{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:52BZK2M4DBZGDVMNV3H36XFTXG","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":"dc754297ed24ab3664a9d6f3e545fc74ccccd049ddb3298368901cde7472e5c9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-02-16T07:49:27Z","title_canon_sha256":"1e835cce8c7bc34625d28a3045a2b4975158e34a4b593146bd9e0cb6b6e53bec"},"schema_version":"1.0","source":{"id":"2502.11029","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.11029","created_at":"2026-07-05T10:15:02Z"},{"alias_kind":"arxiv_version","alias_value":"2502.11029v1","created_at":"2026-07-05T10:15:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.11029","created_at":"2026-07-05T10:15:02Z"},{"alias_kind":"pith_short_12","alias_value":"52BZK2M4DBZG","created_at":"2026-07-05T10:15:02Z"},{"alias_kind":"pith_short_16","alias_value":"52BZK2M4DBZGDVMN","created_at":"2026-07-05T10:15:02Z"},{"alias_kind":"pith_short_8","alias_value":"52BZK2M4","created_at":"2026-07-05T10:15:02Z"}],"graph_snapshots":[{"event_id":"sha256:f0be0577cfa6a9cf81b9f6d1ce4b5514c53d164e69ebecce008d0575c4e4cd66","target":"graph","created_at":"2026-07-05T10:15:02Z","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/2502.11029/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-party computation (MPC) based machine learning, referred to as multi-party learning (MPL), has become an important technology for utilizing data from multiple parties with privacy preservation. In recent years, in order to apply MPL in more practical scenarios, various MPC-friendly models have been proposedto reduce the extraordinary communication overhead of MPL. Within the optimization of MPC-friendly models, a critical element to tackle the challenge is profiling the communication cost of models. However, the current solutions mainly depend on manually establishing the profiles to ide","authors_text":"Guopeng Lin, Ruisheng Zhou, Shui Yu, Weili Han, Wenqiang Ruan, Xin Lin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-02-16T07:49:27Z","title":"HawkEye: Statically and Accurately Profiling the Communication Cost of Models in Multi-party Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.11029","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:b7d3bb8eafee146a6093ee9b5c02d88e8b27f925b34bb4cb3d52e7b933c61066","target":"record","created_at":"2026-07-05T10:15:02Z","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":"dc754297ed24ab3664a9d6f3e545fc74ccccd049ddb3298368901cde7472e5c9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-02-16T07:49:27Z","title_canon_sha256":"1e835cce8c7bc34625d28a3045a2b4975158e34a4b593146bd9e0cb6b6e53bec"},"schema_version":"1.0","source":{"id":"2502.11029","kind":"arxiv","version":1}},"canonical_sha256":"ee8395699c187261d58daecfbf5cb3b9b4650bffe5e88421b0c63ffceee219b7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ee8395699c187261d58daecfbf5cb3b9b4650bffe5e88421b0c63ffceee219b7","first_computed_at":"2026-07-05T10:15:02.642806Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:15:02.642806Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fEoPw6EYqRtjzWryZz/9kkuqKPj/c6HwOtRZrHD0TQfsK9hEYioKZult6BpO857B1QuBDYr9te9cTxI1kpWzAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:15:02.643188Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.11029","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b7d3bb8eafee146a6093ee9b5c02d88e8b27f925b34bb4cb3d52e7b933c61066","sha256:f0be0577cfa6a9cf81b9f6d1ce4b5514c53d164e69ebecce008d0575c4e4cd66"],"state_sha256":"9e7140cdb0940324f1883662f45f79862512374bd80a71e6a09de27a709f7309"}