Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960001449
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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.145
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960006010
distance 0.145
#2 · Solapurcell 4960007485
distance 0.151
#3 · Solapurcell 4960001222
distance 0.156
#4 · Solapurcell 4960001332
distance 0.16
#5 · Solapurcell 4960001562
distance 0.162
#6 · Solapurcell 4960004120
distance 0.163
#7 · Solapurcell 4960001860
distance 0.167
#8 · Solapurcell 4960002515
distance 0.167
#9 · Solapurcell 4960006821
distance 0.167
#10 · Beedcell 4700007149
distance 0.177 · cross-district
#11 · Solapurcell 4960001442
distance 0.177
#12 · Solapurcell 4960002732
distance 0.178
#13 · Dharashivcell 4880000410
distance 0.178 · cross-district
#14 · Solapurcell 4960001806
distance 0.179
#15 · Beedcell 4700006559
distance 0.18 · cross-district
#16 · Jalnacell 4790004172
distance 0.18 · cross-district
#17 · Beedcell 4700005710
distance 0.181 · cross-district
#18 · Beedcell 4700000945
distance 0.185 · 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":4960001449}}}'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.