Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880001183
The MH-36 locality cells most similar to this Dharashiv 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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.066
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880001281
distance 0.066
#2 · Solapurcell 4960009473
distance 0.07 · cross-district
#3 · Dharashivcell 4880001458
distance 0.083
#4 · Dharashivcell 4880001193
distance 0.091
#5 · Dharashivcell 4880001548
distance 0.092
#6 · Dharashivcell 4880001636
distance 0.094
#7 · Dharashivcell 4880001617
distance 0.095
#8 · Dharashivcell 4880001791
distance 0.096
#9 · Dharashivcell 4880001888
distance 0.096
#10 · Dharashivcell 4880002051
distance 0.098
#11 · Dharashivcell 4880001790
distance 0.098
#12 · Solapurcell 4960005669
distance 0.106 · cross-district
#13 · Dharashivcell 4880001718
distance 0.107
#14 · Dharashivcell 4880001100
distance 0.107
#15 · Dharashivcell 4880001369
distance 0.109
#16 · Dharashivcell 4880001186
distance 0.11
#17 · Dharashivcell 4880000522
distance 0.115
#18 · Solapurcell 4960009752
distance 0.116 · 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":488,"cluster_id":4880001183}}}'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.