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Paper Citation Record · LEDGER

HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:25:42.722923Z

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 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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T15:19:08.867224Z digest=sha256:9b74f392cfddca89b32bf81b8d784f0899e2b3e55d8f40e7e5c92f8ce4d7cb8e

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=sha256:9d1122eecdc1d14229bbfd21ea4f0d0ebbba8920f1393543be27d4c64d000350

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=sha256:6c982ef73faf5344248ba8697ea8fb17776cdd8fccb68b0a4d628f0afd699ada

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T16:22:49.133595Z digest=sha256:0050bcc9fad5d48bb35f42f2a9babe266b93187bc540b52790a48d17969605ff

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T07:53:13.746141Z digest=sha256:09c81cde8713a238f30720827fa08037687ce02cf590678de854e862cb52811a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T17:43:41.256808Z digest=sha256:ab8f5aaa8c94aa5cb9a649e7cd9041c776b3f715e6cda695984c7cda88111741

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T03:52:12.822155Z digest=sha256:16d50410814e2a514eb09f8f727b538b01337b3cfa0d64f403644d4e55100fb6

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:bfa8bb97c6bef7e377e7b1e01f6f527395421eb33a94a938aa78c4cd2bcb2771