{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:IS42M7XTTU42FICUPQZA2UAXMT","short_pith_number":"pith:IS42M7XT","canonical_record":{"source":{"id":"2203.00448","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-23T05:28:18Z","cross_cats_sorted":["cs.PF"],"title_canon_sha256":"919b7e7028ab68f42c867adc9683b8d34a40fa1d94e136ddc12baeced225fa6c","abstract_canon_sha256":"53ec179d1fc2c686cb61dadd489fb9d8c2594244f9c56922712c1cbd860379da"},"schema_version":"1.0"},"canonical_sha256":"44b9a67ef39d39a2a0547c320d501764f8a2d6f55614c1368a241ee152aa8bb1","source":{"kind":"arxiv","id":"2203.00448","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.00448","created_at":"2026-07-05T04:01:17Z"},{"alias_kind":"arxiv_version","alias_value":"2203.00448v1","created_at":"2026-07-05T04:01:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.00448","created_at":"2026-07-05T04:01:17Z"},{"alias_kind":"pith_short_12","alias_value":"IS42M7XTTU42","created_at":"2026-07-05T04:01:17Z"},{"alias_kind":"pith_short_16","alias_value":"IS42M7XTTU42FICU","created_at":"2026-07-05T04:01:17Z"},{"alias_kind":"pith_short_8","alias_value":"IS42M7XT","created_at":"2026-07-05T04:01:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:IS42M7XTTU42FICUPQZA2UAXMT","target":"record","payload":{"canonical_record":{"source":{"id":"2203.00448","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-23T05:28:18Z","cross_cats_sorted":["cs.PF"],"title_canon_sha256":"919b7e7028ab68f42c867adc9683b8d34a40fa1d94e136ddc12baeced225fa6c","abstract_canon_sha256":"53ec179d1fc2c686cb61dadd489fb9d8c2594244f9c56922712c1cbd860379da"},"schema_version":"1.0"},"canonical_sha256":"44b9a67ef39d39a2a0547c320d501764f8a2d6f55614c1368a241ee152aa8bb1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:01:17.452901Z","signature_b64":"of5x4bJj2SSXuRG68BKmlQkBdwvXEPmg4NkJ2jL2E5r2ozVthgchNIOi/NIUNCdHhl25vupSkbbvO9hr+LEpDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"44b9a67ef39d39a2a0547c320d501764f8a2d6f55614c1368a241ee152aa8bb1","last_reissued_at":"2026-07-05T04:01:17.452515Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:01:17.452515Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2203.00448","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":"2026-07-05T04:01:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WksdmlwYfrKbALMU3mRvVxq8QRo95bzCpzpr4aJopMZcbBXWoE3XBboaxpVnc3+GvtegqZWlQgHyYxkPO8CZDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T13:25:46.998005Z"},"content_sha256":"8f23befc3bb7340692b90d4f897369cc9894d446074a3a07817107e3fa82a2c7","schema_version":"1.0","event_id":"sha256:8f23befc3bb7340692b90d4f897369cc9894d446074a3a07817107e3fa82a2c7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:IS42M7XTTU42FICUPQZA2UAXMT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Memory Planning for Deep Neural Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.PF"],"primary_cat":"cs.LG","authors_text":"Maksim Levental","submitted_at":"2022-02-23T05:28:18Z","abstract_excerpt":"We study memory allocation patterns in DNNs during inference, in the context of large-scale systems. We observe that such memory allocation patterns, in the context of multi-threading, are subject to high latencies, due to \\texttt{mutex} contention in the system memory allocator. Latencies incurred due to such \\texttt{mutex} contention produce undesirable bottlenecks in user-facing services. Thus, we propose a \"memorization\" based technique, \\texttt{MemoMalloc}, for optimizing overall latency, with only moderate increases in peak memory usage. Specifically, our technique consists of a runtime "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.00448","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/2203.00448/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":"2026-07-05T04:01:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y0L+0jWuCZRAKv5BRgYcpUHqS/dKxtYYUvar/Qq0GYht7jPjLLaakjV7d5i+YPiO4mi/TPSK+aS6vHgLU4mxCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T13:25:46.998601Z"},"content_sha256":"cadc6bac478c0ad9e303f76450d1a0e85130d3979b2178d12af46e72a38b927a","schema_version":"1.0","event_id":"sha256:cadc6bac478c0ad9e303f76450d1a0e85130d3979b2178d12af46e72a38b927a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IS42M7XTTU42FICUPQZA2UAXMT/bundle.json","state_url":"https://pith.science/pith/IS42M7XTTU42FICUPQZA2UAXMT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IS42M7XTTU42FICUPQZA2UAXMT/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":"2026-08-12T13:25:47Z","links":{"resolver":"https://pith.science/pith/IS42M7XTTU42FICUPQZA2UAXMT","bundle":"https://pith.science/pith/IS42M7XTTU42FICUPQZA2UAXMT/bundle.json","state":"https://pith.science/pith/IS42M7XTTU42FICUPQZA2UAXMT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IS42M7XTTU42FICUPQZA2UAXMT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:IS42M7XTTU42FICUPQZA2UAXMT","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":"53ec179d1fc2c686cb61dadd489fb9d8c2594244f9c56922712c1cbd860379da","cross_cats_sorted":["cs.PF"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-23T05:28:18Z","title_canon_sha256":"919b7e7028ab68f42c867adc9683b8d34a40fa1d94e136ddc12baeced225fa6c"},"schema_version":"1.0","source":{"id":"2203.00448","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.00448","created_at":"2026-07-05T04:01:17Z"},{"alias_kind":"arxiv_version","alias_value":"2203.00448v1","created_at":"2026-07-05T04:01:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.00448","created_at":"2026-07-05T04:01:17Z"},{"alias_kind":"pith_short_12","alias_value":"IS42M7XTTU42","created_at":"2026-07-05T04:01:17Z"},{"alias_kind":"pith_short_16","alias_value":"IS42M7XTTU42FICU","created_at":"2026-07-05T04:01:17Z"},{"alias_kind":"pith_short_8","alias_value":"IS42M7XT","created_at":"2026-07-05T04:01:17Z"}],"graph_snapshots":[{"event_id":"sha256:cadc6bac478c0ad9e303f76450d1a0e85130d3979b2178d12af46e72a38b927a","target":"graph","created_at":"2026-07-05T04:01:17Z","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/2203.00448/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We study memory allocation patterns in DNNs during inference, in the context of large-scale systems. We observe that such memory allocation patterns, in the context of multi-threading, are subject to high latencies, due to \\texttt{mutex} contention in the system memory allocator. Latencies incurred due to such \\texttt{mutex} contention produce undesirable bottlenecks in user-facing services. Thus, we propose a \"memorization\" based technique, \\texttt{MemoMalloc}, for optimizing overall latency, with only moderate increases in peak memory usage. Specifically, our technique consists of a runtime ","authors_text":"Maksim Levental","cross_cats":["cs.PF"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-23T05:28:18Z","title":"Memory Planning for Deep Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.00448","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":"sha256:8f23befc3bb7340692b90d4f897369cc9894d446074a3a07817107e3fa82a2c7","target":"record","created_at":"2026-07-05T04:01:17Z","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":"53ec179d1fc2c686cb61dadd489fb9d8c2594244f9c56922712c1cbd860379da","cross_cats_sorted":["cs.PF"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-23T05:28:18Z","title_canon_sha256":"919b7e7028ab68f42c867adc9683b8d34a40fa1d94e136ddc12baeced225fa6c"},"schema_version":"1.0","source":{"id":"2203.00448","kind":"arxiv","version":1}},"canonical_sha256":"44b9a67ef39d39a2a0547c320d501764f8a2d6f55614c1368a241ee152aa8bb1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"44b9a67ef39d39a2a0547c320d501764f8a2d6f55614c1368a241ee152aa8bb1","first_computed_at":"2026-07-05T04:01:17.452515Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:01:17.452515Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"of5x4bJj2SSXuRG68BKmlQkBdwvXEPmg4NkJ2jL2E5r2ozVthgchNIOi/NIUNCdHhl25vupSkbbvO9hr+LEpDg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:01:17.452901Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.00448","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8f23befc3bb7340692b90d4f897369cc9894d446074a3a07817107e3fa82a2c7","sha256:cadc6bac478c0ad9e303f76450d1a0e85130d3979b2178d12af46e72a38b927a"],"state_sha256":"8bd2b450c93fe3a41dfaaa1f015cac8cb75e8792262553a711da9fea30eea092"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ke4F/qK/kR94G5VEA8JAaBK+20aDtaoNXZNWu/Db7fLUIhCj/FbL0Bu8cj/sWW+SZPqBeS6Y8y5wKFZtdyZRDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T13:25:47.002804Z","bundle_sha256":"3e8c6ed5887408cb5f34da397f9a23dc15131e92469ac5cfa95f822f34d4cbad"}}