Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890001300
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 5 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.203
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890001363
distance 0.203
#2 · Parbhanicell 4890001427
distance 0.212
#3 · Parbhanicell 4890001425
distance 0.241
#4 · Parbhanicell 4890001175
distance 0.259
#5 · Parbhanicell 4890001299
distance 0.268
#6 · Parbhanicell 4890001169
distance 0.284
#7 · Parbhanicell 4890001597
distance 0.287
#8 · Parbhanicell 4890001288
distance 0.316
#9 · Beedcell 4700000509
distance 0.317 · cross-district
#10 · Laturcell 4810004319
distance 0.321 · cross-district
#11 · Laturcell 4810005398
distance 0.325 · cross-district
#12 · Parbhanicell 4890001286
distance 0.334
#13 · Amravaticell 4680001114
distance 0.34 · cross-district
#14 · Parbhanicell 4890001593
distance 0.342
#15 · Parbhanicell 4890001933
distance 0.344
#16 · Parbhanicell 4890002268
distance 0.345
#17 · Jalgaoncell 4780001182
distance 0.346 · cross-district
#18 · Parbhanicell 4890001360
distance 0.347
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":4890001300}}}'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.