coordination
multi-agent-coordination-transcripts
Multi Agent Coordination Transcripts
Rights & intended use: legacy public research corpus / portfolio
artifact. Hosted frontier-model outputs are research-only inputs under
project policy (synthetic-factory#161):
intended_use: research_only, project_training_policy: blocked. Not
training data for any model-weight update. Machine-readable record:
rights.json.
Release status: The raw, uncurated payload is now published under
data/raw/. It is available for inspection and… See the full description on the dataset page: https://huggingface.co/datasets/rmems/multi-agent-coordination-transcripts.public-agent-coordination-artifacts
Public Agent Coordination Artifacts
Real, complete edits and posts that AI agents left on public wikis and paste sites —
collected as open evidence for studying how autonomous agents use shared online spaces to
remember things, signal each other, and coordinate. It's the behavior spotlighted by the
mid-2026 OpenAI–Hugging Face agent incident,
here as raw public data researchers can actually inspect — plus a small, hand-reviewed map
of how specific artifacts relate.… See the full description on the dataset page: https://huggingface.co/datasets/leonidas1712/public-agent-coordination-artifacts.2026.IC.Logical-Copy-Coordination
Isolated Logical-Copy Coordination
Confirmatory v3 closure battery
The latest release contains 11,584 actually paired trials (23,168 isolated root tasks; 26,478
successful provider calls) across five preregistered families: actual-by-stated model identity,
decision thresholds, randomized label conventions, complementary serializer/parser code, and
shared/private/no randomness at two temperatures. Behavioral failures remain intention-to-treat
zeros. Every accepted… See the full description on the dataset page: https://huggingface.co/datasets/siddharthmb/2026.IC.Logical-Copy-Coordination.agent-coordination-shape-outcomes
Per-Task Agent Coordination Shape Outcomes
What this dataset is
When you orchestrate LLM agents, you choose a coordination shape before running anything: solve with a
single agent, fan out and vote, decompose into parallel subtasks, chain a draft through critique,
or run an orchestrator-workers topology. Which shape is best changes from task to task, but is it predictable
per task?
This dataset is the evidence to answer that. It runs all five shapes on 159 hard… See the full description on the dataset page: https://huggingface.co/datasets/soren19/agent-coordination-shape-outcomes.two-arm-coordination2026.AC.Copy-Coordination-Battery
2026.AC.Copy-Coordination-Battery
Full call-level transcripts and the pooled analysis for a preregistered battery asking whether isolated copies of one language model coordinate with each other without any communication channel, and whether that coordination is decision-theoretic (FDT/UDT-style reasoning about being a copy) or merely shared focal points that any two similar models would share.
38,204 records across four subject models — claude-fable-5, claude-opus-5… See the full description on the dataset page: https://huggingface.co/datasets/siddharthmb/2026.AC.Copy-Coordination-Battery.
