Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960000673
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
0.176
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960000624
distance 0.176
#2 · Solapurcell 4960001005
distance 0.183
#3 · Solapurcell 4960002069
distance 0.186
#4 · Solapurcell 4960001002
distance 0.189
#5 · Solapurcell 4960000358
distance 0.189
#6 · Solapurcell 4960000905
distance 0.191
#7 · Solapurcell 4960001000
distance 0.197
#8 · Solapurcell 4960003301
distance 0.2
#9 · Solapurcell 4960000675
distance 0.202
#10 · Dharashivcell 4880002025
distance 0.207 · cross-district
#11 · Solapurcell 4960000419
distance 0.208
#12 · Sanglicell 4930002977
distance 0.209 · cross-district
#13 · Sanglicell 4930004326
distance 0.209 · cross-district
#14 · Sanglicell 4930004017
distance 0.211 · cross-district
#15 · Solapurcell 4960000420
distance 0.213
#16 · Beedcell 4700003001
distance 0.213 · cross-district
#17 · Solapurcell 4960000999
distance 0.216
#18 · Sanglicell 4930004744
distance 0.216 · 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":4960000673}}}'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.