Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960002562
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.099
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960002685
distance 0.099
#2 · Solapurcell 4960002705
distance 0.116
#3 · Solapurcell 4960001200
distance 0.117
#4 · Solapurcell 4960001094
distance 0.117
#5 · Solapurcell 4960001201
distance 0.146
#6 · Solapurcell 4960003398
distance 0.155
#7 · Solapurcell 4960002017
distance 0.165
#8 · Buldhanacell 4720003681
distance 0.165 · cross-district
#9 · Solapurcell 4960001314
distance 0.168
#10 · Solapurcell 4960003673
distance 0.17
#11 · Solapurcell 4960001544
distance 0.172
#12 · Buldhanacell 4720006897
distance 0.172 · cross-district
#13 · Solapurcell 4960001414
distance 0.174
#14 · Buldhanacell 4720003678
distance 0.176 · cross-district
#15 · Buldhanacell 4720003370
distance 0.177 · cross-district
#16 · Solapurcell 4960008194
distance 0.177
#17 · Buldhanacell 4720003754
distance 0.177 · cross-district
#18 · Solapurcell 4960008095
distance 0.178
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":4960002562}}}'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.