# knemik97/Manifesto-against-the-Plagiarist-Yunhe-Wang

讨贼王云鹤檄文

Repository: https://github.com/knemik97/Manifesto-against-the-Plagiarist-Yunhe-Wang
Canonical: https://ross.abutalabs.com/products/manifesto-against-the-plagiarist-yunhe-wang
License: Apache-2.0
License Family: permissive
Last push: 2025-07-08T15:31:49+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 30, release rhythm 35, longevity 30
- inputs: {"age_days": 422, "days_push": 421, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1104, forks 112 (observed 2026-08-28T04:03:36.283799+00:00)

## What it is
A Chinese-language manifesto repository (Apache-2.0 licensed) accusing a Huawei Noah's Ark Lab director of plagiarizing and misrepresenting the Pangu large language model results. It is a text document/discourse artifact rather than usable software, with links to related whistleblower issue threads.

## Use cases
- read allegations about Pangu model plagiarism
- research the Huawei Pangu 718B controversy
- find links to True-Story-of-Pangu issue discussions
- understand claims about benchmark manipulation in LLM reports
- track community responses to the Pangu Ultra MoE paper

## When to choose
- you are researching the Pangu plagiarism allegations and want the primary manifesto text
- you need pointers to the related whistleblower GitHub issues

## When to avoid
- you need actual software, code, or tooling
- you want verified facts rather than one-sided allegations
- you need an English-language source

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: artificial-intelligence, large-language-models, developer-tools
- platform: -
- tags: manifesto, whistleblowing, academic-integrity, plagiarism-allegations, pangu, huawei, not-software, chinese-language, web-server

## Member repositories
- knemik97/Manifesto-against-the-Plagiarist-Yunhe-Wang (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:36.283799+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:45:28.321982+00:00, confidence not recorded.
  - readme: https://github.com/knemik97/Manifesto-against-the-Plagiarist-Yunhe-Wang (fetched 2026-08-28T04:03:36.283799+00:00, sha bf80137dd8bf)
- Data as of 2026-08-30T08:39:29.467469+00:00.