{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:TITGHOWSN5FANUSR2C5SVNRBP7","short_pith_number":"pith:TITGHOWS","canonical_record":{"source":{"id":"2401.01673","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.IT","submitted_at":"2024-01-03T11:12:05Z","cross_cats_sorted":["eess.SP","math.IT"],"title_canon_sha256":"3f91cd750e38dc87c174d393ee9a678336dee356352141acbeacda89fb1114d6","abstract_canon_sha256":"508c75745d94d69999ee730a44bd9e147f1ab979b49401992f0cc76d9b28d132"},"schema_version":"1.0"},"canonical_sha256":"9a2663bad26f4a06d251d0bb2ab6217ffd9f497f70a0d393361a9b52f8887097","source":{"kind":"arxiv","id":"2401.01673","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.01673","created_at":"2026-07-05T07:52:43Z"},{"alias_kind":"arxiv_version","alias_value":"2401.01673v2","created_at":"2026-07-05T07:52:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.01673","created_at":"2026-07-05T07:52:43Z"},{"alias_kind":"pith_short_12","alias_value":"TITGHOWSN5FA","created_at":"2026-07-05T07:52:43Z"},{"alias_kind":"pith_short_16","alias_value":"TITGHOWSN5FANUSR","created_at":"2026-07-05T07:52:43Z"},{"alias_kind":"pith_short_8","alias_value":"TITGHOWS","created_at":"2026-07-05T07:52:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:TITGHOWSN5FANUSR2C5SVNRBP7","target":"record","payload":{"canonical_record":{"source":{"id":"2401.01673","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.IT","submitted_at":"2024-01-03T11:12:05Z","cross_cats_sorted":["eess.SP","math.IT"],"title_canon_sha256":"3f91cd750e38dc87c174d393ee9a678336dee356352141acbeacda89fb1114d6","abstract_canon_sha256":"508c75745d94d69999ee730a44bd9e147f1ab979b49401992f0cc76d9b28d132"},"schema_version":"1.0"},"canonical_sha256":"9a2663bad26f4a06d251d0bb2ab6217ffd9f497f70a0d393361a9b52f8887097","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:52:43.646495Z","signature_b64":"yiN/mjwqjVwfoZrG/ypk84/2FGJqg0sev5vwr9iSa7CI6lfHZF5cfKT6Nd7H5F4rOOzxSOI/zHyIRvtAStovAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9a2663bad26f4a06d251d0bb2ab6217ffd9f497f70a0d393361a9b52f8887097","last_reissued_at":"2026-07-05T07:52:43.646033Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:52:43.646033Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.01673","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:52:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+TkzdvKc1VBBp+HBpVEvFaR1yn5xUplzitVd5gyf0It6NH99bfQEdW2XGVbzxm95F86FlL01xDKZMX1IlYKrBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T10:47:43.982736Z"},"content_sha256":"1692f5208c24bd4f85ee0f81a16671d3c2f337af83ce101391b130b505f26ce5","schema_version":"1.0","event_id":"sha256:1692f5208c24bd4f85ee0f81a16671d3c2f337af83ce101391b130b505f26ce5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:TITGHOWSN5FANUSR2C5SVNRBP7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Coded Beam Training","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["eess.SP","math.IT"],"primary_cat":"cs.IT","authors_text":"Jieao Zhu, Linglong Dai, Qiumo Yu, Tianyue Zheng, Yongli Yan","submitted_at":"2024-01-03T11:12:05Z","abstract_excerpt":"In extremely large-scale multiple input multiple output (XL-MIMO) systems for future sixth-generation (6G) communications, codebook-based beam training stands out as a promising technology to acquire channel state information (CSI). Despite their effectiveness, when the pilot overhead is limited, existing beam training methods suffer from significant achievable rate degradation for remote users with low signal-to-noise ratio (SNR). To tackle this challenge, leveraging the error-correcting capability of channel codes, we introduce channel coding theory into hierarchical beam training to extend "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.01673","kind":"arxiv","version":2},"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/2401.01673/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":"2026-07-05T07:52:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PT8loRxBJy0ce8d6LpjnH2cPpsjUKEJzBMpsbaVKWXBHUUKTpk423Rey7vNIJo0SI/ZGcmZjDyDur3kop4zoAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T10:47:43.983353Z"},"content_sha256":"421b986de8c8d38294c910f3b33647c457e45d74407c197125861966ea4cf292","schema_version":"1.0","event_id":"sha256:421b986de8c8d38294c910f3b33647c457e45d74407c197125861966ea4cf292"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TITGHOWSN5FANUSR2C5SVNRBP7/bundle.json","state_url":"https://pith.science/pith/TITGHOWSN5FANUSR2C5SVNRBP7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TITGHOWSN5FANUSR2C5SVNRBP7/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":"2026-08-22T10:47:43Z","links":{"resolver":"https://pith.science/pith/TITGHOWSN5FANUSR2C5SVNRBP7","bundle":"https://pith.science/pith/TITGHOWSN5FANUSR2C5SVNRBP7/bundle.json","state":"https://pith.science/pith/TITGHOWSN5FANUSR2C5SVNRBP7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TITGHOWSN5FANUSR2C5SVNRBP7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TITGHOWSN5FANUSR2C5SVNRBP7","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":"508c75745d94d69999ee730a44bd9e147f1ab979b49401992f0cc76d9b28d132","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.IT","submitted_at":"2024-01-03T11:12:05Z","title_canon_sha256":"3f91cd750e38dc87c174d393ee9a678336dee356352141acbeacda89fb1114d6"},"schema_version":"1.0","source":{"id":"2401.01673","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.01673","created_at":"2026-07-05T07:52:43Z"},{"alias_kind":"arxiv_version","alias_value":"2401.01673v2","created_at":"2026-07-05T07:52:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.01673","created_at":"2026-07-05T07:52:43Z"},{"alias_kind":"pith_short_12","alias_value":"TITGHOWSN5FA","created_at":"2026-07-05T07:52:43Z"},{"alias_kind":"pith_short_16","alias_value":"TITGHOWSN5FANUSR","created_at":"2026-07-05T07:52:43Z"},{"alias_kind":"pith_short_8","alias_value":"TITGHOWS","created_at":"2026-07-05T07:52:43Z"}],"graph_snapshots":[{"event_id":"sha256:421b986de8c8d38294c910f3b33647c457e45d74407c197125861966ea4cf292","target":"graph","created_at":"2026-07-05T07:52:43Z","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/2401.01673/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In extremely large-scale multiple input multiple output (XL-MIMO) systems for future sixth-generation (6G) communications, codebook-based beam training stands out as a promising technology to acquire channel state information (CSI). Despite their effectiveness, when the pilot overhead is limited, existing beam training methods suffer from significant achievable rate degradation for remote users with low signal-to-noise ratio (SNR). To tackle this challenge, leveraging the error-correcting capability of channel codes, we introduce channel coding theory into hierarchical beam training to extend ","authors_text":"Jieao Zhu, Linglong Dai, Qiumo Yu, Tianyue Zheng, Yongli Yan","cross_cats":["eess.SP","math.IT"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.IT","submitted_at":"2024-01-03T11:12:05Z","title":"Coded Beam Training"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.01673","kind":"arxiv","version":2},"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":"sha256:1692f5208c24bd4f85ee0f81a16671d3c2f337af83ce101391b130b505f26ce5","target":"record","created_at":"2026-07-05T07:52:43Z","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":"508c75745d94d69999ee730a44bd9e147f1ab979b49401992f0cc76d9b28d132","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.IT","submitted_at":"2024-01-03T11:12:05Z","title_canon_sha256":"3f91cd750e38dc87c174d393ee9a678336dee356352141acbeacda89fb1114d6"},"schema_version":"1.0","source":{"id":"2401.01673","kind":"arxiv","version":2}},"canonical_sha256":"9a2663bad26f4a06d251d0bb2ab6217ffd9f497f70a0d393361a9b52f8887097","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9a2663bad26f4a06d251d0bb2ab6217ffd9f497f70a0d393361a9b52f8887097","first_computed_at":"2026-07-05T07:52:43.646033Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:52:43.646033Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yiN/mjwqjVwfoZrG/ypk84/2FGJqg0sev5vwr9iSa7CI6lfHZF5cfKT6Nd7H5F4rOOzxSOI/zHyIRvtAStovAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:52:43.646495Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.01673","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1692f5208c24bd4f85ee0f81a16671d3c2f337af83ce101391b130b505f26ce5","sha256:421b986de8c8d38294c910f3b33647c457e45d74407c197125861966ea4cf292"],"state_sha256":"2ddaae34695f86823818871863214b89e4364dc4712c3c1a2804a36b8f64cf62"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oQKWAN+R6ITxy1swNEiFFGbs8adG54k5fgn+eKlnjZNzvuY/VcrrGJZvJwlsxZroZ6PWO51k0bzu/NKk+yljCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T10:47:43.987032Z","bundle_sha256":"e5dbd313ce1cf2013ca1dcd5beea1d3827ca0e18b8898c91718e10ef9e8c4ad7"}}