{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:EPJYVJIVMAIU3JNVL4TM5SGABF","short_pith_number":"pith:EPJYVJIV","schema_version":"1.0","canonical_sha256":"23d38aa51560114da5b55f26cec8c00940ec6a999b24616743248ec8d4243706","source":{"kind":"arxiv","id":"2606.13241","version":1},"attestation_state":"computed","paper":{"title":"Brick: Spatial Capability Routing for the Mixture-of-Models (MoM) Paradigm","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Francesco Massa, Marco Cristofanilli","submitted_at":"2026-06-11T11:54:07Z","abstract_excerpt":"Defining query difficulty is one of the hardest problems in deployment engineering. Existing LLM routers rely on surface features such as domain labels, keywords, and token count, ignoring the within-domain variance that actually determines model success. Frontier models cost ten to one hundred times more than local open-weight models, so at production scale even small per-request savings become a direct cloud-bill lever. We present Brick, a multimodal router that scores each model on six capability dimensions, combines this with a per-query difficulty estimate, and dispatches via a cost-penal"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.13241","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-11T11:54:07Z","cross_cats_sorted":[],"title_canon_sha256":"56580c3fed6f73c772e028af6726c434d0b63dfbc49579d17c0f1fe2fee09ad5","abstract_canon_sha256":"e6de3ca33fcc4402d3ae1f27f0eba99143a99c84797c5ba343240039defabf5a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-12T01:09:48.574591Z","signature_b64":"LM/cV4EdFYi8RvDeH1CCTYze48sb9zG5msVRwEnCqKYjnNwJQlZkTJJSQtQPr/zN5C3AHKhWytGFMz7EtEDTCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"23d38aa51560114da5b55f26cec8c00940ec6a999b24616743248ec8d4243706","last_reissued_at":"2026-06-12T01:09:48.573713Z","signature_status":"signed_v1","first_computed_at":"2026-06-12T01:09:48.573713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Brick: Spatial Capability Routing for the Mixture-of-Models (MoM) Paradigm","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Francesco Massa, Marco Cristofanilli","submitted_at":"2026-06-11T11:54:07Z","abstract_excerpt":"Defining query difficulty is one of the hardest problems in deployment engineering. Existing LLM routers rely on surface features such as domain labels, keywords, and token count, ignoring the within-domain variance that actually determines model success. Frontier models cost ten to one hundred times more than local open-weight models, so at production scale even small per-request savings become a direct cloud-bill lever. We present Brick, a multimodal router that scores each model on six capability dimensions, combines this with a per-query difficulty estimate, and dispatches via a cost-penal"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.13241","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/2606.13241/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.13241","created_at":"2026-06-12T01:09:48.573851+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.13241v1","created_at":"2026-06-12T01:09:48.573851+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.13241","created_at":"2026-06-12T01:09:48.573851+00:00"},{"alias_kind":"pith_short_12","alias_value":"EPJYVJIVMAIU","created_at":"2026-06-12T01:09:48.573851+00:00"},{"alias_kind":"pith_short_16","alias_value":"EPJYVJIVMAIU3JNV","created_at":"2026-06-12T01:09:48.573851+00:00"},{"alias_kind":"pith_short_8","alias_value":"EPJYVJIV","created_at":"2026-06-12T01:09:48.573851+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/EPJYVJIVMAIU3JNVL4TM5SGABF","json":"https://pith.science/pith/EPJYVJIVMAIU3JNVL4TM5SGABF.json","graph_json":"https://pith.science/api/pith-number/EPJYVJIVMAIU3JNVL4TM5SGABF/graph.json","events_json":"https://pith.science/api/pith-number/EPJYVJIVMAIU3JNVL4TM5SGABF/events.json","paper":"https://pith.science/paper/EPJYVJIV"},"agent_actions":{"view_html":"https://pith.science/pith/EPJYVJIVMAIU3JNVL4TM5SGABF","download_json":"https://pith.science/pith/EPJYVJIVMAIU3JNVL4TM5SGABF.json","view_paper":"https://pith.science/paper/EPJYVJIV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.13241&json=true","fetch_graph":"https://pith.science/api/pith-number/EPJYVJIVMAIU3JNVL4TM5SGABF/graph.json","fetch_events":"https://pith.science/api/pith-number/EPJYVJIVMAIU3JNVL4TM5SGABF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EPJYVJIVMAIU3JNVL4TM5SGABF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EPJYVJIVMAIU3JNVL4TM5SGABF/action/storage_attestation","attest_author":"https://pith.science/pith/EPJYVJIVMAIU3JNVL4TM5SGABF/action/author_attestation","sign_citation":"https://pith.science/pith/EPJYVJIVMAIU3JNVL4TM5SGABF/action/citation_signature","submit_replication":"https://pith.science/pith/EPJYVJIVMAIU3JNVL4TM5SGABF/action/replication_record"}},"created_at":"2026-06-12T01:09:48.573851+00:00","updated_at":"2026-06-12T01:09:48.573851+00:00"}