Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800004575
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
0.31
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800004226
distance 0.31
#2 · Kolhapurcell 4800005091
distance 0.334
#3 · Kolhapurcell 4800004321
distance 0.356
#4 · Kolhapurcell 4800004912
distance 0.363
#5 · Kolhapurcell 4800006078
distance 0.364
#6 · Kolhapurcell 4800003302
distance 0.399
#7 · Kolhapurcell 4800004574
distance 0.415
#8 · Kolhapurcell 4800006103
distance 0.421
#9 · Ratnagiricell 4920003335
distance 0.424 · cross-district
#10 · Kolhapurcell 4800002767
distance 0.425
#11 · Kolhapurcell 4800005881
distance 0.427
#12 · Ratnagiricell 4920002951
distance 0.446 · cross-district
#13 · Palgharcell 6650004404
distance 0.451 · cross-district
#14 · Kolhapurcell 4800004080
distance 0.455
#15 · Sataracell 4940005930
distance 0.458 · cross-district
#16 · Nashikcell 4870002338
distance 0.461 · cross-district
#17 · Kolhapurcell 4800003926
distance 0.463
#18 · Kolhapurcell 4800006107
distance 0.465
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":4800004575}}}'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.