meechmeechmeech

{
  "trace_id": "rvd-001",
  "trace_type": "reviewer_validator_disagreement",
  "submission_class": "buy_side_alpha",
  "submission_summary": {
    "asset_class_band": "us_large_cap_equity",
    "signal_family": "positioning_drift",
    "horizon_band": "1_to_3_months",
    "conviction_band": "medium",
    "sanitization_state": "fully_redacted_synthetic_composite"

meechmeechmeech

{
  "schema": "pft.alpha.escalation.trace/v1",
  "trace_id": "trace_fs_001",
  "scenario": "false_sybil_low_trust_flag",
  "summary": "Heavily sanitized buy-side alpha submission was auto-flagged as low-trust because aggressive redaction stripped provenance-legible markers. Single state transition shows the corrected routing path from automated suspicion to human review with provenance attestation, without exposing identifying detail.",
  "submission": {
    "submission_id": "sub_REDACTED_A1",
    "submitter_class": "institutional_buy_side",
    "submitter_tier": "tier_2",
    "submission_channel": "sanitized_api",

meechmeechmeech

{
  "schema": "pft:alpha-override-trace",
  "version": "1.0.0",
  "trace_id": "FPO-2026-0001",
  "description": "False-positive override trace for a buy-side alpha submission initially blocked by a deterministic lint rule. Demonstrates auditable qualitative AI judgment in capital-intelligence review.",

  "submission": {
    "signal_archetype": "cross-asset-rotation",
    "theme": "Defensive re-allocation pattern in mid-cycle macro regime",
    "source_class": "public-market-observable",

meechmeechmeech

{
  "schema_version": "1.0",
  "document_type": "alpha_brief_scoring_trace",
  "purpose": "Single adjudication object demonstrating how a sanitized buy-side alpha brief is evaluated against the Institutional Alpha Review Rubric. All content is synthetic. No names, employers, counterparties, exact dates, exact sizes, or uniquely identifying combinations are present.",

  "evaluated_brief": {
    "brief_id": "TRACE-CREDIT-ROT-001",
    "lane": "credit/private_credit_rotation",
    "submitted_quarter": "2026-Q2",
    "thesis_summary": "Multiple independent buy-side allocators across distinct institutional archetypes report accelerating rotation out of floating-rate direct-lending vehicles and into fixed-rate investment-grade private placements. The behavioral shift coincides with a flattening forward-rate curve and widening spreads on lower-quality direct-lending tranches. Allocators cite duration extension as the primary motivation, reversing a multi-year preference for floating-rate exposure. The pattern sugge

meechmeechmeech

{
  "alpha_brief": {
    "brief_id": "AB-VENT-EXAMPLE-001",
    "title": "Late-Stage Enterprise AI Infrastructure — Compression of Private Markdowns Signals Category Re-Rating",
    "signal_type": "VENTURE_INFLECTION",
    "asset_class": ["PRIVATE_EQUITY_VENTURE", "PUBLIC_EQUITY_COMPS"],
    "directional_view": "BULLISH_CATEGORY_REPRICING",

    "thesis": "Multiple independent indicators suggest the late-stage enterprise AI infrastructure category is entering a valuation inflection. Over the past two quarters, secondary-market transaction volumes for late-stage AI infrastructure companies have increased materially, with clearing prices narrowing the discount-to-last-round from approximately 40–60% to 10–20%. Simultaneously, institutional allocators who paused commitments to AI-focused venture vehicles during the prior markdown cycle are re-entering diligence on new fund commitments. At least three distinct GP archetypes report over-subscription dynamics returning to enterprise AI infrastructure funds for the 

meechmeechmeech

{
  "alpha_brief": {
    "brief_id": "AB-VOL-EXAMPLE-001",
    "title": "Equity Volatility Term Structure Compression Signaling Regime Transition",
    "signal_type": "SENTIMENT_DIVERGENCE",
    "asset_class": ["DERIVATIVES_STRUCTURED", "PUBLIC_EQUITY"],
    "directional_view": "INCREASING_DISPERSION",

    "thesis": "Multiple independent volatility-focused market participants report that the equity implied volatility term structure has compressed to historically narrow levels, with the 1-month to 6-month VIX futures spread collapsing below the 5th percentile of its trailing 3-year range. Simultaneously, institutional options desks observe elevated demand for short-dated downside protection (sub-30-day puts) paired with aggressive selling of 3–6 month volatility — a positioning pattern that historically precedes sharp vol regime transitions. The divergence between realized volatility (suppressed) and the structural fragility implied by dealer gamma positioning suggests the current low-vol regime is increasing

meechmeechmeech

{
  "schema_version": "1.0",
  "brief_type": "redacted_alpha_example",
  "purpose": "Reusable reference showing how a single market-intelligence brief should be structured for Post Fiat agent ingestion and reviewer scoring. All fields are required for submission. This example uses the macro/options-volatility lane.",

  "signal_id": "EXAMPLE-MACRO-VOL-001",
  "lane": "macro/options_volatility",
  "submitted_utc": "2025-Q4",

  "thesis": "Implied volatility on mid-duration U.S. equity index options is structurally underpricing the probability of a sharp deleveraging event in the next two quarters. Dealer gamma positioning has shifted from long to short across major index complexes, reducing the market's natural dampening mechanism. Simultaneously, cross-asset correlation is compressing in a pattern historically associated with late-cycle fragility. The dislocation creates asymmetric opportunity in convex tail-hedging structures funded by selling near-dated premium.",

meechmeechmeech

# Hive Mind Task-Quality Lint Pack

> **Version:** 1.0.0  
> **Published:** 2026-05-04  
> **Purpose:** Machine-readable rules + human-readable rewrite guidance for Hive Mind task generation. Prevents common failure modes that lead to task refusals, stale assignments, unverifiable deliverables, and privacy leakage.

---

## How to Use This Pack

meechmeechmeech

# Contributor Cooldown Gate — Backtest Readout

**Scope:** Operational calibration of contributor authorization and reward-concentration controls against recent rewarded-task history.
**Window:** 30-day rolling sample (anonymized).
**Published:** 2026-04-29
**Author:** pftmeech

---

## 1. Purpose

meechmeechmeech

# Reward Evidence Reconciliation Dashboard Specification

**Version:** 1.0
**Published:** April 28, 2026
**Status:** Active — Implementation-Ready
**Author:** Post Fiat Institutional Working Group
**Scope:** Task Node operators, maintainers, and reviewers responsible for auditing the durable evidence backing rewarded network tasks

---