{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:T3YTLRY7KMENON7GG37S6IEDFH","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":"5d31d34226a036c424316be5c65e3dc02eb1fc5810131b1522aca0be106275a2","cross_cats_sorted":["cs.AR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-22T15:11:13Z","title_canon_sha256":"b9d4d7ba5d2ebe0b5692ce457465ff65588f95f42445cf540768f71a947e3ef7"},"schema_version":"1.0","source":{"id":"2507.16676","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.16676","created_at":"2026-07-05T11:41:28Z"},{"alias_kind":"arxiv_version","alias_value":"2507.16676v1","created_at":"2026-07-05T11:41:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.16676","created_at":"2026-07-05T11:41:28Z"},{"alias_kind":"pith_short_12","alias_value":"T3YTLRY7KMEN","created_at":"2026-07-05T11:41:28Z"},{"alias_kind":"pith_short_16","alias_value":"T3YTLRY7KMENON7G","created_at":"2026-07-05T11:41:28Z"},{"alias_kind":"pith_short_8","alias_value":"T3YTLRY7","created_at":"2026-07-05T11:41:28Z"}],"graph_snapshots":[{"event_id":"sha256:0cbf9b3468716acd1dc4d113423103466a40d607a50cf3ce2f5a8c8f22dba1c2","target":"graph","created_at":"2026-07-05T11:41:28Z","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/2507.16676/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Transformers and large language models (LLMs), powered by the attention mechanism, have transformed numerous AI applications, driving the need for specialized hardware accelerators. A major challenge in these accelerators is efficiently detecting errors caused by random hardware faults. Traditional algorithm-based fault tolerance (ABFT) techniques verify individual matrix multiplications but fall short in handling the full attention mechanism, particularly due to intermediate softmax normalization. This work proposes Flash-ABFT, a novel method that computes an online checksum across the entire","authors_text":"Giorgos Dimitrakopoulos, Kosmas Alexandridis, Vasileios Titopoulos","cross_cats":["cs.AR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-22T15:11:13Z","title":"Custom Algorithm-based Fault Tolerance for Attention Layers in Transformers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.16676","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":"sha256:75eb23fe1d15f321c319f32f650ecbca6cc37127727c8330c4ed191ae437bcbf","target":"record","created_at":"2026-07-05T11:41:28Z","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":"5d31d34226a036c424316be5c65e3dc02eb1fc5810131b1522aca0be106275a2","cross_cats_sorted":["cs.AR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-22T15:11:13Z","title_canon_sha256":"b9d4d7ba5d2ebe0b5692ce457465ff65588f95f42445cf540768f71a947e3ef7"},"schema_version":"1.0","source":{"id":"2507.16676","kind":"arxiv","version":1}},"canonical_sha256":"9ef135c71f5308d737e636ff2f208329d5970a3baf0855c80e934291e027e335","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9ef135c71f5308d737e636ff2f208329d5970a3baf0855c80e934291e027e335","first_computed_at":"2026-07-05T11:41:28.963772Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:41:28.963772Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wtbrdyvwOtAMkYJjp434/jq8iy4nkuWx8g8icRwaFsZln2KVjOa4wfaaDxMP6wk44xHyotB0FjbQ6qhTcb7gAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:41:28.964234Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.16676","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:75eb23fe1d15f321c319f32f650ecbca6cc37127727c8330c4ed191ae437bcbf","sha256:0cbf9b3468716acd1dc4d113423103466a40d607a50cf3ce2f5a8c8f22dba1c2"],"state_sha256":"d4e327e4ddb9effcdaa072713fc39c28ee02d648627963fbc784039e89621af3"}