The winning extension is a staged latent execution plan with risk-controlled speculation — not a bigger future-tool classifier
Asked:
“best way to extend this work to reach a main paper result? look at simila rmain papers at top venues liek aaai, neurips etc and craft a research pathway with success confiendec, which is unqiue and high odds to pass a top paper bar”
Six proposed research stages with subjective technical-success estimates from 58% to 85%, plus seven accepted main-track precedent papers at NeurIPS, ICML, ICLR, EMNLP and MLSys anchoring the design. Estimated top-main-track acceptance today: 15–25%; conditional on every stated gate, strong writing and a clean artifact: 30–45%. No plan gives genuinely high odds — the honest goal is to maximize a conditional chance.
The stage-gated pathway: each stage carries its go/no-go gate and confidence
Bar length = subjective technical-success confidence (a planning estimate, not a statistical probability). Hover a stage for its deliverable, target and kill criterion. Blue = scientific stages, green = method/systems stages, dark = packaging. The funnel ends at the venue fork below.
Venue fork — where to submit depends on which claim survives
MLSysBest fit if real end-to-end serving gains hold under real APIs and local tools — measured latency, cost and waste, not proxy accuracy.
NeurIPS / ICML / ICLRBest fit if the staged latent-plan phenomenon plus OOD and causal/matched-counterfactual evidence is the strongest result.
AAAI / ACL / EMNLPBest fit if the agent benchmark and the practical staged-speculation method are the strongest contribution.
Decisive recommended targets (goals, not achieved facts)
Task success preserved within 1 percentage point of no speculation
Speculative waste below 10% at useful coverage
At least 20% p50 and 15% p95 end-to-end latency reduction on two realistic latency distributions
Reproduce the current effect within 3 points on at least 3 of 4 model families, ≥15 points over action-only controls
OOD and matched-counterfactual robustness beyond action-only and Markov shortcuts
One risk–coverage/wasted-work guarantee and one explicit negative-result boundary
Accepted-paper evidence matrix — why this combination is differentiated
The closest accepted template turns activation prediction into calibrated interventions with 91% jailbreak reduction and 65% average inference-cost savings across 27 datasets — proving reviewers reward probe→action, not probe accuracy alone.
arxiv.orgICML 2025 shows internal signals earn top-venue weight when causal-mechanism evidence supports out-of-distribution robustness — the reason stage 3 exists even though it is the riskiest (58%).
arxiv.orgICLR 2026 planning work characterizes horizon and branch awareness rather than one classifier score — a bigger probe benchmark alone would not clear the bar it already set.
arxiv.orgMLSys 2026 precedent reports 10–20× TTFT reductions in two non-chat use cases — systems venues expect measured end-to-end gains, which is why stage 5 forbids artificial multi-second sleeps as the only evidence.
proceedings.mlsys.org
Full execution checklist
| Stage / paper | Deliverable or lesson | Target or evidence | Gate or risk | Conf. |
|---|
Single result set, 13 rows: 6 proposed roadmap stages (analyst plan; confidence figures are subjective planning estimates, not statistical probabilities) and 7 accepted main-track precedent papers. Research conducted 2026-09-02 from live web sources, prioritizing official proceedings and primary paper text. Acceptance-chance figures (15–25% today, 30–45% conditional on all gates) are subjective. Long quotes trimmed for space; full text behind each source link.