Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800004973
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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.163
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800005047
distance 0.163
#2 · Kolhapurcell 4800004287
distance 0.2
#3 · Kolhapurcell 4800004796
distance 0.211
#4 · Kolhapurcell 4800005138
distance 0.231
#5 · Kolhapurcell 4800005228
distance 0.236
#6 · Amravaticell 4680002479
distance 0.239 · cross-district
#7 · Solapurcell 4960008024
distance 0.241 · cross-district
#8 · Kolhapurcell 4800004607
distance 0.244
#9 · Kolhapurcell 4800005057
distance 0.248
#10 · Kolhapurcell 4800004709
distance 0.25
#11 · Sanglicell 4930002333
distance 0.253 · cross-district
#12 · Sanglicell 4930002503
distance 0.253 · cross-district
#13 · Kolhapurcell 4800005718
distance 0.258
#14 · Kolhapurcell 4800003954
distance 0.26
#15 · Kolhapurcell 4800004966
distance 0.264
#16 · Kolhapurcell 4800005052
distance 0.264
#17 · Sataracell 4940005587
distance 0.277 · cross-district
#18 · Kolhapurcell 4800004958
distance 0.287
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":4800004973}}}'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.