{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:LRYBKRX23MSSRLZIMDLMB422Z5","short_pith_number":"pith:LRYBKRX2","canonical_record":{"source":{"id":"2509.09782","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-09-11T18:29:09Z","cross_cats_sorted":[],"title_canon_sha256":"e6df045a24af73f0830c257cf71362c75942e4e4f285d3df9172633421c9d98c","abstract_canon_sha256":"dce9df079e98b6941326216f23da1f3371935c17dda6f52a9e936d34981ef27b"},"schema_version":"1.0"},"canonical_sha256":"5c701546fadb2528af2860d6c0f35acf635655fff6713bb248ea2144fe6c4902","source":{"kind":"arxiv","id":"2509.09782","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.09782","created_at":"2026-07-05T12:09:49Z"},{"alias_kind":"arxiv_version","alias_value":"2509.09782v1","created_at":"2026-07-05T12:09:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.09782","created_at":"2026-07-05T12:09:49Z"},{"alias_kind":"pith_short_12","alias_value":"LRYBKRX23MSS","created_at":"2026-07-05T12:09:49Z"},{"alias_kind":"pith_short_16","alias_value":"LRYBKRX23MSSRLZI","created_at":"2026-07-05T12:09:49Z"},{"alias_kind":"pith_short_8","alias_value":"LRYBKRX2","created_at":"2026-07-05T12:09:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:LRYBKRX23MSSRLZIMDLMB422Z5","target":"record","payload":{"canonical_record":{"source":{"id":"2509.09782","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-09-11T18:29:09Z","cross_cats_sorted":[],"title_canon_sha256":"e6df045a24af73f0830c257cf71362c75942e4e4f285d3df9172633421c9d98c","abstract_canon_sha256":"dce9df079e98b6941326216f23da1f3371935c17dda6f52a9e936d34981ef27b"},"schema_version":"1.0"},"canonical_sha256":"5c701546fadb2528af2860d6c0f35acf635655fff6713bb248ea2144fe6c4902","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:09:49.216586Z","signature_b64":"tSn3VjvVjIsg7JUD+QumwzpmLsxBDTslqqrhwWvrdRTcYa0xQ7RQ8yq2pXpioc7sCypAbZPwDMlZWaAKruFOCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5c701546fadb2528af2860d6c0f35acf635655fff6713bb248ea2144fe6c4902","last_reissued_at":"2026-07-05T12:09:49.216029Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:09:49.216029Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.09782","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":"2026-07-05T12:09:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p8RMOJvMD73tvwSnHGerXPrb6+oJLlo0/yLwz2EDHDg9a6NL6xvI65A6Y2UtRrSnOpL4Qtisei1YO+sRFOTFBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T16:14:12.194825Z"},"content_sha256":"b13379ab62f77723cad03d9c890a0a06059625ab57b2f53118695f76667a40c6","schema_version":"1.0","event_id":"sha256:b13379ab62f77723cad03d9c890a0a06059625ab57b2f53118695f76667a40c6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:LRYBKRX23MSSRLZIMDLMB422Z5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"One Head, Many Models: Cross-Attention Routing for Cost-Aware LLM Selection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Aditya Mate, Ehi Nosakhare, Keerthy Kaushik Dasoju, Mani Kishan Ghantasala, Niti Mangwani, Roshini Pulishetty, Sadid Hasan, Somya Chatterjee, Soundar Srinivasan, Vishal Garimella, Yue Kang","submitted_at":"2025-09-11T18:29:09Z","abstract_excerpt":"The proliferation of large language models (LLMs) with varying computational costs and performance profiles presents a critical challenge for scalable, cost-effective deployment in real-world applications. We introduce a unified routing framework that leverages a single-head cross-attention mechanism to jointly model query and model embeddings, enabling dynamic selection of the optimal LLM for each input query. Our approach is evaluated on RouterBench, a large-scale, publicly available benchmark encompassing diverse LLM pools and domains. By explicitly capturing fine-grained query-model intera"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.09782","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/2509.09782/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":"2026-07-05T12:09:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7I3RuYLxTugDP1qWfoRvLPl9gqhd4mGK0qCDggpAWiWanHSJ+v/JQfG3kImBAwsIdRulc3X3d5MnisRF1cr/CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T16:14:12.195192Z"},"content_sha256":"c73a5c487495c60978beb57914a0e36694cd269fce5de97bca7900ff2442660c","schema_version":"1.0","event_id":"sha256:c73a5c487495c60978beb57914a0e36694cd269fce5de97bca7900ff2442660c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LRYBKRX23MSSRLZIMDLMB422Z5/bundle.json","state_url":"https://pith.science/pith/LRYBKRX23MSSRLZIMDLMB422Z5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LRYBKRX23MSSRLZIMDLMB422Z5/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":"2026-07-06T16:14:12Z","links":{"resolver":"https://pith.science/pith/LRYBKRX23MSSRLZIMDLMB422Z5","bundle":"https://pith.science/pith/LRYBKRX23MSSRLZIMDLMB422Z5/bundle.json","state":"https://pith.science/pith/LRYBKRX23MSSRLZIMDLMB422Z5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LRYBKRX23MSSRLZIMDLMB422Z5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LRYBKRX23MSSRLZIMDLMB422Z5","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":"dce9df079e98b6941326216f23da1f3371935c17dda6f52a9e936d34981ef27b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-09-11T18:29:09Z","title_canon_sha256":"e6df045a24af73f0830c257cf71362c75942e4e4f285d3df9172633421c9d98c"},"schema_version":"1.0","source":{"id":"2509.09782","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.09782","created_at":"2026-07-05T12:09:49Z"},{"alias_kind":"arxiv_version","alias_value":"2509.09782v1","created_at":"2026-07-05T12:09:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.09782","created_at":"2026-07-05T12:09:49Z"},{"alias_kind":"pith_short_12","alias_value":"LRYBKRX23MSS","created_at":"2026-07-05T12:09:49Z"},{"alias_kind":"pith_short_16","alias_value":"LRYBKRX23MSSRLZI","created_at":"2026-07-05T12:09:49Z"},{"alias_kind":"pith_short_8","alias_value":"LRYBKRX2","created_at":"2026-07-05T12:09:49Z"}],"graph_snapshots":[{"event_id":"sha256:c73a5c487495c60978beb57914a0e36694cd269fce5de97bca7900ff2442660c","target":"graph","created_at":"2026-07-05T12:09:49Z","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/2509.09782/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 computational costs and performance profiles presents a critical challenge for scalable, cost-effective deployment in real-world applications. We introduce a unified routing framework that leverages a single-head cross-attention mechanism to jointly model query and model embeddings, enabling dynamic selection of the optimal LLM for each input query. Our approach is evaluated on RouterBench, a large-scale, publicly available benchmark encompassing diverse LLM pools and domains. By explicitly capturing fine-grained query-model intera","authors_text":"Aditya Mate, Ehi Nosakhare, Keerthy Kaushik Dasoju, Mani Kishan Ghantasala, Niti Mangwani, Roshini Pulishetty, Sadid Hasan, Somya Chatterjee, Soundar Srinivasan, Vishal Garimella, Yue Kang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-09-11T18:29:09Z","title":"One Head, Many Models: Cross-Attention Routing for Cost-Aware LLM Selection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.09782","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:b13379ab62f77723cad03d9c890a0a06059625ab57b2f53118695f76667a40c6","target":"record","created_at":"2026-07-05T12:09:49Z","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":"dce9df079e98b6941326216f23da1f3371935c17dda6f52a9e936d34981ef27b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-09-11T18:29:09Z","title_canon_sha256":"e6df045a24af73f0830c257cf71362c75942e4e4f285d3df9172633421c9d98c"},"schema_version":"1.0","source":{"id":"2509.09782","kind":"arxiv","version":1}},"canonical_sha256":"5c701546fadb2528af2860d6c0f35acf635655fff6713bb248ea2144fe6c4902","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5c701546fadb2528af2860d6c0f35acf635655fff6713bb248ea2144fe6c4902","first_computed_at":"2026-07-05T12:09:49.216029Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:09:49.216029Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tSn3VjvVjIsg7JUD+QumwzpmLsxBDTslqqrhwWvrdRTcYa0xQ7RQ8yq2pXpioc7sCypAbZPwDMlZWaAKruFOCA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:09:49.216586Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.09782","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b13379ab62f77723cad03d9c890a0a06059625ab57b2f53118695f76667a40c6","sha256:c73a5c487495c60978beb57914a0e36694cd269fce5de97bca7900ff2442660c"],"state_sha256":"9dda0ccacd622806ab6306fc116cfcbd5458719ad03ebfe8821fbc3349c0dc80"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ExAYEGcAF04joe5LJOOB1lUQYcZmwd+l7PYdw1FpdEKJ0IEHT1nZF1vHmVCAQxCXVe9a0UrYybiaV85nR1HsCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T16:14:12.197282Z","bundle_sha256":"52f1d5f37fe9fcaa2f41b5d20f3c43e804af6c605b81000563780713f3326a49"}}