TABLE OF CONTENTS [TAP TO EXPAND]
- 01 Time-Varying Corporate and Entity States
- 02 Stale Knowledge Contamination
- 03 Limits of Manual Invalidation
- 04 Continuous Exponential Decay Manifolds
- 05 Decay Engine Architecture
- 06 Decay Weighted Inference
- 07 Historical Timeline Replay
- 08 Demonstrated Results
- 09 Decay Calibration
- 10 Self-Calibrating Decay Rates
Time-Varying Corporate and Entity States
Real-world facts have lifespans. A company's chief technology officer, a client's credit limit, or an inventory SKU location are transient truths that expire or mutate over time.
Stale Knowledge Contamination
Static knowledge graphs store facts as timeless assertions. When downstream AI agents query the graph, expired relationship links pollute reasoning chains, generating outdated conclusions.
Limits of Manual Invalidation
Manual cache invalidation fails at scale because entity mutations cause non-linear ripple effects across multi-hop dependency chains.
Continuous Exponential Decay Manifolds
HIRAX formulated a continuous decay-weighted embedding space where edge weights attenuate automatically along a temporal time-axis ($T$).
Decay Engine Architecture
Embeds temporal validity intervals directly into vector coordinate manifolds, evaluated by a time-slice query engine at arbitrary historic or simulated future timestamps.
Decay Weighted Inference
When a query executes, relationship weights attenuate based on elapsed time since verification. Stale links naturally fade below reasoning thresholds without requiring destructive database deletes.
Historical Timeline Replay
Evaluated against 5 years of historical financial transaction data with continuous entity state mutations.
Demonstrated Results
Achieved consistent temporal reasoning over time-varying corporate entity relationships without stale state contamination.
Decay Calibration
Requires domain-specific half-life tuning for different entity classification categories.
Self-Calibrating Decay Rates
Investigating meta-learning models to autonomously infer decay half-lives from historical mutation frequencies.