{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:K5V2SDCYFA22IK6L227ADDLFZF","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":"233c70fe132fc0f3d40ddcae25bfc0f7ffb5bf4c81f844d8cfac8997f555d83a","cross_cats_sorted":["cs.DC","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2014-04-23T22:37:56Z","title_canon_sha256":"abd3f11ce3817e84b24de60b49e64054f65a1370c3964b4c209bd82d3cb0c5a0"},"schema_version":"1.0","source":{"id":"1404.5997","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1404.5997","created_at":"2026-05-18T02:53:06Z"},{"alias_kind":"arxiv_version","alias_value":"1404.5997v2","created_at":"2026-05-18T02:53:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1404.5997","created_at":"2026-05-18T02:53:06Z"},{"alias_kind":"pith_short_12","alias_value":"K5V2SDCYFA22","created_at":"2026-05-18T12:28:35Z"},{"alias_kind":"pith_short_16","alias_value":"K5V2SDCYFA22IK6L","created_at":"2026-05-18T12:28:35Z"},{"alias_kind":"pith_short_8","alias_value":"K5V2SDCY","created_at":"2026-05-18T12:28:35Z"}],"graph_snapshots":[{"event_id":"sha256:a209d0857d3476241f41d30e46c2734adf80bf841701165fc5ee99950cd6d453","target":"graph","created_at":"2026-05-18T02:53:06Z","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"},"paper":{"abstract_excerpt":"I present a new way to parallelize the training of convolutional neural networks across multiple GPUs. The method scales significantly better than all alternatives when applied to modern convolutional neural networks.","authors_text":"Alex Krizhevsky","cross_cats":["cs.DC","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2014-04-23T22:37:56Z","title":"One weird trick for parallelizing convolutional neural networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1404.5997","kind":"arxiv","version":2},"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":"sha256:6d19e9a8a4e322cfe5241aa5cb934a4636d339744d238dc9972f1cb21701ac85","target":"record","created_at":"2026-05-18T02:53:06Z","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":"233c70fe132fc0f3d40ddcae25bfc0f7ffb5bf4c81f844d8cfac8997f555d83a","cross_cats_sorted":["cs.DC","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2014-04-23T22:37:56Z","title_canon_sha256":"abd3f11ce3817e84b24de60b49e64054f65a1370c3964b4c209bd82d3cb0c5a0"},"schema_version":"1.0","source":{"id":"1404.5997","kind":"arxiv","version":2}},"canonical_sha256":"576ba90c582835a42bcbd6be018d65c9522037e397e8e41f53e7eda0a050b064","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"576ba90c582835a42bcbd6be018d65c9522037e397e8e41f53e7eda0a050b064","first_computed_at":"2026-05-18T02:53:06.868135Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:53:06.868135Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vm41HYNZzGPxMHbDQaCzNP6DlFRLnrzzvn1NPeCC8segoG/DB4SqLHxf0klchR9+ehleRoPliMQEvNramsT2CQ==","signature_status":"signed_v1","signed_at":"2026-05-18T02:53:06.868744Z","signed_message":"canonical_sha256_bytes"},"source_id":"1404.5997","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6d19e9a8a4e322cfe5241aa5cb934a4636d339744d238dc9972f1cb21701ac85","sha256:a209d0857d3476241f41d30e46c2734adf80bf841701165fc5ee99950cd6d453"],"state_sha256":"8583417fd61acabccaf217602e22994a73f33656ac0603f9cf12a7e8b8d15c18"}