Bhārata Strata · Maharashtra · Jalna · morphological twins
Places like cell 4790006621
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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.08
lower = more alike (weighted)
The twins, closest first
#1 · Jalnacell 4790006609
distance 0.08
#2 · Jalnacell 4790006610
distance 0.087
#3 · Jalgaoncell 4780001331
distance 0.095 · cross-district
#4 · Jalnacell 4790006620
distance 0.11
#5 · Jalnacell 4790006598
distance 0.114
#6 · Jalgaoncell 4780001244
distance 0.118 · cross-district
#7 · Jalnacell 4790006629
distance 0.128
#8 · Jalnacell 4790006575
distance 0.13
#9 · Jalnacell 4790006566
distance 0.132
#10 · Jalnacell 4790006568
distance 0.136
#11 · Jalnacell 4790006569
distance 0.141
#12 · Jalgaoncell 4780001087
distance 0.143 · cross-district
#13 · Jalnacell 4790006585
distance 0.145
#14 · Jalnacell 4790006597
distance 0.145
#15 · Nagpurcell 4840005656
distance 0.146 · cross-district
#16 · Buldhanacell 4720004114
distance 0.148 · cross-district
#17 · Buldhanacell 4720008272
distance 0.152 · cross-district
#18 · Buldhanacell 4720003586
distance 0.152 · 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":4790006621}}}'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.