Published document record

GPAI: sending documents to the AI Office

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    GPAI: sending documents to the AI Office. Service Desk publication manifestation, October 2025.

    Source: European Commission. Retrieved 2026-09-10.

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    SHA-256: 45beb413bd00cd489110912457a718ac1c058832db7a9f8f770d016ac1f701d7

Official metadata

Official title
Sending Documents to the AI Office
Document type
Guidelines
Document date
2025-10-20
Document date kind
Publication
Document-date evidence
European Commission · Resource card GPAI provisions: Sending documents to the EU AI Office, dated 20/10/2025, with exact PDF download. — Publication-based primary date for this dated manifestation; the PDF has no explicit issue date. This is not first-ever publication.
Publication date
2025-10-20
Publication-date evidence
European Commission · Resource-specific date 20/10/2025 and direct submitting_gpaisr_documents...118672-1.pdf link. — Dated Service Desk manifestation; the Commission signature page also links the guidance, so no first-publication claim is made.
Version label
Service Desk publication manifestation, October 2025
Legal status
Non binding
Language
en

Research classifications

These are researcher classifications used to organise and analyse the corpus; they are not official EU metadata.

Record level
Supporting
Version status
Final
Temporal collection
Contemporary EU AI policy
Relevance class
Direct AI relevance
Policy stage
Implementation
Corpus tier
Directly related
Sectors
  • General cross sector
Policy membership
  • AI Act implementation
  • EU AI policy pathway

Classification evidence

  • Relevance class: Direct AI relevance · European Commission · PDF p.1: GPAI provider notifications, reassessments and incident reports under Articles 52 and 55; no sector-specific limitation. — Operational AI Act guidance on EU SEND submissions under Articles 52 and 55 and the GPAI Code of Practice.
  • Sector tags: General cross sector · European Commission · PDF p.1: GPAI provider notifications, reassessments and incident reports under Articles 52 and 55; no sector-specific limitation. — The document addresses the cross-sector AI regulatory framework rather than a single application sector.
  • Provenance tags: Authored by an EU institution · European Commission · PDF p.1: GPAI provider notifications, reassessments and incident reports under Articles 52 and 55; no sector-specific limitation. — Official institutional text published in the Council or Commission's own document channel.
  • Provenance tags: Officially published · European Commission · Resource-specific date 20/10/2025 and direct submitting_gpaisr_documents...118672-1.pdf link. — Exact official source provides the cited publication manifestation.

Production provenance

Provenance tags
  • Authored by an EU institution
  • Officially published
Named bibliographic authors
None recorded after review
Institutions and roles

Official sources and identifiers

Research assessment

Inclusion rationale
Operational AI Act guidance on EU SEND submissions under Articles 52 and 55 and the GPAI Code of Practice.
Researcher notes
Undated PDF. Resource-card date is a publication manifestation, not an inferred issue date or first publication date. Technical guidance does not create a new legislative obligation.
Review status
verified

Relationships

No additional published relationships touch this record.

Verification

Expanded evidence review
Verified
Reviewed by
Yichen Hao
Evidence review date
2026-09-07T01:54:30Z

The evidence review date is not a separate human sign-off date. Review credit and evidence-review actions

  • Last verified: 2026-09-07T01:54:30Z · Official source retrieved with Scrapling; retained evidence receipt resources/d1ce726d59c048d9.json; raw SHA-256 941bddc80071ddeeebb540d3a5e1f1563a15804e3e89163c41de0d58745ee505. This is evidence verification, not a separate personal sign-off. Source receipts are archived in research/reviews/2026-09-07-ai-act-gaps/.
  • Last verified: 2026-09-07T01:54:30Z · Official source retrieved with Scrapling; retained evidence receipt resources/c5b38e7161ab44b8.json; raw SHA-256 45beb413bd00cd489110912457a718ac1c058832db7a9f8f770d016ac1f701d7. This is evidence verification, not a separate personal sign-off. Source receipts are archived in research/reviews/2026-09-07-ai-act-gaps/.

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