Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890000923
The MH-36 locality cells most similar to this Parbhani 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 2 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.078
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890000864
distance 0.078
#2 · Parbhanicell 4890000922
distance 0.096
#3 · Parbhanicell 4890001098
distance 0.114
#4 · Parbhanicell 4890000983
distance 0.146
#5 · Parbhanicell 4890001040
distance 0.162
#6 · Parbhanicell 4890001112
distance 0.163
#7 · Parbhanicell 4890001237
distance 0.164
#8 · Parbhanicell 4890001430
distance 0.176
#9 · Parbhanicell 4890001424
distance 0.177
#10 · Parbhanicell 4890001044
distance 0.178
#11 · Parbhanicell 4890000919
distance 0.181
#12 · Parbhanicell 4890001164
distance 0.184
#13 · Parbhanicell 4890000869
distance 0.185
#14 · Parbhanicell 4890000933
distance 0.187
#15 · Chhatrapati Sambhajinagarcell 4690007534
distance 0.187 · cross-district
#16 · Parbhanicell 4890000921
distance 0.188
#17 · Chhatrapati Sambhajinagarcell 4690007782
distance 0.192 · cross-district
#18 · Parbhanicell 4890001165
distance 0.197
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":489,"cluster_id":4890000923}}}'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.