Bhārata Strata · Maharashtra · Wardha · morphological twins
Places like cell 4980000549
The MH-36 locality cells most similar to this Wardha 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
44
morphology-v2 feature dimensions
Closest twin distance
0.066
lower = more alike (weighted)
The twins, closest first
#1 · Wardhacell 4980000265
distance 0.066
#2 · Wardhacell 4980000552
distance 0.086
#3 · Wardhacell 4980000966
distance 0.104
#4 · Wardhacell 4980000460
distance 0.107
#5 · Yavatmalcell 5000010972
distance 0.117 · cross-district
#6 · Wardhacell 4980000878
distance 0.119
#7 · Wardhacell 4980000371
distance 0.12
#8 · Wardhacell 4980000703
distance 0.125
#9 · Wardhacell 4980000311
distance 0.125
#10 · Wardhacell 4980000262
distance 0.129
#11 · Yavatmalcell 5000009702
distance 0.13 · cross-district
#12 · Wardhacell 4980000419
distance 0.132
#13 · Wardhacell 4980000315
distance 0.132
#14 · Wardhacell 4980000551
distance 0.134
#15 · Yavatmalcell 5000010963
distance 0.139 · cross-district
#16 · Amravaticell 4680000144
distance 0.139 · cross-district
#17 · Yavatmalcell 5000009596
distance 0.139 · cross-district
#18 · Yavatmalcell 5000010887
distance 0.14 · 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":498,"cluster_id":4980000549}}}'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.