Paper Citation Record · LEDGER

Vocabulary Attack to Hijack Large Language Model Applications

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.02637.

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

pith.paper-citation-record.v1
2404.02637 v2

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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:34:34.614961Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T08:36:07.220539Z

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 33461e1a-ba70-45c1-a891-bf779326f80d · inbound

Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents cites this paper.

Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents Vocabulary Attack to Hijack Large Language Model Applications

Reference 136

Resolution: unresolved; no resolver link, observed 2026-08-12T20:36:01.939309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f980cf6-97ef-419e-80ae-dfda0790b972 · inbound

A Survey of Attacks on Large Language Models cites this paper.

A Survey of Attacks on Large Language Models Vocabulary Attack to Hijack Large Language Model Applications

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T20:34:34.614961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b64e59f4-f3b9-4b59-8d0e-9b4c26a21346 · inbound

Exploiting Web Search Tools of AI Agents for Data Exfiltration cites this paper.

Exploiting Web Search Tools of AI Agents for Data Exfiltration Vocabulary Attack to Hijack Large Language Model Applications

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-18T08:36:07.224330Z

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 a6fe992b-0ac1-472e-ba09-7a1dc92b4a3d · inbound

MIXAR: Scaling Autoregressive Pixel-based Language Models to Multiple Languages and Scripts cites this paper.

MIXAR: Scaling Autoregressive Pixel-based Language Models to Multiple Languages and Scripts Vocabulary Attack to Hijack Large Language Model Applications

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:46:06.627810Z

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.