{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:A7TKVI2IPBOTV26LRRJKPZ7Z4X","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"88f58b89e853ae0c29f02d803cd8966cf7d786e72b251c26823af1d1e0d2d960","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2025-03-11T22:57:42Z","title_canon_sha256":"cd7a41638b6a1b0d80974d9986c003e38f25fcff7968e0e74d7ed69565d25121"},"schema_version":"1.0","source":{"id":"2503.11698","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.11698","created_at":"2026-07-05T10:31:58Z"},{"alias_kind":"arxiv_version","alias_value":"2503.11698v1","created_at":"2026-07-05T10:31:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.11698","created_at":"2026-07-05T10:31:58Z"},{"alias_kind":"pith_short_12","alias_value":"A7TKVI2IPBOT","created_at":"2026-07-05T10:31:58Z"},{"alias_kind":"pith_short_16","alias_value":"A7TKVI2IPBOTV26L","created_at":"2026-07-05T10:31:58Z"},{"alias_kind":"pith_short_8","alias_value":"A7TKVI2I","created_at":"2026-07-05T10:31:58Z"}],"graph_snapshots":[{"event_id":"sha256:09f3572dd342119e4e0885e4fd5ec524be26310af5390e5e343bc123c06d4e8a","target":"graph","created_at":"2026-07-05T10:31:58Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2503.11698/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cerebras' wafer-scale engine (WSE) technology merges multiple dies on a single wafer. It addresses the challenges of memory bandwidth, latency, and scalability, making it suitable for artificial intelligence. This work evaluates the WSE-3 architecture and compares it with leading GPU-based AI accelerators, notably Nvidia's H100 and B200. The work highlights the advantages of WSE-3 in performance per watt and memory scalability and provides insights into the challenges in manufacturing, thermal management, and reliability. The results suggest that wafer-scale integration can surpass conventiona","authors_text":"Kriti Kumar, Manish Arora, Manroop Kaur, Pushpanjali Kumari, Tripty Wig, Vivek Puri, Yudhishthira Kundu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2025-03-11T22:57:42Z","title":"A Comparison of the Cerebras Wafer-Scale Integration Technology with Nvidia GPU-based Systems for Artificial Intelligence"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.11698","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:9ab75a04dace6c1c74339bf4602854725968092f4982d53991e30fcd5bc2cf9b","target":"record","created_at":"2026-07-05T10:31:58Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"88f58b89e853ae0c29f02d803cd8966cf7d786e72b251c26823af1d1e0d2d960","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2025-03-11T22:57:42Z","title_canon_sha256":"cd7a41638b6a1b0d80974d9986c003e38f25fcff7968e0e74d7ed69565d25121"},"schema_version":"1.0","source":{"id":"2503.11698","kind":"arxiv","version":1}},"canonical_sha256":"07e6aaa348785d3aebcb8c52a7e7f9e5cb5c73a7761089c38196f2af5ae313e2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"07e6aaa348785d3aebcb8c52a7e7f9e5cb5c73a7761089c38196f2af5ae313e2","first_computed_at":"2026-07-05T10:31:58.282978Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:31:58.282978Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7juntm7jT7n0xlJpYN+M+ixhHaoKbsLPjWk35c7QfLGM3WHZ96zOm736PWsm6AK9Pw/XdD5naLetEZhUq8KdBw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:31:58.283865Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.11698","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9ab75a04dace6c1c74339bf4602854725968092f4982d53991e30fcd5bc2cf9b","sha256:09f3572dd342119e4e0885e4fd5ec524be26310af5390e5e343bc123c06d4e8a"],"state_sha256":"2caa17ae31a9a3c714deebe6494ba66f9fff55e379b6715e6a25047623903119"}