Research & academic workflows

Research paper summarization workflow with human review

You need to triage 30 papers a week but can't read them all, and AI summaries hallucinate citations.

Submit your version of this workflow Submit your version Subscribe
Audience
Research & academic workflows
Problem
You need to triage 30 papers a week but can't read them all, and AI summaries hallucinate citations.
Outcome
You get a 5-line summary, claim-level citations, and a 'should I read it' verdict in 4 minutes per paper — with hallucinated claims caught before they enter your notes.
Tools used
  • PDF reader
  • An LLM with citation handling
  • Plain reference manager
  • Your own notebook
Time required
4 minutes per paper · 20 minutes per batch
Difficulty
Medium

Steps

  1. Define the 5 fields: claim, method, sample size, result, your relevance note.
  2. Feed the paper to the LLM only after stripping sensitive subject data (where applicable).
  3. Ask the LLM to extract claims with quoted source spans, not paraphrases.
  4. Spot-check at least 3 claims against the paper itself. If any fails, discard the summary.
  5. Save only verified claims into your notes — never the raw LLM output.

Example output

Claim: 'Method X improves recall by 12%' [p.4, ¶3]. Method: replication study. Sample: 1,200 docs. Result: confirmed within 1%. Relevance: relevant for our retrieval workflow.

Human-review point. Reviewer must verify each claim's source span before saving. LLM may not assign novelty, citation count, or topical importance.
Privacy notes. Do not feed unpublished, embargoed, or human-subjects data to a third-party LLM. Use a local model or redact.

Fork and remix ideas

  • Adapt for grant-proposal triage.
  • Adapt for journalism source review.
  • Pair with a weekly lit-review newsletter.
related workflows

Keep going.

These pair well with this workflow.

Founder & operator workflows · Easy AI meeting notes to action tracker workflow

Meeting recordings pile up. Decisions and owners get lost the next morning.

 Healthcare & business ops workflows · Easy Customer support FAQ gap-mining workflow

Your FAQ answers what you assumed users would ask, not what they're actually asking — and the gap shows up as support load.

 Founder & operator workflows · Easy AI tool evaluation scorecard workflow

New AI tools ship every week. You can't evaluate them all, and bad tool choices cost months.

submit yours

Have a better version of this workflow?

Send the audience, the problem, the steps, and what you'd never automate. We review every submission with a human before publishing.

Submit a workflow Join the 4-week challenge