{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:7JQFHFFT4METHQIMAIWYGQRBPS","short_pith_number":"pith:7JQFHFFT","canonical_record":{"source":{"id":"2311.17451","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2023-11-29T08:48:26Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"c60ad3425c71c039b890a1f05e1283236dfba793266e08f8f3482403281f7e5e","abstract_canon_sha256":"d5b3c6c7a8ed516da5383501a45f3a8fb7a0b076df830f2c11079f64e81ef226"},"schema_version":"1.0"},"canonical_sha256":"fa605394b3e30933c10c022d8342217c9bdd050b54a6bcdb3c214dca3db67d4b","source":{"kind":"arxiv","id":"2311.17451","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.17451","created_at":"2026-07-05T08:53:38Z"},{"alias_kind":"arxiv_version","alias_value":"2311.17451v3","created_at":"2026-07-05T08:53:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.17451","created_at":"2026-07-05T08:53:38Z"},{"alias_kind":"pith_short_12","alias_value":"7JQFHFFT4MET","created_at":"2026-07-05T08:53:38Z"},{"alias_kind":"pith_short_16","alias_value":"7JQFHFFT4METHQIM","created_at":"2026-07-05T08:53:38Z"},{"alias_kind":"pith_short_8","alias_value":"7JQFHFFT","created_at":"2026-07-05T08:53:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:7JQFHFFT4METHQIMAIWYGQRBPS","target":"record","payload":{"canonical_record":{"source":{"id":"2311.17451","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2023-11-29T08:48:26Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"c60ad3425c71c039b890a1f05e1283236dfba793266e08f8f3482403281f7e5e","abstract_canon_sha256":"d5b3c6c7a8ed516da5383501a45f3a8fb7a0b076df830f2c11079f64e81ef226"},"schema_version":"1.0"},"canonical_sha256":"fa605394b3e30933c10c022d8342217c9bdd050b54a6bcdb3c214dca3db67d4b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:53:38.429276Z","signature_b64":"vXy1+36cpCIS75vP7Cionfo6E75r8j6JgfPqBN3HxRIdA5O0sbTfD7XYKbgGjHkRnhutkC9lBkmsCvXF7OozBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fa605394b3e30933c10c022d8342217c9bdd050b54a6bcdb3c214dca3db67d4b","last_reissued_at":"2026-07-05T08:53:38.428774Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:53:38.428774Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.17451","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:53:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+lStl/bhyhdAfFQisZPrQP3FgsiLTVZ8RkiPuHeHlU3XV0I+lRyvqQ9SlrlyYKcit9Lhp1rD3NnPhvhFRq/fBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T16:43:23.483872Z"},"content_sha256":"1fd4e976d54745629a4667ca8060fb0a96b8c37b7f1df163253a07b4160acf34","schema_version":"1.0","event_id":"sha256:1fd4e976d54745629a4667ca8060fb0a96b8c37b7f1df163253a07b4160acf34"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:7JQFHFFT4METHQIMAIWYGQRBPS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Wireless Network Digital Twin for 6G: Generative AI as A Key Enabler","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.NI","authors_text":"Wei Xu, Xiaohu You, Xiaoyun Wang, Yongming Huang, Zhenyu Tao","submitted_at":"2023-11-29T08:48:26Z","abstract_excerpt":"Digital twin, which enables emulation, evaluation, and optimization of physical entities through synchronized digital replicas, has gained increasing attention as a promising technology for intricate wireless networks. For 6G, numerous innovative wireless technologies and network architectures have posed new challenges in establishing wireless network digital twins. To tackle these challenges, artificial intelligence (AI), particularly the flourishing generative AI, emerges as a potential solution. In this article, we discuss emerging prerequisites for wireless network digital twins considerin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.17451","kind":"arxiv","version":3},"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/2311.17451/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":"2026-07-05T08:53:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KZRFWRpn8HkyeYALCeytlnTHuGi17pBHX7k+/OH4x6Q4YlnT0q76nI37DHkisyhaTxoBU/wmmdq1hdWmN5T/CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T16:43:23.484446Z"},"content_sha256":"61ccf0c6fd0c6ee1867d0931488f07e3fb0ab635f303d5ad2000dce02ca107f8","schema_version":"1.0","event_id":"sha256:61ccf0c6fd0c6ee1867d0931488f07e3fb0ab635f303d5ad2000dce02ca107f8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7JQFHFFT4METHQIMAIWYGQRBPS/bundle.json","state_url":"https://pith.science/pith/7JQFHFFT4METHQIMAIWYGQRBPS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7JQFHFFT4METHQIMAIWYGQRBPS/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":"2026-08-16T16:43:23Z","links":{"resolver":"https://pith.science/pith/7JQFHFFT4METHQIMAIWYGQRBPS","bundle":"https://pith.science/pith/7JQFHFFT4METHQIMAIWYGQRBPS/bundle.json","state":"https://pith.science/pith/7JQFHFFT4METHQIMAIWYGQRBPS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7JQFHFFT4METHQIMAIWYGQRBPS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:7JQFHFFT4METHQIMAIWYGQRBPS","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":"d5b3c6c7a8ed516da5383501a45f3a8fb7a0b076df830f2c11079f64e81ef226","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2023-11-29T08:48:26Z","title_canon_sha256":"c60ad3425c71c039b890a1f05e1283236dfba793266e08f8f3482403281f7e5e"},"schema_version":"1.0","source":{"id":"2311.17451","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.17451","created_at":"2026-07-05T08:53:38Z"},{"alias_kind":"arxiv_version","alias_value":"2311.17451v3","created_at":"2026-07-05T08:53:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.17451","created_at":"2026-07-05T08:53:38Z"},{"alias_kind":"pith_short_12","alias_value":"7JQFHFFT4MET","created_at":"2026-07-05T08:53:38Z"},{"alias_kind":"pith_short_16","alias_value":"7JQFHFFT4METHQIM","created_at":"2026-07-05T08:53:38Z"},{"alias_kind":"pith_short_8","alias_value":"7JQFHFFT","created_at":"2026-07-05T08:53:38Z"}],"graph_snapshots":[{"event_id":"sha256:61ccf0c6fd0c6ee1867d0931488f07e3fb0ab635f303d5ad2000dce02ca107f8","target":"graph","created_at":"2026-07-05T08:53:38Z","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/2311.17451/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Digital twin, which enables emulation, evaluation, and optimization of physical entities through synchronized digital replicas, has gained increasing attention as a promising technology for intricate wireless networks. For 6G, numerous innovative wireless technologies and network architectures have posed new challenges in establishing wireless network digital twins. To tackle these challenges, artificial intelligence (AI), particularly the flourishing generative AI, emerges as a potential solution. In this article, we discuss emerging prerequisites for wireless network digital twins considerin","authors_text":"Wei Xu, Xiaohu You, Xiaoyun Wang, Yongming Huang, Zhenyu Tao","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2023-11-29T08:48:26Z","title":"Wireless Network Digital Twin for 6G: Generative AI as A Key Enabler"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.17451","kind":"arxiv","version":3},"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":"sha256:1fd4e976d54745629a4667ca8060fb0a96b8c37b7f1df163253a07b4160acf34","target":"record","created_at":"2026-07-05T08:53:38Z","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":"d5b3c6c7a8ed516da5383501a45f3a8fb7a0b076df830f2c11079f64e81ef226","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2023-11-29T08:48:26Z","title_canon_sha256":"c60ad3425c71c039b890a1f05e1283236dfba793266e08f8f3482403281f7e5e"},"schema_version":"1.0","source":{"id":"2311.17451","kind":"arxiv","version":3}},"canonical_sha256":"fa605394b3e30933c10c022d8342217c9bdd050b54a6bcdb3c214dca3db67d4b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fa605394b3e30933c10c022d8342217c9bdd050b54a6bcdb3c214dca3db67d4b","first_computed_at":"2026-07-05T08:53:38.428774Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:53:38.428774Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vXy1+36cpCIS75vP7Cionfo6E75r8j6JgfPqBN3HxRIdA5O0sbTfD7XYKbgGjHkRnhutkC9lBkmsCvXF7OozBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:53:38.429276Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.17451","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1fd4e976d54745629a4667ca8060fb0a96b8c37b7f1df163253a07b4160acf34","sha256:61ccf0c6fd0c6ee1867d0931488f07e3fb0ab635f303d5ad2000dce02ca107f8"],"state_sha256":"3f85df10dc9819b62f14a881e7c13aa25229ff8b480f859b394e999fe9ab548d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vLi7tVK2tM2sHdOkIARefvFNlmBvSMNFLnW2TQX3MUGplx55+7sNTuSrF3yF+a6fa8EgCh4KagxsBW0bbuckAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T16:43:23.488482Z","bundle_sha256":"38ea3b3c8758c00978cd3124cf8c75c2cb98ddd674d2cb76d7237da0f1598234"}}