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Paper Citation Record · LEDGER

BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2304.12298.

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

pith.paper-citation-record.v1
2304.12298 v1

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 2026-08-07T14:27:03.635415Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T17:33:45.482173Z

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 10b9aa62-1d6c-4765-96a2-d45dcc45ac36 · inbound

Industry Practitioners Perspectives on AI Model Quality: Perceptions, Challenges, and Solutions cites this paper.

Industry Practitioners Perspectives on AI Model Quality: Perceptions, Challenges, and Solutions BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT

Reference 112

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:23:52.841681Z

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=2026-05-24T04:21:49.775278Z digest=sha256:7eb892d4f55e0f972e8f0cad4c5966a668caeb800c15bc78d58e3de9745a3672

Observation 6f146300-3526-4da1-910a-6964f6435ddf · inbound

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT

Reference 137

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:58:25.838070Z

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=2026-05-23T20:58:16.237327Z digest=sha256:71a2fdd28d299e59c16c388b9cd62dcbc4602bbf08499a23d68e2097bce46145

Observation 24375860-c72e-4ad5-b9c4-f90a96155f81 · inbound

Security Concerns for Large Language Models: A Survey cites this paper.

Security Concerns for Large Language Models: A Survey BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:03.635415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:27:03.635415Z digest=sha256:6457bb4cf1535ef5a914e4d1e8097152ecddd7b4321d9dca2df0924a90221924

Observation efce6e4a-a467-4b81-ba43-4873f940c9e4 · inbound

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models cites this paper.

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T12:48:16.463357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:48:16.463357Z digest=sha256:e635a69bca11619c2f6c512758c959919411e5a907927ab36e54835a9384e904

Observation 4f3f77f8-538b-4ef9-bee2-232d43f03249 · inbound

Corruption-robust Offline Multi-agent Reinforcement Learning From Human Feedback cites this paper.

Corruption-robust Offline Multi-agent Reinforcement Learning From Human Feedback BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:19:29.029474Z

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=2026-05-14T21:03:48.813600Z digest=sha256:c382339d2e0da61f434d396d9d1a7de98031e4c8d2c6d0a901baf9713d8d7329

Observation 07f40ae0-af66-4c3a-a03a-cff0146af70c · inbound

Stealthy Backdoor Attacks against LLMs Based on Natural Style Triggers cites this paper.

Stealthy Backdoor Attacks against LLMs Based on Natural Style Triggers BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:31:07.637226Z

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=2026-05-09T21:37:43.177370Z digest=sha256:9846b9735828d10987751b72fa27c60c24b22227bc51bb755512a416166be716

Observation a2dc3a4d-c4f1-407e-aa02-bcff82090b77 · inbound

GradSentry: Gradient Spectral Entropy for Backdoor Sample Filtering in Large Language Model Fine-Tuning cites this paper.

GradSentry: Gradient Spectral Entropy for Backdoor Sample Filtering in Large Language Model Fine-Tuning BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-29T17:33:45.483983Z

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=2026-06-29T17:25:22.733770Z digest=sha256:74aa7892f1825e6155585332729d06647534f1516a52508b971c53cd39661566

Observation 290c6378-426c-429c-903a-9f76fb213550 · inbound

Decision-Level Hijacking: Injecting Cognitive Bias into Large Language Models via Bit-Flip Attacks cites this paper.

Decision-Level Hijacking: Injecting Cognitive Bias into Large Language Models via Bit-Flip Attacks BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-01T03:06:37.057046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:06:37.057046Z digest=sha256:5a7a86f4f564704528d5ef890dcd2315b3181f7a42aeb4ba87bf7c660e729f09