Bhārata Strata · Maharashtra · Chandrapur · morphological twins
Places like cell 4730004769
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.157
lower = more alike (weighted)
The twins, closest first
#1 · Chandrapurcell 4730007230
distance 0.157
#2 · Chandrapurcell 4730004473
distance 0.163
#3 · Chandrapurcell 4730007005
distance 0.174
#4 · Chandrapurcell 4730004954
distance 0.176
#5 · Chandrapurcell 4730004862
distance 0.179
#6 · Chandrapurcell 4730005049
distance 0.18
#7 · Chandrapurcell 4730005362
distance 0.188
#8 · Chandrapurcell 4730007003
distance 0.205
#9 · Chandrapurcell 4730004472
distance 0.205
#10 · Chandrapurcell 4730005238
distance 0.206
#11 · Chandrapurcell 4730004667
distance 0.211
#12 · Chandrapurcell 4730005145
distance 0.211
#13 · Chandrapurcell 4730004768
distance 0.211
#14 · Chandrapurcell 4730006668
distance 0.213
#15 · Chandrapurcell 4730007229
distance 0.214
#16 · Chandrapurcell 4730006959
distance 0.217
#17 · Yavatmalcell 5000006894
distance 0.218 · cross-district
#18 · Gadchirolicell 4750010260
distance 0.221 · 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":473,"cluster_id":4730004769}}}'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.