Paper, visual sources and credits
Transfer Learning in Physics-Informed Neurals Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation
International Journal of Mechanical System Dynamics · 2025
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84 seconds. Original procedural illustrations. Only scenes marked as redrawn data use reported paper values; other scenes are conceptual, not newly run simulations. No narration. Music: We Never by Shiji Official, from the user-provided reference, edited with fades. Visual direction references Bit Xinyu's public films Emergence and Razor. Scientific content and graphics are independently developed from each paper. Page numbers refer to the local PDF.
- Opening: PDF abstract; pp. 5–6
- The question: PDF abstract; pp. 5–6
- Title: PDF abstract
- The idea: PDF p. 5 · Sections 3.1–3.2
- The mechanism: PDF p. 5 · Eq. 21; p. 6 · Fig. 4
- Evidence: PDF pp. 19–20 · Conclusions
- Scope and limits: PDF p. 19 · Figs. 21–22; p. 20
- The takeaway: Source: paper · Matrix colors illustrate parameter status
- Closing: Source: paper