Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890004756
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.121
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890004187
distance 0.121
#2 · Jalnacell 4790001497
distance 0.123 · cross-district
#3 · Parbhanicell 4890005102
distance 0.136
#4 · Parbhanicell 4890004938
distance 0.145
#5 · Parbhanicell 4890001573
distance 0.15
#6 · Parbhanicell 4890004290
distance 0.152
#7 · Parbhanicell 4890005141
distance 0.156
#8 · Jalnacell 4790001812
distance 0.156 · cross-district
#9 · Parbhanicell 4890005455
distance 0.157
#10 · Parbhanicell 4890004008
distance 0.158
#11 · Parbhanicell 4890004378
distance 0.159
#12 · Parbhanicell 4890005445
distance 0.162
#13 · Parbhanicell 4890005458
distance 0.163
#14 · Parbhanicell 4890004331
distance 0.163
#15 · Jalnacell 4790002649
distance 0.167 · cross-district
#16 · Parbhanicell 4890004845
distance 0.167
#17 · Amravaticell 4680004761
distance 0.167 · cross-district
#18 · Jalnacell 4790000424
distance 0.168 · 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":489,"cluster_id":4890004756}}}'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.