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Pythos Changelog

Authoritative release notes, verification engine milestones, and mathematical system updates.

Pythos 1.1.0

Latest Release
✦ WHAT'S NEW
  • Classical Interactive Visualization Engine (vizEngine/): Trusted, schema-validated client visualization framework rendering Aegean-styled instruments with Ancient Greek typography (Cinzel), marble tablets, and responsive sliders. Includes 9 local simulation models: Projectile Motion (ΒΛΗΜΑ), Newton's Second Law (ΔΥΝΑΜΙΚΗ), Energy Conservation (ΕΝΕΡΓΕΙΑ), Momentum & Collisions (ΟΡΜΗ), Hooke's Law (ΕΛΑΤΗΡΙΟΝ), Wave Mechanics (ΚΥΜΑ), DC Circuits (ΚΥΚΛΩΜΑ), Unit Circle Trigonometry (ΤΡΙΓΩΝΟΜΕΤΡΙΑ), and Differential Calculus (ΑΠΕΙΡΟΣΤΙΚΟΣ ΛΟΓΙΣΜΟΣ). Features full LLM system prompt awareness of the [VIZ: ...] protocol, natural-language intent routing, and responsive wide viewport presentation placing simulations and controls side-by-side on desktop ($\ge 900\text{px}$) with zero vertical scrolling.
  • Accessible Markdown Tables: Full GitHub-Flavored Markdown table parsing in the zero-flash streaming pipeline with horizontal scroll protection and LaTeX cell compatibility.
  • Student Problem Reporting System (reportService.js): Student-facing 🐞 Report a Problem modal dialog, immutable daily JSON audit logging, administrative review lifecycles, student PII redaction, and dynamic runtime feature flags.
  • Deterministic Logical Reasoning Layer (logic_verifier.py): Decoupled tri-aspect verification, unstated assumption auditing, and automated counterexample generation for invalid algebraic inferences.
  • Pedagogical Pacing & Adaptive Notation: Instant short-circuiting for trivial arithmetic ($15 \times 4$), progressive algebraic pacing, and adaptive multiplication notation ($\times \to \cdot \to$ juxtaposition).
⚖️ VERIFICATION & MASTER HARNESS
  • 100% Pass Across 9 Master Test Suites: Unified regression runner (test-regression-harness.js) verifying CAS mathematics, Math.js adversarial edge cases, tri-aspect logic, reporting lifecycles, PII minimization, pedagogy routing, structured tokens, table formatting, and the visualization engine.

Pythos 1.0.0

Official Release
✦ WHAT'S NEW
  • Specialized Problem Classifier & Routing Engine (problemClassifier.js): Automatically identifies 12+ problem domains including ARITHMETIC, ALGEBRA, CALCULUS, PROBABILITY, STATISTICS, PHYSICS, TRIGONOMETRY, and CONCEPTUAL reasoning.
  • Two-Stage Reasoning Architecture: Rigorously separates Stage 1: Situation & Model Identification (identifying boundary constraints and potential traps) from Stage 2: Mathematical Derivation (exact step-by-step verified LaTeX solutions).
  • Pre-Flight Deterministic CAS Ground Truth (deterministicRouter.js): Instant computation (<1ms) of mathematical constraints (e.g. 3-sided river fencing optimization, two-machine Bayes defect posteriors, projectile motion trajectories) injected directly into prompt context.
  • Worksheet OCR Math Normalizer (ocrMathNormalizer.js): Automatically parses multi-line stacked ASCII fractions, inline ratios, and labeled problem worksheets into clean, structured LaTeX notation.
  • Cross-Step Internal Consistency Verifier (verificationBridge.js): Intercepts and rejects mathematical contradictions across reasoning steps (e.g. catching $0.06 \times 0.30 = 0.018$ vs flawed $0.09$ derivations).
  • Dynamic Domain-Aware Wait-State UX: Displays rotating, problem-specific status messages ("Untangling the equation...", "Following the probabilities...") while computing complex proofs.
  • Request Lifecycle & Concurrency Controller (concurrencyLimiter.js): Full AbortController cancellation propagation across client disconnects, semaphores, and worker processes.
⚡ PERFORMANCE & LATENCY
  • Instant Deterministic Short-Circuiting: Pure arithmetic, fraction calculations, and direct linear equations evaluate in 3–49 ms with 0 AI calls.
  • Zero Hallucination Ground Truth: Complex word problems pre-compute CAS invariants to guarantee 100% numerical accuracy regardless of LLM generation variance.
⚖️ VERIFICATION & HARDENING
  • 100% Test Pass Rate: Validated across 14 regression test suites and 216 SymPy/SciPy Python CAS verifier unit tests.
  • Adversarial Math.js Verification: 15/15 checks passing across symbolic equivalence, extraneous roots, unit mismatches, and domain constraints.
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