Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800004981
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 2 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
42
morphology-v2 feature dimensions
Closest twin distance
0.109
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800004900
distance 0.109
#2 · Kolhapurcell 4800005068
distance 0.114
#3 · Kolhapurcell 4800004642
distance 0.12
#4 · Kolhapurcell 4800004465
distance 0.128
#5 · Kolhapurcell 4800005330
distance 0.13
#6 · Kolhapurcell 4800004555
distance 0.136
#7 · Kolhapurcell 4800005331
distance 0.137
#8 · Kolhapurcell 4800004554
distance 0.141
#9 · Ratnagiricell 4920001010
distance 0.144 · cross-district
#10 · Kolhapurcell 4800004982
distance 0.146
#11 · Kolhapurcell 4800004984
distance 0.147
#12 · Ratnagiricell 4920001203
distance 0.152 · cross-district
#13 · Kolhapurcell 4800004728
distance 0.153
#14 · Ratnagiricell 4920000545
distance 0.16 · cross-district
#15 · Kolhapurcell 4800005656
distance 0.161
#16 · Kolhapurcell 4800004897
distance 0.167
#17 · Ratnagiricell 4920001333
distance 0.169 · cross-district
#18 · Kolhapurcell 4800005724
distance 0.169
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":4800004981}}}'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.