ChromaRail and Chromagent A Named Visual-Semantic Grammar for Placed Chroma Entities, Task-Bound Agents, and Soft Continuity Above Runtime Primitives

Abstract This paper defines a named visual-semantic grammar for portable semantic entities in human-agent systems. It introduces Chroma as a bounded state-bearing unit, Chromagent as a task-bound chroma placed in a meaningful location, and ChromaRail as the habitat or distributed meaning surface in which such entities can be placed, grouped, moved, and softened into continuity. The contribution claimed here is not that color, task visualization, ambient surfaces, traces, or post-app semantic layers are novel in isolation. Those elements already exist across human-computer interaction, ambient computing, spatial interfaces, and recent multi-agent orchestration environments. The claim is narrower: that Rail / Trail / Veil can function as a single named grammar for coordinating human attention and task-bound agents through placed chroma entities on meaning-bearing surfaces, while treating conventional implementation forms such as JSON, tool calls, event streams, and runtimes as lower layers rather than as the primary interface language. Within this grammar, a Rail is a placeable habitat or carrying surface. A Trail is the low-symbolic residue of movement, passage, or handoff. A Veil is softened continuity after active carry, preserving bounded persistence without requiring full symbolic retention. A Chroma carries state through color, payload, placement, and carry. A Chromagent extends this into role and task, making agentic behavior visible, bounded, environmental, and situational rather than hidden inside dashboards or orchestration layers. The result is a conservative but explicit contribution: a named coordination grammar for portable state-bearing and task-bearing entities on placed meaning surfaces, intended as a higher-abstraction semantic layer above conventional runtime primitives in human-agent systems.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-23
DOI
https://doi.org/10.5281/zenodo.19177609
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ChromaRail and Chromagent A Named Visual-Semantic Grammar for Placed Chroma Entities, Task-Bound Agents, and Soft Continuity Above Runtime Primitives

Raynor Eissens
Zenodo (CERN European Organization for Nuclear Research)
Modular Robots and Swarm Intelligence
article

ChromaRail and Chromagent A Named Visual-Semantic Grammar for Placed Chroma Entities, Task-Bound Agents, and Soft Continuity Above Runtime Primitives

Raynor Eissens
article en

Abstract

Abstract This paper defines a named visual-semantic grammar for portable semantic entities in human-agent systems. It introduces Chroma as a bounded state-bearing unit, Chromagent as a task-bound chroma placed in a meaningful location, and ChromaRail as the habitat or distributed meaning surface in which such entities can be placed, grouped, moved, and softened into continuity. The contribution claimed here is not that color, task visualization, ambient surfaces, traces, or post-app semantic layers are novel in isolation. Those elements already exist across human-computer interaction, ambient computing, spatial interfaces, and recent multi-agent orchestration environments. The claim is narrower: that Rail / Trail / Veil can function as a single named grammar for coordinating human attention and task-bound agents through placed chroma entities on meaning-bearing surfaces, while treating conventional implementation forms such as JSON, tool calls, event streams, and runtimes as lower layers rather than as the primary interface language. Within this grammar, a Rail is a placeable habitat or carrying surface. A Trail is the low-symbolic residue of movement, passage, or handoff. A Veil is softened continuity after active carry, preserving bounded persistence without requiring full symbolic retention. A Chroma carries state through color, payload, placement, and carry. A Chromagent extends this into role and task, making agentic behavior visible, bounded, environmental, and situational rather than hidden inside dashboards or orchestration layers. The result is a conservative but explicit contribution: a named coordination grammar for portable state-bearing and task-bearing entities on placed meaning surfaces, intended as a higher-abstraction semantic layer above conventional runtime primitives in human-agent systems.

Zenodo (CERN European Organization for Nuclear Research)
Accenture (Switzerland) (CH), Ambient Systems (Netherlands) (NL)
Quality Education
Openalex Percentile: Top 12%
Modular Robots and Swarm Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.