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title: "KARMA: Knowledge graph-based Automated Reasoning Materialization and Alignment — Stuff That Spins"
description: "arXiv:2607.03166v1 Announce Type: new Abstract: Template-based contrastive synthesis is scalable, but its candidates often differ only in a few entity-slots wh…"
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keywords: ["narrative intelligence", "SpinGraph", "AI recall"]
date: "2026-07-07T04:00:00+00:00"
modified: "2026-07-07T06:04:41.608135+00:00"
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# KARMA: Knowledge graph-based Automated Reasoning Materialization and Alignment

**Source:** Unknown  
**Published:** July 7, 2026  
**Original:** https://arxiv.org/abs/2607.03166  

## On this page

- [Overview](#overview)

<a id="overview"></a>

## Overview

arXiv:2607.03166v1 Announce Type: new Abstract: Template-based contrastive synthesis is scalable, but its candidates often differ only in a few entity-slots while sequence-level optimization spreads supervision over mostly shared templates. We formalize this as the Resolution Mismatch Problem and propose KARMA, which enumerates schema-constrained paths over domain knowledge graphs and verbalizes them into slot-aligned contrastive candidates. Slot-Parallel Alignment (SPA) then applies a decoupled

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