Bhārata Strata · Maharashtra · Chandrapur · morphological twins
Places like cell 4730000735
The MH-36 locality cells most similar to this Chandrapur 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
44
morphology-v2 feature dimensions
Closest twin distance
0.109
lower = more alike (weighted)
The twins, closest first
#1 · Chandrapurcell 4730001451
distance 0.109
#2 · Chandrapurcell 4730001544
distance 0.115
#3 · Chandrapurcell 4730001360
distance 0.12
#4 · Chandrapurcell 4730001543
distance 0.121
#5 · Chandrapurcell 4730001357
distance 0.122
#6 · Chandrapurcell 4730001452
distance 0.125
#7 · Chandrapurcell 4730001269
distance 0.139
#8 · Chandrapurcell 4730001067
distance 0.147
#9 · Chandrapurcell 4730001542
distance 0.154
#10 · Chandrapurcell 4730003753
distance 0.17
#11 · Chandrapurcell 4730001267
distance 0.174
#12 · Chandrapurcell 4730003669
distance 0.174
#13 · Chandrapurcell 4730003843
distance 0.175
#14 · Gadchirolicell 4750007290
distance 0.177 · cross-district
#15 · Gadchirolicell 4750008063
distance 0.178 · cross-district
#16 · Chandrapurcell 4730002580
distance 0.178
#17 · Chandrapurcell 4730001176
distance 0.18
#18 · Chandrapurcell 4730007470
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":473,"cluster_id":4730000735}}}'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.