Validation Infrastructure

The AnubisX Framework defines a pre-specified four-tier validation infrastructure comprising 31 acceptance criteria with thresholds defined a priori. This section documents the current validation status, experimental results, known limitations, and the forward validation roadmap.

Validation Framework

TierFocusCriteriaKey ThresholdsCurrent Status
Tier IFoundation6100% pass on formal consistency checksPROPOSED
Tier IIImplementation8Variance reduction ≥ 30%, d' ≥ 1.50PROPOSED
Tier IIIEmpirical10AUC ≥ 0.95, EER ≤ 0.08, Rank-1 ≥ 0.90PROPOSED
Tier IVOperational7FAR drift < 0.1%/month, throughput ≥ 100/sPROPOSED

Current Validation Status

These criteria are presented as a methodological contribution (PROPOSED). None have been formally evaluated against the pre-specified thresholds. The informal proof-of-concept experiments reported in the Evidence section provide initial feasibility indications but do not constitute formal validation.

The open-source prototype (Anubis Twitter v2.5) provides prototype-level evidence for six of ten documented claims. These claims achieve prototype-validated status, meaning they are demonstrated in code and reproducible with the provided dataset and tools.

Experimental Results

ExperimentMetricResult
EXP-001Fingerprint dimensional consistency31/31 accounts produce 372-dim vectors
EXP-002Cross-user cosine similarity distributionμ = 0.697, σ = 0.105, N = 465 pairs
EXP-004Lexical feature discriminabilitySignificant variation across 31 users
EXP-006FAISS search latency6–8 μs per query (single-threaded)
EXP-015Egyptian content verification144 keywords, 58 slang terms, 12 locations

Known Limitations

Validation Roadmap

  1. Phase 1 — Foundation Review (Current): Peer review of the axiomatic foundation, mathematical framework, and validation infrastructure specification.
  2. Phase 2 — Prototype Extension: Extend the open-source prototype to support additional modalities and expand the dataset beyond 31 accounts.
  3. Phase 3 — Tier I & II Formal Evaluation: Systematic evaluation against the 14 foundation and implementation criteria with pre-registered protocols.
  4. Phase 4 — Tier III Empirical Validation: Large-scale empirical studies across multiple platforms, languages, and behavioral modalities.
  5. Phase 5 — Tier IV Operational Readiness: Deployment testing, adversarial robustness evaluation, and confidence calibration implementation.