Read the equation
Epona receives two indexed collections of optimized state–design pairs: seven layer results and 80 neuron results. This is a definition of the proposed aggregation inputs, rather than an additional optimizer or a proof that those optimizations have executed.
Terms & definitions
The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.
How it works
Read \{(S_\ell^\, D_\ell^\)\}_{\ell as the quantity being defined or updated by this relation.
Substitute the source-defined variables or recorded values and follow the displayed arithmetic and indexing exactly.
Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.
Assumptions & limits
Source recovery establishes that the expression appears in this record. Its mathematical validity, implementation behavior, and interpretation must be assessed separately. See the linked source and research notes for the checks available for this version.
Original context
Read the surrounding source passage
5. What happens when Epona receives these results
When each environment and each neuron solves the full same objective, Epona sees:
\{(S_\ell^\*, D_\ell^\*)\}_{\ell=1}^7,
\qquad
\{(S_i^\*, D_i^\*)\}_{i=1}^{80}
This gives Epona:
• globally consistent system updates
• per-layer updates
• per-neuron updates
• all mathematically identical in structure
• all derived from the exact same logicExact original notation
\{(S_\ell^\*, D_\ell^\*)\}_{\ell=1}^7,
\qquad
\{(S_i^\*, D_i^\*)\}_{i=1}^{80}Related builds
Sources & provenance
\{(S_\ell^\*, D_\ell^\*)\}_{\ell=1}^7, \qquad \{(S_i^\*, D_i^\*)\}_{i=1}^{80}