{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KSHIAS4VLCO5765RGF3IUWDH4Z","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":"0d8e44a62b14ac2a98ef4e962c582e2719f4517a268d9e85fd66f61173b6f772","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-05-28T09:41:10Z","title_canon_sha256":"3dc83182d0d45da5ef72d7bb4af8c99f75e7a81f4f2ba999b5adc0637a6dac51"},"schema_version":"1.0","source":{"id":"2505.22170","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.22170","created_at":"2026-07-05T11:48:04Z"},{"alias_kind":"arxiv_version","alias_value":"2505.22170v1","created_at":"2026-07-05T11:48:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.22170","created_at":"2026-07-05T11:48:04Z"},{"alias_kind":"pith_short_12","alias_value":"KSHIAS4VLCO5","created_at":"2026-07-05T11:48:04Z"},{"alias_kind":"pith_short_16","alias_value":"KSHIAS4VLCO5765R","created_at":"2026-07-05T11:48:04Z"},{"alias_kind":"pith_short_8","alias_value":"KSHIAS4V","created_at":"2026-07-05T11:48:04Z"}],"graph_snapshots":[{"event_id":"sha256:de61aff3beaa3d3670adc1267732feda45409cf2826caccd7038aa670553e553","target":"graph","created_at":"2026-07-05T11:48:04Z","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/2505.22170/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Decision Transformer (DT) has recently demonstrated strong generalizability in dynamic resource allocation within unmanned aerial vehicle (UAV) networks, compared to conventional deep reinforcement learning (DRL). However, its performance is hindered due to zero-padding for varying state dimensions, inability to manage long-term energy constraint, and challenges in acquiring expert samples for few-shot fine-tuning in new scenarios. To overcome these limitations, we propose an attention-enhanced prompt Decision Transformer (APDT) framework to optimize trajectory planning and user scheduling, ai","authors_text":"Chi Lu, Jun Li, Shi Jin, Xiaoli Shi, Yiyang Ni, Zhe Wang","cross_cats":["cs.IT","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-05-28T09:41:10Z","title":"Attention-Enhanced Prompt Decision Transformers for UAV-Assisted Communications with AoI"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.22170","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:da03231ba353322c45497d952b8fecb9fc50fbf7abe0125577c0e21c57ac46c5","target":"record","created_at":"2026-07-05T11:48:04Z","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":"0d8e44a62b14ac2a98ef4e962c582e2719f4517a268d9e85fd66f61173b6f772","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-05-28T09:41:10Z","title_canon_sha256":"3dc83182d0d45da5ef72d7bb4af8c99f75e7a81f4f2ba999b5adc0637a6dac51"},"schema_version":"1.0","source":{"id":"2505.22170","kind":"arxiv","version":1}},"canonical_sha256":"548e804b95589ddffbb131768a5867e66596716ecdb17a7d03b2354ef527d476","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"548e804b95589ddffbb131768a5867e66596716ecdb17a7d03b2354ef527d476","first_computed_at":"2026-07-05T11:48:04.289402Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:48:04.289402Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lDymKAEerJehbBLOFvEU+m2np2Apy2ob1KSRhlNn+7GVH6Dj+24Mfd6VUdbuiLo5/AGGl8lxDfuAkw1ySbpZDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:48:04.289952Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.22170","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:da03231ba353322c45497d952b8fecb9fc50fbf7abe0125577c0e21c57ac46c5","sha256:de61aff3beaa3d3670adc1267732feda45409cf2826caccd7038aa670553e553"],"state_sha256":"6633adaed652380c09eed6b2d6d1305d12bc16e9bf27914a3671884c53af83bf"}