research-pipeline

Full Research Pipeline: Idea → Experiments → Submission

⏱ External cadence: non-judgmental heartbeat only. An overnight /loop / CronCreate heartbeat may wake, detect a stalled phase (no progress, dead process, blocked on a freed resource) and nudge it forward — it may NEVER decide the work is good (paper good enough, proof holds, claim supported). Every such verdict stays on its own skill's internal cadence and terminates in the cross-model jury. A heartbeat may say "keep going," never "good enough." See shared-references/external-cadence.md (overnight-pipeline rule + stall detection & forced structural pivot). At heartbeat startup, touch the run state first each tick and register this run with the watchdog loop type (so a silent death surfaces as STALE); unregister on completion. The watchdog only detects — it never acquits. Each tick also record the new-finding count via the iteration_log.py helper (resolve through the canonical .aris/tools → tools → $ARIS_REPO/tools → $ARIS_REPO/tools via ~/.aris/repo chain, integration-contract §2; warn-and-skip if unresolved): python3 "$ITER_LOG" note <root> <run_id> <phase> <n>. On the returned pivot=structural (stale ≥ 2) the nudge must change a STRUCTURAL constraint and pick an untried direction; on pivot=human (stale ≥ 4) flag for attention. Counting only — never a quality verdict.

End-to-end autonomous research workflow for: $ARGUMENTS

Constants

• AUTO_PROCEED = true — When true, every selection checkpoint is informational: report the choice and continue in the same turn. When false, ask for explicit user confirmation and end the turn at the checkpoint.
• ARXIV_DOWNLOAD = false — When true, /research-lit downloads the top relevant arXiv PDFs during literature survey. When false (default), only fetches metadata via arXiv API. Passed through to /idea-discovery → /research-lit.
• HUMAN_CHECKPOINT = false — When true, the auto-review loops (Stage 3) pause after each round's review to let you see the score and provide custom modification instructions before fixes are implemented. When false (default), loops run fully autonomously. Passed through to /auto-review-loop.
• REVIEWER_DIFFICULTY = medium — How adversarial the reviewer is. medium (default): standard MCP review. hard: adds reviewer memory + debate protocol. nightmare: GPT reads repo directly via codex exec + memory + debate. Passed through to /auto-review-loop.
• CODE_REVIEW = true — GPT-6-Astra xhigh reviews experiment code before deployment. Catches logic bugs before wasting GPU hours. Set false to skip. Passed through to /experiment-bridge.
• BASE_REPO = false — GitHub repo URL to use as base codebase. When set, /experiment-bridge clones the repo first and implements experiments on top of it. When false (default), writes code from scratch or reuses existing project files. Passed through to /experiment-bridge.
• COMPACT = false — When true, generates compact summary files for short-context models and session recovery. Passed through to /idea-discovery and /experiment-bridge.
• AUTO_WRITE = false — When true, automatically invoke Workflow 3 (/paper-writing) after Stage 4. VENUE is needed only when Stage 5 begins — a missing venue defers paper writing; it never blocks Stages 1-4. When false (default), Stage 4 generates NARRATIVE_REPORT.md and stops — user invokes /paper-writing manually.
• VENUE = (unset) — Target venue for paper writing; bound only when Stage 5 begins. Options: ICLR, NeurIPS, ICML, CVPR, ACL, AAAI, ACM, IEEE_CONF, IEEE_JOURNAL. No default: a missing venue defers paper writing — it never blocks Stages 1-4 and is never guessed.
• RENDER_HTML = true — When true (default), auto-render NARRATIVE_REPORT.md to HTML at Stage 4 completion via /render-html. Uses --no-review (this is an internal handoff doc to /paper-writing, not a reviewer-facing final artifact — the upstream Stage 3 auto-review loop already cross-model-reviewed the claims). Set false to skip, or pass — render html: false. Non-blocking: if /render-html fails or Codex MCP is unavailable, log the failure and continue — the HTML view is a nice-to-have, not a Stage 4 prerequisite.