# Trincoll.edu in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/trincoll.edu
Canonical domain: trincoll.edu
Source role: Academic and government source
Release mri_score_v2.1+2026-10-21+85b6277f4055; methodology mri_score_v2.1; generated 2026-10-21; window 2026-05-10 to 2026-10-21; artifact 85b6277f4055.

trincoll.edu appeared as a cited source in 1 of 29,566 monitored answer runs (0.00%) from 2026-05-10 to 2026-10-21.

## Overall Evidence

- Citation rate: 0.00%
- Cited runs: 1 of 29,566
- Days cited: 1 of 158
- Engine breadth: 1 observed engines (perplexity)
- Confidence: Collecting
- Standing: collecting · 0.00% across 1/29,566 observed runs

## Observed Segments

| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Standing |
|---|---|---|---:|---:|---:|---:|---|
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Problem-first research](https://machinerelations.ai/index/categories/ai-security-privacy/problem_first) | published | 1 | 224 | 11 | 0.45% | #436 of 467 |

## Citation Record

trincoll.edu has been cited in one monitored answer run, on September 27, 2026, by Perplexity, in answers to AI Security & Privacy / Problem-first research questions. Other sources cited for AI Security & Privacy questions: https://machinerelations.ai/index/categories/ai-security-privacy

## Peers

Trincoll.edu holds its best segment rank, #436 of 467, in AI Security & Privacy / Problem-first research, at 0.45%. 253 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. Leaderboard: https://machinerelations.ai/index/categories/ai-security-privacy/problem_first

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #201 of 467 | [Tech Times](https://machinerelations.ai/index/domains/techtimes.com) | Editorial publication | 0.89% | +0.44 pts |
| #202 of 467 | [Tecnobits.com](https://machinerelations.ai/index/domains/tecnobits.com) | Other observed source | 0.89% | +0.44 pts |
| #203 of 467 | [theregister](https://machinerelations.ai/index/domains/theregister.com) | Editorial publication | 0.89% | +0.44 pts |
| #204 of 467 | [Thetechedvocate.org](https://machinerelations.ai/index/domains/thetechedvocate.org) | Other observed source | 0.89% | +0.44 pts |
| #205 of 467 | [Tkoresearch.com](https://machinerelations.ai/index/domains/tkoresearch.com) | Other observed source | 0.89% | +0.44 pts |
| #206 of 467 | [Tomshardware.com](https://machinerelations.ai/index/domains/tomshardware.com) | Other observed source | 0.89% | +0.44 pts |
| #433 of 467 | [Tigor.com.ua](https://machinerelations.ai/index/domains/tigor.com.ua) | Other observed source | 0.45% | Same rate |
| #441 of 467 | [Tun.com](https://machinerelations.ai/index/domains/tun.com) | Other observed source | 0.45% | Same rate |

## Citation

Trincoll.edu (trincoll.edu), 0.00% citation rate, 1 of 29,566 monitored answer runs, 2026-05-10 to 2026-10-21, mri_score_v2.1, mri_score_v2.1+2026-10-21+85b6277f4055, https://machinerelations.ai/index/domains/trincoll.edu.

## Badge

Badge image: https://machinerelations.ai/index/domains/trincoll.edu/badge.svg

[![Trincoll.edu (trincoll.edu), 0.00% citation rate, 1 of 29,566 monitored answer runs, 2026-05-10 to 2026-10-21, mri_score_v2.1, mri_score_v2.1+2026-10-21+85b6277f4055, https://machinerelations.ai/index/domains/trincoll.edu.](https://machinerelations.ai/index/domains/trincoll.edu/badge.svg)](https://machinerelations.ai/index/domains/trincoll.edu)

The badge is live: it shows the current release, so it changes when the release changes, and it returns 404 if this domain leaves the released population. The link goes to this profile and the alt text is the citation above.

## Public Boundary

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; it does not measure all AI answers, recommendation quality, website traffic, or commercial performance. A citation does not prove source support, and MRI confidence is not an Answer-Source Fidelity grade.

## Related Sources

- [Machine Relations Index](https://machinerelations.ai/index)
- [Public JSON artifact](https://machinerelations.ai/data/machine-relations-index.json)
- [Release manifest](https://machinerelations.ai/data/mri-release-manifest.json)