{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZERXMQ533RGLM54Q33GCDC322N","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":"d5fdfb9730f96f6090565917ed37e1a2567b0729ecaa7b4e46d2ad1847dbc0c0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-09-10T17:36:15Z","title_canon_sha256":"ed790cda36e95fb6dcb07cbc3ef084ac2ef9ea69bfd4c1f54e019affd9705c5a"},"schema_version":"1.0","source":{"id":"2409.06669","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.06669","created_at":"2026-07-05T09:05:27Z"},{"alias_kind":"arxiv_version","alias_value":"2409.06669v1","created_at":"2026-07-05T09:05:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.06669","created_at":"2026-07-05T09:05:27Z"},{"alias_kind":"pith_short_12","alias_value":"ZERXMQ533RGL","created_at":"2026-07-05T09:05:27Z"},{"alias_kind":"pith_short_16","alias_value":"ZERXMQ533RGLM54Q","created_at":"2026-07-05T09:05:27Z"},{"alias_kind":"pith_short_8","alias_value":"ZERXMQ53","created_at":"2026-07-05T09:05:27Z"}],"graph_snapshots":[{"event_id":"sha256:8a596e8cb430ff88a4df016c442e58d82372ed40df44f980ffd685c9a00f15f0","target":"graph","created_at":"2026-07-05T09:05:27Z","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/2409.06669/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Transformer-based Mixture-of-Experts (MoE) models have been driving several recent technological advancements in Natural Language Processing (NLP). These MoE models adopt a router mechanism to determine which experts to activate for routing input tokens. However, existing router mechanisms allocate a fixed number of experts to each token, which neglects the varying importance of different input tokens. In this study, we propose a novel dynamic router mechanism that Dynamically Allocates a variable number of experts for Mixture-of-Experts (DA-MoE) models based on an effective token importance m","authors_text":"Hongpeng Jin, Maryam Akhavan Aghdam, Yanzhao Wu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-09-10T17:36:15Z","title":"DA-MoE: Towards Dynamic Expert Allocation for Mixture-of-Experts Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.06669","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:c61805bc58acfff5b71590c66db0a1071fcf444b491edf5b254b985102abb013","target":"record","created_at":"2026-07-05T09:05:27Z","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":"d5fdfb9730f96f6090565917ed37e1a2567b0729ecaa7b4e46d2ad1847dbc0c0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-09-10T17:36:15Z","title_canon_sha256":"ed790cda36e95fb6dcb07cbc3ef084ac2ef9ea69bfd4c1f54e019affd9705c5a"},"schema_version":"1.0","source":{"id":"2409.06669","kind":"arxiv","version":1}},"canonical_sha256":"c9237643bbdc4cb67790decc218b7ad3516b2eefa228ea647cccf4b038107476","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c9237643bbdc4cb67790decc218b7ad3516b2eefa228ea647cccf4b038107476","first_computed_at":"2026-07-05T09:05:27.960367Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:05:27.960367Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iggUOlXVMBQ9vU94KxlaJIFerrJI6Q7Mxr2MqjFDPA1NwOHtzWXPvnx6WRnmKgbLtTCErQ9wUk4tVMMSKXBxAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:05:27.960833Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.06669","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c61805bc58acfff5b71590c66db0a1071fcf444b491edf5b254b985102abb013","sha256:8a596e8cb430ff88a4df016c442e58d82372ed40df44f980ffd685c9a00f15f0"],"state_sha256":"1b28cbab0043274d1fe4d518bbe2862790f1154cd0483c0ae377fd49d9854b19"}