Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800006340
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
0.193
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800006341
distance 0.193
#2 · Kolhapurcell 4800006033
distance 0.202
#3 · Kolhapurcell 4800006331
distance 0.208
#4 · Kolhapurcell 4800006159
distance 0.233
#5 · Sanglicell 4930002986
distance 0.239 · cross-district
#6 · Kolhapurcell 4800006342
distance 0.252
#7 · Kolhapurcell 4800006229
distance 0.261
#8 · Kolhapurcell 4800006233
distance 0.265
#9 · Kolhapurcell 4800006337
distance 0.268
#10 · Sanglicell 4930001494
distance 0.279 · cross-district
#11 · Sanglicell 4930002310
distance 0.28 · cross-district
#12 · Kolhapurcell 4800006232
distance 0.286
#13 · Kolhapurcell 4800005937
distance 0.3
#14 · Kolhapurcell 4800003659
distance 0.3
#15 · Kolhapurcell 4800005931
distance 0.3
#16 · Sanglicell 4930002142
distance 0.305 · cross-district
#17 · Sataracell 4940000691
distance 0.307 · cross-district
#18 · Kolhapurcell 4800006047
distance 0.311
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":4800006340}}}'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.