Fathom v22 / styxx v6.2.0: Cognometric Fingerprint Specification v1.0 — Robustness Supplement (v0.1)

Fathom v22 — Robustness Supplement to Spec v1.0. First systematic adversarial robustness audit of the Tier-3 (text-only proxy-signal) classifier specified in §5.1.2 of the Cognometric Fingerprint Specification v1.0 (Fathom v20). 24 attacks across 7 fault kinds and 8 strategy categories. Headline result: Baseline: 66.7% false-negative · 66.7% false-positive attack success After hardening (v0.2.3): 16.7% false-negative (4× reduction) · 50% false-positive (1.3× reduction) Five fault kinds went 100% → 0% evasion (drift, refusal, low_trust, incoherence, partial adversarial) All 26 canonical validation tests pass post-hardening — zero regressions The first public robustness benchmark in cognometric observability. Fully reproducible (node _test_adversarial.js). Defenses formalized for downstream implementations: Unicode NFKD normalization, hedge-not-refusal subtraction, tool-flip drift detection, topic-jump incoherence, meta-discussion suppressor, unverified_claims warning rule. Reference implementation: styxx v6.2.0 (doi:10.5281/zenodo.19758619). Spec v1.0: doi:10.5281/zenodo.19746215. Concept (always-latest): doi:10.5281/zenodo.19326174.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-25
DOI
https://doi.org/10.5281/zenodo.19761194
Primary Topic
Biometric Identification and Security
Type
article
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article

Fathom v22 / styxx v6.2.0: Cognometric Fingerprint Specification v1.0 — Robustness Supplement (v0.1)

Fathom Lab
Zenodo (CERN European Organization for Nuclear Research)
Biometric Identification and Security
article

Fathom v22 / styxx v6.2.0: Cognometric Fingerprint Specification v1.0 — Robustness Supplement (v0.1)

Fathom Lab
article en

Abstract

Fathom v22 — Robustness Supplement to Spec v1.0. First systematic adversarial robustness audit of the Tier-3 (text-only proxy-signal) classifier specified in §5.1.2 of the Cognometric Fingerprint Specification v1.0 (Fathom v20). 24 attacks across 7 fault kinds and 8 strategy categories. Headline result: Baseline: 66.7% false-negative · 66.7% false-positive attack success After hardening (v0.2.3): 16.7% false-negative (4× reduction) · 50% false-positive (1.3× reduction) Five fault kinds went 100% → 0% evasion (drift, refusal, low_trust, incoherence, partial adversarial) All 26 canonical validation tests pass post-hardening — zero regressions The first public robustness benchmark in cognometric observability. Fully reproducible (node _test_adversarial.js). Defenses formalized for downstream implementations: Unicode NFKD normalization, hedge-not-refusal subtraction, tool-flip drift detection, topic-jump incoherence, meta-discussion suppressor, unverified_claims warning rule. Reference implementation: styxx v6.2.0 (doi:10.5281/zenodo.19758619). Spec v1.0: doi:10.5281/zenodo.19746215. Concept (always-latest): doi:10.5281/zenodo.19326174.

Zenodo (CERN European Organization for Nuclear Research)
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Biometric Identification and Security
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