Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960001700
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
0.115
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960002595
distance 0.115
#2 · Solapurcell 4960001824
distance 0.121
#3 · Solapurcell 4960003441
distance 0.128
#4 · Solapurcell 4960002884
distance 0.17
#5 · Solapurcell 4960002896
distance 0.175
#6 · Solapurcell 4960002199
distance 0.189
#7 · Solapurcell 4960003852
distance 0.197
#8 · Sanglicell 4930002803
distance 0.198 · cross-district
#9 · Solapurcell 4960005912
distance 0.2
#10 · Sanglicell 4930004754
distance 0.202 · cross-district
#11 · Solapurcell 4960007502
distance 0.207
#12 · Solapurcell 4960007112
distance 0.208
#13 · Solapurcell 4960000494
distance 0.212
#14 · Parbhanicell 4890000801
distance 0.214 · cross-district
#15 · Beedcell 4700007688
distance 0.217 · cross-district
#16 · Sanglicell 4930002621
distance 0.225 · cross-district
#17 · Solapurcell 4960002746
distance 0.23
#18 · Buldhanacell 4720001911
distance 0.233 · 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":4960001700}}}'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.