Revert "docs: plain-language intro example + hardcore-paper note"
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README.md
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> [!NOTE]
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> **Heads-up: this is a hardcore tech paper.** It assumes working knowledge of
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> distributed systems (vector clocks, consensus, logical time) and LLM agent
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> architectures. If that is not your world, read the example below — it carries
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> the whole idea. Everything after it is deep water, and you are welcome to dive.
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## The Idea in 60 Seconds (for non-technical readers)
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Imagine you hand the same assignment to three colleagues at 9:00 and ask everyone
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to report back at 9:05.
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- **Anna** is quick: within those five minutes she reads the brief, sketches three
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options, discards two and polishes the third.
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- **Ben** is thorough but slow: after five minutes he is still reading the brief.
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- **Carla** spent the whole time on hold with a supplier and has not started.
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By the wall clock, all three *had the same five minutes*. But the amount of lived,
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productive time inside each head differs wildly. If their manager now treats all
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three reports as equally fresh and equally deliberated, decisions get made on
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work that has aged very unevenly.
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Teams of AI agents have exactly this problem, only sharper: a small, fast model
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may live through dozens of reasoning steps while a large model completes one, and
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background services tick in rhythms of hours or days. The wall clock says one
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minute passed for everyone; subjectively, the agents lived through vastly
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different amounts of *experienced work* — what this paper calls proper time
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(*Eigenzeit*).
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This paper gives that gap a name, a vocabulary, and a measuring device: the
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**Causal-Dilation Clock**, which lets a system notice the divergence, log it,
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and act on it — instead of silently trusting that one minute is one minute
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for everybody.
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From here on, it gets technical. You have been warned. :)
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---
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> LLM agents don't just have unsynchronized clocks.
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> LLM agents don't just have unsynchronized clocks.
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> They experience different amounts of time.
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> They experience different amounts of time.
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>
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>
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