Bhārata Strata · Maharashtra · Washim · morphological twins
Places like cell 4990004176
The MH-36 locality cells most similar to this Washim 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 6 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.109
lower = more alike (weighted)
The twins, closest first
#1 · Washimcell 4990003960
distance 0.109
#2 · Akolacell 4670001331
distance 0.143 · cross-district
#3 · Washimcell 4990004119
distance 0.159
#4 · Washimcell 4990004003
distance 0.163
#5 · Parbhanicell 4890000684
distance 0.168 · cross-district
#6 · Dharashivcell 4880005674
distance 0.169 · cross-district
#7 · Washimcell 4990003800
distance 0.174
#8 · Yavatmalcell 5000010898
distance 0.176 · cross-district
#9 · Washimcell 4990000948
distance 0.177
#10 · Dharashivcell 4880005850
distance 0.177 · cross-district
#11 · Washimcell 4990003925
distance 0.178
#12 · Washimcell 4990004177
distance 0.179
#13 · Solapurcell 4960000707
distance 0.18 · cross-district
#14 · Washimcell 4990001014
distance 0.181
#15 · Washimcell 4990001327
distance 0.183
#16 · Washimcell 4990003018
distance 0.184
#17 · Washimcell 4990000947
distance 0.184
#18 · Washimcell 4990002558
distance 0.188
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":499,"cluster_id":4990004176}}}'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.