Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800001321
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
0.167
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800002059
distance 0.167
#2 · Kolhapurcell 4800002111
distance 0.188
#3 · Kolhapurcell 4800001610
distance 0.199
#4 · Kolhapurcell 4800001320
distance 0.202
#5 · Kolhapurcell 4800001331
distance 0.209
#6 · Kolhapurcell 4800001338
distance 0.22
#7 · Kolhapurcell 4800001440
distance 0.227
#8 · Kolhapurcell 4800001716
distance 0.231
#9 · Kolhapurcell 4800000810
distance 0.232
#10 · Kolhapurcell 4800002352
distance 0.233
#11 · Dharashivcell 4880003529
distance 0.233 · cross-district
#12 · Kolhapurcell 4800001663
distance 0.233
#13 · Kolhapurcell 4800001270
distance 0.24
#14 · Dharashivcell 4880003210
distance 0.247 · cross-district
#15 · Dharashivcell 4880003847
distance 0.251 · cross-district
#16 · Kolhapurcell 4800002486
distance 0.253
#17 · Kolhapurcell 4800001324
distance 0.253
#18 · Solapurcell 4960009797
distance 0.253 · 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":480,"cluster_id":4800001321}}}'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.