WARP

Plain search finds what's close to the query in its domain. Warp reshapes the query vector at retrieval time to steer search toward other domains, away from, or between concepts without modifying stored data.

Three operating regimes (empirically validated, not tuning parameters):

Regime	What It Does	Example
Routing	Gentle steering. Preserves query intent.	"Find memory research, weighted toward neuroscience."
Saturation	Cross-domain bridging. Finds structural parallels between distant regions.	"What's the equivalent of natural selection in economics?"
Bounded (default)	Both target and suppression work without interference. Safe general-purpose mode.	Any warp query where you want protection against drift.

Key validated properties:

• Cross-domain recovery: An embedding model that gets 6% on cross-domain relational triplets at zero warp recovers to 94% under calibrated saturation warp. The encoder's blind spots become queryable.
• Suppression alone is useful: Pushing the query away from already-seen content delivers 47% retrieval modulation. Anti-repetition and anti-hallucination at zero cost.
• Seeds-on-demand: Warp targets don't require pre-committed seed infrastructure. Any encodable text direction works. "Things from yesterday," "things I've decided," "concepts related to fluid dynamics" — all valid warp targets without pre-planning.
• Multi-target composition is mathematically exact at the vector level (measured cosine = 1.000000 vs. predicted superposition). Consumers can reason about multi-seed warps additively.
• Deterministic: Same query + same warp spec + same store = same result. Compliance and audit friendly.

Warped neighborhoods expose the analogy signal. Warp reshapes the geometric population while lineage stays unchanged. Large geometric-only population under saturation warp = "the warp found connections the store's history didn't anchor." That's a candidate cross-domain analogy region, surfaced structurally.

Note, the named regimes were removed, as each encoding model has its intrinsic shape, this led to confusion, it may be reintroduced with a later version as the calibrate function provides a measured bound for the WARP but for now it is 0-1.5f.