Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800004365
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
0.145
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800004283
distance 0.145
#2 · Kolhapurcell 4800005145
distance 0.196
#3 · Kolhapurcell 4800004886
distance 0.208
#4 · Kolhapurcell 4800005225
distance 0.221
#5 · Kolhapurcell 4800003891
distance 0.223
#6 · Kolhapurcell 4800003972
distance 0.226
#7 · Kolhapurcell 4800004708
distance 0.228
#8 · Kolhapurcell 4800004436
distance 0.238
#9 · Kolhapurcell 4800004271
distance 0.24
#10 · Sanglicell 4930000215
distance 0.242 · cross-district
#11 · Kolhapurcell 4800005212
distance 0.254
#12 · Kolhapurcell 4800004971
distance 0.257
#13 · Sanglicell 4930001015
distance 0.259 · cross-district
#14 · Punecell 4900000516
distance 0.262 · cross-district
#15 · Sataracell 4940006045
distance 0.263 · cross-district
#16 · Kolhapurcell 4800004878
distance 0.267
#17 · Kolhapurcell 4800005146
distance 0.271
#18 · Jalgaoncell 4780008431
distance 0.272 · cross-district
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":4800004365}}}'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.