{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:OQ3LEC4KATIU7D2RTQO77GWUSA","short_pith_number":"pith:OQ3LEC4K","canonical_record":{"source":{"id":"2409.07964","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2024-09-12T11:48:01Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b2777d8a07b1a5515ffa72d1a38033bb8c292ad776977d85e220a1f967556127","abstract_canon_sha256":"04eb9cfaf6e29095e263f8b029548d54504df5214bb845551d4a5beba828b33a"},"schema_version":"1.0"},"canonical_sha256":"7436b20b8a04d14f8f519c1dff9ad4902294fb679e5ef4eedfe94077e7be07f7","source":{"kind":"arxiv","id":"2409.07964","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.07964","created_at":"2026-07-05T09:06:18Z"},{"alias_kind":"arxiv_version","alias_value":"2409.07964v1","created_at":"2026-07-05T09:06:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.07964","created_at":"2026-07-05T09:06:18Z"},{"alias_kind":"pith_short_12","alias_value":"OQ3LEC4KATIU","created_at":"2026-07-05T09:06:18Z"},{"alias_kind":"pith_short_16","alias_value":"OQ3LEC4KATIU7D2R","created_at":"2026-07-05T09:06:18Z"},{"alias_kind":"pith_short_8","alias_value":"OQ3LEC4K","created_at":"2026-07-05T09:06:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:OQ3LEC4KATIU7D2RTQO77GWUSA","target":"record","payload":{"canonical_record":{"source":{"id":"2409.07964","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2024-09-12T11:48:01Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b2777d8a07b1a5515ffa72d1a38033bb8c292ad776977d85e220a1f967556127","abstract_canon_sha256":"04eb9cfaf6e29095e263f8b029548d54504df5214bb845551d4a5beba828b33a"},"schema_version":"1.0"},"canonical_sha256":"7436b20b8a04d14f8f519c1dff9ad4902294fb679e5ef4eedfe94077e7be07f7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:06:18.233217Z","signature_b64":"VFKBPx+3EvWXd+MqToWIOaTG9+FNwJvLIl4HmOLkI6CcSGFjX2+fh+POY9UmN81LhrgImFmTZq8srQNwLCceDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7436b20b8a04d14f8f519c1dff9ad4902294fb679e5ef4eedfe94077e7be07f7","last_reissued_at":"2026-07-05T09:06:18.232788Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:06:18.232788Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.07964","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:06:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LRVGqd6U5drQw5VnY04wTngvJQufmA5R9aYeUzipsXgJ+wdDI/cTzPBwGjaPX6NbgRxB1bXiDP8BWnC6u3u5Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T00:22:49.562349Z"},"content_sha256":"263de8a32ace9b4f6623b01f938504ec4757ed3dcde627570cd93a4504d1860d","schema_version":"1.0","event_id":"sha256:263de8a32ace9b4f6623b01f938504ec4757ed3dcde627570cd93a4504d1860d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:OQ3LEC4KATIU7D2RTQO77GWUSA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.NI","authors_text":"Jiawei Shao, Jingwen Tong, Jun Zhang, Qiong Wu, Wei Guo, Zehong Lin, Zijian Li","submitted_at":"2024-09-12T11:48:01Z","abstract_excerpt":"Wireless networks are increasingly facing challenges due to their expanding scale and complexity. These challenges underscore the need for advanced AI-driven strategies, particularly in the upcoming 6G networks. In this article, we introduce WirelessAgent, a novel approach leveraging large language models (LLMs) to develop AI agents capable of managing complex tasks in wireless networks. It can effectively improve network performance through advanced reasoning, multimodal data processing, and autonomous decision making. Thereafter, we demonstrate the practical applicability and benefits of Wir"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.07964","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/2409.07964/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:06:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hQp2EcjY5q8ZWq3LzjpIyhaQcOv4JS4oOkkJhjANlb1Vm3a0h4gTjRx/K+eNGy4y5abF1ebGEReJsjasXbreBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T00:22:49.562877Z"},"content_sha256":"1b748d6073129b2ddb438e9f6f0e7316d3e327da49cf866babd299781d83eef4","schema_version":"1.0","event_id":"sha256:1b748d6073129b2ddb438e9f6f0e7316d3e327da49cf866babd299781d83eef4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OQ3LEC4KATIU7D2RTQO77GWUSA/bundle.json","state_url":"https://pith.science/pith/OQ3LEC4KATIU7D2RTQO77GWUSA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OQ3LEC4KATIU7D2RTQO77GWUSA/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-09T00:22:49Z","links":{"resolver":"https://pith.science/pith/OQ3LEC4KATIU7D2RTQO77GWUSA","bundle":"https://pith.science/pith/OQ3LEC4KATIU7D2RTQO77GWUSA/bundle.json","state":"https://pith.science/pith/OQ3LEC4KATIU7D2RTQO77GWUSA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OQ3LEC4KATIU7D2RTQO77GWUSA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OQ3LEC4KATIU7D2RTQO77GWUSA","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":"04eb9cfaf6e29095e263f8b029548d54504df5214bb845551d4a5beba828b33a","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2024-09-12T11:48:01Z","title_canon_sha256":"b2777d8a07b1a5515ffa72d1a38033bb8c292ad776977d85e220a1f967556127"},"schema_version":"1.0","source":{"id":"2409.07964","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.07964","created_at":"2026-07-05T09:06:18Z"},{"alias_kind":"arxiv_version","alias_value":"2409.07964v1","created_at":"2026-07-05T09:06:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.07964","created_at":"2026-07-05T09:06:18Z"},{"alias_kind":"pith_short_12","alias_value":"OQ3LEC4KATIU","created_at":"2026-07-05T09:06:18Z"},{"alias_kind":"pith_short_16","alias_value":"OQ3LEC4KATIU7D2R","created_at":"2026-07-05T09:06:18Z"},{"alias_kind":"pith_short_8","alias_value":"OQ3LEC4K","created_at":"2026-07-05T09:06:18Z"}],"graph_snapshots":[{"event_id":"sha256:1b748d6073129b2ddb438e9f6f0e7316d3e327da49cf866babd299781d83eef4","target":"graph","created_at":"2026-07-05T09:06:18Z","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/2409.07964/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Wireless networks are increasingly facing challenges due to their expanding scale and complexity. These challenges underscore the need for advanced AI-driven strategies, particularly in the upcoming 6G networks. In this article, we introduce WirelessAgent, a novel approach leveraging large language models (LLMs) to develop AI agents capable of managing complex tasks in wireless networks. It can effectively improve network performance through advanced reasoning, multimodal data processing, and autonomous decision making. Thereafter, we demonstrate the practical applicability and benefits of Wir","authors_text":"Jiawei Shao, Jingwen Tong, Jun Zhang, Qiong Wu, Wei Guo, Zehong Lin, Zijian Li","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2024-09-12T11:48:01Z","title":"WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.07964","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":"sha256:263de8a32ace9b4f6623b01f938504ec4757ed3dcde627570cd93a4504d1860d","target":"record","created_at":"2026-07-05T09:06:18Z","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":"04eb9cfaf6e29095e263f8b029548d54504df5214bb845551d4a5beba828b33a","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2024-09-12T11:48:01Z","title_canon_sha256":"b2777d8a07b1a5515ffa72d1a38033bb8c292ad776977d85e220a1f967556127"},"schema_version":"1.0","source":{"id":"2409.07964","kind":"arxiv","version":1}},"canonical_sha256":"7436b20b8a04d14f8f519c1dff9ad4902294fb679e5ef4eedfe94077e7be07f7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7436b20b8a04d14f8f519c1dff9ad4902294fb679e5ef4eedfe94077e7be07f7","first_computed_at":"2026-07-05T09:06:18.232788Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:06:18.232788Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VFKBPx+3EvWXd+MqToWIOaTG9+FNwJvLIl4HmOLkI6CcSGFjX2+fh+POY9UmN81LhrgImFmTZq8srQNwLCceDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:06:18.233217Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.07964","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:263de8a32ace9b4f6623b01f938504ec4757ed3dcde627570cd93a4504d1860d","sha256:1b748d6073129b2ddb438e9f6f0e7316d3e327da49cf866babd299781d83eef4"],"state_sha256":"6757b1daaf7aee93c40772822e0733ab9b0f03f1cbcf6ec6db3af2e92e7cab7a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m3wyxhDXw8tXLvZFjXro0HJowi7jsKfpgxNGpfyWDxEJgG2xvPgrHznJ7BMVzRNSagkdVp3+ze5NM7j6FR09BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T00:22:49.567165Z","bundle_sha256":"6c9276e634a0465edcecc7d5636340382fa72e3ed119f0c276925767a3e6c1c6"}}