Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960006834
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
0.245
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960004889
distance 0.245
#2 · Solapurcell 4960000839
distance 0.247
#3 · Dharashivcell 4880003382
distance 0.249 · cross-district
#4 · Dharashivcell 4880002791
distance 0.253 · cross-district
#5 · Solapurcell 4960005447
distance 0.254
#6 · Solapurcell 4960007099
distance 0.254
#7 · Solapurcell 4960005850
distance 0.258
#8 · Solapurcell 4960005046
distance 0.261
#9 · Solapurcell 4960001960
distance 0.261
#10 · Solapurcell 4960005034
distance 0.264
#11 · Solapurcell 4960007757
distance 0.266
#12 · Jalgaoncell 4780001209
distance 0.27 · cross-district
#13 · Solapurcell 4960012439
distance 0.271
#14 · Solapurcell 4960005577
distance 0.271
#15 · Beedcell 4700007779
distance 0.271 · cross-district
#16 · Solapurcell 4960006704
distance 0.273
#17 · Solapurcell 4960006841
distance 0.276
#18 · Ahmednagarcell 4660006817
distance 0.276 · 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":4960006834}}}'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.