Armiger Plugin #3 — Zero-Cue Catalog & Structural Disambiguator (armiger-zero-cue-catalog)

Resolves bare-title ("zero-cue") torrents lacking season/episode syntax via an offline 929,400-entry BLAKE2b-64 cryptographically hashed media catalog (26.0 MB) and deterministic structural rules, lifting 5-split (N=10,262) category accuracy from 94.00% to 95.42% and specialist zero-cue accuracy from 87.40% to 91.50% (+4.10 pp).
Available standalone here and pre-bundled inside NorviTech/armiger-ultra.

Why the Zero-Cue Catalog Plugin Exists

In real-world BitTorrent/DHT indexing, 2% to 4% of movie, TV, and anime torrents contain zero structural cues in either their title or file tree:

• Sintel (2010) [1080p] [WEB-DL].mkv (a standalone film vs. a 1-file TV special)
• [SubGroup] Bare Japanese/English Title [1080p].mkv (a theatrical anime film vs. a TV OVA/series without an episode number)
• Director Name - Movies 1-6 Collection (1979-1998) 1080p (a multi-file movie pack whose 6 .mkv files look identical in file-count to a 6-episode TV mini-series)

Even a 70B+ parameter cloud LLM must guess when given only a bare title unless it can consult a media catalog. NorviTech/armiger-zero-cue-catalog pairs deterministic structural guards with an offline, O(1) hash-table lookup across 929,400 BLAKE2b-64 (person=b"ArmigZCC") cryptographically hashed keys (472,017 (title, year) pairs, 257,016 anime title stems, and 200,367 unambiguous long titles — zero plain-text media titles stored on disk, zero info_hash memorization).

Measured Accuracy Lift Across All 6 Evaluation Cohorts (Unmutated Ground-Truth Keys)

Evaluation Cohort (Unmutated rows.y)	Valid N	Standalone Neural (FP32 / INT8)	Fair Blind Hybrid (+ armiger-zero-cue-catalog FP32 / INT8)	Net Lift
oct15_confirmation (Gold Standard)	2,835	95.03% / 95.06% (96.60% Movie-vs-TV)	95.49% / 95.49% (97.30% Movie-vs-TV)	+0.46 pp
fresh_confirmation (Fresh Holdout)	1,402	94.51% / 94.44%	94.58% / 94.51%	+0.07 pp
beyond_confirmation (Hard Edge-Cases)	1,025	92.88% / 92.88% (88.74% Movie-vs-TV)	95.12% / 95.12% (96.54% Movie-vs-TV)	+2.24 pp
zero_cue_2000 (Specialist Zero-Cue)	2,000	87.40% / 87.35%	91.50% / 91.50%	+4.10 pp
multilang_3000 (Multilingual)	3,000	97.50% / 97.37%	98.47% / 98.40%	+0.97 pp
calibration (Calibration Split)	424	96.46% / 96.46%	96.70% / 96.70%	+0.24 pp
5-Split Weighted Mean (N=10,262)	10,262	94.00% / 93.95%	95.42% / 95.39%	+1.42 pp

Quickstart

from zero_cue_plugin import ZeroCueCatalogPlugin

plugin = ZeroCueCatalogPlugin("validated_zero_cue_catalog.json")
res = plugin.resolve(
    raw_name="Sintel (2010) [1080p] [WEB-DL]",
    probs_category=[0.46, 0.51, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03],
    p_adult=0.01,
    p_anime=0.02,
)
print(res)
# -> {'category_index': 0, 'category': 'movie', 'resolution_source': 'zero_cue_title_year'}

Part of the Armiger Modular Suite

This plugin is bundled inside NorviTech/armiger-ultra alongside all 6 official plugins (armiger-swarm-survival, armiger-swarm-priors, armiger-zero-cue-catalog, armiger-audio-guard, armiger-calibration-dht, and armiger-dht-db-sync) and is compatible with NorviTech/armiger (8.3 MB CPU INT8).

Intended Use & Legal Compliance

Open-source machine learning and cryptographic metadata-classification utility designed strictly for lawful use cases (indexing licensed, public-domain, Creative Commons, and open-source media/software; malware & fake-seeder honeypot filtering; and CSAM/abuse pre-ingest blocking). NorviTech does not condone, encourage, or support copyright infringement. See LEGAL.md and NOTICE.

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Armiger Ultra · Armiger · Swarm Survival · Swarm Priors · Zero-Cue Catalog · Audio Guard · Calibration & DHT RSI · DHT DB Sync · norvitech.com