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Paper Citation Record · LEDGER

Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection

As of 18 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 2 inbound Pith citation observations for arXiv:2504.16125.

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

pith.paper-citation-record.v1
2504.16125 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:51:19.347084Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:42:00.220522Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T07:53:14.251868Z

Reference resolution

11 of 11 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 42914bb6-783b-4be7-bff1-cd4e6e2ba38e · outbound

This paper cites Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks.

Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:19.294095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:51:19.294095Z digest=sha256:7a4f56348257a2c0b6500be34cf38e3292d0b900fb83719ed02e75067b4f983e

Observation 1d91d227-ed24-4d42-a1ed-fec5097fcf60 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:19.300489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:51:19.300489Z digest=sha256:aacaf7c3c5269ebd1893ed598bf9a6a30da8dc8422fe0a133737dbd232c0b8b8

Observation 6d86aba4-ad65-4b83-8b26-c6910b1224b6 · outbound

This paper cites Proadvprompter: A two-stage journey to effective adversarial prompting for llms.

Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection Proadvprompter: A two-stage journey to effective adversarial prompting for llms

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:51:19.684368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T11:51:19.305523Z digest=sha256:6fdee2bed43f8fe28020e90788b62002e169055ec44bb75c06925a5abe3c16d3

Observation a27606d8-1141-469e-bafe-a4b2e1e093bb · outbound

This paper cites Not what you've signed up for: Compromising real-world llm-integrated applications with indirect prompt injection.

Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection Not what you've signed up for: Compromising real-world llm-integrated applications with indirect prompt injection

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:19.310480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:51:19.310480Z digest=sha256:56f1646f31545046ba8f8991926517bfdf59a71fe4f65d02133337252b756607

Observation 2cdc0751-ebd9-42b3-831c-9a1c4771744f · outbound

This paper cites Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety.

Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:19.315822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:51:19.315822Z digest=sha256:1d64aea62af2be4e6202f4e4dbca6ea5e4d36b3bde9d4bd83d6f44b234775f79

Observation 6b74f87d-3394-4c08-9711-99747329ae11 · outbound

This paper cites Gpt-4 technical report.

Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection Gpt-4 technical report

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:51:19.667174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T11:51:19.321047Z digest=sha256:9918aab93fdd26bf6318c07be83aec8378a7d5512b2d64fdc854481b937ff4e1

Observation 155949d7-f206-41f0-ad84-bccad8100678 · outbound

This paper cites Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025.

Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:19.326275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:51:19.326275Z digest=sha256:5934d4955825265b1a12062a47c2d4051b75f9b2de2a7a5e53c44e39d0b643d8

Observation 1090ee2b-dafc-4d09-b139-2ec4d5d11e4a · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection LLaMA: Open and Efficient Foundation Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:19.331250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:51:19.331250Z digest=sha256:74ec4e2d783efa69135918a10d4f55be4c7160bd8df6e3e33df633414b037008

Observation 1f125c16-4690-4113-bb8d-174f11e7d900 · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection BloombergGPT: A Large Language Model for Finance

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:19.336394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:51:19.336394Z digest=sha256:db76589630a6437297fdf6e2053349b8b1ff4fd2bd46919adb3ee19a11269264

Observation dd659707-9fc2-4a6c-a885-baf3b9b2cc54 · outbound

This paper cites Fingpt: Open-source financial large language models.

Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection Fingpt: Open-source financial large language models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:19.341554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:51:19.341554Z digest=sha256:014b4b3063fd23e42801a583a2d0b27b55c536721048d2e26fe8e494208d4b29

Observation d9b89c34-37b7-4eea-8444-dd10820ef57a · outbound

This paper cites Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review.

Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:19.347084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:51:19.347084Z digest=sha256:15fb328714d17859b1cc866cad2cf8d3949795207e6f69926ec4354a39d1c8fb

Pith citing papers

Observation 16a5338f-783f-4b6c-affa-7540ac4846f9 · inbound

Practical Reasoning Interruption Attacks on Reasoning Large Language Models cites this paper.

Practical Reasoning Interruption Attacks on Reasoning Large Language Models Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T22:42:00.220522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:42:00.220522Z digest=sha256:311b0d85b33e98972ace45d7c56f3e601da2c87166135ca5f13e832d2f4cda68

Observation e2bc39bf-1d4f-4427-8be6-76205425af09 · inbound

Provably Secure Agent Guardrail cites this paper.

Provably Secure Agent Guardrail Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:53:14.253813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T07:43:17.593344Z digest=sha256:db337f8ab10758bc8a172612e97774516b1a7d17f19dfa5d7aad90f25bf66acf