Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800006389
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
0.252
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800006179
distance 0.252
#2 · Kolhapurcell 4800006323
distance 0.256
#3 · Kolhapurcell 4800005927
distance 0.301
#4 · Sataracell 4940002483
distance 0.308 · cross-district
#5 · Kolhapurcell 4800006206
distance 0.326
#6 · Kolhapurcell 4800006413
distance 0.335
#7 · Sanglicell 4930004489
distance 0.344 · cross-district
#8 · Kolhapurcell 4800005806
distance 0.347
#9 · Kolhapurcell 4800005336
distance 0.348
#10 · Kolhapurcell 4800005928
distance 0.352
#11 · Sataracell 4940000455
distance 0.354 · cross-district
#12 · Sataracell 4940000630
distance 0.358 · cross-district
#13 · Kolhapurcell 4800005418
distance 0.358
#14 · Kolhapurcell 4800006377
distance 0.362
#15 · Kolhapurcell 4800006257
distance 0.363
#16 · Sataracell 4940005581
distance 0.363 · cross-district
#17 · Kolhapurcell 4800005947
distance 0.368
#18 · Kolhapurcell 4800003847
distance 0.37
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":4800006389}}}'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.