{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:3QDYO5XKQFBBNS2WFDFGILSXXC","short_pith_number":"pith:3QDYO5XK","schema_version":"1.0","canonical_sha256":"dc078776ea814216cb5628ca642e57b89901260bd170150be187c32e80339ec9","source":{"kind":"arxiv","id":"2605.17905","version":1},"attestation_state":"computed","paper":{"title":"Curriculum-Guided Heterogeneous Multi-Agent Intelligence for Multi-UAV Cooperative ISAC","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Jienan Chen, Kang Yan, Kang Zheng, Kun Yang, Luping Xiang, Qiang Liu","submitted_at":"2026-05-18T06:12:59Z","abstract_excerpt":"Seamlessly unifying communication and sensing, sixth-generation (6G) networks are poised to transform into intelligent platforms with high spectral-energy efficiency and real-time environmental awareness. In the low-altitude economy, unmanned aerial vehicles (UAVs) enable air-ground integrated sensing and communication (ISAC) for applications such as logistics and inspection, yet most studies focus on single-UAV or homogeneous-agent designs. In contrast, this paper proposes a multi-UAV cooperative ISAC system that enables heterogeneous-agent collaboration between multiple UAVs and a ground bas"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2605.17905","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2026-05-18T06:12:59Z","cross_cats_sorted":[],"title_canon_sha256":"21ea1d1a2d5d9fb6414e244073d83e7e2ae104f46db2d8e1d15e0d66e9c8b962","abstract_canon_sha256":"2522a4a0accfff2b335883a3c8c15b85bea94321de17b5c3cb5207b31bbd2072"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:05:05.082370Z","signature_b64":"Xqmg+nCpmp1/E4K6b6DvXNiN+gK347sLg8qN48cNvLg2ic3wv2NdaC+DPh/aPFCVFbxSHB7z01eqPXMfYwI8AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dc078776ea814216cb5628ca642e57b89901260bd170150be187c32e80339ec9","last_reissued_at":"2026-05-20T00:05:05.081371Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:05:05.081371Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Curriculum-Guided Heterogeneous Multi-Agent Intelligence for Multi-UAV Cooperative ISAC","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Jienan Chen, Kang Yan, Kang Zheng, Kun Yang, Luping Xiang, Qiang Liu","submitted_at":"2026-05-18T06:12:59Z","abstract_excerpt":"Seamlessly unifying communication and sensing, sixth-generation (6G) networks are poised to transform into intelligent platforms with high spectral-energy efficiency and real-time environmental awareness. In the low-altitude economy, unmanned aerial vehicles (UAVs) enable air-ground integrated sensing and communication (ISAC) for applications such as logistics and inspection, yet most studies focus on single-UAV or homogeneous-agent designs. In contrast, this paper proposes a multi-UAV cooperative ISAC system that enables heterogeneous-agent collaboration between multiple UAVs and a ground bas"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.17905","kind":"arxiv","version":1},"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/2605.17905/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2605.17905","created_at":"2026-05-20T00:05:05.081539+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.17905v1","created_at":"2026-05-20T00:05:05.081539+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.17905","created_at":"2026-05-20T00:05:05.081539+00:00"},{"alias_kind":"pith_short_12","alias_value":"3QDYO5XKQFBB","created_at":"2026-05-20T00:05:05.081539+00:00"},{"alias_kind":"pith_short_16","alias_value":"3QDYO5XKQFBBNS2W","created_at":"2026-05-20T00:05:05.081539+00:00"},{"alias_kind":"pith_short_8","alias_value":"3QDYO5XK","created_at":"2026-05-20T00:05:05.081539+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/3QDYO5XKQFBBNS2WFDFGILSXXC","json":"https://pith.science/pith/3QDYO5XKQFBBNS2WFDFGILSXXC.json","graph_json":"https://pith.science/api/pith-number/3QDYO5XKQFBBNS2WFDFGILSXXC/graph.json","events_json":"https://pith.science/api/pith-number/3QDYO5XKQFBBNS2WFDFGILSXXC/events.json","paper":"https://pith.science/paper/3QDYO5XK"},"agent_actions":{"view_html":"https://pith.science/pith/3QDYO5XKQFBBNS2WFDFGILSXXC","download_json":"https://pith.science/pith/3QDYO5XKQFBBNS2WFDFGILSXXC.json","view_paper":"https://pith.science/paper/3QDYO5XK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.17905&json=true","fetch_graph":"https://pith.science/api/pith-number/3QDYO5XKQFBBNS2WFDFGILSXXC/graph.json","fetch_events":"https://pith.science/api/pith-number/3QDYO5XKQFBBNS2WFDFGILSXXC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3QDYO5XKQFBBNS2WFDFGILSXXC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3QDYO5XKQFBBNS2WFDFGILSXXC/action/storage_attestation","attest_author":"https://pith.science/pith/3QDYO5XKQFBBNS2WFDFGILSXXC/action/author_attestation","sign_citation":"https://pith.science/pith/3QDYO5XKQFBBNS2WFDFGILSXXC/action/citation_signature","submit_replication":"https://pith.science/pith/3QDYO5XKQFBBNS2WFDFGILSXXC/action/replication_record"}},"created_at":"2026-05-20T00:05:05.081539+00:00","updated_at":"2026-05-20T00:05:05.081539+00:00"}