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Paper Citation Record · LEDGER

Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:34:04.667309Z

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 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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T04:39:04.591722Z digest=sha256:5833f605444e62afb393f685bf57085749f0a2fafbb1d6d24fe5a1bf65a231c7

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.

source=pdf_text observed=2026-08-06T16:34:04.667309Z digest=sha256:279061eea0032ff33572dc19ffdd77fe0bcd7e69e58b2947caca7ad38617ddd8

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.

source=pdf_text observed=2026-08-05T20:31:47.179130Z digest=sha256:d916acc7bdb955585096323783bf77e1a8510d573db6daed84b584b8dbdc4e96

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.

source=pdf_text observed=2026-08-05T22:07:42.380854Z digest=sha256:721801c1cd57c799c090f0ea0838da51ba9caec45a515d9a9016c75cad0b3385