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Paper Citation Record · LEDGER

HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2410.22832.

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

pith.paper-citation-record.v1
2410.22832 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:40:41.768045Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T20:46:13.936668Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e9f0dacf-bd42-4881-a893-88d8d080b5c1 · inbound

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation cites this paper.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-09T05:31:14.470981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.470981Z digest=sha256:2ad7faf0bd2dee62f2235c10ff33b348f98643b62f9ef938f9b1b8b785394a45

Observation 0e01d504-c607-4e9c-b12b-fe1c1033bbfd · inbound

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey cites this paper.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-16T11:40:41.768045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:40:41.768045Z digest=sha256:c960244a7567cb32c81ea82c5aba0dd1068868f13b072f2fdffc402a467d53e6

Observation b683d1ee-0ea9-4e05-bddb-75b30b65daef · 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 HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T22:43:05.989110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:43:05.989110Z digest=sha256:4408357e38e95dd415ace112c03a3b49a552991de1af7ab45469bcd942f1cd0a

Observation 99ed25c8-3d2c-4367-ac4a-cbd6b162c64b · inbound

One Shot Dominance: Knowledge Poisoning Attack on Retrieval-Augmented Generation Systems cites this paper.

One Shot Dominance: Knowledge Poisoning Attack on Retrieval-Augmented Generation Systems HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-22T15:21:44.821076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T15:19:08.867224Z digest=sha256:7c0f4ce0bc695535b01a06e6a8b43471ebe1c6387c2ed6e90c604b350cb3a208

Observation 72a4c8a2-d4b4-43e3-8418-316624126672 · inbound

Chain-of-Thought Poisoning Attacks against R1-based Retrieval-Augmented Generation Systems cites this paper.

Chain-of-Thought Poisoning Attacks against R1-based Retrieval-Augmented Generation Systems HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:01.505577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:06:01.505577Z digest=sha256:c0f23f4d4a1f3f53db81fe04d36e96fcccc48f123577c7638ed096162b294c09

Observation 762e2534-1435-43ae-8809-1f94fcf01c5a · inbound

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

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:00.474010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:00.474010Z digest=sha256:fa870109b70213e756d7c3ef2b96b22a66a88b731b9825c0ffde64a1880c1f0d

Observation f4f147ee-0ad1-4b5d-a07d-5de93edcfcc2 · 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 HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T14:36:35.388751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:36:35.388751Z digest=sha256:f29cd6d4966857b7657f2a49d1e479c93be0a57ce199125dbbd0b919e9fe4252

Observation d40f98a0-a812-47e0-bbe5-9acf560065e1 · inbound

Quantifying Conversation Drift in MCP via Latent Polytope cites this paper.

Quantifying Conversation Drift in MCP via Latent Polytope HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T22:51:28.181829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:51:28.181829Z digest=sha256:7e6fa45019c0e9494c70c0b33ee0cabb64bcfe56c6ff471fc7e6549ffa772e9f

Observation 87f7df2a-d8fa-490f-a266-324501ec82be · 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 HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-05T10:44:10.643154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:44:10.643154Z digest=sha256:28d5fab895fc26fc2f1b29d32d280ed2d109f272a0e445b4c2f07e16a6bf9ed2

Observation a04274e4-9433-4826-aba4-51a7f5a1e2c2 · inbound

AdversarialCoT: Single-Document Retrieval Poisoning for LLM Reasoning cites this paper.

AdversarialCoT: Single-Document Retrieval Poisoning for LLM Reasoning HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:56:03.810680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T16:22:49.133595Z digest=sha256:e9599b78cf4279af1cfbe544b9e5177552bd14e7c22c60b9bc288a257bd7f6ba

Observation 1954d179-8bf4-4706-b5b4-c05d429b1548 · inbound

A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface Framework cites this paper.

A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface Framework HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T20:51:09.583171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T07:53:13.746141Z digest=sha256:82267c59184f5ac820d78b43c2f6ba7839aa9373cb6cbb4c9624c44080b07797

Observation 9a34d813-723e-4bb7-b3ef-dc30369ebb1a · 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 HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models

Reference 46

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T20:46:13.938537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T17:43:41.256808Z digest=sha256:ee13457f68f7c9f20af81891711d8a091e02b45841af33b49fba3e667c5ff60a

Observation b8461c94-543f-4e52-a0c1-fbff92a17505 · inbound

Agent-Native Immune System: Architecture, Taxonomy, and Engineering cites this paper.

Agent-Native Immune System: Architecture, Taxonomy, and Engineering HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T17:25:50.833782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T03:52:12.822155Z digest=sha256:de5f61349385f78a861cefa0875681643fed2143df50feeb7a8fd6e997914fe4

Observation 5e5a0573-e736-4851-be8f-dcf51e483028 · 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 HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T17:25:42.722923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:25:42.722923Z digest=sha256:d41608be48a8e2881a65dca8e9bd7e3c356d9ae7ff59656470f9fef42f263a86