# Latency

`kaal:entity:latency`

**Status.** derived

This node is assembled mechanically from the 4 claims that carry the concept tag `latency`. It is a roster of what the corpus says under this term. It is **not** an adjudicated definition: no single statement here has been ruled canonical, and no first-appearance call has been made. Read the claims and judge for yourself.

## Every claim under this term

4 claims across 4 works, 2021 to 2025.

**2021**

- [3782198-021](https://wulfkaal.github.io/claims/3782198-021) [mechanism/argued] *(failure mode)* -- Earlier centralized companies defeated more decentralized peer to peer platforms because of the technology of the time and the incentive design built into capitalist civilization: consumer devices could not match industrial upload speeds, centralized firms had the incentive to polish user interfaces, and economies of scale made central bureaucracy worth negotiating.
  > The reason earlier centralized companies succeeded against more decentralized P)P platforms is due to the existing technology of the time and the natural incentive design that is built into our capitalist civilization.
  Craig Calcaterra, Wulf A. Kaal, Contemporary Decentralization (2021). SSRN: https://ssrn.com/abstract=3782198
- [3936876-020](https://wulfkaal.github.io/claims/3936876-020) [failure/argued] *(failure mode)* -- Cold storage trades security for accessibility: retrieving digital assets from cold storage can take many hours or even days, which makes cold storage especially ill suited to dynamic trading strategies.
  > In some cases, it can take many hours or even days for investors to obtain control of digital assets that are stored in cold storage devices. The timing makes it especially difficult to use cold storage security for dynamic trading strategies.
  Wulf A. Kaal, Hayley Howe, Custody of Digital Assets (2021). SSRN: https://ssrn.com/abstract=3936876

**2025**

- [5095633-013](https://wulfkaal.github.io/claims/5095633-013) [failure/argued] *(failure mode)* -- Latency, throughput limits, and the absence of fully automated continuous training and validation together defeat the timeliness advantage that real-time data is supposed to deliver.
  > Latency, data throughput constraints, and the absence of fully automated mechanisms for continuous training and validation can collectively undermine the timeliness of insights derived from AI models.
  Wulf A. Kaal, Artificial Intelligence The Final Frontier (2025). SSRN: https://ssrn.com/abstract=5095633
- [5245185-025](https://wulfkaal.github.io/claims/5245185-025) [failure/argued] *(failure mode)* -- IoT based oversight does not account for the pace at which AI agents will outgrow static IoT to blockchain linkages, and it leaves unexplained how the convergence handles latency or secures data as agent ubiquity drives exponential transaction complexity.
  > pace at which AI agents will outgrow static IoT-blockchain linkages. The text omits how this convergence will handle latency or secure data as AI ubiquity drives exponential transaction complexity.
  Wulf A. Kaal, How can we Best Monitor AI Agents (2025). SSRN: https://ssrn.com/abstract=5245185

## Verify

Every claim above resolves to a record carrying a verbatim source quote, the sha256 of the source PDF, and a preformatted citation. Nothing here asks to be taken on trust.

    curl -s https://wulfkaal.github.io/entities/latency.md | sha256sum

**Canonical form.** This markdown file is the canonical hashed representation of this entity node. Its sha256 is the content hash.