Paper Citation Record · LEDGER

Assessing Prompt Injection Risks in 200+ Custom GPTs

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2311.11538.

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

pith.paper-citation-record.v1
2311.11538 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:29:29.699348Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:59:20.702254Z

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 f53274ae-4509-4376-b751-6ffafe92a36d · inbound

Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI cites this paper.

Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI Assessing Prompt Injection Risks in 200+ Custom GPTs

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:48:47.423165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f6d8f368-5ba0-4d4f-ac7e-812b9012ab04 · inbound

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents cites this paper.

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents Assessing Prompt Injection Risks in 200+ Custom GPTs

Reference 158

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:36:57.227663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 155b2859-7109-4c9b-b735-81626ffc2eb8 · inbound

InputSnatch: Stealing Input in LLM Services via Timing Side-Channel Attacks cites this paper.

InputSnatch: Stealing Input in LLM Services via Timing Side-Channel Attacks Assessing Prompt Injection Risks in 200+ Custom GPTs

Reference 141

Resolution: unresolved; no resolver link, observed 2026-08-12T11:29:29.699348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5ff275b-5c23-43e5-a400-ddceadab0e1d · inbound

Too Big to Fool: Resisting Deception in Language Models cites this paper.

Too Big to Fool: Resisting Deception in Language Models Assessing Prompt Injection Risks in 200+ Custom GPTs

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T15:55:23.395099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d85b2162-33b8-4ec5-9eb1-cda53c06a1d9 · inbound

An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts cites this paper.

An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts Assessing Prompt Injection Risks in 200+ Custom GPTs

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T17:14:06.580235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38a07608-2cf1-42d0-aa0f-f8cc00630c4b · inbound

Peering Behind the Shield: Guardrail Identification in Large Language Models cites this paper.

Peering Behind the Shield: Guardrail Identification in Large Language Models Assessing Prompt Injection Risks in 200+ Custom GPTs

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:45:21.420207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a54c5ddd-84e9-4792-90b9-959a80102c65 · inbound

MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents cites this paper.

MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents Assessing Prompt Injection Risks in 200+ Custom GPTs

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T20:06:58.363694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 124fb2d1-84b4-4e2c-85d1-5f8a13c7549b · inbound

System Prompt Extraction Attacks and Defenses in Large Language Models cites this paper.

System Prompt Extraction Attacks and Defenses in Large Language Models Assessing Prompt Injection Risks in 200+ Custom GPTs

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:19.116843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f552dc1e-62ea-4c25-98a7-52282bd534c4 · inbound

When GPT Spills the Tea: Comprehensive Assessment of Knowledge File Leakage in GPTs cites this paper.

When GPT Spills the Tea: Comprehensive Assessment of Knowledge File Leakage in GPTs Assessing Prompt Injection Risks in 200+ Custom GPTs

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:27.958075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf71382a-183f-41ec-a4f9-7e9c25813947 · inbound

Privacy and Security Threat for OpenAI GPTs cites this paper.

Privacy and Security Threat for OpenAI GPTs Assessing Prompt Injection Risks in 200+ Custom GPTs

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:53.601723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a394ef7-c804-4ee1-906d-32494ceea756 · inbound

A Framework for Auditing Chatbots for Dialect-Based Quality-of-Service Harms cites this paper.

A Framework for Auditing Chatbots for Dialect-Based Quality-of-Service Harms Assessing Prompt Injection Risks in 200+ Custom GPTs

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-07T10:46:33.775956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9de387fa-9088-4852-b0d9-0c5adcd07de0 · inbound

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications cites this paper.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Assessing Prompt Injection Risks in 200+ Custom GPTs

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:59:20.705055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.