Paper Citation Record · LEDGER

Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.17196.

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

pith.paper-citation-record.v1
2404.17196 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:40:19.198832Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:42:33.827526Z

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 55af2762-3ef9-486e-9909-049558c871fc · inbound

On the Validity of Traditional Vulnerability Scoring Systems for Adversarial Attacks against LLMs cites this paper.

On the Validity of Traditional Vulnerability Scoring Systems for Adversarial Attacks against LLMs Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications

Reference 160

Resolution: unresolved; no resolver link, observed 2026-08-10T23:40:19.198832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e1efca5-eb5a-4bbd-844a-a416b13b7bf2 · inbound

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety cites this paper.

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications

Reference 155

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:42:33.830584Z

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.

Observation 63b2feee-37d1-4a76-9146-2dc701b5e692 · inbound

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations cites this paper.

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications

Reference 105

Resolution: unresolved; no resolver link, observed 2026-08-09T00:50:00.448616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb31b710-e5d8-497a-9bb8-b335be88601d · inbound

Prompt Injection 2.0: Hybrid AI Threats cites this paper.

Prompt Injection 2.0: Hybrid AI Threats Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T16:34:04.667309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef2e4133-6a35-4bbc-9ad0-bd22aa77e724 · inbound

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

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications

Reference 159

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:47.179130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85c35185-f384-4a9f-8229-133d41cc3ed6 · inbound

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity cites this paper.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.380854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.