Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800006402
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
43
morphology-v2 feature dimensions
Closest twin distance
0.192
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930003852
distance 0.192 · cross-district
#2 · Kolhapurcell 4800006326
distance 0.235
#3 · Sanglicell 4930003155
distance 0.247 · cross-district
#4 · Kolhapurcell 4800006357
distance 0.258
#5 · Kolhapurcell 4800006049
distance 0.26
#6 · Kolhapurcell 4800006391
distance 0.262
#7 · Kolhapurcell 4800006370
distance 0.265
#8 · Kolhapurcell 4800006425
distance 0.266
#9 · Kolhapurcell 4800006302
distance 0.267
#10 · Sanglicell 4930001809
distance 0.27 · cross-district
#11 · Kolhapurcell 4800006259
distance 0.27
#12 · Kolhapurcell 4800006037
distance 0.271
#13 · Kolhapurcell 4800005988
distance 0.273
#14 · Kolhapurcell 4800006151
distance 0.278
#15 · Kolhapurcell 4800005880
distance 0.28
#16 · Sanglicell 4930003335
distance 0.282 · cross-district
#17 · Sanglicell 4930003156
distance 0.283 · cross-district
#18 · Kolhapurcell 4800006338
distance 0.284
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":4800006402}}}'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.