{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:FM6KO3CVRVPLWEIIGANZZHGPSK","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":"f195f586c7b46335cfdbf9af0793d750b309edc635fb5c0284e5dc97d8184d24","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-30T13:40:51Z","title_canon_sha256":"73dc2f525c849c600957a05cfedabc3f3505c1b67bff0db9dd36fe3466aed7f7"},"schema_version":"1.0","source":{"id":"2505.24593","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.24593","created_at":"2026-07-05T11:19:27Z"},{"alias_kind":"arxiv_version","alias_value":"2505.24593v2","created_at":"2026-07-05T11:19:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.24593","created_at":"2026-07-05T11:19:27Z"},{"alias_kind":"pith_short_12","alias_value":"FM6KO3CVRVPL","created_at":"2026-07-05T11:19:27Z"},{"alias_kind":"pith_short_16","alias_value":"FM6KO3CVRVPLWEII","created_at":"2026-07-05T11:19:27Z"},{"alias_kind":"pith_short_8","alias_value":"FM6KO3CV","created_at":"2026-07-05T11:19:27Z"}],"graph_snapshots":[{"event_id":"sha256:84d389e000ec05f625f311e30706ceeb20fb0b8088ac839d66e1c21b402322ba","target":"graph","created_at":"2026-07-05T11:19:27Z","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/2505.24593/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The interpretability of Mixture-of-Experts (MoE) models, especially those with heterogeneous designs, remains underexplored. Existing attribution methods for dense models fail to capture dynamic routing-expert interactions in sparse MoE architectures. To address this issue, we propose a cross-level attribution algorithm to analyze sparse MoE architectures (Qwen 1.5-MoE, OLMoE, Mixtral-8x7B) against dense models (Qwen 1.5-7B, Llama-7B, Mistral-7B). Results show MoE models achieve 37% higher per-layer efficiency via a \"mid-activation, late-amplification\" pattern: early layers screen experts, whi","authors_text":"Bo Wang, Jia Liu, Junzhuo Li, Peijie Jiang, Xiuze Zhou, Xuming Hu","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-30T13:40:51Z","title":"Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.24593","kind":"arxiv","version":2},"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:fa38cc49f6beac577f681531f9bd43325836e6c4f37291d5e34f4d20a90c2094","target":"record","created_at":"2026-07-05T11:19:27Z","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":"f195f586c7b46335cfdbf9af0793d750b309edc635fb5c0284e5dc97d8184d24","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-30T13:40:51Z","title_canon_sha256":"73dc2f525c849c600957a05cfedabc3f3505c1b67bff0db9dd36fe3466aed7f7"},"schema_version":"1.0","source":{"id":"2505.24593","kind":"arxiv","version":2}},"canonical_sha256":"2b3ca76c558d5ebb1108301b9c9ccf929e443b99a9c7b730a91581e2d0f576e0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2b3ca76c558d5ebb1108301b9c9ccf929e443b99a9c7b730a91581e2d0f576e0","first_computed_at":"2026-07-05T11:19:27.573220Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:19:27.573220Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8SG3DO3QcP2rPy5JynYN4WDFgmAEI1L2Sn+xAN/3o4GYAAquf5SgSwuDRFqbqAJ0hUHWSaEZ0o69LmHgiGRUCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:19:27.573722Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.24593","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fa38cc49f6beac577f681531f9bd43325836e6c4f37291d5e34f4d20a90c2094","sha256:84d389e000ec05f625f311e30706ceeb20fb0b8088ac839d66e1c21b402322ba"],"state_sha256":"74d789e99b29822a01ad95ea814ae5c3eab693dea75e21683c1fcd8f04efa49a"}