The Counter-Coordination Layer

A civic immune system for coordinated power

The central political conflict of the AI era is increasingly a conflict between unequal coordination systems. Corporations, financial institutions, political networks, professional associations, donors, consultancies, and state actors possess persistent infrastructure for identifying common interests and acting before the wider public recognizes that a decision is being formed. Citizens generally encounter the finished product: a bill, price increase, closure, contract, media narrative, regulatory decision, or crisis.

Commonsent already addresses legislation, public claims, market behavior, collective purchasing, local ownership, agentic representation, and institutional accountability. Those modules remain necessary, but they are often downstream. A bill tracker can show how a proposal changes. A misinformation system can test a public claim. Neither necessarily reveals the prior coordination that selected the agenda, aligned the participants, funded the campaign, circulated the language, and prepared the institutional route.

The proposed Strategic Coordination Layer closes that gap. It does not attempt to expose every private conversation. It creates public visibility around consequential coordination: activity by powerful actors that plausibly shapes public decisions, market structure, collective resources, rights, or material conditions. The system is built around five linked capabilities.

The missing democratic layer

Democratic systems concentrate attention on formal acts. Legislatures publish bills. Agencies publish rules. Companies disclose selected financial and governance information. Campaign committees file reports. Courts produce dockets and opinions. These are essential traces, but they are often records of a decision after the relevant coalition has already formed.

Influence is broader than a registered lobbying contact. The U.S. Lobbying Disclosure Act itself defines lobbying activities to include planning, research, background work, and coordination with the lobbying activities of others.^[18] The OECD's revised international recommendation similarly treats lobbying and influence as a wider integrity problem involving transparency, conflicts of interest, stakeholder participation, and the use of intermediaries.^[1] Its 2026 integrity outlook warns that lobbying safeguards remain comparatively weak in many countries and links this weakness to asymmetric influence and declining ownership transparency.^[2]

The gap is visible in several domains. Ownership may be separated across subsidiaries, funds, nominee arrangements, and legal jurisdictions. Policy ideas may travel through think tanks, trade associations, consultancies, model language, and expert networks before appearing as a proposal. Corporate boards and professional networks transmit information and expectations across organizations. Research on global corporate ownership found a tightly connected core in the transnational ownership network, while earlier modeling showed how information traveling through shared directors can produce common board decisions without requiring a single command center.^[15][16]

This does not mean that every overlap is a conspiracy. Shared incentives, common information, professional culture, and rational imitation can produce alignment. The democratic deficiency is more specific: when the public cannot distinguish independent convergence from coordinated action, cannot identify who benefited, cannot reconstruct the chain of influence, and cannot organize a response at comparable speed.

Private coordination is not automatically illegitimate

Negotiation often requires confidentiality. Diplomacy, security planning, litigation, labor bargaining, commercial strategy, and early-stage policy discussion can all have legitimate private components. Even controversial elite forums may disclose some elements while keeping proceedings private. The Bilderberg Meetings, for example, publish annual topics and participant lists but do not publish a detailed transcript of the discussion.^[17] Attendance alone establishes only attendance.

The Commonsent threshold is therefore not secrecy in the abstract. It is the combination of concentrated capacity, meaningful coordination evidence, opacity, public impact, and low contestability. A private dinner among friends is outside scope. A private meeting that appears to align dominant suppliers before a price shift may justify further analysis. A confidential negotiation that later produces disclosed terms may be legitimate. A hidden beneficial owner directing political spending through several intermediaries may require disclosure, investigation, or enforcement.

The coordination stack

Powerful coordination is effective because it unfolds as a process rather than a single event. Participants first decide which problem deserves attention. They establish a shared interpretation before wider debate begins. They mobilize capital, expertise, legal capacity, institutional access, and communications. They synchronize enough of the public narrative to make their preferred action appear inevitable or technically neutral. They insert the design into law, procurement, standards, contracts, lending criteria, platform rules, or organizational practice. Finally, they create lock-in through sunk costs, ownership, legal rights, technical dependencies, or normalized expectations.

A political module that begins at the bill stage observes only the fifth step. A media module that begins with public advertising observes mostly the fourth. Commonsent needs to reconstruct the whole stack.

Defining strategic coordination

For Commonsent, strategic coordination is a patterned relationship among actors who align information, resources, timing, narratives, or institutional action in pursuit of an outcome that affects people beyond the coordinating group. The definition is intentionally neutral. Workers coordinate. Communities coordinate. Governments coordinate. Firms coordinate. The question is whether the arrangement is disclosed, lawful, proportionate, contestable, and compatible with the public interest.

Opaque strategic coordination exists when important elements of the relationship, participants, funding, purpose, beneficiary, or action path remain inaccessible to affected publics and normal oversight systems. Capture coordination is the narrower condition in which a concentrated network gains durable influence over an institution that is formally expected to serve a broader constituency.

The unit of analysis is not a secret meeting. It is a coordination episode: a bounded series of related events and flows that can be examined over time. An episode might contain a conference, a donor transfer, a new advisory appointment, shared draft language, a communications campaign, a procurement requirement, and a beneficial outcome. Any single element may be benign. The sequence can be informative.

The object model: people, organizations, events, flows, decisions, and outcomes

The foundation is the Power Trace Graph. It adapts standard provenance principles to civic power. W3C PROV-O provides a general model for representing entities, activities, agents, derivation, attribution, delegation, and time.^[14] Commonsent extends that logic with domain-specific objects for ownership, influence, public claims, policy language, procurement, lobbying, political finance, governance roles, and measurable outcomes.

Each graph edge must carry a source, timestamp, extraction method, jurisdiction, confidence level, and access status. A relationship can be confirmed, disputed, inferred, expired, corrected, or superseded. This matters because ownership, employment, alliances, and policy positions change. Open Ownership emphasizes that beneficial ownership records should preserve history as ownership and control evolve.^[12]

Traceability without conspiracy inflation

Any system designed to analyze hidden coordination faces a dual failure mode. It can be too weak, treating every public filing as an isolated document and therefore missing networked power. Or it can be too imaginative, connecting unrelated events into a persuasive but unsupported story. Commonsent must be engineered against both errors.

The core discipline is simple: the graph may preserve a hypothesis, but the public interface must preserve the difference between observation, inference, allegation, and verified finding. A network relationship can raise a question without answering it. A statistical anomaly can prioritize a review without establishing intent. A synchronized message can reflect planning, common incentives, a shared source, or coincidence. The system must actively test alternatives.

The purpose is not to make every private institution suspect. The purpose is to make consequential power legible enough that democratic society can investigate, challenge, negotiate with, or counterbalance it.

The Public Trace Observatory

The observatory joins data that is already public but institutionally fragmented. SEC EDGAR provides more than two decades of searchable company filings.^[5] The FEC provides receipts, disbursements, independent expenditures, committee filings, and related campaign-finance records.^[6] USAspending is the official open source for federal contracts, grants, loans, and other awards.^[8] FARA requires certain agents of foreign principals to disclose relationships, activities, receipts, and disbursements.^[9] FOIA provides a process for requesting federal agency records, subject to statutory exemptions.^[7]

Cross-border identity and ownership require additional standards. GLEIF provides unique legal entity identifiers as a free public good.^[11] Open Ownership's Beneficial Ownership Data Standard provides a machine-readable structure for ownership and control information.^[12] FATF guidance emphasizes adequate, accurate, and up-to-date information about the people who ultimately own or control legal persons and arrangements.^[3] Public contracting can be normalized using the Open Contracting Data Standard, which connects planning, tender, award, contract, and implementation stages through a common model.^[10]

Permissioned and protected evidence

Public data will not reveal every meaningful arrangement. A second intake path can accept lawful disclosures from insiders, researchers, journalists, watchdog groups, unions, affected businesses, and public officials. This path should not encourage theft, hacking, unlawful interception, or unauthorized disclosure of protected material. It should provide triage, encryption, legal referral, evidence preservation, and identity separation.

Existing enforcement systems demonstrate why incentives and protection matter. The Justice Department's antitrust leniency policy is designed to destabilize price-fixing, bid-rigging, and market-allocation cartels by rewarding early self-reporting and cooperation.^[4] SEC's whistleblower program similarly incentivizes specific, timely, credible information about possible securities-law violations.^[19] Anti-retaliation protections exist in multiple domains, including criminal antitrust.^[20] Commonsent should not replicate statutory enforcement, but it can help people find the correct channel, preserve provenance, pool legal support, and record whether institutions responded.

System architecture

The Strategic Coordination Layer consists of five services that operate as one civic workflow. The first three produce understanding. The fourth produces action. The fifth produces institutional memory.

1. Power Trace Graph

The graph resolves identities and relationships across time. It distinguishes a person from an organization, a legal entity from a brand, a parent company from a subsidiary, an event from a permanent forum, an allegation from a finding, and an announced partnership from an inferred alliance. The graph must support aliases, mergers, dissolved entities, role dates, ownership percentages, indirect control, and jurisdictional boundaries.

2. Strategic Coordination Signal Engine

The signal engine evaluates whether an episode deserves further human attention. It uses graph motifs, temporal sequencing, financial-link analysis, text similarity, change-point detection, network concentration, common-beneficiary analysis, and outcome concentration. It produces a case priority and an explanation of the contributing signals.

3. Evidence Deliberation Workspace

Analysts, community reviewers, subject experts, affected parties, and independent auditors examine the evidence bundle. They can propose competing explanations, challenge entity matches, mark missing context, request disclosure, and separate public facts from analytical inference. High-impact cases require adversarial review before public escalation.

4. Public Counter-Coordination Engine

Validated cases are translated into feasible public responses. Personal agents notify people whose declared interests are affected. The system forms temporary issue cells, identifies existing organizations, suggests a coalition structure, estimates resources, prepares disclosure requests, produces plain-language maps, and simulates intervention paths. The same engine can coordinate consumer demand, labor action, shareholder engagement, public comments, procurement alternatives, litigation support, journalism, or community investment.

5. Resolution Ledger

The ledger records whether anything changed. Exposure without resolution can become spectacle. The ledger tracks responses from institutions, revised disclosures, corrected models, contract changes, legal referrals, enforcement outcomes, coalition results, economic rerouting, and structural alternatives. It also retains reversals and errors so that the system's credibility is measurable.

A risk index for triage, not guilt

The Coordination Risk Index provides a transparent way to prioritize limited attention. Each factor is normalized from zero to one:

P measures concentrated capacity; K measures evidence of coordination beyond independent action; O measures opacity; I measures the public impact and durability of the possible outcome; Q measures evidence quality; and C measures contestability, including disclosure, oversight, alternative providers, public participation, and the ability to exit.

The multiplicative structure is intentional. A private event with little public impact produces a low score. A highly consequential decision with weak evidence remains an investigation priority but not a public allegation. A powerful disclosed coalition operating through transparent procedures may have a high power term but lower opacity and higher contestability.

Detection and analytical methods

The engine should combine deterministic rules, statistical methods, graph analysis, natural-language processing, and human review. No single model is sufficient because coordination is expressed through several modalities.

Network analysis

Degree centrality identifies actors with many direct connections. Betweenness identifies brokers that link otherwise separate groups. Eigenvector-like measures identify actors connected to other influential actors. Community detection can reveal clusters. Multiplex graphs show that the same relationship may involve ownership, employment, funding, event attendance, and message alignment. Temporal graphs prevent the system from treating a relationship that ended ten years ago as equivalent to a current relationship.

Network centrality is not a moral score. A journalist, regulator, lawyer, or researcher may be central precisely because their role requires broad contact. The engine therefore asks whether centrality combines with resource flows, synchronized action, opacity, and concentrated benefits.

Semantic and document-lineage analysis

Policy coordination often leaves textual traces. The system can compare versions of bills, regulations, procurement specifications, trade-association documents, public comments, white papers, talking points, advertisements, and testimony. Exact matching can detect copied phrases. Semantic similarity can detect paraphrased structures. Citation graphs can identify common origin documents. Version chronology can distinguish who published first.

The method must be conservative. Similarity is evidence of shared language, not necessarily secret planning. Commonsent should display the documents side by side, show the matching passages, identify public source material, and invite explanation.

Temporal motifs and episode reconstruction

Sequence matters. A meeting followed by funding, synchronized messaging, personnel movement, and a favorable rule is analytically different from the same events spread randomly across years. The system can search for recurring motifs such as event -> money -> message -> decision -> benefit. Bayesian updating can increase or decrease the plausibility of competing hypotheses as evidence arrives.

Information integrity and model governance

NIST's AI Risk Management Framework identifies accountability, transparency, explainability, privacy, reliability, security, and fairness as characteristics of trustworthy AI.^[13] Those principles are particularly important here because a plausible-looking false network can harm people and discredit the entire project. Models should be documented, versioned, tested against known cases, evaluated for false-positive rates, and separated from the authority to publish or escalate a case.

Every public signal should include a machine-readable explanation: contributing evidence, source dates, model version, confidence, known gaps, and alternative hypotheses. Analysts should be able to reproduce the score without access to a hidden proprietary model.

Classification and evidence standards

Commonsent should classify coordination episodes along several independent dimensions rather than assigning a single sensational label. The core dimensions are evidence confidence, public impact, opacity, legal status, coordination type, and remedy urgency.

Evidence states

Coordination classes

A separate classification describes what kind of relationship is present. Affinity means common background or incentives. Disclosed coalition means explicit joint action. Intermediated influence means coordination through advisers, trade groups, consultants, nonprofits, funds, or other brokers. Opaque strategic alignment means evidence of coordinated action with material undisclosed elements. Capture pattern means durable control or dependence affecting an institution's broader duty. Unlawful collusion is reserved for adjudicated findings or evidence appropriate for legal referral.

This multi-axis scheme prevents a common analytical error: using "secret" as both a description of access and a conclusion about misconduct.

Public counter-coordination

Detection has limited value unless it changes the balance of action. The public problem is not only lack of information. It is the inability to convert information into organized capacity before the relevant decision closes.

Commonsent therefore treats every validated case as a coordination design problem. Who is affected? Which interests overlap? Which institutions have authority? What public records are missing? What economic leverage exists? Which professional expertise is needed? What deadline controls the response? What lower-cost action can test whether escalation is necessary?

Compressing the public latency gap

Powerful groups often maintain standing teams. They do not begin from zero when an opportunity appears. The public usually does. Commonsent's personal agents can maintain a persistent map of a person's declared interests, geography, employment, consumption, investments, community roles, and policy priorities. When a coordination episode threatens those interests, the agent can explain the evidence and ask for a bounded delegation: sign a disclosure request, join a temporary coalition, redirect purchases, contribute to an expert fund, submit a public comment, contact a representative, or support a community alternative.

The proportional response ladder

Commonsent should begin with the least coercive action likely to improve transparency or contestability. Many cases can be resolved through a request for disclosure, correction, participation, or conflict management. Escalation becomes appropriate when the potential impact is high, evidence strengthens, lower-level remedies fail, or the decision window is closing.

Response mechanisms

Disclosure action can include public-record requests, lobbying and conflict disclosures, beneficial-ownership questions, meeting calendars, procurement documents, methodology requests, and a formal right of reply. Commonsent can generate narrow, legally grounded requests rather than mass harassment.

Narrative inoculation publishes an accessible evidence map before a coordinated public campaign defines the issue. The purpose is not counter-propaganda. It is to make the funding, relationships, uncertainties, and material stakes visible so that people can interpret subsequent messages.

Democratic counter-agenda organizes affected constituencies around an alternative proposal rather than mere opposition. Personal agents can identify where preferences overlap, while collective deliberation can define non-negotiable constraints, acceptable compromises, and delegated negotiators.

Economic counter-routing uses coordinated demand, procurement, investment, labor, insurance, credit, and local ownership. If a concentrated network uses market power to make its preferred policy unavoidable, Commonsent can make public exit and substitution more feasible. This connects directly to the project's antitrust demand-routing and recirculatory-capital modules.

Institutional referral packages the evidence for inspectors general, ethics bodies, competition authorities, procurement officers, courts, regulators, journalists, unions, shareholders, or professional associations. The package should preserve provenance and clearly distinguish fact from inference.

Structural counterpower is the final response when recurring exposure produces no durable change. Communities may need cooperative ownership, public options, interoperable infrastructure, new procurement standards, antitrust remedies, independent oversight, or institutional redesign.

Resolution, not exposure alone

Traditional accountability systems often optimize for revelation. A report is published, a scandal peaks, and attention moves on. The underlying network may remain intact. Commonsent should define success as a measurable change in the relevant coordination asymmetry.

A case can be resolved in several ways. The contested coordination becomes disclosed and governed. A conflict is removed. Participation is broadened. A procurement is reopened. A policy is revised. Ownership is clarified. A false allegation is corrected. A regulator opens an investigation. A coalition negotiates enforceable terms. A community creates an alternative supplier. A court or agency issues a remedy. The evidence weakens and the case is closed.

Resolution metrics

Rights and epistemic safeguards

A system that maps power can itself become a source of power. Commonsent must therefore constrain the module more strongly than ordinary social-media investigation or commercial intelligence products.

Public-interest scope

The graph should focus on actors exercising consequential institutional, economic, political, or informational power. Ordinary employees, family members, event staff, minor donors, and incidental attendees should be minimized, aggregated, or redacted unless their role is materially relevant and lawfully documented.

No guilt by association

Membership, attendance, employment, education, friendship, or shared ideology cannot establish coordinated misconduct. These facts can explain access pathways, but the system must require action-linked evidence before increasing a coordination classification.

Lawful collection and anti-vigilantism

The module should prohibit hacking, stalking, unlawful interception, impersonation, publication of private addresses, threats, harassment, and campaigns against family members. It should provide rate limits, identity controls, community moderation, and legal escalation paths. The system's legitimacy depends on being more disciplined than the networks it evaluates.

Adversarial review and right of reply

High-impact public cases should pass through an independent review panel with access to the evidence bundle and the strongest alternative explanation. Named organizations and individuals should receive a structured opportunity to respond, submit corrections, explain common-source effects, or disclose additional context. Their response appears beside the original case.

Model separation

The model that finds a pattern must not have the authority to publish, accuse, or trigger coercive action. Detection, review, classification, publication, and escalation should be separated across roles. This mirrors good control design in financial systems, journalism, science, and safety engineering.

Open methods and auditability

Core ontologies, scoring definitions, test sets, change logs, and error metrics should be public. Sensitive sources can remain protected, but the logic used to reach a public conclusion must be inspectable. Commonsent should publish false-positive, correction, appeal, and time-to-resolution statistics.

Worked scenario: an opaque policy coalition

Consider a hypothetical regional policy episode. Several large firms, a trade association, a philanthropic fund, a consulting firm, and public officials attend overlapping closed forums. No single meeting record proves a plan. Over the next eight weeks, several nominally independent organizations publish reports using highly similar framing. Lobbying registrations and campaign expenditures rise. A consulting executive moves into a public advisory role. A procurement or regulatory proposal appears with technical requirements that favor a narrow set of suppliers.

The Power Trace Graph links only documented events: participant lists, organizational roles, filings, funding records, report publication dates, text similarity, lobbying records, and the proposed requirements. The signal engine identifies temporal, semantic, personnel, and financial motifs. The Evidence Deliberation Workspace tests alternative explanations: a shared public report, a real technical constraint, a common crisis, or independent adoption of an industry standard.

Suppose the evidence remains suggestive but incomplete while the public impact is high. Commonsent does not publish "secret conspiracy." It opens a high-impact investigation, requests participant and conflict disclosures, publishes a neutral timeline, asks the agency to disclose the source of the technical language, and gives the organizations a right of reply. Personal agents notify affected small businesses, workers, consumers, and local officials. A coalition commissions an independent technical review and proposes performance-based requirements that permit more suppliers.

If the agency revises the procurement, discloses the advisory process, and adds conflict controls, the case resolves through procedural repair. If records show bid-rigging or unlawful allocation, the evidence is referred to appropriate authorities. If no illegality exists but market concentration makes the outcome unavoidable, Commonsent can coordinate alternative procurement, pooled purchasing, cooperative ownership, or a public option.

Integration with the wider Commonsent system

The Strategic Coordination Layer is not a standalone investigative platform. It becomes valuable because it connects evidence to personal agency, collective organization, economic leverage, institutional accountability, and long-term public capacity.

Personal AI agents

Agents translate a complex network case into the user's own interests and constraints. They can answer: How might this affect my job, prices, taxes, health, community, investments, rights, or children? Which facts are verified? What is disputed? What action is being requested? What information would change the conclusion? Delegation must be specific and revocable.

Civic intelligence

Legislative, regulatory, procurement, budget, market, and narrative objects become linked to the coordination episode that produced or promoted them. Users can move backward from an outcome to its origins and forward from an emerging network to the decisions it may affect.

Collective coordination

Commonsent forms issue-specific groups based on overlapping interests, not permanent ideological identity. A worker, small supplier, environmental group, taxpayer association, and municipal official may share a narrow interest in transparent procurement without sharing a broader political program.

Recirculatory economy

Where concentrated coordination depends on ownership and market leverage, public counterpower must include capital. Voluntary transaction contributions, pooled purchasing, cooperative investment, community acquisition, mutual credit, and local procurement can turn a temporary campaign into durable capacity.

Governance and accountability

The Resolution Ledger feeds representative scorecards, institutional audits, public commitments, and governance-rule updates. An institution that repeatedly resists disclosure or reproduces the same capture pattern can be evaluated structurally rather than as a series of unrelated incidents.

Federated learning

A local node may discover a procurement clause that appears in several jurisdictions. Another may identify the same intermediary or policy document. Federated architecture allows verified patterns, entity identifiers, ontologies, and analytical methods to travel without centralizing all personal data. Local communities retain control over their cases while benefiting from network-scale intelligence.

Implementation roadmap

The module should begin with narrow, auditable use cases rather than an attempt to map all power. Public procurement is a strong starting domain because data, decision stages, deadlines, bidders, awards, and material outcomes can be comparatively well defined. A second domain could be state-level model-policy diffusion. A third could be local ownership and beneficial-interest mapping around essential services.

Phase 1: governance and ontology

Define scope, prohibited uses, evidence states, appeal rights, user roles, source licensing, data retention, and publication thresholds. Build the core person, organization, event, ownership, funding, document, decision, contract, and outcome schema. Adopt W3C provenance principles, LEIs where available, beneficial-ownership structures, and contracting identifiers.

Phase 2: manually reviewed trace graph

Ingest a limited number of reliable sources. Create analyst tools for entity matching, chronology, evidence bundles, and source citation. Human analysts should validate each public relationship. The objective is not scale; it is a high-quality training and evaluation corpus.

Phase 3: signal engine

Add network motifs, temporal sequence detection, document similarity, concentration metrics, and explainable prioritization. Measure precision, recall, calibration, analyst agreement, and correction rates. Red-team the system with benign networks that could easily be misclassified.

Phase 4: public counter-action pilots

Select cases where the remedy can be measured: a disclosure request, procurement intervention, conflict-policy reform, public comment coalition, or demand-routing action. Evaluate not only participation but institutional response and material change.

Phase 5: resolution network

Add appeals, versioned case closure, protected evidence intake, legal referral partnerships, journalist and researcher interfaces, local replication, and cross-node learning. At this stage Commonsent becomes a civic immune system rather than a research dashboard.

From episodic exposure to durable counterpower

Concentrated power does not prevail only because it has more money or better information. It prevails because it coordinates continuously, remembers institutionally, acts early, and converts temporary alignment into durable structure.

The people cannot close this gap by attending every meeting, reading every filing, or becoming permanent investigators. They need agentic assistance, shared evidence infrastructure, trustworthy classification, rapid coalition formation, economic leverage, and a memory of what worked. That is the purpose of the Commonsent Strategic Coordination Layer.

The module should make traces visible without pretending that every pattern proves a plot. It should protect confidentiality where legitimate while exposing public-impact relationships that cannot justify secrecy. It should respond proportionately, preserve civil liberties, and measure resolution rather than attention. Most importantly, it should transform isolated citizens into a federated public capable of understanding and contesting power at the stage where power is actually being assembled.

Selected sources and standards

1. OECD Council. Recommendation on Transparency and Integrity in Lobbying and Influence (2024). https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0379
2. OECD. Anti-Corruption and Integrity Outlook 2026: Lobbying (2026). https://www.oecd.org/en/publications/anti-corruption-and-integrity-outlook-2026_16708b78-en/full-report/component-6.html
3. Financial Action Task Force. Guidance on Beneficial Ownership and Transparency of Legal Arrangements (2024). https://www.fatf-gafi.org/en/publications/Fatfrecommendations/Guidance-Beneficial-Ownership-Transparency-Legal-Arrangements.html
4. U.S. Department of Justice, Antitrust Division. Leniency Policy (current). https://www.justice.gov/atr/leniency-policy
5. U.S. Securities and Exchange Commission. Modernization of Beneficial Ownership Reporting (2023). https://www.sec.gov/rules-regulations/2023/10/33-11180
6. Federal Election Commission. Campaign Finance Data (current). https://www.fec.gov/data/browse-data/
7. FOIA.gov. Freedom of Information Act public access portal (current). https://www.foia.gov/
8. USAspending.gov. Official open data source for federal awards (current). https://www.usaspending.gov/
9. U.S. Department of Justice. Foreign Agents Registration Act (current). https://www.justice.gov/nsd-fara
10. Open Contracting Partnership. Open Contracting Data Standard (current). https://standard.open-contracting.org/
11. Global Legal Entity Identifier Foundation. Introducing the Legal Entity Identifier (current). https://www.gleif.org/en/about-lei/introducing-the-legal-entity-identifier-lei
12. Open Ownership. Beneficial Ownership Data Standard (2025). https://standard.openownership.org/
13. National Institute of Standards and Technology. Artificial Intelligence Risk Management Framework 1.0 (2023). https://nvlpubs.nist.gov/nistpubs/ai/nist.ai.100-1.pdf
14. World Wide Web Consortium. PROV-O: The PROV Ontology (2013). https://www.w3.org/TR/prov-o/
15. Vitali, Glattfelder, and Battiston. The Network of Global Corporate Control (2011). https://arxiv.org/abs/1107.5728
16. Battiston, Weisbuch, and Bonabeau. Spread of Decisions in the Corporate Board Network (2003). https://arxiv.org/abs/cond-mat/0312228
17. Bilderberg Meetings. Official meeting topics and participant information (2026). https://www.bilderbergmeetings.org/press/press-release/press-release
18. U.S. Senate. Lobbying Disclosure Act definitions (current). https://www.senate.gov/legislative/Lobbying/Lobby_Disclosure_Act/3_Definitions.htm
19. U.S. Securities and Exchange Commission. Whistleblower Program (current). https://www.sec.gov/enforcement-litigation/whistleblower-program
20. OSHA. Criminal Antitrust Anti-Retaliation Act protections (current). https://www.whistleblowers.gov/statutes/caara

This paper is a system-design proposal. References support the factual background and technical standards; the Commonsent architecture, formulas, classifications, and implementation design are original proposals presented for discussion and validation.