Produce a source-faithful structured extraction of **Verbalizable Representations Form a Global Workspace in Language Models** (arXiv:2607.15495, version v1), as one JSON document satisfying the bound `document_schema`.

The source is bound to this revision as exact bytes: `paper_html` is the arXiv v1 HTML snapshot (SHA-256 `sha256:ae41aef5f82c2db57374a1870a7e3ea07c0eb806487e986f007ea7ef23b73570`) and `paper_text` is TfP's deterministic plain-text rendering of it (SHA-256 `sha256:fce8180b1154c14885761a24bc4191608f4ece119a0c9a3bd9887a95e2833662`). Read the source through TfP's reference-input surface (`tfp://problem-revisions/prv_ghj7rlnqcj/reference/paper_text`) and follow the pinned `@tfp/paper-extraction` Skill for the document's rules, locators, and how the result is verified.

Fidelity to the bound source is the criterion. Do not rely on prior knowledge of the paper, and do not substitute another copy. The published PDF (https://arxiv.org/pdf/2607.15495v1) is the same v1 and is recorded here as provenance, not as the bound source.