Bhārata Strata · Maharashtra · Latur · morphological twins
Places like cell 4810004530
The MH-36 locality cells most similar to this Latur 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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.149
lower = more alike (weighted)
The twins, closest first
#1 · Laturcell 4810005357
distance 0.149
#2 · Laturcell 4810004613
distance 0.153
#3 · Nandedcell 4850001399
distance 0.179 · cross-district
#4 · Nandedcell 4850001275
distance 0.186 · cross-district
#5 · Laturcell 4810003919
distance 0.186
#6 · Nandedcell 4850001691
distance 0.198 · cross-district
#7 · Laturcell 4810003811
distance 0.2
#8 · Parbhanicell 4890000016
distance 0.201 · cross-district
#9 · Laturcell 4810004431
distance 0.201
#10 · Laturcell 4810005503
distance 0.203
#11 · Laturcell 4810003716
distance 0.206
#12 · Nandedcell 4850001469
distance 0.207 · cross-district
#13 · Dharashivcell 4880002373
distance 0.208 · cross-district
#14 · Laturcell 4810006062
distance 0.209
#15 · Laturcell 4810003794
distance 0.211
#16 · Laturcell 4810003816
distance 0.211
#17 · Laturcell 4810004809
distance 0.213
#18 · Dharashivcell 4880003587
distance 0.213 · 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":481,"cluster_id":4810004530}}}'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.