Source domain profile · Academic and government source

Marian.edu in the Machine Relations Index

marian.edu appeared as a cited source in 1 of 33,147 monitored answer runs (0.00%) from 2026-05-10 to 2026-10-29.

Source site Markdown Public JSON

Citation rate0.00%

1 cited runs of 33,147 observed answer runs.

Days observed1/166

Days cited and days observed in the current release window.

Engine breadth1

ChatGPT. This is an observed-engine list, not a per-engine rate.

ConfidenceCollecting

MRI confidence is not an Answer-Source Fidelity grade.

Standing

Population ranks from the public release

Public standing: collecting · 0.00% across 1/33,147 observed runs
Full universe: Producer rank unavailable
Source role population: Producer rank unavailable
Evidence-qualified source role: Producer rank unavailable

Segment evidence

Observed category and question-shape rows

Segment rates use that category and question shape only. A row still collecting shows how many runs have been measured. A dash means no measured runs yet.

Category	Question shape	State	Cited runs	Observed runs	Run dates	Rate	Rank population	Badge
Education & Training	Problem-first research	Published	1	226	12	0.44%	#294 of 392	Badge

Published segments: 1. Collecting segments: 0.

Citation record

One cited run

marian.edu has been cited in one monitored answer run, on October 14, 2026, by ChatGPT, in answers to Education & Training / Problem-first research questions. Other sources cited for Education & Training questions are on the Education & Training sources page.

Peers

Nearest sources on Education & Training / Problem-first research

Marian.edu holds its best segment rank, #294 of 392, in Education & Training / Problem-first research, at 0.44%. 209 sources on that leaderboard share that rate, and their order inside the tie is not a measured difference. Listed here: the nearest sources cited more and less often than it, and the sources beside it that share this best segment. Full leaderboard.

Rank	Source	Source role	Segment citation rate	Against this source
#143 of 392	Knowella.com	Other observed source	0.88%	+0.44 pts
#144 of 392	Learnhowtobecome.org	Other observed source	0.88%	+0.44 pts
#145 of 392	Lifehacker	Editorial publication	0.88%	+0.44 pts
#146 of 392	London Loves Business	Other observed source	0.88%	+0.44 pts
#147 of 392	Lumos.com	Other observed source	0.88%	+0.44 pts
#148 of 392	Make Use Of	Editorial publication	0.88%	+0.44 pts
#293 of 392	Manhattan.institute	Other observed source	0.44%	Same rate
#295 of 392	Martinfowler.com	Other observed source	0.44%	Same rate

Cite this

Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Marian.edu (marian.edu), 0.00% citation rate, 1 of 33,147 monitored answer runs, 2026-05-10 to 2026-10-29. Release mri_score_v2.1+2026-10-29+225b998b091e. https://machinerelations.ai/index/domains/marian.edu. CC BY 4.0.

APA

Parrott, J. (2026). Marian.edu (marian.edu) in the Machine Relations Index (Version mri_score_v2.1+2026-10-29+225b998b091e) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/marian.edu https://doi.org/10.5281/zenodo.23652423

BibTeX

@misc{parrott2026mrimarianedu,
  author = {Parrott, Jaxon},
  title = {Marian.edu (marian.edu) in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-10-29+225b998b091e},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/marian.edu},
  doi = {10.5281/zenodo.23652423},
  license = {CC-BY-4.0},
  note = {Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai}
}

CITATION.cff

Release and boundary

What this profile measures

Published October 29, 2026. The observation window runs May 10, 2026 to October 29, 2026. Methodology v2.1.

Use the data

curl -fsSL "https://machinerelations.ai/data/machine-relations-index.json" -o machine-relations-index.json
curl -fsSL "https://machinerelations.ai/data/mri-release-manifest.json" -o mri-release-manifest.json
curl -fsSL "https://huggingface.co/datasets/machine-relations/machine-relations-index/resolve/main/domains.csv" -o domains.csv
curl -fsSL -L "https://doi.org/10.5281/zenodo.23652423" -o mri-zenodo.html

import json
from urllib.request import urlopen

index_url = "https://machinerelations.ai/data/machine-relations-index.json"
with urlopen(index_url) as response:
    index = json.load(response)
print(index["generated"], index["total_domains"])

The public dataset reports citation rates, rankings, and evidence counts. It excludes internal query identifiers, raw cited URLs, and answer-engine provider payloads. MRI measures observed root-domain citations in monitored prompts, not all AI answers, recommendation quality, web traffic or commercial performance. A citation is not source support.

Embed

Embed this profile’s badge

The link goes to this profile, the alt text says what the badge shows, and the badge is live: it always shows the current release, so it changes when the release changes and returns 404 if this domain leaves the released population. The embedder decides the link’s rel attribute. To keep a fixed image, download the SVG.

HTML

<a href="https://machinerelations.ai/index/domains/marian.edu"><img src="https://machinerelations.ai/index/domains/marian.edu/badge.svg" alt="Marian.edu in the Machine Relations Index: 0.00% cited in monitored answer runs, 1 of 33,147 runs · Collecting. Machine Relations Research." width="422" height="64"></a>

Markdown

[![Marian.edu in the Machine Relations Index: 0.00% cited in monitored answer runs, 1 of 33,147 runs · Collecting. Machine Relations Research.](https://machinerelations.ai/index/domains/marian.edu/badge.svg)](https://machinerelations.ai/index/domains/marian.edu)