{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:YY4UVKZWWBWBVLXPEV52QQPXYC","short_pith_number":"pith:YY4UVKZW","canonical_record":{"source":{"id":"2404.19429","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-04-30T10:17:21Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"4c6a7ba1498591e9fb1fa069262ae2a29e52277f5c8fa051be1b2c88f7a1914a","abstract_canon_sha256":"6c4a37525e4e5e2942d8c32636547841a3579f5d278af0f08ece275ccfe64036"},"schema_version":"1.0"},"canonical_sha256":"c6394aab36b06c1aaeef257ba841f7c0aeb6f5161c086cd9efb1469c50dd8c2b","source":{"kind":"arxiv","id":"2404.19429","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.19429","created_at":"2026-07-05T08:13:43Z"},{"alias_kind":"arxiv_version","alias_value":"2404.19429v1","created_at":"2026-07-05T08:13:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.19429","created_at":"2026-07-05T08:13:43Z"},{"alias_kind":"pith_short_12","alias_value":"YY4UVKZWWBWB","created_at":"2026-07-05T08:13:43Z"},{"alias_kind":"pith_short_16","alias_value":"YY4UVKZWWBWBVLXP","created_at":"2026-07-05T08:13:43Z"},{"alias_kind":"pith_short_8","alias_value":"YY4UVKZW","created_at":"2026-07-05T08:13:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:YY4UVKZWWBWBVLXPEV52QQPXYC","target":"record","payload":{"canonical_record":{"source":{"id":"2404.19429","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-04-30T10:17:21Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"4c6a7ba1498591e9fb1fa069262ae2a29e52277f5c8fa051be1b2c88f7a1914a","abstract_canon_sha256":"6c4a37525e4e5e2942d8c32636547841a3579f5d278af0f08ece275ccfe64036"},"schema_version":"1.0"},"canonical_sha256":"c6394aab36b06c1aaeef257ba841f7c0aeb6f5161c086cd9efb1469c50dd8c2b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:13:43.650475Z","signature_b64":"0cxoDmicpS+ZPf3xkfFyEwwr4vA0RT6YXR6htW6D0vL4DFnXcuxEzvnWBjCzCULRSbn9H0pHtNWy+6FdmSzXBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c6394aab36b06c1aaeef257ba841f7c0aeb6f5161c086cd9efb1469c50dd8c2b","last_reissued_at":"2026-07-05T08:13:43.649942Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:13:43.649942Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.19429","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:13:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nENbqDyaRTEdDolegco+AlM/4fmDhohAlLoZkm2rDQFr3VGBoaNayvqhNbrwl+EJIKceda6mWmeuJwyU3dT9AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T04:13:23.727392Z"},"content_sha256":"e8da60c77afb3c0801edb9f8744d98bb4873b9220c050e7d52a99755c4c63bf5","schema_version":"1.0","event_id":"sha256:e8da60c77afb3c0801edb9f8744d98bb4873b9220c050e7d52a99755c4c63bf5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:YY4UVKZWWBWBVLXPEV52QQPXYC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Lancet: Accelerating Mixture-of-Experts Training via Whole Graph Computation-Communication Overlapping","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.DC","authors_text":"Chenyu Jiang, Chuan Wu, Shuai Zheng, Ye Tian, Yida Wang, Zhen Jia","submitted_at":"2024-04-30T10:17:21Z","abstract_excerpt":"The Mixture-of-Expert (MoE) technique plays a crucial role in expanding the size of DNN model parameters. However, it faces the challenge of extended all-to-all communication latency during the training process. Existing methods attempt to mitigate this issue by overlapping all-to-all with expert computation. Yet, these methods frequently fall short of achieving sufficient overlap, consequently restricting the potential for performance enhancements. In our study, we extend the scope of this challenge by considering overlap at the broader training graph level. During the forward pass, we enable"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.19429","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2404.19429/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:13:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UHeeLjeRRLdARKKvs0xjD9Ej6O8P9RbeAYI2eQcCYJDkW0YWPs+Y4xFFtywXObJO2f/gbEqq46nwkFCi5kAcDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T04:13:23.727779Z"},"content_sha256":"6742d4d55a120b39d637976ddb070299a1fe048ff070efcac123127433aa3dd7","schema_version":"1.0","event_id":"sha256:6742d4d55a120b39d637976ddb070299a1fe048ff070efcac123127433aa3dd7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YY4UVKZWWBWBVLXPEV52QQPXYC/bundle.json","state_url":"https://pith.science/pith/YY4UVKZWWBWBVLXPEV52QQPXYC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YY4UVKZWWBWBVLXPEV52QQPXYC/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-26T04:13:23Z","links":{"resolver":"https://pith.science/pith/YY4UVKZWWBWBVLXPEV52QQPXYC","bundle":"https://pith.science/pith/YY4UVKZWWBWBVLXPEV52QQPXYC/bundle.json","state":"https://pith.science/pith/YY4UVKZWWBWBVLXPEV52QQPXYC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YY4UVKZWWBWBVLXPEV52QQPXYC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YY4UVKZWWBWBVLXPEV52QQPXYC","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":"6c4a37525e4e5e2942d8c32636547841a3579f5d278af0f08ece275ccfe64036","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-04-30T10:17:21Z","title_canon_sha256":"4c6a7ba1498591e9fb1fa069262ae2a29e52277f5c8fa051be1b2c88f7a1914a"},"schema_version":"1.0","source":{"id":"2404.19429","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.19429","created_at":"2026-07-05T08:13:43Z"},{"alias_kind":"arxiv_version","alias_value":"2404.19429v1","created_at":"2026-07-05T08:13:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.19429","created_at":"2026-07-05T08:13:43Z"},{"alias_kind":"pith_short_12","alias_value":"YY4UVKZWWBWB","created_at":"2026-07-05T08:13:43Z"},{"alias_kind":"pith_short_16","alias_value":"YY4UVKZWWBWBVLXP","created_at":"2026-07-05T08:13:43Z"},{"alias_kind":"pith_short_8","alias_value":"YY4UVKZW","created_at":"2026-07-05T08:13:43Z"}],"graph_snapshots":[{"event_id":"sha256:6742d4d55a120b39d637976ddb070299a1fe048ff070efcac123127433aa3dd7","target":"graph","created_at":"2026-07-05T08:13:43Z","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/2404.19429/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The Mixture-of-Expert (MoE) technique plays a crucial role in expanding the size of DNN model parameters. However, it faces the challenge of extended all-to-all communication latency during the training process. Existing methods attempt to mitigate this issue by overlapping all-to-all with expert computation. Yet, these methods frequently fall short of achieving sufficient overlap, consequently restricting the potential for performance enhancements. In our study, we extend the scope of this challenge by considering overlap at the broader training graph level. During the forward pass, we enable","authors_text":"Chenyu Jiang, Chuan Wu, Shuai Zheng, Ye Tian, Yida Wang, Zhen Jia","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-04-30T10:17:21Z","title":"Lancet: Accelerating Mixture-of-Experts Training via Whole Graph Computation-Communication Overlapping"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.19429","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:e8da60c77afb3c0801edb9f8744d98bb4873b9220c050e7d52a99755c4c63bf5","target":"record","created_at":"2026-07-05T08:13:43Z","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":"6c4a37525e4e5e2942d8c32636547841a3579f5d278af0f08ece275ccfe64036","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-04-30T10:17:21Z","title_canon_sha256":"4c6a7ba1498591e9fb1fa069262ae2a29e52277f5c8fa051be1b2c88f7a1914a"},"schema_version":"1.0","source":{"id":"2404.19429","kind":"arxiv","version":1}},"canonical_sha256":"c6394aab36b06c1aaeef257ba841f7c0aeb6f5161c086cd9efb1469c50dd8c2b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c6394aab36b06c1aaeef257ba841f7c0aeb6f5161c086cd9efb1469c50dd8c2b","first_computed_at":"2026-07-05T08:13:43.649942Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:13:43.649942Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0cxoDmicpS+ZPf3xkfFyEwwr4vA0RT6YXR6htW6D0vL4DFnXcuxEzvnWBjCzCULRSbn9H0pHtNWy+6FdmSzXBw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:13:43.650475Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.19429","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e8da60c77afb3c0801edb9f8744d98bb4873b9220c050e7d52a99755c4c63bf5","sha256:6742d4d55a120b39d637976ddb070299a1fe048ff070efcac123127433aa3dd7"],"state_sha256":"22fe59b19a7b1e3c228db90e4c5b8e99053de7f0e595a939e03a872fcb0c2faa"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GWnjne9HqvmUysM4qI0o2knxrcOeTeJNscLNRmQdGuFZ/0mwfVhrdZba3BIwM2ZqJSZfp2XU3tE/ud/9Yhe/Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-26T04:13:23.730560Z","bundle_sha256":"f819b98c5425d97e1811dc1f6c5f8215577bd416e0581a45b4d9e1677d5ea038"}}