Paper Citation Record · LEDGER

LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge

As of 3 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2506.09956.

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

pith.paper-citation-record.v1
2506.09956 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:53:26.813252Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z

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 8bd715d7-f7a0-4256-bfab-ab909c2459dd · inbound

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

Exploiting Web Search Tools of AI Agents for Data Exfiltration LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T08:36:07.170207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 292d39a3-b66a-4fb1-91aa-cf00bdc3ac89 · inbound

Zero-Shot Embedding Drift Detection: A Lightweight Defense Against Prompt Injections in LLMs cites this paper.

Zero-Shot Embedding Drift Detection: A Lightweight Defense Against Prompt Injections in LLMs LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T09:53:26.813252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d87fb476-40d3-43b5-9864-1659db4bf32d · inbound

MIPIAD: Multilingual Indirect Prompt Injection Attack Defense with Qwen -- TF-IDF Hybrid and Meta-Ensemble Learning cites this paper.

MIPIAD: Multilingual Indirect Prompt Injection Attack Defense with Qwen -- TF-IDF Hybrid and Meta-Ensemble Learning LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T02:30:54.974967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 3de885e2-27c1-49ec-991a-3daa8b98d825 · inbound

IPI-proxy: An Intercepting Proxy for Red-Teaming Web-Browsing AI Agents Against Indirect Prompt Injection cites this paper.

IPI-proxy: An Intercepting Proxy for Red-Teaming Web-Browsing AI Agents Against Indirect Prompt Injection LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T05:47:21.331273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 97207919-4a37-43e6-854d-6c8ab4354425 · inbound

Hallucination as Exploit: Evidence-Carrying Multimodal Agents cites this paper.

Hallucination as Exploit: Evidence-Carrying Multimodal Agents LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-20T09:48:11.613289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a7576c63-1302-44cd-af45-633819c47b1d · inbound

Hallucination as Exploit: Evidence-Carrying Multimodal Agents cites this paper.

Hallucination as Exploit: Evidence-Carrying Multimodal Agents LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:01:20.082441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation afc290ae-49c2-4930-85f2-90a9ec026692 · inbound

Gate AI: LLM Security Benchmark Evaluation Methodology and Results cites this paper.

Gate AI: LLM Security Benchmark Evaluation Methodology and Results LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:46:19.219188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8230551b-af0c-437d-8d15-8bf36cbeea86 · inbound

Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation cites this paper.

Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-27T13:10:57.016363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation eeab99f2-73e8-4017-9379-4f198eb426cd · inbound

Confidently Wrong: Severity-Aware Calibration of Prompt-Injection Detectors under Attack Shift cites this paper.

Confidently Wrong: Severity-Aware Calibration of Prompt-Injection Detectors under Attack Shift LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:29:44.082630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation aeac695c-9b02-4acc-84eb-a808e7344957 · inbound

ContainmentBench: Trace-Based Evaluation of Post-Injection Containment in Tool-Using LLM Agents cites this paper.

ContainmentBench: Trace-Based Evaluation of Post-Injection Containment in Tool-Using LLM Agents LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-31T23:24:19.497728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.