Bibliography:

1. ​ https://github.com/mame/radiation-hardened-quine

2. ​ Weight Agnostic Neural Networks

3. ​ Nonlinear Computation in Deep Linear Networks

4. ​ Cores that don’t count

5. ​ Observations on Errors, Corrections, & Trust of Dependent Systems

6. ​ Putting out the hardware dumpster fire

7. ​ Detecting silent data corruptions in the wild

8. ​ Silent Data Corruptions at Scale

9. ​ Alpha-particle-induced soft errors in dynamic memories

10. ​ On the Computational Power of Threshold Circuits with Sparse Activity

11. ​ Threshold circuits of bounded depth

12. ​ Limitations of Noisy Reversible Computation

13. ​ Transformers Implement First-Order Logic with Majority Quantifiers

14. ​ Learning through atypical "phase transitions" in overparameterized neural networks

15. Wikipedia Bibliography:

    1. ​ https://en.wikipedia.org/wiki/America_Online

    2. ​ https://en.wikipedia.org/wiki/EBay

    3. ​ https://en.wikipedia.org/wiki/Los_Alamos_Neutron_Science_Center

    4. ​ Lambda Calculus

    5. ​ Reproducibility