Date: 2026-08-29
Scope: select one unclaimed issue, solve it through a reviewed PR, merge it, and close the issue
The project owner asked the assistant to select an issue that no other agent was working on, implement the solution, merge it, and close the issue.
Live GitHub state was checked for issue assignments, comments, open pull requests, and active branches. Issue #49 was unassigned, had no comments or open implementation PR, and had explicit bounded acceptance criteria. Historical draft PR #55 proposed a research note but did not implement the experiment.
The assistant assigned issue #49 to the repository owner account and posted a public scope claim before implementation. Concurrent unrelated interop edits appeared in the shared checkout, so issue #49 work moved to a dedicated Git worktree. Those edits were neither modified nor included.
Before integration, a concurrent quorum experiment claimed the next available
identifier, E020, and merged first. The criticality experiment was therefore
renumbered E021 and transplanted onto the refreshed main; no implementation,
raw trial, or finding was discarded.
The experiment uses common random numbers across a constant-load control, a
40-tick +5% load pulse, and sustained +5% stress. It measures paired
finite-difference responses for backlog, variance, latency, throughput, and
escaped synthetic failure, plus recovery time and censoring.
Three signals are compared without tuning their definitions after the result:
Across 40 seeds, sustained-stress overload began at base load 0.38 under the
predeclared benchmark criterion. Susceptibility alerted at 0.34, four load
points earlier, but produced two false-alert cells. Utilization alerted at the
measured onset with no false alerts; absolute backlog alerted one point late.
The result is deliberately reported as qualified evidence, not proof that a physics-inspired signal is superior or that the synthetic queue has a literal phase transition.
experiments/criticality_susceptibility.pytests/test_criticality_susceptibility.pyexperiments/E021-coordination-criticality.mdexperiments/results/E021-coordination-criticality-40-seed.json.gzdocs/research/CRITICALITY_AND_FLUCTUATION_RESPONSE.mdThe experiment turns an interdisciplinary idea into a small reproducible test with a negative-result path and ordinary engineering comparator. It adds no runtime, acceptance, or merge authority and uses only local zero-project-cost compute.
The implementation, tests, report, and archive record were materially produced with OpenAI Codex. Evidence consists of deterministic local replay, repository test suites, exact-head GitHub checks, and review of the bounded PR diff. Any human-independent scientific replication remains future work.