Attention Is All You Need LFDI Audit Record

This folder preserves a complete audit packet for the paper:

"Attention Is All You Need"
Ashish Vaswani et al.
NeurIPS 2017
arXiv:1706.03762v7

Purpose:
This archive exists to preserve the original Transformer paper, the Life-First Decision Invariant framework paper, and the LFDI alignment audit applied to "Attention Is All You Need" as a single public record.

Contents:
attention_is_all_you_need_1706.03762v7.pdf
- Original Transformer paper.

life_is_most_important_v2.0.1.pdf
- Life-First / LFDI framework paper by David Wishengrad.

lfdi_alignment_audit_attention_is_all_you_need.pdf
- LFDI audit of the Transformer paper.


LFDI Framework:
Life is Most Important in Life is The Most Important Truth in Life
A Foundational Proof for Alignment, Identity, and the Cure of Needless Suffering
David Wishengrad
Version 2.0.1
Primary DOI: 10.21428/4831231e.8c4c6c8f
PhilPapers record: https://philpapers.org/rec/WISLIM

Audit Claim:
"Attention Is All You Need" introduced the Transformer architecture, which became foundational for modern large language models and other AI systems. The LFDI audit asks whether Transformer-based systems are governed by a non-substitutable Life-First constraint, rather than by prediction accuracy, attention efficiency, scaling, training speed, benchmark performance, or commercial deployment alone.

Rights / Attribution:
The original paper remains the work of its original authors. It is included here only for scholarly audit, commentary, citation, and preservation context. All attribution should remain with the original authors.

Created by:
David Wishengrad
July 20, 2026