Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800001967
The MH-36 locality cells most similar to this Kolhapur 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
43
morphology-v2 feature dimensions
Closest twin distance
0.104
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800002024
distance 0.104
#2 · Kolhapurcell 4800002022
distance 0.14
#3 · Kolhapurcell 4800001677
distance 0.182
#4 · Kolhapurcell 4800001798
distance 0.192
#5 · Kolhapurcell 4800001623
distance 0.199
#6 · Kolhapurcell 4800001734
distance 0.21
#7 · Solapurcell 4960008816
distance 0.229 · cross-district
#8 · Ahmednagarcell 4660002449
distance 0.232 · cross-district
#9 · Ahmednagarcell 4660002244
distance 0.233 · cross-district
#10 · Kolhapurcell 4800001847
distance 0.233
#11 · Kolhapurcell 4800001852
distance 0.235
#12 · Kolhapurcell 4800001678
distance 0.238
#13 · Kolhapurcell 4800001684
distance 0.24
#14 · Kolhapurcell 4800002066
distance 0.24
#15 · Kolhapurcell 4800001624
distance 0.24
#16 · Ahmednagarcell 4660001943
distance 0.244 · cross-district
#17 · Kolhapurcell 4800001964
distance 0.244
#18 · Kolhapurcell 4800001853
distance 0.245
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":480,"cluster_id":4800001967}}}'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.