Impact dashboard
Early progress against an enormous open-literature challenge.
OpenCause Compute helps turn spare computing power into citation-backed research data from open-access cancer literature. This page tracks both the live beta activity and the long-term scale of Cancer Knowledge Miner.
Long-term corpus estimate
~42,914,036
research sections estimated from 2,665,349 eligible open-access cancer documents.
83
Validated sections processed
0
Consensus-complete sections
3
Active worker nodes
1
Volunteer profiles
Current project
Cancer Knowledge Miner
Building a structured, citation-backed map of findings from open-access cancer literature.
Progress being made
83
validated literature sections processed by early beta workers.
Each one represents a signed literature packet processed by a worker and accepted by OpenCause structure and provenance validation.
Scale of the challenge
~42,914,036
estimated research sections to process.
At full scale, independent validation may require roughly 128,742,108 worker submissions before consensus and review.
Pipeline status
Early beta is strongest in first-pass processing and structure validation. Consensus grows as independent workers process overlapping sections.
83
Worker submissions received
83
Passed structure validation
83
Awaiting independent consensus
0
Consensus complete
Eligible open-access cancer documents
2,665,349
Estimated research sections
~42,914,036
Validated share of estimated sections
<0.01%
Long-term validation progress
<0.01%
This percentage is intentionally tiny in early beta because the corpus is large. It shows the scale of the open-literature challenge, while the beta metrics above show the working pipeline gaining traction.
OpenCause Compute supports research organization and review. It does not provide medical advice, clinical findings, or accepted scientific conclusions.
Why the numbers matter
Validated sections: worker outputs that passed OpenCause structure, citation, and provenance checks. This is pipeline validation, not scientific acceptance.
Scale: open cancer literature is vast. Millions of estimated sections mean the project is designed for sustained volunteer participation, not a one-off demo.
Consensus: candidate evidence becomes more useful after independent workers process overlapping sections and reviewers can inspect the source context.
Top teams
Team impact will appear after teams are created and begin contributing validated work.