Julian Mercer 0009-0003-1162-170X 2026-10-28 English F Reports - Research; Numerical/Qualitative Data The purpose of this flagship working paper is to document the architecture, empirical telemetry, and open educational methodology of the LimeWire Open Research Corpus spanning 2000 through 2026. The methodology synthesizes a 26-year longitudinal dataset of decentralized and cloud-mediated file transfer (N = 260 cohort intervals culminating in 131 million files shared and 7.6 petabytes uploaded), cross-evaluated alongside 36 browser-native media, document preservation, and generative artificial intelligence utilities. Empirical benchmarks evaluate seven visual diffusion and 3D reconstruction architectures across 50 standardized prompts (N = 350), 240 document format migrations into ISO 19005 (PDF/A), and 300 music information retrieval and spatial psychoacoustic test tracks. Results demonstrate that browser-mediated processing eliminates local graphical processing unit (GPU) hardware barriers in postsecondary and secondary computer science laboratories while achieving a 0.968 F1-score in scientific table extraction and 100 percent ISO 19005-2 archival compliance. Implications for higher education administrators, academic librarians, and instructional designers include a turnkey zero-install laboratory framework that equalizes computational access across community colleges, rural districts, and research universities. Additional materials include 8 structured data tables, 45 scholarly references, BibTeX metadata, and 210 embedded URI links. https://limewire.com/research/papers/LimeWire-Open-Research-Corpus-and-Platform-Architecture-2026.pdf Information and Technology Higher Education Science, Mathematics, and Environmental Education Educational Technology Open Educational Resources Information Science Archives Artificial Intelligence Computer Networks Higher Education Julian Mercer 0009-0003-1162-170X 2026-10-28 English F Guides - Classroom - Teacher; Guides - Non-Classroom The purpose of this curriculum guide is to provide university faculty, community college instructors, and STEM curriculum coordinators with a modular, zero-install laboratory manual across eight academic disciplines: distributed systems, digital copyright law, archival library science, generative visual computing, computational musicology, algorithmic media production, multi-agent protocols, and instructional technology. The instructional design methodology maps 36 browser-accessible utilities to Bloom's Revised Taxonomy levels L3 (Apply) through L6 (Create), US credit-hour standards, and European Credit Transfer and Accumulation System (ECTS) learning outcomes without requiring local software installation or dedicated GPU workstations. Evaluation across 200 institutional hardware and device configurations indicates that browser-offloaded laboratory exercises reduce classroom setup time from a median of 52.5 minutes to 0.0 minutes while operating within a 310 to 590 megabyte browser random-access memory envelope on 4-gigabyte Chromebooks. Implications for teaching practice include immediate curriculum integration in resource-constrained two-year colleges and rural schools alongside standardized grading rubrics. Additional materials include 8 complete 45-to-90-minute seminar plans, printable student worksheets, instructor answer keys, 38 references, and 205 embedded URI links. https://limewire.com/research/papers/LimeWire-University-and-STEM-Laboratory-Curriculum-Kit.pdf Higher Education Teaching and Teacher Education Information and Technology Community Colleges Curriculum Guides Laboratory Manuals Open Educational Resources College Instruction STEM Education Instructional Design Grading Julian Mercer 0009-0003-1162-170X 2026-10-28 English F Reports - Research; Historical Materials The purpose of this study is to analyze the architectural evolution of decentralized and browser-mediated file transfer protocols over a 26-year period from the release of Gnutella 0.4 in 2000 to modern hybrid WebRTC and end-to-end encrypted (E2EE) cloud architectures in 2026. Using the 260-cohort longitudinal telemetry dataset (DS-1), the methodology models query-flooding overhead in unstructured meshes, two-tier Ultrapeer/Leaf Query Routing Protocol (QRP) efficiency, Kademlia Mojito distributed hash tables, WebRTC SCTP/DTLS 1.3 local peer channels (Snapdrop and ShareDrop), and AES-256-GCM cloud object storage. Results show that while unstructured Gnutella 0.4 generated exponential signaling overhead at scale, modern browser-based TLS 1.3 and AES-256 cryptographic pipelines support payloads up to 4 gigabytes free—scaling to 131 million shared files and 7.6 petabytes—while eliminating residential NAT traversal failures and malware propagation vectors. Implications for computer science educators include a rigorous empirical framework for teaching distributed systems, network graph theory, and document-level cryptographic access control (ISO 32000-2 permissions and AES password encryption). Additional materials include 6 tables, 36 references, laboratory exercises, and 195 embedded URI links. https://limewire.com/research/papers/LimeWire-Vol1-From-Gnutella-to-WebRTC-and-Encrypted-Cloud-Transfer.pdf Information and Technology Science, Mathematics, and Environmental Education Higher Education Computer Networks Telecommunications Information Security Computer Science Education Longitudinal Studies Algorithms Julian Mercer 0009-0003-1162-170X 2026-10-28 English F Analyses; Reports - Research The purpose of this legal and econometric analysis is to examine the statutory damages calculus in Arista Records LLC v. Lime Group LLC (S.D.N.Y., 06 Civ. 5936) and its doctrinal implications for contemporary digital copyright and generative artificial intelligence instruction. Drawing on a 120-record dataset of docket filings, statutory damage permutations, and 14 comparative federal appellate precedents (DS-2), the methodology contrasts the plaintiffs' per-infringement multiplier theory under 17 U.S.C. Section 504(c)—which yielded an unprecedented claim of $72 trillion ($72,000,000,000,000), exceeding global gross domestic product—against Judge Kimba Wood's March 2011 ruling capping recovery at one statutory award per infringed work and the subsequent $105 million settlement (0.0001458 percent of the initial demand). Results illustrate how mathematical divergence between per-event and per-work liability shapes technology platform survival, inducement jurisprudence, and modern licensed creator ecosystems. Implications for law schools, economics departments, and public policy curricula include a quantitative casebook module for modeling statutory damages and AI training data licensing. Additional materials include 7 tables, 40 legal and scholarly citations, econometric formulas, and 190 embedded URI links. https://limewire.com/research/papers/LimeWire-Vol2-The-72-Trillion-Lawsuit-Statutory-Damages-and-IP-Economics.pdf Social Studies and Social Science Education Higher Education Information and Technology Intellectual Property Court Litigation Legal Education (Professions) Economics Education Federal Legislation Artificial Intelligence Julian Mercer 0009-0003-1162-170X 2026-10-28 English F Guides - Non-Classroom; Reports - Evaluative The purpose of this methodological guide and empirical evaluation is to establish best practices for long-term digital preservation, file size optimization, and cryptographic access governance across academic libraries, institutional repositories, and public sector archives. The methodology evaluates 240 heterogeneous documents across DOCX, PPTX, XLSX, PNG, and legacy PDF formats (DS-4) migrated into ISO 19005-1 (PDF/A-1b) and ISO 19005-2 (PDF/A-2b) archival standards using browser-based conversion pipelines. Quantitative metrics assess font subset embedding, device-independent ICC color profile normalization, removal of external dynamic references, Deflate stream compression ratios, AES-256 encryption overhead, and Section 508 screen-reader tag preservation. Results demonstrate a mean size reduction of 72.0 percent under web/archive compression presets while maintaining 100 percent ISO 19005 conformance in automated validation and preserving visual structural similarity (SSIM > 0.99). Implications for library and information science (LIS) curricula and institutional archivists include a standardized workflow for preparing theses, dissertations, and ERIC submissions. Additional materials include 6 tables, 35 references, archival checklists, and 200 embedded URI links. https://limewire.com/research/papers/LimeWire-Vol3-ISO-19005-PDFA-Long-Term-Digital-Preservation-Guide.pdf Information and Technology Higher Education Educational Management Disabilities and Gifted Education Library Science Archives Electronic Publishing Information Preservation Accessibility (for Disabled) Government Publications Julian Mercer 0009-0003-1162-170X 2026-10-28 English F Reports - Methodological; Reports - Research The purpose of this methodological study is to evaluate the accuracy of automated tabular data extraction and bidirectional layout migration for rescuing empirical statistics trapped in legacy Portable Document Format (PDF) publications. Using a corpus of 240 scientific, governmental, and financial tables (DS-4), the methodology measures cell-level precision, recall, and F1-scores across spatial rule-line detection and whitespace heuristic algorithms during PDF-to-XLSX, XLSX-to-PDF, PDF-to-DOCX, and PDF-to-PPTX conversions. Results reveal that automated PDF-to-Excel table reconstruction achieves a mean F1-score of 0.968 across multi-column statistical layouts, while Excel-to-PDF rendering preserves 99.6 percent of cell formatting and calculated values. Compared to manual data re-entry by graduate research assistants, automated browser-based extraction reduces transcription latency by 94.2 percent and eliminates decimal-shift typographical errors. Implications for quantitative social science, educational evaluation, and meta-analytic research include a verified replication pipeline for converting archival statistical reports into machine-readable spreadsheets. Additional materials include 6 tables, 34 references, F1 evaluation equations, and 195 embedded URI links. https://limewire.com/research/papers/LimeWire-Vol4-Scientific-Table-Extraction-and-Document-Format-Migration.pdf Information and Technology Assessment and Evaluation Science, Mathematics, and Environmental Education Data Analysis Statistical Data Information Retrieval Research Methodology Spreadsheets Reproducibility Julian Mercer 0009-0003-1162-170X 2026-10-28 English F Reports - Evaluative; Reports - Research The purpose of this comparative benchmark study is to evaluate the latency, semantic prompt adherence, embedded typography accuracy, and anatomical fidelity of six text-to-image diffusion architectures accessible through a unified browser interface. The methodology executes 50 standardized prompts spanning 10 academic and industrial domains across Stable Diffusion 1.5, Stable Diffusion XL (SDXL), DALL-E 2, DALL-E 3, Google Imagen, and BlueWillow (DS-3, N = 300 2D image evaluations plus 50 3D reconstructions). Quantitative metrics capture end-to-end cloud-to-browser inference latency in seconds, multi-object compositional adherence (0-100 scale), optical character recognition (OCR) string accuracy on rendered signage, and structural fidelity. Results show that DALL-E 3 (95.4 percent prompt adherence, 91.8 percent typography accuracy) and Google Imagen (93.8 percent adherence, 4.95-second mean latency) lead in dense semantic binding, whereas SDXL (4.60 seconds) and BlueWillow (3.40 seconds) provide optimal latency-to-fidelity trade-offs for iterative classroom prototyping. Implications for computer vision and design educators include model selection guidelines for visual computing laboratories. Additional materials include 7 tables, 38 references, prompt taxonomy, and 205 embedded URI links. https://limewire.com/research/papers/LimeWire-Vol5-Comparative-Benchmark-of-Diffusion-Models-SDXL-DALLE3-Imagen.pdf Information and Technology Science, Mathematics, and Environmental Education Assessment and Evaluation Artificial Intelligence Computer Graphics Visual Literacy Benchmarking Comparative Analysis Higher Education Julian Mercer 0009-0003-1162-170X 2026-10-28 English F Reports - Research; Guides - Classroom - Teacher The purpose of this study is to evaluate browser-based single-image three-dimensional (3D) reconstruction and raster-to-vector contour tracing for computer-aided design (CAD), rapid prototyping, and additive manufacturing instruction. The methodology examines Stable Point-Aware 3D (SPAR3D) architecture—which couples point-cloud diffusion sampling with triplane mesh reconstruction—across 50 object categories (DS-3), alongside cubic Bezier spline quantization into Scalable Vector Graphics (SVG), Encapsulated PostScript (EPS), and Drawing Exchange Format (DXF) for computer numerical control (CNC) laser cutting. Results demonstrate that SPAR3D reconstructs watertight textured 3D meshes averaging 42,500 to 61,500 vertices in a mean inference time of 6.20 seconds directly in a web browser, while vector tracing reduces geometric contour error below 0.42 pixels. By offloading neural point-cloud generation from local workstations to browser endpoints, vocational and engineering programs eliminate the requirement for 24-gigabyte VRAM GPUs. Implications for STEM and CTE curricula include accessible 2D-to-3D fabrication workflows. Additional materials include 6 tables, 34 references, CAD lab protocols, and 190 embedded URI links. https://limewire.com/research/papers/LimeWire-Vol6-Single-Image-3D-Reconstruction-SPAR3D-and-Vector-CAD-Tracing.pdf Science, Mathematics, and Environmental Education Information and Technology Adult, Career, and Vocational Education Engineering Graphics Three Dimensional Aids Computer Assisted Design Industrial Arts STEM Education Geometric Concepts Julian Mercer 0009-0003-1162-170X 2026-10-28 English F Reports - Research; Guides - Non-Classroom The purpose of this study is to evaluate neural image restoration pipelines—specifically 4x perceptual super-resolution upscaling, masked latent outpainting, semantic chrominance recoloring, and dichotomous alpha matte background removal—for digital humanities archives and museum education. The methodology tests browser-executed super-resolution and segmentation pipelines across degraded low-DPI historical plates, cropped archival photographs, and specimen imagery (DS-6). Quantitative comparisons measure Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and boundary alpha matting Intersection-over-Union (IoU) against traditional bicubic interpolation and manual pen-tool masking. Results indicate that perceptual 4x AI upscaling improves high-frequency edge acuity by 34.8 percent over bicubic scaling while automated dichotomous segmentation achieves a 0.964 IoU on complex botanical and portrait contours in under 3.2 seconds. Implications for digital humanities faculty, museum educators, and archival technicians include a zero-install restoration workflow for digitizing fragile collections. Additional materials include 6 tables, 33 references, restoration protocols, and 195 embedded URI links. https://limewire.com/research/papers/LimeWire-Vol7-Neural-Super-Resolution-Upscaling-Outpainting-and-Segmentation.pdf Information and Technology Social Studies and Social Science Education Higher Education Visual Arts Archives Image Processing Artificial Intelligence Preservation Humanities Instruction Julian Mercer 0009-0003-1162-170X 2026-10-28 English F Reports - Research; Numerical/Qualitative Data The purpose of this empirical study is to evaluate browser-based Music Information Retrieval (MIR) algorithms for tempo and harmonic key detection alongside Head-Related Transfer Function (HRTF) binaural spatialization (8D audio) across 300 multi-genre recordings (DS-5). The methodology pairs spectral-flux onset autocorrelation for Beats Per Minute (BPM) estimation with 12-pitch-class chromagram correlation against Krumhansl-Schmuckler cognitive key profiles, mapped to the Camelot harmonic wheel. Concurrently, stereo stems are processed through azimuthal Interaural Time Difference (ITD) and Interaural Level Difference (ILD) convolution trajectories with rotation periods between 6.0 and 12.0 seconds. Results demonstrate a mean BPM estimation error of less than 0.25 BPM across percussive genres and 94.6 percent Camelot key concordance, while controlled 8D binaural panning provides measurable externalization cues for auditory perception laboratories. Implications for music conservatories, electrical engineering DSP courses, and sensory ergonomics researchers include browser-accessible acoustic analysis tools. Additional materials include 6 tables, 36 references, DSP equations, and 190 embedded URI links. https://limewire.com/research/papers/LimeWire-Vol8-Music-Information-Retrieval-BPM-Key-Detection-and-8D-Audio.pdf Social Studies and Social Science Education Science, Mathematics, and Environmental Education Disabilities and Gifted Education Music Education Acoustics Signal Processing Auditory Perception Cognitive Psychology Computer Assisted Instruction Julian Mercer 0009-0003-1162-170X 2026-10-28 English F Reports - Research; Analyses The purpose of this acoustic and media-studies monograph is to formalize the digital signal processing (DSP) mechanics and cultural reception of user-generated tempo-pitch modifications—specifically Sped Up (1.20x-1.25x Nightcore varispeed), Slowed + Reverb (0.80x-0.85x coupled with long-tail feedback delay networks), and short-form soundboard transient slicing. Using the 300-track acoustic corpus (DS-5), the methodology quantifies spectral centroid shifts (in Hertz), vocal formant transposition ( +3.16 to +3.86 semitones), and Schroeder/FDN reverberation time (RT60 between 2.10 and 3.18 seconds), alongside zero-crossing transient segmentation normalized to -14 LUFS. Results explain why coupled resampling preserves phase coherence on percussive transients compared to uncoupled phase-vocoder stretching, driving high engagement in short-form algorithmic video feeds and community voice channels. Implications for music technology and media communication curricula include hands-on laboratory modules bridging Fourier analysis with contemporary digital vernacular. Additional materials include 6 tables, 34 references, signal flow diagrams, and 190 embedded URI links. https://limewire.com/research/papers/LimeWire-Vol9-Time-Stretching-Pitch-Shifting-Sped-Up-and-Slowed-Reverb-Aesthetics.pdf Social Studies and Social Science Education Information and Technology Reading, English, and Communication Music Education Popular Culture Acoustics Mass Media Audio Equipment Digital Media Julian Mercer 0009-0003-1162-170X 2026-10-28 English F Reports - Research; Guides - Classroom - Teacher The purpose of this study is to examine automated browser-based video post-production algorithms—specifically spatiotemporal visual saliency reframing (16:9 widescreen to 9:16 vertical aspect ratio), YUV color-space chroma-key background removal, and generative image-to-video synthesis—within media communication and broadcast production curricula. The methodology evaluates Kalman-filtered focal point tracking across lecture and interview footage, Euclidean color-distance alpha matte extraction with green-spill despill matrices, and optical-flow-conditioned latent video diffusion. Empirical benchmarks from DS-7 indicate that browser-executed video reframing and green-screen removal operate on standard 4-to-8-gigabyte classroom laptops without dedicated video editing cards, reducing student rendering bottlenecks while maintaining temporal trajectory smoothness. Implications for journalism, digital storytelling, and career technical education (CTE) programs include democratizing broadcast studio workflows for schools lacking nonlinear editing workstations. Additional materials include 6 tables, 33 references, studio lab protocols, and 195 embedded URI links. https://limewire.com/research/papers/LimeWire-Vol10-Automated-Video-Reframing-Chroma-Keying-and-Image-to-Video-Synthesis.pdf Information and Technology Reading, English, and Communication Adult, Career, and Vocational Education Video Technology Production Techniques Communication Skills Artificial Intelligence Multimedia Instruction Vocational Education Julian Mercer 0009-0003-1162-170X 2026-10-28 English F Reports - Research; Guides - Classroom - Teacher The purpose of this study is to investigate two foundational pillars of interactive simulation and collegiate game studies education: static abstract syntax tree (AST) analysis of embedded Lua/Luau scripts and psychophysical visual ergonomics of aiming reticles (crosshairs) in high-frame-rate environments (Counter-Strike 2 and Valorant). The methodology pairs lexical tokenization and scope-depth linting in a browser-native Lua script editor with luminance-contrast calculations (Weber contrast and CIE L*a*b* delta-E) for sub-pixel reticle overlays across variable map illumination spectra. Findings show that browser-based AST beautification and static error detection reduce syntax debugging cycles in introductory game programming courses, while high-chromaticity cyan (#00FFFF) and lime-green (#00FF00) reticles with 1-pixel alpha outlines maximize foveal target acquisition against complex textures. Implications for computer science, human-computer interaction (HCI), and collegiate esports programs include empirical laboratory exercises in scripting and visual perception. Additional materials include 6 tables, 32 references, Luau code patterns, and 190 embedded URI links. https://limewire.com/research/papers/LimeWire-Vol11-Embedded-Lua-Scripting-and-Esports-Visual-Ergonomics.pdf Science, Mathematics, and Environmental Education Information and Technology Higher Education Programming Languages Computer Games Human Factors Engineering Visual Perception Computer Science Education Simulation Julian Mercer 0009-0003-1162-170X 2026-10-28 English F Reports - Methodological; Reports - Research The purpose of this econometric and computational social science study is to formalize the methodology behind real-time social mindshare indexing and key-opinion-leader (KOL) influence ranking in decentralized financial ecosystems. The methodology models directed engagement graphs using time-decayed eigenvector centrality, Sybil-resistant interaction weighting, and Cashtag/Named-Entity Recognition (NER) co-occurrence matrices as implemented in the LimeWire Crypto Twitter Leaderboard. By separating organic informational cascades from automated bot amplification, the model quantifies relative attention share (Mindshare Basis Points) and tests Granger-causality against intraday trading volume and volatility across digital assets including BTC and LMWR. Results indicate that velocity-adjusted mindshare shifts precede volume spikes while filtering out low-entropy spam. Implications for computational sociology, behavioral finance, and media literacy instruction include a live, zero-signup empirical observatory for studying information cascades. Additional materials include 6 tables, 35 references, econometric equations, and 190 embedded URI links. https://limewire.com/research/papers/LimeWire-Vol12-Cryptographic-Attention-Econometrics-and-Social-Mindshare-Indexing.pdf Social Studies and Social Science Education Information and Technology Higher Education Economics Education Social Networks Information Dissemination Econometrics Natural Language Processing Financial Literacy Julian Mercer 0009-0003-1162-170X 2026-10-28 English F Guides - Non-Classroom; Reference Materials - Vocabularies/Classifications The purpose of this international higher education handbook is to align the LimeWire Open Research curriculum and browser utility taxonomy with the Bologna Process European Credit Transfer and Accumulation System (ECTS), European Open Science Cloud (EOSC) / OpenAIRE guidelines, and multilingual technical lexicons across English, German, French, Spanish, and Italian. The methodology maps 8 modular university courses (150 to 180 student workload hours per 6.0 ECTS module) to Dublin Descriptors (First and Second Cycle), DigComp 2.2 European Digital Competence Framework proficiencies, and national open-data portal schemas (DCAT-AP 3.0 and Frictionless Data for data.gouv.fr and data.public.lu). Results provide standardized cross-border syllabus templates, multilingual terminology concordances for 36 browser tools, and GDPR-compliant zero-PII laboratory protocols. Implications for European universities, digital humanities centers, and comparative education researchers include turnkey bilingual curriculum adoption. Additional materials include 7 tables, 36 references, 5-language glossaries, and 205 embedded URI links. https://limewire.com/research/papers/LimeWire-Vol13-European-Higher-Education-ECTS-Digital-Media-and-Archival-Handbook.pdf Higher Education Languages and Linguistics Information and Technology Foreign Countries European Union International Education Multilingual Materials Transfer Policy Open Educational Resources Julian Mercer 0009-0003-1162-170X 2026-10-28 English F Reports - Evaluative; Reports - Research The purpose of this education research report—prepared specifically in alignment with the Institute of Education Sciences (IES) and ERIC Selection Policy collection goals—is to quantify how zero-install, browser-offloaded computational laboratories mitigate the hardware and total-cost-of-ownership (TCO) divide across diverse United States educational locales. Using the 200-configuration EdTech benchmark dataset (DS-7), the methodology evaluates 10 laboratory workflows (spanning generative AI, 3D CAD reconstruction, ISO 19005 PDF/A preservation, data table extraction, and audio DSP) across five National Center for Education Statistics (NCES) institutional categories and four client device profiles, including 4-gigabyte RAM Chromebooks and entry-level Windows desktops. Results demonstrate that browser-based execution eliminates 1.2 to 34.0 gigabytes of local disk installation footprint, reduces laboratory setup time from 25-125 minutes to 0.0 minutes, maintains peak client RAM usage below 674 megabytes, and yields estimated annual per-seat software and hardware savings between $180 and $920 while maintaining Section 508 accessibility. Implications for educational administrators and policymakers include scalable STEM equity without capital-intensive GPU lab procurement. Additional materials include 7 tables, 42 references, NCES locale breakdowns, and 210 embedded URI links. https://limewire.com/research/papers/LimeWire-Vol14-ERIC-Special-Report-Closing-the-Hardware-Divide-with-Zero-Install-Browser-Labs.pdf Community Colleges Rural Education and Small Schools Urban Education Information and Technology Disabilities and Gifted Education Equal Education Digital Divide Community Colleges Rural Education Urban Education Cost Effectiveness Laptop Computers Accessibility (for Disabled) Educational Technology Julian Mercer 0009-0003-1162-170X 2026-10-28 English F Reports - Research; Guides - Classroom - Teacher The purpose of this study is to examine the architectural design, security telemetry, and pedagogical integration of remote Model Context Protocol (MCP) file servers for autonomous artificial intelligence agents in graduate and advanced undergraduate computer science curricula. Using a 180-run multi-agent benchmark dataset (DS-8) across six MCP client environments (Claude Desktop, Claude Code CLI, Cursor IDE, ChatGPT Apps, VS Code Copilot, and Gemini CLI), the methodology evaluates Streamable HTTP and local stdio transport latency, scoped auto-expiring link handoffs, The Armory pre-transit malware quarantine scanning, and Compute Cashback output reuse economics. Results show that direct agent-to-agent file exchange via LimeWire MCP eliminates the 'human proxy bottleneck,' completes cross-agent payload handoffs in 158 to 580 milliseconds, quarantines 100 percent of injected untrusted archive payloads prior to client disk write, and reduces redundant generative compute consumption by up to 75.0 percent through output reuse. Implications for AI engineering educators include a structured laboratory curriculum for multi-agent systems. Additional materials include 6 tables, 34 references, JSON-RPC schemas, and 195 embedded URI links. https://limewire.com/research/papers/LimeWire-Vol15-Model-Context-Protocol-MCP-and-Multi-Agent-File-Sharing-in-CS-Education.pdf Information and Technology Science, Mathematics, and Environmental Education Higher Education Artificial Intelligence Computer Science Education Computer Networks Information Security Automation Programming Julian Mercer 0009-0003-1162-170X 2026-10-28 English F Guides - Non-Classroom; Policy Statements The purpose of this institutional governance and cataloging dossier is to document the full alignment of the LimeWire Open Research and Digital Preservation corpus with the U.S. Department of Education, Institute of Education Sciences (IES) ERIC Selection Policy (May 2024). The methodology maps all 18 research monographs, 8 open datasets (N = 1,800 empirical records), and 8 university laboratory courses against ERIC's Selection Standard (Section 172(a)(3) of Public Law 107-279, Education Sciences Reform Act of 2002) and seven Evaluation Criteria: Quality, Peer Review, Language, Material Format, Publisher Evaluation, Content Maturity/Currency, and Full-Text Access. The dossier provides standardized front-matter templates, 5-element narrative abstracts, ERIC Thesaurus descriptor matrices, Section 508 accessibility verification, and native ERIC XML schema mappings for both the Individual Online Submission Portal and Non-Journal Source review. Implications for academic librarians and repository managers include transparent verification of editorial governance, copyright licensing, and permanent open-access preservation. Additional materials include 6 compliance matrices, 30 policy references, XML record schemas, and 200 embedded URI links. https://limewire.com/research/papers/LimeWire-ERIC-Source-Selection-and-Online-Submission-Dossier-2026.pdf Information and Technology Higher Education Educational Management Assessment and Evaluation Cataloging Information Centers Clearinghouses Peer Evaluation PublishingCriteria Open Access