{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:HDUPBJU7SX2AJ7RAXAUHZRTSAB","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":"a302a13ecbffb874f00cb2b00896c7288e3b353c33e3c83e0b4befdafafd7b6d","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2026-05-30T10:49:35Z","title_canon_sha256":"201fa3bace10e9e5e6c76b6c9c97e774c547814506718afcb26730c33acac86d"},"schema_version":"1.0","source":{"id":"2606.00668","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.00668","created_at":"2026-06-02T01:04:02Z"},{"alias_kind":"arxiv_version","alias_value":"2606.00668v1","created_at":"2026-06-02T01:04:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.00668","created_at":"2026-06-02T01:04:02Z"},{"alias_kind":"pith_short_12","alias_value":"HDUPBJU7SX2A","created_at":"2026-06-02T01:04:02Z"},{"alias_kind":"pith_short_16","alias_value":"HDUPBJU7SX2AJ7RA","created_at":"2026-06-02T01:04:02Z"},{"alias_kind":"pith_short_8","alias_value":"HDUPBJU7","created_at":"2026-06-02T01:04:02Z"}],"graph_snapshots":[{"event_id":"sha256:aefed0b5338c7fb1ba8859207c0c5c06d924ae004222003f5d0b09f9f7e8d6fc","target":"graph","created_at":"2026-06-02T01:04:02Z","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/2606.00668/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Semantic communications which can significantly reduce spectrum consumption in wireless networks, have recently become a popular research area. When combined with wireless power transfer (WPT), semantic communications can help achieve high spectral efficiency for energy-limited devices in wireless communications. In energy-constrained and link budget-limited scenarios such as UAV networks, the integration of semantic communications and WPT enables highly energyefficient transmission mechanisms. In this paper, we investigate semantic communications in UAV-enabled WPT networks. To achieve adapta","authors_text":"Chong Huang, Jingfu Li, Jingjing Cui, Jing Zhu, Mingzhe Chen, Pei Xiao, Rahim Tafazolli, Zheng Chu","cross_cats":["eess.SP","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2026-05-30T10:49:35Z","title":"Hybrid Bit and Semantic Communications for UAV-Enabled Wireless Power Transfer Networks: A Decision-Assisted Deep Reinforcement Learning Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.00668","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":"sha256:72f383206b43e16b786d58de44c17f79e68b9bc456059dcab8882eb2d718d173","target":"record","created_at":"2026-06-02T01:04:02Z","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":"a302a13ecbffb874f00cb2b00896c7288e3b353c33e3c83e0b4befdafafd7b6d","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2026-05-30T10:49:35Z","title_canon_sha256":"201fa3bace10e9e5e6c76b6c9c97e774c547814506718afcb26730c33acac86d"},"schema_version":"1.0","source":{"id":"2606.00668","kind":"arxiv","version":1}},"canonical_sha256":"38e8f0a69f95f404fe20b8287cc672005bf8b789a5fb9e6ddecbf00e2c4b7032","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"38e8f0a69f95f404fe20b8287cc672005bf8b789a5fb9e6ddecbf00e2c4b7032","first_computed_at":"2026-06-02T01:04:02.132791Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T01:04:02.132791Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+sMq64IPgTvo6YEnuNcnrdCG5wOpZJ9EwHED7+r1dTFF4fnVCy+cwll7fBeB6PAZCfYYYR+OCnDsJH+NS7m/Ag==","signature_status":"signed_v1","signed_at":"2026-06-02T01:04:02.133454Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.00668","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:72f383206b43e16b786d58de44c17f79e68b9bc456059dcab8882eb2d718d173","sha256:aefed0b5338c7fb1ba8859207c0c5c06d924ae004222003f5d0b09f9f7e8d6fc"],"state_sha256":"540e723f4945088534b2b83f6121fb99768d9bc61ca2b0350a1d56147c32a9e2"}