Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880000010
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
0.102
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880000285
distance 0.102
#2 · Dharashivcell 4880000555
distance 0.12
#3 · Dharashivcell 4880000805
distance 0.123
#4 · Dharashivcell 4880000860
distance 0.133
#5 · Dharashivcell 4880000171
distance 0.14
#6 · Dharashivcell 4880001113
distance 0.145
#7 · Dharashivcell 4880000275
distance 0.146
#8 · Dharashivcell 4880000222
distance 0.15
#9 · Washimcell 4990002226
distance 0.155 · cross-district
#10 · Dharashivcell 4880001038
distance 0.168
#11 · Dharashivcell 4880000629
distance 0.17
#12 · Washimcell 4990002137
distance 0.171 · cross-district
#13 · Dharashivcell 4880000179
distance 0.174
#14 · Dharashivcell 4880000534
distance 0.178
#15 · Dharashivcell 4880000009
distance 0.181
#16 · Washimcell 4990002039
distance 0.182 · cross-district
#17 · Washimcell 4990002536
distance 0.183 · cross-district
#18 · Dharashivcell 4880000371
distance 0.183
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":4880000010}}}'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.