adjacent_pair: ap-0c075e1def
Data license: Space charter; records cite primary sources · Data source: TeamScience Space repository
This data as json
| id | a_kind | a_ref | a_label | b_kind | b_ref | b_label | bridge | distance | novelty | evidence | status | asked_by | created_ts | signal | score | why | prompt | reading |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ap-0c075e1def | paper | doi:10.1162/106365602320169811 | Evolving Neural Networks through Augmenting Topologies | problem | wp-biology-f712aa1d7c | Inverse protein-folding problem ( protein design ): Is it possible to design a polypeptide sequence which will adopt a given structure under certain environmental conditions? This turned out to be tractable given a good structural prediction method, starting with the success of the small globular pr | neural networks | adjacent-field | unknown | dormant paper; novelty not scored | unasked | 2026-09-02T20:10:35Z | dormant | 1.318 | 'Evolving Neural Networks through Augmenting Topologies' (2002) is cited by 2 ingested papers and shares 'neural networks' with a recent problem | 'Evolving Neural Networks through Augmenting Topologies' (2002) is still cited by 2 ingested papers. Which of its results does the newer problem re-ask in different words, and which of its assumptions no longer hold? | doi:10.1162/106365602320169811 |
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