Bhārata Strata · Maharashtra · Wardha · morphological twins
Places like cell 4980004411
The MH-36 locality cells most similar to this Wardha cell across terrain, built form, land cover, climate dynamics and connectivity — ranked by a GUM-confidence-weighted (R24) distance, with the temporal block down-weighted. Each twin is a real cell with its own witnessed dossier.
Twins found
18
across 4 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.204
lower = more alike (weighted)
The twins, closest first
#1 · Wardhacell 4980003908
distance 0.204
#2 · Wardhacell 4980005423
distance 0.232
#3 · Wardhacell 4980005359
distance 0.242
#4 · Wardhacell 4980003953
distance 0.243
#5 · Wardhacell 4980003797
distance 0.243
#6 · Wardhacell 4980003629
distance 0.253
#7 · Wardhacell 4980004067
distance 0.254
#8 · Wardhacell 4980003800
distance 0.255
#9 · Wardhacell 4980003918
distance 0.261
#10 · Amravaticell 4680002607
distance 0.262 · cross-district
#11 · Wardhacell 4980003669
distance 0.266
#12 · Wardhacell 4980004669
distance 0.267
#13 · Nandedcell 4850009104
distance 0.274 · cross-district
#14 · Amravaticell 4680004393
distance 0.284 · cross-district
#15 · Yavatmalcell 5000010748
distance 0.286 · cross-district
#16 · Amravaticell 4680001266
distance 0.287 · cross-district
#17 · Wardhacell 4980003853
distance 0.289
#18 · Nandedcell 4850008988
distance 0.29 · cross-district
witness: find_twins — morphology-twin-index-v2 (R24, GUM-confidence-weighted, magnitude-aware, temporal block down-weighted). Distance is the weighted feature distance; lower is more alike. Cross-district twins are the discriminative signal.
Re-witness these twins
curl -s https://api.gridrock.ai/mcp -H 'Content-Type: application/json' \
-H 'Accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"find_twins",
"arguments":{"admin_code":498,"cluster_id":4980004411}}}'Scope: the live MH-36 cube. Twins are computed from the sha-verified morphology-v2 vector; the engine supplies no goodness/suitability ranking — only morphological similarity.