Purpose & architecture
NeuralSplineFlow is local Generator Core registry configuration 61, created by NewNSF in the flow package. Its exact constructor and configuration settings are preserved below.
The shared implementation chains affine coupling transformations and permutations, maps inputs into a latent space, combines a standard-normal log density with accumulated log-Jacobian terms and can generate samples by transforming random latent vectors. Train returns a negative log-likelihood-style objective.
Invertibility, transformation inverses and Jacobian signs require numerical verification. The names select this shared local family implementation; they are not imported official models. The inspected Train method only returns a loss.
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 · flow |
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/flow/flow.go
Behavior & verification limits
Invertibility, transformation inverses and Jacobian signs require numerical verification. The names select this shared local family implementation; they are not imported official models. The inspected Train method only returns a loss.
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 NewNSF() *FlowGenerator {
g := NewFlowGenerator(61, "NeuralSplineFlow", 8, "spline")
g.Config().Params["spline_bins"] = 8
return g
}Equations in this build
3 linked mathematical records. Each opens its notation, interpretation and source.
flow · p(x)
This relation defines p(x) in the source section “flow · p(x)”. Uses a derivative or gradient to describe a rate of change or a direction of variation. Its interpretation depends…
func (g *FlowGenerator) affineTransform(x []float64, flowIdx int, inverse bool) ([]float64, float64) · Forward: y2
This relation defines Forward: y2 in the source section “func (g *FlowGenerator) affineTransform(x []float64, flowIdx int, inverse bool) ([]float64, float64) · Forward: y2”.…
func (g *FlowGenerator) affineTransform(x []float64, flowIdx int, inverse bool) ([]float64, float64) · Inverse: x2
This relation defines Inverse: x2 in the source section “func (g *FlowGenerator) affineTransform(x []float64, flowIdx int, inverse bool) ([]float64, float64) · Inverse: x2”.…