Purpose & architecture
DBM is local Generator Core registry configuration 68, created by NewDBM in the energy package. Its exact constructor and configuration settings are preserved below.
The shared implementation computes an energy, performs short Langevin-style refinement and emits the refined vector alongside an energy-derived score. Train compares the energy of target data with a short negative-sampling chain. The YINYANG configuration is constructed by the function named NewYOUR.
The partition-function equation in the header describes a model family; the code does not establish a computed normalized density. The loss calculation and sampling loop do not by themselves constitute a trained energy model, and Train itself does not update weights.
This source generation
This record follows the claude/improve-math-logic-ehIW1 branch of Janady13/complete-agi-core at commit 33aa84f2aa61cedbe010240ada7f4efbdfe795a7. The snapshot identifies the source inspected in this audit. It is not a statement about which revision is currently running on a device.
| Field | Source record |
|---|---|
| Revision | 33aa84f2aa61cedbe010240ada7f4efbdfe795a7 |
| Branch | claude/improve-math-logic-ehIW1 |
| Recorded generation | Generator Core · energy |
Recovered implementation structure
These paths locate the components and entry points represented by this build. The source register contains their inspected revisions.
- generator_core/pkg/generators/energy/energy.go
Behavior & verification limits
The partition-function equation in the header describes a model family; the code does not establish a computed normalized density. The loss calculation and sampling loop do not by themselves constitute a trained energy model, and Train itself does not update weights.
Original project documentation
The following documentation is preserved as a dated source account. Claims in it retain the source’s wording and must be read alongside the implementation notes above.
func NewDBM() *EnergyGenerator {
g := NewEnergyGenerator(68, "DBM", "deep")
g.Config().Params["layers"] = []int{256, 128, 64}
return g
}Equations in this build
2 linked mathematical records. Each opens its notation, interpretation and source.
energy · p(x)
This relation defines p(x) in the source section “energy · p(x)”. Integrates contributions over the variable and bounds stated in the expression; the measure and domain must come…
func (g *EnergyGenerator) langevinStep(x []float64) []float64 · Langevin dynamics: x_new
This relation defines Langevin dynamics: x_new in the source section “func (g *EnergyGenerator) langevinStep(x []float64) []float64 · Langevin dynamics: x_new”. Takes a square…