{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:QSIWE43ZFP4SV4LSDMRCGGAAFD","short_pith_number":"pith:QSIWE43Z","canonical_record":{"source":{"id":"2102.00735","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2021-02-01T10:04:20Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"85f250c3f47875c7dd53bbc6996c481e3900a72c709b5a8627bafbf163667356","abstract_canon_sha256":"dab85c3d7c8c5c4133a2e0d8923c8f0c06062b378b6033d2800866ce4bee263d"},"schema_version":"1.0"},"canonical_sha256":"84916273792bf92af1721b2223180028f1514582133bf1813e2aaf5f87ce9f88","source":{"kind":"arxiv","id":"2102.00735","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.00735","created_at":"2026-07-05T02:12:17Z"},{"alias_kind":"arxiv_version","alias_value":"2102.00735v1","created_at":"2026-07-05T02:12:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.00735","created_at":"2026-07-05T02:12:17Z"},{"alias_kind":"pith_short_12","alias_value":"QSIWE43ZFP4S","created_at":"2026-07-05T02:12:17Z"},{"alias_kind":"pith_short_16","alias_value":"QSIWE43ZFP4SV4LS","created_at":"2026-07-05T02:12:17Z"},{"alias_kind":"pith_short_8","alias_value":"QSIWE43Z","created_at":"2026-07-05T02:12:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:QSIWE43ZFP4SV4LSDMRCGGAAFD","target":"record","payload":{"canonical_record":{"source":{"id":"2102.00735","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2021-02-01T10:04:20Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"85f250c3f47875c7dd53bbc6996c481e3900a72c709b5a8627bafbf163667356","abstract_canon_sha256":"dab85c3d7c8c5c4133a2e0d8923c8f0c06062b378b6033d2800866ce4bee263d"},"schema_version":"1.0"},"canonical_sha256":"84916273792bf92af1721b2223180028f1514582133bf1813e2aaf5f87ce9f88","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:12:17.269606Z","signature_b64":"VkCylTBz6WHFJWN9Re6j9ZZApLwUIQucXyyB5881JySEb7n1K7pcp5HAzi3CKMHtMRyuVa0NdIFb3+Kh9WwJBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"84916273792bf92af1721b2223180028f1514582133bf1813e2aaf5f87ce9f88","last_reissued_at":"2026-07-05T02:12:17.269223Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:12:17.269223Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2102.00735","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":"2026-07-05T02:12:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4zz2Kwz7ev1oMxDjuRV3IHqKSACQlRYvx37DQk/DRORL2lr8FZvERxCDATQzr9xM7QT4SZQdMwlGkbBD/AVUBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T13:19:07.766603Z"},"content_sha256":"26300c68ba2566e3ee63b2bb11c06f1006d426e36b3519d2a95e14904e5e967b","schema_version":"1.0","event_id":"sha256:26300c68ba2566e3ee63b2bb11c06f1006d426e36b3519d2a95e14904e5e967b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:QSIWE43ZFP4SV4LSDMRCGGAAFD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hybrid Beamforming for mmWave MU-MISO Systems Exploiting Multi-agent Deep Reinforcement Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"eess.SP","authors_text":"Qisheng Wang, Shi Jin, Xiao Li, Yijiain Chen","submitted_at":"2021-02-01T10:04:20Z","abstract_excerpt":"In this letter, we investigate the hybrid beamforming based on deep reinforcement learning (DRL) for millimeter Wave (mmWave) multi-user (MU) multiple-input-single-output (MISO) system. A multi-agent DRL method is proposed to solve the exploration efficiency problem in DRL. In the proposed method, prioritized replay buffer and more informative reward are applied to accelerate the convergence. Simulation results show that the proposed architecture achieves higher spectral efficiency and less time consumption than the benchmarks, thus is more suitable for practical applications."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.00735","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/2102.00735/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":"2026-07-05T02:12:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e20AtfArR88rMexXEO18iDWFfnjR7wCm9u1nn92LYNCGumYxdYMf85TIGojnr5OqU9qFIa+X/zqJTOIGdqlpAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T13:19:07.766983Z"},"content_sha256":"c90e1ed06177b9468fb4d45e2cae18930642614efcd7f319af21f57fee5d10f4","schema_version":"1.0","event_id":"sha256:c90e1ed06177b9468fb4d45e2cae18930642614efcd7f319af21f57fee5d10f4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QSIWE43ZFP4SV4LSDMRCGGAAFD/bundle.json","state_url":"https://pith.science/pith/QSIWE43ZFP4SV4LSDMRCGGAAFD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QSIWE43ZFP4SV4LSDMRCGGAAFD/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":"2026-07-07T13:19:07Z","links":{"resolver":"https://pith.science/pith/QSIWE43ZFP4SV4LSDMRCGGAAFD","bundle":"https://pith.science/pith/QSIWE43ZFP4SV4LSDMRCGGAAFD/bundle.json","state":"https://pith.science/pith/QSIWE43ZFP4SV4LSDMRCGGAAFD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QSIWE43ZFP4SV4LSDMRCGGAAFD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:QSIWE43ZFP4SV4LSDMRCGGAAFD","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":"dab85c3d7c8c5c4133a2e0d8923c8f0c06062b378b6033d2800866ce4bee263d","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2021-02-01T10:04:20Z","title_canon_sha256":"85f250c3f47875c7dd53bbc6996c481e3900a72c709b5a8627bafbf163667356"},"schema_version":"1.0","source":{"id":"2102.00735","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.00735","created_at":"2026-07-05T02:12:17Z"},{"alias_kind":"arxiv_version","alias_value":"2102.00735v1","created_at":"2026-07-05T02:12:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.00735","created_at":"2026-07-05T02:12:17Z"},{"alias_kind":"pith_short_12","alias_value":"QSIWE43ZFP4S","created_at":"2026-07-05T02:12:17Z"},{"alias_kind":"pith_short_16","alias_value":"QSIWE43ZFP4SV4LS","created_at":"2026-07-05T02:12:17Z"},{"alias_kind":"pith_short_8","alias_value":"QSIWE43Z","created_at":"2026-07-05T02:12:17Z"}],"graph_snapshots":[{"event_id":"sha256:c90e1ed06177b9468fb4d45e2cae18930642614efcd7f319af21f57fee5d10f4","target":"graph","created_at":"2026-07-05T02:12:17Z","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/2102.00735/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this letter, we investigate the hybrid beamforming based on deep reinforcement learning (DRL) for millimeter Wave (mmWave) multi-user (MU) multiple-input-single-output (MISO) system. A multi-agent DRL method is proposed to solve the exploration efficiency problem in DRL. In the proposed method, prioritized replay buffer and more informative reward are applied to accelerate the convergence. Simulation results show that the proposed architecture achieves higher spectral efficiency and less time consumption than the benchmarks, thus is more suitable for practical applications.","authors_text":"Qisheng Wang, Shi Jin, Xiao Li, Yijiain Chen","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2021-02-01T10:04:20Z","title":"Hybrid Beamforming for mmWave MU-MISO Systems Exploiting Multi-agent Deep Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.00735","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":"sha256:26300c68ba2566e3ee63b2bb11c06f1006d426e36b3519d2a95e14904e5e967b","target":"record","created_at":"2026-07-05T02:12:17Z","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":"dab85c3d7c8c5c4133a2e0d8923c8f0c06062b378b6033d2800866ce4bee263d","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2021-02-01T10:04:20Z","title_canon_sha256":"85f250c3f47875c7dd53bbc6996c481e3900a72c709b5a8627bafbf163667356"},"schema_version":"1.0","source":{"id":"2102.00735","kind":"arxiv","version":1}},"canonical_sha256":"84916273792bf92af1721b2223180028f1514582133bf1813e2aaf5f87ce9f88","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"84916273792bf92af1721b2223180028f1514582133bf1813e2aaf5f87ce9f88","first_computed_at":"2026-07-05T02:12:17.269223Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:12:17.269223Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VkCylTBz6WHFJWN9Re6j9ZZApLwUIQucXyyB5881JySEb7n1K7pcp5HAzi3CKMHtMRyuVa0NdIFb3+Kh9WwJBw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:12:17.269606Z","signed_message":"canonical_sha256_bytes"},"source_id":"2102.00735","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:26300c68ba2566e3ee63b2bb11c06f1006d426e36b3519d2a95e14904e5e967b","sha256:c90e1ed06177b9468fb4d45e2cae18930642614efcd7f319af21f57fee5d10f4"],"state_sha256":"f6652a5cbc456ded2ab99e9577ff05feaa26c349fa3dc641ede0a93df70e746f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"te3W6x92sl1xt/RGnAH2CgcjVFvH2yX5sSEjojhi0nutO58JhUPujWPHF56aaFmqXZdFSO5ErhgCkdDtNAcfDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T13:19:07.769271Z","bundle_sha256":"5160779708b371f9140d2a57b5e72ec7827f01d872490d984e2c9b370f08c4ad"}}