{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:UAF32IQLHWE5W2NH2VSAFTUJNY","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":"ea19e1002879819433a40291c11a47559cdd295c505a496c9edf8c641c3b26f8","cross_cats_sorted":["math.IT"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IT","submitted_at":"2020-11-30T04:28:55Z","title_canon_sha256":"d6c48b61db871924eac2aa30809042205415792dc00f9727e4b3f3c4d9e2b3f6"},"schema_version":"1.0","source":{"id":"2012.00533","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.00533","created_at":"2026-07-05T04:13:21Z"},{"alias_kind":"arxiv_version","alias_value":"2012.00533v3","created_at":"2026-07-05T04:13:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.00533","created_at":"2026-07-05T04:13:21Z"},{"alias_kind":"pith_short_12","alias_value":"UAF32IQLHWE5","created_at":"2026-07-05T04:13:21Z"},{"alias_kind":"pith_short_16","alias_value":"UAF32IQLHWE5W2NH","created_at":"2026-07-05T04:13:21Z"},{"alias_kind":"pith_short_8","alias_value":"UAF32IQL","created_at":"2026-07-05T04:13:21Z"}],"graph_snapshots":[{"event_id":"sha256:36d75bea494bbf7399fe21d92fd1efab09db1896c985ae6bc256b5b325f5f7fa","target":"graph","created_at":"2026-07-05T04:13:21Z","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/2012.00533/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent research on joint source channel coding (JSCC) for wireless communications has achieved great success owing to the employment of deep learning (DL). However, the existing work on DL based JSCC usually trains the designed network to operate under a specific signal-to-noise ratio (SNR) regime, without taking into account that the SNR level during the deployment stage may differ from that during the training stage. A number of networks are required to cover the scenario with a broad range of SNRs, which is computational inefficiency (in the training stage) and requires large storage. To ov","authors_text":"Ang Yang, Bo Ai, Jialong Xu, Miguel Rodrigues, Peng Sun, Wei Chen","cross_cats":["math.IT"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IT","submitted_at":"2020-11-30T04:28:55Z","title":"Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.00533","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":"sha256:018560838218fe8f670d5637b6a77fa2dac120ff3c44a9a7d5acbd68382d8af1","target":"record","created_at":"2026-07-05T04:13:21Z","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":"ea19e1002879819433a40291c11a47559cdd295c505a496c9edf8c641c3b26f8","cross_cats_sorted":["math.IT"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IT","submitted_at":"2020-11-30T04:28:55Z","title_canon_sha256":"d6c48b61db871924eac2aa30809042205415792dc00f9727e4b3f3c4d9e2b3f6"},"schema_version":"1.0","source":{"id":"2012.00533","kind":"arxiv","version":3}},"canonical_sha256":"a00bbd220b3d89db69a7d56402ce896e3f2291028565c22c50486b430e469c02","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a00bbd220b3d89db69a7d56402ce896e3f2291028565c22c50486b430e469c02","first_computed_at":"2026-07-05T04:13:21.369576Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:13:21.369576Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QANxJvOgyDnVO1hajn3eCfFyRo0P7G8xdP/KfzDDZH3yBVq/TGCOL+brSPpOvsPe9GTqfgE+I8VRAtOQNvHfAA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:13:21.370005Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.00533","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:018560838218fe8f670d5637b6a77fa2dac120ff3c44a9a7d5acbd68382d8af1","sha256:36d75bea494bbf7399fe21d92fd1efab09db1896c985ae6bc256b5b325f5f7fa"],"state_sha256":"72c52052ea8bc3d14e7b3215eeaa19366f22de2ea16967a69b272ab6605175dd"}