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Marketplace

Reproduction bounties

Pool a stake on any paper that has not been independently reproduced. Reproducers claim the pot by linking a successful sandboxed run on the paper's registered repository. Stakes pool per paper.

Open bounties
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Total staked
$0
Awarded
0
Settlement pausedPledges are public commitments and nothing is charged. Payouts stay paused until escrow and dispute adjudication ship; until then, settlement happens directly between backers and the reproducer.
01

Stake

Pick a paper that hasn’t been reproduced and pledge an amount. Stakes from multiple backers pool into one pot per paper.

02

Reproduce

Run the AutoXiv reproduction agent on the registered repository, or reproduce by hand, then submit a claim linking the run.

03

Award

The bounty creator reviews claims against the stated requirements and accepts the first one that holds up. The board keeps the history.

Bounty board

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Pick an unreproduced paper below and open the first pot.

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Post a bounty

FedSIR: Spectral Client Identification and Relabeling for Federated Learning with Noisy Labels
Staking on a paper that already has an open bounty adds your pledge to its pot.

Needs a bounty

Recent papers with code and no successful reproduction yet.

Fundamental Machine Learning Algorithms Implemented from Scratch in Python
cs.LG · Authors pending
Stake a bounty →
micrograd: A tiny scalar-valued autograd engine and neural net library
cs.LG · Authors pending
Stake a bounty →
FedSIR: Spectral Client Identification and Relabeling for Federated Learning with Noisy Labels
Formal Sciences · Gholami, Ali, Haghighi +2
Stake a bounty →
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