{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:KV73UFWJPEEQM7JIUVNQL5NE4E","short_pith_number":"pith:KV73UFWJ","canonical_record":{"source":{"id":"2407.07702","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2024-05-24T02:54:34Z","cross_cats_sorted":["eess.SP","math.IT"],"title_canon_sha256":"c8a3149be9b509bc0fa9df7c613b307f3f539384e1a53b1573555eb2898fb388","abstract_canon_sha256":"b60740e786f02bcaad95774f692f60dbe57b805f7d6ffc02b25eabf7ce405369"},"schema_version":"1.0"},"canonical_sha256":"557fba16c97909067d28a55b05f5a4e10c58428b1fee702fe3dfba508428500b","source":{"kind":"arxiv","id":"2407.07702","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.07702","created_at":"2026-07-05T08:42:24Z"},{"alias_kind":"arxiv_version","alias_value":"2407.07702v1","created_at":"2026-07-05T08:42:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.07702","created_at":"2026-07-05T08:42:24Z"},{"alias_kind":"pith_short_12","alias_value":"KV73UFWJPEEQ","created_at":"2026-07-05T08:42:24Z"},{"alias_kind":"pith_short_16","alias_value":"KV73UFWJPEEQM7JI","created_at":"2026-07-05T08:42:24Z"},{"alias_kind":"pith_short_8","alias_value":"KV73UFWJ","created_at":"2026-07-05T08:42:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:KV73UFWJPEEQM7JIUVNQL5NE4E","target":"record","payload":{"canonical_record":{"source":{"id":"2407.07702","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2024-05-24T02:54:34Z","cross_cats_sorted":["eess.SP","math.IT"],"title_canon_sha256":"c8a3149be9b509bc0fa9df7c613b307f3f539384e1a53b1573555eb2898fb388","abstract_canon_sha256":"b60740e786f02bcaad95774f692f60dbe57b805f7d6ffc02b25eabf7ce405369"},"schema_version":"1.0"},"canonical_sha256":"557fba16c97909067d28a55b05f5a4e10c58428b1fee702fe3dfba508428500b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:42:24.300722Z","signature_b64":"WvZejIzv0WZnsWzOmseGDATKgPbvRJ+HZD+QM/eTro8hPX2xHRkJsQ5xFyr1B2f34pjTOf0LzrcwNvE2IlRgAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"557fba16c97909067d28a55b05f5a4e10c58428b1fee702fe3dfba508428500b","last_reissued_at":"2026-07-05T08:42:24.300303Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:42:24.300303Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.07702","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":"2026-07-05T08:42:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K324YDVwEGhMEmyj4dJFBDIqhlWVYBpsTqVVrA1C3NFToKi+uRnW9uK4PdDYXZ8sBtCopEEcN/TFwbX2wMDjDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T02:02:53.313635Z"},"content_sha256":"cb3d88efc144bbdc5c15ad918ac752110e678a7fac5fbdf27b6ba2ace67c0868","schema_version":"1.0","event_id":"sha256:cb3d88efc144bbdc5c15ad918ac752110e678a7fac5fbdf27b6ba2ace67c0868"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:KV73UFWJPEEQM7JIUVNQL5NE4E","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Leveraging Self-Supervised Learning for MIMO-OFDM Channel Representation and Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.SP","math.IT"],"primary_cat":"cs.IT","authors_text":"Dusit Niyato, Haibo Zhou, Jiacheng Chen, Jingbo Liu, Ting Ma, Yunting Xu, Zongxi Liu","submitted_at":"2024-05-24T02:54:34Z","abstract_excerpt":"In communications theory, the capacity of multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) systems is fundamentally determined by wireless channels, which exhibit both diversity and correlation in spatial, frequency and temporal domains. It is further envisioned to exploit the inherent nature of channels, namely representation, to achieve geolocation-based MIMO transmission for 6G, exemplified by the fully-decoupled radio access network (FD-RAN). Accordingly, this paper first employs self-supervised learning to obtain channel representation from unlabeled c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.07702","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/2407.07702/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":"2026-07-05T08:42:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LFwldlCEqiuGGrJ9XFdY4JJIeerlVx05o9g/lB2KTk/NNT4GCn7gNnMllq6baD4E3dHLqVIQ+XDWEmUZNo+GBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T02:02:53.314544Z"},"content_sha256":"6ee7f403c0af2251bfe62966c1d35382a2de766b38df0fff4aa773b5527b309d","schema_version":"1.0","event_id":"sha256:6ee7f403c0af2251bfe62966c1d35382a2de766b38df0fff4aa773b5527b309d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KV73UFWJPEEQM7JIUVNQL5NE4E/bundle.json","state_url":"https://pith.science/pith/KV73UFWJPEEQM7JIUVNQL5NE4E/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KV73UFWJPEEQM7JIUVNQL5NE4E/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":"2026-08-04T02:02:53Z","links":{"resolver":"https://pith.science/pith/KV73UFWJPEEQM7JIUVNQL5NE4E","bundle":"https://pith.science/pith/KV73UFWJPEEQM7JIUVNQL5NE4E/bundle.json","state":"https://pith.science/pith/KV73UFWJPEEQM7JIUVNQL5NE4E/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KV73UFWJPEEQM7JIUVNQL5NE4E/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:KV73UFWJPEEQM7JIUVNQL5NE4E","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":"b60740e786f02bcaad95774f692f60dbe57b805f7d6ffc02b25eabf7ce405369","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2024-05-24T02:54:34Z","title_canon_sha256":"c8a3149be9b509bc0fa9df7c613b307f3f539384e1a53b1573555eb2898fb388"},"schema_version":"1.0","source":{"id":"2407.07702","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.07702","created_at":"2026-07-05T08:42:24Z"},{"alias_kind":"arxiv_version","alias_value":"2407.07702v1","created_at":"2026-07-05T08:42:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.07702","created_at":"2026-07-05T08:42:24Z"},{"alias_kind":"pith_short_12","alias_value":"KV73UFWJPEEQ","created_at":"2026-07-05T08:42:24Z"},{"alias_kind":"pith_short_16","alias_value":"KV73UFWJPEEQM7JI","created_at":"2026-07-05T08:42:24Z"},{"alias_kind":"pith_short_8","alias_value":"KV73UFWJ","created_at":"2026-07-05T08:42:24Z"}],"graph_snapshots":[{"event_id":"sha256:6ee7f403c0af2251bfe62966c1d35382a2de766b38df0fff4aa773b5527b309d","target":"graph","created_at":"2026-07-05T08:42:24Z","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/2407.07702/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In communications theory, the capacity of multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) systems is fundamentally determined by wireless channels, which exhibit both diversity and correlation in spatial, frequency and temporal domains. It is further envisioned to exploit the inherent nature of channels, namely representation, to achieve geolocation-based MIMO transmission for 6G, exemplified by the fully-decoupled radio access network (FD-RAN). Accordingly, this paper first employs self-supervised learning to obtain channel representation from unlabeled c","authors_text":"Dusit Niyato, Haibo Zhou, Jiacheng Chen, Jingbo Liu, Ting Ma, Yunting Xu, Zongxi Liu","cross_cats":["eess.SP","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2024-05-24T02:54:34Z","title":"Leveraging Self-Supervised Learning for MIMO-OFDM Channel Representation and Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.07702","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:cb3d88efc144bbdc5c15ad918ac752110e678a7fac5fbdf27b6ba2ace67c0868","target":"record","created_at":"2026-07-05T08:42:24Z","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":"b60740e786f02bcaad95774f692f60dbe57b805f7d6ffc02b25eabf7ce405369","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2024-05-24T02:54:34Z","title_canon_sha256":"c8a3149be9b509bc0fa9df7c613b307f3f539384e1a53b1573555eb2898fb388"},"schema_version":"1.0","source":{"id":"2407.07702","kind":"arxiv","version":1}},"canonical_sha256":"557fba16c97909067d28a55b05f5a4e10c58428b1fee702fe3dfba508428500b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"557fba16c97909067d28a55b05f5a4e10c58428b1fee702fe3dfba508428500b","first_computed_at":"2026-07-05T08:42:24.300303Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:42:24.300303Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WvZejIzv0WZnsWzOmseGDATKgPbvRJ+HZD+QM/eTro8hPX2xHRkJsQ5xFyr1B2f34pjTOf0LzrcwNvE2IlRgAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:42:24.300722Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.07702","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cb3d88efc144bbdc5c15ad918ac752110e678a7fac5fbdf27b6ba2ace67c0868","sha256:6ee7f403c0af2251bfe62966c1d35382a2de766b38df0fff4aa773b5527b309d"],"state_sha256":"91f82876b418d9af4611212218e555df9866b67316eb93942b4815c96fc357cb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q57LQKX8enxH1Gy1RcGzFD1s9p62mexLin5kF96vYE2GsfWjPYFolBVnj9T9VjcJ8Ir53uIY9fdAer8fXra0Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T02:02:53.319946Z","bundle_sha256":"b4a44b067b9aec28f4bbddd1bcd7e86883bb5fc6465d6fb3844a0ef3d07b7906"}}