{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ONG4BZ3G3YVB7NLHXOYHHQGBG3","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":"ae0701014c47cb143ecac141ecca01328c79e48381240d7d6ca9d232f4363ee8","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2025-02-22T07:07:38Z","title_canon_sha256":"b40d8a37dda302b8340b46cdc293131f3d1bb6d0d01c61a95bef830a19e4bc37"},"schema_version":"1.0","source":{"id":"2504.03648","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.03648","created_at":"2026-07-05T10:44:45Z"},{"alias_kind":"arxiv_version","alias_value":"2504.03648v1","created_at":"2026-07-05T10:44:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.03648","created_at":"2026-07-05T10:44:45Z"},{"alias_kind":"pith_short_12","alias_value":"ONG4BZ3G3YVB","created_at":"2026-07-05T10:44:45Z"},{"alias_kind":"pith_short_16","alias_value":"ONG4BZ3G3YVB7NLH","created_at":"2026-07-05T10:44:45Z"},{"alias_kind":"pith_short_8","alias_value":"ONG4BZ3G","created_at":"2026-07-05T10:44:45Z"}],"graph_snapshots":[{"event_id":"sha256:9b5a8b84fba5724f9ec3ba765fb875335d9cd365b8586690672fdb347e962e40","target":"graph","created_at":"2026-07-05T10:44:45Z","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/2504.03648/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce AIBrix, a cloud-native, open-source framework designed to optimize and simplify large-scale LLM deployment in cloud environments. Unlike traditional cloud-native stacks, AIBrix follows a co-design philosophy, ensuring every layer of the infrastructure is purpose-built for seamless integration with inference engines like vLLM. AIBrix introduces several key innovations to reduce inference costs and enhance performance including high-density LoRA management for dynamic adapter scheduling, LLM-specific autoscalers, and prefix-aware, load-aware routing. To further improve efficiency, A","authors_text":"Binbin Chen, Caixue Lin, Chak-Pong Chung, Chenyu Jiang, Gangmuk Lim, Haiyang Shi, Jianjun Chen, Jingyuan Zhang, Kante Yin, Le Xu, Liguang Xie, Linhui Xu, Ning Wang, Rong Kang, Rui Shi, Shuowei Jin, The AIBrix Team: Jiaxin Shan, Tongping Liu, Varun Gupta, Wu Xiang, Xiao Liu, Xin Chen, Yicheng Lu, Yifei Zhang, Yiqing Zhu, Zuzhi Chen","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2025-02-22T07:07:38Z","title":"AIBrix: Towards Scalable, Cost-Effective Large Language Model Inference Infrastructure"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.03648","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:d750fd6daa52713f3d9aef5edb96bac1f295bc2ed2531ce117d08abe613c7634","target":"record","created_at":"2026-07-05T10:44:45Z","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":"ae0701014c47cb143ecac141ecca01328c79e48381240d7d6ca9d232f4363ee8","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2025-02-22T07:07:38Z","title_canon_sha256":"b40d8a37dda302b8340b46cdc293131f3d1bb6d0d01c61a95bef830a19e4bc37"},"schema_version":"1.0","source":{"id":"2504.03648","kind":"arxiv","version":1}},"canonical_sha256":"734dc0e766de2a1fb567bbb073c0c136d05f8a61991c199a9dc49ac4219ecc6f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"734dc0e766de2a1fb567bbb073c0c136d05f8a61991c199a9dc49ac4219ecc6f","first_computed_at":"2026-07-05T10:44:45.506573Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:44:45.506573Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MJKxbczPTVHQu9ZJ4K0++qlju+Az77xORHHX/7Bf5BpfSu9BNxsVP1QqH399tLn3k4OJhXFJchYXGExageqfCw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:44:45.507066Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.03648","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d750fd6daa52713f3d9aef5edb96bac1f295bc2ed2531ce117d08abe613c7634","sha256:9b5a8b84fba5724f9ec3ba765fb875335d9cd365b8586690672fdb347e962e40"],"state_sha256":"792adb5c2f4d119e28e6b37dcfed9a797608b147c756d8b66f3017eb72cc8b80"}