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Paper Citation Record · LEDGER

Assessing Prompt Injection Risks in 200+ Custom GPTs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:28:19.116843Z

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T02:48:10.934475Z digest=sha256:2db8ce2891866b48962c31652d69530ea467c83153843201b898abe69de471f9

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T13:36:57.011451Z digest=sha256:cca3de0f251475719bc80ea9f36f74d6e7516f907609a6a9ce51760ebe9edad8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T03:45:14.234545Z digest=sha256:2d8f4994b05f27457a43269f7a123abbb69c1f7a25cd746c917a08bab5027311

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.

source=pdf_text observed=2026-08-07T13:28:19.116843Z digest=sha256:e713b0dff53bef3993f2ee3aeec8bede7ac3c128652a16bcdcc45dd90ae65abb

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.

source=pdf_text observed=2026-08-07T12:14:27.958075Z digest=sha256:d6e4632fed1b3fd3af6abbed2a6bcbb17dc73e9f63d4550dfcc3479bbbce3d08

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.

source=pdf_text observed=2026-08-07T10:54:53.601723Z digest=sha256:610dfc70176b6817d49ed08566347448ccee78df62cc03516b777baee3a152d9

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.

source=pdf_text observed=2026-08-07T10:46:33.775956Z digest=sha256:88d1f6b14e25ae99bc5256dd0a442d3ef2f757892642eab60d427d9b48cdc78b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T20:47:36.337189Z digest=sha256:b00929dcf0bb007061763a8819cd8f15cb7e2fe852ae5abc95bc4bb7dc8c10b9