{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:XVHB66OTKJMQNJM6JYND2WYH5A","short_pith_number":"pith:XVHB66OT","canonical_record":{"source":{"id":"2502.00409","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-02-01T12:08:38Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"3346f9a5503784348938194d09d476f8d367d4ae38448e6ba5b1c724bd1a51b4","abstract_canon_sha256":"8d5abbb1bb598d49feed7bc032618aa9a3f0ee59c94dcf63c733eb5108805a3e"},"schema_version":"1.0"},"canonical_sha256":"bd4e1f79d3525906a59e4e1a3d5b07e83b9bf1146ad60cc14169fab0f637b4eb","source":{"kind":"arxiv","id":"2502.00409","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.00409","created_at":"2026-07-05T11:40:32Z"},{"alias_kind":"arxiv_version","alias_value":"2502.00409v3","created_at":"2026-07-05T11:40:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.00409","created_at":"2026-07-05T11:40:32Z"},{"alias_kind":"pith_short_12","alias_value":"XVHB66OTKJMQ","created_at":"2026-07-05T11:40:32Z"},{"alias_kind":"pith_short_16","alias_value":"XVHB66OTKJMQNJM6","created_at":"2026-07-05T11:40:32Z"},{"alias_kind":"pith_short_8","alias_value":"XVHB66OT","created_at":"2026-07-05T11:40:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:XVHB66OTKJMQNJM6JYND2WYH5A","target":"record","payload":{"canonical_record":{"source":{"id":"2502.00409","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-02-01T12:08:38Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"3346f9a5503784348938194d09d476f8d367d4ae38448e6ba5b1c724bd1a51b4","abstract_canon_sha256":"8d5abbb1bb598d49feed7bc032618aa9a3f0ee59c94dcf63c733eb5108805a3e"},"schema_version":"1.0"},"canonical_sha256":"bd4e1f79d3525906a59e4e1a3d5b07e83b9bf1146ad60cc14169fab0f637b4eb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:40:32.543687Z","signature_b64":"kHuvCPJsqK5lgu2rR2djAZygjpterPnSm/BdWdmCRmVEgvbnvmA4s/ORDA34pGp2qgl8xgxKTgHSdCewEloDCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bd4e1f79d3525906a59e4e1a3d5b07e83b9bf1146ad60cc14169fab0f637b4eb","last_reissued_at":"2026-07-05T11:40:32.543143Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:40:32.543143Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.00409","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:40:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"54Nzeg/tu1ETJQKLOsaSSwf3REbXNL3RUAh1+OggXGW7Y87r1vAezO/8170uK5uPRcWyBilkvmI/IqWzv0qzDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:37:46.129064Z"},"content_sha256":"da0dcbee46a1a17424bcaca462d5ab9212d1bbf4172c3e80d58ddcebd0171e32","schema_version":"1.0","event_id":"sha256:da0dcbee46a1a17424bcaca462d5ab9212d1bbf4172c3e80d58ddcebd0171e32"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:XVHB66OTKJMQNJM6JYND2WYH5A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Doing More with Less: A Survey on Routing Strategies for Resource Optimisation in Large Language Model-Based Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Antoine Gourru, Christophe Bouvard, Clovis Varangot-Reille, Fran\\c{c}ois Jacquenet, Marion Schaeffer, Mathieu Ciancone","submitted_at":"2025-02-01T12:08:38Z","abstract_excerpt":"Large Language Model (LLM)-based systems, i.e. interconnected elements that include an LLM as a central component, such as conversational agents, are usually designed with monolithic, static architectures that rely on a single, general-purpose LLM to handle all user queries. However, these systems may be inefficient as different queries may require different levels of reasoning, domain knowledge or pre-processing. While generalist LLMs (e.g. GPT-4o, Claude-Sonnet) perform well across a wide range of tasks, they may incur significant financial, energy and computational costs. These costs may be"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.00409","kind":"arxiv","version":3},"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/2502.00409/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":"2026-07-05T11:40:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DTClS4io/nCq8nTVc4kIxUtzlRJHbf6q8ZM54CgNbCxK4h/nMI1ET4VwtuXUuPiVsRXa9+l7j1rbA2WL5ss7CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:37:46.129589Z"},"content_sha256":"80ce5d7946882d1d91435fdf13b0750586846a8837bc6c40ce55b446358f3596","schema_version":"1.0","event_id":"sha256:80ce5d7946882d1d91435fdf13b0750586846a8837bc6c40ce55b446358f3596"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XVHB66OTKJMQNJM6JYND2WYH5A/bundle.json","state_url":"https://pith.science/pith/XVHB66OTKJMQNJM6JYND2WYH5A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XVHB66OTKJMQNJM6JYND2WYH5A/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":"2026-08-03T16:37:46Z","links":{"resolver":"https://pith.science/pith/XVHB66OTKJMQNJM6JYND2WYH5A","bundle":"https://pith.science/pith/XVHB66OTKJMQNJM6JYND2WYH5A/bundle.json","state":"https://pith.science/pith/XVHB66OTKJMQNJM6JYND2WYH5A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XVHB66OTKJMQNJM6JYND2WYH5A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XVHB66OTKJMQNJM6JYND2WYH5A","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":"8d5abbb1bb598d49feed7bc032618aa9a3f0ee59c94dcf63c733eb5108805a3e","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-02-01T12:08:38Z","title_canon_sha256":"3346f9a5503784348938194d09d476f8d367d4ae38448e6ba5b1c724bd1a51b4"},"schema_version":"1.0","source":{"id":"2502.00409","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.00409","created_at":"2026-07-05T11:40:32Z"},{"alias_kind":"arxiv_version","alias_value":"2502.00409v3","created_at":"2026-07-05T11:40:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.00409","created_at":"2026-07-05T11:40:32Z"},{"alias_kind":"pith_short_12","alias_value":"XVHB66OTKJMQ","created_at":"2026-07-05T11:40:32Z"},{"alias_kind":"pith_short_16","alias_value":"XVHB66OTKJMQNJM6","created_at":"2026-07-05T11:40:32Z"},{"alias_kind":"pith_short_8","alias_value":"XVHB66OT","created_at":"2026-07-05T11:40:32Z"}],"graph_snapshots":[{"event_id":"sha256:80ce5d7946882d1d91435fdf13b0750586846a8837bc6c40ce55b446358f3596","target":"graph","created_at":"2026-07-05T11:40:32Z","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/2502.00409/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Model (LLM)-based systems, i.e. interconnected elements that include an LLM as a central component, such as conversational agents, are usually designed with monolithic, static architectures that rely on a single, general-purpose LLM to handle all user queries. However, these systems may be inefficient as different queries may require different levels of reasoning, domain knowledge or pre-processing. While generalist LLMs (e.g. GPT-4o, Claude-Sonnet) perform well across a wide range of tasks, they may incur significant financial, energy and computational costs. These costs may be","authors_text":"Antoine Gourru, Christophe Bouvard, Clovis Varangot-Reille, Fran\\c{c}ois Jacquenet, Marion Schaeffer, Mathieu Ciancone","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-02-01T12:08:38Z","title":"Doing More with Less: A Survey on Routing Strategies for Resource Optimisation in Large Language Model-Based Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.00409","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:da0dcbee46a1a17424bcaca462d5ab9212d1bbf4172c3e80d58ddcebd0171e32","target":"record","created_at":"2026-07-05T11:40:32Z","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":"8d5abbb1bb598d49feed7bc032618aa9a3f0ee59c94dcf63c733eb5108805a3e","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-02-01T12:08:38Z","title_canon_sha256":"3346f9a5503784348938194d09d476f8d367d4ae38448e6ba5b1c724bd1a51b4"},"schema_version":"1.0","source":{"id":"2502.00409","kind":"arxiv","version":3}},"canonical_sha256":"bd4e1f79d3525906a59e4e1a3d5b07e83b9bf1146ad60cc14169fab0f637b4eb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bd4e1f79d3525906a59e4e1a3d5b07e83b9bf1146ad60cc14169fab0f637b4eb","first_computed_at":"2026-07-05T11:40:32.543143Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:40:32.543143Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kHuvCPJsqK5lgu2rR2djAZygjpterPnSm/BdWdmCRmVEgvbnvmA4s/ORDA34pGp2qgl8xgxKTgHSdCewEloDCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:40:32.543687Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.00409","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:da0dcbee46a1a17424bcaca462d5ab9212d1bbf4172c3e80d58ddcebd0171e32","sha256:80ce5d7946882d1d91435fdf13b0750586846a8837bc6c40ce55b446358f3596"],"state_sha256":"395d09b0f2fb631cbfb818aa8c851436f24105e4635b8654739aec89c6233caf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qZvCUvXXZH74D35viLjvVU9RXeWbS5AlyxPnLcx3n5oFrfeep45PiusOtvC8J06rVQn23ioTY+Cetgv8pTBlBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T16:37:46.135287Z","bundle_sha256":"912da1ac9ffc2e589ecdf1c84c249395b2c2bd986cada1eb73b121d335894b4d"}}