Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890000654
The MH-36 locality cells most similar to this Parbhani 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 2 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.081
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890000655
distance 0.081
#2 · Parbhanicell 4890000386
distance 0.14
#3 · Parbhanicell 4890000800
distance 0.145
#4 · Parbhanicell 4890000500
distance 0.147
#5 · Parbhanicell 4890001523
distance 0.153
#6 · Buldhanacell 4720002032
distance 0.153 · cross-district
#7 · Parbhanicell 4890000883
distance 0.155
#8 · Parbhanicell 4890001374
distance 0.158
#9 · Parbhanicell 4890001444
distance 0.164
#10 · Buldhanacell 4720002031
distance 0.165 · cross-district
#11 · Parbhanicell 4890000630
distance 0.166
#12 · Parbhanicell 4890000546
distance 0.167
#13 · Buldhanacell 4720002035
distance 0.169 · cross-district
#14 · Buldhanacell 4720002169
distance 0.169 · cross-district
#15 · Parbhanicell 4890001054
distance 0.17
#16 · Parbhanicell 4890000354
distance 0.17
#17 · Parbhanicell 4890000825
distance 0.172
#18 · Parbhanicell 4890000540
distance 0.173
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":489,"cluster_id":4890000654}}}'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.