{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:YCCMXIU44PL2V5NLV4KR4EK3RV","short_pith_number":"pith:YCCMXIU4","canonical_record":{"source":{"id":"2411.09317","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-11-14T09:50:41Z","cross_cats_sorted":["cs.DC"],"title_canon_sha256":"7bebada8f898cfaf9dc5fba20244ecd3a7da3438d54949779920f755e0dd2736","abstract_canon_sha256":"2fb0401c81fa9b048ab2eb02e75a4aa47a803534ce604df1d177dc5d86b44a43"},"schema_version":"1.0"},"canonical_sha256":"c084cba29ce3d7aaf5abaf151e115b8d4c7b99bdb9ddfdb1fa3a09cd61f9b6eb","source":{"kind":"arxiv","id":"2411.09317","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.09317","created_at":"2026-07-05T09:35:25Z"},{"alias_kind":"arxiv_version","alias_value":"2411.09317v1","created_at":"2026-07-05T09:35:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.09317","created_at":"2026-07-05T09:35:25Z"},{"alias_kind":"pith_short_12","alias_value":"YCCMXIU44PL2","created_at":"2026-07-05T09:35:25Z"},{"alias_kind":"pith_short_16","alias_value":"YCCMXIU44PL2V5NL","created_at":"2026-07-05T09:35:25Z"},{"alias_kind":"pith_short_8","alias_value":"YCCMXIU4","created_at":"2026-07-05T09:35:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:YCCMXIU44PL2V5NLV4KR4EK3RV","target":"record","payload":{"canonical_record":{"source":{"id":"2411.09317","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-11-14T09:50:41Z","cross_cats_sorted":["cs.DC"],"title_canon_sha256":"7bebada8f898cfaf9dc5fba20244ecd3a7da3438d54949779920f755e0dd2736","abstract_canon_sha256":"2fb0401c81fa9b048ab2eb02e75a4aa47a803534ce604df1d177dc5d86b44a43"},"schema_version":"1.0"},"canonical_sha256":"c084cba29ce3d7aaf5abaf151e115b8d4c7b99bdb9ddfdb1fa3a09cd61f9b6eb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:35:25.032839Z","signature_b64":"Kj42O0vADs0ZXMZ4DxJSFycB0E8IjQIEa0r70cK73gRg4WAGPlBpvumimJazJzWZ6PLFDadjUYfg1aHQXqjcDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c084cba29ce3d7aaf5abaf151e115b8d4c7b99bdb9ddfdb1fa3a09cd61f9b6eb","last_reissued_at":"2026-07-05T09:35:25.032328Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:35:25.032328Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.09317","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":"2026-07-05T09:35:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DEn/QJosS2J8BZGpqcf3ae0K7x3eWQECUXy9UTv08eRKUNJtdU86HdX8WuefXrnsqikmFw7jVvGk84auK8wqAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T17:52:49.077455Z"},"content_sha256":"6a809dd1e6b838f313472aea7d0cb6bbf85935b85dcf4b91031bdcadd3780e89","schema_version":"1.0","event_id":"sha256:6a809dd1e6b838f313472aea7d0cb6bbf85935b85dcf4b91031bdcadd3780e89"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:YCCMXIU44PL2V5NLV4KR4EK3RV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Pie: Pooling CPU Memory for LLM Inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DC"],"primary_cat":"cs.LG","authors_text":"Ion Stoica, Shu Liu, Xiangxi Mo, Yi Xu, Ziming Mao","submitted_at":"2024-11-14T09:50:41Z","abstract_excerpt":"The rapid growth of LLMs has revolutionized natural language processing and AI analysis, but their increasing size and memory demands present significant challenges. A common solution is to spill over to CPU memory; however, traditional GPU-CPU memory swapping often results in higher latency and lower throughput.\n  This paper introduces Pie, an LLM inference framework that addresses these challenges with performance-transparent swapping and adaptive expansion. By leveraging predictable memory access patterns and the high bandwidth of modern hardware like the NVIDIA GH200 Grace Hopper Superchip"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.09317","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/2411.09317/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":"2026-07-05T09:35:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1W+DXeUr6wm86Y7N5GZzubbfdiByTTsJeo8tkDsF9WVePwacEwp+LvRJ1Qnt8pZ3aU15LlEccpCPC8y5TXcMDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T17:52:49.078554Z"},"content_sha256":"9333211bf9ca9c22645b6a09c85907250eb0a8c28364c11b0246853058b9f36a","schema_version":"1.0","event_id":"sha256:9333211bf9ca9c22645b6a09c85907250eb0a8c28364c11b0246853058b9f36a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YCCMXIU44PL2V5NLV4KR4EK3RV/bundle.json","state_url":"https://pith.science/pith/YCCMXIU44PL2V5NLV4KR4EK3RV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YCCMXIU44PL2V5NLV4KR4EK3RV/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":"2026-08-06T17:52:49Z","links":{"resolver":"https://pith.science/pith/YCCMXIU44PL2V5NLV4KR4EK3RV","bundle":"https://pith.science/pith/YCCMXIU44PL2V5NLV4KR4EK3RV/bundle.json","state":"https://pith.science/pith/YCCMXIU44PL2V5NLV4KR4EK3RV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YCCMXIU44PL2V5NLV4KR4EK3RV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YCCMXIU44PL2V5NLV4KR4EK3RV","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":"2fb0401c81fa9b048ab2eb02e75a4aa47a803534ce604df1d177dc5d86b44a43","cross_cats_sorted":["cs.DC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-11-14T09:50:41Z","title_canon_sha256":"7bebada8f898cfaf9dc5fba20244ecd3a7da3438d54949779920f755e0dd2736"},"schema_version":"1.0","source":{"id":"2411.09317","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.09317","created_at":"2026-07-05T09:35:25Z"},{"alias_kind":"arxiv_version","alias_value":"2411.09317v1","created_at":"2026-07-05T09:35:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.09317","created_at":"2026-07-05T09:35:25Z"},{"alias_kind":"pith_short_12","alias_value":"YCCMXIU44PL2","created_at":"2026-07-05T09:35:25Z"},{"alias_kind":"pith_short_16","alias_value":"YCCMXIU44PL2V5NL","created_at":"2026-07-05T09:35:25Z"},{"alias_kind":"pith_short_8","alias_value":"YCCMXIU4","created_at":"2026-07-05T09:35:25Z"}],"graph_snapshots":[{"event_id":"sha256:9333211bf9ca9c22645b6a09c85907250eb0a8c28364c11b0246853058b9f36a","target":"graph","created_at":"2026-07-05T09:35:25Z","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/2411.09317/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rapid growth of LLMs has revolutionized natural language processing and AI analysis, but their increasing size and memory demands present significant challenges. A common solution is to spill over to CPU memory; however, traditional GPU-CPU memory swapping often results in higher latency and lower throughput.\n  This paper introduces Pie, an LLM inference framework that addresses these challenges with performance-transparent swapping and adaptive expansion. By leveraging predictable memory access patterns and the high bandwidth of modern hardware like the NVIDIA GH200 Grace Hopper Superchip","authors_text":"Ion Stoica, Shu Liu, Xiangxi Mo, Yi Xu, Ziming Mao","cross_cats":["cs.DC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-11-14T09:50:41Z","title":"Pie: Pooling CPU Memory for LLM Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.09317","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":"sha256:6a809dd1e6b838f313472aea7d0cb6bbf85935b85dcf4b91031bdcadd3780e89","target":"record","created_at":"2026-07-05T09:35:25Z","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":"2fb0401c81fa9b048ab2eb02e75a4aa47a803534ce604df1d177dc5d86b44a43","cross_cats_sorted":["cs.DC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-11-14T09:50:41Z","title_canon_sha256":"7bebada8f898cfaf9dc5fba20244ecd3a7da3438d54949779920f755e0dd2736"},"schema_version":"1.0","source":{"id":"2411.09317","kind":"arxiv","version":1}},"canonical_sha256":"c084cba29ce3d7aaf5abaf151e115b8d4c7b99bdb9ddfdb1fa3a09cd61f9b6eb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c084cba29ce3d7aaf5abaf151e115b8d4c7b99bdb9ddfdb1fa3a09cd61f9b6eb","first_computed_at":"2026-07-05T09:35:25.032328Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:35:25.032328Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Kj42O0vADs0ZXMZ4DxJSFycB0E8IjQIEa0r70cK73gRg4WAGPlBpvumimJazJzWZ6PLFDadjUYfg1aHQXqjcDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:35:25.032839Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.09317","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6a809dd1e6b838f313472aea7d0cb6bbf85935b85dcf4b91031bdcadd3780e89","sha256:9333211bf9ca9c22645b6a09c85907250eb0a8c28364c11b0246853058b9f36a"],"state_sha256":"e5ebdbcef8c3e1986ad8e6aca2c3fda43f0d6c887540504bfd2e6e7b96d0849b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0FukCVbmT3yHNEDbADL5XoGOidDXyDrEZesbE3mADGkuIGvO+aAvEf3smjwBy8dfcQa4TL7seXpnxWz0nk7bCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T17:52:49.087270Z","bundle_sha256":"a4ba1cac20b4150370da926b9b913906547c307e33b1b608f351b6544045848a"}}