Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960005567
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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.14
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960005835
distance 0.14
#2 · Solapurcell 4960005261
distance 0.174
#3 · Solapurcell 4960005262
distance 0.193
#4 · Solapurcell 4960006624
distance 0.195
#5 · Solapurcell 4960004512
distance 0.202
#6 · Sataracell 4940006944
distance 0.203 · cross-district
#7 · Solapurcell 4960003228
distance 0.203
#8 · Sataracell 4940004072
distance 0.208 · cross-district
#9 · Sanglicell 4930007070
distance 0.208 · cross-district
#10 · Solapurcell 4960005413
distance 0.209
#11 · Beedcell 4700006926
distance 0.21 · cross-district
#12 · Solapurcell 4960006629
distance 0.212
#13 · Solapurcell 4960001284
distance 0.216
#14 · Beedcell 4700007128
distance 0.216 · cross-district
#15 · Nashikcell 4870002900
distance 0.216 · cross-district
#16 · Solapurcell 4960011546
distance 0.217
#17 · Solapurcell 4960002957
distance 0.217
#18 · Solapurcell 4960002528
distance 0.22
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":4960005567}}}'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.