{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:XACHGVIVPAF566UX5QVKAN7I7B","short_pith_number":"pith:XACHGVIV","canonical_record":{"source":{"id":"1901.04119","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-01-14T04:03:32Z","cross_cats_sorted":["cs.IT","math.IT"],"title_canon_sha256":"a7e11898f9caa7418239460137ec18d1216d6b1e37cd5b9a6f3abded283a42e3","abstract_canon_sha256":"93f83438756def38b6524d78c526c202da3768e0b32fea3fabb28d30dd12f3ab"},"schema_version":"1.0"},"canonical_sha256":"b804735515780bdf7a97ec2aa037e8f87ba09e9e8afb291c82830bfab9dcca6a","source":{"kind":"arxiv","id":"1901.04119","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.04119","created_at":"2026-05-17T23:48:16Z"},{"alias_kind":"arxiv_version","alias_value":"1901.04119v2","created_at":"2026-05-17T23:48:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.04119","created_at":"2026-05-17T23:48:16Z"},{"alias_kind":"pith_short_12","alias_value":"XACHGVIVPAF5","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"XACHGVIVPAF566UX","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"XACHGVIV","created_at":"2026-05-18T12:33:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:XACHGVIVPAF566UX5QVKAN7I7B","target":"record","payload":{"canonical_record":{"source":{"id":"1901.04119","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-01-14T04:03:32Z","cross_cats_sorted":["cs.IT","math.IT"],"title_canon_sha256":"a7e11898f9caa7418239460137ec18d1216d6b1e37cd5b9a6f3abded283a42e3","abstract_canon_sha256":"93f83438756def38b6524d78c526c202da3768e0b32fea3fabb28d30dd12f3ab"},"schema_version":"1.0"},"canonical_sha256":"b804735515780bdf7a97ec2aa037e8f87ba09e9e8afb291c82830bfab9dcca6a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:48:16.762854Z","signature_b64":"7PcytEAaGWIwKF41M5o89qbRFt/9uGC01xyM+eO87jNF3WWGjqK99yDvws8c0NPde+fOllsHjSikEih1q8hHCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b804735515780bdf7a97ec2aa037e8f87ba09e9e8afb291c82830bfab9dcca6a","last_reissued_at":"2026-05-17T23:48:16.762180Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:48:16.762180Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1901.04119","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":"2026-05-17T23:48:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Wx4PyBAAioXpF81CV3AJoFX7UOEHC8XfbzcMOo8noMGhiF51x64tTdf11ChARokscaob/UBZ/Hah+U0qUHZwCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T00:22:44.610077Z"},"content_sha256":"865eac319f8c64d7c193a54948298bfb2ba518175d96c3b1125532ff2ce5f0c7","schema_version":"1.0","event_id":"sha256:865eac319f8c64d7c193a54948298bfb2ba518175d96c3b1125532ff2ce5f0c7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:XACHGVIVPAF566UX5QVKAN7I7B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Predicting the Mumble of Wireless Channel with Sequence-to-Sequence Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IT","math.IT"],"primary_cat":"eess.SP","authors_text":"Chen Xu, Huazi Zhang, Jian Wang, Jun Wang, Rong Li, Xianbin Wang, Yourui Huangfu","submitted_at":"2019-01-14T04:03:32Z","abstract_excerpt":"Accurate prediction of fading channel in the upcoming transmission frame is essential to realize adaptive transmission for transmitters, and receivers with the ability of channel prediction can also save some computations of channel estimation. However, due to the rapid channel variation and channel estimation error, reliable prediction is hard to realize. In this situation, an appropriate channel model should be selected, which can cover both the statistical model and small scale fading of channel, this reminds us the natural languages, which also have statistical word frequency and specific "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.04119","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":""},"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":"2026-05-17T23:48:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"66BZPdmjUQ92x6kDm4XiVDdgZ7+rDPFXKgXLJvGcwoiz+wtUsfMG0IwkbPd1Cl991YntwEMw2kBGjOKe0LAOCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T00:22:44.610770Z"},"content_sha256":"3811dde5e40617c89148e2bb8377ea1cf4a3cbcedb9124b46914d9029915d1df","schema_version":"1.0","event_id":"sha256:3811dde5e40617c89148e2bb8377ea1cf4a3cbcedb9124b46914d9029915d1df"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XACHGVIVPAF566UX5QVKAN7I7B/bundle.json","state_url":"https://pith.science/pith/XACHGVIVPAF566UX5QVKAN7I7B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XACHGVIVPAF566UX5QVKAN7I7B/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":"2026-05-26T00:22:44Z","links":{"resolver":"https://pith.science/pith/XACHGVIVPAF566UX5QVKAN7I7B","bundle":"https://pith.science/pith/XACHGVIVPAF566UX5QVKAN7I7B/bundle.json","state":"https://pith.science/pith/XACHGVIVPAF566UX5QVKAN7I7B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XACHGVIVPAF566UX5QVKAN7I7B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:XACHGVIVPAF566UX5QVKAN7I7B","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":"93f83438756def38b6524d78c526c202da3768e0b32fea3fabb28d30dd12f3ab","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-01-14T04:03:32Z","title_canon_sha256":"a7e11898f9caa7418239460137ec18d1216d6b1e37cd5b9a6f3abded283a42e3"},"schema_version":"1.0","source":{"id":"1901.04119","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.04119","created_at":"2026-05-17T23:48:16Z"},{"alias_kind":"arxiv_version","alias_value":"1901.04119v2","created_at":"2026-05-17T23:48:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.04119","created_at":"2026-05-17T23:48:16Z"},{"alias_kind":"pith_short_12","alias_value":"XACHGVIVPAF5","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"XACHGVIVPAF566UX","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"XACHGVIV","created_at":"2026-05-18T12:33:33Z"}],"graph_snapshots":[{"event_id":"sha256:3811dde5e40617c89148e2bb8377ea1cf4a3cbcedb9124b46914d9029915d1df","target":"graph","created_at":"2026-05-17T23:48:16Z","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"},"paper":{"abstract_excerpt":"Accurate prediction of fading channel in the upcoming transmission frame is essential to realize adaptive transmission for transmitters, and receivers with the ability of channel prediction can also save some computations of channel estimation. However, due to the rapid channel variation and channel estimation error, reliable prediction is hard to realize. In this situation, an appropriate channel model should be selected, which can cover both the statistical model and small scale fading of channel, this reminds us the natural languages, which also have statistical word frequency and specific ","authors_text":"Chen Xu, Huazi Zhang, Jian Wang, Jun Wang, Rong Li, Xianbin Wang, Yourui Huangfu","cross_cats":["cs.IT","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-01-14T04:03:32Z","title":"Predicting the Mumble of Wireless Channel with Sequence-to-Sequence Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.04119","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":"sha256:865eac319f8c64d7c193a54948298bfb2ba518175d96c3b1125532ff2ce5f0c7","target":"record","created_at":"2026-05-17T23:48:16Z","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":"93f83438756def38b6524d78c526c202da3768e0b32fea3fabb28d30dd12f3ab","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-01-14T04:03:32Z","title_canon_sha256":"a7e11898f9caa7418239460137ec18d1216d6b1e37cd5b9a6f3abded283a42e3"},"schema_version":"1.0","source":{"id":"1901.04119","kind":"arxiv","version":2}},"canonical_sha256":"b804735515780bdf7a97ec2aa037e8f87ba09e9e8afb291c82830bfab9dcca6a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b804735515780bdf7a97ec2aa037e8f87ba09e9e8afb291c82830bfab9dcca6a","first_computed_at":"2026-05-17T23:48:16.762180Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:48:16.762180Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7PcytEAaGWIwKF41M5o89qbRFt/9uGC01xyM+eO87jNF3WWGjqK99yDvws8c0NPde+fOllsHjSikEih1q8hHCQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:48:16.762854Z","signed_message":"canonical_sha256_bytes"},"source_id":"1901.04119","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:865eac319f8c64d7c193a54948298bfb2ba518175d96c3b1125532ff2ce5f0c7","sha256:3811dde5e40617c89148e2bb8377ea1cf4a3cbcedb9124b46914d9029915d1df"],"state_sha256":"d876d4b301bd0139222fa7914d4a9ed37bd14934ef0a08ba27fee29600322c81"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RvZTfDC71HSOgpSaeWCB38DkjX6g0C04CZB136M0oO+nDSlvc8TwltMS8dOHpgLlrZQQgh+ESjwliXixk4cdDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T00:22:44.614658Z","bundle_sha256":"dfd76fde6ab6672cdbd21788e50b860658cdfd6fc04b4a3d6fd1dad42a2ac1e9"}}