Bhārata Strata · Maharashtra · Wardha · morphological twins

Places like cell 4980001108

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

across 1 distinct districts

Index confidence

0.93

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.112

lower = more alike (weighted)

The twins, closest first

#1 · Wardhacell 4980001014

distance 0.112

#2 · Wardhacell 4980000839

distance 0.114

#3 · Wardhacell 4980001394

distance 0.116

#4 · Wardhacell 4980001397

distance 0.117

#5 · Wardhacell 4980001955

distance 0.123

#6 · Wardhacell 4980001497

distance 0.128

#7 · Wardhacell 4980001775

distance 0.129

#8 · Wardhacell 4980001114

distance 0.129

#9 · Wardhacell 4980000911

distance 0.133

#10 · Wardhacell 4980002378

distance 0.135

#11 · Wardhacell 4980000926

distance 0.135

#12 · Wardhacell 4980001489

distance 0.135

#13 · Wardhacell 4980001109

distance 0.136

#14 · Wardhacell 4980001482

distance 0.136

#15 · Wardhacell 4980001591

distance 0.138

#16 · Wardhacell 4980001487

distance 0.139

#17 · Wardhacell 4980001496

distance 0.139

#18 · Wardhacell 4980001298

distance 0.145

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":4980001108}}}'

Machine-readable JSON twin →Full dossier →

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.