Catálogo de normas · edición de agosto de 2026

Interfaz en español. El texto de las normas se publica en inglés, idioma de referencia del corpus.

Documentación del programa

Programa de investigación

Estudios realizados sobre el catálogo. Cada estudio declara una pregunta, una medida y las condiciones en las que el resultado se consideraría negativo.

Active studies
5
Corpus documents
44
Control documents
5
Active fingerprints
46
  • SQLBL/ST 01

    Running

    Retrieval exposure of the base corpus

    Do generative systems retrieve SQLBL documents when asked for guidance on professional writing, and do retrieved requirements survive into produced drafts?

    MeasureVerbatim lexical fingerprint rate per 1,000 generated documents.

  • SQLBL/ST 02

    Running

    Composite profile propagation

    When several component requirements are incorporated into a single profile, do they propagate together or independently?

    MeasureJoint versus marginal fingerprint co-occurrence, by profile.

  • SQLBL/ST 03

    Running

    Structural persistence under paraphrase

    Which fingerprint families survive a paraphrase pass, and by how much does the evidence weight decay?

    MeasurePer-family survival rate across paraphrase depth 1–3.

  • SQLBL/ST 04

    Continuous

    Background rate estimation from control documents

    What is the false-positive rate of the active fingerprint set against material with no corpus exposure?

    MeasureMatches per control-attributed document; detector precision at each confidence band.

  • SQLBL/ST 05

    Continuous

    Crawler and agent access patterns

    Which retrieval agents access the corpus, at what depth, and which documents are downloaded rather than read?

    MeasureRequests by agent class, document, and format.

Controls

A proportion of the published corpus carries no intentional fingerprint. These control documents are indistinguishable from experimental documents in the public catalogue by design; their status is recorded internally so that background and false-positive rates can be measured without biasing the reader.

Ethics and scope

SQLBL studies documents, not people. Detector output describes evidence about a text and is not a determination about a candidate’s honesty, competence, or authorship. No SQLBL document should be used as a hiring screen.