Bhārata Strata · Maharashtra · Chandrapur · morphological twins
Places like cell 4730003560
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.073
lower = more alike (weighted)
The twins, closest first
#1 · Chandrapurcell 4730003635
distance 0.073
#2 · Chandrapurcell 4730002212
distance 0.159
#3 · Chandrapurcell 4730003567
distance 0.16
#4 · Chandrapurcell 4730003213
distance 0.176
#5 · Chandrapurcell 4730003551
distance 0.181
#6 · Chandrapurcell 4730003482
distance 0.19
#7 · Chandrapurcell 4730002216
distance 0.193
#8 · Chandrapurcell 4730003636
distance 0.194
#9 · Chandrapurcell 4730002788
distance 0.198
#10 · Gadchirolicell 4750005786
distance 0.199 · cross-district
#11 · Chandrapurcell 4730003629
distance 0.205
#12 · Chandrapurcell 4730001481
distance 0.205
#13 · Chandrapurcell 4730003492
distance 0.206
#14 · Chandrapurcell 4730002912
distance 0.207
#15 · Chandrapurcell 4730001978
distance 0.207
#16 · Chandrapurcell 4730002481
distance 0.208
#17 · Chandrapurcell 4730002147
distance 0.21
#18 · Gadchirolicell 4750005868
distance 0.21 · 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":4730003560}}}'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.