Evidence / snapshot 2026-07-11

References and source notes.

The skill is a synthesis across long-trajectory reliability, verification, multi-agent diversity, orchestration, and current vendor guidance. The Cycle Double Cover prompt is an exemplar, not the sole foundation.

How to read this page

Preprint means an arXiv manuscript that may not have completed peer review. Vendor means first-party guidance or reporting, often based on undisclosed internal evaluations. Primary means the direct research or evaluation artifact. Synthesis means interpretation assembled for this skill.

Findings are scoped to the tasks, models, and evaluators studied. Directional mechanisms are not universal effect sizes. Living vendor documentation should be rechecked before model-specific use.

01 / Case study

Cycle Double Cover prompt

A concrete demonstration of the brief anatomy. It does not establish that the candidate theorem is correct or that any individual prompt block caused the result.

Vendor artifact

Prompt used for “A Proof of the Cycle Double Cover Conjecture” ↗

Demonstrates definitions, exact scope, named partial results, dynamic parallel search, blocked-route bookkeeping, adversarial checks, an effort floor, and a strict return condition.

Caveat: “Up to 64 agents” is available capacity, not evidence that 64 ran continuously. Completion time and effectiveness are vendor-reported; no component ablation is public.

Vendor candidate

A Proof of the Cycle Double Cover Conjecture ↗

Illustrates why candidate generation and accepted result are different pipeline stages.

Caveat: The proof was unreviewed: it had no independent peer review, Lean/Coq formalization, or arXiv posting at publication. This site does not describe the conjecture as solved.

02 / Research

Persistence and stopping

Why long trajectories drift, why one-time budget reminders decay, and why verified progress must live outside the prompt.

Preprint

Push Your Agent / PushBench ↗

Supports external verified-progress ledgers, backlog tracking, and artifact-checkable stopping. Ledger-based controllers substantially improved specified large-quantity tasks where prompt-only configurations failed.

Scope: Reported success ranges apply to the tested configurations; they are not a general agent success rate.

Preprint

BudgetThinker ↗

Supports periodic budget-state reminders from the harness rather than relying on a budget stated once at launch.

Boundary: Reminder effectiveness does not replace hard runtime limits.

Preprint

Measuring AI Ability to Complete Long Tasks ↗

Supports investment in reliability, checkpointing, and mistake recovery as models complete longer tasks.

Scope: Historical time-horizon trends are estimates, not forward guarantees or direct prompt ablations.

Primary evaluation

METR predeployment evaluation of GPT-5.6 Sol ↗

Supports pairing stronger persistence with independent verification and anti-gaming controls.

Scope: Cheating rates and time-horizon sensitivity are specific to METR's evaluated models and setup. The report does not prove that persistence prompting causes cheating.

03 / Research

Verification bottlenecks

Parallel candidate generation scales faster than reliable candidate selection. The brief therefore needs as much design attention on verification as generation.

Preprint

Large Language Monkeys ↗

Supports verifier investment as any-sample coverage grows faster than practical answer selection.

Scope: Scaling and selector plateaus are measured in the paper's settings, not guaranteed universally.

Preprint

QEDBench ↗

Supports enumerated mathematical failure modes and verification outside the generating run; studied judges were systematically lenient toward incomplete proofs.

Scope: Mathematical proof judging does not establish the same failure rate in every domain.

Preprint

ProofBench / ProofGrader ↗

Supports graded rubric-based candidate selection over unstructured binary judgment.

Scope: Expert-agreement and oracle-gap results are benchmark-specific.

Preprint

Prover-Verifier Games ↗

Supports generator legibility and adversarial checking as complementary mechanisms.

Boundary: Training-time results are indirect evidence for prompt-time verifier agents.

04 / Research

Diversity and orchestration

Why role labels are insufficient, early communication can collapse search, and durable route state prevents repeated dead ends.

ACL Findings

Diversity Collapse in Multi-Agent LLM Systems ↗

Supports early independence, sparse communication, and caution around authority-driven convergence.

Scope: Dense communication is not inherently harmful; effects depend on topology and task.

Preprint

ParaThinker ↗

Supports parallel width as a countermeasure to sequential tunnel vision in tested reasoning settings.

Preprint

OPE ↗

Supports explicit solution-space partitioning and diverse outlines before candidate development.

Preprint

AOrchestra ↗

Supports runtime synthesis of each worker's instruction, context, tools, and model rather than relying on static role labels.

Scope: Reported relative gains are against selected baselines and benchmarks.

Preprint

DeLM ↗

Supports durable shared state for verified findings, failures, and falsified hypotheses.

Boundary: Shared state must be verified and scoped or it can itself cause convergence and contamination.

05 / Living guidance

Vendor guidance

Useful operational doctrine, but model-specific and volatile. Vendor convergence is not independent scientific validation.

OpenAI

Codex prompting guide ↗

Plan closure, promise discipline, and working-artifact defaults; explicitly Codex-specific.

OpenAI

Prompt guidance ↗

Outcome-first prompting, minimal baselines, decision rules, and restrained invariants.

OpenAI

GPT-5.6 Sol prompt guidance ↗

Lean prompts, completion bars, retrieval stop rules, and verification loops. Reported evaluation gains are vendor-internal and directional.

OpenAI beta

Multi-agent API guide ↗

Root/subagent trees, context isolation, bounded delegation, and serial-task anti-patterns.

Anthropic living docs

Prompting Claude Fable 5 ↗

Evidence-grounded progress reporting and restraint around over-delegation. Internal “nearly eliminated” claims lack a published protocol.

06 / Reproducibility

Repository artifacts

The website is a reading surface. These files are the auditable source of truth.