Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960001708
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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.222
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960003606
distance 0.222
#2 · Solapurcell 4960003688
distance 0.224
#3 · Solapurcell 4960002633
distance 0.233
#4 · Solapurcell 4960005788
distance 0.242
#5 · Solapurcell 4960001160
distance 0.247
#6 · Solapurcell 4960003333
distance 0.252
#7 · Solapurcell 4960003079
distance 0.257
#8 · Solapurcell 4960002860
distance 0.261
#9 · Washimcell 4990000273
distance 0.263 · cross-district
#10 · Dharashivcell 4880000323
distance 0.265 · cross-district
#11 · Solapurcell 4960000924
distance 0.266
#12 · Solapurcell 4960005304
distance 0.266
#13 · Yavatmalcell 5000006378
distance 0.27 · cross-district
#14 · Dharashivcell 4880003547
distance 0.271 · cross-district
#15 · Buldhanacell 4720000942
distance 0.271 · cross-district
#16 · Solapurcell 4960006190
distance 0.271
#17 · Solapurcell 4960004771
distance 0.274
#18 · Solapurcell 4960003178
distance 0.275
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":4960001708}}}'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.