Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960004973
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.134
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960006770
distance 0.134
#2 · Solapurcell 4960006372
distance 0.14
#3 · Solapurcell 4960007789
distance 0.151
#4 · Solapurcell 4960005418
distance 0.166
#5 · Solapurcell 4960005837
distance 0.166
#6 · Punecell 4900000584
distance 0.168 · cross-district
#7 · Solapurcell 4960007783
distance 0.171
#8 · Solapurcell 4960006499
distance 0.173
#9 · Solapurcell 4960007683
distance 0.175
#10 · Sataracell 4940007062
distance 0.175 · cross-district
#11 · Sataracell 4940008423
distance 0.176 · cross-district
#12 · Solapurcell 4960006371
distance 0.178
#13 · Solapurcell 4960005113
distance 0.183
#14 · Solapurcell 4960008163
distance 0.184
#15 · Sataracell 4940008429
distance 0.185 · cross-district
#16 · Punecell 4900001623
distance 0.186 · cross-district
#17 · Solapurcell 4960008166
distance 0.187
#18 · Punecell 4900000299
distance 0.19 · 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":4960004973}}}'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.