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US-20260127578-A1 - Trusted Monetization and Provenance Platform for AI + Blockchain Markets

US20260127578A1US 20260127578 A1US20260127578 A1US 20260127578A1US-20260127578-A1

Abstract

A platform for proof-conditioned monetization, cross-chain provenance, and defensive market orchestration that integrates canonical serialization, cryptographic attestations, composite proof verification, IPS (Interoperable Proof-of-Settlement) tokens, rotation gateways, adaptive settlement engines, micro-market orchestration, selective disclosure proofs, adversarial robustness pipelines, and developer tooling. The platform enables verifiable monetization and settlement of digital assets and interactions across heterogeneous ledgers and opaque Al pricing systems by requiring canonicalization, cryptographic binding, and tamper-evident anchoring prior to monetization or settlement.

Inventors

  • Dario Chang

Assignees

  • Dario Chang

Dates

Publication Date
20260507
Application Date
20251230

Claims (20)

  1. 1 . A computer-implemented system comprising one or more processors and non-transitory memory storing instructions that, when executed, perform proof-conditioned monetization and defensive market orchestration, the system comprising: a predictive scoring pillar configured to ingest timestamped interaction events and produce cyclical engagement vectors and time-decayed Hits History vectors; a fusion engine configured to fuse said vectors to produce an Importance Prediction Score (IPS) and to emit an IPS token; a Proof Registry configured to accept verifiable proofs and indexed proof descriptors and to compute composite_verification_records by normalizing proof confidences and applying market weight profiles; an Adaptive Settlement Engine configured to, upon satisfaction of a composite_verification_record market threshold, prepare a settlement_intent, coordinate participant acknowledgements, execute an atomic commit across one or more settlement rails, and issue a cryptographically signed settlement_finality_proof; and a Rotation Gateway configured to enforce machine-state changes for assets based on IPS thresholds and to record state changes in a tamper-evident ledger; wherein monetization or value transfer for the IPS token is permitted only upon recording the composite_verification_record and issuance of the settlement_finality_proof.
  2. 2 . The system of claim 1 , further comprising an indexed proof descriptor module that stores for each proof at least: proof type, issuer_id, issuance_time, confidence_value, jurisdiction, disclosure_descriptor, and merkle_leaf_pointer.
  3. 3 . The system of claim 1 , wherein the Proof Registry accepts proof families selected from zero-knowledge proofs, TEE attestations, MPC outputs, homomorphic attestations, oracle attestations, and regulator receipts, and exposes APIs that return verifier_receipts comprising receipt_id, proof id, verifier_id, timestamp, result, and merkle_proof.
  4. 4 . The system of claim 1 , wherein the IPS token is canonicalized by serializing fields in a fixed order and computing a provenance_digest=SHA256(canonical_bytes), and wherein the canonical field order comprises: ips_token_id, timestamp, issuer id, ips_value, viewability_score, dwell_time_ms, rotation_group, confidence_interval, freshness_score, and market_metadata.
  5. 5 . The system of claim 1 , wherein the Rotation Gateway issues a signed state envelope comprising EGID, asset_id, old_state, new_state, timestamp, nonce, state_digest, issuer_pubkey, and signature, and requires quorum acknowledgements prior to commit and cross-network propagation.
  6. 6 . The system of claim 1 , wherein the Adaptive Settlement Engine records a settlement_finality_proof containing settlement id, provenance_digest, composite_verification_score, participants, finality_signature, and timestamp, and publishes the settlement_finality_proof to the Proof Registry and to one or more ledgers.
  7. 7 . The system of claim 1 , further comprising a MicroMarket Generator configured to instantiate markets with configurable proof requirements, aggregation weight profiles, rotation policies, and settlement rules tied to composite_verification_scores and IPS freshness.
  8. 8 . The system of claim 1 , wherein selective disclosure is supported by disclosure_descriptors and the system issues selective disclosure proofs enabling auditor replay without transmitting raw personal data, and wherein consent tokens gate inclusion of sensitive biological or biometric fields in IPS fusion.
  9. 9 . The system of claim 1 , wherein consent revocation triggers reissuance of a sanitized provenance token that omits or replaces revoked fields with cryptographic commitments and publishes a signed revocation_receipt in the Proof Registry.
  10. 10 . The system of claim 1 , wherein Merkle anchoring is used to batch provenance_digests into leaves L i =SHA256(serialized_provenance_token i ), compute a Merkle root R, and publish R in a ledger transaction returning an anchoring_ref.
  11. 11 . The system of claim 1 , wherein sensitive computations execute within a Trusted Execution Environment that produces an attestation token comprising enclave_measurement, ips_token_digest, report_binding, signer pubkey, timestamp, and signature, and wherein the attestation token is recorded in the Proof Registry.
  12. 12 . The system of claim 1 , further comprising an Adversarial Robustness Pipeline that performs adversarial testing, anomaly detection, verifier reputation scoring, staking and slashing rules, and automated quarantine workflows that suspend suspect tokens pending human-in-the-loop review.
  13. 13 . The system of claim 1 , wherein the Adaptive Settlement Engine implements deterministic insurance trigger logic: if SLA_breach_receipt==true and composite_verification_score<market_threshold, then invoke arbitration_agent; and if arbitration_agent.outcome==“payout,” then release funds from an insurance_pool and record a payout_receipt in the Proof Registry.
  14. 14 . The system of claim 1 , further comprising a discovery and matching engine that ranks assets using composite_verification_scores, IPS freshness, and reputation, and exposes ranked results to marketplace orchestration modules.
  15. 15 . The system of claim 1 , wherein rotation policies include rotation_group identifiers, rotation_count, cooldown_period, and cross-network synchronization by propagating Merkle-anchored proofs to partner ledgers to prevent circumvention.
  16. 16 . The system of claim 1 , wherein the Proof Registry normalizes raw confidence values r i to c i =(r i −r_min)/(r_max−r_min), applies market weights w i summing to 1, optionally trims outliers p %, and computes composite_verification_score C=Σ i w i ·c i .
  17. 17 . The system of claim 1 , wherein the platform exposes regulator APIs that return selective disclosures, verifier_receipts, and Merkle proof paths, and logs each auditor query as a tamper-evident artifact.
  18. 18 . The system of claim 1 , further comprising developer tooling, simulation sandboxes, certification harnesses, and badge-minting modules that produce regulator-facing certification badges and replayable logs, and wherein certification badges are revocable and recorded in the Proof Registry.
  19. 19 . The system of claim 1 , wherein optional embodiments include quantum-assisted IPS fusion and neuromorphic ingestion modules, and wherein classical fallback fusion operators and parameter ranges are disclosed and used when quantum or neuromorphic resources are unavailable.
  20. 20 . A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the processors to perform the operations of any one of claims 1-19 , including minting IPS tokens, publishing proofs to the Proof Registry, invoking the Rotation Gateway, and executing settlement orchestration conditioned on composite_verification_records and settlement_finality_proofs.

Description

CROSS REFERENCE AND LINEAGE STATES “This application is a continuation-in-part of U.S. application Ser. No. 10/605,894, filed Nov. 4, 2003 (abandoned; petition to revive filed), and claims benefit under 35 U.S.C. 120 to that application. This application is also a continuation-in-part of U.S. application Ser. No. 19/331,115, filed Sep. 17, 2025, which is currently pending.” It further clarifies that the 2003 parent application introduced Cycle Hits, Hits History, rotation groups, interactive Ads, and replayable histories.The present spec maps modern modules back to those parent primitives to show lineage and maximize blocking power. FIELD OF THE INVENTION This invention relates to computer-implemented systems and methods for proof-conditioned monetization, cross-chain provenance, and defensive market orchestration in decentralized digital marketplaces. The platform is suitable for implementation in blockchain nodes, trusted execution environments (TEEs), and cloud-native microservices, and addresses scalable proof verification, selective disclosure, adversarial robustness, adaptive pricing, and dispute resolution. BACKGROUND The present invention builds on the applicant's 2003 parent application that disclosed Cycle Hits, Hits History, rotation groups, interactive advertisements, and replayable histories. These primitives provided transparent, auditable grouping and rotation logic for digital placements. Modern developments-including zero-knowledge proofs, cross-chain protocols, reinforcement-learning-based pricing, and trusted execution environments-extend these primitives into proof-conditioned monetization and cross-chain provenance. Existing marketplaces and advertising platforms lack cryptographically verifiable provenance across chains, granular selective disclosure and consent controls, adaptive proof-conditioned monetization, robust adversarial testing, and standardized developer tooling for simulation and integration. Black-box AI pricing systems further reduce auditability and regulatory compliance, as their internal logic cannot be inspected or verified. Enablement and Written Description Support This specification provides full enablement and written description support under 35 U.S.C. § 112 for all claimed embodiments, including those that integrate with opaque AI models. The disclosure includes RFC8785 canonicalization pseudocode, JSON schemas for IPS and attestation tokens, Merkle anchoring workflows, verifier receipt examples, proof circuit sketches, reinforcement-learning pricing pseudocode, test vectors, and benchmark summaries. These elements teach a person of ordinary skill in the art how to implement canonicalization, cryptographic signing, attestation verification, proof aggregation, and settlement flows without undue experimentation. The specification demonstrates possession of the invention by mapping claim elements to supporting paragraphs and to the 2003 parent primitives. Optional embodiments—including quantum-assisted fusion and neuromorphic ingestion—are described with parameter ranges and enablement examples. Even where pricing, ranking, or allocation models operate as black-box systems, the invention requires that outputs be canonicalized, cryptographically signed or attested, and anchored in the Proof Registry before monetization or settlement. SUMMARY OF THE INVENTION The invention provides a platform comprising: Cycle Hits and Hits HistoryIPS tokens and morphologyA Proof Registry and Composite Proof VerifierA Rotation GatewayAn Adaptive Settlement EngineA MicroMarket GeneratorSelective disclosure proofs and consent tokensAn Adversarial Robustness PipelineOptional quantum-assisted IPS fusion and neuromorphic ingestionSustainability optimizers and insurance poolsArbitration agents and workflowsDeveloper tooling and simulation sandboxes The platform enforces that monetization or settlement actions require verifiable proofs and anchored receipts, enabling auditability even when underlying pricing models are opaque. DETAILED DESCRIPTION Cycle Hits and Hits History The Cycle Hits module implements cyclical placement logic for digital assets, advertisements, or marketplace items. It maintains rotation_period, group_id, an ordered list of assets, current_position, and next_rotation timestamps. This ensures fair and balanced exposure across participants. The Hits History module aggregates timestamped engagement signals including impressions, clicks, dwell time, and interaction depth. These signals are normalized into an engagement_score that informs placement, pricing, and rotation group membership. Canonical serialization is applied to Cycle Hits and Hits History structures to ensure deterministic representation for hashing, proof generation, and provenance anchoring. Enablement example (JSON): { “cycle_hits”: {  “rotation_period”: “24h”,  “group_id”: “grp_123”,  “assets”: [“ad_001”, “ad_002”, “ad_003”],  “current_position”: 2,  “next_rotation”: “2025-12-30T00:00:00Z” }, “hits_hist