Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960008178
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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.22
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960008060
distance 0.22
#2 · Solapurcell 4960008507
distance 0.24
#3 · Solapurcell 4960008506
distance 0.252
#4 · Solapurcell 4960009680
distance 0.259
#5 · Solapurcell 4960008601
distance 0.272
#6 · Solapurcell 4960008400
distance 0.278
#7 · Punecell 4900000148
distance 0.286 · cross-district
#8 · Dharashivcell 4880003714
distance 0.289 · cross-district
#9 · Solapurcell 4960008180
distance 0.31
#10 · Solapurcell 4960008179
distance 0.313
#11 · Solapurcell 4960008294
distance 0.32
#12 · Chhatrapati Sambhajinagarcell 4690004642
distance 0.334 · cross-district
#13 · Solapurcell 4960007179
distance 0.337
#14 · Solapurcell 4960007821
distance 0.34
#15 · Solapurcell 4960010827
distance 0.343
#16 · Sataracell 4940000117
distance 0.346 · cross-district
#17 · Punecell 4900000086
distance 0.353 · cross-district
#18 · Solapurcell 4960009759
distance 0.355
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":4960008178}}}'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.