Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800002742
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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.158
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800002833
distance 0.158
#2 · Kolhapurcell 4800002688
distance 0.167
#3 · Kolhapurcell 4800002741
distance 0.178
#4 · Kolhapurcell 4800002791
distance 0.215
#5 · Kolhapurcell 4800002883
distance 0.216
#6 · Kolhapurcell 4800002871
distance 0.224
#7 · Kolhapurcell 4800002960
distance 0.23
#8 · Kolhapurcell 4800002879
distance 0.232
#9 · Kolhapurcell 4800002929
distance 0.234
#10 · Beedcell 4700002127
distance 0.238 · cross-district
#11 · Kolhapurcell 4800002839
distance 0.239
#12 · Sataracell 4940000822
distance 0.242 · cross-district
#13 · Kolhapurcell 4800002588
distance 0.243
#14 · Kolhapurcell 4800002590
distance 0.244
#15 · Kolhapurcell 4800002877
distance 0.245
#16 · Solapurcell 4960008170
distance 0.245 · cross-district
#17 · Sataracell 4940000825
distance 0.251 · cross-district
#18 · Sanglicell 4930001570
distance 0.254 · 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":4800002742}}}'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.