bbd84bd0e

Observation 9086b9e9-e56c-4c1d-87fd-60e0ec848a83 · inbound

Salience Induction against Multi-Hop RAG Agents: Threat and Defense cites this paper.

Salience Induction against Multi-Hop RAG Agents: Threat and Defense BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-01T17:47:13.420601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:47:13.420601Z digest=sha256:22e37962b572c7b6f2ea9ea62196a12365c47d15652eb70a47b36124b63b86b3

Observation 773c8ce7-9fb7-439e-bfb2-53574988c585 · inbound

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

DenialRAG: Single-Document RAG Poisoning via Embedded Parametric Denial BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T00:08:56.979447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:08:56.979447Z digest=sha256:882f2526edf5130d1d470b711fb476102d3cabfa3fc8f6dee6c7148094a61a89

Observation 630011d5-95b3-47a7-90bd-cc0e7b280b2d · inbound

PURPOSE: Poisoning Conflict Resolution in RAG via Proxy-Fact-Grounded Updates cites this paper.

PURPOSE: Poisoning Conflict Resolution in RAG via Proxy-Fact-Grounded Updates BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T17:25:42.532072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:25:42.532072Z digest=sha256:3a3af652fe03fb23785bc86120f50d2516678a8e476adb5ad3c23950f9ed3e60

Observation ef5ad5f2-7b23-4350-808d-0ac5132f80f3 · inbound

Mechanism Design for Generative Engines: From Exploitation toward Win-Win Outcomes cites this paper.

Mechanism Design for Generative Engines: From Exploitation toward Win-Win Outcomes BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T14:17:45.914778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:17:45.914778Z digest=sha256:5da4bf5a2acda471344a1f700a796edd0f703fa8d4fbeed92d5ceb2ee90546b0