Bhārata Strata · Maharashtra · Chandrapur · morphological twins
Places like cell 4730006892
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
0.118
lower = more alike (weighted)
The twins, closest first
#1 · Chandrapurcell 4730003348
distance 0.118
#2 · Chandrapurcell 4730003922
distance 0.132
#3 · Chandrapurcell 4730005441
distance 0.146
#4 · Chandrapurcell 4730004580
distance 0.149
#5 · Chandrapurcell 4730003741
distance 0.151
#6 · Chandrapurcell 4730007112
distance 0.166
#7 · Chandrapurcell 4730003289
distance 0.175
#8 · Chandrapurcell 4730008773
distance 0.181
#9 · Chandrapurcell 4730005439
distance 0.183
#10 · Chandrapurcell 4730007684
distance 0.183
#11 · Gadchirolicell 4750008029
distance 0.19 · cross-district
#12 · Chandrapurcell 4730003649
distance 0.192
#13 · Chandrapurcell 4730007712
distance 0.196
#14 · Chandrapurcell 4730003838
distance 0.196
#15 · Chandrapurcell 4730008770
distance 0.198
#16 · Chandrapurcell 4730008131
distance 0.2
#17 · Gadchirolicell 4750010847
distance 0.201 · cross-district
#18 · Chandrapurcell 4730009381
distance 0.203
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":4730006892}}}'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.