Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960012281
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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.051
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960012375
distance 0.051
#2 · Solapurcell 4960012332
distance 0.072
#3 · Dharashivcell 4880004837
distance 0.083 · cross-district
#4 · Solapurcell 4960012651
distance 0.105
#5 · Solapurcell 4960012658
distance 0.11
#6 · Solapurcell 4960012481
distance 0.122
#7 · Solapurcell 4960012657
distance 0.123
#8 · Solapurcell 4960012333
distance 0.133
#9 · Solapurcell 4960012495
distance 0.135
#10 · Dharashivcell 4880004559
distance 0.14 · cross-district
#11 · Solapurcell 4960012633
distance 0.14
#12 · Solapurcell 4960012326
distance 0.144
#13 · Solapurcell 4960012598
distance 0.144
#14 · Ahmednagarcell 4660000773
distance 0.145 · cross-district
#15 · Ahmednagarcell 4660001032
distance 0.146 · cross-district
#16 · Solapurcell 4960012572
distance 0.146
#17 · Beedcell 4700005084
distance 0.147 · cross-district
#18 · Solapurcell 4960012603
distance 0.148
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":4960012281}}}'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.