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Paper Citation Record · LEDGER

Prompt Injection Attacks on Large Language Models in Oncology

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.18981.

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

pith.paper-citation-record.v1
2407.18981 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 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:52:05.003300Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T10:15:47.494998Z

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 57ce066d-7564-4d56-a8c5-872ebf198e89 · inbound

MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems cites this paper.

MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems Prompt Injection Attacks on Large Language Models in Oncology

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:05.003300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:52:05.003300Z digest=sha256:92a4b6cca1cd5f5f7b2a23964ae515a4b142f3bbc83a84accab105f99c84480d

Observation 9732e15e-f84a-4869-bcb7-971ddf5b762b · inbound

Manipulating Transformer-Based Models: Controllability, Steerability, and Robust Interventions cites this paper.

Manipulating Transformer-Based Models: Controllability, Steerability, and Robust Interventions Prompt Injection Attacks on Large Language Models in Oncology

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-05T10:15:47.498881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:15:47.433840Z digest=sha256:9d4198cd083fb527ae98668348ecd5e8a27028516952e364ed845d408055c917

Observation 3b6fa656-4f8b-4db8-b93a-60076a35138b · inbound

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses cites this paper.

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses Prompt Injection Attacks on Large Language Models in Oncology

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T09:25:38.152499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:25:38.152499Z digest=sha256:37d66b0a3cafd3c61a2febe348c8b6a25eaa8df78473bc12865a80de1f098db1

Observation 96fb7cef-c592-4290-b91a-150d64bbafa3 · inbound

How Well Do AI Systems Solve AP Physics? A Comparative Evaluation of Large Language Models on Algebra-Based Free Response Questions cites this paper.

How Well Do AI Systems Solve AP Physics? A Comparative Evaluation of Large Language Models on Algebra-Based Free Response Questions Prompt Injection Attacks on Large Language Models in Oncology

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-15T13:15:31.225992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T13:15:31.225992Z digest=sha256:1f30dd76e49ff774ba60aa3d10c884245b2a616e390c9bec1a6cb66a092bdb8b