adjacent_pair: ap-0c9bc4053b
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-0c9bc4053b | problem | ax-2606.07327-558bc342 | Why do models fail to capture long-range interactions? (Message Passing Neural Networks (MPNNs), one of the most widely used architectures for MLIPs, exhibit a local inductive bias , as message aggregation for each node is typically limited to its neighbourhood. This locality reflects the assumption | problem | wp-neuroscience-11954e13d2 | Connectionism : Can the mind be explained by mathematical models known as artificial neural networks ? | neural networks | far | duplicate | 8 ingested paper titles mention both sides (text proxy for #177 pair-novelty) ยท withdrawn: v0.1 random draw superseded by combinability v0.2 (drawn only for a named signal) | withdrawn | 2026-09-02T18:02:06Z |
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