{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:GFHD7S67HAJVTWHOC6ZXCMWPHZ","short_pith_number":"pith:GFHD7S67","canonical_record":{"source":{"id":"2606.29982","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2026-06-29T08:57:59Z","cross_cats_sorted":[],"title_canon_sha256":"6b90477436371fafe2062d81c326334f0da2d47f806e921cfc6df268c5621b94","abstract_canon_sha256":"4a92e35a6d758393c3159ffc725ea6ee7a5698df854de252646c1a7336cd41d6"},"schema_version":"1.0"},"canonical_sha256":"314e3fcbdf381359d8ee17b37132cf3e6aba6ae1f88dc848a1fbd4b4a0844d07","source":{"kind":"arxiv","id":"2606.29982","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.29982","created_at":"2026-06-30T02:17:43Z"},{"alias_kind":"arxiv_version","alias_value":"2606.29982v1","created_at":"2026-06-30T02:17:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.29982","created_at":"2026-06-30T02:17:43Z"},{"alias_kind":"pith_short_12","alias_value":"GFHD7S67HAJV","created_at":"2026-06-30T02:17:43Z"},{"alias_kind":"pith_short_16","alias_value":"GFHD7S67HAJVTWHO","created_at":"2026-06-30T02:17:43Z"},{"alias_kind":"pith_short_8","alias_value":"GFHD7S67","created_at":"2026-06-30T02:17:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:GFHD7S67HAJVTWHOC6ZXCMWPHZ","target":"record","payload":{"canonical_record":{"source":{"id":"2606.29982","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2026-06-29T08:57:59Z","cross_cats_sorted":[],"title_canon_sha256":"6b90477436371fafe2062d81c326334f0da2d47f806e921cfc6df268c5621b94","abstract_canon_sha256":"4a92e35a6d758393c3159ffc725ea6ee7a5698df854de252646c1a7336cd41d6"},"schema_version":"1.0"},"canonical_sha256":"314e3fcbdf381359d8ee17b37132cf3e6aba6ae1f88dc848a1fbd4b4a0844d07","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-30T02:17:43.982605Z","signature_b64":"QL4UobVkecKdApA24IJ+C4XlIQDVk2xZNawpNay9In4ZaxxGrFJRv3MxhisjK7pnd3e02tqj4oa6Ep6YtBA4DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"314e3fcbdf381359d8ee17b37132cf3e6aba6ae1f88dc848a1fbd4b4a0844d07","last_reissued_at":"2026-06-30T02:17:43.981234Z","signature_status":"signed_v1","first_computed_at":"2026-06-30T02:17:43.981234Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.29982","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":"2026-06-30T02:17:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fQ4Xk7CClHho/K0B0+H/4yCXTmUpXtAy/1bZTE3OvSWlqp93DdDfyUDoKHVfecNTgItUbPqwHzsLYKgIqChMDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T21:23:02.660823Z"},"content_sha256":"aaf4bc843d1fc0500536f07c612f65fc9e37610b019d7716c101e997d11d0cf0","schema_version":"1.0","event_id":"sha256:aaf4bc843d1fc0500536f07c612f65fc9e37610b019d7716c101e997d11d0cf0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:GFHD7S67HAJVTWHOC6ZXCMWPHZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Beyond Uniform Experts: Cost-Aware Expert Execution for Efficient Multi-Device MoE Inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Hong Liu, Hui Zang, Jiajia Chu, Minghao Chen, Pengfei Xia, Rui Zhang, Tuo Hao, Ziyang Zhang","submitted_at":"2026-06-29T08:57:59Z","abstract_excerpt":"Mixture-of-Experts (MoE) architectures enable language models to achieve unprecedented scale via sparse activation. However, their inference performance is often limited by data movement bottlenecks. Two coupled challenges exacerbate this limtation: (1) Importance-Agnostic Cost: Low-contribution experts incur nearly uniform memory and transfer costs, resulting in a low cost-to-benefit ratio and wasting critical bandwidth; (2) System-Level Imbalance: Multi-device deployments are universally bottlenecked by the slowest device, meaning that local reductions on one device may yield no improvement "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.29982","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/2606.29982/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":"2026-06-30T02:17:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8K4/9zco9NADhnDUCoArPxJNrTC+e41JPTT5qVvJi8S3MM6mwSUDV5Ah8TeYdyLN9e/B1kvqqAer5tbvrr9oBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T21:23:02.661204Z"},"content_sha256":"92ce8e6f3a990819126ebe01286a4dd610da28e76412dc8383d1ea38f63a278f","schema_version":"1.0","event_id":"sha256:92ce8e6f3a990819126ebe01286a4dd610da28e76412dc8383d1ea38f63a278f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GFHD7S67HAJVTWHOC6ZXCMWPHZ/bundle.json","state_url":"https://pith.science/pith/GFHD7S67HAJVTWHOC6ZXCMWPHZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GFHD7S67HAJVTWHOC6ZXCMWPHZ/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":"2026-06-30T21:23:02Z","links":{"resolver":"https://pith.science/pith/GFHD7S67HAJVTWHOC6ZXCMWPHZ","bundle":"https://pith.science/pith/GFHD7S67HAJVTWHOC6ZXCMWPHZ/bundle.json","state":"https://pith.science/pith/GFHD7S67HAJVTWHOC6ZXCMWPHZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GFHD7S67HAJVTWHOC6ZXCMWPHZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:GFHD7S67HAJVTWHOC6ZXCMWPHZ","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":"4a92e35a6d758393c3159ffc725ea6ee7a5698df854de252646c1a7336cd41d6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2026-06-29T08:57:59Z","title_canon_sha256":"6b90477436371fafe2062d81c326334f0da2d47f806e921cfc6df268c5621b94"},"schema_version":"1.0","source":{"id":"2606.29982","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.29982","created_at":"2026-06-30T02:17:43Z"},{"alias_kind":"arxiv_version","alias_value":"2606.29982v1","created_at":"2026-06-30T02:17:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.29982","created_at":"2026-06-30T02:17:43Z"},{"alias_kind":"pith_short_12","alias_value":"GFHD7S67HAJV","created_at":"2026-06-30T02:17:43Z"},{"alias_kind":"pith_short_16","alias_value":"GFHD7S67HAJVTWHO","created_at":"2026-06-30T02:17:43Z"},{"alias_kind":"pith_short_8","alias_value":"GFHD7S67","created_at":"2026-06-30T02:17:43Z"}],"graph_snapshots":[{"event_id":"sha256:92ce8e6f3a990819126ebe01286a4dd610da28e76412dc8383d1ea38f63a278f","target":"graph","created_at":"2026-06-30T02:17:43Z","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/2606.29982/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Mixture-of-Experts (MoE) architectures enable language models to achieve unprecedented scale via sparse activation. However, their inference performance is often limited by data movement bottlenecks. Two coupled challenges exacerbate this limtation: (1) Importance-Agnostic Cost: Low-contribution experts incur nearly uniform memory and transfer costs, resulting in a low cost-to-benefit ratio and wasting critical bandwidth; (2) System-Level Imbalance: Multi-device deployments are universally bottlenecked by the slowest device, meaning that local reductions on one device may yield no improvement ","authors_text":"Hong Liu, Hui Zang, Jiajia Chu, Minghao Chen, Pengfei Xia, Rui Zhang, Tuo Hao, Ziyang Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2026-06-29T08:57:59Z","title":"Beyond Uniform Experts: Cost-Aware Expert Execution for Efficient Multi-Device MoE Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.29982","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:aaf4bc843d1fc0500536f07c612f65fc9e37610b019d7716c101e997d11d0cf0","target":"record","created_at":"2026-06-30T02:17:43Z","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":"4a92e35a6d758393c3159ffc725ea6ee7a5698df854de252646c1a7336cd41d6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2026-06-29T08:57:59Z","title_canon_sha256":"6b90477436371fafe2062d81c326334f0da2d47f806e921cfc6df268c5621b94"},"schema_version":"1.0","source":{"id":"2606.29982","kind":"arxiv","version":1}},"canonical_sha256":"314e3fcbdf381359d8ee17b37132cf3e6aba6ae1f88dc848a1fbd4b4a0844d07","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"314e3fcbdf381359d8ee17b37132cf3e6aba6ae1f88dc848a1fbd4b4a0844d07","first_computed_at":"2026-06-30T02:17:43.981234Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T02:17:43.981234Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QL4UobVkecKdApA24IJ+C4XlIQDVk2xZNawpNay9In4ZaxxGrFJRv3MxhisjK7pnd3e02tqj4oa6Ep6YtBA4DQ==","signature_status":"signed_v1","signed_at":"2026-06-30T02:17:43.982605Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.29982","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aaf4bc843d1fc0500536f07c612f65fc9e37610b019d7716c101e997d11d0cf0","sha256:92ce8e6f3a990819126ebe01286a4dd610da28e76412dc8383d1ea38f63a278f"],"state_sha256":"bf1b6ac5d1e8ee4e5955d47ea2d27766e8b62bfebf44956d2514ed899c8b1213"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cAwZPYd4OItSUXzbVaLlQiw970/+T2FifmwuAVZo1V0M3Kjye6NO9ysDTYsuvQPW75cWho7X5e0H/jvyLA+XAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-30T21:23:02.663253Z","bundle_sha256":"922890c303c846ec03d51806f045052fa71282c433172400b7db861d55226dad"}}