Struct LlmFunnel 

pub struct LlmFunnel {
    pub evidence: u64,
    pub proposed: u64,
    pub cited: u64,
    pub dropped_uncited: u64,
    pub dropped_target: u64,
    pub grounded: u64,
    pub ground_verdicts: u64,
    pub ground_call_failed: bool,
    pub kept: u64,
    pub stored: u64,
}

The DISCOVER pipeline’s attrition, counted.

“The model contributed nothing” has at least five distinct causes, and they call for opposite responses: an empty bundle is a capture problem, a model that abstained may need better evidence or a better prompt, drafts dying at GROUND suggest fabrication, drafts dying at VERIFY suggest they were vague, and drafts dying at the floor were merely unconfident. Without this they are indistinguishable from the outside — every one of them renders as an empty ledger and reads like a clean null. That ambiguity cost a six-cell measurement run before it was noticed.

Fields

evidence: u64

Grains offered to the model as evidence. Zero means nothing to reflect on.

proposed: u64

Drafts the model returned.

cited: u64

Survived the cite-check and target-class filter.

dropped_uncited: u64

Dropped for citing a hash the bundle does not hold. Its own counter because the fix is specific: models copy long hex badly, and that is a different problem from one aiming at a surface it may not touch.

dropped_target: u64

Dropped for targeting a class the vocabulary may not reach — a prompt, host config, or its own grader.

grounded: u64

Survived GROUND — their premises were found in the cited evidence.

ground_verdicts: u64

Verdicts GROUND actually returned. grounded = 0 with verdicts > 0 is the gate refusing every draft; grounded = 0 with verdicts = 0 is a grader that answered with nothing usable, which is a backend problem wearing a gate’s clothes.

ground_call_failed: bool

The GROUND call itself failed — no response at all. The engine fail-softs here by design, so without this the run looks like a model that had nothing to say.

kept: u64

Survived VERIFY’s adversarial pass.

stored: u64

Cleared the confidence floor and reached the queue.

Trait Implementations

impl Clone for LlmFunnel

fn clone(&self) -> LlmFunnel

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for LlmFunnel

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for LlmFunnel

fn default() -> LlmFunnel

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for LlmFunnel

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for LlmFunnel

fn eq(&self, other: &LlmFunnel) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl Serialize for LlmFunnel

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for LlmFunnel