{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ZKNRGFBHJBC5FSAGQ6IFSEDFL4","short_pith_number":"pith:ZKNRGFBH","canonical_record":{"source":{"id":"2301.10879","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-01-26T00:17:10Z","cross_cats_sorted":["cs.DC"],"title_canon_sha256":"45c82ed041df52b91961c5c591f66bcf8461dc6137c8f593e7ef87285e8331dd","abstract_canon_sha256":"1a5a64a98a44e81ab19c61feb5ab0fca1352138483785d9f7985dcde15315907"},"schema_version":"1.0"},"canonical_sha256":"ca9b1314274845d2c80687905910655f3067697e84b9934b6242aa8448d8d0e7","source":{"kind":"arxiv","id":"2301.10879","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.10879","created_at":"2026-07-05T08:42:28Z"},{"alias_kind":"arxiv_version","alias_value":"2301.10879v3","created_at":"2026-07-05T08:42:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.10879","created_at":"2026-07-05T08:42:28Z"},{"alias_kind":"pith_short_12","alias_value":"ZKNRGFBHJBC5","created_at":"2026-07-05T08:42:28Z"},{"alias_kind":"pith_short_16","alias_value":"ZKNRGFBHJBC5FSAG","created_at":"2026-07-05T08:42:28Z"},{"alias_kind":"pith_short_8","alias_value":"ZKNRGFBH","created_at":"2026-07-05T08:42:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ZKNRGFBHJBC5FSAGQ6IFSEDFL4","target":"record","payload":{"canonical_record":{"source":{"id":"2301.10879","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-01-26T00:17:10Z","cross_cats_sorted":["cs.DC"],"title_canon_sha256":"45c82ed041df52b91961c5c591f66bcf8461dc6137c8f593e7ef87285e8331dd","abstract_canon_sha256":"1a5a64a98a44e81ab19c61feb5ab0fca1352138483785d9f7985dcde15315907"},"schema_version":"1.0"},"canonical_sha256":"ca9b1314274845d2c80687905910655f3067697e84b9934b6242aa8448d8d0e7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:42:28.635428Z","signature_b64":"hI24OaOgRgJlm+sCffaC82OYOHOT04jBQCx60xQx/XO4gRE3nMg7w8Z019359OZODkIlHEdsnYfkrnZ7o+3rCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ca9b1314274845d2c80687905910655f3067697e84b9934b6242aa8448d8d0e7","last_reissued_at":"2026-07-05T08:42:28.634988Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:42:28.634988Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2301.10879","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:42:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u9qaHJ8TA37Ej8j5eSokXbbeKBm3zuA1v5SMPlgX4OH7ZbNxxcPszgXYicgo0RdNtGpT7Ucd4f4YxST0RHmBAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T07:09:18.973533Z"},"content_sha256":"b8abf7fdc9df408409ec6224a12defbeab7fd7397daa9c883908e4769b822b8d","schema_version":"1.0","event_id":"sha256:b8abf7fdc9df408409ec6224a12defbeab7fd7397daa9c883908e4769b822b8d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ZKNRGFBHJBC5FSAGQ6IFSEDFL4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.DC"],"primary_cat":"cs.LG","authors_text":"Aditya Annavajjala, Alexey Tumanov, Alind Khare, Animesh Agrawal, Hugo Latapie, Myungjin Lee, Payman Behnam","submitted_at":"2023-01-26T00:17:10Z","abstract_excerpt":"Neural Architecture Search (NAS) for Federated Learning (FL) is an emerging field. It automates the design and training of Deep Neural Networks (DNNs) when data cannot be centralized due to privacy, communication costs, or regulatory restrictions. Recent federated NAS methods not only reduce manual effort but also help achieve higher accuracy than traditional FL methods like FedAvg. Despite the success, existing federated NAS methods still fall short in satisfying diverse deployment targets common in on-device inference like hardware, latency budgets, or variable battery levels. Most federated"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.10879","kind":"arxiv","version":3},"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/2301.10879/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":"2026-07-05T08:42:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XrzJAPtytpsO6lcPkhJkR568glDaUZma4k3LvMyIdXoeY0jJRt4RzuWeQHdTlKEH014ajVNF9z1/zm8z47J1Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T07:09:18.973931Z"},"content_sha256":"e42e9cf4ec8f68290a4cef316b008fbcb8d8e5bdac362e649c501441df0f7473","schema_version":"1.0","event_id":"sha256:e42e9cf4ec8f68290a4cef316b008fbcb8d8e5bdac362e649c501441df0f7473"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZKNRGFBHJBC5FSAGQ6IFSEDFL4/bundle.json","state_url":"https://pith.science/pith/ZKNRGFBHJBC5FSAGQ6IFSEDFL4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZKNRGFBHJBC5FSAGQ6IFSEDFL4/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":"2026-07-26T07:09:18Z","links":{"resolver":"https://pith.science/pith/ZKNRGFBHJBC5FSAGQ6IFSEDFL4","bundle":"https://pith.science/pith/ZKNRGFBHJBC5FSAGQ6IFSEDFL4/bundle.json","state":"https://pith.science/pith/ZKNRGFBHJBC5FSAGQ6IFSEDFL4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZKNRGFBHJBC5FSAGQ6IFSEDFL4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ZKNRGFBHJBC5FSAGQ6IFSEDFL4","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":"1a5a64a98a44e81ab19c61feb5ab0fca1352138483785d9f7985dcde15315907","cross_cats_sorted":["cs.DC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-01-26T00:17:10Z","title_canon_sha256":"45c82ed041df52b91961c5c591f66bcf8461dc6137c8f593e7ef87285e8331dd"},"schema_version":"1.0","source":{"id":"2301.10879","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.10879","created_at":"2026-07-05T08:42:28Z"},{"alias_kind":"arxiv_version","alias_value":"2301.10879v3","created_at":"2026-07-05T08:42:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.10879","created_at":"2026-07-05T08:42:28Z"},{"alias_kind":"pith_short_12","alias_value":"ZKNRGFBHJBC5","created_at":"2026-07-05T08:42:28Z"},{"alias_kind":"pith_short_16","alias_value":"ZKNRGFBHJBC5FSAG","created_at":"2026-07-05T08:42:28Z"},{"alias_kind":"pith_short_8","alias_value":"ZKNRGFBH","created_at":"2026-07-05T08:42:28Z"}],"graph_snapshots":[{"event_id":"sha256:e42e9cf4ec8f68290a4cef316b008fbcb8d8e5bdac362e649c501441df0f7473","target":"graph","created_at":"2026-07-05T08:42:28Z","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/2301.10879/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural Architecture Search (NAS) for Federated Learning (FL) is an emerging field. It automates the design and training of Deep Neural Networks (DNNs) when data cannot be centralized due to privacy, communication costs, or regulatory restrictions. Recent federated NAS methods not only reduce manual effort but also help achieve higher accuracy than traditional FL methods like FedAvg. Despite the success, existing federated NAS methods still fall short in satisfying diverse deployment targets common in on-device inference like hardware, latency budgets, or variable battery levels. Most federated","authors_text":"Aditya Annavajjala, Alexey Tumanov, Alind Khare, Animesh Agrawal, Hugo Latapie, Myungjin Lee, Payman Behnam","cross_cats":["cs.DC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-01-26T00:17:10Z","title":"SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.10879","kind":"arxiv","version":3},"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:b8abf7fdc9df408409ec6224a12defbeab7fd7397daa9c883908e4769b822b8d","target":"record","created_at":"2026-07-05T08:42:28Z","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":"1a5a64a98a44e81ab19c61feb5ab0fca1352138483785d9f7985dcde15315907","cross_cats_sorted":["cs.DC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-01-26T00:17:10Z","title_canon_sha256":"45c82ed041df52b91961c5c591f66bcf8461dc6137c8f593e7ef87285e8331dd"},"schema_version":"1.0","source":{"id":"2301.10879","kind":"arxiv","version":3}},"canonical_sha256":"ca9b1314274845d2c80687905910655f3067697e84b9934b6242aa8448d8d0e7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ca9b1314274845d2c80687905910655f3067697e84b9934b6242aa8448d8d0e7","first_computed_at":"2026-07-05T08:42:28.634988Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:42:28.634988Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hI24OaOgRgJlm+sCffaC82OYOHOT04jBQCx60xQx/XO4gRE3nMg7w8Z019359OZODkIlHEdsnYfkrnZ7o+3rCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:42:28.635428Z","signed_message":"canonical_sha256_bytes"},"source_id":"2301.10879","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b8abf7fdc9df408409ec6224a12defbeab7fd7397daa9c883908e4769b822b8d","sha256:e42e9cf4ec8f68290a4cef316b008fbcb8d8e5bdac362e649c501441df0f7473"],"state_sha256":"75a79e62e3f62a50971e9ffbe2289589334d2b91d39e1a69b1998e2b38a3b861"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vAw2twApukSi1SeYPJFrq/UW++/7Dqgh3UdojjQI4IswJtHBhV1ApV13zNNAjrsAQauPlVZdT3pWFpmf8Ex2DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-26T07:09:18.976149Z","bundle_sha256":"57ea2676767ad2d67c6ec12fdfc157369681a581b705baf6592c6670a10a3a1d"}}