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Paper Citation Record · LEDGER

Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2410.14479.

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

pith.paper-citation-record.v1
2410.14479 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:14:46.434090Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:00:07.866116Z

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 1d6661f3-e445-4b1e-ae63-a333c08723e9 · 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 Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:46.434090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:14:46.434090Z digest=sha256:8b2e9c795e0b7b24c31844ccecfa733bb9bb81fefc2cc02b15823278cdd0880d

Observation fbe5eca5-fc2b-4390-98d2-c32b7d9b82ac · inbound

Prompt Injection 2.0: Hybrid AI Threats cites this paper.

Prompt Injection 2.0: Hybrid AI Threats Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T16:34:04.853306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:34:04.853306Z digest=sha256:f4f0c7ed008d0af78ac24a34053c962934e505b2f95c93ee0affc4662e13ce2b

Observation 4ab79429-2090-4aff-a4b6-e11773c33e1e · inbound

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems cites this paper.

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models

Reference 164

Resolution
unresolved
no resolver link, observed 2026-08-04T17:46:19.413492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:46:19.413492Z digest=sha256:50ee2dbd764474a6eee9df0b7aeeb384132b512529d12ffb068a08955169d167

Observation eb5cfe47-3687-45c3-85cf-979f647db8a6 · inbound

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges cites this paper.

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models

Reference 78

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T03:42:22.290794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T03:42:10.703369Z digest=sha256:fa8fa7ce884967f43466acfb73db351c8822f138d83fe6f8d01304714f0a2dbf

Observation 9b462944-fff8-420e-aa02-f5cdb23d2671 · 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 Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:31:00.697621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T14:52:32.202125Z digest=sha256:68bdc1fda097f5939aa3bc68ed4feaec9fcb9f6b645fefb74473ea7d33ffafad

Observation f043f691-4740-4383-b75b-439af701a9a5 · inbound

Injection-Execution Dissociation: A Mechanistic Evaluation of Persistent Memory Attacks and Defenses in Stateful LLM Agents cites this paper.

Injection-Execution Dissociation: A Mechanistic Evaluation of Persistent Memory Attacks and Defenses in Stateful LLM Agents Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T08:06:28.707130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-12T01:19:06.063083Z digest=sha256:d713e529fb49d4720e7352064c8103379aefd3a95f67de93e48da1d8293123d8

Observation 4bc2fc6c-adb8-4cfd-a332-e3f4bd904f9b · inbound

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

RADAR: Defending RAG Dynamically against Retrieval Corruption Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-22T06:01:08.985261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-22T05:58:03.701617Z digest=sha256:be32802c7414d2ed0e7c0ec35f0ced7200fc509e676fd4379062aec8ca0ba749

Observation 5bf07e60-3649-47ad-a777-03809ed0b01d · inbound

Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs cites this paper.

Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T01:07:30.241514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-27T16:49:14.243931Z digest=sha256:6d61e40d8a685582f62bf99e95b2cb97939d6c26bd1b3a649dcf696ba06321a5

Observation 71b3e8ab-d0e1-4f78-9900-ac93c444346b · 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 Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T21:28:59.086706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-27T00:29:09.121399Z digest=sha256:b16d47cd3713bd4fbcf6772d709abad77d2011eafde6c94883fca000d426b9f1

Observation 1804f93f-2278-44c8-976e-d1911ae725ff · 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 Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T20:00:07.867849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-25T20:56:20.603088Z digest=sha256:e501366aff97aa6fd9b6dff21c93f028c39ca83f71334a177013f29d0e11771c

Observation 8298ae29-1636-4963-a3be-37ef7b13a909 · inbound

Agent Security Needs Redefinition through a Holistic Framework cites this paper.

Agent Security Needs Redefinition through a Holistic Framework Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models

Reference 293

Resolution
unresolved
no resolver link, observed 2026-08-01T06:04:46.721338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:04:46.721338Z digest=sha256:7449508926e7c336a9bb39fcc105ac81f9b9299fb26be4e2ad3750f737fd69ef