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Research Methodology

aRuntime.com research methodology covering source discovery, primary-source verification, claim matrix, benchmark review, terminology, diagrams, code validation, freshness, and correction workflow.

Audience: Technical readers Reading time: 5 minutes Status: Publication policy Last reviewed:

Key takeaways

  • Uploaded reports and secondary articles are discovery indexes, not final authority.
  • Every technical claim should trace to a source, controlled test, transparent calculation, or clearly labeled analysis.
  • Version, status, hardware, configuration, and UTC review date are captured for changing facts.
  • Contradictory sources are investigated and scope differences are presented rather than erased.
  • Diagrams and examples are original and tested for accessibility and technical coherence.
  • Publication includes content, link, code, SEO, accessibility, and packaging QA.

Runtime boundary

A useful architecture identifies what this layer receives, owns, emits, measures, and refuses to own. That boundary prevents overlapping products from being treated as interchangeable.

Receives

Research questions, reports, live-site/code baseline, primary sources, standards, repositories, papers, and implementation evidence.

Owns

Verification workflow, provenance, evidence grading, conflict handling, freshness, and publication gate.

Emits

Research matrix, controlled vocabulary, claim records, page copy, diagrams, source lists, QA results, and known limitations.

Does not own

Assuming reports are correct, copying source prose, or inferring project status from search snippets.

Failure modes

Unsupported claim, stale source, citation mismatch, benchmark apples-to-oranges, inaccessible visual, broken link, and missing limitation.

Evidence and metrics

Claims verified, source-type distribution, conflicts resolved, broken links, reviewed dates, QA pass, and open limitations.

Baseline audit

Inspect current pages, URLs, headings, navigation, templates, CSS/JS, content model, SEO, accessibility, analytics, plugins, drafts, and repository state.

Implementation

Use live site and repository as source of truth and preserve newer work.

Operational implications

When live access is unavailable, state the limitation and produce a staging verification plan.

Measure

Page inventory, broken links, thin pages, duplicate headings, accessibility/SEO gaps, and screenshots.

Research matrix

Map each topic and proposed claim from reports to target page and primary sources.

Implementation

Record claim status, verification date UTC, exact source section/version, conflict, and editorial note.

Operational implications

A bibliography alone does not show which claim a source supports.

Measure

Claims/source, unverified claims, primary-source coverage, and conflict count.

Controlled terminology

Define how the site uses AI runtime, inference engine, model server, serving platform, compiler, graph runtime, execution provider, delegate, agentic runtime, and AI OS.

Implementation

Apply terms in page templates, glossary, directory, and comparisons.

Operational implications

Keep vendor names for their products while explaining cross-vendor category differences.

Measure

Term consistency, aliases, glossary backlinks, and corrections.

Primary-source verification

Open current official docs/spec/repo/paper; confirm feature, status, version, license, and limitations.

Implementation

Capture title, owner, publication/update, URL, access UTC, source type, and relevant sections.

Operational implications

Search snippets and secondary summaries are insufficient for time-sensitive claims.

Measure

Verified links, source freshness, official-source share, and unavailable evidence.

Benchmark review

Require complete disclosure and comparable scope before publishing numbers.

Implementation

Check model, precision, hardware, software, workload, cache, warmup, metrics, quality, errors, and raw data.

Operational implications

If the method is insufficient, omit numbers and describe qualitative trade-offs.

Measure

Disclosure score, reproducibility, quality gate, and rejected benchmark claims.

Synthesis and originality

Write original explanations that combine mechanisms, boundaries, failure modes, metrics, and decisions.

Implementation

Avoid long source paraphrases and duplicate definitions; use cross-links and glossary terms.

Operational implications

Separate sourced facts from aRuntime.com analysis.

Measure

Similarity review, redundancy, citation placement, and readability.

Diagrams, tables, and code

Create original semantic HTML/CSS or accessible SVG; retain source; include alt/long descriptions; validate code/examples.

Implementation

Tables need captions/scopes and responsive behavior; code uses synthetic data and no secrets.

Operational implications

No information should rely on color alone.

Measure

Accessibility checks, code parse/test, table overflow, and mobile legibility.

Technical and editorial review

Review terminology, architecture boundaries, source support, current status, security, code, SEO, accessibility, and internal links.

Implementation

Use checklists and archive evidence with the release.

Operational implications

Pages with unresolved material verification remain draft or clearly note limitations.

Measure

Review status, open issues, corrections, and reviewer/date.

Freshness and corrections

Schedule review based on volatility and monitor broken links/project changes.

Implementation

Display reviewed UTC, record material updates, and route reports through corrections.

Operational implications

Do not automatically update claims from unreviewed feeds.

Measure

Review age, broken links, source change, correction time, and stale queue.

Reference tables

Research claim record
Field Purpose
Claim ID/text Precise unit of verification
Target page/section Publication context
Source and section Evidence
Source type Authority context
Version/date/accessed UTC Freshness
Status Verified/qualified/rejected/open
Conflict/limitation Scope and uncertainty
Reviewer Accountability

Decision checklist

  1. What is the exact claim being verified?
  2. What is the strongest primary source and relevant section?
  3. Is the fact version- or date-sensitive?
  4. Do sources disagree because scope or configuration differs?
  5. Is a benchmark methodology comparable?
  6. What is synthesis versus sourced fact?
  7. Has the visual/code been tested?
  8. What limitation remains and when will the page be reviewed?

Common mistakes

  • Treating attached reports as publishable authority.
  • Collecting links without claim mapping.
  • Citing documentation without verifying version/status.
  • Resolving disagreement by selecting the most convenient source.
  • Copying vendor diagrams or prose.
  • Publishing benchmark figures with missing methodology.
  • Leaving page review dates static after substantive changes.

Sources and further reading


  1. Reproducibility and Replicability in Science
    (opens in a new tab)

    National Academies · Authoritative report · accessed 2026-06-21 UTC

  2. MLPerf Inference
    (opens in a new tab)

    MLCommons · Benchmark specification · accessed 2026-06-21 UTC

  3. WCAG 2.2
    (opens in a new tab)

    W3C · Standard · accessed 2026-06-21 UTC

  4. JSON-LD 1.1
    (opens in a new tab)

    W3C · Standard · accessed 2026-06-21 UTC

Last reviewed: 2026-06-21 UTC

Maintenance record

Found an error, outdated capability, or unclear category boundary? Submit a correction with a supporting source.