Cognitively Layered Data Synthesis for Domain Adaptation of LLMs to Space Situational Awareness

ArXi:2603.09231v1 Announce Type: new Large language models (LLMs) nstrate exceptional performance on general-purpose tasks. however, transferring them to complex engineering domains such as space situational awareness (SSA) remains challenging owing to insufficient structural alignment with mission chains, the absence of higher-order cognitive supervision, and poor correspondence between data quality criteria and engineering specifications. The core bottleneck is the construction of high-quality supervised fine-tuning (SFT) datasets.