Pith. sign in

Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 51 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 51 of 51 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 51 of 51 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:29:49.926458Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • 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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T21:08:11.787013Z digest=sha256:765c2e359d13d14acfc6f65e9a4798d7c76ea3bb0adee30015bc3b5d57033157

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T06:39:36.039613Z digest=sha256:d7597a8bcf438439375e74aaa8077529dddf60d46dcb7b8123b74e355e0530de

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

Resolution
unresolved
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=sha256:2c8271d6c07fbae41136debc907b36be86035818591a3177fc47442f66ba3ea8

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

Resolution
unresolved
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:f87f4d1b38965ff1c6ad977edef599b8d38245921dd9c44abe538eef19e8ce5e

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

Resolution
unresolved
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:c52670639a57f943864d0d6bef0db488c41319802a06e226c198322d07e53e20

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
unresolved
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:cbef8a79b4a5a786c58fd98f02aea1d0f21abaefb66524287bd4196707bcdc75

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=sha256:32350501d80849d3b7e09791a9cb36376974f97fc2b61d247a5859219edf14b7

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
unresolved
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=sha256:63c28a1a9f74b8645cf407b85d36edf68fcb01ad4578be15e4b00d33589abc61

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=sha256:43d6b6d5f1ab58896e58d0876e26348ec7fb895b199fa5fe10b1de96efa29bf3

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
unresolved
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=sha256:4e7feb51af58a0d46f242cfa59e7018bc3fda97c3bfb46e30df8bda6d111ca5e

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
unresolved
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:dddadcbff9660c48d814283a8b5ffaded968dd57cb0dc3d168080362fa91f333

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

Resolution
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=sha256:578715c18534257b51febbbacd8dac21c6e176b403c046113ec0ff33e1dee3c7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T11:52:44.990234Z digest=sha256:5272f43dca697deb73d18708578cca8e2dcdffb06328715f48eeba8ced682634

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

Resolution
unresolved
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=sha256:1ca794aa521d53c9f687295e6f3d5a4bd282d72f20cfd9835fa6d94d3dd67e88

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

Resolution
unresolved
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=sha256:335266e65cbc7cea3a10c281e131f7b8e1f34b41bf09e0760091f342eae804de

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

Resolution
unresolved
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=sha256:636095cf6af5987166571034faa9d69a13c1f87a1ad8e723c51c7ffd98d9ebeb

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
unresolved
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:fc92292266cd495b261a24921872cf326763c4bb1ab27420b6ecf5c2825d6d44

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

Resolution
unresolved
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:d3085db4dd885204db44910190dfec7f61e136c54b54c0670e42067d66c41252

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

Resolution
unresolved
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:a8dac8a5bb72968c5f3eab8a525141172f74ae78040dc3fb37fd062b11128bb1

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

Resolution
unresolved
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:be4a642981e20298a2fa1d6868b09018e7f3adc06237b1add3d60a7ae7c5dd8a

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

Resolution
unresolved
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:dd93c0695e90947dac9d927ff0e59b550f32bebc2f934be286cda65dea3f45a1

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

Resolution
unresolved
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:a0ce08b6fa485b04149b39cc7eafda2a3024bdfb412adbd8d7d419d483581415

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

Resolution
unresolved
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=sha256:74c0b2c3e56a6b24d7c5e5faf6a2f95674eca59668bb5a2139d3ada0614f8565

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

Resolution
unresolved
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=sha256:35089c4b7a90a2c0cbe1b0d52614267807899deeaf62d525cec7e125620b89ad

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

Resolution
unresolved
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:f863c7292d6fa6de86839923533136261189b19bba7fbc4d99e118aaf15bc120

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:39:32.595169Z digest=sha256:d398f1edd13bd360b81c43429847625c6d62a955fd0c96843590259af298cf5b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T01:46:54.430546Z digest=sha256:679ade67298aeaf621d537142d57eac89316230b265c8a901c488b888d9673c7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T07:11:16.568353Z digest=sha256:ed1f88f48ad28c5e5534bc39e1b9676393aae5e3e6b86419e1eac4735b0c4bdb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:52:32.202125Z digest=sha256:a6fdcb6d7e9dc8f96a582cdfc4a21626967f572316cebe5937658d05cd40fab0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T15:57:39.809778Z digest=sha256:0e2fb3c0194cd75f2d7546b2d34b4faab3de773b92577ed3fd506e7c63c445ac

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T18:50:41.401393Z digest=sha256:a15ca5be86e98da2ba05721e068a685fa94667ec27d2760cdece7a47be56bed1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T02:27:03.154390Z digest=sha256:4f85313768b90b2b2f0ebdd82010e9599f1fb18077c4e4782d2fd151e505ee21

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T06:09:36.338641Z digest=sha256:b1cf555e595510f603c1c8721eaef3b008980ffb7598b291fe1b6416c3b741c6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T17:38:45.919637Z digest=sha256:a5c3f12da3e2b8a6bbf7b1e9c51e8b5d879518e05a589fc6544a8fa27cc3c412

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T02:27:06.805794Z digest=sha256:14a19d978031faa368ca537c6204e78d2d98945b24005b612607d020a8bc63f3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T05:10:11.345256Z digest=sha256:82aba9b2d124b1697736ebb523da34aed025919b3ffb7b57a458ef2cbe255107

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T05:58:03.701617Z digest=sha256:3e8ee5feb810d9915933f92ed2ad1c3fc093d95dda1973d661b829e980c15d50

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T11:49:32.880569Z digest=sha256:6cd9bd0274fc15c68675eae61ff814fd7b01c207322ba546421247aa00315baf

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T17:43:41.256808Z digest=sha256:e6b186e0b8b4e69e0f41d51bd7fce2feb5af06e00095c20089912d4fb72e69f3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T10:02:27.652157Z digest=sha256:5790105ea5883174bef14b49a308f03af3be943bf2109b87dc8e8de1b7007022

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T21:49:50.544602Z digest=sha256:c12c7380d92043fdd59533f325609a274b5cb4ce0673ec44ed923612111e4537

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T01:40:08.788224Z digest=sha256:e48b0870bd67a35adc0b52e5b6989a37096c51525d30095495fef3a4069983ae

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T00:29:09.121399Z digest=sha256:a1143396b7292eb0b0c9d903298a68e7777293f67772b31476157e6bb07d6132

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T08:44:45.853401Z digest=sha256:3b59220072d267c3ec0ac910285e1661917df55eae0f9d3dbbf2749900c69df2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-25T20:56:20.603088Z digest=sha256:f2464b759c7c87953cbc5d05df94b30a4c25e4d665af994d52fb3f1ef38e7312

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-02T23:42:23.695930Z digest=sha256:3b233ef69355e428f00d4b84cd966a407f346813de0c631445f5e07d0b16a280

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=sha256:7af3b942a2046143493634feaffde2adce4dba4bbb7996e727c69eb41087e3cd

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=sha256:875f0b599fca2cf60de2d09a0bfe34a3342bba9d864260d4b76c48f6596f7d20

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=sha256:018c70a8bce68e110faece01135120ceb9626a9bb67d498b846237c0cd84f168

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=sha256:1a4f8a929cd7b7fba8ce08e9243c9ed31b6c916cd7bbf755ca3723b6dfd98ecd

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=sha256:27e55271b91566c8751299d21359ebea4a1f132ec44dc2dd65f042afc7416c70