{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "liyingze07-svg-effectiveautoresearch-ear--draft-evidence-linked-rebuttal",
 "repo": "liyingze07-svg/EffectiveAutoResearch-EAR-",
 "repo_url": "https://github.com/liyingze07-svg/EffectiveAutoResearch-EAR-",
 "repo_slug": "liyingze07-svg-effectiveautoresearch-ear",
 "title": "Draft evidence-linked replies to reviewer comments",
 "page_title": "How to draft evidence-linked replies to reviewer comments with Effective Auto Research EAR",
 "summary": "Use AutoRebuttal to tie each reviewer concern to paper evidence before writing replies.",
 "who": "An author preparing a rebuttal who has a paper and a set of reviewer comments and needs replies that point to evidence.",
 "problem": "Replies written without checking the paper can overstate results or miss concerns, and the AC comment is easy to mix with the replies.",
 "outcome": "Evidence-linked replies, an AC comment, and an unresolved-concern ledger kept as separate outputs.",
 "steps": [
  "Gather the paper and the reviewer comments as module inputs, as described in rebuttal/.",
  "Complete the live setup in docs/getting-started.md, following docs/getting-started.md#prepare-a-rebuttal-case.",
  "Run the AutoRebuttal workflow from the rebuttal/ folder, using the exact command given in the linked guide. (inferred, check the README)",
  "Check each reply against the paper evidence it cites, and check the staged review results in the rebuttal/ outputs.",
  "Keep the replies, the AC comment and the unresolved-concern ledger in separate files before you submit anything."
 ],
 "agent_prompt": "In the repo liyingze07-svg/EffectiveAutoResearch-EAR-, follow docs/getting-started.md to prepare a rebuttal for the paper <paper-path> and reviewer comments <comments-path>. Expected output is evidence-linked replies, an AC comment and an unresolved-concern ledger as separate files. Verify that every reply cites a specific passage or result in the paper before you report it as supported.",
 "agents": [
  "codex"
 ],
 "difficulty": "Advanced",
 "time": "120 minutes",
 "basis": "readme",
 "caveat": "The outputs are drafts that still need author review, since the README describes staged checks but does not guarantee that a reply will persuade a reviewer.",
 "category": "Research",
 "tags": [
  "Research"
 ],
 "lang": "python",
 "requirements": [
  "Python 3.10 or newer",
  "git, to clone the repository",
  "For live research only: an authenticated Codex or Claude setup and the module dependencies described in docs/getting-started.md"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [
  {
   "tag": "credentials",
   "notice": "Live rebuttal runs use your own authenticated model account, so do not paste account credentials into the paper or comment inputs."
  }
 ],
 "best": false,
 "score": 0.7,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/liyingze07-svg-effectiveautoresearch-ear/draft-evidence-linked-rebuttal/",
 "md": "https://dedupedai.com/use-cases/liyingze07-svg-effectiveautoresearch-ear/draft-evidence-linked-rebuttal/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/liyingze07-svg-effectiveautoresearch-ear--draft-evidence-linked-rebuttal.json",
 "api_version": "v1"
}
