{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3ITHLOYXPMMWUSB66VYAMKRQCN","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":"8bc1377c048dd6db469680c20a781d822bdf57d5a8b1c36bbc1e2198e2a5440f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-09-23T20:10:10Z","title_canon_sha256":"66d6b47e117233fe4bc0e343ff03d7fb83a9ad91da0537b5529e5dea61f5b104"},"schema_version":"1.0","source":{"id":"2409.15518","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.15518","created_at":"2026-07-05T09:27:24Z"},{"alias_kind":"arxiv_version","alias_value":"2409.15518v2","created_at":"2026-07-05T09:27:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.15518","created_at":"2026-07-05T09:27:24Z"},{"alias_kind":"pith_short_12","alias_value":"3ITHLOYXPMMW","created_at":"2026-07-05T09:27:24Z"},{"alias_kind":"pith_short_16","alias_value":"3ITHLOYXPMMWUSB6","created_at":"2026-07-05T09:27:24Z"},{"alias_kind":"pith_short_8","alias_value":"3ITHLOYX","created_at":"2026-07-05T09:27:24Z"}],"graph_snapshots":[{"event_id":"sha256:d87e33fa20110c3698358ed9eecdb47d0ffe7d4bb08a3c4c3d091bd39a338793","target":"graph","created_at":"2026-07-05T09:27:24Z","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/2409.15518/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The proliferation of Large Language Models (LLMs) with varying capabilities and costs has created a need for efficient model selection in AI systems. LLM routers address this need by dynamically choosing the most suitable model for a given query based on task requirements and budget constraints. However, existing routers face challenges in scalability and real-time adaptation, particularly in high-volume online environments. We present Eagle, a novel LLM routing approach that combines global and local ELO ranking modules to overcome these limitations. By evaluating both general and specialized","authors_text":"Shuowei Jin, Zesen Zhao, Z. Morley Mao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-09-23T20:10:10Z","title":"Eagle: Efficient Training-Free Router for Multi-LLM Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.15518","kind":"arxiv","version":2},"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":"sha256:11fc71ae69cf4de1214578d8d5fc49abe22087ca5b6a0a49c503df3f67c2458e","target":"record","created_at":"2026-07-05T09:27:24Z","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":"8bc1377c048dd6db469680c20a781d822bdf57d5a8b1c36bbc1e2198e2a5440f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-09-23T20:10:10Z","title_canon_sha256":"66d6b47e117233fe4bc0e343ff03d7fb83a9ad91da0537b5529e5dea61f5b104"},"schema_version":"1.0","source":{"id":"2409.15518","kind":"arxiv","version":2}},"canonical_sha256":"da2675bb177b196a483ef570062a3013643d6bfb15783ca03dc8ed8b39b56927","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"da2675bb177b196a483ef570062a3013643d6bfb15783ca03dc8ed8b39b56927","first_computed_at":"2026-07-05T09:27:24.987167Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:27:24.987167Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oeh7hjBfPQR4MlszgByKVayZU8xAW9ui69zNl7Vj+mDMFlu3CY3et6+yt+4SozlrGS9n0n2H6Dk1jI6HHxTEAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:27:24.987695Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.15518","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:11fc71ae69cf4de1214578d8d5fc49abe22087ca5b6a0a49c503df3f67c2458e","sha256:d87e33fa20110c3698358ed9eecdb47d0ffe7d4bb08a3c4c3d091bd39a338793"],"state_sha256":"efe35e8481f66534bd7e8e72991d108c5b43a676873cb6f0672be018253ced7d"}