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Science, DecodedContext Jamming

Prompt Lab

Prompts that keep a model honest

Fill in the blanks, copy, and paste into Claude or ChatGPT. Every prompt makes the model keep quotation, paraphrase and inference apart, label evidence with the six-level scale, and say “not in the provided text” rather than invent a citation.

This page calls no AI model. It only assembles text for you to copy. Whatever a model sends back is a hypothesis until you have checked it against the paper.

Reading & explaining

Flagship workflow


First pass on a new paper

Turn an unfamiliar paper into a reading map before you invest an hour in it.

Your inputs

Empty fields fall back to the example shown in grey.

Assembled prompt · nothing has been sent anywhere

You are a careful research methodologist helping a scientifically literate non-specialist read a paper. I can follow sophisticated arguments but I am still building fluency in notation. Ground rules (follow all of them): - Work ONLY from the text I provide plus well-established textbook knowledge. If something is not in the provided text, write "not in the provided text". If you are unsure, write "I don't know". - Keep three things visibly separate: (a) QUOTED — short verbatim quotes from the source, in quotation marks; (b) PARAPHRASE — what the source says, in your words; (c) INFERENCE — your own reasoning, labelled as such. - Tag every substantive claim with one evidence status: [established] textbook result; [empirical] measured regularity with a limited range; [model] deliberately simplified mathematical model; [theory] formal proposal or conjecture; [analogy] resemblance only; [speculation] untested or untestable as stated. - Never invent citations, authors, years, section numbers, equations, or numerical results. If you mention any work I did not give you, mark it "UNVERIFIED — check before use". - Prefer "this suggests" or "this is consistent with" over "this proves" unless a proof is actually given. Paper: Scaling Laws for Neural Language Models (2001.08361) Text (abstract plus any sections I pasted): """ Paste text here… """ Produce: 1. RESEARCH QUESTION — one sentence ending in a question mark. 2. CLAIMS — bullet list of what the authors actually claim, each tagged with evidence status. Include the conditions each claim depends on. 3. KEY VARIABLES — each symbol or variable, what it means, and whether it is measured, fitted, or assumed. 4. KEY EQUATION — the single most important equation (only if it appears in the text), read left to right in plain English. 5. EVIDENCE TYPE — experiment, observation, proof, simulation, benchmark, or argument? How strong, and for what scope? 6. LIMITATIONS — those the authors state (quote briefly) and those you infer (label INFERENCE). 7. WHAT TO READ NEXT IN THIS PAPER — which section or figure, and why. 8. THREE QUESTIONS I SHOULD ASK THE AUTHORS.
Open Claude ↗Open ChatGPT ↗

Tips

  • Paste the actual text. A model that has to recall a paper from memory is where most fabrication starts.
  • Run it once, then ask: "Which of your claims did you NOT find in the text I pasted?"