Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880005891
The MH-36 locality cells most similar to this Dharashiv 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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.148
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880006166
distance 0.148
#2 · Dharashivcell 4880005892
distance 0.157
#3 · Beedcell 4700003198
distance 0.162 · cross-district
#4 · Dharashivcell 4880006114
distance 0.176
#5 · Dharashivcell 4880005972
distance 0.178
#6 · Dharashivcell 4880006165
distance 0.198
#7 · Ahmednagarcell 4660002023
distance 0.198 · cross-district
#8 · Dharashivcell 4880006167
distance 0.203
#9 · Dharashivcell 4880006048
distance 0.204
#10 · Dharashivcell 4880005453
distance 0.206
#11 · Dharashivcell 4880005805
distance 0.206
#12 · Dharashivcell 4880005970
distance 0.21
#13 · Dharashivcell 4880005347
distance 0.215
#14 · Dharashivcell 4880005637
distance 0.216
#15 · Ahmednagarcell 4660002424
distance 0.217 · cross-district
#16 · Dharashivcell 4880005722
distance 0.219
#17 · Dharashivcell 4880006220
distance 0.223
#18 · Dharashivcell 4880005802
distance 0.223
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":488,"cluster_id":4880005891}}}'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.