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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 48 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 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 48 of 48 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:41:04.455697Z

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T21:08:11.787013Z digest=sha256:616d80859a3fbaaefb98a99d53692ef0b54382ba47e2d50d5eaaf483917977b6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T06:39:36.039613Z digest=sha256:0af9f19e0126e3bb5330210259464820525a8f557825e426c92e3dcb8a9c5e23

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:bdf3c2fa74b00ae19a510df6df4e7d0b04cf18ea62977ce31e7b69d057c61adb

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=sha256:2527320deca4b4bbadadd78c4e8e3c09cb7754cf9333f3dab6849c1d29e585cc

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:a9cc264653e07117667b34c5e1029a6bcb516ecd9868db0d897c2d5cbf05e72a

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=sha256:60398b069f3416280ea29ad5a0bcbf8d02be38c88e0bcb50458c8a3e0e3e12f0

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=sha256:2fbe44ba836d5d5f134b99c7387d45afaa88f31fc6eb1df2d7b6a924a4e395c7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T11:52:44.990234Z digest=sha256:46d9e05c0795f2ac2860fc9de71587a85036d85ea71427872ecca6905f769014

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=sha256:471fa0df5f625341915ee9c2c1fad09eb798462122ae9fd795a77256653d7ce3

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:e2f148a6db7ae2b59d7f7f743ae2c50aaf8e302a8dc0a7a7d174a3afddc5eca0

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=sha256:4a2420ffdd1e8fa83ea937d80d4e8e577a21155e127ba3561697b439de061ad3

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=sha256:3e484020810acb2ea9733cebd5dfc6dda8d5e0dbe61e60558ede53cfa35aceb8

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=sha256:1ba596a970c8da3367a0166d7f0c6bf23d3449cc821723616fc1abf0ba119bb7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T15:39:32.595169Z digest=sha256:781821bbf3ed983c096b14981883c66d7805092f9f511f03b25b87b1ca7b86c3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T01:46:54.430546Z digest=sha256:9da573912e7a783a5469deed524f3675342d8b4ecd15a0155811d8baf69ca381

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T07:11:16.568353Z digest=sha256:bdc589eb56d65f88c76edc1bec03a270561c4fe740773aaeb69663bb7d8f2406

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T14:52:32.202125Z digest=sha256:f5529672f21b11d43e6cdc49cbd398b94c68ff6d3c72d8b775ba2c9ad150cdf0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T15:57:39.809778Z digest=sha256:365ba92ed4f6fb628c225fbfdb8751c8e71d709889224a5dcb13ef020b0759b5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T18:50:41.401393Z digest=sha256:369fea394af6c3c0b2cb36f11070e9029ba63574cfe5f1778fa7532efb8de3a1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T02:27:03.154390Z digest=sha256:3a30da2086b319faf864630e20fffb5cf374d0bc7e4a716dce00a72f41e22f0a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T06:09:36.338641Z digest=sha256:682b84d85bb276dfbf5d5b46e03dd93a1604d5448a0e8345b503571682e4f6c6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T17:38:45.919637Z digest=sha256:9672c4422cd5adbfa27e9cf2117b4607ba149b8d0870d713c9a872e9601f609c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T02:27:06.805794Z digest=sha256:fdbc79fca918583b887bfdc2696f1b13458ecbc450be90c778b1ec2a48502340

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T05:10:11.345256Z digest=sha256:fc04138fee15471969a1d8059bbee210002c239a38aeb7e86ada6c5e4ed4d8b5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T05:58:03.701617Z digest=sha256:c8025d777892760b5ebd9c30ca36782433c0356dbad9aa9ece04452473ef52f4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T11:49:32.880569Z digest=sha256:60941a7ce1ab884ffe8c2bcf7ff35abcc480fa49735eaf8148e784151eed04c5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T17:43:41.256808Z digest=sha256:024baccbacd456fc67ec6a6ebcf4d3d7e5fd0129328e82cdcccaddc2c8e225f5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T10:02:27.652157Z digest=sha256:da28f13e33f98c3bf3631384e905f1ec22b9c026f57e270f882f90712020b134

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T21:49:50.544602Z digest=sha256:ae0edc9c8f3b75800209c1cb0c2f174af73cf867eb6d99c95b3ea0590b201e8d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T01:40:08.788224Z digest=sha256:4c6e113a065a6e5d474a05735edbb74b3989e5e8bfe27c28a51da865842447d7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T00:29:09.121399Z digest=sha256:9967bd648842db35b4f1a3a2db223486d8a505a631bf989fa17aa011c836f6a6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T08:44:45.853401Z digest=sha256:f4b33ad885642aa4a58ad48f83a01b4eeda8d96a0897c8f7d66aeed5c257ab92

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-25T20:56:20.603088Z digest=sha256:da812270135de54722b4a6e464b7ad4bef37f07133cbe72e5e51e42f19a9a869

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-02T23:42:23.695930Z digest=sha256:2d1c78ec212e9dfb336ba27780ab34b9203bf63bea9657db65031cb861734d22

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:bbf105a6f8f1321cf292030c71cf73158ba83540c06d2ba6765fe03f76ce2e71