{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:N3R7ME6RK2YVS7LBABOJQB2NR5","short_pith_number":"pith:N3R7ME6R","canonical_record":{"source":{"id":"1504.04679","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2015-04-18T03:26:01Z","cross_cats_sorted":[],"title_canon_sha256":"e8f1b66b2283c74ed073c523fb9cda9be2636cbc866978908ee8b2f9f1068bc8","abstract_canon_sha256":"12114b5c9797fd27d2ab312049029c7a7ec0c827237af56a590d8edb8b7c7523"},"schema_version":"1.0"},"canonical_sha256":"6ee3f613d156b1597d61005c98074d8f696df066b076d510a826a1dc0d5b8300","source":{"kind":"arxiv","id":"1504.04679","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1504.04679","created_at":"2026-05-18T00:43:03Z"},{"alias_kind":"arxiv_version","alias_value":"1504.04679v4","created_at":"2026-05-18T00:43:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1504.04679","created_at":"2026-05-18T00:43:03Z"},{"alias_kind":"pith_short_12","alias_value":"N3R7ME6RK2YV","created_at":"2026-05-18T12:29:32Z"},{"alias_kind":"pith_short_16","alias_value":"N3R7ME6RK2YVS7LB","created_at":"2026-05-18T12:29:32Z"},{"alias_kind":"pith_short_8","alias_value":"N3R7ME6R","created_at":"2026-05-18T12:29:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:N3R7ME6RK2YVS7LBABOJQB2NR5","target":"record","payload":{"canonical_record":{"source":{"id":"1504.04679","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2015-04-18T03:26:01Z","cross_cats_sorted":[],"title_canon_sha256":"e8f1b66b2283c74ed073c523fb9cda9be2636cbc866978908ee8b2f9f1068bc8","abstract_canon_sha256":"12114b5c9797fd27d2ab312049029c7a7ec0c827237af56a590d8edb8b7c7523"},"schema_version":"1.0"},"canonical_sha256":"6ee3f613d156b1597d61005c98074d8f696df066b076d510a826a1dc0d5b8300","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:43:03.291124Z","signature_b64":"BtQdbV3tupbOSdHQLKGvPX4A4TrxWZseLlQNAlmpqPwch8RwyckffwE/2tWTOXTDfHLzENQDh597EqiUOmRPDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6ee3f613d156b1597d61005c98074d8f696df066b076d510a826a1dc0d5b8300","last_reissued_at":"2026-05-18T00:43:03.290386Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:43:03.290386Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1504.04679","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:43:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o6uABt9I/p07WVvcPVlpo5ofp828bGcbF4M+vm5iVJHnZnLPNpmF4NDj0rGCaTpYPVeWEAe13v7C5Rir18K5BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T12:25:42.156040Z"},"content_sha256":"d57d7eaa18eab56678beddc777f5a056cc19d39c1f307116f30396560ac77002","schema_version":"1.0","event_id":"sha256:d57d7eaa18eab56678beddc777f5a056cc19d39c1f307116f30396560ac77002"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:N3R7ME6RK2YVS7LBABOJQB2NR5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Efficient Approximation Algorithms for Multi-Antennae Largest Weight Data Retrieval","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DS","authors_text":"Hong Shen, Longkun Guo, Wenxing Zhu","submitted_at":"2015-04-18T03:26:01Z","abstract_excerpt":"In a mobile network, wireless data broadcast over $m$ channels (frequencies) is a powerful means for distributed dissemination of data to clients who access the channels through multi-antennae equipped on their mobile devices. The $\\delta$-antennae largest weight data retrieval ($\\delta$ALWDR) problem is to compute a schedule for downloading a subset of data items that has a maximum total weight using $\\delta$ antennae in a given time interval. In this paper, we propose a ratio $1-\\frac{1}{e}-\\epsilon$ approximation algorithm for the $\\delta$-antennae largest weight data retrieval ($\\delta$ALW"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1504.04679","kind":"arxiv","version":4},"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":"2026-05-18T00:43:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"30eI3d8ECU+arJzoCcpy4Fi8/oB2i3GCI+gHfokUWnYgSTcUrCuZzcFS8kT+KjEeuIOtlwC33ia/MKpwhFIwBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T12:25:42.156759Z"},"content_sha256":"d15e9dec333f0a8c2a462b70eec5f7f8050ee57b7deacd6b94882bb4cf6550a0","schema_version":"1.0","event_id":"sha256:d15e9dec333f0a8c2a462b70eec5f7f8050ee57b7deacd6b94882bb4cf6550a0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/N3R7ME6RK2YVS7LBABOJQB2NR5/bundle.json","state_url":"https://pith.science/pith/N3R7ME6RK2YVS7LBABOJQB2NR5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/N3R7ME6RK2YVS7LBABOJQB2NR5/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":"2026-06-10T12:25:42Z","links":{"resolver":"https://pith.science/pith/N3R7ME6RK2YVS7LBABOJQB2NR5","bundle":"https://pith.science/pith/N3R7ME6RK2YVS7LBABOJQB2NR5/bundle.json","state":"https://pith.science/pith/N3R7ME6RK2YVS7LBABOJQB2NR5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/N3R7ME6RK2YVS7LBABOJQB2NR5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:N3R7ME6RK2YVS7LBABOJQB2NR5","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":"12114b5c9797fd27d2ab312049029c7a7ec0c827237af56a590d8edb8b7c7523","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2015-04-18T03:26:01Z","title_canon_sha256":"e8f1b66b2283c74ed073c523fb9cda9be2636cbc866978908ee8b2f9f1068bc8"},"schema_version":"1.0","source":{"id":"1504.04679","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1504.04679","created_at":"2026-05-18T00:43:03Z"},{"alias_kind":"arxiv_version","alias_value":"1504.04679v4","created_at":"2026-05-18T00:43:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1504.04679","created_at":"2026-05-18T00:43:03Z"},{"alias_kind":"pith_short_12","alias_value":"N3R7ME6RK2YV","created_at":"2026-05-18T12:29:32Z"},{"alias_kind":"pith_short_16","alias_value":"N3R7ME6RK2YVS7LB","created_at":"2026-05-18T12:29:32Z"},{"alias_kind":"pith_short_8","alias_value":"N3R7ME6R","created_at":"2026-05-18T12:29:32Z"}],"graph_snapshots":[{"event_id":"sha256:d15e9dec333f0a8c2a462b70eec5f7f8050ee57b7deacd6b94882bb4cf6550a0","target":"graph","created_at":"2026-05-18T00:43:03Z","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 a mobile network, wireless data broadcast over $m$ channels (frequencies) is a powerful means for distributed dissemination of data to clients who access the channels through multi-antennae equipped on their mobile devices. The $\\delta$-antennae largest weight data retrieval ($\\delta$ALWDR) problem is to compute a schedule for downloading a subset of data items that has a maximum total weight using $\\delta$ antennae in a given time interval. In this paper, we propose a ratio $1-\\frac{1}{e}-\\epsilon$ approximation algorithm for the $\\delta$-antennae largest weight data retrieval ($\\delta$ALW","authors_text":"Hong Shen, Longkun Guo, Wenxing Zhu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2015-04-18T03:26:01Z","title":"Efficient Approximation Algorithms for Multi-Antennae Largest Weight Data Retrieval"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1504.04679","kind":"arxiv","version":4},"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:d57d7eaa18eab56678beddc777f5a056cc19d39c1f307116f30396560ac77002","target":"record","created_at":"2026-05-18T00:43:03Z","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":"12114b5c9797fd27d2ab312049029c7a7ec0c827237af56a590d8edb8b7c7523","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2015-04-18T03:26:01Z","title_canon_sha256":"e8f1b66b2283c74ed073c523fb9cda9be2636cbc866978908ee8b2f9f1068bc8"},"schema_version":"1.0","source":{"id":"1504.04679","kind":"arxiv","version":4}},"canonical_sha256":"6ee3f613d156b1597d61005c98074d8f696df066b076d510a826a1dc0d5b8300","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6ee3f613d156b1597d61005c98074d8f696df066b076d510a826a1dc0d5b8300","first_computed_at":"2026-05-18T00:43:03.290386Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:43:03.290386Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BtQdbV3tupbOSdHQLKGvPX4A4TrxWZseLlQNAlmpqPwch8RwyckffwE/2tWTOXTDfHLzENQDh597EqiUOmRPDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:43:03.291124Z","signed_message":"canonical_sha256_bytes"},"source_id":"1504.04679","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d57d7eaa18eab56678beddc777f5a056cc19d39c1f307116f30396560ac77002","sha256:d15e9dec333f0a8c2a462b70eec5f7f8050ee57b7deacd6b94882bb4cf6550a0"],"state_sha256":"83914dc78e3260d6cd76cbab80e6fc96218c360d1f5d38a1bc9b83c831bfbd1c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AwhnzpyAwAV4BE1IQ+4KDQQ+oGRs4fDDYUYtwxLCQIwURcWCNfyEGda04szAxkozBzil1XPB+iOK+n3VSYehAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T12:25:42.160634Z","bundle_sha256":"ed573956a49439618dea2ba3c123a1a75cdecd53ce772a4e3912a3f86954776c"}}