Bhārata Strata · Maharashtra · Satara · morphological twins
Places like cell 4940001102
The MH-36 locality cells most similar to this Satara 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
0.202
lower = more alike (weighted)
The twins, closest first
#1 · Sataracell 4940000417
distance 0.202
#2 · Sataracell 4940001168
distance 0.228
#3 · Sataracell 4940000473
distance 0.24
#4 · Sataracell 4940000700
distance 0.257
#5 · Sataracell 4940000631
distance 0.265
#6 · Sataracell 4940005228
distance 0.271
#7 · Sataracell 4940000398
distance 0.272
#8 · Sataracell 4940001060
distance 0.277
#9 · Sataracell 4940000364
distance 0.277
#10 · Sataracell 4940000818
distance 0.282
#11 · Sataracell 4940005701
distance 0.288
#12 · Buldhanacell 4720008437
distance 0.292 · cross-district
#13 · Buldhanacell 4720008322
distance 0.292 · cross-district
#14 · Sataracell 4940005927
distance 0.294
#15 · Amravaticell 4680007651
distance 0.3 · cross-district
#16 · Buldhanacell 4720008379
distance 0.301 · cross-district
#17 · Amravaticell 4680008973
distance 0.302 · cross-district
#18 · Buldhanacell 4720008160
distance 0.303 · 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":494,"cluster_id":4940001102}}}'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.