Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710001266
The MH-36 locality cells most similar to this Bhandara 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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.073
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710001110
distance 0.073
#2 · Bhandaracell 4710001220
distance 0.08
#3 · Bhandaracell 4710001265
distance 0.081
#4 · Bhandaracell 4710001270
distance 0.09
#5 · Bhandaracell 4710002323
distance 0.102
#6 · Bhandaracell 4710001078
distance 0.104
#7 · Bhandaracell 4710000950
distance 0.105
#8 · Gondiacell 4760001898
distance 0.124 · cross-district
#9 · Bhandaracell 4710001374
distance 0.131
#10 · Bhandaracell 4710001776
distance 0.134
#11 · Bhandaracell 4710001376
distance 0.136
#12 · Bhandaracell 4710001329
distance 0.138
#13 · Gondiacell 4760001973
distance 0.141 · cross-district
#14 · Gondiacell 4760000559
distance 0.143 · cross-district
#15 · Gondiacell 4760000560
distance 0.144 · cross-district
#16 · Bhandaracell 4710001291
distance 0.144
#17 · Gondiacell 4760000733
distance 0.145 · cross-district
#18 · Bhandaracell 4710001568
distance 0.145
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":471,"cluster_id":4710001266}}}'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.