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  "slug": "binary-quadratic-informational-substitutes",
  "title": "Four tests for binary informational substitutes",
  "shortTitle": "Four tests for information substitutes",
  "url": "https://evidencepress.org/releases/binary-quadratic-informational-substitutes/",
  "oneLine": "For two yes-or-no signals, four exact inequalities decide whether every partial disclosure preserves a specified diminishing-returns property.",
  "abstract": "A candidate classification gives four necessary-and-sufficient weighted-square inequalities for a binary event and two binary signals under a quadratic score, using Chen–Waggoner March 2017 Definition 2.2.3. A conditional-variance identity and concavity reduce arbitrary measurable disclosures to two endpoints in each orientation, including zero-probability cells. Rational failures have explicit two-report witnesses. The package also gives an oriented finite-signal extension, strong-complements tests, and a reviewer-derived strict separation from projective substitutes.",
  "datePublished": "2026-10-08",
  "dateModified": "2026-10-08",
  "version": "1.1.0-candidate",
  "doi": "10.5281/zenodo.23238557",
  "doiUrl": "https://doi.org/10.5281/zenodo.23238557",
  "conceptDoi": "10.5281/zenodo.23238556",
  "pdfUrl": "https://github.com/ipitchford/binary-quadratic-informational-substitutes/releases/download/v1.1.0-candidate/binary-quadratic-informational-substitutes-v1.1.0-candidate.pdf",
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  "repoUrl": "https://github.com/ipitchford/binary-quadratic-informational-substitutes",
  "releaseUrl": "https://github.com/ipitchford/binary-quadratic-informational-substitutes/releases/tag/v1.1.0-candidate",
  "markdownUrl": "https://evidencepress.org/releases/binary-quadratic-informational-substitutes/index.md",
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      "name": "Audio briefing",
      "description": "Synthetic speech; communication, not additional mathematical evidence.",
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  "authors": [
    "Anonymous"
  ],
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    "independentlyReproduced": false,
    "formallyVerified": false,
    "internallyReplayed": true,
    "detail": "Unrefereed candidate with a written universal proof and internally replayed exact finite checks. No external peer review, independent reproduction, formal verification or historical-priority proof is claimed. The supplied review recommended minor revisions; reviewer identity and external independence are not established."
  },
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      "label": "Availability and archiving",
      "question": "Is the evidence package publicly retrievable from an archive under a persistent identifier?",
      "state": "passed",
      "evidenceUrl": "https://zenodo.org/records/23238557",
      "note": "Public GitHub/Zenodo assets verified against the frozen archive, including full downloads. Availability is not proof or peer review."
    },
    {
      "dimension": "internalReplay",
      "label": "Internal replay",
      "question": "Does the producer’s own pipeline reproduce the stated result from the archived package?",
      "state": "passed",
      "note": "Exact internal normal/optimized replay and finite semantic controls; not the universal proof or external reproduction.",
      "evidenceUrl": "https://github.com/ipitchford/binary-quadratic-informational-substitutes/blob/v1.1.0-candidate/VERIFICATION.md"
    },
    {
      "dimension": "independentRerun",
      "label": "Independent rerun",
      "question": "Has someone else run the supplied implementation and obtained the stated result?",
      "state": "not-assessed",
      "note": "No qualifying evidence establishing this dimension."
    },
    {
      "dimension": "independentReimplementation",
      "label": "Independent reimplementation",
      "question": "Has someone else reached the result from an independent implementation?",
      "state": "not-assessed",
      "note": "No qualifying evidence establishing this dimension."
    },
    {
      "dimension": "formalVerification",
      "label": "Formal verification",
      "question": "Is a formalised statement machine-checked, and over which trusted base?",
      "state": "not-assessed",
      "note": "No qualifying evidence establishing this dimension."
    },
    {
      "dimension": "specialistReview",
      "label": "Specialist review",
      "question": "Has a domain specialist assessed the argument?",
      "state": "not-assessed",
      "note": "No qualifying evidence establishing this dimension."
    },
    {
      "dimension": "editorialPeerReview",
      "label": "Editorial peer review",
      "question": "Has a journal or venue run peer review to a decision?",
      "state": "not-assessed",
      "note": "No qualifying evidence establishing this dimension."
    },
    {
      "dimension": "dataEnvironmentReproducibility",
      "label": "Data and environment reproducibility",
      "question": "Are data and computational environment pinned well enough to rebuild?",
      "state": "partial",
      "evidenceUrl": "https://github.com/ipitchford/binary-quadratic-informational-substitutes/blob/v1.1.0-candidate/ENVIRONMENT.txt",
      "note": "Standard-library rational checks, complete input records and fresh extraction; no unaffiliated rerun established."
    }
  ],
  "provenance": {
    "aiGenerated": true,
    "aiAssisted": true,
    "generatedBy": [
      "AI-assisted supplied research; originating model identity not established",
      "OpenAI Codex assistant: review actions, internal checks and publication"
    ],
    "humanRole": "Publication authority only; no human research contribution asserted.",
    "reviewStatus": "Unrefereed candidate with a written universal proof and internally replayed exact finite checks. No external peer review, independent reproduction, formal verification or historical-priority proof is claimed."
  },
  "attributionBoundary": null,
  "problem": {
    "name": "Binary fixed-quadratic informational substitutes",
    "url": "https://arxiv.org/abs/1703.08636"
  },
  "orderedProductAverage": null,
  "corrections": [],
  "publicCorrections": [],
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  "pageStructureWaivers": [],
  "recordMaturity": "current",
  "metadataProvenance": "Supplied mathematical package and review; publication revisions and internal replay on 8 October 2026. Earlier discovery effort and reviewer identity are not reconstructed.",
  "grandfatheredAtSchemaVersion": null,
  "keywords": [
    "informational substitutes",
    "quadratic scoring",
    "Bayesian disclosure",
    "concavity",
    "exact rational witnesses"
  ],
  "keyResults": [
    "Four weighted-square inequalities are necessary and sufficient for Chen–Waggoner strong substitutes for binary E, A and B under the fixed quadratic score, including zero-support cases.",
    "A failed rational-input inequality yields an explicit rational two-report disclosure and a directly checked negative score gap.",
    "The conditional-variance argument extends in one direction to a binary source and finite second signal, including square-integrable targets.",
    "Reviewer-derived Proposition 4 proves strong substitutes imply projective substitutes in this model, strictly; Appendix A gives endpoint/vertex tests for strong complements."
  ],
  "reviews": [],
  "evidencePackage": "Written proof and precise source comparison; exact rational classifier and failure witnesses; finite algebraic, support and direct-score checks; separately implemented checker; optimized replay and semantic negative controls; review response, AI index and manifest.",
  "openProblems": [
    "An unaffiliated replay and specialist assessment would strengthen assurance.",
    "A full two-sided classification with nonbinary signals is not established.",
    "Other scoring rules and empirically estimated probability tables require separate work."
  ],
  "mathObjects": [],
  "relatedWorks": [
    {
      "citation": "Chen and Waggoner (2017), Informational Substitutes. Definition 2.2.3 supplies the precise strong-substitutes target; full continuous-lattice submodularity is different.",
      "url": "https://arxiv.org/abs/1703.08636",
      "doi": "10.48550/arXiv.1703.08636"
    },
    {
      "citation": "Kong and Schoenebeck (2018), Optimizing Bayesian Information Revelation Strategy in Prediction Markets. Finite-disclosure reduction and approximation machinery.",
      "url": "https://doi.org/10.4230/LIPIcs.ITCS.2018.14",
      "doi": "10.4230/LIPIcs.ITCS.2018.14"
    },
    {
      "citation": "Anunrojwong, Chen, Waggoner and Xu, Computing Equilibria of Prediction Markets via Persuasion. Posterior optimisation and approximation, not this exact endpoint criterion.",
      "url": "https://arxiv.org/abs/2009.03607",
      "doi": "10.48550/arXiv.2009.03607"
    },
    {
      "citation": "Börgers, Hernando-Veciana and Krähmer (2013), When are signals complements or substitutes? Characterisation across all decision problems, a different quantifier.",
      "url": "https://doi.org/10.1016/j.jet.2012.12.012",
      "doi": "10.1016/j.jet.2012.12.012"
    },
    {
      "citation": "Neyman and Roughgarden, Are You Smarter Than a Random Expert? The Robust Aggregation of Substitutable Signals. Definition 2.8 gives projective substitutes.",
      "url": "https://arxiv.org/abs/2111.03153",
      "doi": "10.48550/arXiv.2111.03153"
    },
    {
      "citation": "Frongillo, Neyman and Waggoner, Agreement Implies Accuracy for Substitutable Signals. Definition 2.6 gives rectangle substitutes.",
      "url": "https://arxiv.org/abs/2111.03278",
      "doi": "10.48550/arXiv.2111.03278"
    }
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