Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960007743
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
0.106
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960002065
distance 0.106
#2 · Solapurcell 4960002066
distance 0.118
#3 · Solapurcell 4960006157
distance 0.12
#4 · Solapurcell 4960006693
distance 0.126
#5 · Solapurcell 4960004566
distance 0.128
#6 · Solapurcell 4960004878
distance 0.128
#7 · Solapurcell 4960006293
distance 0.129
#8 · Solapurcell 4960001121
distance 0.129
#9 · Solapurcell 4960006692
distance 0.13
#10 · Solapurcell 4960002171
distance 0.134
#11 · Solapurcell 4960002183
distance 0.136
#12 · Parbhanicell 4890004655
distance 0.137 · cross-district
#13 · Parbhanicell 4890004479
distance 0.137 · cross-district
#14 · Parbhanicell 4890004328
distance 0.137 · cross-district
#15 · Solapurcell 4960007084
distance 0.141
#16 · Solapurcell 4960001338
distance 0.142
#17 · Parbhanicell 4890004522
distance 0.142 · cross-district
#18 · Parbhanicell 4890004179
distance 0.142 · 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":4960007743}}}'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.