Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960007810
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.191
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960008167
distance 0.191
#2 · Solapurcell 4960007935
distance 0.2
#3 · Solapurcell 4960007686
distance 0.202
#4 · Solapurcell 4960007438
distance 0.213
#5 · Solapurcell 4960008389
distance 0.213
#6 · Jalgaoncell 4780008457
distance 0.224 · cross-district
#7 · Solapurcell 4960011482
distance 0.237
#8 · Solapurcell 4960007930
distance 0.239
#9 · Punecell 4900000144
distance 0.247 · cross-district
#10 · Solapurcell 4960008381
distance 0.247
#11 · Solapurcell 4960008055
distance 0.252
#12 · Solapurcell 4960008163
distance 0.257
#13 · Solapurcell 4960007158
distance 0.258
#14 · Punecell 4900000209
distance 0.258 · cross-district
#15 · Jalgaoncell 4780008871
distance 0.261 · cross-district
#16 · Punecell 4900000163
distance 0.262 · cross-district
#17 · Solapurcell 4960010977
distance 0.263
#18 · Punecell 4900001082
distance 0.264 · 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":4960007810}}}'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.