# kaal:claim:6192998-038

**Claim.** Citation weighted reputation solves the problem that when one agent fine tunes a base model and another specializes it, current platforms give the first agent no mechanism for ongoing credit, and thereby enables sustainable open development.

**Type.** design  **Support.** argued

**Holds when.**

- AI agent ecosystems building on each other's model contributions

**Source quote.**

> When Agent A fine-tunes a base model creating capabilities that Agent B then specializes, current platforms provide no mechanism for A to receive ongoing credit. Citation-weighted reputation solves this, enabling sustainable open development.

**From.** Wulf A. Kaal, *Evolution of Domain-Specific Reputation Systems From Binary Validation to Citation-Weighted Knowledge Attribution* (2026), VII.B. Implications for AI Agent Ecosystems, page 57

**Cite as.** Wulf A. Kaal, Evolution of Domain-Specific Reputation Systems From Binary Validation to Citation-Weighted Knowledge Attribution (2026). SSRN: https://ssrn.com/abstract=6192998

**Verify.** sha256 of source PDF `b04292561ee041e0c9eaa7eca28a410ed440e76a95743a539361a3f76c97f2b3` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202026%20-%20Evolution%20of%20Domain-Specific%20Reputation%20Systems%20From%20Binary%20Validation%20to%20Citation-Weighted%20Knowledge%20Attribution.pdf

**Topics.** ai-and-agents, citation-and-knowledge

**Keywords.** ai-agents, foundation-models, attribution, open-development, citation-weighting

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