Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880004279
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
45
morphology-v2 feature dimensions
Closest twin distance
0.068
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700000132
distance 0.068 · cross-district
#2 · Dharashivcell 4880004708
distance 0.073
#3 · Dharashivcell 4880006085
distance 0.074
#4 · Beedcell 4700000131
distance 0.083 · cross-district
#5 · Solapurcell 4960012235
distance 0.093 · cross-district
#6 · Dharashivcell 4880005001
distance 0.093
#7 · Dharashivcell 4880004447
distance 0.095
#8 · Dharashivcell 4880005490
distance 0.099
#9 · Dharashivcell 4880005763
distance 0.1
#10 · Beedcell 4700005290
distance 0.104 · cross-district
#11 · Dharashivcell 4880004998
distance 0.105
#12 · Dharashivcell 4880005752
distance 0.108
#13 · Dharashivcell 4880005587
distance 0.108
#14 · Dharashivcell 4880004283
distance 0.108
#15 · Dharashivcell 4880004997
distance 0.108
#16 · Dharashivcell 4880004996
distance 0.109
#17 · Dharashivcell 4880006155
distance 0.11
#18 · Dharashivcell 4880006153
distance 0.115
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":4880004279}}}'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.