Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960007566
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
0.166
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960007434
distance 0.166
#2 · Solapurcell 4960006644
distance 0.172
#3 · Solapurcell 4960007028
distance 0.188
#4 · Solapurcell 4960005708
distance 0.192
#5 · Solapurcell 4960008056
distance 0.201
#6 · Punecell 4900000835
distance 0.208 · cross-district
#7 · Punecell 4900000046
distance 0.213 · cross-district
#8 · Solapurcell 4960006516
distance 0.214
#9 · Sataracell 4940008612
distance 0.215 · cross-district
#10 · Punecell 4900000038
distance 0.217 · cross-district
#11 · Solapurcell 4960007812
distance 0.218
#12 · Solapurcell 4960006897
distance 0.219
#13 · Solapurcell 4960007302
distance 0.222
#14 · Solapurcell 4960006764
distance 0.223
#15 · Solapurcell 4960009396
distance 0.223
#16 · Sataracell 4940008613
distance 0.224 · cross-district
#17 · Solapurcell 4960006636
distance 0.229
#18 · Punecell 4900002197
distance 0.23 · 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":4960007566}}}'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.