Bhārata Strata · Maharashtra · Chandrapur · morphological twins
Places like cell 4730003043
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.196
lower = more alike (weighted)
The twins, closest first
#1 · Chandrapurcell 4730003608
distance 0.196
#2 · Nandedcell 4850000491
distance 0.198 · cross-district
#3 · Yavatmalcell 5000002762
distance 0.199 · cross-district
#4 · Chandrapurcell 4730003529
distance 0.203
#5 · Chandrapurcell 4730002310
distance 0.209
#6 · Chandrapurcell 4730003032
distance 0.214
#7 · Chandrapurcell 4730002823
distance 0.215
#8 · Chandrapurcell 4730003306
distance 0.215
#9 · Chandrapurcell 4730002700
distance 0.216
#10 · Chandrapurcell 4730003238
distance 0.217
#11 · Chandrapurcell 4730002826
distance 0.218
#12 · Chandrapurcell 4730003689
distance 0.219
#13 · Chandrapurcell 4730003609
distance 0.22
#14 · Chandrapurcell 4730003176
distance 0.222
#15 · Chandrapurcell 4730001230
distance 0.224
#16 · Chandrapurcell 4730002899
distance 0.225
#17 · Chandrapurcell 4730003871
distance 0.225
#18 · Chandrapurcell 4730002827
distance 0.226
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":4730003043}}}'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.