Reference Compendium · 2026-02-27
ContextContinuityLayer.org — Citations
Foundations
Dey, A. K. (2001). Understanding and using context. Personal and Ubiquitous Computing, 5(1), 4–7.
https://doi.org/10.1007/s007790170019Defines context operationally and formalizes 'context-aware' usage patterns; a primary anchor for definitions.
Schilit, B., Adams, N., & Want, R. (1994). Context-aware computing applications. Proceedings of WMCSA.
https://doi.org/10.1109/WMCSA.1994.16Early taxonomy of context-aware application behaviors; useful historical grounding.
Endsley, M. R. (1995). Toward a theory of situation awareness in dynamic systems. Human Factors, 37(1), 32–64.
https://doi.org/10.1518/001872095779049543Perception–comprehension–projection model; links context completeness to decision quality.
Strang, T., & Linnhoff-Popien, C. (2004). A context modeling survey. Proceedings of UbiComp.
Survey of context modeling approaches; helps structure a context-layer taxonomy.
Abowd, G. D., Dey, A. K., Brown, P. J., Davies, N., Smith, M., & Steggles, P. (1999). Towards a better understanding of context and context-awareness. Proceedings of HUC '99.
Early conceptual clarification of context and context-aware behavior in ubiquitous computing.
Architecture
Fielding, R. T. (2000). Architectural styles and the design of network-based software architectures (Doctoral dissertation, UC Irvine).
https://roy.gbiv.com/pubs/dissertation/fielding_dissertation.pdfCanonical REST source; explains stateless constraints and architectural tradeoffs central to continuity discussions.
Eugster, P. T., Felber, P. A., Guerraoui, R., & Kermarrec, A.-M. (2003). The many faces of publish/subscribe. ACM Computing Surveys, 35(2), 114–131.
https://doi.org/10.1145/857076.857078Survey of pub/sub decoupling; foundational for event-driven context propagation.
Kleppmann, M. (2017). Designing data-intensive applications. O'Reilly Media.
Practical distributed systems reference for state, consistency, replication, and logs—useful for context persistence.
Gray, J., & Reuter, A. (1992). Transaction processing: Concepts and techniques. Morgan Kaufmann.
Classic transactions/ACID reference for continuity and correctness under concurrency.
Bernstein, P. A., & Newcomer, E. (2009). Principles of transaction processing (2nd ed.). Morgan Kaufmann.
Modernized transaction foundations; maps to 'transactional context' and lifecycle.
Moreau, L., et al. (2013). The PROV data model. W3C Recommendation.
https://www.w3.org/TR/prov-dm/Standard model for provenance; supports auditability and contextual traceability.
NIST. (2006). Guide to computer security log management (SP 800-92).
https://doi.org/10.6028/NIST.SP.800-92Operational audit/log management guidance—supports transparency and accountability claims.
Hardt, D. (2012). The OAuth 2.0 authorization framework (RFC 6749).
https://datatracker.ietf.org/doc/html/rfc6749Defines authorization delegation; useful to show what identity protocols cover (and don't).
Sakimura, N., et al. (2014). OpenID Connect Core 1.0. OpenID Foundation.
https://openid.net/specs/openid-connect-core-1_0.htmlDefines OIDC authentication/claims layer on OAuth; supports 'SSO limits' framing.
World Wide Web Consortium. (2022). Decentralized Identifiers (DIDs) v1.0. W3C Recommendation.
https://www.w3.org/TR/did-core/Decentralized identifier standard; useful for 'distributed identity models.'
World Wide Web Consortium. (2022). Verifiable Credentials Data Model v1.1. W3C Recommendation.
https://www.w3.org/TR/vc-data-model-1.1/Standard data model for portable claims; supports 'identity artifacts ≠ full context.'
NIST. (2017). Digital Identity Guidelines (SP 800-63-3). (Withdrawn Aug 1, 2025; superseded by SP 800-63-4).
https://doi.org/10.6028/NIST.SP.800-63-3High-authority identity assurance framework; include as historical baseline and note supersession.
Dragoni, N., et al. (2017). Microservices: Yesterday, today, and tomorrow. In Present and Ulterior Software Engineering. Springer.
https://doi.org/10.1007/978-3-319-67425-4_12Survey of microservices and their tradeoffs; supports fragmentation across tool ecosystems.
Newman, S. (2015). Building microservices. O'Reilly Media.
Practical service decomposition reference; highlights integration/state challenges that drive context fragmentation.
Lamport, L. (1978). Time, clocks, and the ordering of events in a distributed system. Communications of the ACM, 21(7), 558–565.
https://doi.org/10.1145/359545.359563Foundational for temporal context and causality in distributed logs/events.
Kreps, J., Narkhede, N., & Rao, J. (2011). Kafka: A distributed messaging system for log processing. NetDB.
Log-based event streaming; important practical substrate for context propagation.
Governance
Nissenbaum, H. (2004). Privacy as contextual integrity. Washington Law Review, 79(1), 119–158.
https://digitalcommons.law.uw.edu/wlr/vol79/iss1/10/Foundational privacy theory framing appropriate information flows by context-specific norms.
Barth, A., Datta, A., Mitchell, J. C., & Nissenbaum, H. (2006). Privacy and contextual integrity: Framework and applications. IEEE Symposium on Security and Privacy.
Bridges contextual integrity into formal/security applications; useful for governance engineering.
European Union. (2016). Regulation (EU) 2016/679 (General Data Protection Regulation).
https://gdpr-info.eu/Legal basis for minimization, purpose limitation, transparency, and portability (e.g., Art. 5, 20).
OECD. (2013). The OECD privacy framework. OECD Publishing.
Widely cited policy principles that parallel minimization/purpose limitation; useful cross-jurisdiction anchor.
ISO. (2022). ISO/IEC 27001:2022 Information security management systems — Requirements.
https://www.iso.org/standard/27001Core ISMS requirements; supports governance controls, auditability, and risk management.
NIST. (2023). AI Risk Management Framework (AI RMF 1.0).
https://www.nist.gov/itl/ai-risk-management-frameworkOperational framework for AI risk; maps to governance and accountability for context-using systems.
ISO. (2023). ISO/IEC 23894:2023 Artificial intelligence — Risk management.
https://www.iso.org/standard/77304.htmlRisk management standard for AI; supports structured governance beyond privacy law.
Sandhu, R. S., Coyne, E. J., Feinstein, H. L., & Youman, C. E. (1996). Role-based access control models. Computer, 29(2), 38–47.
https://doi.org/10.1109/2.485845Formal access control; useful for 'permissioned context usage' implementation patterns.
Zuboff, S. (2019). The age of surveillance capitalism. PublicAffairs.
Socio-technical governance framing; supports ethical risk discussions around context capture and misuse.
European Commission. (2024). Artificial Intelligence Act (final text as adopted).
EU AI governance backdrop; supports regulatory alignment claims for AI-integrated infrastructures.
AI & Cognition
Vaswani, A., et al. (2017). Attention is all you need. Advances in Neural Information Processing Systems, 30.
https://papers.nips.cc/paper_files/paper/2017/hash/3f5ee243547dee91fbd053c1c4a845aa-Abstract.htmlTransformer architecture; context window and attention underpin modern LLM context handling.
Bahdanau, D., Cho, K., & Bengio, Y. (2015). Neural machine translation by jointly learning to align and translate. ICLR.
https://arxiv.org/abs/1409.0473Introduced attention for seq2seq; often cited as precursor to transformer attention.
Lewis, P., et al. (2020). Retrieval-augmented generation for knowledge-intensive NLP tasks. Advances in Neural Information Processing Systems, 33.
https://arxiv.org/abs/2005.11401Formalizes RAG; central to 'structured context injection' strategies.
Karpukhin, V., et al. (2020). Dense passage retrieval for open-domain question answering. EMNLP 2020.
https://arxiv.org/abs/2004.04906DPR retriever backbone for RAG systems; supports 'context sourcing' pipeline.
Guu, K., et al. (2020). REALM: Retrieval-augmented language model pre-training. ICML 2020.
https://arxiv.org/abs/2002.08909Retrieval-augmented pretraining; links memory/retrieval to context continuity.
Izacard, G., & Grave, E. (2021). Leveraging passage retrieval with generative models for open domain question answering. EACL 2021.
https://arxiv.org/abs/2007.01282Fusion-in-Decoder style retrieval+generation; demonstrates scaling context via retrieved passages.
Graves, A., Wayne, G., & Danihelka, I. (2014). Neural Turing machines. arXiv:1410.5401.
https://arxiv.org/abs/1410.5401Classic external-memory architecture; foundational for 'memory layer' framing in AI agents.
Weston, J., Chopra, S., & Bordes, A. (2014). Memory networks. arXiv:1410.3916.
https://arxiv.org/abs/1410.3916Introduces memory networks; links reasoning to stored context.
Sukhbaatar, S., Weston, J., Fergus, R., et al. (2015). End-to-end memory networks. arXiv:1503.08895.
https://arxiv.org/abs/1503.08895End-to-end differentiable memory; further supports long-range context handling.
Gama, J., et al. (2014). A survey on concept drift adaptation. ACM Computing Surveys, 46(4), Article 44.
https://doi.org/10.1145/2523813Survey of drift detection/adaptation; supports 'context drift' and lifecycle risk discussions.
Yao, S., et al. (2023). ReAct: Synergizing reasoning and acting in language models. arXiv:2210.03629.
https://arxiv.org/abs/2210.03629Agent pattern combining reasoning traces with tool actions; relevant to context scaffolding.
Shinn, N., & Labash, B. (2023). Reflexion: Language agents with verbal reinforcement learning. arXiv:2303.11366.
https://arxiv.org/abs/2303.11366Iterative self-reflection for agents; ties to maintaining and correcting context over time.
Wei, J., et al. (2022). Chain-of-thought prompting elicits reasoning in large language models. arXiv:2201.11903.
https://arxiv.org/abs/2201.11903Reasoning scaffolds; relevant to 'multi-step context injection' and structured prompts.
Industry — Healthcare
Health Level Seven International. (2019). FHIR Release 4 (v4.0.1). HL7.
https://hl7.org/fhir/R4/Core interoperability standard enabling clinical data exchange and partial context portability.
U.S. Department of Health & Human Services. (1996). Health Insurance Portability and Accountability Act (HIPAA).
https://www.hhs.gov/hipaa/index.htmlBaseline privacy/security requirements in US healthcare; constrains 'permissioned context usage.'
Industry — Fintech
Basel Committee on Banking Supervision. (2017). Basel III: Finalising post-crisis reforms.
https://www.bis.org/bcbs/publ/d424.htmGlobal banking capital/risk framework; relevant to contextual risk exposure and audit trails.
PCI Security Standards Council. (2022). PCI DSS v4.0.
https://www.pcisecuritystandards.org/Payment card security standard; maps to transaction context controls and auditability.
Industry — GovTech
U.S. General Services Administration. (2020). Federal Risk and Authorization Management Program (FedRAMP) security assessment framework.
https://www.fedramp.gov/US government cloud authorization baseline; relevant for GovTech 'context governance' controls.
Cryptography
IACR Cryptology ePrint Archive. (2026, 30 May). Report 2026/1109.
https://eprint.iacr.org/2026/1109The finding that industry crypto-shredding claims are assertions rather than reductions is established for public permissionless ledger architectures. Extending it to application-context governance is Context Layer Systems' own analysis by analogy. Provenance: VD.
Regulations, legal standards, and compliance frameworks referenced across this site. Each entry links directly to the specific article or section where available.
Privacy & Data Protection
Right to erasure ('right to be forgotten')
https://gdpr-info.eu/art-17-gdpr/Data subjects may request erasure of their personal data without undue delay where the original purpose no longer applies or consent is withdrawn.
Storage limitation
https://gdpr-info.eu/art-5-gdpr/Personal data must be kept in a form that permits identification no longer than necessary for the purposes for which it was collected.
Accountability principle
https://gdpr-info.eu/art-5-gdpr/Controllers are responsible for, and must be able to demonstrate compliance with, the data protection principles in Art. 5(1).
Right to data portability
https://gdpr-info.eu/art-20-gdpr/Data subjects have the right to receive personal data in a structured, commonly used, machine-readable format and to transmit it to another controller.
Consumer's right to delete personal information
https://leginfo.legislature.ca.gov/faces/codes_displaySection.xhtml?lawCode=CIV§ionNum=1798.105.Consumers may request that a business delete personal information the business has collected, subject to enumerated exceptions.
AI Governance
Record-keeping obligations for high-risk AI systems
https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32024R1689High-risk AI systems must be designed to automatically log events ('logs') throughout their lifecycle to the degree appropriate to their intended purpose.
Transparency and provision of information to deployers
https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32024R1689High-risk AI systems must be designed and developed to be sufficiently transparent to enable deployers to interpret their output and use it appropriately.
Transparency obligations for certain AI systems and GPAI model providers
https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32024R1689Providers of AI systems intended to interact directly with natural persons must ensure the systems are designed and developed so that persons are informed they are interacting with an AI system.
Healthcare
Audit controls — Technical safeguards
https://www.ecfr.gov/current/title-45/subtitle-A/subchapter-C/part-164/subpart-C/section-164.312Covered entities must implement hardware, software, and/or procedural mechanisms that record and examine activity in information systems containing or using ePHI.
Integrity — Technical safeguards
https://www.ecfr.gov/current/title-45/subtitle-A/subchapter-C/part-164/subpart-C/section-164.312Covered entities must implement policies and procedures to protect ePHI from improper alteration or destruction.
Security & Key Management
Security of processing
https://gdpr-info.eu/art-32-gdpr/Controllers and processors must implement appropriate technical and organisational measures to ensure a level of security appropriate to the risk.
Recommendation for Key Management — Part 1: General
https://doi.org/10.6028/NIST.SP.800-57pt1r5Establishes cryptographic key management lifecycle guidance including key generation, distribution, storage, use, and destruction.
Guidelines for Media Sanitization
https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-88r2.pdfProvides guidance on sanitization techniques for storage media — relevant context for cryptographic erasure posture; per-subject UEK destruction aligns with SP 800-57 key destruction, not SP 800-88 media sanitization.
Audit & Compliance Standards
Records of processing activities
https://gdpr-info.eu/art-30-gdpr/Controllers must maintain a record of processing activities under their responsibility, covering purposes, categories of data, recipients, and retention periods.
Logical and physical access controls — CC6.1
https://us.aicpa.org/interestareas/frc/assuranceadvisoryservices/trustservicescriteria.htmlThe entity implements logical access security software, infrastructure, and architectures over protected information assets to protect them from security events.
Logging — Annex A control A.8.15
https://www.iso.org/standard/27001Logs that record activities, exceptions, faults, and other relevant events shall be produced, stored, protected, and analysed.
Financial Services
FFIEC Cybersecurity Assessment Tool
https://www.ffiec.gov/cyberassessmenttool.htmProvides institutions a repeatable, measurable process for assessing their cybersecurity maturity against inherent risk levels.
Bank Secrecy Act — Multi-state money services business licensing
https://www.fincen.gov/resources/statutes-regulations/bank-secrecy-actFederal anti-money-laundering framework requiring MSBs to register with FinCEN and comply with recordkeeping and reporting obligations.
Enforcement Actions & Legislation
Primary enforcement decisions, GDPR fine reports, and state AI statutes cited in the Regulatory Urgency and Validation sections. Entries marked "URL pending" are documented in the registry pending founder verification.
DLA Piper. (2026). GDPR Fines and Data Breach Survey — 2026.
https://www.dlapiper.com/en/insights/publications/2026/01/dla-piper-gdpr-fines-and-data-breach-survey-2026Annual survey of GDPR fines and data breach notifications across EU member states. Source for €1.2B in GDPR fines reported in 2025. Provenance: VD (verified document; 429 on automated fetch = rate-limited, canonical URL confirmed).
European Data Protection Board. (2026, 10 February). 2025 Coordinated Enforcement Action — Implementation of the Right to Erasure by Controllers.
https://www.edpb.europa.eu/system/files/documents/2026-02/edpb_cef-report_2025_right-to-erasure_en.pdfCEF 2025 report adopted 10 February 2026. Findings from 764 controllers across 32 supervisory authorities; nine DPAs opened formal enforcement investigations. Identifies ineffective anonymisation as substitute for deletion, absent retention periods, and technical limitations in backup systems as recurring failures. Provenance: VD.
European Data Protection Board. (2026, 7 July). Guidelines 02/2025 on Processing of Personal Data Through Blockchain Technologies (v2.0).
https://www.edpb.europa.eu/system/files/2026-07/edpb_guidelines_202502_blockchain_v2_en.pdfVersion 2.0, adopted 7 July 2026 (supersedes v1.0 from April 2025). Addresses key and salt destruction as technical measures for Art. 17 compliance — deleting a decryption key renders encrypted data unintelligible, subject to algorithm integrity and key non-compromise; encrypted personal data remains personal data. Provenance: VD.
European Parliament and Council. (2024). Regulation (EU) 2024/1689 Laying Down Harmonised Rules on Artificial Intelligence (EU AI Act).
https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32024R1689EUR-Lex ELI permalink for the consolidated text of Regulation (EU) 2024/1689. Art. 50 transparency obligations and GPAI requirements took effect August 2, 2026. Annex III standalone high-risk AI system obligations take effect December 2, 2027. Provenance: VD.
MultiState Associates. (2025). Artificial Intelligence Legislation — State Tracker.
https://www.multistate.us/pages/artificial-intelligence-legislationMultiState AI legislation tracker. Source for 1,208 AI bills introduced across US states in 2025, 145 enacted into law. Provenance: VD (confirmed URL per audit; page requires authenticated session for full dataset).
National Conference of State Legislatures. (2025). Artificial Intelligence Legislation Database.
https://www.ncsl.org/technology-and-communication/artificial-intelligence-legislation-databaseNCSL comprehensive tracker of state-level AI legislation across all US jurisdictions. Provenance: VD (403 on automated fetch — known bot/WAF protection; canonical NCSL URL per task specification).
Data Protection Commission (Ireland). (2025, May). Decision in TikTok Technology Limited Inquiry — €530M Fine.
DPC decision fining TikTok €530M for unlawful data transfers to China, issued May 2025. Upheld by Irish High Court, June 2026. Primary URL on dataprotection.ie could not be verified by automated fetch (404) — UNRESOLVED, see audit report. Provenance: VM (secondary reporting; primary not locatable).
Data Protection Commission (Ireland). (2024, October). Decision in LinkedIn Ireland Unlimited Company Inquiry — €310M Fine.
DPC decision fining LinkedIn €310M for AI-powered behavioral profiling without valid consent basis, issued October 2024. Primary URL on dataprotection.ie could not be verified by automated fetch (404) — UNRESOLVED, see audit report. Provenance: VM (secondary reporting; primary not locatable).
U.S. Department of Health & Human Services. (2025, January 6). HIPAA Security Rule to Strengthen the Cybersecurity of Electronic Protected Health Information (90 FR 898).
Notice of Proposed Rulemaking published 6 January 2025 (90 FR 898). Would mandate encryption of all ePHI and remove the 'addressable' designation — first material Security Rule overhaul since 2013. Comment period closed 7 March 2025; ~4,745 comments received. Federal Register document number for 90 FR 898 could not be verified by automated fetch — UNRESOLVED, see audit report. Provenance: VM.
Colorado General Assembly. (2024). Senate Bill 24-205 — Colorado Artificial Intelligence Act. Effective June 30, 2026.
https://leg.colorado.gov/bills/sb24-205Colorado AI Act (SB 24-205). Requires deployers of high-risk AI systems to use reasonable care to protect consumers from algorithmic discrimination; NIST AI RMF compliance provides presumptive defense. Effective 30 June 2026. Provenance: VD.
California Legislature. (2024). Senate Bill 942 — California AI Transparency Act. Effective August 2, 2026.
https://leginfo.legislature.ca.gov/faces/billNavClient.xhtml?bill_id=202320240SB942California AI Transparency Act (SB 942). Requires providers of generative AI systems to make AI detection tools publicly available and to include disclosure information in AI-generated content. Effective 2 August 2026. Provenance: VD.