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Multi-Agent Reasoning Swarm (MARS)

The Multi-Agent Reasoning Swarm (MARS) is the intelligence core of the Aegis-Graph protocol. Unlike traditional rule-based verification, MARS utilizes a pipeline of specialized agents that collaborate to reach an audit consensus on academic integrity markers.

๐Ÿ‘๏ธ Agent Alpha: Vision Forensics (VF)

The VF Agent is responsible for the initial structural analysis of digital artifacts. It acts as the "first responder" in the audit pipeline.

Current Scope (Prototype)

  • Structural Extraction: Identifies key layout elements like seals, headers, and signature lines.
  • OCR Normalization: Converts visual data into semantic metadata for the reasoning layer.
  • Detection Markers: Identifies obvious document layout inconsistencies (Pixel-level GAN forensics is a roadmap item).

๐Ÿ—บ๏ธ Agent Beta: Graph Navigator (GN)

The GN Agent is the specialized intelligence for resolving institutional evidence. It establishes the context of the credential's issuer.

Capabilities

  • Identity Resolution: Queries the Research Organization Registry (ROR) and OpenAlex to verify the issuer's global identity.
  • Lineage Mapping: Reviews the history of institutions, including mergers, name changes, and dissolutions.
  • Registry Evidence: Provides supporting evidence of an institution's existence and status.

โš–๏ธ Agent Gamma: Logic Auditor (LA)

The LA Agent is responsible for cross-layer reasoning and consistency checks.

Logic Layers

  • Temporal Consistency: Ensures that the degree issuance date aligns with the institution's operational timeline.
  • Fraud Detection: Cross-references institution names and aliases against known fraud registries and blacklists.
  • Consensus Orchestration: Aggregates findings from the VF and GN agents. If a conflict arises, the LA Agent performs Chain-of-Thought (CoT) reasoning to determine the final risk score.

๐Ÿค The Audit Handshake

A final audit verdict is issued based on the MARS swarm's cumulative evidence.

  1. Ingestion: Normalization of document data.
  2. Parallel Audit: Agents execute specialized evidence checks.
  3. Consensus: The Logic Auditor resolves contradictions and calculates the final evidence weight.
  4. Reporting: A non-production audit report is generated detailing the reasoning trail.

Production Status: Professional verification requires server-side document parsing, issuer evidence, revocation checks, and a signed audit response.


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