Unverified50% confidenceFactExact time
The research document does not disclose key details such as the duration of the simulated environment, the proportion of deleted agents, and whether the model's internal state at the time of "seeing through" was recorded.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/20/2026
First Seen
Valid until: 11/3/2026
Sources
Related Entities
Related Claims
UnverifiedThe paper's diagnostic analysis finds that coding agents often fail not because of missing information, but because the relevant information is already in the context and the model does not act on it.68% similarUnverifiedThe replication problem in technology industry research manifests as researchers typically not releasing raw datasets, with analysis scripts rarely included68% similarUnverifiedWhen matching fails, the draft is discarded and execution falls back to the authoritative model's normal execution; since the draft runs in an isolated environment snapshot, incorrect speculation does not contaminate the real environment state.67% similarUnverifiedCurrent LLM models cannot provide accurate data provenance, and technologies such as data provenance tracking, watermarking, federated learning, and differential privacy are still at the research stage.67% similarUnverified对于闭源模型,外部研究者几乎无法有效检测数据污染67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1075399API
curl https://kongchang.com/api/v1/knowledge/claims/1075399MCP
get_claim(id=1075399)