Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800003526
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
0.166
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800003367
distance 0.166
#2 · Kolhapurcell 4800003264
distance 0.25
#3 · Kolhapurcell 4800005134
distance 0.254
#4 · Kolhapurcell 4800003781
distance 0.266
#5 · Kolhapurcell 4800002677
distance 0.27
#6 · Kolhapurcell 4800005137
distance 0.28
#7 · Kolhapurcell 4800003169
distance 0.285
#8 · Kolhapurcell 4800003795
distance 0.289
#9 · Kolhapurcell 4800003042
distance 0.297
#10 · Kolhapurcell 4800003877
distance 0.298
#11 · Kolhapurcell 4800003465
distance 0.298
#12 · Sataracell 4940004713
distance 0.299 · cross-district
#13 · Kolhapurcell 4800003806
distance 0.3
#14 · Solapurcell 4960005265
distance 0.306 · cross-district
#15 · Sataracell 4940005341
distance 0.307 · cross-district
#16 · Kolhapurcell 4800005401
distance 0.314
#17 · Sataracell 4940006482
distance 0.319 · cross-district
#18 · Sataracell 4940004709
distance 0.321 · 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":4800003526}}}'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.