{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:3FB4T352V2FB5BQBTTJ5LXB64W","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":"22345b78079534780cecba1860687cfed603434932178c09886ad72fe568c116","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-08T03:36:41Z","title_canon_sha256":"a102e423d195d2e645156b7629fb25ae5c5c595b6faad82608e2663394b44f33"},"schema_version":"1.0","source":{"id":"2608.07890","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.07890","created_at":"2026-08-11T01:18:50Z"},{"alias_kind":"arxiv_version","alias_value":"2608.07890v1","created_at":"2026-08-11T01:18:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.07890","created_at":"2026-08-11T01:18:50Z"},{"alias_kind":"pith_short_12","alias_value":"3FB4T352V2FB","created_at":"2026-08-11T01:18:50Z"},{"alias_kind":"pith_short_16","alias_value":"3FB4T352V2FB5BQB","created_at":"2026-08-11T01:18:50Z"},{"alias_kind":"pith_short_8","alias_value":"3FB4T352","created_at":"2026-08-11T01:18:50Z"}],"graph_snapshots":[{"event_id":"sha256:fa15b03133cc543db824943fc0960ee5c1dd91fa4ef50e83004b37e75aa6d778","target":"graph","created_at":"2026-08-11T01:18:50Z","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/2608.07890/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Mixture-of-Experts (MoE) models decouple total parameters from per-token compute, but deployment still requires storing every expert. Recent theory shows that pruning experts with the smallest router-norm changes during fine-tuning can preserve accuracy, but assumes full fine-tuning. We test whether lightweight adaptation can recover this signal. We briefly fine-tune with a parameter-efficient adapter, rank experts by the induced $\\ell_2$ router change, and prune the least-changed experts in one shot. On Mixtral-8$\\times$7B-Instruct (44.83% MMLU-Pro), router-only LoRA trains 0.002% of paramete","authors_text":"Ali Janati, Kaoutar El Maghraoui, Owen Zou, Wenyuan Shen, Xinyi Luo, Yankai Mao","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-08T03:36:41Z","title":"Router Sensitivity Under Lightweight Fine-Tuning Identifies Prunable Experts in Mixture-of-Experts Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.07890","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":"sha256:0669ca31a7e53cab34ed374cd1e017c9f99989fd6fa033c63c02a2b9f995e2dc","target":"record","created_at":"2026-08-11T01:18:50Z","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":"22345b78079534780cecba1860687cfed603434932178c09886ad72fe568c116","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-08T03:36:41Z","title_canon_sha256":"a102e423d195d2e645156b7629fb25ae5c5c595b6faad82608e2663394b44f33"},"schema_version":"1.0","source":{"id":"2608.07890","kind":"arxiv","version":1}},"canonical_sha256":"d943c9efbaae8a1e86019cd3d5dc3ee59b203851e38d2e622a0c0c73e2d3402a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d943c9efbaae8a1e86019cd3d5dc3ee59b203851e38d2e622a0c0c73e2d3402a","first_computed_at":"2026-08-11T01:18:50.971580Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-11T01:18:50.971580Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Q1xTA3Wvrdq1IccqwFFVvdpqxElXCaoDuMNJ9Bbc4btpudIWN1kgosxQZ61bLTM3/A+oBgI+l287BU6p1M+VBA==","signature_status":"signed_v1","signed_at":"2026-08-11T01:18:50.974064Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.07890","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0669ca31a7e53cab34ed374cd1e017c9f99989fd6fa033c63c02a2b9f995e2dc","sha256:fa15b03133cc543db824943fc0960ee5c1dd91fa4ef50e83004b37e75aa6d778"],"state_sha256":"28a45f07b0ab9d49b89e6f89320bf53140fd5858ad748660d460fc1cbc724b2c"}