Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960002196
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 2 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.074
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960003173
distance 0.074
#2 · Solapurcell 4960002323
distance 0.084
#3 · Solapurcell 4960002600
distance 0.11
#4 · Solapurcell 4960002085
distance 0.115
#5 · Solapurcell 4960003037
distance 0.124
#6 · Sanglicell 4930005165
distance 0.134 · cross-district
#7 · Solapurcell 4960002197
distance 0.139
#8 · Solapurcell 4960002205
distance 0.147
#9 · Sanglicell 4930004628
distance 0.148 · cross-district
#10 · Solapurcell 4960000695
distance 0.148
#11 · Solapurcell 4960000755
distance 0.149
#12 · Sanglicell 4930005403
distance 0.15 · cross-district
#13 · Solapurcell 4960003311
distance 0.159
#14 · Sanglicell 4930005404
distance 0.162 · cross-district
#15 · Solapurcell 4960002194
distance 0.163
#16 · Solapurcell 4960002327
distance 0.164
#17 · Sanglicell 4930004620
distance 0.171 · cross-district
#18 · Sanglicell 4930005156
distance 0.171 · 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":4960002196}}}'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.