{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:3TUE3AJ2EKLGMYACTPERP6RY7P","short_pith_number":"pith:3TUE3AJ2","canonical_record":{"source":{"id":"2410.07348","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-09T18:01:27Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"de0a391c1bba3b3a58b1c7d917ce8461029e5cb0a97533d23d36c74f355cf7d2","abstract_canon_sha256":"93941d78c76374e1a36948dc389f99dce4b57abf1511a8471f8f2ae3a914196a"},"schema_version":"1.0"},"canonical_sha256":"dce84d813a22966660029bc917fa38fbd7a81f2df6727c9130535edc5d5cef77","source":{"kind":"arxiv","id":"2410.07348","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.07348","created_at":"2026-07-05T09:18:34Z"},{"alias_kind":"arxiv_version","alias_value":"2410.07348v1","created_at":"2026-07-05T09:18:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.07348","created_at":"2026-07-05T09:18:34Z"},{"alias_kind":"pith_short_12","alias_value":"3TUE3AJ2EKLG","created_at":"2026-07-05T09:18:34Z"},{"alias_kind":"pith_short_16","alias_value":"3TUE3AJ2EKLGMYAC","created_at":"2026-07-05T09:18:34Z"},{"alias_kind":"pith_short_8","alias_value":"3TUE3AJ2","created_at":"2026-07-05T09:18:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:3TUE3AJ2EKLGMYACTPERP6RY7P","target":"record","payload":{"canonical_record":{"source":{"id":"2410.07348","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-09T18:01:27Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"de0a391c1bba3b3a58b1c7d917ce8461029e5cb0a97533d23d36c74f355cf7d2","abstract_canon_sha256":"93941d78c76374e1a36948dc389f99dce4b57abf1511a8471f8f2ae3a914196a"},"schema_version":"1.0"},"canonical_sha256":"dce84d813a22966660029bc917fa38fbd7a81f2df6727c9130535edc5d5cef77","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:18:34.917995Z","signature_b64":"2iC/SxE5DBx8HPHyyi4vLUJUGr+HEpoYRCURN7BHaNoPl+NWbRZXrpWe7A8Udh1FoJeQ44+tcA3/blkz19axDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dce84d813a22966660029bc917fa38fbd7a81f2df6727c9130535edc5d5cef77","last_reissued_at":"2026-07-05T09:18:34.917566Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:18:34.917566Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.07348","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:18:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9LltZuCPBI6j5dmpe1J7SY7PtP5gzFtW5a3a8GAsPsj3TYTPs/v7PQPKDAu7JVAGWreLpjMGOlQYs9u6yaPsCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:31:03.601069Z"},"content_sha256":"2537d61f280aec01a82d580759b6ea1d71788a4b1b7a440549d2a37f9e37e52f","schema_version":"1.0","event_id":"sha256:2537d61f280aec01a82d580759b6ea1d71788a4b1b7a440549d2a37f9e37e52f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:3TUE3AJ2EKLGMYACTPERP6RY7P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Experts","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Bo Zhu, Li Yuan, Peng Jin, Shuicheng Yan","submitted_at":"2024-10-09T18:01:27Z","abstract_excerpt":"In this work, we aim to simultaneously enhance the effectiveness and efficiency of Mixture-of-Experts (MoE) methods. To achieve this, we propose MoE++, a general and heterogeneous MoE framework that integrates both Feed-Forward Network~(FFN) and zero-computation experts. Specifically, we introduce three types of zero-computation experts: the zero expert, copy expert, and constant expert, which correspond to discard, skip, and replace operations, respectively. This design offers three key advantages: (i) Low Computing Overhead: Unlike the uniform mixing mechanism for all tokens within vanilla M"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.07348","kind":"arxiv","version":1},"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/2410.07348/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":"2026-07-05T09:18:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6diJfI3O05M2y046n0XYtNLhHqlfmSRlT9fPOJUEdKsyXJRGrDAnC14ozMcrKuD0Qmorm+PAGIkZdhqrJhJaBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:31:03.601583Z"},"content_sha256":"8f9d149c4fbd8c44cc0fe56806ece8ce24ddfdfd284d1b5f9280523fa903bff0","schema_version":"1.0","event_id":"sha256:8f9d149c4fbd8c44cc0fe56806ece8ce24ddfdfd284d1b5f9280523fa903bff0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3TUE3AJ2EKLGMYACTPERP6RY7P/bundle.json","state_url":"https://pith.science/pith/3TUE3AJ2EKLGMYACTPERP6RY7P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3TUE3AJ2EKLGMYACTPERP6RY7P/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":"2026-08-07T18:31:03Z","links":{"resolver":"https://pith.science/pith/3TUE3AJ2EKLGMYACTPERP6RY7P","bundle":"https://pith.science/pith/3TUE3AJ2EKLGMYACTPERP6RY7P/bundle.json","state":"https://pith.science/pith/3TUE3AJ2EKLGMYACTPERP6RY7P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3TUE3AJ2EKLGMYACTPERP6RY7P/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3TUE3AJ2EKLGMYACTPERP6RY7P","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":"93941d78c76374e1a36948dc389f99dce4b57abf1511a8471f8f2ae3a914196a","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-09T18:01:27Z","title_canon_sha256":"de0a391c1bba3b3a58b1c7d917ce8461029e5cb0a97533d23d36c74f355cf7d2"},"schema_version":"1.0","source":{"id":"2410.07348","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.07348","created_at":"2026-07-05T09:18:34Z"},{"alias_kind":"arxiv_version","alias_value":"2410.07348v1","created_at":"2026-07-05T09:18:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.07348","created_at":"2026-07-05T09:18:34Z"},{"alias_kind":"pith_short_12","alias_value":"3TUE3AJ2EKLG","created_at":"2026-07-05T09:18:34Z"},{"alias_kind":"pith_short_16","alias_value":"3TUE3AJ2EKLGMYAC","created_at":"2026-07-05T09:18:34Z"},{"alias_kind":"pith_short_8","alias_value":"3TUE3AJ2","created_at":"2026-07-05T09:18:34Z"}],"graph_snapshots":[{"event_id":"sha256:8f9d149c4fbd8c44cc0fe56806ece8ce24ddfdfd284d1b5f9280523fa903bff0","target":"graph","created_at":"2026-07-05T09:18:34Z","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/2410.07348/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this work, we aim to simultaneously enhance the effectiveness and efficiency of Mixture-of-Experts (MoE) methods. To achieve this, we propose MoE++, a general and heterogeneous MoE framework that integrates both Feed-Forward Network~(FFN) and zero-computation experts. Specifically, we introduce three types of zero-computation experts: the zero expert, copy expert, and constant expert, which correspond to discard, skip, and replace operations, respectively. This design offers three key advantages: (i) Low Computing Overhead: Unlike the uniform mixing mechanism for all tokens within vanilla M","authors_text":"Bo Zhu, Li Yuan, Peng Jin, Shuicheng Yan","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-09T18:01:27Z","title":"MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Experts"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.07348","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":"sha256:2537d61f280aec01a82d580759b6ea1d71788a4b1b7a440549d2a37f9e37e52f","target":"record","created_at":"2026-07-05T09:18:34Z","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":"93941d78c76374e1a36948dc389f99dce4b57abf1511a8471f8f2ae3a914196a","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-09T18:01:27Z","title_canon_sha256":"de0a391c1bba3b3a58b1c7d917ce8461029e5cb0a97533d23d36c74f355cf7d2"},"schema_version":"1.0","source":{"id":"2410.07348","kind":"arxiv","version":1}},"canonical_sha256":"dce84d813a22966660029bc917fa38fbd7a81f2df6727c9130535edc5d5cef77","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dce84d813a22966660029bc917fa38fbd7a81f2df6727c9130535edc5d5cef77","first_computed_at":"2026-07-05T09:18:34.917566Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:18:34.917566Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2iC/SxE5DBx8HPHyyi4vLUJUGr+HEpoYRCURN7BHaNoPl+NWbRZXrpWe7A8Udh1FoJeQ44+tcA3/blkz19axDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:18:34.917995Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.07348","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2537d61f280aec01a82d580759b6ea1d71788a4b1b7a440549d2a37f9e37e52f","sha256:8f9d149c4fbd8c44cc0fe56806ece8ce24ddfdfd284d1b5f9280523fa903bff0"],"state_sha256":"2da723e46966cf43941eeb9d687e5266d95a1d5917eb1d7e14638a44b9a2ad7b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HWINlZPpUGBeIrWAMQlXd9FRhm6Y4rt6zmpaB488OxYReVnQrilXfm3u8NtqgdwmH/gkntaIp0wcFlnJezUnDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T18:31:03.606179Z","bundle_sha256":"a1d64413c4dafb1f0b9361cc120ea6140b24752f3fd539ff10be3e9be87ff0db"}}