{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:HLJXRV4GHX3XPAHPQL5QWID7FZ","short_pith_number":"pith:HLJXRV4G","canonical_record":{"source":{"id":"2402.12656","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-20T02:09:55Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"cfe18ff8b98bd3c248559044590f4ea1de943aa33cd4a4b64b8a9780ebb36f32","abstract_canon_sha256":"4b08a3d0eed548adb5618f968f63f83f4cb4373b58affe9da287035550898e76"},"schema_version":"1.0"},"canonical_sha256":"3ad378d7863df77780ef82fb0b207f2e4e3aecef2cb76ec6cfb697902d4d4f4a","source":{"kind":"arxiv","id":"2402.12656","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.12656","created_at":"2026-07-05T08:48:12Z"},{"alias_kind":"arxiv_version","alias_value":"2402.12656v4","created_at":"2026-07-05T08:48:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.12656","created_at":"2026-07-05T08:48:12Z"},{"alias_kind":"pith_short_12","alias_value":"HLJXRV4GHX3X","created_at":"2026-07-05T08:48:12Z"},{"alias_kind":"pith_short_16","alias_value":"HLJXRV4GHX3XPAHP","created_at":"2026-07-05T08:48:12Z"},{"alias_kind":"pith_short_8","alias_value":"HLJXRV4G","created_at":"2026-07-05T08:48:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:HLJXRV4GHX3XPAHPQL5QWID7FZ","target":"record","payload":{"canonical_record":{"source":{"id":"2402.12656","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-20T02:09:55Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"cfe18ff8b98bd3c248559044590f4ea1de943aa33cd4a4b64b8a9780ebb36f32","abstract_canon_sha256":"4b08a3d0eed548adb5618f968f63f83f4cb4373b58affe9da287035550898e76"},"schema_version":"1.0"},"canonical_sha256":"3ad378d7863df77780ef82fb0b207f2e4e3aecef2cb76ec6cfb697902d4d4f4a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:48:12.525621Z","signature_b64":"BLnHyh9LgXj9kLe2amvWkWeaDv3H6iMivG+HSEeJuBSBjrsgHOUZ/TBUwTI84gN3E6W60JruyBvqvB1mJcopCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3ad378d7863df77780ef82fb0b207f2e4e3aecef2cb76ec6cfb697902d4d4f4a","last_reissued_at":"2026-07-05T08:48:12.525154Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:48:12.525154Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.12656","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:48:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1WYSln2g48uySo6+13mCIQZIZqXad43K3lUfSGsFEFtMHHeWdY0FLsRDUanzGoTo9zgPfJMfpLOXTeZuaRKaBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T22:45:46.962957Z"},"content_sha256":"70009d7a4feb9f8b68154e86d3819d675411b1de710aa00d35a5df4507799426","schema_version":"1.0","event_id":"sha256:70009d7a4feb9f8b68154e86d3819d675411b1de710aa00d35a5df4507799426"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:HLJXRV4GHX3XPAHPQL5QWID7FZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Hao Zhao, Huijia Wu, Jie Fu, Zhaofeng He, Zihan Qiu, Zili Wang","submitted_at":"2024-02-20T02:09:55Z","abstract_excerpt":"The Mixture of Experts (MoE) for language models has been proven effective in augmenting the capacity of models by dynamically routing each input token to a specific subset of experts for processing. Despite the success, most existing methods face a challenge for balance between sparsity and the availability of expert knowledge: enhancing performance through increased use of expert knowledge often results in diminishing sparsity during expert selection. To mitigate this contradiction, we propose HyperMoE, a novel MoE framework built upon Hypernetworks. This framework integrates the computation"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.12656","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2402.12656/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:48:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XRjaJryqSbS+u6fUG8KyVW6Il3hJslR4Hvnn6ZFTxjIMDvD4H8qz4kAiYGYOulS4iroiVbcR8LPQLlzufM25Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T22:45:46.963493Z"},"content_sha256":"bbb6cd3c734f026551c515d411aa2ff43a16600672d244a05c4c7a86110db6bb","schema_version":"1.0","event_id":"sha256:bbb6cd3c734f026551c515d411aa2ff43a16600672d244a05c4c7a86110db6bb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HLJXRV4GHX3XPAHPQL5QWID7FZ/bundle.json","state_url":"https://pith.science/pith/HLJXRV4GHX3XPAHPQL5QWID7FZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HLJXRV4GHX3XPAHPQL5QWID7FZ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-08T22:45:46Z","links":{"resolver":"https://pith.science/pith/HLJXRV4GHX3XPAHPQL5QWID7FZ","bundle":"https://pith.science/pith/HLJXRV4GHX3XPAHPQL5QWID7FZ/bundle.json","state":"https://pith.science/pith/HLJXRV4GHX3XPAHPQL5QWID7FZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HLJXRV4GHX3XPAHPQL5QWID7FZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:HLJXRV4GHX3XPAHPQL5QWID7FZ","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":"4b08a3d0eed548adb5618f968f63f83f4cb4373b58affe9da287035550898e76","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-20T02:09:55Z","title_canon_sha256":"cfe18ff8b98bd3c248559044590f4ea1de943aa33cd4a4b64b8a9780ebb36f32"},"schema_version":"1.0","source":{"id":"2402.12656","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.12656","created_at":"2026-07-05T08:48:12Z"},{"alias_kind":"arxiv_version","alias_value":"2402.12656v4","created_at":"2026-07-05T08:48:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.12656","created_at":"2026-07-05T08:48:12Z"},{"alias_kind":"pith_short_12","alias_value":"HLJXRV4GHX3X","created_at":"2026-07-05T08:48:12Z"},{"alias_kind":"pith_short_16","alias_value":"HLJXRV4GHX3XPAHP","created_at":"2026-07-05T08:48:12Z"},{"alias_kind":"pith_short_8","alias_value":"HLJXRV4G","created_at":"2026-07-05T08:48:12Z"}],"graph_snapshots":[{"event_id":"sha256:bbb6cd3c734f026551c515d411aa2ff43a16600672d244a05c4c7a86110db6bb","target":"graph","created_at":"2026-07-05T08:48:12Z","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/2402.12656/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The Mixture of Experts (MoE) for language models has been proven effective in augmenting the capacity of models by dynamically routing each input token to a specific subset of experts for processing. Despite the success, most existing methods face a challenge for balance between sparsity and the availability of expert knowledge: enhancing performance through increased use of expert knowledge often results in diminishing sparsity during expert selection. To mitigate this contradiction, we propose HyperMoE, a novel MoE framework built upon Hypernetworks. This framework integrates the computation","authors_text":"Hao Zhao, Huijia Wu, Jie Fu, Zhaofeng He, Zihan Qiu, Zili Wang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-20T02:09:55Z","title":"HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.12656","kind":"arxiv","version":4},"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":"sha256:70009d7a4feb9f8b68154e86d3819d675411b1de710aa00d35a5df4507799426","target":"record","created_at":"2026-07-05T08:48:12Z","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":"4b08a3d0eed548adb5618f968f63f83f4cb4373b58affe9da287035550898e76","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-20T02:09:55Z","title_canon_sha256":"cfe18ff8b98bd3c248559044590f4ea1de943aa33cd4a4b64b8a9780ebb36f32"},"schema_version":"1.0","source":{"id":"2402.12656","kind":"arxiv","version":4}},"canonical_sha256":"3ad378d7863df77780ef82fb0b207f2e4e3aecef2cb76ec6cfb697902d4d4f4a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3ad378d7863df77780ef82fb0b207f2e4e3aecef2cb76ec6cfb697902d4d4f4a","first_computed_at":"2026-07-05T08:48:12.525154Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:48:12.525154Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BLnHyh9LgXj9kLe2amvWkWeaDv3H6iMivG+HSEeJuBSBjrsgHOUZ/TBUwTI84gN3E6W60JruyBvqvB1mJcopCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:48:12.525621Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.12656","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:70009d7a4feb9f8b68154e86d3819d675411b1de710aa00d35a5df4507799426","sha256:bbb6cd3c734f026551c515d411aa2ff43a16600672d244a05c4c7a86110db6bb"],"state_sha256":"9fac3d763c8af1f5bef19a2085888410d55237d10ecd9d47eb41f16cbf2c63e1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x7BtmsfGmN9R1Gz91zRelpXSAOAjGtaGF4Eq8LYaZRDGawkclJA/et1saaePJM9AkUQGWEnfCmxB6DzIhJHMDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T22:45:46.967997Z","bundle_sha256":"17813983c722e6228855ad240dbed359c89d9ebe78cd81970c49eb4a78793318"}}