Fabio
76b8ec33a7
Ingested titles 12–51 and 54 from OLRC USLM XML @119-100 (the whole Code now, uniform edition; Title 53 is reserved/empty). LegalText 11,221 -> 59,740; repo total 105,704 records. Deterministic (byte-identical rerun, verified on Title 42's 8,356 sections); make check green. make legal-us-code default now covers every title. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
42 lines
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42 lines
2.0 KiB
Markdown
---
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type: "LegalText"
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title: "15 U.S.C. § 9203"
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description: "NIST support for research and standards on generative adversarial networks"
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jurisdiction: "us"
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corpus: "united_states_code"
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kind: "code_section"
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title_number: 15
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title_name: "COMMERCE AND TRADE"
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chapter_number: "117"
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chapter_name: "IDENTIFYING OUTPUTS OF GENERATIVE ADVERSARIAL NETWORKS"
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section: "9203"
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citation: "15 U.S.C. § 9203"
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status: "current"
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release_point: "119-100"
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release_date: "2026-06-26"
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source: "official"
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source_url: "https://uscode.house.gov/download/releasepoints/us/pl/119/100/xml_usc15@119-100.zip"
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source_identifier: "/us/usc/t15/s9203"
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source_file: "data/legal/raw/us/code/title-15/usc15.xml"
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raw_snapshot_hash: "6982338d990ef19d6b52bff6825089bdd6d0ee1233d9382673faf533decd5059"
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text_hash: "3397f18c89b7ab5bbc99c8adfc9d3b2cabdc560b875608ccef1cafdb30112364"
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retrieved_at: "2026-07-04"
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confidence: "official"
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tags: ["legal", "us-code"]
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---
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# 15 U.S.C. § 9203 - NIST support for research and standards on generative adversarial networks
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## Text
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(a) In general The Director of the National Institute of Standards and Technology shall support research for the development of measurements and standards necessary to accelerate the development of the technological tools to examine the function and outputs of generative adversarial networks or other technologies that synthesize or manipulate content.
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(b) Outreach The Director of the National Institute of Standards and Technology shall conduct outreach—
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(1) to receive input from private, public, and academic stakeholders on fundamental measurements and standards research necessary to examine the function and outputs of generative adversarial networks; and
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(2) to consider the feasibility of an ongoing public and private sector engagement to develop voluntary standards for the function and outputs of generative adversarial networks or other technologies that synthesize or manipulate content.
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(Pub. L. 116–258, § 4, Dec. 23, 2020, 134 Stat. 1151.)
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