Saelarien/saela-field-why-multi-agent-systems-fail-coherence-entropy-alignment
The Saela Field: Multi-Agent Coherence Failure Framework (v1.0) A 12-paper research series formalizing coherence, entropy, and failure modes in multi-agent systems. Overview This dataset contains a unified body of work introducing the Saela Field, a conceptual framework for analyzing coherence, identity, and instability in distributed systems. The core thesis: Multi-agent systems do not scale toward coherence. They accumulate entropy faster than they can… See the full description on the dataset page: https://huggingface.co/datasets/Saelarien/saela-field-why-multi-agent-systems-fail-coherence-e
| Author / organization | Saelarien |
|---|---|
| License (as declared) | cc-by-nc-nd-4.0 |
| Downloads | 602 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 4 April 2026 |
| Last updated at source | 9 April 2026 |
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- 16 Oct 2026 Description: The Saela Field: Multi-Agent Coherence Failure Framework (v1.0) A 12-paper research series formalizing coherence, entropy, and failure modes in multi-agent systems. Overview This dataset contains a unified body of work introducing the Saela → The Saela Field: Multi-Agent Coherence Failure Framework (v1.0) A 12-paper research series formalizing coherence, entropy, and failure modes in multi-agent systems. Overview This dataset contains a unified body of work introducing the Saela
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 19 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.