{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:22M3HBJ4ANVNJTN56RI73FO4HC","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":"475c57cc102411f52443b686205f5927b97c2669a3ba0ea5edd23a541488eed8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-29T07:15:12Z","title_canon_sha256":"54cdd84b03b905bfee7473593ddbc068c2adb2e846a73bace7018f978454f64d"},"schema_version":"1.0","source":{"id":"2503.22996","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.22996","created_at":"2026-06-01T01:02:15Z"},{"alias_kind":"arxiv_version","alias_value":"2503.22996v3","created_at":"2026-06-01T01:02:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.22996","created_at":"2026-06-01T01:02:15Z"},{"alias_kind":"pith_short_12","alias_value":"22M3HBJ4ANVN","created_at":"2026-06-01T01:02:15Z"},{"alias_kind":"pith_short_16","alias_value":"22M3HBJ4ANVNJTN5","created_at":"2026-06-01T01:02:15Z"},{"alias_kind":"pith_short_8","alias_value":"22M3HBJ4","created_at":"2026-06-01T01:02:15Z"}],"graph_snapshots":[{"event_id":"sha256:6b11ca2a659e6c4daf0d71af80bc25145bf643af8d5729b5eff7bb233604a3e4","target":"graph","created_at":"2026-06-01T01:02:15Z","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/2503.22996/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Sparse Mixture of Experts (SMoE) models scale the capacity of models while maintaining constant computational overhead. SMoE methods fall into two categories: Token Choice, which routes each token to a fixed number of experts, and Expert Choice, which assigns a fixed number of tokens to each expert. However, the use of fixed budgets for tokens or experts causes both approaches to select irrelevant token-expert pairs or overlook critical assignments, which degrades overall performance. To fill that gap, we rethink SMoE from a unified perspective through the lens of linear programming, which pro","authors_text":"Giang Do, Hung Le, Truyen Tran","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-29T07:15:12Z","title":"Rethinking Sparse Mixture of Experts from a Unified Perspective"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.22996","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:de2d3299706a72863ffcb26d40149e7c0bad1cbaaea66b649a6f0b7c62af391d","target":"record","created_at":"2026-06-01T01:02:15Z","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":"475c57cc102411f52443b686205f5927b97c2669a3ba0ea5edd23a541488eed8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-29T07:15:12Z","title_canon_sha256":"54cdd84b03b905bfee7473593ddbc068c2adb2e846a73bace7018f978454f64d"},"schema_version":"1.0","source":{"id":"2503.22996","kind":"arxiv","version":3}},"canonical_sha256":"d699b3853c036ad4cdbdf451fd95dc38aa35a88da314e6dba2da17e599d14ccc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d699b3853c036ad4cdbdf451fd95dc38aa35a88da314e6dba2da17e599d14ccc","first_computed_at":"2026-06-01T01:02:15.494060Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T01:02:15.494060Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GYs230JHbN9ZuMa6JVpzkEGdZXv/KTRWWqtLHPjAzx+PcdfmRryzAFOIzJzbauISYS6QnF8xThshKMNdyIy3Bg==","signature_status":"signed_v1","signed_at":"2026-06-01T01:02:15.495179Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.22996","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:de2d3299706a72863ffcb26d40149e7c0bad1cbaaea66b649a6f0b7c62af391d","sha256:6b11ca2a659e6c4daf0d71af80bc25145bf643af8d5729b5eff7bb233604a3e4"],"state_sha256":"c9bf6ee176dac8e8e960db9bc5149c827293762da9992105cf161ed386239e15"}