{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:IWFB3USPJA4FCMFZ6W2L7NS6GE","short_pith_number":"pith:IWFB3USP","canonical_record":{"source":{"id":"2502.06643","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-10T16:34:36Z","cross_cats_sorted":["cs.DC"],"title_canon_sha256":"3727a9803775c3d1860c545c5aba2a80fef6bdd9becb1c5a1142a969929b0329","abstract_canon_sha256":"98891c9e3a993f68e48280dec42a48a3f89602383120ddea41cd1e70213e2395"},"schema_version":"1.0"},"canonical_sha256":"458a1dd24f48385130b9f5b4bfb65e31255a5330f6d0fe2af5a1fe2c731ab5ef","source":{"kind":"arxiv","id":"2502.06643","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.06643","created_at":"2026-07-05T10:12:10Z"},{"alias_kind":"arxiv_version","alias_value":"2502.06643v1","created_at":"2026-07-05T10:12:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.06643","created_at":"2026-07-05T10:12:10Z"},{"alias_kind":"pith_short_12","alias_value":"IWFB3USPJA4F","created_at":"2026-07-05T10:12:10Z"},{"alias_kind":"pith_short_16","alias_value":"IWFB3USPJA4FCMFZ","created_at":"2026-07-05T10:12:10Z"},{"alias_kind":"pith_short_8","alias_value":"IWFB3USP","created_at":"2026-07-05T10:12:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:IWFB3USPJA4FCMFZ6W2L7NS6GE","target":"record","payload":{"canonical_record":{"source":{"id":"2502.06643","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-10T16:34:36Z","cross_cats_sorted":["cs.DC"],"title_canon_sha256":"3727a9803775c3d1860c545c5aba2a80fef6bdd9becb1c5a1142a969929b0329","abstract_canon_sha256":"98891c9e3a993f68e48280dec42a48a3f89602383120ddea41cd1e70213e2395"},"schema_version":"1.0"},"canonical_sha256":"458a1dd24f48385130b9f5b4bfb65e31255a5330f6d0fe2af5a1fe2c731ab5ef","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:12:10.032848Z","signature_b64":"DZrsV3m2zXC+/Yin7F4Gsl4+6YR2iyTOD9zpXaY1L5tJejQBiBa1rBOlSAAJKLdYOIwoZLQBPkPOUOCuEKkuDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"458a1dd24f48385130b9f5b4bfb65e31255a5330f6d0fe2af5a1fe2c731ab5ef","last_reissued_at":"2026-07-05T10:12:10.032399Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:12:10.032399Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.06643","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":"2026-07-05T10:12:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mx1SmfdnOBVjc0npHflV10YVxHIX3UtDo7k6xsVUrZ7udpxqtQG78XdfKmBgI6AFzAQe+7Iqad0PhOYRCI2LDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T20:58:12.580158Z"},"content_sha256":"78f0ae50eeec2ffedce67cfef1d62551674e132103ea0eabb4632e8287e13d50","schema_version":"1.0","event_id":"sha256:78f0ae50eeec2ffedce67cfef1d62551674e132103ea0eabb4632e8287e13d50"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:IWFB3USPJA4FCMFZ6W2L7NS6GE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MoETuner: Optimized Mixture of Expert Serving with Balanced Expert Placement and Token Routing","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.DC"],"primary_cat":"cs.LG","authors_text":"Divya Mahajan, Seokjin Go","submitted_at":"2025-02-10T16:34:36Z","abstract_excerpt":"Mixture-of-Experts (MoE) model architecture has emerged as a promising solution for scaling transformer models efficiently, offering sparse activation that reduces computational costs while increasing model capacity. However, as MoE models scale, they need to be distributed across GPU devices, thus face critical performance bottlenecks due to their large memory footprint. Expert parallelism distributes experts across GPUs, however, faces key challenges including an unbalanced token routing and expert activation, resulting in communication tail latency and processing inefficiencies. While exist"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.06643","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/2502.06643/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":"2026-07-05T10:12:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NpMglm2p7brEcD1qrixLZWDEtMaPQFKXCqob5ISx8fRpaMBKbeEX1G5AD/o4NOXkm5SG5sqLCM+cWPdau9h6Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T20:58:12.580558Z"},"content_sha256":"27a981d857cc804d804c29a5a691fa9404d4f54785033ed903353ae9b28ea3d7","schema_version":"1.0","event_id":"sha256:27a981d857cc804d804c29a5a691fa9404d4f54785033ed903353ae9b28ea3d7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IWFB3USPJA4FCMFZ6W2L7NS6GE/bundle.json","state_url":"https://pith.science/pith/IWFB3USPJA4FCMFZ6W2L7NS6GE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IWFB3USPJA4FCMFZ6W2L7NS6GE/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":"2026-07-06T20:58:12Z","links":{"resolver":"https://pith.science/pith/IWFB3USPJA4FCMFZ6W2L7NS6GE","bundle":"https://pith.science/pith/IWFB3USPJA4FCMFZ6W2L7NS6GE/bundle.json","state":"https://pith.science/pith/IWFB3USPJA4FCMFZ6W2L7NS6GE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IWFB3USPJA4FCMFZ6W2L7NS6GE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:IWFB3USPJA4FCMFZ6W2L7NS6GE","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":"98891c9e3a993f68e48280dec42a48a3f89602383120ddea41cd1e70213e2395","cross_cats_sorted":["cs.DC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-10T16:34:36Z","title_canon_sha256":"3727a9803775c3d1860c545c5aba2a80fef6bdd9becb1c5a1142a969929b0329"},"schema_version":"1.0","source":{"id":"2502.06643","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.06643","created_at":"2026-07-05T10:12:10Z"},{"alias_kind":"arxiv_version","alias_value":"2502.06643v1","created_at":"2026-07-05T10:12:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.06643","created_at":"2026-07-05T10:12:10Z"},{"alias_kind":"pith_short_12","alias_value":"IWFB3USPJA4F","created_at":"2026-07-05T10:12:10Z"},{"alias_kind":"pith_short_16","alias_value":"IWFB3USPJA4FCMFZ","created_at":"2026-07-05T10:12:10Z"},{"alias_kind":"pith_short_8","alias_value":"IWFB3USP","created_at":"2026-07-05T10:12:10Z"}],"graph_snapshots":[{"event_id":"sha256:27a981d857cc804d804c29a5a691fa9404d4f54785033ed903353ae9b28ea3d7","target":"graph","created_at":"2026-07-05T10:12:10Z","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/2502.06643/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Mixture-of-Experts (MoE) model architecture has emerged as a promising solution for scaling transformer models efficiently, offering sparse activation that reduces computational costs while increasing model capacity. However, as MoE models scale, they need to be distributed across GPU devices, thus face critical performance bottlenecks due to their large memory footprint. Expert parallelism distributes experts across GPUs, however, faces key challenges including an unbalanced token routing and expert activation, resulting in communication tail latency and processing inefficiencies. While exist","authors_text":"Divya Mahajan, Seokjin Go","cross_cats":["cs.DC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-10T16:34:36Z","title":"MoETuner: Optimized Mixture of Expert Serving with Balanced Expert Placement and Token Routing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.06643","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":"sha256:78f0ae50eeec2ffedce67cfef1d62551674e132103ea0eabb4632e8287e13d50","target":"record","created_at":"2026-07-05T10:12:10Z","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":"98891c9e3a993f68e48280dec42a48a3f89602383120ddea41cd1e70213e2395","cross_cats_sorted":["cs.DC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-10T16:34:36Z","title_canon_sha256":"3727a9803775c3d1860c545c5aba2a80fef6bdd9becb1c5a1142a969929b0329"},"schema_version":"1.0","source":{"id":"2502.06643","kind":"arxiv","version":1}},"canonical_sha256":"458a1dd24f48385130b9f5b4bfb65e31255a5330f6d0fe2af5a1fe2c731ab5ef","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"458a1dd24f48385130b9f5b4bfb65e31255a5330f6d0fe2af5a1fe2c731ab5ef","first_computed_at":"2026-07-05T10:12:10.032399Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:12:10.032399Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DZrsV3m2zXC+/Yin7F4Gsl4+6YR2iyTOD9zpXaY1L5tJejQBiBa1rBOlSAAJKLdYOIwoZLQBPkPOUOCuEKkuDA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:12:10.032848Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.06643","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:78f0ae50eeec2ffedce67cfef1d62551674e132103ea0eabb4632e8287e13d50","sha256:27a981d857cc804d804c29a5a691fa9404d4f54785033ed903353ae9b28ea3d7"],"state_sha256":"407af49e315e9d799911143242fbb5d602e4688c0c65da27897f37c691ae8d88"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bg+43VILSP7/nfDeEkwYKDPB6c4XWHOVsLU12ISINfV/6FEM7/hOxkTAo47NweLeqjlghR6bxUo24upfqk3sBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T20:58:12.582722Z","bundle_sha256":"28fa07f6461c3f078ce83f30adb7b3165d4f7f95067212d196ae92310e7ad3d3"}}