Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800001667
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
0.136
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800002172
distance 0.136
#2 · Kolhapurcell 4800001959
distance 0.14
#3 · Kolhapurcell 4800002340
distance 0.148
#4 · Beedcell 4700005794
distance 0.159 · cross-district
#5 · Kolhapurcell 4800001724
distance 0.166
#6 · Kolhapurcell 4800002310
distance 0.17
#7 · Kolhapurcell 4800001666
distance 0.172
#8 · Kolhapurcell 4800002070
distance 0.184
#9 · Kolhapurcell 4800001554
distance 0.187
#10 · Ahmednagarcell 4660004714
distance 0.192 · cross-district
#11 · Kolhapurcell 4800002308
distance 0.193
#12 · Kolhapurcell 4800001508
distance 0.194
#13 · Ahmednagarcell 4660004548
distance 0.2 · cross-district
#14 · Beedcell 4700006495
distance 0.203 · cross-district
#15 · Kolhapurcell 4800002356
distance 0.204
#16 · Kolhapurcell 4800001909
distance 0.208
#17 · Beedcell 4700005036
distance 0.21 · cross-district
#18 · Kolhapurcell 4800001395
distance 0.214
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":4800001667}}}'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.