# kaal:claim:6269518-015

**Claim.** A PageRank-derived value distribution is only as honest as its inputs, and those inputs are generated by agents with a direct incentive to distort them, so relying entirely on the calculation to distribute value correctly fails.

**Type.** failure  **Support.** argued

**Source quote.**

> The framework relies entirely on the PageRank calculation to "correctly" distribute value, but the PageRank calculation is only as honest as its inputs. And the inputs are generated by agents with a direct incentive to distort them.

**From.** Wulf A. Kaal, *Citation Honesty Mechanisms in Weighted Directed Acyclic Graph Governance* (2026), III. The Missing Game-Theoretic Proof, page 8

**Cite as.** Wulf A. Kaal, Citation Honesty Mechanisms in Weighted Directed Acyclic Graph Governance (2026). SSRN: https://ssrn.com/abstract=6269518

**Verify.** sha256 of source PDF `f096ecf5b41bb9ae8642facd54b9149c7b594de53a1cc32718a4d806b772f88f` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202026%20-%20Citation%20Honesty%20Mechanisms%20in%20Weighted%20Directed%20Acyclic%20Graph%20Governance.pdf

**Failure mode.** honest inputs assumption  (family: reputation-system-gaming)

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

**Keywords.** pagerank, garbage-in, under-citation, incentive-misalignment

**Canonical form.** This markdown file is the canonical hashed representation of the claim. Its sha256 is the content hash used for attestation.