{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:UUA4CEJ53EH5X36T2DPLYBYZQR","short_pith_number":"pith:UUA4CEJ5","canonical_record":{"source":{"id":"2408.08586","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-08-16T07:41:52Z","cross_cats_sorted":[],"title_canon_sha256":"f0ef24d3171a7a1d640b332dc7585cbe1a48f27e0fe1745a5f8d0095606f5d30","abstract_canon_sha256":"27eb34d148b736e88ae39562373744f99f48bc64eabf51404e4a5fc7c5db1556"},"schema_version":"1.0"},"canonical_sha256":"a501c1113dd90fdbefd3d0debc0719844b5088869a56e30fdcb5679c6be61594","source":{"kind":"arxiv","id":"2408.08586","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.08586","created_at":"2026-07-05T08:55:57Z"},{"alias_kind":"arxiv_version","alias_value":"2408.08586v1","created_at":"2026-07-05T08:55:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.08586","created_at":"2026-07-05T08:55:57Z"},{"alias_kind":"pith_short_12","alias_value":"UUA4CEJ53EH5","created_at":"2026-07-05T08:55:57Z"},{"alias_kind":"pith_short_16","alias_value":"UUA4CEJ53EH5X36T","created_at":"2026-07-05T08:55:57Z"},{"alias_kind":"pith_short_8","alias_value":"UUA4CEJ5","created_at":"2026-07-05T08:55:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:UUA4CEJ53EH5X36T2DPLYBYZQR","target":"record","payload":{"canonical_record":{"source":{"id":"2408.08586","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-08-16T07:41:52Z","cross_cats_sorted":[],"title_canon_sha256":"f0ef24d3171a7a1d640b332dc7585cbe1a48f27e0fe1745a5f8d0095606f5d30","abstract_canon_sha256":"27eb34d148b736e88ae39562373744f99f48bc64eabf51404e4a5fc7c5db1556"},"schema_version":"1.0"},"canonical_sha256":"a501c1113dd90fdbefd3d0debc0719844b5088869a56e30fdcb5679c6be61594","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:55:57.077022Z","signature_b64":"xX65hyeILe9tCT/X1m3ssG+zzordO6AUeFuJZ8mRUCNtwQxP/Y7+NSf1o7SELjYHsa+dwsYPPLSFKGF3kO93Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a501c1113dd90fdbefd3d0debc0719844b5088869a56e30fdcb5679c6be61594","last_reissued_at":"2026-07-05T08:55:57.076573Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:55:57.076573Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.08586","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":"2026-07-05T08:55:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DOzRywYibVEyuWxYov9DK3wYgueIAw8/jANILCjc4OU8DKo8Ke0xpI2GvRi4kX2wTb7g88PeL3HJPWyMRK5JBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T19:32:35.400092Z"},"content_sha256":"b0f9db1b0a1e57cf8a81b574bd023b21540c7b1287c3f37477a27d75b331e67f","schema_version":"1.0","event_id":"sha256:b0f9db1b0a1e57cf8a81b574bd023b21540c7b1287c3f37477a27d75b331e67f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:UUA4CEJ53EH5X36T2DPLYBYZQR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Rubick: Exploiting Job Reconfigurability for Deep Learning Cluster Scheduling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Fangming Liu, Fei Xu, Hanyu Zhao, Wei Lin, Wencong Xiao, Xianyan Jia, Xinyi Zhang, Yong Li","submitted_at":"2024-08-16T07:41:52Z","abstract_excerpt":"The era of large deep learning models has given rise to advanced training strategies such as 3D parallelism and the ZeRO series. These strategies enable various (re-)configurable execution plans for a training job, which exhibit remarkably different requirements of multiple resource types. Existing cluster scheduling systems, however, treat such reconfigurable training jobs as black boxes: they rely on users to choose execution plans statically, and then make resource allocations without awareness of the chosen plans and their resource requirements. This approach results in mismatches between "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.08586","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/2408.08586/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":"2026-07-05T08:55:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eJ/6bCo32fVLd5AeRW9duMLFlfP7I4sud6XgB7kzrN0O+v7fb2+NwTGJh27d9ez20TEnMO1bdiKyzEE2iLMLCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T19:32:35.400987Z"},"content_sha256":"ef046badad48628467d7c47ad16586eacddd6de23b2b3a20eb0e6bc9983ef8eb","schema_version":"1.0","event_id":"sha256:ef046badad48628467d7c47ad16586eacddd6de23b2b3a20eb0e6bc9983ef8eb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UUA4CEJ53EH5X36T2DPLYBYZQR/bundle.json","state_url":"https://pith.science/pith/UUA4CEJ53EH5X36T2DPLYBYZQR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UUA4CEJ53EH5X36T2DPLYBYZQR/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":"2026-08-19T19:32:35Z","links":{"resolver":"https://pith.science/pith/UUA4CEJ53EH5X36T2DPLYBYZQR","bundle":"https://pith.science/pith/UUA4CEJ53EH5X36T2DPLYBYZQR/bundle.json","state":"https://pith.science/pith/UUA4CEJ53EH5X36T2DPLYBYZQR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UUA4CEJ53EH5X36T2DPLYBYZQR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:UUA4CEJ53EH5X36T2DPLYBYZQR","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":"27eb34d148b736e88ae39562373744f99f48bc64eabf51404e4a5fc7c5db1556","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-08-16T07:41:52Z","title_canon_sha256":"f0ef24d3171a7a1d640b332dc7585cbe1a48f27e0fe1745a5f8d0095606f5d30"},"schema_version":"1.0","source":{"id":"2408.08586","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.08586","created_at":"2026-07-05T08:55:57Z"},{"alias_kind":"arxiv_version","alias_value":"2408.08586v1","created_at":"2026-07-05T08:55:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.08586","created_at":"2026-07-05T08:55:57Z"},{"alias_kind":"pith_short_12","alias_value":"UUA4CEJ53EH5","created_at":"2026-07-05T08:55:57Z"},{"alias_kind":"pith_short_16","alias_value":"UUA4CEJ53EH5X36T","created_at":"2026-07-05T08:55:57Z"},{"alias_kind":"pith_short_8","alias_value":"UUA4CEJ5","created_at":"2026-07-05T08:55:57Z"}],"graph_snapshots":[{"event_id":"sha256:ef046badad48628467d7c47ad16586eacddd6de23b2b3a20eb0e6bc9983ef8eb","target":"graph","created_at":"2026-07-05T08:55:57Z","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/2408.08586/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The era of large deep learning models has given rise to advanced training strategies such as 3D parallelism and the ZeRO series. These strategies enable various (re-)configurable execution plans for a training job, which exhibit remarkably different requirements of multiple resource types. Existing cluster scheduling systems, however, treat such reconfigurable training jobs as black boxes: they rely on users to choose execution plans statically, and then make resource allocations without awareness of the chosen plans and their resource requirements. This approach results in mismatches between ","authors_text":"Fangming Liu, Fei Xu, Hanyu Zhao, Wei Lin, Wencong Xiao, Xianyan Jia, Xinyi Zhang, Yong Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-08-16T07:41:52Z","title":"Rubick: Exploiting Job Reconfigurability for Deep Learning Cluster Scheduling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.08586","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:b0f9db1b0a1e57cf8a81b574bd023b21540c7b1287c3f37477a27d75b331e67f","target":"record","created_at":"2026-07-05T08:55:57Z","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":"27eb34d148b736e88ae39562373744f99f48bc64eabf51404e4a5fc7c5db1556","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-08-16T07:41:52Z","title_canon_sha256":"f0ef24d3171a7a1d640b332dc7585cbe1a48f27e0fe1745a5f8d0095606f5d30"},"schema_version":"1.0","source":{"id":"2408.08586","kind":"arxiv","version":1}},"canonical_sha256":"a501c1113dd90fdbefd3d0debc0719844b5088869a56e30fdcb5679c6be61594","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a501c1113dd90fdbefd3d0debc0719844b5088869a56e30fdcb5679c6be61594","first_computed_at":"2026-07-05T08:55:57.076573Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:55:57.076573Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xX65hyeILe9tCT/X1m3ssG+zzordO6AUeFuJZ8mRUCNtwQxP/Y7+NSf1o7SELjYHsa+dwsYPPLSFKGF3kO93Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:55:57.077022Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.08586","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b0f9db1b0a1e57cf8a81b574bd023b21540c7b1287c3f37477a27d75b331e67f","sha256:ef046badad48628467d7c47ad16586eacddd6de23b2b3a20eb0e6bc9983ef8eb"],"state_sha256":"1e0269aa596fbf9a8d142434f42acf71ba6a04c38c11f9a2906ce86e91cdb572"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uj9LWI+n8xp3WTbCGKEnNoNIWMknyfLz/uPy9GhVDkyLlr3/MZjfIhX23x7iTwdtjx0aeahDZ2n+oOY1HM3FCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T19:32:35.422975Z","bundle_sha256":"1da75af1ada4f1f879d85eb7aee2892707eebc00c8725c56603ca4d9a1c906b8"}}