Ingest the work
We analyze the paper, code repository, public data, and stated dependencies as one connected artifact.
AI-assisted reproducibility
Research,
reproduced.
We reconstruct and execute published computational workflows, then deliver an auditable account of what reproduced, what did not, and why.
PAPER
Scaling behavior in sparse
computational systems
8/ 10
REPORTED RESULTS REPRODUCED
Core findings verified2 results blocked by missing assumptions
Figure 2Matched within reported tolerance
REPRODUCED
Table 1All metrics independently verified
REPRODUCED
Figure 4Random seed not specified
NEEDS INPUT
From publication to execution.
A paper is a claim.
We turn it into evidence.
01 / THE WORKFLOW
Reproduction,
end to end.
Bullet Research’s AI agents read, reconstruct, execute, and document the full computational workflow under expert supervision.
Rebuild & execute
We reconstruct the environment, resolve assumptions, and run the reported analyses in an isolated workspace.
Verify the claims
Reported metrics and figures are compared against fresh outputs, with tolerances and deviations recorded.
Deliver the record
Authors receive a private runnable workflow and a precise report of results, blockers, and missing assumptions.
02 / BUILT FOR TRUST
More signal for authors.
Less friction for reviewers.
Reports and runnable workflows stay with authors and organizers. Nothing is publicly scored.
Every environment, command, output, deviation, and intervention is recorded.
AI accelerates the work. Researchers remain in control of interpretation and judgment.
Pilot program
Make reproducibility
part of the work.
We’re partnering with a small number of reproducibility-focused workshops and artifact-evaluation groups for a free pilot of up to 10 voluntary submissions.
- Private runnable workflow for every author
- Detailed, auditable reproduction report
- Anonymized aggregate findings for organizers
- No automated acceptance decisions or public scoring