Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800003896
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.153
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930000179
distance 0.153 · cross-district
#2 · Kolhapurcell 4800003820
distance 0.162
#3 · Solapurcell 4960010221
distance 0.174 · cross-district
#4 · Kolhapurcell 4800004800
distance 0.177
#5 · Kolhapurcell 4800004450
distance 0.196
#6 · Sanglicell 4930000145
distance 0.201 · cross-district
#7 · Kolhapurcell 4800004625
distance 0.203
#8 · Kolhapurcell 4800003681
distance 0.208
#9 · Kolhapurcell 4800004204
distance 0.209
#10 · Kolhapurcell 4800004449
distance 0.209
#11 · Kolhapurcell 4800003490
distance 0.209
#12 · Kolhapurcell 4800004630
distance 0.21
#13 · Kolhapurcell 4800003550
distance 0.212
#14 · Punecell 4900005678
distance 0.212 · cross-district
#15 · Sanglicell 4930000180
distance 0.212 · cross-district
#16 · Kolhapurcell 4800005232
distance 0.214
#17 · Kolhapurcell 4800003743
distance 0.215
#18 · Kolhapurcell 4800003890
distance 0.216
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":4800003896}}}'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.