{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:W7QAYAHWDGYWZLCB2GOZ3RK3AC","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":"e1fcc8b8cc3719d521d2eaf776a61555e1724be9d2d468c3ff079952e8c4bb9b","cross_cats_sorted":["cs.AI","cs.DC","cs.LG","cs.PF"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-08-13T18:28:56Z","title_canon_sha256":"7968434f0e10fff13aa0b6185ff904d7ee8d8b2009cc34b89f254d2a664448a8"},"schema_version":"1.0","source":{"id":"2308.08500","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.08500","created_at":"2026-07-05T06:41:59Z"},{"alias_kind":"arxiv_version","alias_value":"2308.08500v1","created_at":"2026-07-05T06:41:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.08500","created_at":"2026-07-05T06:41:59Z"},{"alias_kind":"pith_short_12","alias_value":"W7QAYAHWDGYW","created_at":"2026-07-05T06:41:59Z"},{"alias_kind":"pith_short_16","alias_value":"W7QAYAHWDGYWZLCB","created_at":"2026-07-05T06:41:59Z"},{"alias_kind":"pith_short_8","alias_value":"W7QAYAHW","created_at":"2026-07-05T06:41:59Z"}],"graph_snapshots":[{"event_id":"sha256:e6b488c8b22102b1c82a73493223bf0850606912b1b83cb8ae8ca025fcff3eb9","target":"graph","created_at":"2026-07-05T06:41:59Z","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/2308.08500/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning-based recommender models (DLRMs) have become an essential component of many modern recommender systems. Several companies are now building large compute clusters reserved only for DLRM training, driving new interest in cost- and time- saving optimizations. The systems challenges faced in this setting are unique; while typical deep learning training jobs are dominated by model execution, the most important factor in DLRM training performance is often online data ingestion.\n  In this paper, we explore the unique characteristics of this data ingestion problem and provide insights in","authors_text":"Kabir Nagrecha, Lingyi Liu, Pablo Delgado, Prasanna Padmanabhan","cross_cats":["cs.AI","cs.DC","cs.LG","cs.PF"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-08-13T18:28:56Z","title":"InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.08500","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:f0444427ff8a538e287e185cf9df6581a42c82faafcf1f04d44268c05810b10c","target":"record","created_at":"2026-07-05T06:41:59Z","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":"e1fcc8b8cc3719d521d2eaf776a61555e1724be9d2d468c3ff079952e8c4bb9b","cross_cats_sorted":["cs.AI","cs.DC","cs.LG","cs.PF"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-08-13T18:28:56Z","title_canon_sha256":"7968434f0e10fff13aa0b6185ff904d7ee8d8b2009cc34b89f254d2a664448a8"},"schema_version":"1.0","source":{"id":"2308.08500","kind":"arxiv","version":1}},"canonical_sha256":"b7e00c00f619b16cac41d19d9dc55b009517d25cb6d6d81ded802107c35d352a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b7e00c00f619b16cac41d19d9dc55b009517d25cb6d6d81ded802107c35d352a","first_computed_at":"2026-07-05T06:41:59.892287Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:41:59.892287Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rx6NXhWkVcwcvfVyUiVFqFRCzeS9ndAot9J4fpZ0UmJRaIzUnJ8FQEHjfvxjlj3CjuWyQLKl5NyMPCwhVsMqAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:41:59.892669Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.08500","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f0444427ff8a538e287e185cf9df6581a42c82faafcf1f04d44268c05810b10c","sha256:e6b488c8b22102b1c82a73493223bf0850606912b1b83cb8ae8ca025fcff3eb9"],"state_sha256":"c29cc655ee318c87bac8d1b21d82b3ae6abd6754c493fb3e65bc9693e8c8c1c4"}