Expired50% confidenceEventExact time
A researcher shared on Reddit that their paper was rejected for having a 'dataset that was too small,' despite using a standard dataset widely recognized in the field.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
9/11/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/25/2026(expired)
Sources
Related Entities
Related Claims
Unverified该二次参数需求论点来自单一来源（Substack作者分析文章经Reddit传播），尚未经过同行评审或大规模实验验证68% similarUnverifiedA 2018 systematic review of papers from top machine learning conferences found that the open-source code of a large number of papers was inconsistent with the descriptions in those papers.68% similarUnverifiedThe information about the model hardware standard primarily comes from reposts in the Reddit community and links on the X platform, and a detailed official technical white paper or peer-reviewed validation from Anthropic is still lacking.66% similarUnverifiedA researcher posted on Reddit's machine learning community, describing their experience of receiving a desk rejection during the AAAI-27 submission process.65% similarUnverifiedThe case in this article originates from a Reddit share, and the author did not disclose specific technical details.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/905399API
curl https://kongchang.com/api/v1/knowledge/claims/905399MCP
get_claim(id=905399)