{"schema":"sb.node.v1","id":"sb:e/b3827d4e1b1640e469fdb26a","kind":"entity","label":{"text":"pytorch","locale":"en"},"identity":{"anchor":"label:en:pytorch","strength":"label"},"asOf":{"knowledgeCutoff":"2026-10-06T14:59:38.550729+00:00","snapshot":"deploy d24d0083c364efac0c7a986b84521060def7f044"},"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":45,"separatePublishers":25,"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"},"admission":{"state":"provisional","reason":"entity graph provenance 'observed'; the node carries no promotion receipt in v1","policy":"EQ-PROMOTION (receipt not carried)"},"disposition":{"state":"served","reason":"public record"},"validity":{"from":"2026-04-26","to":"2026-10-05","basis":"first and last day we saw it mentioned; not the subject's own lifetime"},"measurement":{"state":"partial","blind":["assertion coverage 0.022: about 98% of mentions carry no typed assertion"]}},"dimensions":{"domains":["auto","artificial_intelligence","cloud_computing"],"activeDays":23,"assertions":{}},"up":[],"upNote":"An entity is a root: it is contained by nothing. Pan out by following R.","children":{"count":12,"byKind":{"observation":12},"items":[{"id":"sb:o/3fb49879a82c29e3352f328e","kind":"observation","label":"Quantum Zeitgeist · 2026-10-05 · NVIDIA DGX Spark gets 64GB memory option for local AI work","url":"https://quantumzeitgeist.com/dgx-spark-64gb-nvidia-gets/"},{"id":"sb:o/786765ea6d27deb37c240eb3","kind":"observation","label":"Memeburn · 2026-10-05 · Machine Learning Statistics 2026: The Complete Data Roundup","url":"https://memeburn.com/machine-learning-statistics/"},{"id":"sb:o/42e3118c0edb159566df20db","kind":"observation","label":"Tech Times :: Latest News · 2026-10-03 · Competing Bid Forces onsemi to Rewrite Synaptics Deal: $1.3B Less, All Cash","url":"https://www.techtimes.com/articles/328498/20261002/competing-bid-forces-onsemi-rewrite-synaptics-deal-13b-less-all-cash.htm"},{"id":"sb:o/acc6f2bbbec03c17634a9f19","kind":"observation","label":"analyticsinsight · 2026-10-03 · 10 Free Generative AI Courses to Take Online in 2026","url":"https://www.analyticsinsight.net/artificial-intelligence/10-free-generative-ai-courses-to-take-online-in-2026"},{"id":"sb:o/cca95b389adae586a65ea51a","kind":"observation","label":"analyticsinsight · 2026-10-02 · DeepSeek-Huawei AI Deal: 9 Ways China is Building an Alternative to Nvidia’s Ecosystem","url":"https://www.analyticsinsight.net/ampstories/artificial-intelligence/deepseek-huawei-ai-deal-9-ways-china-is-building-an-alternative-to-nvidias-ecosystem"},{"id":"sb:o/c221aa2e4a0b06680b11f81d","kind":"observation","label":"Latent Space · 2026-10-02 · Academia is for Ambition — Alex Zhang, MIT","url":"https://www.latent.space/p/rlm"},{"id":"sb:o/8a217621110ffd3e629eb1ec","kind":"observation","label":"The Hindu: Latest News today from India and the World, Breaking news, Top Headli · 2026-09-30 · News from the world of Education: September 30, 2026","url":"https://www.thehindu.com/education/news-from-the-world-of-education-september-30-2026/article71527627.ece"},{"id":"sb:o/da50b7408a59febe4fdfd1c8","kind":"observation","label":"Tech Times :: Latest News · 2026-09-30 · GMKtec Evo-X5 Pro Ships with 192GB RAM: China Law Requires Data Cooperation","url":"https://www.techtimes.com/articles/328257/20260930/gmktec-evo-x5-pro-ships-192gb-ram-china-law-requires-data-cooperation.htm"},{"id":"sb:o/4804c12e4086d64e05db19d7","kind":"observation","label":"Startup Fortune · 2026-09-30 · DeepSeek open sources chip tools that could let Huawei replace Nvidia in China","url":"https://startupfortune.com/deepseek-open-sources-chip-tools-that-could-let-huawei-replace-nvidia-in-china/"},{"id":"sb:o/c6e93e265eec9f8bdd5c3ea5","kind":"observation","label":"Latent Space · 2026-09-29 · [AINews] Opus 5.5 is good at explainer videos","url":"https://www.latent.space/p/ainews-opus-55-is-good-at-explainer"}],"cursor":"c1.eyJpZCI6InNiOmUvYjM4MjdkNGUxYjE2NDBlNDY5ZmRiMjZhIiwibCI6ImNoaWxkcmVuIiwibyI6MTAsImsiOm51bGwsImEiOiIyMDI2LTEwLTA2VDE0OjU5OjM4LjU1MDcyOSswMDowMCJ9","order":"newest first; we keep the 12 newest receipts for this entity. 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 (37 documents)","role":"co-mentioned","relationKind":"co-mentioned","members":2,"id":"sb:r/f0dd8d0758a4950fc223b83c"},{"kind":"relation","label":"co-mentioned with openai (17 documents)","role":"co-mentioned","relationKind":"co-mentioned","members":2,"id":"sb:r/b0b67b5f3efa122853045771"},{"kind":"relation","label":"co-mentioned with github (16 documents)","role":"co-mentioned","relationKind":"co-mentioned","members":2,"id":"sb:r/b73489a058f18c5fd9d20773"},{"kind":"relation","label":"co-mentioned with china (15 documents)","role":"co-mentioned","relationKind":"co-mentioned","members":2,"id":"sb:r/a20ce3987480665f461de506"},{"kind":"relation","label":"co-mentioned with nvidia (15 documents)","role":"co-mentioned","relationKind":"co-mentioned","members":2,"id":"sb:r/b3442e88f5f923574e289b60"},{"kind":"relation","label":"co-mentioned with google (14 documents)","role":"co-mentioned","relationKind":"co-mentioned","members":2,"id":"sb:r/cf20dfddfa8941df49ca2f33"},{"kind":"relation","label":"co-mentioned with size (14 documents)","role":"co-mentioned","relationKind":"co-mentioned","members":2,"id":"sb:r/e293c8522d640bba583e27de"},{"kind":"relation","label":"co-mentioned with cuda (13 documents)","role":"co-mentioned","relationKind":"co-mentioned","members":2,"id":"sb:r/5f569e1df08df06e69d5c664"},{"kind":"relation","label":"co-mentioned with anthropic (12 documents)","role":"co-mentioned","relationKind":"co-mentioned","members":2,"id":"sb:r/e8e809cc7f4e6707517b3ee4"},{"kind":"relation","label":"co-mentioned with gpus (11 documents)","role":"co-mentioned","relationKind":"co-mentioned","members":2,"id":"sb:r/48d8f419d0663e750c305445"}],"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/b3827d4e1b1640e469fdb26a","mcp":"traverse {\"id\":\"sb:e/b3827d4e1b1640e469fdb26a\"}","page":"/entity/pytorch/"},"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":"cantina","call":"traverse {\"id\":\"sb:e/b3827d4e1b1640e469fdb26a\",\"level\":\"children\"}"},{"verb":"fold","lit":true,"effect":"read","layer":"cantina","call":"traverse {\"id\":\"sb:e/b3827d4e1b1640e469fdb26a\"}"},{"verb":"panOut","lit":false,"effect":"read","layer":"cantina","reason":"An entity is a root: it is contained by nothing. Pan out by following R."},{"verb":"follow","lit":true,"effect":"read","layer":"cantina","call":"traverse {\"id\":\"sb:e/b3827d4e1b1640e469fdb26a\",\"level\":\"relations\"}"},{"verb":"receipts","lit":false,"effect":"read","layer":"cantina","reason":"receipts are the observations below this node; unfold to reach them"},{"verb":"edge","lit":true,"effect":"read","layer":"cantina","call":"traverse {\"id\":\"sb:e/b3827d4e1b1640e469fdb26a\"}"},{"verb":"asOf","lit":false,"effect":"read","layer":"cantina","reason":"v1 serves one knowledge cutoff, this deploy's; walking an earlier cutoff needs retained history (EQ-REPLAY), which v1 does not keep"},{"verb":"switchObserver","lit":false,"effect":"read","layer":"cantina","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":"cantina","reason":"no translation is applied on this node; every label is the source's own text"},{"verb":"save","lit":false,"effect":"watch-declaration","layer":"workshop","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":"workshop","reason":"delivery applies to a saved Watch"},{"verb":"format","lit":false,"effect":"watch-declaration","layer":"workshop","reason":"output format applies to a saved Watch"},{"verb":"deltaR","lit":false,"effect":"read","layer":"workshop","reason":"Delta R needs a saved Watch with a previous reading"},{"verb":"read","lit":false,"effect":"read","layer":"docking-bay","reason":"one-time Reads are parked until the Commander decides their shape (#938)"}]}