Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800000091
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.382
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800005091
distance 0.382
#2 · Sindhudurgcell 4950000164
distance 0.415 · cross-district
#3 · Kolhapurcell 4800000075
distance 0.423
#4 · Kolhapurcell 4800004574
distance 0.431
#5 · Kolhapurcell 4800002767
distance 0.433
#6 · Kolhapurcell 4800003925
distance 0.436
#7 · Kolhapurcell 4800004080
distance 0.439
#8 · Kolhapurcell 4800005004
distance 0.44
#9 · Kolhapurcell 4800003926
distance 0.442
#10 · Kolhapurcell 4800002766
distance 0.445
#11 · Raigadcell 4910003175
distance 0.453 · cross-district
#12 · Raigadcell 4910001988
distance 0.454 · cross-district
#13 · Kolhapurcell 4800003577
distance 0.454
#14 · Raigadcell 4910003143
distance 0.456 · cross-district
#15 · Raigadcell 4910003484
distance 0.456 · cross-district
#16 · Kolhapurcell 4800002990
distance 0.458
#17 · Kolhapurcell 4800002903
distance 0.459
#18 · Kolhapurcell 4800004240
distance 0.461
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":4800000091}}}'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.