Mixed campaigncomputer science · machine-learning research and meta-science
Lossfunk preserves one completed and three failed research attempts
A six-agent research pipeline completed one workshop paper while three other ideas failed during implementation or evaluation, with workflow prompts and per-attempt failure analyses published together.
Editorial context
What happened
The four ideas share one research workflow. A multi-agent reinforcement-learning idea failed during implementation, two world-model ideas failed during evaluation, and a semantic-entropy jailbreak-detection paper completed the pipeline. The set is a compact example of why campaigns should remain connected. Publishing only the completed paper would hide three quarters of the attempted research and erase the reported failure modes.
Keep in view
Workshop acceptance is not independent confirmation of the completed paper's claims. The artifact repository had no visible license file at the research cutoff, so the archive links rather than mirrors its prompt text.
Chronology
Timeline
Four end-to-end machine-learning research attempts were conductedattempt · year date
The completed paper appeared at Agents4Science 2025verification · day date
Four-attempt report, workflow prompts, artifacts, and failure analyses releasedpreprint · day date
Trust boundaries
Validation
One paper passed human and multi-AI review at an experimental workshop; three attempts did not reach a defensible paper.
The public repository explicitly labels the implementation and evaluation failure stages instead of inferring failure from absent outputs.
System
AI and tools
- Lossfunk AI Scientist pipeline
- Six specialized LLM agents
People
Human contributors
- Dhruv Trehan
- Paras Chopra
Organizations
Affiliations
- Lossfunk
Primary materials