{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp04_retrieval_first_paired20_20260802","cell_id":"invariant_mode_decomposition_design__economics_finance","hypothesis_id":"H2","search_queries":["debt restructuring creditor network centrality holdout negotiation sequencing","bankruptcy creditor network eigenvector centrality restructuring","patent creditor consent graph centrality debt restructuring negotiation","stakeholder network centrality negotiation sequencing creditors restructuring","\"Private Debt Renegotiation\" lender centrality full paper","\"centrality\" \"restructuring negotiations\" creditor","financial restructuring \"eigenvector centrality\" creditors","consent network centrality target sequencing negotiation voting coalition"],"sources":[{"source_id":"S1","title":"Private Debt Renegotiation and Financial Institutions’ Network","publisher":"Université de Strasbourg, LaRGE Research Center","url":"https://ifs.u-strasbg.fr/large/publications/2020/2020-01.pdf","source_class":"PRIMARY_RESEARCH","claims_supported":["A study of more than 10,000 European loans directly applies degree, closeness, and betweenness centrality to private-debt renegotiation.","Lender centrality is associated with renegotiation likelihood, number of rounds, and number of amendments.","The analyzed network is a historical syndicated-lending network, the setting is outside distress, and the paper does not prescribe eigenvector-based sequencing of individual creditor consents."]},{"source_id":"S2","title":"The Restructuring Process","publisher":"International Monetary Fund","url":"https://www.imf.org/-/media/files/news/seminars/2018/091318sovdebt-conference/presentations/session-8/session-8-presentation-1.pdf","source_class":"OFFICIAL_GUIDANCE","claims_supported":["Creditor consultation, committees, sequencing of bilateral and commercial restructurings, and holdout management are recognized elements of restructuring practice.","Carrots and sticks for encouraging creditor participation are established tactical categories."]},{"source_id":"S3","title":"Supporting Firms in Restructuring and Recovery","publisher":"World Bank","url":"https://documents1.worldbank.org/curated/en/306401616131450724/pdf/Supporting-Firms-in-Restructuring-and-Recovery.pdf","source_class":"OFFICIAL_GUIDANCE","claims_supported":["Out-of-court workouts allow selection of creditors with whom to negotiate but remain exposed to coordination problems and creditor holdouts.","Enhanced workouts use inter-creditor accords, coordinating institutions, incentives, deadlines, and mechanisms capable of binding dissenting creditors."]},{"source_id":"S4","title":"Sovereign Debt Information","publisher":"International Capital Market Association","url":"https://www.icmagroup.org/resources-2/Sovereign-Debt-Information/","source_class":"STANDARD","claims_supported":["ICMA publishes model collective-action, pari-passu, creditor-engagement, and majority-voting provisions intended to facilitate sovereign restructurings.","These established mechanisms address minority obstruction contractually rather than by spectral ranking of outreach targets."]},{"source_id":"S5","title":"Evolution of the Global Financial Network and Contagion: A New Approach","publisher":"International Monetary Fund","url":"https://www.imf.org/-/media/files/publications/wp/2018/wp18113.pdf","source_class":"PRIMARY_RESEARCH","claims_supported":["Debt and equity exposures are represented as directed multilayer financial networks.","Eigenvector, HITS, and PageRank methods provide spectral rankings of debtors and creditors, while the authors note that edge direction affects which centrality is appropriate.","The application concerns contagion and systemic exposure rather than creditor consent or restructuring negotiation order."]},{"source_id":"S6","title":"Centrality-based Capital Allocations","publisher":"International Monetary Fund","url":"https://www.imf.org/en/publications/wp/issues/2016/12/31/centrality-based-capital-allocations-42560","source_class":"PRIMARY_RESEARCH","claims_supported":["Eigenvector-based financial-network rankings have been used to allocate interventions rather than merely describe nodes.","In the studied banking-system simulation, adjacency-eigenvector capital reallocation reduced expected bankruptcy costs by about 15% relative to baseline.","The intervention is regulatory capital allocation, not outreach, side payment, or rights acquisition in a restructuring."]}],"proximity":"ADJACENT_PRIOR_ART","closest_analogues":[{"name":"Lender-network centrality as a determinant of private-debt renegotiation","similarity":"Directly combines creditor-network centrality with debt renegotiation outcomes, including the number of renegotiation rounds.","remaining_difference":"It uses historical co-lending relationships and degree, closeness, and betweenness measures in non-distressed loans; it neither models consent-right dependencies nor prospectively chooses the next creditor action.","source_ids":["S1"]},{"name":"Established creditor sequencing and holdout-management practice","similarity":"Existing practice maps creditors, selects negotiation counterparties, sequences creditor groups, organizes committees, and uses incentives or binding voting provisions to overcome holdouts.","remaining_difference":"Prioritization is based on legal class, voting threshold, enforceability, creditor type, or bargaining considerations rather than an eigenvector or spectral-sensitivity score over creditor-right edges.","source_ids":["S2","S3","S4"]},{"name":"Spectral targeting in financial exposure networks","similarity":"Financial nodes are ranked using eigenvector-related methods, and those rankings can guide resource allocation or identify influential creditors and debtors.","remaining_difference":"The target outcome is contagion or systemic-loss reduction, not reduction of consent deadlock or negotiation rounds within one restructuring.","source_ids":["S5","S6"]}],"overlapping_components":["Creditor and claim-network representation","Network-centrality ranking of financial actors","Creditor selection and negotiation sequencing","Holdout identification and participation incentives","Intervention prioritization using eigenvector-related scores","Directed-edge treatment for debtor-creditor relationships","Outcome-based comparison of network interventions","Contractual mechanisms for binding dissenting creditors"],"remaining_contrastive_claim":"Within a single distressed restructuring, prospectively ranking creditor-right edges by spectral centrality plus consent sensitivity to select the next outreach, side payment, or rights purchase will identify binding holdouts and reduce consent rounds better than claim-size or legal-priority sequencing.","claim_falsifier":"The claim would be falsified by a pre-existing adviser workflow, product, patent, or empirical study that already models restructuring-specific consent dependencies as a graph and operationally selects the next creditor action using eigenvector or related spectral sensitivity, or by case-level validation showing that the proposed ranking does not outperform claim size or legal voting power and does not reduce simulated rounds by at least 15%.","problem_support":"STRONG","recommendation":"RESEARCH","world_novelty_boundary":"Across eight ordinary-web queries and six opened direct sources spanning research, official guidance, standards, and professional mechanisms, close components were found separately and lender centrality has already been studied in debt renegotiation, but no source demonstrated the exact restructuring-specific spectral sequencing rule; this is a bounded search finding, not a patent clearance or proof of worldwide novelty."}