{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:WJZA63BOMHPAQ5FO46WFIBQMYR","short_pith_number":"pith:WJZA63BO","schema_version":"1.0","canonical_sha256":"b2720f6c2e61de0874aee7ac54060cc4782063b6cb59d93b028eb18c84e3fc21","source":{"kind":"arxiv","id":"1612.08914","version":1},"attestation_state":"computed","paper":{"title":"Joint Network Coding and Machine Learning for Error-prone Wireless Broadcast","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Anh Nguyen, Canh Nguyen, Dong Nguyen, Hung Nguyen, Thuan Duong-Ba, Tuan Tran","submitted_at":"2016-12-28T16:11:40Z","abstract_excerpt":"Reliable broadcasting data to multiple receivers over lossy wireless channels is challenging due to the heterogeneity of the wireless link conditions. Automatic Repeat-reQuest (ARQ) based retransmission schemes are bandwidth inefficient due to data duplication at receivers. Network coding (NC) has been shown to be a promising technique for improving network bandwidth efficiency by combining multiple lost data packets for retransmission. However, it is challenging to accurately determine which lost packets should be combined together due to disrupted feedback channels. This paper proposes an ad"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1612.08914","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.NI","submitted_at":"2016-12-28T16:11:40Z","cross_cats_sorted":[],"title_canon_sha256":"9ccb8129a598af05648419119df2623c70168a0a672c346c23429864ebc341a5","abstract_canon_sha256":"65cdf57544b3af0a76d2bfec8281b8a32b1d1a489021001d3b268a496067cf23"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:53:46.860083Z","signature_b64":"RF8+bpV+Xmuk5chR2TFsGP0H/fNSZ6Ti6bB2VenXsnPg5c2dR00XNUbPn8fyltcIIW0HrdiYrm6wnjZGh5rmBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b2720f6c2e61de0874aee7ac54060cc4782063b6cb59d93b028eb18c84e3fc21","last_reissued_at":"2026-05-18T00:53:46.859732Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:53:46.859732Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Joint Network Coding and Machine Learning for Error-prone Wireless Broadcast","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Anh Nguyen, Canh Nguyen, Dong Nguyen, Hung Nguyen, Thuan Duong-Ba, Tuan Tran","submitted_at":"2016-12-28T16:11:40Z","abstract_excerpt":"Reliable broadcasting data to multiple receivers over lossy wireless channels is challenging due to the heterogeneity of the wireless link conditions. Automatic Repeat-reQuest (ARQ) based retransmission schemes are bandwidth inefficient due to data duplication at receivers. Network coding (NC) has been shown to be a promising technique for improving network bandwidth efficiency by combining multiple lost data packets for retransmission. However, it is challenging to accurately determine which lost packets should be combined together due to disrupted feedback channels. This paper proposes an ad"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.08914","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1612.08914","created_at":"2026-05-18T00:53:46.859787+00:00"},{"alias_kind":"arxiv_version","alias_value":"1612.08914v1","created_at":"2026-05-18T00:53:46.859787+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.08914","created_at":"2026-05-18T00:53:46.859787+00:00"},{"alias_kind":"pith_short_12","alias_value":"WJZA63BOMHPA","created_at":"2026-05-18T12:30:48.956258+00:00"},{"alias_kind":"pith_short_16","alias_value":"WJZA63BOMHPAQ5FO","created_at":"2026-05-18T12:30:48.956258+00:00"},{"alias_kind":"pith_short_8","alias_value":"WJZA63BO","created_at":"2026-05-18T12:30:48.956258+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/WJZA63BOMHPAQ5FO46WFIBQMYR","json":"https://pith.science/pith/WJZA63BOMHPAQ5FO46WFIBQMYR.json","graph_json":"https://pith.science/api/pith-number/WJZA63BOMHPAQ5FO46WFIBQMYR/graph.json","events_json":"https://pith.science/api/pith-number/WJZA63BOMHPAQ5FO46WFIBQMYR/events.json","paper":"https://pith.science/paper/WJZA63BO"},"agent_actions":{"view_html":"https://pith.science/pith/WJZA63BOMHPAQ5FO46WFIBQMYR","download_json":"https://pith.science/pith/WJZA63BOMHPAQ5FO46WFIBQMYR.json","view_paper":"https://pith.science/paper/WJZA63BO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1612.08914&json=true","fetch_graph":"https://pith.science/api/pith-number/WJZA63BOMHPAQ5FO46WFIBQMYR/graph.json","fetch_events":"https://pith.science/api/pith-number/WJZA63BOMHPAQ5FO46WFIBQMYR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WJZA63BOMHPAQ5FO46WFIBQMYR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WJZA63BOMHPAQ5FO46WFIBQMYR/action/storage_attestation","attest_author":"https://pith.science/pith/WJZA63BOMHPAQ5FO46WFIBQMYR/action/author_attestation","sign_citation":"https://pith.science/pith/WJZA63BOMHPAQ5FO46WFIBQMYR/action/citation_signature","submit_replication":"https://pith.science/pith/WJZA63BOMHPAQ5FO46WFIBQMYR/action/replication_record"}},"created_at":"2026-05-18T00:53:46.859787+00:00","updated_at":"2026-05-18T00:53:46.859787+00:00"}