This approach requires sourcing and maintaining accurate information, which means you can't fabricate numbers or exaggerate metrics. AI models increasingly cross-reference claims across sources, and inconsistencies damage credibility. The data you include must be truthful and, where relevant, attributed to primary sources. But when you consistently provide specific, accurate information, you build a reputation as a reliable source that AI models return to repeatedly.
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[6] D. Vanderhaeghe & V. Ostromoukhov: “Polyomino-Based Digital Halftoning” (2008). ↑
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我的原则就是我小时候被怎么对待，我不爽，那我尽量不去做（除了原则性问题）。对于学习来说，我也已经处于半随缘状态。不过新的一年，我希望自己可以做到：