Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960001116
The MH-36 locality cells most similar to this Solapur 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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.168
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960006949
distance 0.168
#2 · Solapurcell 4960002867
distance 0.181
#3 · Solapurcell 4960000229
distance 0.193
#4 · Solapurcell 4960000734
distance 0.197
#5 · Solapurcell 4960002314
distance 0.198
#6 · Dharashivcell 4880000764
distance 0.2 · cross-district
#7 · Solapurcell 4960000234
distance 0.201
#8 · Solapurcell 4960000816
distance 0.204
#9 · Sanglicell 4930004593
distance 0.206 · cross-district
#10 · Solapurcell 4960001221
distance 0.214
#11 · Solapurcell 4960000140
distance 0.215
#12 · Buldhanacell 4720005087
distance 0.215 · cross-district
#13 · Solapurcell 4960001561
distance 0.218
#14 · Solapurcell 4960002570
distance 0.223
#15 · Solapurcell 4960003069
distance 0.225
#16 · Solapurcell 4960007220
distance 0.23
#17 · Buldhanacell 4720006268
distance 0.231 · cross-district
#18 · Sanglicell 4930005007
distance 0.233 · 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":496,"cluster_id":4960001116}}}'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.