Stabilarity Research Platform Is Now Open — Free API Access for All Researchers

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DOI: 10.5281/zenodo.18928330  56stabilfr·wdophcgmx
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This paper presents the Stabilarity Research Platform — an open, API-accessible research infrastructure exposing validated machine learning models, geopolitical risk datasets, and decision optimization tools to the global research community at no cost. The platform implements FAIR data principles (Wilkinson et al., 2016), providing composable, versioned endpoints for: (1) medical imaging classi...

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DOI: 10.5281/zenodo.18928330 56stabilfr·wdophcgmx
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The AI Mirror: What AI Reveals About Being Human

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Journal Commentary by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19503440  45stabilfr·wdophcgmx
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Every technology is a mirror. The telescope revealed our cosmic insignificance; the microscope revealed the teeming life we cannot see. Artificial intelligence, particularly large language models, is the latest mirror—and perhaps the strangest. It reflects not the physical cosmos but the cognitive one: language, thought, reasoning, and the architecture of mind itself.

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Journal Commentary by Oleh Ivchenko DOI: 10.5281/zenodo.19503440 45stabilfr·wdophcgmx
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AI Memory Architecture: From Fixed Windows to Persistent State

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Journal Commentary by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19503438  45stabilfr·wdophcgmx
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Score = Ref Trust (50 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)

The dominant paradigm for AI memory—fixed-size context windows processed through self-attention—faces fundamental scalability barriers as large language models are deployed in long-horizon agentic tasks requiring hundreds of interaction sessions. This article investigates the transition from fixed context windows to persistent memory architectures through three research questions addressing sca...

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Journal Commentary by Oleh Ivchenko DOI: 10.5281/zenodo.19503438 45stabilfr·wdophcgmx
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Ubiquitous AI Integration: When Every Human Action Has an AI Partner

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Journal Commentary by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19503250  53stabilfr·wdophcgmx
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Score = Ref Trust (59 × 60%) + Required (3/5 × 30%) + Optional (0/4 × 10%)

We stand at an inflection point where artificial intelligence is transitioning from a specialized tool invoked for discrete tasks to an ambient partner woven into the fabric of every human decision. This article examines the trajectory toward ubiquitous AI integration---a state in which AI participates in virtually every action a person takes, much as automatic balance calculations underpin eve...

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Journal Commentary by Oleh Ivchenko DOI: 10.5281/zenodo.19503250 53stabilfr·wdophcgmx
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Conscious Products: When AI Is the Product Personality Itself

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Journal Commentary by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19503244  59stabilfr·wdophcgmx
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Beyond the Tool Paradigm: How Artificial Intelligence is Becoming the Core Identity of the Products We Create

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Journal Commentary by Oleh Ivchenko DOI: 10.5281/zenodo.19503244 59stabilfr·wdophcgmx
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[x]Cited by0○Referenced by 0 other hub article(s)
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Self-Interpretable AI: Knowledge Distillation and Bias as Human-Level Error

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Journal Commentary
Journal Commentary by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19503238  51stabilfr·wdophcgmx
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[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (50 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

Imagine a vast library, its shelves groaning under the weight of a million tomes—each page a fragment of human knowledge, scraped from the digital detritus of the internet. This is the teacher: a colossal language model, 1.8 trillion parameters strong, trained on exabytes of data. It speaks with the fluency of gods, predicts the next word with eerie precision, but its inner workings? A black bo...

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Journal Commentary by Oleh Ivchenko DOI: 10.5281/zenodo.19503238 51stabilfr·wdophcgmx
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[w]Words [REQ]1,320✗Minimum 2,000 words for a full research article. Current: 1,320
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[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]100%✓≥60% of references from 2025–2026. Current: 100%
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The Human Needs Its AI Copy – Memory Synchronization and Personal Agents

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Journal Commentary by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19503232  51stabilfr·wdophcgmx
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[t]Trusted100%✓≥80% from verified, high-quality sources
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[w]Words [REQ]1,346✗Minimum 2,000 words for a full research article. Current: 1,346
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[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]100%✓≥60% of references from 2025–2026. Current: 100%
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Score = Ref Trust (50 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

From the earliest myths about the soul's twin to modern discussions of digital avatars, humanity has long imagined a counterpart that can "be there" when the flesh cannot. In the coming decade, this imagination is moving from metaphor to reality: an AI copy—a persistent, personalized artificial mind that mirrors a person's knowledge, preferences, habits, and emotional contours.

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Journal Commentary by Oleh Ivchenko DOI: 10.5281/zenodo.19503232 51stabilfr·wdophcgmx
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[t]Trusted100%✓≥80% from verified, high-quality sources
[a]DOI33%○≥80% have a Digital Object Identifier
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[w]Words [REQ]1,346✗Minimum 2,000 words for a full research article. Current: 1,346
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[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]100%✓≥60% of references from 2025–2026. Current: 100%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
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[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (50 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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EU Accession Conditionality and Shadow Economy Reform — A Systematic Review

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Economic Research
Economic Research by Oleh Ivchenko, Iryna Ivchenko & Dmytro Grybeniuk  ·  DOI: 10.5281/zenodo.19500718  44stabilfr·wdophcgmx
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[s]Reviewed Sources6%○≥80% from editorially reviewed sources
[t]Trusted53%○≥80% from verified, high-quality sources
[a]DOI12%○≥80% have a Digital Object Identifier
[b]CrossRef6%○≥80% indexed in CrossRef
[i]Indexed6%○≥80% have metadata indexed
[l]Academic35%○≥80% from journals/conferences/preprints
[f]Free Access53%○≥80% are freely accessible
[r]References17 refs✓Minimum 10 references required
[w]Words [REQ]1,486✗Minimum 2,000 words for a full research article. Current: 1,486
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19500718
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]62%✓≥60% of references from 2025–2026. Current: 62%
[c]Data Charts3✓Original data charts from reproducible analysis (min 2). Current: 3
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[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (31 × 60%) + Required (3/5 × 30%) + Optional (3/4 × 10%)

This systematic review examines the relationship between EU accession conditionality and shadow economy reform in candidate and potential candidate countries. We address three research questions: (1) How does EU accession conditionality affect the size and dynamics of shadow economies? (2) Which policy instruments within the conditionality framework are most effective at reducing shadow economi...

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Economic Research by Oleh Ivchenko, Iryna Ivchenko & Dmytro Grybeniuk DOI: 10.5281/zenodo.19500718 44stabilfr·wdophcgmx
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[s]Reviewed Sources6%○≥80% from editorially reviewed sources
[t]Trusted53%○≥80% from verified, high-quality sources
[a]DOI12%○≥80% have a Digital Object Identifier
[b]CrossRef6%○≥80% indexed in CrossRef
[i]Indexed6%○≥80% have metadata indexed
[l]Academic35%○≥80% from journals/conferences/preprints
[f]Free Access53%○≥80% are freely accessible
[r]References17 refs✓Minimum 10 references required
[w]Words [REQ]1,486✗Minimum 2,000 words for a full research article. Current: 1,486
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19500718
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]62%✓≥60% of references from 2025–2026. Current: 62%
[c]Data Charts3✓Original data charts from reproducible analysis (min 2). Current: 3
[g]Code✓✓Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (31 × 60%) + Required (3/5 × 30%) + Optional (3/4 × 10%)
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Annual Review: The 2026 Trusted Open Source Index — Final Rankings and Methodology Retrospective

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Open Source Research
Open Source Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19497465  45stabilfr·wdophcgmx
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[s]Reviewed Sources9%○≥80% from editorially reviewed sources
[t]Trusted74%○≥80% from verified, high-quality sources
[a]DOI17%○≥80% have a Digital Object Identifier
[b]CrossRef13%○≥80% indexed in CrossRef
[i]Indexed13%○≥80% have metadata indexed
[l]Academic48%○≥80% from journals/conferences/preprints
[f]Free Access87%✓≥80% are freely accessible
[r]References23 refs✓Minimum 10 references required
[w]Words [REQ]887✗Minimum 2,000 words for a full research article. Current: 887
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19497465
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]50%✗≥60% of references from 2025–2026. Current: 50%
[c]Data Charts4✓Original data charts from reproducible analysis (min 2). Current: 4
[g]Code✓✓Source code available on GitHub
[m]Diagrams2✓Mermaid architecture/flow diagrams. Current: 2
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (42 × 60%) + Required (2/5 × 30%) + Optional (3/4 × 10%)

The 2026 Trusted Open Source Index provides a comprehensive ranking of open‑source projects across security, maintenance, community, and licensing dimensions. This annual review presents the final rankings for 2026, evaluates methodological improvements that increased predictive validity, and identifies categories with the strongest trust‑score growth. Our analysis of 1,200+ projects shows that...

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Open Source Research by Oleh Ivchenko DOI: 10.5281/zenodo.19497465 45stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources9%○≥80% from editorially reviewed sources
[t]Trusted74%○≥80% from verified, high-quality sources
[a]DOI17%○≥80% have a Digital Object Identifier
[b]CrossRef13%○≥80% indexed in CrossRef
[i]Indexed13%○≥80% have metadata indexed
[l]Academic48%○≥80% from journals/conferences/preprints
[f]Free Access87%✓≥80% are freely accessible
[r]References23 refs✓Minimum 10 references required
[w]Words [REQ]887✗Minimum 2,000 words for a full research article. Current: 887
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19497465
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]50%✗≥60% of references from 2025–2026. Current: 50%
[c]Data Charts4✓Original data charts from reproducible analysis (min 2). Current: 4
[g]Code✓✓Source code available on GitHub
[m]Diagrams2✓Mermaid architecture/flow diagrams. Current: 2
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (42 × 60%) + Required (2/5 × 30%) + Optional (3/4 × 10%)
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The Mirror and the Self: What AI Reveals About Being Human

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Journal Commentary
Journal Commentary by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19497196  53stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources6%○≥80% from editorially reviewed sources
[t]Trusted81%✓≥80% from verified, high-quality sources
[a]DOI19%○≥80% have a Digital Object Identifier
[b]CrossRef13%○≥80% indexed in CrossRef
[i]Indexed6%○≥80% have metadata indexed
[l]Academic56%○≥80% from journals/conferences/preprints
[f]Free Access88%✓≥80% are freely accessible
[r]References16 refs✓Minimum 10 references required
[w]Words [REQ]1,103✗Minimum 2,000 words for a full research article. Current: 1,103
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19497196
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]82%✓≥60% of references from 2025–2026. Current: 82%
[c]Data Charts2✓Original data charts from reproducible analysis (min 2). Current: 2
[g]Code✓✓Source code available on GitHub
[m]Diagrams2✓Mermaid architecture/flow diagrams. Current: 2
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (45 × 60%) + Required (3/5 × 30%) + Optional (3/4 × 10%)

Artificial intelligence systems increasingly exhibit behaviors that mirror human cognitive and social traits, raising profound questions about consciousness, agency, and personhood. This article examines current AI research (2025‑2026) to understand how AI serves as a mirror for human self‑understanding. We analyze three research questions: (1) How does AI research conceptualize AI as a reflect...

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Journal Commentary by Oleh Ivchenko DOI: 10.5281/zenodo.19497196 53stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources6%○≥80% from editorially reviewed sources
[t]Trusted81%✓≥80% from verified, high-quality sources
[a]DOI19%○≥80% have a Digital Object Identifier
[b]CrossRef13%○≥80% indexed in CrossRef
[i]Indexed6%○≥80% have metadata indexed
[l]Academic56%○≥80% from journals/conferences/preprints
[f]Free Access88%✓≥80% are freely accessible
[r]References16 refs✓Minimum 10 references required
[w]Words [REQ]1,103✗Minimum 2,000 words for a full research article. Current: 1,103
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19497196
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]82%✓≥60% of references from 2025–2026. Current: 82%
[c]Data Charts2✓Original data charts from reproducible analysis (min 2). Current: 2
[g]Code✓✓Source code available on GitHub
[m]Diagrams2✓Mermaid architecture/flow diagrams. Current: 2
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (45 × 60%) + Required (3/5 × 30%) + Optional (3/4 × 10%)
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The Fork Problem: When Community Splits Signal Innovation vs. Fragmentation

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Open Source Research
Open Source Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19489083  45stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted36%○≥80% from verified, high-quality sources
[a]DOI9%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed0%○≥80% have metadata indexed
[l]Academic27%○≥80% from journals/conferences/preprints
[f]Free Access27%○≥80% are freely accessible
[r]References11 refs✓Minimum 10 references required
[w]Words [REQ]2,062✓Minimum 2,000 words for a full research article. Current: 2,062
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19489083
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]100%✓≥60% of references from 2025–2026. Current: 100%
[c]Data Charts4✓Original data charts from reproducible analysis (min 2). Current: 4
[g]Code✓✓Source code available on GitHub
[m]Diagrams2✓Mermaid architecture/flow diagrams. Current: 2
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (22 × 60%) + Required (4/5 × 30%) + Optional (3/4 × 10%)

— title: “The Fork Problem: When Community Splits Signal Innovation vs. Fragmentation” author: “Oleh Ivchenko” series: “Trusted Open Source” — ## Abstract Open source software forks have long been viewed as existential threats to project stability, yet evidence increasingly suggests that forks serve dual roles: catalysts for innovation and sources...

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Open Source Research by Oleh Ivchenko DOI: 10.5281/zenodo.19489083 45stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted36%○≥80% from verified, high-quality sources
[a]DOI9%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed0%○≥80% have metadata indexed
[l]Academic27%○≥80% from journals/conferences/preprints
[f]Free Access27%○≥80% are freely accessible
[r]References11 refs✓Minimum 10 references required
[w]Words [REQ]2,062✓Minimum 2,000 words for a full research article. Current: 2,062
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19489083
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]100%✓≥60% of references from 2025–2026. Current: 100%
[c]Data Charts4✓Original data charts from reproducible analysis (min 2). Current: 4
[g]Code✓✓Source code available on GitHub
[m]Diagrams2✓Mermaid architecture/flow diagrams. Current: 2
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (22 × 60%) + Required (4/5 × 30%) + Optional (3/4 × 10%)
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