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Paper Citation Record · LEDGER

Misusing Tools in Large Language Models With Visual Adversarial Examples

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2310.03185.

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

pith.paper-citation-record.v1
2310.03185 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:38:17.379148Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T06:35:13.392794Z

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 22929a5e-c96d-4f5c-b69b-781da42f1b5e · inbound

AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents cites this paper.

AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents Misusing Tools in Large Language Models With Visual Adversarial Examples

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:35:13.396512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T06:35:13.331872Z digest=sha256:1ca477c8e26f635806e50e0a960b098c125a9ecb2f6a6f9d3e3a3f09953b0655

Observation 715f514c-6c7c-48bf-9423-830233b485fc · inbound

When Data Manipulation Meets Attack Goals: An In-depth Survey of Attacks for VLMs cites this paper.

When Data Manipulation Meets Attack Goals: An In-depth Survey of Attacks for VLMs Misusing Tools in Large Language Models With Visual Adversarial Examples

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-08T15:38:17.379148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:38:17.379148Z digest=sha256:1828777ba5c8231c30aaa0ce39ac55c44ab79c236563a1eacaec6357fd63ee82

Observation eb13a3ce-6984-4632-97c1-5c229337fb13 · inbound

Towards an AI co-scientist cites this paper.

Towards an AI co-scientist Misusing Tools in Large Language Models With Visual Adversarial Examples

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T13:02:44.386342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-11T13:02:43.571234Z digest=sha256:56043ca0ead3892020beb2c0cdbd0f0223f3feb71814156c00334b0b0696c702

Observation 6f807f7f-987e-4af8-81e5-eeba44f3c138 · inbound

Design Patterns for Securing LLM Agents against Prompt Injections cites this paper.

Design Patterns for Securing LLM Agents against Prompt Injections Misusing Tools in Large Language Models With Visual Adversarial Examples

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:06:14.879856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:06:14.879856Z digest=sha256:52d0183a74438338de60b16f09f4c038c95b5611adf2e5412e3c78d5a7575525

Observation 6937ca65-17c2-461b-98d4-ea5cdbc12625 · inbound

Prevalence of Security and Privacy Risk-Inducing Usage of AI-based Conversational Agents cites this paper.

Prevalence of Security and Privacy Risk-Inducing Usage of AI-based Conversational Agents Misusing Tools in Large Language Models With Visual Adversarial Examples

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-04T07:01:15.693052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:01:15.693052Z digest=sha256:135787db2804b99589cd92f0c3666b139c9cf1568e7ed9863bfe4d6f174c112b

Observation 521813c9-5b18-488e-aaf1-ea9268550fa7 · inbound

A Marketplace for AI-Generated Adult Content and Deepfakes cites this paper.

A Marketplace for AI-Generated Adult Content and Deepfakes Misusing Tools in Large Language Models With Visual Adversarial Examples

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T10:46:21.895670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:46:21.895670Z digest=sha256:19d47c289966b824de16834bbf29dec96c1f094b71baaf35a1f02a124ecc0d33

Observation a059847a-12e6-4e46-8bec-787a06e64cdc · inbound

From Storage to Steering: Memory Control Flow Attacks on LLM Agents cites this paper.

From Storage to Steering: Memory Control Flow Attacks on LLM Agents Misusing Tools in Large Language Models With Visual Adversarial Examples

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-14T20:40:43.875392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T20:40:43.875392Z digest=sha256:209fe12afcd156a848de49ca0e08acba3cbaa4726481ef20066e7769d8dcc8d5