Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800006342
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
0.156
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930002986
distance 0.156 · cross-district
#2 · Kolhapurcell 4800006233
distance 0.194
#3 · Kolhapurcell 4800006159
distance 0.198
#4 · Kolhapurcell 4800006329
distance 0.2
#5 · Kolhapurcell 4800006341
distance 0.203
#6 · Kolhapurcell 4800006110
distance 0.215
#7 · Kolhapurcell 4800006131
distance 0.229
#8 · Kolhapurcell 4800005938
distance 0.248
#9 · Kolhapurcell 4800006340
distance 0.252
#10 · Kolhapurcell 4800006135
distance 0.254
#11 · Sataracell 4940000002
distance 0.256 · cross-district
#12 · Sanglicell 4930003861
distance 0.258 · cross-district
#13 · Sanglicell 4930001979
distance 0.269 · cross-district
#14 · Kolhapurcell 4800006235
distance 0.271
#15 · Kolhapurcell 4800006312
distance 0.275
#16 · Kolhapurcell 4800005931
distance 0.277
#17 · Sanglicell 4930003516
distance 0.287 · cross-district
#18 · Kolhapurcell 4800006234
distance 0.289
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":4800006342}}}'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.