Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800002869
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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.196
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800002743
distance 0.196
#2 · Sataracell 4940000594
distance 0.205 · cross-district
#3 · Kolhapurcell 4800002775
distance 0.217
#4 · Kolhapurcell 4800002580
distance 0.246
#5 · Kolhapurcell 4800002585
distance 0.246
#6 · Kolhapurcell 4800002684
distance 0.247
#7 · Kolhapurcell 4800002741
distance 0.247
#8 · Kolhapurcell 4800003004
distance 0.252
#9 · Sataracell 4940000992
distance 0.253 · cross-district
#10 · Kolhapurcell 4800002688
distance 0.257
#11 · Kolhapurcell 4800002834
distance 0.261
#12 · Sataracell 4940000651
distance 0.261 · cross-district
#13 · Kolhapurcell 4800002923
distance 0.263
#14 · Sataracell 4940005816
distance 0.268 · cross-district
#15 · Sataracell 4940001853
distance 0.27 · cross-district
#16 · Kolhapurcell 4800002786
distance 0.27
#17 · Kolhapurcell 4800002727
distance 0.271
#18 · Kolhapurcell 4800002930
distance 0.272
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":4800002869}}}'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.