Hidden in Plain Sight: Networked Power, Funding, and Accountability in Post-Publication Commentary

The study examines publicly identifiable individuals, groups, platforms, organisations, publications, programmes, and services that identify, interpret, disseminate, aggregate, fund, recognise, moderate, or operationalise concerns about published research. Watchdog actor is used functionally rather than honorifically and does not imply equivalent purpose, expertise, reach, reliability, or authority. The purposive sample comprises the actors compared in Table 2 and adjacent organisational or infrastructural nodes required to document relevant funding, governance, recognition, dissemination, or data relationships. Inclusion required sustained post-publication activity, a public archive or service, participation in dissemination or assessment, or a documented relationship relevant to professionalisation, moderation, institutional use, funding, or recognition. Routine journal correspondence, isolated social-media posts, unsupported private allegations, and mere co-attendance or thematic similarity were excluded as independent nodes. The unit of analysis is the documented actor, role, relationship, resource flow, or technical integration—not the validity of every criticism associated with that actor. The sample is bounded rather than statistically representative, and the study makes no frequency claim about the wider global population of post-publication initiatives.

Network denotes a set of typed, publicly documented connections: organisational affiliation; employment or governance; funding and awards; conference participation; contributor or cross-posting relationships; database acquisition or distribution; and dashboards, application programming interfaces, alerts, or institutional services. Each connection is coded according to what its source proves, so affiliation is not conflated with funding, funding with control, participation with governance, or public linking with collaboration. No connection is treated as proof of coordination, endorsement, bias, misconduct, or private motive. Recurrence may reflect genuine expertise, visibility, shared subject matter, or the small size of a specialised field. It becomes governance-relevant when the same actors or organisations recur across concern identification, amplification, moderation, funding, recognition, data integration, or institutional response, because role accumulation can create concentrated effects even without a concerted plan. Hidden therefore refers to fragmented and uneven cross-disclosure, not clandestine organisation. The analysis is qualitative: it maps only documented edges, does not calculate centrality, and does not infer private communication, causation, or a controlling centre. This restraint does not make the network analytically trivial; it prevents the article from using the accusatory method it subjects to criticism.

The corpus consists principally of first-party, official, statutory, contractual, and technical materials publicly accessible through 28 August 2026: governance and financial pages, nonprofit filings, platform policies, grant and award announcements, conference programmes, government materials, contributor profiles, database agreements, repositories, and API documentation. First-party materials establish how an actor describes its structure, funding, services, or procedures; they do not independently prove that disclosure is complete or that a stated procedure is consistently applied. Consequential claims concerning status, amounts, contractual terms, governance roles, and institutional relationships were corroborated where practicable through filings, agreements, reciprocal announcements, or contemporaneous official documentation. Selected journalism and scholarship supply context where primary documentation is unavailable [18–19]. They are not substituted for statutory, contractual, or technical records when those records exist. Because webpages are mutable, the references record the responsible actor, title, date where available, URL, and retrieval date.

Sources were ranked by claim-specific fitness: statutory and official records; first-party programme, grant, award, conference, partnership, and infrastructure records; platform policies and interfaces; named organisational or personal pages; and independent journalism or scholarship used mainly for context. Rank does not imply neutrality or completeness. Every citation is limited to the proposition it can establish. A programme can document a role but not payment unless payment is separately recorded; a donation page can show solicitation but not the amount received; a database announcement can document acquisition and integration but not improper motive; and co-appearance can document overlap but not coordination. Tables 1–3 and Figure 1 apply the same rule at the level of each factual entry and relationship.

When relevant information concerning funding, governance, monetisation, access, or professional relationships was not located, the article states that no relevant information was identified in the public materials reviewed. That formulation does not mean that no relationship exists. Public silence can reflect informality, incomplete pages, archival loss, limited administrative capacity, or non-public arrangements that the available record cannot distinguish. A donation button shows a support mechanism but not income; its absence does not prove unpaid work. Pseudonymity does not prove bad faith, and named authorship does not ensure institutional accountability. Non-disclosure is therefore analysed as a limit on auditability, not converted into evidence of concealment. The consequence of incomplete disclosure is proportional. It becomes more serious as funding, audience persistence, moderation authority, institutional integration, data centrality, or capacity to affect identifiable researchers increases. This standard does not impose the reporting burden of a funded platform on an occasional blogger, but it does deny influential actors an accountability exemption based on informal origins or public-interest branding.

A current governance page cannot establish what was disclosed historically. Archived policies, staff lists, donor pages, moderation rules, correction practices, and service descriptions can support longitudinal comparison, but archival gaps may reflect technical exclusion, redesign, incomplete capture, or loss. They are treated as limits on auditability rather than proof of deliberate concealment.

To prevent the methods from duplicating the findings, the actor taxonomy appears once in Table 2. Hybrid actors are classified by documented functions rather than forced into a single institutional category; the matrix distinguishes personal and pseudonymous commentary, collaborative or platform models, nonprofit and journalistic infrastructure, governmental oversight, conferences and awards, scholarly infrastructure, counter-scrutiny, and publisher integrity teams.

Advantage means a documented or plausibly inferred resource, opportunity, capacity, reputational gain, or agenda-setting position, not an improper motive. The analysis distinguishes public or epistemic, financial, professional or reputational, institutional or infrastructural, and policy advantages, and attributes each only at the evidentiary level supported by the record.

Three complementary approaches are used.

Actors are compared by operator identity, legal or organisational status, governance disclosure, funding and revenue, moderation, technical functions, correction mechanisms, and institutional integration. Table 2 presents the descriptive comparison without implying equivalence among actors placed in the same category.

Figure 1 and Table 3 map only publicly documented organisational, financial, leadership, programme, conference, recognition, data-infrastructure, contributor, and linking relationships. The analysis asks where functions and resources accumulate and how signals travel; it does not infer unrecorded edges, calculate culpability, or treat network position as misconduct.

The conceptual models examine how attention, funding, institutional delay, professional opportunity, legal exposure, and correction costs could interact. They organise testable governance questions and do not estimate actual preferences, payoffs, strategy, or motive.

Claims are classified as documented fact, analytical inference, or unverified hypothesis. A documented fact is supported by a source capable of proving the stated relationship; an inference explains the governance significance of documented facts; and a hypothesis identifies a question requiring further evidence. Language and conclusions are limited accordingly. The source-independence test asks whether later coverage identifies its originating source, documents genuinely independent verification, discloses material contributor overlap, and distinguishes allegation from authorised adjudication. Without those conditions, multiple appearances are counted as one information pathway rather than independent confirmations.

The study is limited to public information and excludes confidential contracts, private correspondence, unpublished moderation records, non-public donor conditions, dashboard agreements, access logs, legal files, and institutional investigations. Official pages may be promotional, incomplete, outdated, or mutable, while filings may lag behind current activity. The English-language purposive sample is not a comprehensive global map. The study does not adjudicate the scientific merits of individual comments or decide whether a particular moderation, journal, or institutional action was justified. Its qualitative network map cannot establish private communication, causation, or coordination, and its incentive models are conceptual rather than empirically estimated. Anonymous-source independence is especially difficult to audit. PubPeer states that it cannot identify anonymous commenters and that readers cannot assess their motives or conflicts; its FAQ also describes account-level moderation through whitelisting and greylisting [6]. These design choices may protect vulnerable critics, but they prevent the public from testing whether apparently separate comments are independent or whether material interests recur behind multiple identities. Where public identity cannot safely be disclosed, confidential identity and competing-interest verification, auditable moderation, and independent appeal become more—not less—important. The article is therefore a structured analysis of observable governance, incentives, resource flows, and relationships. It is not a forensic determination of intention, liability, wrongdoing, or the truth of every contested allegation. Its critical force depends on the same evidentiary discipline it demands from the actors examined.

Table 1 summarises selected milestones showing the incremental development of post-publication scrutiny from dispersed commentary towards formal organisations, funded programmes, recognition systems, and scholarly-data infrastructure. Inclusion records the documented event; it does not imply central control or coordinated purpose.

The chronology suggests three overlapping phases: an informal commentary phase; an organisational phase involving nonprofit structures, grants, platforms, and databases; and an infrastructural-professional phase involving service agreements, paid roles, institution-facing tools, conferences, awards, and journalism fellowships. The phases are descriptive and do not imply that later organisations acquired formal authority to adjudicate science.

These phases are heuristic rather than sharply bounded. Later organisational and infrastructural developments did not replace personal blogs, volunteer activity, anonymous commentary, or independent investigation. Such contributions remain important sources of concern identification and specialist scrutiny. At the same time, formal organisations increasingly provide resources, employment, data preservation, legal and administrative capacity, and channels through which independently generated concerns can acquire wider institutional reach. Within the selected sample, 2023–2026 marks an infrastructural inflection: database acquisition and public distribution, funded forensic programmes, paid positions, platform-development awards, and new award and fellowship initiatives increased organisational capacity and downstream reach [10–11,14,17,23–24].

The progression in Table 1 is not inherently legitimate or harmful. Funding can support continuity, technical capacity, evidence preservation, and legal resilience while also creating disclosure, selection, performance, and independence obligations. The Medical Evidence Project, for example, was announced with funding for a director, part-time analysts, and editorial support, while the Crossref agreement provides continuing payments for maintenance of the Retraction Watch Database [10–11,17,21]. These arrangements expand organisational capacity. They also make project selection, output metrics, editorial separation, contract terms, and correction performance legitimate subjects of external audit.

Institutionalisation nevertheless changes the nature of the governance problem. An occasional personal blog principally exercises authority through its own publications and audience. By contrast, a nonprofit organisation or platform connected to grants, service-fee arrangements, institutional dashboards, paid programmes, data infrastructure, professional appointments, or formal awards may influence a broader range of editorial, institutional, and reputational processes. Its responsibilities therefore extend beyond the accuracy of a single article or comment.

The transition from commentary to infrastructure is particularly significant. Once a public concern, retraction record, or platform signal enters a database, application programming interface, institutional dashboard, publisher workflow, or other downstream system, its visibility and practical consequences may extend beyond the original context. Crossref explicitly described the Retraction Watch agreement as a means of creating a large open resource for downstream services and the research community, while maintaining separation between the database arrangement and Retraction Watch's journalistic work. Infrastructural reach can amplify both accurate and inaccurate information. Well-classified and current records may alert users to publication-status changes. Incomplete classifications, delayed updates, unresolved disputes, or inadequate correction propagation may affect multiple services and audiences. Governance must therefore address provenance, classification, updating, downstream redistribution, author responses, correction visibility, and appeal.

Conference participation and awards create a related form of soft governance. They select speakers, judges, recipients, methods, and topics, thereby distributing visibility, money, and professional authority. This is an agenda-setting effect, not evidence of improper control. It nevertheless requires disclosure of organisers, selection criteria, judging roles, financial support, travel and accommodation, recusals, and relevant professional overlaps.

The historical analysis therefore supports the article's central proportionality argument: governance obligations should increase with organisational scale, financial support, moderation authority, data centrality, institutional integration, and potential reputational effect. A transition from informal commentary towards durable organisations and infrastructure should be accompanied by a corresponding transition from reliance on personal trust towards documented procedures, transparent conflicts management, visible correction, meaningful rights of reply, and independent audit.

Post-publication scrutiny spans article-linked platforms, journalism, personal and pseudonymous blogs, lists, collaborative projects, nonprofits, governmental oversight, and scholarly infrastructure. Table 2 compares governance-relevant characteristics rather than treating stated missions as evidence of authority: operator identity, funding, accountability signals, technical affordances, persistence, and institutional reach. These actors are not epistemically or institutionally equivalent. Their accountability burden should increase with audience persistence, financial support, moderation discretion, technical integration, and the capacity to affect identifiable researchers.

The principal organisational, governance, funding, and technical characteristics of the selected actors are compared in Table 2.

Table 2 reveals a gradient from individually authored or pseudonymous commentary to collaborative lists, funded projects, major platforms, nonprofit organisations, governmental offices, and shared infrastructure. The categories are not a ranking of merit. They show that persistence, moderation authority, paid capacity, organisational continuity, and technical integration vary substantially even when actors use the common language of research integrity. The decisive distinction is between claimed mission and exercisable power. A personal publication may shape reputation through audience and searchability; a platform can attach durable commentary to article records; a nonprofit can combine fundraising, employment, journalism, programmes, awards, and database work; and an infrastructure provider can redistribute a status signal at scale. None obtains regulatory authority merely through growth, but each acquires a stronger burden to make responsibility, interests, evidence, correction, and review visible.

Technical affordances are governance choices. Searchability, anonymity, article linkage, notifications, persistent archives, dashboards, APIs, and data reuse determine how far a claim travels, how long it remains salient, and whether institutions encounter it outside its original context. These functions can make useful warnings easier to find, but they can also preserve error and detach preliminary commentary from its evidentiary status. Organisational breadth produces a parallel form of power. The capacity to fund projects, commission reporting, employ specialists, select speakers, distribute awards, curate databases, and form institutional partnerships can convert visibility into durable authority. That authority must be justified through auditable procedures rather than inferred from reputation, mission, or repeated citation.

The accountability burden should rise with the persistence and scale of the audience, identifiability of criticised people, financial resources, paid staff and programmes, moderation discretion, access to confidential material, integration with journals or institutions, and capacity to affect investigations or formal decisions. At every level, the relevant question is whether correction, response, conflict management, and appeal are commensurate with foreseeable consequences. This proportional principle rejects both blanket dismissal of informal criticism and automatic legitimacy for professionalised actors. A small site is not disqualified merely because it lacks a board; a funded platform is not validated merely because it has one. Governance must be evaluated by the authority actually exercised and the safeguards actually available.

A blog post, PubPeer comment, journalistic report, database entry, collaborative analysis, journal notice, governmental finding, and institutional investigation occupy different evidentiary and procedural positions. Movement between systems can enlarge practical influence without increasing epistemic certainty. A moderated comment remains a moderated comment when displayed in a dashboard; a repeated allegation remains derivative unless it has been independently tested. Readers must therefore be able to identify who produced a claim or who verified that person confidentially, what evidence supports it, what moderation or independent assessment occurred, whether the affected author responded, what formal outcome followed, and which material relationships bear on interpretation. When those questions cannot be answered, institutional users should not treat persistence, repetition, or technical integration as a substitute for proof.

The relationships identified here are organisational, financial, professional, dissemination-based, and infrastructural. They arise through project ownership, boards, grants, donations, service agreements, awards, conferences, recurring contributors, public links, and data integration. Many are ordinary in a small specialist field. Their cumulative significance is that criticism, money, professional recognition, moderation, data, and institutional attention can circulate through overlapping actors while responsibility remains divided among them. A connection proves only the relationship its source records. It does not prove control, collusion, bias, or influence over a specific outcome. Yet it is equally mistaken to treat each connection as irrelevant merely because none proves a conspiracy. Governance analysis concerns the combined capacity created by documented relationships and whether disclosure and independent review match that capacity.

Table 3 identifies CSI as an organisational hub because reporting, database stewardship, fellowships, forensic programmes, awards, and related initiatives are housed in or administered through the same legal organisation [7–9,17,21,23–24,43–44]. This does not establish control over independent critics, publishers, or institutions. It establishes functional concentration, which makes project-level responsibility, cross-role conflicts, recusals, performance reporting, and independent review legitimate requirements rather than optional gestures. The governance significance lies in functional concentration. When publication, fundraising, programme administration, data stewardship, professional recognition, and external partnerships coexist within one organisation, readers require clear responsibility lines, project-level conflicts, recusal rules, and independent review of contested decisions.

IRIC exercises soft governance by selecting organisers, chairs, speakers, subjects, and forms of recognised expertise. Its 2025 materials identify Simon Gandevia, David Vaux, and Jennifer Byrne as organisers and document roles for James Heathers, Ivan Oransky, Elisabeth Bik, David Vaux, Jennifer Byrne, Ginny Barbour, and others [15–16,22]. The overlap between conference participation and nonprofit boards, funded projects, public commentary, and organisational leadership may reflect expertise and the limited size of the field. It also concentrates agenda-setting opportunity. Programmes should therefore cross-disclose relevant board roles, grants, consultancy, donor relationships, platform affiliations, award functions, and material travel or speaking support, so an audience can see how professional authority is assembled.

The Einstein Foundation identified Elisabeth Bik and PubPeer as 2024 recipients and states that each received €200,000, with PubPeer's award supporting platform development [13–14]. The Foundation publishes its jury, general criteria, and a process involving panel shortlisting and Executive Board review, while stating that decisions are final and not appealable [45–46]. The public pages reviewed do not provide candidate-specific evaluation reports, scoring records, or case-specific conflict declarations. That absence does not prove favouritism. It means that a substantial financial and reputational decision cannot be reconstructed independently from the public record, even though the award can expand the recipient's authority, visibility, donor attractiveness, and future organisational capacity. CSI later announced that proceeds from Bik's award established the Elisabeth Bik Science Integrity Fund [9]. PubPeer's award likewise supplied development capital. These sequences show a reinforcement mechanism in which visibility can generate recognition, recognition can generate money, and money can enlarge the capacity to produce or distribute further integrity signals. The mechanism may support valuable work, but it cannot be governed adequately through prestige alone; award conflicts, recusals, use of funds, and recipient involvement in later selections require visible rules.

Crossref's 2023 acquisition and public distribution of the Retraction Watch Database moved a privately curated integrity resource into shared scholarly infrastructure [10–11]. The signed arrangement disclosed an initial US$175,000 payment and annual payments beginning at US$120,000, increasing by 5% each year during an initial five-year term; Retraction Watch continues to populate the data. CSI describes related service-fee support [9–11]. Crossref is a member-governed 501(c)(6) organisation whose board sets strategic direction and includes representatives of several major publishers [47]. Publisher representation is a feature of its governance model and does not prove influence over this agreement. It does make decision records, conflicts, and recusals relevant when infrastructure incorporates integrity information about publisher members. The agreement converts watchdog-curated information into reusable third-party metadata. That can improve discovery of corrections and retractions, but it can also give a privately classified record an official appearance and reproduce errors or unresolved classifications across many services. Provenance, source separation, classification rules, update frequency, client access, dispute resolution, and correction propagation must therefore be auditable.

Open Philanthropy, WoodNext, George Tidmarsh, and other donors occupy resource-allocation positions within the mapped ecosystem. Their documented support does not establish control over recipients. It does determine which projects can employ staff, maintain services, generate repeated outputs, and acquire institutional visibility [7–9,17,21]. Funding shapes salience even when it is entirely consistent with a donor's stated mission. Project-level disclosure should therefore identify the donor, amount or informative band, duration, purpose, reporting and output expectations, role in project design, decision rights, renewal conditions, and safeguards for publication or analytical independence. Broad acknowledgement alone may be insufficient where a funded activity can affect public controversy, clinical evidence, or institutional decisions.

Recurring contributors, cross-posting, curated links, and referrals create dissemination edges among outlets that may remain legally and editorially distinct [20,29–30,39,41,48]. Those edges can increase discoverability and repetition without proving coordination. The appropriate rule is source independence: later coverage should identify the originating source, describe what was independently checked, disclose material contributor overlap, and distinguish public allegation from journal or institutional adjudication. PubPeer's anonymity model makes actor independence especially difficult to test because the platform says that it cannot identify anonymous commenters and readers cannot assess their motives or conflicts [6]. Protection from retaliation can justify public anonymity, but it cannot justify institutional opacity. If apparently separate comments may influence alerts, dashboards, journalism, or investigations, the platform should be capable of confidentially detecting duplicate identities and material conflicts, auditing moderator decisions, and supplying an independent appeal. Without those safeguards, multiple opaque signals must not be presented as multiple independent sources.

The principal organisational, financial, professional, conference, recognition, infrastructure, and cross-publication relationships identified in the analysis are visualised in Figure 1. The map provides a consolidated representation of how resources, data, roles, visibility, and professional recognition circulate across the selected ecosystem. Each connection denotes only the specific publicly documented relationship indicated in the figure legend. Neither the presence of an edge nor the position of a node should be interpreted as evidence of control, coordinated intent, misconduct, or influence over a particular criticism, moderation decision, or institutional outcome.

The relationships visualised in Figure 1 are set out in source-controlled form in Table 3. The table distinguishes the publicly documented connection from its analytical significance. Organisational affiliation, funding, conference participation, awards, contributor relationships, and public linking may create legitimate governance questions, but none of these connections independently proves control, coordination, bias, misconduct, or influence over a particular editorial or institutional outcome.

The table preserves the principal relationship set identified in the source material while separating factual documentation from interpretation. CSI emerges as a significant organisational hub, while Crossref, philanthropic donors, IRIC, the Einstein Foundation Award, and independent blogs occupy distinct infrastructure, funding, recognition, conference, and dissemination positions.

Across the ecosystem, actors may identify concerns, moderate publication, fund projects, report cases, select speakers or award recipients, distribute data, or advise institutions. The record does not establish that one actor performs every function in a single case. The governance problem is cumulative role overlap and the possibility that no one assumes responsibility for the effects produced across the full pathway. A consequential case should therefore be tested for source independence, actor independence, and adjudicative independence. Did later publications independently examine the evidence? Were recurring contributors and material relationships disclosed or confidentially verified? Was the formal outcome reached by an authorised journal or institution applying its own procedure? Until all three questions are answered, connected repetition should not be counted as corroboration. Recusal is appropriate when a decision concerns a collaborator, donor, employer, project partner, recurring contributor, professional competitor, consultancy client, or other materially connected party. Where full functional separation is impracticable, visible role differentiation and external review are minimum safeguards. A field cannot credibly demand disclosure from researchers while treating its own overlapping roles as too ordinary to disclose.

The documented relationships permit a limited conceptual analysis of incentives, but they do not establish private motives or actual utility calculations. The models below are heuristic questions about how attention, funding, institutional delay, professional opportunity, legal exposure, and correction costs may interact. They should not be read as evidence that any identified actor behaved strategically or improperly. Relevant actors include websites and bloggers, nonprofit organisations, analysts and consultants, funders, publishers, universities, conference organisers, infrastructure providers, and affected researchers. Their interests may align in some situations and conflict in others. The purpose of the models is to identify governance pressure points, not to assign motive. Because the models are not empirically estimated, only propositions directly supported by public documents are treated as findings. The models are retained in shortened form to organise future research and policy testing.

Research-integrity activity may combine stated public-interest aims with organisational continuity, funding needs, audience attention, professional recognition, and legal risk. Coexistence of these interests is not evidence of bad faith. It creates a need to disclose secondary interests and to measure accuracy, correction, reversals, and procedural fairness rather than activity or visibility alone.

Organisations may respond to proxy measures such as traffic, comment volume, database growth, dashboard uptake, grants, awards, invitations, corrections, or retractions associated with their activity. These measures may reward attention rather than accuracy. Impact reporting should therefore distinguish concerns raised, independently substantiated, rejected, corrected, narrowed, reversed, or unresolved. CSI's disclosures concerning grants, service fees, programmes, awards, paid placements, and honoraria show that research-integrity activity can generate continuing organisational outputs and professional roles [8–9,11,17,23–24]. This does not make the work valid or invalid. It makes transparent performance criteria necessary.

A PubPeer comment, blog post, Retraction Watch report, database record, or conference presentation is a public signal, not a finding. PubPeer's published rules call for facts, logic, and publicly verifiable information and prohibit direct allegations of misconduct [6]. Acceptance by a moderator, however, is not independent scientific adjudication, and institutional uptake cannot retroactively make it one.

A central strategic interaction occurs between a watchdog and the journal, publisher, university, or research institution responsible for responding to a concern. The principal strategic options and their possible consequences are summarised in Table 4.

Private notification followed by prompt, documented assessment may reduce unnecessary reputational spillover. It is not always feasible or trusted. Public-first strategies may become more likely where journals or institutions are perceived as slow or opaque. Table 4 therefore presents possibilities rather than a preferred universal sequence.

Where journals or institutions are perceived as slow, defensive, inconsistent, or unresponsive, public-first strategies become more attractive to watchdogs. Nick Brown has publicly described a preference for blogging about apparent problems after concluding that private routes did not always produce effective action [33]. PubPeer is structurally designed for public article-linked commenting and author notification [5–6], while Retraction Watch may subsequently disseminate selected cases to a wider audience [38]. The bottom-right cell of Table 4 should not be presented as a proven universal equilibrium. It is a plausible repeated-game outcome where mutual trust is low. Institutions may delay because immediate acknowledgement carries legal, staffing, financial, and reputational consequences. Watchdogs may publish because institutional delay reduces confidence in confidential mechanisms. Individually rational strategies may therefore produce a collectively damaging cycle of escalation.

The costs of delay are distributed unevenly. For institutions, additional time may permit retrieval of records, legal consultation, communication with authors, and evaluation of evidence. For the criticised researcher, however, delay may prolong reputational uncertainty. For the watchdog, institutional silence may create suspicion that the concern is being ignored. For readers and the wider public, delay may mean continued reliance on disputed findings. A stronger governance system should therefore establish acknowledgement deadlines, indicative investigation timelines, confidential evidence channels, interim status notices, safeguards against retaliation, and procedures for publishing final outcomes where legally and ethically permissible. It should also require prompt and visible correction of inaccurate public claims. These mechanisms would reduce the incentive for premature public escalation without suppressing legitimate whistleblowing.

Funding creates a second strategic relationship. Donors provide capacity, while watchdog organisations provide investigations, projects, databases, public communication, or measurable outputs. The potential strategic combinations are summarised in Table 5.

CSI publicly identifies broad funding relationships and several funded projects, but the reviewed materials provide less information about detailed donor conditions, project-selection authority, performance metrics, publication independence, or decision rights [8–9,17]. The absence of detailed public conditions does not establish donor control or a concealed agenda. It means that external observers cannot fully assess how projects are selected, how performance is evaluated, or whether funders retain formal or informal influence. The most defensible inference is that funding shapes salience. Projects that receive resources can employ staff, maintain databases, organise programmes, participate in conferences, and generate sustained outputs. Projects without support may remain voluntary, intermittent, or less visible.

PubPeer can be understood as a two-sided platform. Commenters receive article-linked visibility, persistence, notifications, and possible anonymity, while authors, readers, editors, universities, publishers, and dashboard users receive searchable signals attached to publications. Growth on either side can reinforce the other, expanding reach without establishing the quality of any individual comment. The platform publishes evidentiary and tone rules and a response mechanism [6], but its public pages provide less systematic information about aggregate moderation, moderator expertise, independent appeal, institutional access terms, or confidential conflict checks. Those omissions become more consequential when comments move through dashboards or alerts [5,12]. A preliminary concern should remain visibly provisional wherever it travels, with author responses and later journal or institutional outcomes attached to the same record.

Philanthropic funders face a portfolio-allocation problem when deciding which research-integrity initiatives offer the greatest expected benefit relative to cost. Potential investment targets include databases, post-publication platforms, forensic-metascience projects, investigative journalism, training programmes, paid sleuthing positions, integrity-screening software, conferences, awards, and governance reform. Funders may favour initiatives that promise scale, measurable outputs, technical reuse, institutional adoption, public visibility, or policy relevance. Such selection may marginalise slower and less visible work, including confidential clarification, author assistance, institutional capacity building, or correction of unjustified allegations. A funding evaluation should therefore include accuracy, substantiation, correction, false-positive indicators, procedural fairness, downstream harm, geographical balance, and independence. The number of concerns generated or publicised is not a sufficient performance measure. The likely trajectory is continued coexistence of volunteer commentary, professional services, nonprofit programmes, data systems, conferences, awards, and philanthropic funding. Crossref distribution of Retraction Watch data, PubPeer dashboards, and CSI programmes already document parts of that professionalisation [5,10–12,17,23–24]. The principal risk is gradual alignment among attention, funding, professional opportunity, platform reach, and institutional dependence. That alignment need not be coordinated to influence which concerns become visible, which methods receive resources, and which actors are treated as authoritative. It should be tested empirically rather than denied merely because no conspiracy has been proved.

The models direct attention to measurable outcomes: accuracy, substantiation, correction, response, reversal, non-substantiation, procedural fairness, and downstream updating. Traffic, output volume, grants, awards, or institutional uptake cannot serve as proxies for quality. Provenance, status labels, conflict disclosure, correction propagation, and independent review become indispensable when preliminary signals enter databases, dashboards, or formal processes.

The ecosystem distributes public benefits and private or institutional advantages simultaneously. Readers may gain earlier warning of possible problems; organisations may gain grants, service income, staff, data centrality, and legitimacy; individuals may gain consultancy, project roles, awards, speaking invitations, audience support, and professional authority; publishers and institutions may gain external detection capacity; and infrastructure providers may gain relevance through reusable integrity data. Table 6 consolidates the documented mechanisms and governance implications.

A benefit to the scholarly record does not make secondary interests irrelevant. Nor does compensation, recognition, or organisational growth prove that a criticism was motivated by reward. The analytically defensible question is whether benefits depend on case visibility, allegation volume, platform growth, or institutional uptake, and whether comparable incentives exist for correction, restraint, confidential resolution, or publication of exonerating outcomes.

Paid integrity work can preserve expertise, reduce precarity, and support sustained analysis. It can also convert informal influence into a career structure whose selection criteria, output expectations, conflicts, and performance measures are not visible to those affected. The issue is not whether critics may be paid. It is whether compensation and authority are governed by standards at least as demanding as those imposed on the researchers being scrutinised. A pronounced asymmetry arises when platforms or commentators can generate persistent reputational signals while the affected researcher bears the burden of disproving an allegation, locating every repetition, and securing corrections across multiple outlets. Funding and technical integration can enlarge this asymmetry unless response rights, status updates, and correction propagation grow at the same rate as dissemination.

Table 6 identifies the principal beneficiary groups, mechanisms of benefit, public evidence, and corresponding governance obligations.

The evidence does not establish that grants, donations, awards, conference roles, service agreements, or professional opportunities necessarily compromise the associated work, and it does not establish a covert coordinated organisation. It does establish that research-integrity activity can generate money, employment, organisational growth, data centrality, prestige, agenda-setting opportunity, and policy relevance. Those effects create actual, potential, or perceived conflicts that cannot be answered by insisting on public-interest purpose. The proper response is neither automatic endorsement nor blanket dismissal, but disclosure and independent accountability proportionate to the resources, authority, and consequences involved. Future research should examine who controls aggregation, classification, dashboards, pricing, access, and correction as integrity signals become more machine-readable and institutionally embedded.

Post-publication actors routinely demand disclosure from authors, journals, publishers, and institutions. The same principle must apply to those who select cases, frame allegations, moderate visibility, fund programmes, distribute awards, operate dashboards, or supply integrity data. A public-interest mission is not a conflict-management system. A conflict exists where a financial, organisational, professional, relational, reputational, or access-related interest could reasonably influence—or appear to influence—case selection, interpretation, moderation, amplification, funding, recognition, or institutional use. Identification of a conflict is not a finding of corruption. It is a requirement to disclose, recuse, or obtain independent review before trust is demanded.

Relevant financial interests include grants, donations, salaries, residencies, consultancy, speaking support, fellowships, awards, audience payments, service fees, and travel or hospitality. Organisational interests include grant renewal, platform growth, database expansion, programme survival, institutional clients, and demonstrable impact. Professional and relational interests include employment, project leadership, recurring contribution, boards, collaborations, conference roles, award judging, donor relationships, and competition. Access-related interests arise from control of moderation systems, dashboards, APIs, confidential submissions, private correspondence, or unpublished evidence. None of these interests automatically invalidates a decision. Their cumulative relevance depends on proximity to the case and the authority exercised. The critical test is whether a reasonable reader can identify the relationship, determine the role in which a person acted, and verify that any necessary recusal or independent assessment occurred.

Disclosure permits interpretation; it does not cure a conflict where the same person remains responsible for a consequential decision involving a collaborator, donor, employer, client, project partner, recurring contributor, or professional competitor. In such cases, responsibility should pass to an independent decision-maker and the recusal should be recorded. The absence of proved bias is not a reason to omit a safeguard designed to prevent or expose bias. This standard avoids opposite errors. It does not treat every professional connection as corruption, and it does not allow a reputation for integrity to substitute for conflict management. Expertise can explain repeated appointments; it cannot make repeated appointments exempt from cross-disclosure.

Enhanced transparency is triggered when an actor receives substantial integrity-related funding, employs staff, moderates at scale, allocates awards or paid roles, handles confidential evidence, supplies institution-facing tools, or repeatedly sets conference and programme agendas. At that point, disclosure should cover amounts or informative bands, conditions, duration, decision rights, governance, moderation responsibility, client access, cross-affiliations, recusals, and independent appeals. The threshold follows power rather than organisational label. A nonprofit may be less transparent than a personal publication in one domain and more transparent in another. What matters is whether the public record makes the relevant decision pathway auditable before an adverse signal is treated as authoritative.

Table 7 converts this principle into minimum and enhanced indicators. It distinguishes the lower administrative burden appropriate to a small actor from the stronger obligations created by funding, moderation, data integration, and institutional reach.

The framework is proportional rather than a universal legal code. A personal publication may meet the minimum through accountable authorship or hosting, precise sourcing, correction, disclosure of material interests, and a meaningful reply. A major platform or funded organisation should satisfy the enhanced standards because its decisions are more persistent, scalable, and consequential.

CSI and Retraction Watch publish leadership, board, donor, revenue-category, project, and tax information [7–9]. That comparative visibility is not proof of completeness or effectiveness. Organisational diversification creates additional unanswered questions about donor conditions, cross-project conflicts, database challenges, correction and appeal performance, institutional access, recusals, and separation among journalism, fundraising, awards, data services, and funded investigations. PubPeer publishes commenting rules, evidentiary expectations, anonymity arrangements, moderation statements, author notification, and a right of reply [5–6]. Those are self-described procedures, not evidence of consistent application. Its institutional significance now warrants public reporting on governance, moderator appointment and expertise, whitelisting and greylisting, aggregate outcomes, appeals, dashboard terms, confidential identity and conflict checks, and the treatment of exonerating outcomes. Smaller personal, pseudonymous, collaborative, and audience-supported sites vary widely. Their reporting burden can be lighter, but basic obligations remain where identifiable researchers are criticised: traceable evidence, clear separation of inference from fact, a response route, visible correction, disclosure of material relationships, and updating after formal outcomes. Where public anonymity is necessary, the accountable host must bear greater evidentiary and corrective responsibility. Counter-scrutiny sites are not exempt. ScienceGuardians publicly claims verification, offline identity storage, neutrality, and donor-supported independence, while the reviewed materials do not name its operational team or donors or independently verify those claims [42]. Claims of verification and independence must themselves be verifiable. Publisher integrity teams also exercise consequential authority; official disclosure varies, and publishers should identify remit, qualifications, allocation, decision power, conflicts, use of external critics, recusal, and appeal [49–53].

Moderation determines what becomes visible, which evidence is accepted, how claims are framed, and whether responses receive comparable treatment. Major platforms should publish aggregate submission, acceptance, rejection, editing, removal, response, complaint, appeal, reversal, and correction data, with categories that distinguish evidentiary failure from tone, privacy, duplication, or legal risk. Protected identities and evidence need not be exposed for the exercise of moderation power to become empirically assessable. Organisations accepting non-public material should publish lawful-acquisition, authentication, access, retention, redaction, confidentiality, source-protection, deletion, and response policies. Possession of confidential evidence expands responsibility; it does not establish the truth of the allegation. Correction must have equivalent discoverability. A material amendment, rejection, non-substantiation, or formal resolution should be linked to the original record, displayed prominently, reflected in search and dashboard outputs, propagated downstream, date-stamped, explained, and retained in a version history. A technical reply hidden beneath a durable allegation is not procedural equality.

Major actors should publish a machine-readable annual statement covering legal status; executive, board, editorial, moderation, technical, and advisory responsibility; donors, grants, service agreements, and institutional clients; cross-role interests; moderator appointment; confidential evidence; recusals; complaints; appeals; corrections; reversals; access arrangements; and limitations of impact metrics. Consolidation matters because dispersed disclosure is precisely what leaves the network hidden in plain sight. Requirements should scale from accountable sourcing, correction, reply, and material-interest disclosure for an individual actor to financial reporting, moderation statistics, client and data-access information, correction audits, recusal rules, and external appeal for major platforms, nonprofits, conferences, databases, and infrastructure providers. Institutional power, not an actor's self-description, determines the burden.

Anonymity can protect whistleblowers, junior researchers, and others who reasonably fear retaliation. Universal public identification could suppress legitimate scrutiny. It also prevents readers from examining expertise, conflicts, professional competition, repeated targeting, or participation across related outlets. The defensible solution is protected contributor anonymity combined with accountable hosting: confidential identity and conflict checks, controls against deceptive multiple identities, auditable moderation, and independent complaints and appeal.

A concern can move from a comment or specialist publication through social media, another outlet, journalism, conferences, dashboards, databases, publisher workflows, and institutional monitoring. At each transfer, the distinction between observation, moderation, verification, and adjudication can erode. Multiple appearances can look like corroboration even when they derive from the same source, evidence, or contributor. Responsible amplification requires provenance, disclosure of independent checking and contributor overlap, qualified status labels, and attachment of author responses and later outcomes. Correction must propagate along the same pathway as the allegation. Otherwise the network is optimised to disseminate suspicion but structurally incapable of repairing the harm of error. Some commentary uses personalised, sarcastic, or accusatory language. This study did not conduct a systematic site-level discourse analysis and therefore does not classify a named site by tone. A future protocol should code unsupported implications of fraud, criminality, stupidity, conspiracy, or collective wrongdoing and compare their visibility with corrections, replies, and formal outcomes.

Professionalisation can improve continuity and expertise, yet it can also make organisational success depend on visible activity. Comment volume, traffic, cases publicised, database growth, dashboard use, media attention, awards, invitations, grants, and associated retractions may reward salience rather than accuracy. Less visible outcomes—confidential clarification, withdrawal of an inaccurate concern, successful appeal, non-substantiation, or correction without controversy—must therefore be counted rather than treated as failure or silence. Funding affects which problems receive staff, infrastructure, and repeated attention even without donor control. Project-level disclosure should allow observers to distinguish public need, donor priorities, recipient expertise, institutional convenience, and measurability. No evidence reviewed establishes covert philanthropic control; the supported claim is that selective resourcing shapes salience and therefore requires transparency.

When public commentary enters databases, APIs, dashboards, publisher systems, or institutional monitoring, inaccurate metadata, outdated status, missing context, inconsistent classification, privileged access, and automated scoring can reproduce governance failure at scale. Crossref's distribution of Retraction Watch data illustrates both the utility and the risk of reusable integrity information [10–11]. A record must not acquire greater certainty merely because it appears inside trusted infrastructure.

Conferences and awards distribute expertise, money, and legitimacy. Repeated participation by organisers, judges, recipients, speakers, board members, project leaders, or platform representatives may reflect genuine expertise, but it also concentrates agenda-setting opportunity. Cross-disclosure, open criteria, case-specific conflicts, recusals, and external participation are required if recognition is to be distinguished from closed-network reinforcement. Critics and whistleblowers may face retaliation, harassment, legal threats, doxxing, financial insecurity, or burnout. Those risks justify protected reporting and anti-retaliation measures; they do not justify unsupported accusation, anonymous organisational decisions, or refusal to correct. Ethical governance must protect good-faith critics and criticised researchers through reciprocal, evidence-based safeguards.

The primary sources reviewed do not substantiate corruption, a concealed controlling organisation, coordinated political direction, or improper funder control, and those propositions are not findings. The record does substantiate funding, professionalisation, role accumulation, data integration, recurring dissemination pathways, and uneven disclosure. Those conditions are sufficient to require stronger governance without converting association into accusation.

The principal risks identified in the analysis and their proportionate safeguards are consolidated in Table 8.

Table 8 consolidates the risks and safeguards. Three immediate conclusions follow: major actors should publish annual governance and conflict information; platforms affecting identifiable people should provide notice, evidence, response, correction, and independent appeal; and infrastructure providers should preserve provenance, status, access rules, and correction propagation. Functional separation must prevent the same unchecked pathway from identifying a concern, moderating it, amplifying it, distributing it as data, and converting it into reputational enforcement.

The response to professionalised post-publication commentary is not immunity from criticism and not institutional suppression of legitimate concerns. It is functional accountability proportionate to funding, reach, moderation discretion, technical integration, and reputational consequence. Public-interest branding cannot validate a claim, just as formal institutional status cannot guarantee fairness. Critics may identify and analyse concerns; platforms may moderate publication; journals and authorised institutions should adjudicate formal outcomes; infrastructure providers may distribute accurately classified information; funders, conferences, and awards may support or recognise work; and independent bodies should review procedure. One organisation may perform several functions, but it must disclose and separate them sufficiently to prevent its own repetition from masquerading as external confirmation.

Every stage must retain its own label and evidentiary status. An observation or request for clarification is not a finding of misconduct. Moderation decides whether content satisfies a host's rules; publication does not certify scientific accuracy. Adjudication belongs to bodies with authority, relevant records, and fair procedure. Databases, dashboards, indexers, and publisher systems may distribute status information but must not convert unresolved criticism into an adverse formal classification. This separation is the core defence against networked authority. A signal may legitimately move between actors, but its provenance, uncertainty, response record, and final outcome must move with it. No downstream interface should make derivative repetition appear more independent or more conclusive than the originating evidence.

A minimum due-process architecture requires timely notice to an affected author or institution, identification of the publication and evidence, qualified language, a reasonable opportunity to retrieve records and respond, and placement of that response with comparable visibility. It also requires date-stamped correction of factual error or material overstatement and an appeal decided by someone independent of the original moderation decision. 1. The record must display final status prominently, including correction, retraction, institutional finding, exoneration, non-substantiation, or closure without a formal outcome. Anti-retaliation protection for good-faith critics must coexist with protection against duplicative, personalised, disproportionate, or evidentially purposeless commentary. 2. PubPeer states evidentiary and tone rules, restrictions on direct misconduct allegations, author notification, and a reply mechanism [6]. The proposed architecture goes further because a platform's own description cannot demonstrate consistent enforcement: independent appeal, conflict checks, moderation reporting, correction performance, and downstream status updating must be externally assessable.

Major platforms, nonprofits, funded projects, conferences, award bodies, and infrastructure providers should publish standard annual transparency statements identifying legal status; decision-makers; editorial, moderation, technical, and advisory responsibility; donors and funding bands; earmarks; service contracts; institutional clients; dashboard and API arrangements; relevant consultancy and speaking support; award roles; conflicts; recusals; complaints; appeals; corrections; reversals; confidential evidence; and material governance changes. Human- and machine-readable reporting would permit longitudinal and cross-organisational comparison and end the present dependence on reconstructing a consequential network from scattered webpages. Existing CSI disclosures on leadership, projects, donors, revenue types, and tax returns [7–9] provide part of the record but do not replace cross-project, moderation, access, correction, recusal, and performance reporting.

Moderation is an exercise of authority over visibility, evidence, framing, and reply. Major platforms should report submissions, acceptances, rejections, edits, removals, time to decision, author responses, complaints, appeals, reversals, corrections, and status updates, using categories that distinguish evidence, tone, privacy, duplication, legal risk, new information, and formal resolution. Without those data, observers cannot determine whether moderation rules are applied consistently, whether favourable access is concentrated among recurring accounts, or whether correction and appeal are meaningful. Secrecy about aggregate procedure is not required to protect individual whistleblowers.

Where private tips, unpublished records, correspondence, laboratory material, or personal data are accepted, the host should publish rules for lawful acquisition, authentication, minimisation, access, storage, redaction, retention, deletion, source protection, sharing, legal review, and response. Confidential evidence may justify confidentiality; it does not justify unreviewable organisational discretion or a presumption that an allegation is true.

Crossref distribution of Retraction Watch data and PubPeer's institution-facing interfaces show how third-party signals can enter scholarly systems [5,10–12]. Governance must disclose provenance, supplier, classification, update frequency, client eligibility, contractual and fee arrangements, privileged fields, redistribution, automated scoring, audits, and dispute mechanisms. Systems must distinguish public comment, author reply, journal response, correction, expression of concern, retraction, institutional finding, formal exoneration, and closure without substantiation. Integration may widen access; it must never elevate the signal's evidentiary status.

Disclosure is insufficient when a moderator, editor, board member, investigator, judge, or selector has a material relationship with the criticised researcher, commenter, donor, client, project partner, recurring contributor, employer, professional competitor, conference, or institution affected by the decision. The conflict should be recorded and responsibility transferred to an independent substitute. Repeated service across boards, projects, conferences, consultancy, speaking, funding, and awards may be legitimate, but the combined roles must be visible. An organisation that insists association is harmless should still be willing to disclose it; recusal is a procedural safeguard, not an accusation.

Conferences should publish organising and programme responsibilities, sponsors, selection methods, invited and competitive routes, travel or speaking support, cross-affiliations, conflicts, recusals, and material financial arrangements. Award bodies should publish nomination and eligibility rules, judges and affiliations, funding, donor involvement, scoring procedures, case-specific conflicts, recusals, value and permitted use of awards, and post-award reporting. These requirements are especially important when organisers, judges, recipients, fund administrators, project leaders, and later selectors overlap. Prestige is a form of institutional power and should be governed with the same seriousness as money or moderation.

Major actors should establish an independent ombudsperson or external-review body for moderation disputes, refusal to correct, unequal reply visibility, conflicts, confidential evidence, disproportionate targeting, access complaints, status failures, and departures from published procedure. It should not decide research misconduct; its jurisdiction is procedural fairness and organisational accountability. An annual report should state the number and type of complaints, reviews accepted, recommendations, implementation, recurring weaknesses, and unresolved matters. Independence requires that the reviewer not depend on the same managers whose decisions are under examination.

Governance obligations should be scaled according to authority and potential consequences rather than imposed identically on every actor. The proposed model is summarised in Table 9.

Table 9 scales the obligations from individual commentary to platforms, institutional services, conferences, and awards. It rejects both disproportionate bureaucracy for small actors and the claim that informal origins excuse a powerful platform from institutional accountability.

Governance quality should be assessed through measures of accuracy, fairness, responsiveness, and correction rather than activity alone. Suggested indicators are presented in Table 10.

Table 10 accordingly measures accuracy, response, timeliness, correction, appeal, due process, conflicts, evidence governance, infrastructure quality, positive impact, counter-impact, and diversity. Traffic, comment volume, retractions, awards, or media attention cannot establish success because visibility may reflect sound scrutiny, controversy, repetition, or error.

The functional relationships described in this section are illustrated in Figure 2. The figure separates concern identification, evidentiary screening, moderation, author participation, formal adjudication, downstream infrastructure updating, and correction or external review. It also places funding disclosure, conflict management, evidence protection, role transparency, correction visibility, and independent audit within a governance layer operating across the entire process.

Implementation should begin with named governance and decision responsibility, visible version histories, funding and institutional disclosure, author notice and reply, separation of concern from finding, final-status labels, moderation reporting, and confidential conflict declarations for protected anonymous contributors. Institution-facing access and API terms, conference and award cross-disclosure, and publisher integrity-team remit and appeal routes should follow. The longer-term objective is interoperable provenance and status standards, cross-platform correction propagation, external audits of moderation and data quality, independent governance benchmarks, and systematic measurement of false positives, reversals, non-substantiation, and reputational harm. A network capable of distributing allegations internationally must be equally capable of distributing corrections and accountability.

Post-publication criticism now moves through comment platforms, journalism, blogs, nonprofits, funded projects, conferences, awards, publisher teams, databases, dashboards, and infrastructure partnerships. Together these actors can affect publication records, institutional attention, professional reputation, and scholarly metadata. None acquires authority merely because it is visible, funded, awarded, cited, or technically integrated.

The mapped relationships do not prove a secret controller, conspiracy, corruption, or coordinated targeting. They reveal something more ordinary and more difficult to govern: an increasingly institutionalised field in which money, roles, recognition, moderation, data access, and agenda-setting circulate through overlapping people and organisations, while each actor can point to its formal independence from the others. The network is hidden in plain sight because its influence is integrated but its disclosures and responsibilities are fragmented.

That fragmentation matters whenever one unresolved concern appears in several connected places and begins to resemble independent consensus. Correction, retraction, or investigation following a public signal derives authority from the later journal or institutional process, not from the volume of prior repetition. Conversely, a concern that is narrowed, rejected, corrected, or left unsubstantiated must not remain permanently amplified without an equally visible status record.

The necessary reforms are concrete: source and actor independence tests; confidential identity and conflict verification where anonymity is protected; cross-role disclosure and recusal; traceable moderation; qualified status labels; meaningful notice and reply; correction propagation; auditable institutional access; and independent appeal. Those who publicly audit science should be auditable themselves. Symmetrical accountability is not hostility to criticism; it is the condition that separates credible scrutiny from unreviewable reputational power.

Edward Mason conceived the article, defined its scope and analytical framework, assembled and evaluated the publicly available source materials, developed the network and conceptual game-theory analyses, interpreted the findings, and prepared and revised the manuscript.

This work received no external grant or institutional funding.

OpenAI was used to assist with language editing. It was not used as an evidentiary source. The author independently checked the claims, citations, public webpages, tables, figures, and interpretations and accepts full responsibility for the manuscript.

The author declares no financial, professional, organisational, or personal conflict of interest relevant to the preparation of this article. The author holds no formal role in, and received no payment from, any platform, organisation, funder, conference, blog, award body, or infrastructure provider examined in the manuscript.

Edward Mason is an independent scholar working in publication ethics and research integrity. The views expressed in this article are those of the author and should not be attributed to any university, publisher, journal, research-integrity platform, funder, or professional organisation.

Formal research-ethics approval was not required because the study did not involve human participants, animals, clinical interventions, private participant data, interviews, or confidential research records. The analysis was based on publicly accessible organisational, financial, policy, conference, platform, government, database, and publication materials.

Not applicable.

Not applicable.

The article is based on publicly accessible materials cited in the reference list, including official organisational webpages, financial disclosures, nonprofit filings, grant and award announcements, platform policies, conference programmes, government materials, database documentation, and publicly available blog content. No private database of personal information was created. The historical timeline, actor classifications, relationship map, payoff matrices, transparency indicators, and governance framework were developed from the cited public sources. Supporting tables and figures may be provided as supplementary materials with the published article.

The article distinguishes documented facts supported by identifiable sources from analytical interpretations derived from publicly documented relationships and from conceptual game-theory models. Propositions that could not be substantiated through the reviewed evidence were not treated as findings. Inclusion of an individual or organisation in a table, timeline, or network figure indicates only that a publicly documented activity or relationship was identified. It does not constitute a finding of corruption, coordination, misconduct, legal liability, improper motive, or influence over a particular editorial or institutional outcome.

This article is a scholarly analysis of governance, incentives, disclosure, institutionalisation, and due process within post-publication peer review. It is not a judicial determination, institutional investigation, finding of research misconduct, allegation of criminal conduct, or legal opinion. Descriptions of grants, donations, awards, employment, service agreements, conference participation, board roles, professional relationships, platform functions, or data integrations should not be interpreted as evidence of wrongdoing. The article evaluates the governance implications of publicly documented relationships and does not assert that those relationships caused any particular criticism, moderation decision, journal action, institutional finding, or reputational consequence.