Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800005009
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.327
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800004232
distance 0.327
#2 · Kolhapurcell 4800005944
distance 0.328
#3 · Kolhapurcell 4800003206
distance 0.339
#4 · Kolhapurcell 4800002810
distance 0.342
#5 · Sanglicell 4930000884
distance 0.343 · cross-district
#6 · Kolhapurcell 4800003839
distance 0.349
#7 · Kolhapurcell 4800005817
distance 0.351
#8 · Kolhapurcell 4800005171
distance 0.353
#9 · Nashikcell 4870000088
distance 0.358 · cross-district
#10 · Kolhapurcell 4800003982
distance 0.359
#11 · Kolhapurcell 4800004145
distance 0.362
#12 · Kolhapurcell 4800005095
distance 0.364
#13 · Nashikcell 4870009457
distance 0.365 · cross-district
#14 · Kolhapurcell 4800004835
distance 0.367
#15 · Kolhapurcell 4800003564
distance 0.369
#16 · Kolhapurcell 4800003914
distance 0.372
#17 · Nashikcell 4870008759
distance 0.373 · cross-district
#18 · Nashikcell 4870001058
distance 0.375 · 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":4800005009}}}'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.