{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:NMAIBTIFYQICL6UK3HVGILVJOE","short_pith_number":"pith:NMAIBTIF","canonical_record":{"source":{"id":"2509.02480","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2025-09-02T16:30:49Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"d1876be30a22827669872bd3176e43073c865bcca4c501e80b4df4268caa21f4","abstract_canon_sha256":"fb7840a25e6ab58ac16d11b4f1c8e1a8b366ca8f8fc32327a000f78eeae49b18"},"schema_version":"1.0"},"canonical_sha256":"6b0080cd05c41025fa8ad9ea642ea971232c5596325c5a5af338b54a8cbfb017","source":{"kind":"arxiv","id":"2509.02480","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.02480","created_at":"2026-07-05T12:03:39Z"},{"alias_kind":"arxiv_version","alias_value":"2509.02480v1","created_at":"2026-07-05T12:03:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.02480","created_at":"2026-07-05T12:03:39Z"},{"alias_kind":"pith_short_12","alias_value":"NMAIBTIFYQIC","created_at":"2026-07-05T12:03:39Z"},{"alias_kind":"pith_short_16","alias_value":"NMAIBTIFYQICL6UK","created_at":"2026-07-05T12:03:39Z"},{"alias_kind":"pith_short_8","alias_value":"NMAIBTIF","created_at":"2026-07-05T12:03:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:NMAIBTIFYQICL6UK3HVGILVJOE","target":"record","payload":{"canonical_record":{"source":{"id":"2509.02480","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2025-09-02T16:30:49Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"d1876be30a22827669872bd3176e43073c865bcca4c501e80b4df4268caa21f4","abstract_canon_sha256":"fb7840a25e6ab58ac16d11b4f1c8e1a8b366ca8f8fc32327a000f78eeae49b18"},"schema_version":"1.0"},"canonical_sha256":"6b0080cd05c41025fa8ad9ea642ea971232c5596325c5a5af338b54a8cbfb017","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:03:39.290966Z","signature_b64":"Xk4Z85/wvyIoCMO9lDvL/X5x626HxUPoJIM8/+SNITX6IhPX/InMuXJ3Xvktv2Uy5Qgw6Vyo051ZHrRpevK9CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6b0080cd05c41025fa8ad9ea642ea971232c5596325c5a5af338b54a8cbfb017","last_reissued_at":"2026-07-05T12:03:39.290290Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:03:39.290290Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.02480","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":"2026-07-05T12:03:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M4DfUgh7raYZIRaeMy02C13viNrdcwvMoydaoxt5X59Gorg8KYWSHSHLJLMwIswHQ6qLO7IQfIknwDZjX/tVBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T01:21:35.785871Z"},"content_sha256":"c3963e24a0b349294478e929ef44a6340149da143e7e8999b9ed537ee11cc6b8","schema_version":"1.0","event_id":"sha256:c3963e24a0b349294478e929ef44a6340149da143e7e8999b9ed537ee11cc6b8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:NMAIBTIFYQICL6UK3HVGILVJOE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.DC","authors_text":"Avinash Maurya, Bogdan Nicolae, Franck Cappello, M. Mustafa Rafique","submitted_at":"2025-09-02T16:30:49Z","abstract_excerpt":"Training LLMs larger than the aggregated memory of multiple GPUs is increasingly necessary due to the faster growth of LLM sizes compared to GPU memory. To this end, multi-tier host memory or disk offloading techniques are proposed by state of art. Despite advanced asynchronous multi-tier read/write strategies, such offloading strategies result in significant I/O overheads in the critical path of training, resulting in slower iterations. To this end, we propose MLP-Offload, a novel multi-level, multi-path offloading engine specifically designed for optimizing LLM training on resource-constrain"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.02480","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/2509.02480/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":"2026-07-05T12:03:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z3rGPQn78+ZWvJIP8HBGvblfp7RcpdI2tX05RitbweNttayh+PLj09cPHtCkCPhIjtazR8/YzuSx5wafBHK6BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T01:21:35.786760Z"},"content_sha256":"19d8380978012c3181c8c4d1f14bd4bf18d822f2a4140164f964b14e0952642d","schema_version":"1.0","event_id":"sha256:19d8380978012c3181c8c4d1f14bd4bf18d822f2a4140164f964b14e0952642d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NMAIBTIFYQICL6UK3HVGILVJOE/bundle.json","state_url":"https://pith.science/pith/NMAIBTIFYQICL6UK3HVGILVJOE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NMAIBTIFYQICL6UK3HVGILVJOE/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":"2026-08-06T01:21:35Z","links":{"resolver":"https://pith.science/pith/NMAIBTIFYQICL6UK3HVGILVJOE","bundle":"https://pith.science/pith/NMAIBTIFYQICL6UK3HVGILVJOE/bundle.json","state":"https://pith.science/pith/NMAIBTIFYQICL6UK3HVGILVJOE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NMAIBTIFYQICL6UK3HVGILVJOE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:NMAIBTIFYQICL6UK3HVGILVJOE","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":"fb7840a25e6ab58ac16d11b4f1c8e1a8b366ca8f8fc32327a000f78eeae49b18","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2025-09-02T16:30:49Z","title_canon_sha256":"d1876be30a22827669872bd3176e43073c865bcca4c501e80b4df4268caa21f4"},"schema_version":"1.0","source":{"id":"2509.02480","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.02480","created_at":"2026-07-05T12:03:39Z"},{"alias_kind":"arxiv_version","alias_value":"2509.02480v1","created_at":"2026-07-05T12:03:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.02480","created_at":"2026-07-05T12:03:39Z"},{"alias_kind":"pith_short_12","alias_value":"NMAIBTIFYQIC","created_at":"2026-07-05T12:03:39Z"},{"alias_kind":"pith_short_16","alias_value":"NMAIBTIFYQICL6UK","created_at":"2026-07-05T12:03:39Z"},{"alias_kind":"pith_short_8","alias_value":"NMAIBTIF","created_at":"2026-07-05T12:03:39Z"}],"graph_snapshots":[{"event_id":"sha256:19d8380978012c3181c8c4d1f14bd4bf18d822f2a4140164f964b14e0952642d","target":"graph","created_at":"2026-07-05T12:03:39Z","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/2509.02480/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Training LLMs larger than the aggregated memory of multiple GPUs is increasingly necessary due to the faster growth of LLM sizes compared to GPU memory. To this end, multi-tier host memory or disk offloading techniques are proposed by state of art. Despite advanced asynchronous multi-tier read/write strategies, such offloading strategies result in significant I/O overheads in the critical path of training, resulting in slower iterations. To this end, we propose MLP-Offload, a novel multi-level, multi-path offloading engine specifically designed for optimizing LLM training on resource-constrain","authors_text":"Avinash Maurya, Bogdan Nicolae, Franck Cappello, M. Mustafa Rafique","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2025-09-02T16:30:49Z","title":"MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.02480","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:c3963e24a0b349294478e929ef44a6340149da143e7e8999b9ed537ee11cc6b8","target":"record","created_at":"2026-07-05T12:03:39Z","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":"fb7840a25e6ab58ac16d11b4f1c8e1a8b366ca8f8fc32327a000f78eeae49b18","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2025-09-02T16:30:49Z","title_canon_sha256":"d1876be30a22827669872bd3176e43073c865bcca4c501e80b4df4268caa21f4"},"schema_version":"1.0","source":{"id":"2509.02480","kind":"arxiv","version":1}},"canonical_sha256":"6b0080cd05c41025fa8ad9ea642ea971232c5596325c5a5af338b54a8cbfb017","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6b0080cd05c41025fa8ad9ea642ea971232c5596325c5a5af338b54a8cbfb017","first_computed_at":"2026-07-05T12:03:39.290290Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:03:39.290290Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Xk4Z85/wvyIoCMO9lDvL/X5x626HxUPoJIM8/+SNITX6IhPX/InMuXJ3Xvktv2Uy5Qgw6Vyo051ZHrRpevK9CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T12:03:39.290966Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.02480","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c3963e24a0b349294478e929ef44a6340149da143e7e8999b9ed537ee11cc6b8","sha256:19d8380978012c3181c8c4d1f14bd4bf18d822f2a4140164f964b14e0952642d"],"state_sha256":"c1d7549d05570d133f73d436f687f61ac6b318d343ace2b852ed15592da2eb91"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jxfh805mh0ZaFfqwVKPRyxzYRcd41lMg9zn90SpjtlabHliCcb9ynkhCkdcjArpbhY4oKY7eHHcO+EKRiNpzCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T01:21:35.792813Z","bundle_sha256":"929caa61afd8a53024e7be36bebe876fa1a726068f9e272a9860084ad3855336"}}