{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NE7W423ILRZWFNV6RN6FMRIGIU","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":"0076d214a7fc81e9dac5dfedd3ea75272281e3959a28b09cd63e02dd5896f524","cross_cats_sorted":["cs.AI","cs.DC"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-26T14:32:56Z","title_canon_sha256":"93117bad2bdca10e1a25d72d608b7b594cb619ec7604118ae9cdf04c6d94b608"},"schema_version":"1.0","source":{"id":"2605.27081","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.27081","created_at":"2026-05-27T01:06:27Z"},{"alias_kind":"arxiv_version","alias_value":"2605.27081v1","created_at":"2026-05-27T01:06:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.27081","created_at":"2026-05-27T01:06:27Z"},{"alias_kind":"pith_short_12","alias_value":"NE7W423ILRZW","created_at":"2026-05-27T01:06:27Z"},{"alias_kind":"pith_short_16","alias_value":"NE7W423ILRZWFNV6","created_at":"2026-05-27T01:06:27Z"},{"alias_kind":"pith_short_8","alias_value":"NE7W423I","created_at":"2026-05-27T01:06:27Z"}],"graph_snapshots":[{"event_id":"sha256:6ca7709f48a4d9adefe9750e23516cbce924f430aed0161412ba9f53e867fd3a","target":"graph","created_at":"2026-05-27T01:06:27Z","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/2605.27081/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Fine-grained Mixture-of-Experts (MoE) models sparsely activate only a subset of experts per token, reducing activated computation while maintaining high model capacity. However, in memory-constrained inference scenarios, only a small set of experts can be cached. Experts not in the cache must be fetched from slow external storage (e.g., UFS), leading to frequent evictions and substantial I/O overhead.\n  We propose ReMoE, a router fine-tuning framework designed to boost token-wise expert reuse. ReMoE biases the router toward recently selected experts, producing temporally stable routing that be","authors_text":"Liang Wang, Limin Xiao, Tianyang Jiang, Xiaojian Liao, Xiongwei Zhu, Yusen Zhang","cross_cats":["cs.AI","cs.DC"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-26T14:32:56Z","title":"ReMoE: Boosting Expert Reuse through Router Fine-Tuning in Memory-Constrained MoE LLM Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.27081","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":"sha256:25b00ff0c92ad0e7702016585af49e15ea6658a03584b032c126e912b9d13915","target":"record","created_at":"2026-05-27T01:06:27Z","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":"0076d214a7fc81e9dac5dfedd3ea75272281e3959a28b09cd63e02dd5896f524","cross_cats_sorted":["cs.AI","cs.DC"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-26T14:32:56Z","title_canon_sha256":"93117bad2bdca10e1a25d72d608b7b594cb619ec7604118ae9cdf04c6d94b608"},"schema_version":"1.0","source":{"id":"2605.27081","kind":"arxiv","version":1}},"canonical_sha256":"693f6e6b685c7362b6be8b7c56450645135e367ede4c249cabd997f655aa4203","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"693f6e6b685c7362b6be8b7c56450645135e367ede4c249cabd997f655aa4203","first_computed_at":"2026-05-27T01:06:27.308937Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-27T01:06:27.308937Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2VeugPQFRz3mxzdEn6TnjIPtxCt4NR/LgN+S1Zi/KzEGZ7DTcgEnWvRiIPFTH2ffUdxsxOLQuw4psKGp3TtsBQ==","signature_status":"signed_v1","signed_at":"2026-05-27T01:06:27.309432Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.27081","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:25b00ff0c92ad0e7702016585af49e15ea6658a03584b032c126e912b9d13915","sha256:6ca7709f48a4d9adefe9750e23516cbce924f430aed0161412ba9f53e867fd3a"],"state_sha256":"1aca389b3c1a9e7bc6ef3a4d18c5cd15f24e81106b3a676b94872e3633e1b21d"}