Skip to content
Forticia
Research
Quantitative FinanceEquities, FX, futures. Factors and backtests, every run replayable.Computational BiologySequence, folding, simulation. Versioned, reproducible labs.Cultural IntelligencePhilosophy, governance, ethics. How institutions decide and answer for it.AI InstrumentationPrivate models. Multi-agent orchestration. Guardrails on write.View all research
Quantitative Finance
  • Equities, FX, futures
  • Factors and backtests
  • Every run logged and replayable
InfrastructurePapersPolarisLink™About
Sign inRequest access
Request access

Research

Quantitative FinanceEquities, FX, futures. Factors and backtests, every run replayable.Computational BiologySequence, folding, simulation. Versioned, reproducible labs.Cultural IntelligencePhilosophy, governance, ethics. How institutions decide and answer for it.AI InstrumentationPrivate models. Multi-agent orchestration. Guardrails on write.

Platform

InfrastructurePapersPolarisLink™About
Request accessSign in
Forticia

A private institute for computational research. It publishes original research and runs a governed environment where every run is logged and replayable.

Sign inSystem status

Research

Quantitative FinanceComputational BiologyCultural IntelligenceAI Instrumentation

Platform

InfrastructurePapersPolarisLink™StatusSign in

Institute

AboutRequest accessContactGitHubPolarisLink repository

Forticia publishes research and simulations. Nothing on this site is investment advice.

© 2026 ForticiaPrivacyTerms
Papers

Research, in writing.

Papers, notes and essays from Forticia Research Institute. Every piece states what it claims and what it does not, and shows its sources.

Published
9
Disciplines
4
Latest
6 Oct 2026
Featured
QuantPaper

Feed honesty before alpha: findings from the Yash Desk options research programme

Dr Yash Kulkarni's options research found that most apparent edge in a 0DTE backtest came from the data feed and the harness, not the market, and that a fleet which keeps its falsifications is more informative than one that keeps its winners.

Dr Yash Kulkarni / 6 October 2026Read, 11 min

Archive

9 of 9 papers

  • 5 Oct 2026Paper

    How many independent proteins are in a benchmark? Error correlation across sequence similarity and the cost to error bars

    Model errors on related proteins are correlated even at the weakest significant hits. We measure it and what it does to benchmark confidence intervals.

    • Benchmarking
    • Protein sequences
    • Effective sample size
    • Homology
    Biology21 min read
  • 5 Oct 2026Paper

    Where identical code gives different answers: a reproducibility budget for a protein-sequence pipeline

    One protein pipeline, 192 runs, one factor changed at a time: seeds dominate, thread and BLAS noise is invisible, and one library release flips a verdict.

    • Reproducibility
    • Computational biology
    • Protein sequences
    • Numerical stability
    Biology17 min read
  • 5 Oct 2026Paper

    Canaries in the approval queue: what injected known-bad requests buy a fatigued human reviewer

    In simulation, injected known-bad requests help a fatigued reviewer only above a spare-attention threshold, and recognisable canaries hide the failure.

    • Human oversight
    • Approval fatigue
    • Agents
    • Canaries
    AI15 min read
  • 5 Oct 2026Paper

    What an agent audit log can answer: measuring incident answerability across logging schemas

    Simulated approval incidents and a hash-chained log show which fields answer which questions, what defaults cost, and how anchoring sets tamper detection.

    • Audit trail
    • Agents
    • Approvals
    • Tamper-evident logging
    AI16 min read
  • 5 Oct 2026Paper

    Gate stacks are not products: measuring the rubber-stamp risk of a research pipeline

    In a simulated research pipeline, correlated gates protect up to 18 times less than their pass rates imply, and a one-draw placebo is a coin flip.

    • Research methodology
    • Multiple testing
    • Backtest validation
    • Placebo controls
    Quant19 min read
  • 5 Oct 2026Paper

    When a failure record lies: the economics of shared negative results in a research swarm

    In a simulated swarm, sharing falsified ideas saves a third of compute, but neighbourhood rules close off real effects unless records carry their test power.

    • Research methodology
    • Negative results
    • Multi-agent search
    • False negatives
    Quant17 min read
  • 5 Oct 2026Paper

    Never Tune a Corpse

    When may a rejected idea be reopened? Simulated burial and exhumation rules, their false discovery cost, and how the graveyard can audit the court.

    • epistemics
    • research governance
    • multiple testing
    • replication
    Culture16 min read
  • 5 Oct 2026Paper

    When Approval Stops Carrying Information

    A conditional-information measure of rubber-stamping, the defect rate where review rationally collapses, and which levers restore it. A simulation study.

    • governance
    • oversight
    • rubber-stamping
    • information theory
    Culture18 min read

How we publish

Each paper carries its authors, publication date and a citation block generated from that metadata. We do not assign DOIs, and we do not publish results that cannot be reproduced from the method described.