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Ukraine’s AI Duality: World Leader in Battlefield Systems, Lagging in Civil Adoption

Posted on March 7, 2026March 13, 2026 by
Gap Research
Gap Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18896514  41stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted77%○≥80% from verified, high-quality sources
[a]DOI8%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed15%○≥80% have metadata indexed
[l]Academic8%○≥80% from journals/conferences/preprints
[f]Free Access62%○≥80% are freely accessible
[r]References13 refs✓Minimum 10 references required
[w]Words [REQ]3,877✓Minimum 2,000 words for a full research article. Current: 3,877
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18896514
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]8%✗≥80% of references from 2025–2026. Current: 8%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[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 (34 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

Ukraine has emerged as the most intensively documented front-line AI deployment environment in recorded conflict history — simultaneously pioneering battlefield AI systems that have reshaped NATO's operational doctrine and building a surprisingly resilient civil e-governance infrastructure under active wartime conditions. Yet beneath these headline achievements lies a stark bifurcation: Ukraine...

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Gap Research by Oleh Ivchenko DOI: 10.5281/zenodo.18896514 41stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted77%○≥80% from verified, high-quality sources
[a]DOI8%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed15%○≥80% have metadata indexed
[l]Academic8%○≥80% from journals/conferences/preprints
[f]Free Access62%○≥80% are freely accessible
[r]References13 refs✓Minimum 10 references required
[w]Words [REQ]3,877✓Minimum 2,000 words for a full research article. Current: 3,877
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18896514
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]8%✗≥80% of references from 2025–2026. Current: 8%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[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 (34 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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Decision-Cycle Compression in AI-Augmented Warfare: Ukraine and the Indian Ocean Engagement

Posted on March 7, 2026March 7, 2026 by
Geopolitical Research
Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18896370  33stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted41%○≥80% from verified, high-quality sources
[a]DOI6%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed6%○≥80% have metadata indexed
[l]Academic0%○≥80% from journals/conferences/preprints
[f]Free Access29%○≥80% are freely accessible
[r]References17 refs✓Minimum 10 references required
[w]Words [REQ]3,980✓Minimum 2,000 words for a full research article. Current: 3,980
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18896370
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]41%✗≥80% of references from 2025–2026. Current: 41%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams5✓Mermaid architecture/flow diagrams. Current: 5
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (20 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

This paper presents a comparative analysis of AI-assisted decision systems in two empirically distinct kinetic environments: the ongoing Russo-Ukrainian war (2022–2026), which constitutes the most extensively documented contemporary frontline proving of AI-augmented battlefield management, and the sinking of the Iranian Navy frigate IRIS Dena by USS Charlotte on 4 March 2026 in the Indian Ocean...

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18896370 33stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted41%○≥80% from verified, high-quality sources
[a]DOI6%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed6%○≥80% have metadata indexed
[l]Academic0%○≥80% from journals/conferences/preprints
[f]Free Access29%○≥80% are freely accessible
[r]References17 refs✓Minimum 10 references required
[w]Words [REQ]3,980✓Minimum 2,000 words for a full research article. Current: 3,980
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18896370
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]41%✗≥80% of references from 2025–2026. Current: 41%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams5✓Mermaid architecture/flow diagrams. Current: 5
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (20 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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Open-Source vs Proprietary LLMs: Real Enterprise Economics

Posted on March 6, 2026March 12, 2026 by
Applied Research
Applied Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18894954  34stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources7%○≥80% from editorially reviewed sources
[t]Trusted21%○≥80% from verified, high-quality sources
[a]DOI14%○≥80% have a Digital Object Identifier
[b]CrossRef7%○≥80% indexed in CrossRef
[i]Indexed29%○≥80% have metadata indexed
[l]Academic14%○≥80% from journals/conferences/preprints
[f]Free Access21%○≥80% are freely accessible
[r]References14 refs✓Minimum 10 references required
[w]Words [REQ]2,188✓Minimum 2,000 words for a full research article. Current: 2,188
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18894954
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]50%✗≥80% of references from 2025–2026. Current: 50%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams4✓Mermaid architecture/flow diagrams. Current: 4
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (23 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

The choice between open-source and proprietary large language models (LLMs) is one of the most consequential economic decisions facing enterprise technology leaders in 2026. While proprietary APIs from OpenAI, Anthropic, and Google offer immediate access to frontier capability with zero infrastructure overhead, the true total cost of ownership (TCO) diverges sharply from sticker pricing at scal...

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Applied Research by Oleh Ivchenko DOI: 10.5281/zenodo.18894954 34stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources7%○≥80% from editorially reviewed sources
[t]Trusted21%○≥80% from verified, high-quality sources
[a]DOI14%○≥80% have a Digital Object Identifier
[b]CrossRef7%○≥80% indexed in CrossRef
[i]Indexed29%○≥80% have metadata indexed
[l]Academic14%○≥80% from journals/conferences/preprints
[f]Free Access21%○≥80% are freely accessible
[r]References14 refs✓Minimum 10 references required
[w]Words [REQ]2,188✓Minimum 2,000 words for a full research article. Current: 2,188
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18894954
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]50%✗≥80% of references from 2025–2026. Current: 50%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams4✓Mermaid architecture/flow diagrams. Current: 4
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (23 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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AI Governance Economics: The Cost of Compliance in the Regulatory Era

Posted on March 6, 2026March 8, 2026 by
AI Economics
AI Economics by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18892313  38stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources11%○≥80% from editorially reviewed sources
[t]Trusted37%○≥80% from verified, high-quality sources
[a]DOI16%○≥80% have a Digital Object Identifier
[b]CrossRef11%○≥80% indexed in CrossRef
[i]Indexed21%○≥80% have metadata indexed
[l]Academic21%○≥80% from journals/conferences/preprints
[f]Free Access21%○≥80% are freely accessible
[r]References19 refs✓Minimum 10 references required
[w]Words [REQ]2,614✓Minimum 2,000 words for a full research article. Current: 2,614
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18892313
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]37%✗≥80% of references from 2025–2026. Current: 37%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams5✓Mermaid architecture/flow diagrams. Current: 5
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (29 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

The emergence of mandatory AI governance frameworks—principally the European Union's AI Act (August 2026 enforcement), NIST AI Risk Management Framework, and ISO/IEC 42001—is transforming enterprise AI compliance from a voluntary discipline into a mandatory cost centre. Gartner projects AI governance platform spending to reach $492 million in 2026 and surpass $1 billion by 2030, as regulatory f...

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AI Economics by Oleh Ivchenko DOI: 10.5281/zenodo.18892313 38stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources11%○≥80% from editorially reviewed sources
[t]Trusted37%○≥80% from verified, high-quality sources
[a]DOI16%○≥80% have a Digital Object Identifier
[b]CrossRef11%○≥80% indexed in CrossRef
[i]Indexed21%○≥80% have metadata indexed
[l]Academic21%○≥80% from journals/conferences/preprints
[f]Free Access21%○≥80% are freely accessible
[r]References19 refs✓Minimum 10 references required
[w]Words [REQ]2,614✓Minimum 2,000 words for a full research article. Current: 2,614
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18892313
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]37%✗≥80% of references from 2025–2026. Current: 37%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams5✓Mermaid architecture/flow diagrams. Current: 5
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (29 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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Middle East AI Investment Surge: AWS Saudi Arabia and the Race for Regional AI Dominance

Posted on March 6, 2026March 6, 2026 by
Geopolitical Research
Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18889315  42stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources14%○≥80% from editorially reviewed sources
[t]Trusted57%○≥80% from verified, high-quality sources
[a]DOI21%○≥80% have a Digital Object Identifier
[b]CrossRef14%○≥80% indexed in CrossRef
[i]Indexed14%○≥80% have metadata indexed
[l]Academic21%○≥80% from journals/conferences/preprints
[f]Free Access29%○≥80% are freely accessible
[r]References14 refs✓Minimum 10 references required
[w]Words [REQ]2,970✓Minimum 2,000 words for a full research article. Current: 2,970
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18889315
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]43%✗≥80% of references from 2025–2026. Current: 43%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[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 (35 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

The Middle East has emerged as one of the world's most contested AI infrastructure battlegrounds, with Gulf states deploying trillions in sovereign wealth to position themselves as neutral nodes in an increasingly fragmented global AI order. Amazon Web Services' $5.3 billion Saudi Arabia cloud region—augmented by an additional $5 billion AI Zone built in partnership with HUMAIN, a Public Invest...

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18889315 42stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources14%○≥80% from editorially reviewed sources
[t]Trusted57%○≥80% from verified, high-quality sources
[a]DOI21%○≥80% have a Digital Object Identifier
[b]CrossRef14%○≥80% indexed in CrossRef
[i]Indexed14%○≥80% have metadata indexed
[l]Academic21%○≥80% from journals/conferences/preprints
[f]Free Access29%○≥80% are freely accessible
[r]References14 refs✓Minimum 10 references required
[w]Words [REQ]2,970✓Minimum 2,000 words for a full research article. Current: 2,970
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18889315
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]43%✗≥80% of references from 2025–2026. Current: 43%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[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 (35 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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AI Sovereignty as Geopolitical Strategy: The EU–US Regulatory Divergence and Its Global Consequences

Posted on March 6, 2026March 6, 2026 by D G
Geopolitical Research
Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18886429  44stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources12%○≥80% from editorially reviewed sources
[t]Trusted71%○≥80% from verified, high-quality sources
[a]DOI12%○≥80% have a Digital Object Identifier
[b]CrossRef6%○≥80% indexed in CrossRef
[i]Indexed24%○≥80% have metadata indexed
[l]Academic24%○≥80% from journals/conferences/preprints
[f]Free Access35%○≥80% are freely accessible
[r]References17 refs✓Minimum 10 references required
[w]Words [REQ]3,157✓Minimum 2,000 words for a full research article. Current: 3,157
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18886429
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]41%✗≥80% of references from 2025–2026. Current: 41%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[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 (39 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

The governance of artificial intelligence has become the defining axis of geopolitical competition in 2026. Where the United States has pivoted decisively toward federal deregulation — preempting state-level AI laws and dismantling Biden-era executive oversight — the European Union advances an increasingly assertive sovereignty architecture anchored by the AI Act, scheduled for full enforcement...

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18886429 44stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources12%○≥80% from editorially reviewed sources
[t]Trusted71%○≥80% from verified, high-quality sources
[a]DOI12%○≥80% have a Digital Object Identifier
[b]CrossRef6%○≥80% indexed in CrossRef
[i]Indexed24%○≥80% have metadata indexed
[l]Academic24%○≥80% from journals/conferences/preprints
[f]Free Access35%○≥80% are freely accessible
[r]References17 refs✓Minimum 10 references required
[w]Words [REQ]3,157✓Minimum 2,000 words for a full research article. Current: 3,157
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18886429
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]41%✗≥80% of references from 2025–2026. Current: 41%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[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 (39 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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Daily Review: AI Hallucinations in Wartime — When Chatbots Get Geopolitics Wrong

Posted on March 6, 2026March 6, 2026 by
Journal Commentary
Journal Commentary by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18884216  40stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources19%○≥80% from editorially reviewed sources
[t]Trusted38%○≥80% from verified, high-quality sources
[a]DOI24%○≥80% have a Digital Object Identifier
[b]CrossRef19%○≥80% indexed in CrossRef
[i]Indexed19%○≥80% have metadata indexed
[l]Academic24%○≥80% from journals/conferences/preprints
[f]Free Access10%○≥80% are freely accessible
[r]References21 refs✓Minimum 10 references required
[w]Words [REQ]3,153✓Minimum 2,000 words for a full research article. Current: 3,153
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18884216
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]33%✗≥80% of references from 2025–2026. Current: 33%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams5✓Mermaid architecture/flow diagrams. Current: 5
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (32 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

The deployment of large language models in high-stakes geopolitical contexts — from intelligence analysis to public information consumption during active conflicts — has exposed a critical reliability gap that the AI industry has not adequately resolved. In March 2026, as US and Israeli forces conducted strikes on Iran, reports confirmed that Anthropic's Claude was embedded in US Central Comman...

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Journal Commentary by Oleh Ivchenko DOI: 10.5281/zenodo.18884216 40stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources19%○≥80% from editorially reviewed sources
[t]Trusted38%○≥80% from verified, high-quality sources
[a]DOI24%○≥80% have a Digital Object Identifier
[b]CrossRef19%○≥80% indexed in CrossRef
[i]Indexed19%○≥80% have metadata indexed
[l]Academic24%○≥80% from journals/conferences/preprints
[f]Free Access10%○≥80% are freely accessible
[r]References21 refs✓Minimum 10 references required
[w]Words [REQ]3,153✓Minimum 2,000 words for a full research article. Current: 3,153
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18884216
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]33%✗≥80% of references from 2025–2026. Current: 33%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams5✓Mermaid architecture/flow diagrams. Current: 5
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (32 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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Israel-Iran Escalation: How Kinetic Conflict Tests AI Defense Infrastructure

Posted on March 6, 2026March 6, 2026 by
Geopolitical Research
Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18883019  27stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted25%○≥80% from verified, high-quality sources
[a]DOI5%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed20%○≥80% have metadata indexed
[l]Academic15%○≥80% from journals/conferences/preprints
[f]Free Access20%○≥80% are freely accessible
[r]References20 refs✓Minimum 10 references required
[w]Words [REQ]1,735✗Minimum 2,000 words for a full research article. Current: 1,735
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18883019
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]40%✗≥80% of references from 2025–2026. Current: 40%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[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 (20 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)

The March 2026 Israel-Iran kinetic conflict represents the most extensive real-world stress test of AI-integrated defense infrastructure in history. For the first time, artificial intelligence systems are not peripheral tools but embedded operational components — driving target identification, missile intercept prioritization, drone swarm coordination, and cyber-offensive operations at machine ...

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18883019 27stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted25%○≥80% from verified, high-quality sources
[a]DOI5%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed20%○≥80% have metadata indexed
[l]Academic15%○≥80% from journals/conferences/preprints
[f]Free Access20%○≥80% are freely accessible
[r]References20 refs✓Minimum 10 references required
[w]Words [REQ]1,735✗Minimum 2,000 words for a full research article. Current: 1,735
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18883019
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]40%✗≥80% of references from 2025–2026. Current: 40%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[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 (20 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)
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China AI Industrial Strategy: The 15th Five-Year Plan and the Weaponization of Technological Dominance

Posted on March 5, 2026March 6, 2026 by
Geopolitical Research
Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18881597  42stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted55%○≥80% from verified, high-quality sources
[a]DOI9%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed36%○≥80% have metadata indexed
[l]Academic27%○≥80% from journals/conferences/preprints
[f]Free Access36%○≥80% are freely accessible
[r]References11 refs✓Minimum 10 references required
[w]Words [REQ]2,122✓Minimum 2,000 words for a full research article. Current: 2,122
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18881597
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]55%✗≥80% of references from 2025–2026. Current: 55%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[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 (35 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

On March 5, 2026, China's National People's Congress unveiled the 15th Five-Year Plan (2026–2030), setting an unambiguous course: embed artificial intelligence across the entire industrial and economic machine as a core pillar of national security. This analysis examines the plan's strategic architecture, its geopolitical signal value, and its implications for the global AI competition. Drawing...

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18881597 42stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted55%○≥80% from verified, high-quality sources
[a]DOI9%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed36%○≥80% have metadata indexed
[l]Academic27%○≥80% from journals/conferences/preprints
[f]Free Access36%○≥80% are freely accessible
[r]References11 refs✓Minimum 10 references required
[w]Words [REQ]2,122✓Minimum 2,000 words for a full research article. Current: 2,122
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18881597
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]55%✗≥80% of references from 2025–2026. Current: 55%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[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 (35 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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The Anthropic Alliance: Amazon, NVIDIA, and Big Tech’s Coalition Against Pentagon Supply-Chain Weaponization

Posted on March 5, 2026March 14, 2026 by
Geopolitical Research
Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18879322  37stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted50%○≥80% from verified, high-quality sources
[a]DOI6%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed17%○≥80% have metadata indexed
[l]Academic11%○≥80% from journals/conferences/preprints
[f]Free Access44%○≥80% are freely accessible
[r]References18 refs✓Minimum 10 references required
[w]Words [REQ]2,597✓Minimum 2,000 words for a full research article. Current: 2,597
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18879322
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]33%✗≥80% of references from 2025–2026. Current: 33%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams4✓Mermaid architecture/flow diagrams. Current: 4
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (27 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

On February 27, 2026, U.S. Defense Secretary Pete Hegseth designated Anthropic a "supply-chain risk to national security," triggering an unprecedented industry response. Within days, Amazon, NVIDIA, OpenAI, and Apple had joined a formal Big Tech coalition challenging the designation — a coalition that signals a structural shift in the relationship between state power and commercial AI governanc...

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18879322 37stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted50%○≥80% from verified, high-quality sources
[a]DOI6%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed17%○≥80% have metadata indexed
[l]Academic11%○≥80% from journals/conferences/preprints
[f]Free Access44%○≥80% are freely accessible
[r]References18 refs✓Minimum 10 references required
[w]Words [REQ]2,597✓Minimum 2,000 words for a full research article. Current: 2,597
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18879322
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]33%✗≥80% of references from 2025–2026. Current: 33%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams4✓Mermaid architecture/flow diagrams. Current: 4
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (27 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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