ITCS Theory Evidence & Experiments Guide

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Guides theoretical computer science authors in framing evidence, structuring proofs, and scoping auxiliary computations for ITCS conference submissions.

Designed specifically for theoretical computer science researchers targeting the Innovations in Theoretical Computer Science (ITCS) conference, this skill ensures paper submissions adhere to pure-theory evidence standards. It helps authors replace inappropriate empirical conventions (like benchmarks or performance tables) with rigorous mathematical proofs, explicit separating witnesses, worked examples, and tight-example constructions. When small computations or searches are used, it guides authors to present verifiable, static artifacts that support proved claims without violating double-blind anonymity requirements.

Key Features

01Evaluates whether claims are established via pure mathematical proof rather than empirical observation
02Guides the integration of worked examples and explicit separating objects to anchor novel theoretical models
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04Ensures auxiliary computational searches or SAT/SMT certificates remain checkable and subordinate to proofs
05Identifies and strips empirical venue anti-patterns like benchmark tables and heuristic runtime plots
06Verifies that computational artifacts maintain submission compliance and avoid double-blind anonymity leaks

Use Cases

01Structuring a computer-assisted gadget search or finite separation witness as a verifiable appendix artifact
02Reviewing a theoretical paper draft to ensure every central claim matches its required mathematical proof shape
03Transforming empirical experimental habits from ML or systems venues into ITCS-appropriate theoretical arguments