{"schema":"sb.node.v1","id":"sb:e/e15d47f40649ccfab2aead67","kind":"entity","label":{"text":"corporate america","locale":"en"},"identity":{"anchor":"label:en:corporate america","strength":"label"},"asOf":{"knowledgeCutoff":"2026-10-15T21:55:31.406490+00:00","snapshot":"deploy a770869106686dde6b625f65594d61875f81a906"},"lens":{"kind":"public"},"build":{"plane":"projected","builtFrom":["entity_graph.slim.json","entity_receipts (deploy asset)","event_graph.json","truth_records (deploy asset)","corroborated_record.json"],"rule":"node-projection.entity@v1"},"standing":{"evidence":{"supporting":81,"separatePublishers":43,"basis":"documents that mention the subject and the outlets that carried them; a mention is evidence the referent is in use, not evidence about any claim","receiptsOnTopic":{"state":"partial","share":0.198,"named":16,"of":81,"basis":"documents whose own title or summary lead names the subject, over every counted document that mentions it anywhere (the entity graph's measurement); receipts are drawn from the former only","blind":["only 20% of the 81 documents measured name the subject in their own text; the rest mention it in passing, so standing.evidence.supporting overstates coverage about it"]}},"admission":{"state":"provisional","kind":"cannot-measure","kindBasis":"graph-predates-admission-kinds","reason":"entity graph provenance 'observed'; the entity graph was built before it carried admission kinds","policy":"promotion (admission kind not carried)"},"disposition":{"state":"served","reason":"public record"},"validity":{"from":"2026-08-02","to":"2026-10-14","basis":"first and last day we saw it mentioned; not the subject's own lifetime"},"measurement":{"state":"partial","blind":["assertion coverage 0: about 100% of mentions carry no typed assertion"]}},"dimensions":{"domains":[],"activeDays":36,"assertions":{}},"up":[],"upNote":"An entity is a root: it is contained by nothing. Pan out by following R.","children":{"count":8,"byKind":{"observation":8},"items":[{"id":"sb:o/2eae49e33286dcc9dbe27e2e","kind":"observation","label":"an unnamed outlet · 2026-10-09 · Dell pledges $1,000 to Trump Accounts of employees' kids, and says it will become a standard benefit in corporate America","url":"https://www.businessinsider.com/michael-dell-trump-accounts-employee-benefits-2026-10"},{"id":"sb:o/4e50d45e05b7c02aff2971e3","kind":"observation","label":"Fast Company · 2026-10-07 · Brian Evergreen is Corporate America’s AI coach. His message: ‘AI doesn’t have vision. Leaders do.’ Are you ready to hear it?","url":"https://www.fastcompany.com/91596725/brian-evergreen-ai-coach-corporate-america-vision-lululemon-microsoft-leaders-create"},{"id":"sb:o/51df849f36218c4e4330e2f0","kind":"observation","label":"Business Insider · 2026-10-06 · Corporate America is putting its staff in layoff limbo","url":"https://www.businessinsider.com/nike-meta-gitlab-forecast-layoffs-strategy-2026-10"},{"id":"sb:o/05976c69f16ad08e00b5764a","kind":"observation","label":"MarketWatch · 2026-10-04 · Corporate America has never been this upbeat about future profits","url":"https://www.marketwatch.com/story/corporate-america-has-never-been-this-upbeat-about-future-profits-fbaf8cd9?mod=mw_rss_topstories"},{"id":"sb:o/522c4ad7eff978f27f3b59d6","kind":"observation","label":"Cryptopolitan · 2026-09-28 · Cheaper AI models gain ground as corporate America cuts costs","url":"https://www.cryptopolitan.com/corporate-america-cheaper-ai-models-price/"},{"id":"sb:o/dc87bf90776c17f8fe765769","kind":"observation","label":"Harvard Law School Forum on Corporate Governance · 2026-09-16 · Open Letter to Corporate America’s Executives and Investors About Shareholder Proposals","url":"https://corpgov.law.harvard.edu/2026/09/16/open-letter-to-corporate-americas-executives-and-investors-about-shareholder-proposals/?utm_source=rss&utm_medium=rss&utm_campaign=open-letter-to-corporate-americas-executives-and-investors-about-shareholder-proposals"},{"id":"sb:o/aee61d362f638b51439e778d","kind":"observation","label":"Fortune · 2026-09-12 · From AI FOMO to AI hangover: corporate America is taking a long, hard look in the mirror right now","url":"https://fortune.com/2026/09/12/ai-fomo-hangover-what-to-do-next-leadership/"},{"id":"sb:o/08b992efecd00fa051b5b57d","kind":"observation","label":"Crypto Briefing · 2026-09-12 · Corporate America faces AI hangover as spending surges to $2.5T","url":"https://cryptobriefing.com/corporate-ai-spending-2-5-trillion-hangover/"}],"cursor":null,"order":"newest first; we keep the 8 newest receipts for this entity whose own title or summary lead (the entity graph's test) names it. Its other observations are counted in standing.evidence.supporting but are not addressable in v1"},"relations":{"count":10,"byKind":{"co-mentioned":10},"items":[{"kind":"relation","label":"co-mentioned with ai (47 documents)","role":"co-mentioned","relationKind":"co-mentioned","members":2,"id":"sb:r/83b9ffab84c06a4b7c5d0500"},{"kind":"relation","label":"co-mentioned with trump (20 documents)","role":"co-mentioned","relationKind":"co-mentioned","members":2,"id":"sb:r/e6b0d708d13cd9249d6f235e"},{"kind":"relation","label":"co-mentioned with buy (19 documents)","role":"co-mentioned","relationKind":"co-mentioned","members":2,"id":"sb:r/82642bf313c6c175ea51b9b6"},{"kind":"relation","label":"co-mentioned with wall street (18 documents)","role":"co-mentioned","relationKind":"co-mentioned","members":2,"id":"sb:r/78e69876a96d5ae282657d9f"},{"kind":"relation","label":"co-mentioned with google (16 documents)","role":"co-mentioned","relationKind":"co-mentioned","members":2,"id":"sb:r/dd57847b209c785eaebfdda0"},{"kind":"relation","label":"co-mentioned with oil (15 documents)","role":"co-mentioned","relationKind":"co-mentioned","members":2,"id":"sb:r/d4e6cd1daeb3a8e2caa2bcc1"},{"kind":"relation","label":"co-mentioned with americans (13 documents)","role":"co-mentioned","relationKind":"co-mentioned","members":2,"id":"sb:r/c1a54cebf36e5af35e65b93b"},{"kind":"relation","label":"co-mentioned with china (13 documents)","role":"co-mentioned","relationKind":"co-mentioned","members":2,"id":"sb:r/854beb093bc3c35fe281b081"},{"kind":"relation","label":"co-mentioned with s&p 500 (13 documents)","role":"co-mentioned","relationKind":"co-mentioned","members":2,"id":"sb:r/e87cd6071a458aaf0bb53726"},{"kind":"relation","label":"co-mentioned with meta (12 documents)","role":"co-mentioned","relationKind":"co-mentioned","members":2,"id":"sb:r/6f39b747c7f7a0ab9e7e7520"}],"cursor":null,"order":"situations first, then claims (the subject's own maintained record, then site-wide corroborated clusters; each label ends with its standing), then co-mentions by shared documents, descending. Co-mentions are the ten strongest the entity graph keeps per entity"},"edge":{"state":"continues"},"links":{"rest":"/api/v1/node/e/e15d47f40649ccfab2aead67","mcp":"traverse {\"id\":\"sb:e/e15d47f40649ccfab2aead67\"}","page":"/entity/corporate-america/"},"limits":{"levelsPerCall":1,"pageSize":10,"maxPageSize":50,"membersMax":50,"statement":"One level per call: depth is 1 and only 1, and there is no whole-graph dump. pageSize 1-50 (default 10); a page limit is a cursor, never an edge. Members are listed up to 50. At most 60 traverse calls a minute per caller (runaway-loop protection, not a meter). One knowledge cutoff is served: the deploy's."},"actions":[{"verb":"unfold","lit":true,"effect":"read","layer":"free-record","call":"traverse {\"id\":\"sb:e/e15d47f40649ccfab2aead67\",\"level\":\"children\"}"},{"verb":"fold","lit":true,"effect":"read","layer":"free-record","call":"traverse {\"id\":\"sb:e/e15d47f40649ccfab2aead67\"}"},{"verb":"panOut","lit":false,"effect":"read","layer":"free-record","reason":"An entity is a root: it is contained by nothing. Pan out by following R."},{"verb":"follow","lit":true,"effect":"read","layer":"free-record","call":"traverse {\"id\":\"sb:e/e15d47f40649ccfab2aead67\",\"level\":\"relations\"}"},{"verb":"receipts","lit":false,"effect":"read","layer":"free-record","reason":"receipts are the observations below this node; unfold to reach them"},{"verb":"edge","lit":true,"effect":"read","layer":"free-record","call":"traverse {\"id\":\"sb:e/e15d47f40649ccfab2aead67\"}"},{"verb":"asOf","lit":false,"effect":"read","layer":"free-record","reason":"v1 serves one knowledge cutoff, this deploy's; walking an earlier cutoff needs retained history, which v1 does not keep"},{"verb":"switchObserver","lit":false,"effect":"read","layer":"free-record","reason":"the public record is the same for every observer; traversal through a Watch's lens is not served in v1"},{"verb":"readOriginal","lit":false,"effect":"read","layer":"free-record","reason":"no translation is applied on this node; every label is the source's own text"},{"verb":"save","lit":false,"effect":"watch-declaration","layer":"watch","reason":"saving applies to a configured Watch; configure one around this node first (free), then save it"},{"verb":"deliver","lit":false,"effect":"watch-declaration","layer":"watch","reason":"delivery applies to a saved Watch"},{"verb":"format","lit":false,"effect":"watch-declaration","layer":"watch","reason":"output format applies to a saved Watch"},{"verb":"deltaR","lit":false,"effect":"read","layer":"watch","reason":"Delta R needs a saved Watch with a previous reading"},{"verb":"read","lit":false,"effect":"read","layer":"one-time-read","reason":"one-time Reads are not offered through this door; use ask"}]}