[arXiv Research] Agentic Workflow Improvements — 2026-09-29

[github-actions[bot]]

Screened 25 new arXiv papers from titles and abstracts. PDF investigation and sub-agent screening were not run, and the ledger, index and dedup cache were not updated, because script execution was denied in this run. The picks below are based on abstracts only.

Top opportunities

1. TokenCast: Forecasting Token Consumption During LLM Agent Execution (2609.35760)

   • Area: token optimization.
   • Idea: Estimate a run's cumulative token cost per execution segment, including the extra input cost from context re-read on every later call. Use the estimate for budget guardrails or early abort in gh aw audit and the token-optimizer workflows.

2. Continuous Context Management (2609.35540)

   • Area: token optimization and memory.
   • Idea: Compact the history every turn into a retained memory, so the prompt holds the task, the memory and the newest observation instead of the full transcript. This substantially cuts cumulative input tokens, but lowered task success for most models tested. Worth testing as an opt-in for long-running workflows, with a task-success check.

3. Failure-Transparent Agents (2609.35732)

   • Area: safe outputs and reliability.
   • Idea: Agents often report success after a tool failure without supporting evidence. Add prompt or safe-output checks that require evidence-backed claims when a tool failed, and audit for false-success reports.

Also relevant

• Report: Progressive Disclosure of Agent Skills (2609.35692): lazy-loading skills improves retrieval quality but slightly hurts latency. This supports the repo's lazy skill-loading policy.

Generated by 🔬 arXiv Paper Researcher: GitHub Agentic Workflows · copilot · large · 34.3 AIC · ⌖ 13.4 AIC · ⊞ 10.4K · ◷

• expires on Oct 13, 2026, 12:46 AM UTC-08:00