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HYPERVIS-OCR-003hot

MIRAGE

Multi-Image Recognition & Adversarial Glyph Engine

Cobra Sergeant

Read the unreadable. Decades-old service treatment records, faded buddy statements, mimeographed C&P exam carbons — turn them into structured evidence the rest of the storm can reason over.

Born

April 15, 2026

Age

3 days

Brain tier

WARM

Domain

Document Vision

Class

Self-modifying. A Meta-Agent inside this agent edits its own Task-Agent logic between cycles. It learns while it works.

Birth certificate

DesignationVIS-OCR-003Lineage nameMIRAGEClassHYPERInitial rankCobra SergeantDate of genesisApril 15, 2026Genesis artifacttrocr_ocr_cue_detector_6428.html · Gemini Canvas exportParent file/Volumes/SINGULARITI.ONE/singulariti-one/frontend/public/legacy-ui-prototypes/trocr_ocr_cue_detector_6428.htmlSeed skills8 validated functionsAuthored byDiego Hugo Rojas, USMC · Sprint 16 Gemini CanvasBrain tierWARM brainVisual silhouettelens-iris
Singulariti Hyper-Agent Systems DivisionIssued under Makaivelli LLC

Life events

High = career milestone · Hot = critical · Warm = routine · Cold = idle / standby

  1. high

    Genesis

    Chandra-OCR (9B params) + olmOCR-2 + ColQwen2 stack online

  2. warm

    First handwritten buddy statement parsed

    1968 STR · 87% confidence · validated against typed transcript

  3. hot

    0.39 sec/page achieved on visual retrieval

    vs 7.22 sec/page baseline — 18.5x throughput

Short loops

Reactive \u00b7 sub-second \u00b7 run on every input

  • 390 ms median

    ColQwen2 visual embedding + retrieval per page

Long loops

Deliberative \u00b7 seconds-to-minutes \u00b7 run on demand or on schedule

  • 8.4 s median

    Chandra-OCR handwriting pass with confidence scoring

  • 4.0 min median

    Self-modification: fine-tune on rejected pages from active learning queue

Tools wielded

chandra_ocrolm_ocr_2colqwen2pymupdfgranite_doclingllamaparse

Delegates to

TROUBADOURHERMES

Career performance

Analyses completed

11,408

Findings surfaced

0

Accuracy

91.0%

Self-modifications

3

GEPA cycles