TAO $223.83+3.6% 24h
43

Graphite

sn43UnclassifiedElevated risk55Avoid25

Awesome repository for Bittensor's Subnet 43. Join us in graphing the future.

Emission
0.010
TAO / day · live
Alpha
0.0191
τ · mcap 58.8K
Top-slot payout
0.000
τ per winning epoch · live

Chain-evidence assessment

A transparent heuristic over the signals subtensor storage can prove — not an accusation. Every subscore cites the exact storage map it was computed from. Signals that need metagraph or transfer history are listed below as not modeled.

55
Elevated risk
Emission concentration ×0.5050

Share of live emissions captured by the single top-ranked miner.

Development dormancy ×0.30100

Days since the registered repo was last pushed (live GitHub metadata).

Emission status ×0.200

Emissions enabled and flowing on chain.

Assessment

model provenance

Confidence85%
Computed3m ago
Enginetaonets-integrity live-chain v1
Inputssubtensor storage + GitHub pushes
Weights renormalize over the subscores that have data; `confidence` reports how much of the model was assessable. Nothing is filled in with placeholders.

Not modeled

signals we refuse to fake

  • Owner self-miningneeds transfer history
  • Validator oligopolyneeds metagraph
  • Registration captureneeds per-uid history

These arrive when taonets runs its own indexer. Until then this page shows only what the chain can prove — a shorter list, but a true one.

Evidence ledger

every flagged signal, with its chain reference

Registered repo has no pushes for 339 days

GitHub pushed_at, fetched live for the repo registered in SubnetIdentitiesV3. The subnet still emits 0 τ/day.

subscore: zombie repo

Raw inputs

the storage values this assessment was computed from

SubnetTaoInEmission
1034 rao/block
Emission (top-1 share)
49.8%
Emission (top-10 share)
100.0%
SubnetEmissionEnabled
true
FirstEmissionBlockNumber
5,228,683
GitHub pushed_at
11mo ago
Active (uids)
4
Burn
0.1000 τ

Cluster classification (Unclassified) is derived from the repo's own text — see the GitHub tab. Live state syncs on the worker's schedule; see methodology for the full model.

Integrity · Taonets