Wave-0 library

Find a work.
Keep the evidence.

Search across title, alias, source type, and work ID. Every result links to a stable record page carrying the claims coded from that work—each with an evidence class, a scope boundary, and a confidence grade.

34 QA-gated works 70 evidence-graded claims 6 source families

Work library

34 QA-gated works

Filters combine; grades reflect each work’s recorded claims.

  1. AIORG-W001

    AI-Native Firms

    HBS Working Paper 26-090 · SSRN 6905079

    working paper abstract

  2. AIORG-W006 High-confidence claim

    Generative AI at Work

    QJE qjae044 · NBER w31161

    peer reviewed journal article

  3. AIORG-W033

    Generative AI in Real-World Workplaces

    MSR-TR-2024-29 · Microsoft Research workplace GenAI technical report

    vendor research technical report

  4. AIORG-W002

    Mapping AI into Production

    INSEAD Working Paper 2026/20/STR · SSRN 6513481

    working paper abstract

  5. AIORG-W024 High-confidence claim

    OECD AI Principles

    OECD Recommendation of the Council on Artificial Intelligence · updated OECD AI Principles 2024

    official intergovernmental principles

Snapshot export

Take the wave with its limits attached.

Exports carry work IDs, titles, source locators, and claim counts from the wave-0 ledger. Bibliographic fields (authors, year, venue, DOI) are unresolved until wave-1 hydration, so citation-manager formats wait rather than ship half-empty.

Complete 34-work snapshot
BibTeX — wave 1 RIS — wave 1
Provenance

Every export mirrors corpus.v0.json, projected from the hash-bound ledger apw-r0-seed (sha256 ce8aff0549a7…), landed from campaign 2026-08-18__ai-native-organization.

Read the method