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Paper Citation Record · LEDGER

Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2407.13757.

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

pith.paper-citation-record.v1
2407.13757 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 2026-08-19T06:32:44.657259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:43:05.992688Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T05:55:59.739351Z

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 aad20f7b-36f5-419a-a4d4-7bead9f01113 · inbound

Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems cites this paper.

Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T17:59:56.161254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:59:56.161254Z digest=sha256:98cc79fe4fec5bbd15aa26535f49205b1c48322a7fe02eea04ed81c2254e6b26

Observation aa1ba9bb-0ebc-4c35-be0e-8a086663b526 · 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 Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T22:43:05.992688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:43:05.992688Z digest=sha256:0fcf2421bed1cee38e4541c3aa7e70260214623d88e68d396918da83412087ba

Observation eb943180-524e-4730-9626-5c67dad856d7 · inbound

Safety Degradation in AI Agents cites this paper.

Safety Degradation in AI Agents Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T15:41:04.216564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:41:04.216564Z digest=sha256:346d093fd43a4c90e3132ecd569521f017759e0998c4ae52b07c65b613dbbe21

Observation d7e087c8-e0f5-4861-9069-6e7a7d7b40b2 · 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 Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T14:36:32.957279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:36:32.957279Z digest=sha256:d3ebb0db57346aa77cdb23395c3758ab84bbc993128a42df7f7849dfac09b74d

Observation ec1a9d1d-f68f-4567-8969-46f2f17fb34f · inbound

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation cites this paper.

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language Models

Reference 165

Resolution
unresolved
no resolver link, observed 2026-08-05T20:31:48.089079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:31:48.089079Z digest=sha256:7daac9695304e1a80f3b08bee3697ee998bf3bc687ac34f26751d82ac1296f4b

Observation 1501b7da-3612-4d2e-b8ab-05595c0675a8 · 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 Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-04T17:46:15.123368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:46:15.123368Z digest=sha256:b687daa9a5b3ab889f705bbd2431d8081fdbb096f3d688135198d8770b59b51b

Observation 2ba2fcae-cae6-49bf-9236-dabb0a243bbc · 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 Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T15:17:39.427473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:17:39.427473Z digest=sha256:0b0f73dc0bf5313e23c467488ec156e6dc20bac835f897e139f1803e5fc8bb4c

Observation e50af0fa-a620-4b68-8115-1f3953f51df9 · inbound

Securing Retrieval-Augmented Generation: A Taxonomy of Attacks, Defenses, and Future Directions cites this paper.

Securing Retrieval-Augmented Generation: A Taxonomy of Attacks, Defenses, and Future Directions Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language Models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:55:59.749566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T17:52:26.611656Z digest=sha256:b77da21c322b99f275b3a6a0bfad1e4143c5c9ca295acc11b84cf5dc5ed058df