Citation & Attribution
The No Kill ACSMM™ Institute is committed to maintaining the integrity of our work and ensuring proper credit is given to all contributors and sources. Accurate attribution protects the mission of the Institute, respects intellectual property, and strengthens trust with our community.
1. Original Content
Unless otherwise noted, all content on this site is original work created by Marv Serhan in collaboration with AI-assisted editorial tools.
Citation format:
Content created by Marv Serhan in collaboration with AI-assisted editorial tools. All intellectual property belongs to The No Kill ACSMM™ Institute. Unauthorized reproduction or use is prohibited without written consent.
2. Third-Party Sources
When we reference, quote, or adapt third-party materials, we will provide clear citations and links back to the original source.
Citation format:
Source: [Author/Organization], Title of Work, Year, [URL if applicable
3. Collaborative Contributions
When outside experts, partner organizations, or guest authors contribute, their work will be credited by name and role.
Citation format:
Contribution by [Contributor Name], [Title/Organization]. Used with permission.
4. Media (Images, Graphics, Video)
Visual materials used on this site will be cited according to their origin:
Original creations (by ACSMM or commissioned artists) will carry ACSMM attribution.
Licensed materials will include license type and credit.
Public domain or Creative Commons materials will be clearly marked.
Example format:
Photo by [Photographer/Source], used under [License type].
5. Standard Footer Language
Every page on the website will include the following footer to ensure consistent attribution and protection:
© 2025 The No Kill ACSMM™ Institute
IRS 501(c)(3) Status: The No Kill ACSMM™ Institute is a nonprofit organization recognized by the Internal Revenue Service as tax-exempt under Section 501(c)(3) of the Internal Revenue Code. EIN: 39-311-6363. Contributions are tax-deductible to the extent permitted by law.
Content created by Marv Serhan in collaboration with AI-assisted editorial tools • Unauthorized reproduction or use is prohibited without written consent
We respect your privacy • Your information is never shared or sold • See our Citation & Attribution page