Scope3Trace: Evidence-Based Identification and Extraction of Scope 3 GHG Emissions from Sustainability Reports

arXiv:2607.17122 · cs.CL · Submitted 2026-07-19 · Read on arXiv

cs.CL

Submitted: 2026-07-19

Updated: 2026-09-01

Code: https://github.com/JeppesenZheng/Scope3trace

Terminology

• Provenance — 34× in this paper · explained in 3 episodes
• Alignment — 22× in this paper · explained in 1 episode
• Grounding — 18× in this paper · explained in 3 episodes
• Verification — 17× in this paper · explained in 2 episodes
• Accuracy — 16× in this paper · explained in 1 episode
• Consistency — 11× in this paper · explained in 3 episodes
• Ablation — 9× in this paper · explained in 1 episode
• Benchmark — 9× in this paper · explained in 2 episodes
• Core — 6× in this paper · explained in 2 episodes
• Embeddings — 6× in this paper · explained in 2 episodes
• Interpretability — 5× in this paper · explained in 15 episodes
• Semantic Similarity — 5× in this paper · explained in 2 episodes
• RAG — 4× in this paper · explained in 3 episodes
• Semantic Understanding — 4× in this paper · explained in 2 episodes
• Explainability — 3× in this paper · explained in 3 episodes
• Multi-Agent Framework — 3× in this paper · explained in 3 episodes
• Multi-Agent System — 3× in this paper · explained in 6 episodes
• Multimodal Dataset — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Semantic Alignment — 3× in this paper · explained in 3 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Downstream Tasks — 2× in this paper · explained in 2 episodes
• Accountability — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Computational overhead — 1× in this paper · explained in 2 episodes
• Data Provenance — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Heterogeneous Graph — 1× in this paper · explained in 2 episodes
• Multimodal Inputs — 1× in this paper · explained in 2 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes
• Tokenization — 1× in this paper · explained in 2 episodes

Sources

• GPT-4 Technical Report
• Retrieval-Augmented Generation for Large Language Models: A Survey
• AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
• Space-aware Socioeconomic Indicator Inference with Heterogeneous Graphs
• ESGReveal: An LLM-based approach for extracting structured data from ESG reports

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