{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:XN56AZK65ZXHLQKXQ727NDT3EO","short_pith_number":"pith:XN56AZK6","canonical_record":{"source":{"id":"1903.11385","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-03-13T11:38:10Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"3cb6717f29ecf6947dc1864c882e301b1f92b882203075bf2153b881c1526859","abstract_canon_sha256":"2757ba783a69a3b6d165edb24862beb23e05ce7fe77ea8798191a49686a067cd"},"schema_version":"1.0"},"canonical_sha256":"bb7be0655eee6e75c15787f5f68e7b239878f9bdfe917153ed9278431e8cce05","source":{"kind":"arxiv","id":"1903.11385","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.11385","created_at":"2026-05-17T23:50:03Z"},{"alias_kind":"arxiv_version","alias_value":"1903.11385v1","created_at":"2026-05-17T23:50:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.11385","created_at":"2026-05-17T23:50:03Z"},{"alias_kind":"pith_short_12","alias_value":"XN56AZK65ZXH","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"XN56AZK65ZXHLQKX","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"XN56AZK6","created_at":"2026-05-18T12:33:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:XN56AZK65ZXHLQKXQ727NDT3EO","target":"record","payload":{"canonical_record":{"source":{"id":"1903.11385","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-03-13T11:38:10Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"3cb6717f29ecf6947dc1864c882e301b1f92b882203075bf2153b881c1526859","abstract_canon_sha256":"2757ba783a69a3b6d165edb24862beb23e05ce7fe77ea8798191a49686a067cd"},"schema_version":"1.0"},"canonical_sha256":"bb7be0655eee6e75c15787f5f68e7b239878f9bdfe917153ed9278431e8cce05","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:50:03.435375Z","signature_b64":"Z17pOt/mu31CZ8kxDQYYrF27QdabJr04FbLIWKp6p8pQ26O63csUHZq+xF/56LyVmYP244fi7wWA4QA7mIBxBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bb7be0655eee6e75c15787f5f68e7b239878f9bdfe917153ed9278431e8cce05","last_reissued_at":"2026-05-17T23:50:03.434774Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:50:03.434774Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1903.11385","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":"2026-05-17T23:50:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F/Qj1cjiRSiqV9sJVpAUkHrBdfpJ0DeWTuwnpHhxld8z3Q5Zg0YYqii1ZKKlt/i8T1Jb/dc9ClyVuna66YKqBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T06:24:21.266236Z"},"content_sha256":"74d2e3c1fc4affc841c1d49203e907bf61bb07a109dbbde6d0f1e9501e3faebb","schema_version":"1.0","event_id":"sha256:74d2e3c1fc4affc841c1d49203e907bf61bb07a109dbbde6d0f1e9501e3faebb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:XN56AZK65ZXHLQKXQ727NDT3EO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Signal Demodulation with Machine Learning Methods for Physical Layer Visible Light Communications: Prototype Platform, Open Dataset and Algorithms","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"eess.SP","authors_text":"Chun Du, Hang Li, Han Zhang, Jiahui Dai, Shiyin Li, Shuai Ma, Songtao Lu","submitted_at":"2019-03-13T11:38:10Z","abstract_excerpt":"In this paper, we investigate the design and implementation of machine learning (ML) based demodulation methods in the physical layer of visible light communication (VLC) systems. We build a flexible hardware prototype of an end-to-end VLC system, from which the received signals are collected as the real data. The dataset is available online, which contains eight types of modulated signals. Then, we propose three ML demodulators based on convolutional neural network (CNN), deep belief network (DBN), and adaptive boosting (AdaBoost), respectively. Specifically, the CNN based demodulator convert"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.11385","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":""},"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":"2026-05-17T23:50:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VRG6h7kJ2rduVLRqoKFCkBRFrQrHlUadtjqd52iScnGim4iEt8nSGT7Gp9tVudnveMohzrURytjKRKwSpT9+CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T06:24:21.266878Z"},"content_sha256":"4284209b327e56ae40e29f2febe743b83e23e3199d6600878aa3340d26dd9474","schema_version":"1.0","event_id":"sha256:4284209b327e56ae40e29f2febe743b83e23e3199d6600878aa3340d26dd9474"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XN56AZK65ZXHLQKXQ727NDT3EO/bundle.json","state_url":"https://pith.science/pith/XN56AZK65ZXHLQKXQ727NDT3EO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XN56AZK65ZXHLQKXQ727NDT3EO/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":"2026-05-28T06:24:21Z","links":{"resolver":"https://pith.science/pith/XN56AZK65ZXHLQKXQ727NDT3EO","bundle":"https://pith.science/pith/XN56AZK65ZXHLQKXQ727NDT3EO/bundle.json","state":"https://pith.science/pith/XN56AZK65ZXHLQKXQ727NDT3EO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XN56AZK65ZXHLQKXQ727NDT3EO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:XN56AZK65ZXHLQKXQ727NDT3EO","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":"2757ba783a69a3b6d165edb24862beb23e05ce7fe77ea8798191a49686a067cd","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-03-13T11:38:10Z","title_canon_sha256":"3cb6717f29ecf6947dc1864c882e301b1f92b882203075bf2153b881c1526859"},"schema_version":"1.0","source":{"id":"1903.11385","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.11385","created_at":"2026-05-17T23:50:03Z"},{"alias_kind":"arxiv_version","alias_value":"1903.11385v1","created_at":"2026-05-17T23:50:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.11385","created_at":"2026-05-17T23:50:03Z"},{"alias_kind":"pith_short_12","alias_value":"XN56AZK65ZXH","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"XN56AZK65ZXHLQKX","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"XN56AZK6","created_at":"2026-05-18T12:33:33Z"}],"graph_snapshots":[{"event_id":"sha256:4284209b327e56ae40e29f2febe743b83e23e3199d6600878aa3340d26dd9474","target":"graph","created_at":"2026-05-17T23:50:03Z","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":"In this paper, we investigate the design and implementation of machine learning (ML) based demodulation methods in the physical layer of visible light communication (VLC) systems. We build a flexible hardware prototype of an end-to-end VLC system, from which the received signals are collected as the real data. The dataset is available online, which contains eight types of modulated signals. Then, we propose three ML demodulators based on convolutional neural network (CNN), deep belief network (DBN), and adaptive boosting (AdaBoost), respectively. Specifically, the CNN based demodulator convert","authors_text":"Chun Du, Hang Li, Han Zhang, Jiahui Dai, Shiyin Li, Shuai Ma, Songtao Lu","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-03-13T11:38:10Z","title":"Signal Demodulation with Machine Learning Methods for Physical Layer Visible Light Communications: Prototype Platform, Open Dataset and Algorithms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.11385","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":"sha256:74d2e3c1fc4affc841c1d49203e907bf61bb07a109dbbde6d0f1e9501e3faebb","target":"record","created_at":"2026-05-17T23:50:03Z","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":"2757ba783a69a3b6d165edb24862beb23e05ce7fe77ea8798191a49686a067cd","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-03-13T11:38:10Z","title_canon_sha256":"3cb6717f29ecf6947dc1864c882e301b1f92b882203075bf2153b881c1526859"},"schema_version":"1.0","source":{"id":"1903.11385","kind":"arxiv","version":1}},"canonical_sha256":"bb7be0655eee6e75c15787f5f68e7b239878f9bdfe917153ed9278431e8cce05","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bb7be0655eee6e75c15787f5f68e7b239878f9bdfe917153ed9278431e8cce05","first_computed_at":"2026-05-17T23:50:03.434774Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:50:03.434774Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z17pOt/mu31CZ8kxDQYYrF27QdabJr04FbLIWKp6p8pQ26O63csUHZq+xF/56LyVmYP244fi7wWA4QA7mIBxBg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:50:03.435375Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.11385","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:74d2e3c1fc4affc841c1d49203e907bf61bb07a109dbbde6d0f1e9501e3faebb","sha256:4284209b327e56ae40e29f2febe743b83e23e3199d6600878aa3340d26dd9474"],"state_sha256":"9ac77ba550b9ffaac706c1129d621687e4244ae42cecf7b92688891a72cc2ce1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1moZZqKiJGxrrqaNTxp/9GcApW0N7VOncSrZ3olbPamG0F3mF9I4vM6OXRsFpPzwsyas9jEOruYF3ZlVlgr+Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T06:24:21.270097Z","bundle_sha256":"e11c0e2d9908ba1766e7133038da9775c72c3a225e5b71b4e71cfe5d01730317"}}