{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:XRFGYQNEY37BZKVFHVQPJGMYH4","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":"d05b370817b4613a91a8b6a9ea5f211d0bb91ed7770c0c53b60749ce71414dde","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2021-05-24T09:16:04Z","title_canon_sha256":"d2481db65a7b585836d7286d5bb9600ab1f1c8a8846f08da974d80a117aa6b53"},"schema_version":"1.0","source":{"id":"2105.11166","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.11166","created_at":"2026-07-05T06:32:51Z"},{"alias_kind":"arxiv_version","alias_value":"2105.11166v6","created_at":"2026-07-05T06:32:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.11166","created_at":"2026-07-05T06:32:51Z"},{"alias_kind":"pith_short_12","alias_value":"XRFGYQNEY37B","created_at":"2026-07-05T06:32:51Z"},{"alias_kind":"pith_short_16","alias_value":"XRFGYQNEY37BZKVF","created_at":"2026-07-05T06:32:51Z"},{"alias_kind":"pith_short_8","alias_value":"XRFGYQNE","created_at":"2026-07-05T06:32:51Z"}],"graph_snapshots":[{"event_id":"sha256:645a8f8db195b600484ba4fb9d613f2056e96043a7fb6d3a02af91141e58d0c3","target":"graph","created_at":"2026-07-05T06:32:51Z","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/2105.11166/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"State-of-the-art performance for many edge applications is achieved by deep neural networks (DNNs). Often, these DNNs are location- and time-sensitive, and must be delivered over a wireless channel rapidly and efficiently. In this paper, we introduce AirNet, a family of novel training and transmission methods that allow DNNs to be efficiently delivered over wireless channels under stringent transmit power and latency constraints. This corresponds to a new class of joint source-channel coding problems, aimed at delivering DNNs with the goal of maximizing their accuracy at the receiver, rather t","authors_text":"Deniz Gunduz, Krystian Mikolajczyk, Mikolaj Jankowski","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2021-05-24T09:16:04Z","title":"AirNet: Neural Network Transmission over the Air"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.11166","kind":"arxiv","version":6},"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":"sha256:2a522cbf5c27997973105ede84075e7b9b13cdef0c69f34000630c3ab6c936ca","target":"record","created_at":"2026-07-05T06:32:51Z","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":"d05b370817b4613a91a8b6a9ea5f211d0bb91ed7770c0c53b60749ce71414dde","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2021-05-24T09:16:04Z","title_canon_sha256":"d2481db65a7b585836d7286d5bb9600ab1f1c8a8846f08da974d80a117aa6b53"},"schema_version":"1.0","source":{"id":"2105.11166","kind":"arxiv","version":6}},"canonical_sha256":"bc4a6c41a4c6fe1caaa53d60f499983f33edaa9231e11367823d3ecd32066752","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bc4a6c41a4c6fe1caaa53d60f499983f33edaa9231e11367823d3ecd32066752","first_computed_at":"2026-07-05T06:32:51.789180Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:32:51.789180Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oZUGwjAmwN2pV0Y2OHRjD+Y+CK+MVbziGfpO6ArsZsfm9++lVho7sCY7j3T6Km5vNoXeSK772meSptW2hld0DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:32:51.789581Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.11166","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2a522cbf5c27997973105ede84075e7b9b13cdef0c69f34000630c3ab6c936ca","sha256:645a8f8db195b600484ba4fb9d613f2056e96043a7fb6d3a02af91141e58d0c3"],"state_sha256":"6c33aab8dcf5caf45c6babb405876d04d835f145a7a9d6248107ece33f14a61f"}