{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:CIVTCQ65Z2YRETLMYATCMZZAWH","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":"6006f72137e019271a627fcb0e854f6622f025ace1ccbdfa295c6605d7595108","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-06-13T02:39:21Z","title_canon_sha256":"1658e40e81484b6bd53ce8be352e09983a0ae9aa516986b48a9b898e7052f029"},"schema_version":"1.0","source":{"id":"2506.11421","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.11421","created_at":"2026-07-05T11:53:04Z"},{"alias_kind":"arxiv_version","alias_value":"2506.11421v3","created_at":"2026-07-05T11:53:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.11421","created_at":"2026-07-05T11:53:04Z"},{"alias_kind":"pith_short_12","alias_value":"CIVTCQ65Z2YR","created_at":"2026-07-05T11:53:04Z"},{"alias_kind":"pith_short_16","alias_value":"CIVTCQ65Z2YRETLM","created_at":"2026-07-05T11:53:04Z"},{"alias_kind":"pith_short_8","alias_value":"CIVTCQ65","created_at":"2026-07-05T11:53:04Z"}],"graph_snapshots":[{"event_id":"sha256:4be89cd909d4fc079589788f5580f113fbec2ac7f7cc042f04414f5a124d5fd6","target":"graph","created_at":"2026-07-05T11:53:04Z","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/2506.11421/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the rapid growth of Internet services, recommendation systems play a central role in delivering personalized content. Faced with massive user requests and complex model architectures, the key challenge for real-time recommendation systems is how to reduce inference latency and increase system throughput without sacrificing recommendation quality. This paper addresses the high computational cost and resource bottlenecks of deep learning models in real-time settings by proposing a combined set of modeling- and system-level acceleration and optimization strategies. At the model level, we dra","authors_text":"Chengrui Zhou, Dannier Li, Dingzhou Wang, Jing Dong, Junli Shao, Kowei Shih","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-06-13T02:39:21Z","title":"Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.11421","kind":"arxiv","version":3},"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":"sha256:6dd3a9b2c5c690210876f843d59022d36c5ed7ad68d37dec9b21041fbb1266e7","target":"record","created_at":"2026-07-05T11:53:04Z","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":"6006f72137e019271a627fcb0e854f6622f025ace1ccbdfa295c6605d7595108","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-06-13T02:39:21Z","title_canon_sha256":"1658e40e81484b6bd53ce8be352e09983a0ae9aa516986b48a9b898e7052f029"},"schema_version":"1.0","source":{"id":"2506.11421","kind":"arxiv","version":3}},"canonical_sha256":"122b3143ddceb1124d6cc026266720b1ca5b8ef04408899546a39305834d0ef1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"122b3143ddceb1124d6cc026266720b1ca5b8ef04408899546a39305834d0ef1","first_computed_at":"2026-07-05T11:53:04.272428Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:53:04.272428Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gqKbjE3+03y/G5XBsGBQK4RsKXrOEzimRS6koHAVyLL0fr3+OxBYngvbGQNv3slenYORKVGrJEurmGbmvX7kDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:53:04.272881Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.11421","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6dd3a9b2c5c690210876f843d59022d36c5ed7ad68d37dec9b21041fbb1266e7","sha256:4be89cd909d4fc079589788f5580f113fbec2ac7f7cc042f04414f5a124d5fd6"],"state_sha256":"9bbc40d34ecc369a446b4e46ec19867003cd19b3f2623df0176635fc07a4b7d6"}