{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NGYWZDMOUJP4K2YDPSRP6ZR2LF","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":"0204a87a6bcdab226d1a222dd53cbd60736e4f4d77b7d9b2952ef48d6b462d55","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-20T15:50:49Z","title_canon_sha256":"2d617f31f078208a39c5df47ca2ac3ab681af1e9e0e84ce0cacce345c6217b7b"},"schema_version":"1.0","source":{"id":"2605.21322","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.21322","created_at":"2026-05-21T02:05:29Z"},{"alias_kind":"arxiv_version","alias_value":"2605.21322v1","created_at":"2026-05-21T02:05:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.21322","created_at":"2026-05-21T02:05:29Z"},{"alias_kind":"pith_short_12","alias_value":"NGYWZDMOUJP4","created_at":"2026-05-21T02:05:29Z"},{"alias_kind":"pith_short_16","alias_value":"NGYWZDMOUJP4K2YD","created_at":"2026-05-21T02:05:29Z"},{"alias_kind":"pith_short_8","alias_value":"NGYWZDMO","created_at":"2026-05-21T02:05:29Z"}],"graph_snapshots":[{"event_id":"sha256:b371b51556a8ecb8e7b112a282d2b5b83dae2e92871952f9d146c5a833a199a8","target":"graph","created_at":"2026-05-21T02:05:29Z","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/2605.21322/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated Learning (FL) enables collaborative model training without centralizing data. However, real-world deployments must simultaneously address statistical heterogeneity across client data (non-IID), system heterogeneity in device capabilities, and communication efficiency. Existing FL approaches mitigate these challenges through improved aggregation, personalization, or knowledge distillation, but they almost universally assume a fixed client architecture, limiting adaptability to heterogeneous data complexity and hardware constraints. This architectural constraint often leads to suboptim","authors_text":"Chaimaa Medjadji, Feras M. Awaysheh, Guilain Leduc, Sadi Alawadi, Sylvain Kubler, Yves Le Traon","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-20T15:50:49Z","title":"Optimized Federated Knowledge Distillation with Distributed Neural Architecture Search"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.21322","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":"sha256:32efded27bd684d032e0a0d8b180476e71e86f881ac4266285b396673a849ff5","target":"record","created_at":"2026-05-21T02:05:29Z","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":"0204a87a6bcdab226d1a222dd53cbd60736e4f4d77b7d9b2952ef48d6b462d55","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-20T15:50:49Z","title_canon_sha256":"2d617f31f078208a39c5df47ca2ac3ab681af1e9e0e84ce0cacce345c6217b7b"},"schema_version":"1.0","source":{"id":"2605.21322","kind":"arxiv","version":1}},"canonical_sha256":"69b16c8d8ea25fc56b037ca2ff663a597823f3c7a6651fbdcfaaf61b83a92c93","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"69b16c8d8ea25fc56b037ca2ff663a597823f3c7a6651fbdcfaaf61b83a92c93","first_computed_at":"2026-05-21T02:05:29.134260Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-21T02:05:29.134260Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rpiFNuHFVLp7GD4qYIU3LNuEiDs5/OLlnS8RcTEIxyDghfypOntJ78KpXJMy8GcRcIvKde9zpE4tQZSto38oDA==","signature_status":"signed_v1","signed_at":"2026-05-21T02:05:29.134941Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.21322","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:32efded27bd684d032e0a0d8b180476e71e86f881ac4266285b396673a849ff5","sha256:b371b51556a8ecb8e7b112a282d2b5b83dae2e92871952f9d146c5a833a199a8"],"state_sha256":"3c5e82c78accaab6a41982becb302a4e492c5e9131ea42e118d0e76ab079b7a0"}