Bhārata Strata · Maharashtra · Jalna · morphological twins
Places like cell 4790004121
The MH-36 locality cells most similar to this Jalna 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 5 distinct districts
Index confidence
0.93
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 · Jalnacell 4790003160
distance 0.149
#2 · Jalnacell 4790003601
distance 0.154
#3 · Jalnacell 4790002325
distance 0.156
#4 · Jalnacell 4790003269
distance 0.17
#5 · Jalnacell 4790003859
distance 0.176
#6 · Jalnacell 4790003268
distance 0.189
#7 · Jalnacell 4790002928
distance 0.194
#8 · Jalnacell 4790002340
distance 0.199
#9 · Jalnacell 4790003337
distance 0.203
#10 · Jalnacell 4790003182
distance 0.214
#11 · Jalgaoncell 4780002242
distance 0.215 · cross-district
#12 · Jalnacell 4790001840
distance 0.218
#13 · Solapurcell 4960005012
distance 0.22 · cross-district
#14 · Solapurcell 4960005165
distance 0.221 · cross-district
#15 · Jalgaoncell 4780001740
distance 0.222 · cross-district
#16 · Solapurcell 4960002051
distance 0.223 · cross-district
#17 · Buldhanacell 4720000018
distance 0.223 · cross-district
#18 · Parbhanicell 4890005108
distance 0.223 · 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":479,"cluster_id":4790004121}}}'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.