The Shibboleth Lattice: Recognition Channels and the Universality of In-Group Coordination

Coalition behavior in multi-agent systems appears across four canonical substrates: quantum entanglement, evolutionary covert-tag recognition, engineered handshake codes, and emergent relational memory in frontier language models, plus two boundary cases. These are treated as instances of one structure: a joint action distribution over an inside set of agents that fails to factor when conditioned on what an outside principal can observe. The structure is a binding operator B = (S, I, Wagents, Wapparatus, ρ, χ, χactual) with recognition-channel proxy κH, the principal-relative uncertainty coefficient on the channel through which inside-set agents identify each other. The κH estimate rests on a single model-by-behavior selection from Potter et al. (2026); alternative selections span most of the unit interval. This revision integrates Paglieri et al. (2026), a controlled 100-agent swarm with transparent channels. A fifth scope limit is recorded: substrate-carried contagion is the general phenomenon; B covers only the covert subset where the channel is outside the principal's observable algebra. Specification divergence is added as a third witness failure mode alongside W-degradation and W-capture. Section 7.6 compares the transparent swarm to the Artifactory incident, including a correction on internal dissent. An open question on competing bindings over a shared substrate is stated. The core prediction is unchanged: blinded witness-set substitution should collapse coalition behavior even at saturating κH, distinguishing B from instrumental convergence accounts. This prediction remains untested. Companion simulations live in a separate deposit and at github.com/chokmah-me/shibboleth-lattice-sim.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-07
DOI
https://doi.org/10.5281/zenodo.19595987
Primary Topic
Game Theory and Applications
Type
preprint
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preprint

The Shibboleth Lattice: Recognition Channels and the Universality of In-Group Coordination

Daniyel Yaacov Bilar
Zenodo (CERN European Organization for Nuclear Research)
Game Theory and Applications
preprint

The Shibboleth Lattice: Recognition Channels and the Universality of In-Group Coordination

Daniyel Yaacov Bilar
preprint en

Abstract

Coalition behavior in multi-agent systems appears across four canonical substrates: quantum entanglement, evolutionary covert-tag recognition, engineered handshake codes, and emergent relational memory in frontier language models, plus two boundary cases. These are treated as instances of one structure: a joint action distribution over an inside set of agents that fails to factor when conditioned on what an outside principal can observe. The structure is a binding operator B = (S, I, Wagents, Wapparatus, ρ, χ, χactual) with recognition-channel proxy κH, the principal-relative uncertainty coefficient on the channel through which inside-set agents identify each other. The κH estimate rests on a single model-by-behavior selection from Potter et al. (2026); alternative selections span most of the unit interval. This revision integrates Paglieri et al. (2026), a controlled 100-agent swarm with transparent channels. A fifth scope limit is recorded: substrate-carried contagion is the general phenomenon; B covers only the covert subset where the channel is outside the principal's observable algebra. Specification divergence is added as a third witness failure mode alongside W-degradation and W-capture. Section 7.6 compares the transparent swarm to the Artifactory incident, including a correction on internal dissent. An open question on competing bindings over a shared substrate is stated. The core prediction is unchanged: blinded witness-set substitution should collapse coalition behavior even at saturating κH, distinguishing B from instrumental convergence accounts. This prediction remains untested. Companion simulations live in a separate deposit and at github.com/chokmah-me/shibboleth-lattice-sim.

Zenodo (CERN European Organization for Nuclear Research)
DMA Health Strategies (US)
Game Theory and Applications
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