Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800001296
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 4 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.355
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800001295
distance 0.355
#2 · Kolhapurcell 4800001479
distance 0.358
#3 · Kolhapurcell 4800001417
distance 0.359
#4 · Kolhapurcell 4800002361
distance 0.362
#5 · Kolhapurcell 4800001299
distance 0.374
#6 · Chandrapurcell 4730004733
distance 0.377 · cross-district
#7 · Kolhapurcell 4800001362
distance 0.387
#8 · Kolhapurcell 4800001759
distance 0.393
#9 · Kolhapurcell 4800002047
distance 0.394
#10 · Kolhapurcell 4800001645
distance 0.395
#11 · Kolhapurcell 4800001300
distance 0.399
#12 · Kolhapurcell 4800001301
distance 0.4
#13 · Chandrapurcell 4730006970
distance 0.404 · cross-district
#14 · Yavatmalcell 5000008496
distance 0.41 · cross-district
#15 · Kolhapurcell 4800001370
distance 0.416
#16 · Kolhapurcell 4800001470
distance 0.42
#17 · Parbhanicell 4890002050
distance 0.421 · cross-district
#18 · Kolhapurcell 4800002191
distance 0.422
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":4800001296}}}'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.