Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800004890
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
0.146
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800004624
distance 0.146
#2 · Kolhapurcell 4800004715
distance 0.168
#3 · Kolhapurcell 4800004369
distance 0.183
#4 · Kolhapurcell 4800004045
distance 0.186
#5 · Kolhapurcell 4800004799
distance 0.191
#6 · Sanglicell 4930006532
distance 0.191 · cross-district
#7 · Kolhapurcell 4800003897
distance 0.197
#8 · Kolhapurcell 4800004797
distance 0.199
#9 · Sanglicell 4930006118
distance 0.199 · cross-district
#10 · Kolhapurcell 4800004622
distance 0.201
#11 · Punecell 4900000663
distance 0.202 · cross-district
#12 · Kolhapurcell 4800004630
distance 0.21
#13 · Kolhapurcell 4800004367
distance 0.214
#14 · Kolhapurcell 4800004450
distance 0.215
#15 · Kolhapurcell 4800005637
distance 0.216
#16 · Sanglicell 4930000179
distance 0.216 · cross-district
#17 · Sanglicell 4930005183
distance 0.221 · cross-district
#18 · Kolhapurcell 4800004449
distance 0.223
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":4800004890}}}'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.