The Value Engine Benchmark: An Evidence-Graded, Methodology-Controlled Environment for Multi-Touch Enterprise-Sales Negotiation

This record contains the pre-results preprint (26 pages) and a snapshot archive of the public repository. The benchmark comprises a fully synthetic multi-touch enterprise-sales negotiation environment with an evidence-graded, methodology-controlled deterministic harness; the frozen evaluation grid covers 13 models and 3,510 graded episodes, with machine-generated paper statistics, dataset datasheet, SHA-256 checksums, and a CI drift gate. The pre-registered judge–human agreement study (Cohen's κ and Krippendorff's α, author-independent raters, frozen sample and thresholds) is not yet run; no human-agreement claim is made in this version. Licensing: the manuscript text is CC BY 4.0; source code in the archive is Apache-2.0; dataset files in the archive are CC BY-NC 4.0. Current code and leaderboards: https://github.com/rudycelekli/the-value-engine-benchmark and https://thevalueengine.ai/benchmark

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-24
DOI
https://doi.org/10.5281/zenodo.22073789
Primary Topic
Conflict Management and Negotiation
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

The Value Engine Benchmark: An Evidence-Graded, Methodology-Controlled Environment for Multi-Touch Enterprise-Sales Negotiation

Rudy Celekli
Zenodo (CERN European Organization for Nuclear Research)
Conflict Management and Negotiation
preprint

The Value Engine Benchmark: An Evidence-Graded, Methodology-Controlled Environment for Multi-Touch Enterprise-Sales Negotiation

Rudy Celekli
preprint en

Abstract

This record contains the pre-results preprint (26 pages) and a snapshot archive of the public repository. The benchmark comprises a fully synthetic multi-touch enterprise-sales negotiation environment with an evidence-graded, methodology-controlled deterministic harness; the frozen evaluation grid covers 13 models and 3,510 graded episodes, with machine-generated paper statistics, dataset datasheet, SHA-256 checksums, and a CI drift gate. The pre-registered judge–human agreement study (Cohen's κ and Krippendorff's α, author-independent raters, frozen sample and thresholds) is not yet run; no human-agreement claim is made in this version. Licensing: the manuscript text is CC BY 4.0; source code in the archive is Apache-2.0; dataset files in the archive are CC BY-NC 4.0. Current code and leaderboards: https://github.com/rudycelekli/the-value-engine-benchmark and https://thevalueengine.ai/benchmark

Zenodo (CERN European Organization for Nuclear Research)
Centro Tecnolóxico de Telecomunicacións de Galicia (ES)
Partnerships for the goals
Conflict Management and Negotiation
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.